A Corpus of 21st Century Scots Texts

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Neil, Gabriel


Total words by this author in corpus - 955
Total unique words used by this author in corpus - 366
Ratio of total words to unique words - 2.609
Top ten most common words - the, an, a, i, tae, that, o, is, €™s, snp,

Word frequency analysis

For these graphs we normalise the words used by the author to occurrences per million, and we calculate a similar normalised number of occurrences for the same word in each dialect. The author's norm is plotted against each dialect's norm in each graph.
If the dots line up with the diagonal line then the author is using words found in that dialect in about the typical frequency expected.
If the dots are below the dotted line, then the author's words are not found in the dialect as often as expected.
If the dots are along the y-axis, the words are not found in that dialect.
To save memory only the most frequent 200 words of the author's work are plotted.

ORK
the 785 author per 10,000 554 dialect per 10,000 an 272 author per 10,000 168 dialect per 10,000 a 272 author per 10,000 295 dialect per 10,000 i 230 author per 10,000 145 dialect per 10,000 tae 188 author per 10,000 224 dialect per 10,000 that 178 author per 10,000 84 dialect per 10,000 o 157 author per 10,000 194 dialect per 10,000 is 147 author per 10,000 74 dialect per 10,000 €™s 147 author per 10,000 24 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 24 dialect per 10,000 it 126 author per 10,000 25 dialect per 10,000 on 126 author per 10,000 76 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 35 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 15 dialect per 10,000 can 105 author per 10,000 15 dialect per 10,000 this 94 author per 10,000 39 dialect per 10,000 wi 94 author per 10,000 60 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 54 dialect per 10,000 at 84 author per 10,000 56 dialect per 10,000 scotland 73 author per 10,000 1 dialect per 10,000 green 73 author per 10,000 4 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 13 dialect per 10,000 €“ 63 author per 10,000 18 dialect per 10,000 they 63 author per 10,000 35 dialect per 10,000 but 63 author per 10,000 35 dialect per 10,000 like 52 author per 10,000 27 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 1 dialect per 10,000 muckle 52 author per 10,000 8 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 141 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 26 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 1 dialect per 10,000 be 42 author per 10,000 44 dialect per 10,000 wha 42 author per 10,000 4 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 28 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 1 dialect per 10,000 say 42 author per 10,000 11 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 ken 42 author per 10,000 17 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 20 dialect per 10,000 isna 31 author per 10,000 1 dialect per 10,000 bein 31 author per 10,000 1 dialect per 10,000 could 31 author per 10,000 13 dialect per 10,000 are 31 author per 10,000 14 dialect per 10,000 up 31 author per 10,000 26 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 9 dialect per 10,000 € 31 author per 10,000 7 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 58 dialect per 10,000 their 31 author per 10,000 8 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 2 dialect per 10,000 got 21 author per 10,000 13 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 11 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 4 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 2 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 1 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 1 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 7 dialect per 10,000 wey 21 author per 10,000 12 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 25 dialect per 10,000 whit 21 author per 10,000 32 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 2 dialect per 10,000 us 21 author per 10,000 6 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 8 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 1 dialect per 10,000 dinna 21 author per 10,000 4 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 3 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 5 dialect per 10,000 wad 21 author per 10,000 2 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 7 dialect per 10,000 taks 21 author per 10,000 6 dialect per 10,000 so 21 author per 10,000 30 dialect per 10,000 leuk 21 author per 10,000 3 dialect per 10,000 time 21 author per 10,000 18 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 50 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 15 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 3 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 18 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 1 dialect per 10,000 needs 10 author per 10,000 2 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 3 dialect per 10,000 whan 10 author per 10,000 11 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 3 dialect per 10,000 single 10 author per 10,000 2 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 11 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 11 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 4 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 6 dialect per 10,000 new 10 author per 10,000 10 dialect per 10,000 ane 10 author per 10,000 1 dialect per 10,000 or 10 author per 10,000 35 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 1 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
SHD
the 785 author per 10,000 26 dialect per 10,000 an 272 author per 10,000 342 dialect per 10,000 a 272 author per 10,000 267 dialect per 10,000 i 230 author per 10,000 162 dialect per 10,000 tae 188 author per 10,000 58 dialect per 10,000 that 178 author per 10,000 5 dialect per 10,000 o 157 author per 10,000 146 dialect per 10,000 is 147 author per 10,000 58 dialect per 10,000 €™s 147 author per 10,000 12 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 37 dialect per 10,000 it 126 author per 10,000 69 dialect per 10,000 on 126 author per 10,000 53 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 39 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 18 dialect per 10,000 this 94 author per 10,000 3 dialect per 10,000 wi 94 author per 10,000 94 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 78 dialect per 10,000 at 84 author per 10,000 116 dialect per 10,000 scotland 73 author per 10,000 1 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 24 dialect per 10,000 €“ 63 author per 10,000 2 dialect per 10,000 they 63 author per 10,000 2 dialect per 10,000 but 63 author per 10,000 29 dialect per 10,000 like 52 author per 10,000 3 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 15 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 95 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 20 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 8 dialect per 10,000 be 42 author per 10,000 55 dialect per 10,000 wha 42 author per 10,000 5 dialect per 10,000 lik 42 author per 10,000 10 dialect per 10,000 aboot 42 author per 10,000 42 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 1 dialect per 10,000 say 42 author per 10,000 13 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 ken 42 author per 10,000 17 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 2 dialect per 10,000 isna 31 author per 10,000 1 dialect per 10,000 bein 31 author per 10,000 5 dialect per 10,000 could 31 author per 10,000 12 dialect per 10,000 are 31 author per 10,000 2 dialect per 10,000 up 31 author per 10,000 46 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 14 dialect per 10,000 € 31 author per 10,000 3 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 38 dialect per 10,000 their 31 author per 10,000 1 dialect per 10,000 micht 31 author per 10,000 5 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 17 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 15 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 6 dialect per 10,000 got 21 author per 10,000 8 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 1 dialect per 10,000 naebody 21 author per 10,000 4 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 1 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 5 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 3 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 12 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 25 dialect per 10,000 whit 21 author per 10,000 41 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 2 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 13 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 1 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 6 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 1 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 5 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 2 dialect per 10,000 so 21 author per 10,000 30 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 23 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 46 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 5 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 7 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 1 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 1 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 4 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 9 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 12 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 9 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 9 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 8 dialect per 10,000 ane 10 author per 10,000 6 dialect per 10,000 or 10 author per 10,000 24 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 2 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 1 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
CAI
the 785 author per 10,000 847 dialect per 10,000 an 272 author per 10,000 16 dialect per 10,000 a 272 author per 10,000 269 dialect per 10,000 i 230 author per 10,000 150 dialect per 10,000 tae 188 author per 10,000 16 dialect per 10,000 that 178 author per 10,000 16 dialect per 10,000 o 157 author per 10,000 301 dialect per 10,000 is 147 author per 10,000 40 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 32 dialect per 10,000 it 126 author per 10,000 8 dialect per 10,000 on 126 author per 10,000 119 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 40 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 95 dialect per 10,000 can 105 author per 10,000 16 dialect per 10,000 this 94 author per 10,000 40 dialect per 10,000 wi 94 author per 10,000 63 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 24 dialect per 10,000 at 84 author per 10,000 40 dialect per 10,000 scotland 73 author per 10,000 8 dialect per 10,000 green 73 author per 10,000 8 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 40 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 40 dialect per 10,000 but 63 author per 10,000 8 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 8 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 8 dialect per 10,000 in 52 author per 10,000 253 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 24 dialect per 10,000 be 42 author per 10,000 8 dialect per 10,000 wha 42 author per 10,000 32 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 40 dialect per 10,000 ken 42 author per 10,000 8 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 24 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 32 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 71 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 32 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 8 dialect per 10,000 fowk 31 author per 10,000 8 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 8 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 16 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 8 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 24 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 8 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 32 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 8 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 8 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 8 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 63 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 8 dialect per 10,000 whan 10 author per 10,000 48 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 8 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 16 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
BLA
the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 0 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 0 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
NNB
the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 0 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 0 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
NNA
the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 0 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 0 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
MNA
the 785 author per 10,000 511 dialect per 10,000 an 272 author per 10,000 352 dialect per 10,000 a 272 author per 10,000 274 dialect per 10,000 i 230 author per 10,000 33 dialect per 10,000 tae 188 author per 10,000 150 dialect per 10,000 that 178 author per 10,000 48 dialect per 10,000 o 157 author per 10,000 194 dialect per 10,000 is 147 author per 10,000 35 dialect per 10,000 €™s 147 author per 10,000 28 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 25 dialect per 10,000 it 126 author per 10,000 107 dialect per 10,000 on 126 author per 10,000 57 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 16 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 94 dialect per 10,000 can 105 author per 10,000 10 dialect per 10,000 this 94 author per 10,000 14 dialect per 10,000 wi 94 author per 10,000 93 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 52 dialect per 10,000 at 84 author per 10,000 60 dialect per 10,000 scotland 73 author per 10,000 1 dialect per 10,000 green 73 author per 10,000 3 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 17 dialect per 10,000 €“ 63 author per 10,000 10 dialect per 10,000 they 63 author per 10,000 44 dialect per 10,000 but 63 author per 10,000 10 dialect per 10,000 like 52 author per 10,000 47 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 7 dialect per 10,000 muckle 52 author per 10,000 11 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 128 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 19 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 14 dialect per 10,000 be 42 author per 10,000 35 dialect per 10,000 wha 42 author per 10,000 1 dialect per 10,000 lik 42 author per 10,000 3 dialect per 10,000 aboot 42 author per 10,000 35 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 3 dialect per 10,000 say 42 author per 10,000 13 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 18 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 21 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 4 dialect per 10,000 could 31 author per 10,000 6 dialect per 10,000 are 31 author per 10,000 11 dialect per 10,000 up 31 author per 10,000 49 dialect per 10,000 strang 31 author per 10,000 1 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 5 dialect per 10,000 € 31 author per 10,000 26 dialect per 10,000 independence 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 6 dialect per 10,000 their 31 author per 10,000 24 dialect per 10,000 micht 31 author per 10,000 6 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 14 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 12 dialect per 10,000 fowk 31 author per 10,000 14 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 8 dialect per 10,000 wull 21 author per 10,000 3 dialect per 10,000 think 21 author per 10,000 11 dialect per 10,000 naebody 21 author per 10,000 3 dialect per 10,000 gey 21 author per 10,000 3 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 7 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 19 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 4 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 1 dialect per 10,000 eneuch 21 author per 10,000 2 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 2 dialect per 10,000 nor 21 author per 10,000 6 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 3 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 36 dialect per 10,000 whit 21 author per 10,000 3 dialect per 10,000 agin 21 author per 10,000 1 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 4 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 7 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 34 dialect per 10,000 dinna 21 author per 10,000 15 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 6 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 1 dialect per 10,000 yon 21 author per 10,000 9 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 35 dialect per 10,000 wad 21 author per 10,000 9 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 6 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 10 dialect per 10,000 leuk 21 author per 10,000 4 dialect per 10,000 time 21 author per 10,000 18 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 49 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 2 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 8 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 19 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 34 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 3 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 1 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 10 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 12 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 6 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 2 dialect per 10,000 new 10 author per 10,000 7 dialect per 10,000 ane 10 author per 10,000 5 dialect per 10,000 or 10 author per 10,000 20 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 2 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 2 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 3 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 1 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
MNB
the 785 author per 10,000 467 dialect per 10,000 an 272 author per 10,000 103 dialect per 10,000 a 272 author per 10,000 668 dialect per 10,000 i 230 author per 10,000 204 dialect per 10,000 tae 188 author per 10,000 316 dialect per 10,000 that 178 author per 10,000 78 dialect per 10,000 o 157 author per 10,000 133 dialect per 10,000 is 147 author per 10,000 13 dialect per 10,000 €™s 147 author per 10,000 24 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 24 dialect per 10,000 it 126 author per 10,000 198 dialect per 10,000 on 126 author per 10,000 78 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 78 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 8 dialect per 10,000 this 94 author per 10,000 28 dialect per 10,000 wi 94 author per 10,000 68 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 35 dialect per 10,000 at 84 author per 10,000 70 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 2 dialect per 10,000 hae 63 author per 10,000 3 dialect per 10,000 €“ 63 author per 10,000 6 dialect per 10,000 they 63 author per 10,000 30 dialect per 10,000 but 63 author per 10,000 40 dialect per 10,000 like 52 author per 10,000 11 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 5 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 2 dialect per 10,000 in 52 author per 10,000 128 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 11 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 3 dialect per 10,000 be 42 author per 10,000 59 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 52 dialect per 10,000 aw 42 author per 10,000 2 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 14 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 14 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 82 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 33 dialect per 10,000 are 31 author per 10,000 2 dialect per 10,000 up 31 author per 10,000 70 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 46 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 2 dialect per 10,000 their 31 author per 10,000 3 dialect per 10,000 micht 31 author per 10,000 5 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 3 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 24 dialect per 10,000 fowk 31 author per 10,000 9 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 59 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 3 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 13 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 13 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 11 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 3 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 46 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 21 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 9 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 55 dialect per 10,000 dinna 21 author per 10,000 2 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 35 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 8 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 65 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 21 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 68 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 8 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 8 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 27 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 2 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 27 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 27 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 13 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 8 dialect per 10,000 ane 10 author per 10,000 30 dialect per 10,000 or 10 author per 10,000 6 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 14 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 5 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 22 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
SNO
the 785 author per 10,000 728 dialect per 10,000 an 272 author per 10,000 125 dialect per 10,000 a 272 author per 10,000 284 dialect per 10,000 i 230 author per 10,000 171 dialect per 10,000 tae 188 author per 10,000 92 dialect per 10,000 that 178 author per 10,000 104 dialect per 10,000 o 157 author per 10,000 266 dialect per 10,000 is 147 author per 10,000 40 dialect per 10,000 €™s 147 author per 10,000 165 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 64 dialect per 10,000 it 126 author per 10,000 116 dialect per 10,000 on 126 author per 10,000 55 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 55 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 34 dialect per 10,000 can 105 author per 10,000 9 dialect per 10,000 this 94 author per 10,000 43 dialect per 10,000 wi 94 author per 10,000 104 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 61 dialect per 10,000 at 84 author per 10,000 46 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 3 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 34 dialect per 10,000 €“ 63 author per 10,000 9 dialect per 10,000 they 63 author per 10,000 52 dialect per 10,000 but 63 author per 10,000 67 dialect per 10,000 like 52 author per 10,000 43 dialect per 10,000 awready 52 author per 10,000 3 dialect per 10,000 gin 52 author per 10,000 12 dialect per 10,000 muckle 52 author per 10,000 18 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 3 dialect per 10,000 in 52 author per 10,000 184 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 21 dialect per 10,000 €™re 42 author per 10,000 9 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 18 dialect per 10,000 be 42 author per 10,000 24 dialect per 10,000 wha 42 author per 10,000 12 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 6 dialect per 10,000 aw 42 author per 10,000 9 dialect per 10,000 votin 42 author per 10,000 3 dialect per 10,000 €™ve 42 author per 10,000 12 dialect per 10,000 say 42 author per 10,000 9 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 28 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 46 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 3 dialect per 10,000 could 31 author per 10,000 3 dialect per 10,000 are 31 author per 10,000 28 dialect per 10,000 up 31 author per 10,000 37 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 6 dialect per 10,000 € 31 author per 10,000 15 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 24 dialect per 10,000 their 31 author per 10,000 9 dialect per 10,000 micht 31 author per 10,000 37 dialect per 10,000 monie 31 author per 10,000 3 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 15 dialect per 10,000 arena 31 author per 10,000 3 dialect per 10,000 richt 31 author per 10,000 9 dialect per 10,000 fowk 31 author per 10,000 15 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 9 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 6 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 6 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 9 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 18 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 3 dialect per 10,000 eneuch 21 author per 10,000 6 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 9 dialect per 10,000 nor 21 author per 10,000 12 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 6 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 37 dialect per 10,000 whit 21 author per 10,000 61 dialect per 10,000 agin 21 author per 10,000 3 dialect per 10,000 seem 21 author per 10,000 3 dialect per 10,000 us 21 author per 10,000 15 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 18 dialect per 10,000 dinna 21 author per 10,000 6 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 6 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 15 dialect per 10,000 become 21 author per 10,000 3 dialect per 10,000 daein 21 author per 10,000 6 dialect per 10,000 yer 21 author per 10,000 12 dialect per 10,000 wad 21 author per 10,000 9 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 18 dialect per 10,000 taks 21 author per 10,000 3 dialect per 10,000 so 21 author per 10,000 3 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 3 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 21 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 24 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 37 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 28 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 9 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 3 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 21 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 6 dialect per 10,000 meanin 10 author per 10,000 6 dialect per 10,000 get 10 author per 10,000 9 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 6 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 9 dialect per 10,000 ane 10 author per 10,000 6 dialect per 10,000 or 10 author per 10,000 12 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 3 dialect per 10,000 haudin 10 author per 10,000 3 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
DUN
the 785 author per 10,000 607 dialect per 10,000 an 272 author per 10,000 337 dialect per 10,000 a 272 author per 10,000 266 dialect per 10,000 i 230 author per 10,000 2 dialect per 10,000 tae 188 author per 10,000 207 dialect per 10,000 that 178 author per 10,000 192 dialect per 10,000 o 157 author per 10,000 318 dialect per 10,000 is 147 author per 10,000 68 dialect per 10,000 €™s 147 author per 10,000 1 dialect per 10,000 snp 136 author per 10,000 3 dialect per 10,000 for 136 author per 10,000 13 dialect per 10,000 it 126 author per 10,000 112 dialect per 10,000 on 126 author per 10,000 78 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 2 dialect per 10,000 we 115 author per 10,000 44 dialect per 10,000 pairty 115 author per 10,000 4 dialect per 10,000 ye 105 author per 10,000 38 dialect per 10,000 can 105 author per 10,000 2 dialect per 10,000 this 94 author per 10,000 51 dialect per 10,000 wi 94 author per 10,000 53 dialect per 10,000 labour 94 author per 10,000 2 dialect per 10,000 as 94 author per 10,000 79 dialect per 10,000 at 84 author per 10,000 46 dialect per 10,000 scotland 73 author per 10,000 25 dialect per 10,000 green 73 author per 10,000 1 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 40 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 70 dialect per 10,000 but 63 author per 10,000 54 dialect per 10,000 like 52 author per 10,000 26 dialect per 10,000 awready 52 author per 10,000 2 dialect per 10,000 gin 52 author per 10,000 11 dialect per 10,000 muckle 52 author per 10,000 7 dialect per 10,000 election 52 author per 10,000 1 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 3 dialect per 10,000 in 52 author per 10,000 174 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 18 dialect per 10,000 be 42 author per 10,000 58 dialect per 10,000 wha 42 author per 10,000 13 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 27 dialect per 10,000 aw 42 author per 10,000 49 dialect per 10,000 votin 42 author per 10,000 1 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 5 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 ken 42 author per 10,000 14 dialect per 10,000 holyrood 42 author per 10,000 1 dialect per 10,000 there 42 author per 10,000 41 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 16 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 31 dialect per 10,000 up 31 author per 10,000 41 dialect per 10,000 strang 31 author per 10,000 1 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 4 dialect per 10,000 € 31 author per 10,000 2 dialect per 10,000 independence 31 author per 10,000 3 dialect per 10,000 no 31 author per 10,000 39 dialect per 10,000 their 31 author per 10,000 36 dialect per 10,000 micht 31 author per 10,000 11 dialect per 10,000 monie 31 author per 10,000 16 dialect per 10,000 political 31 author per 10,000 4 dialect per 10,000 common 31 author per 10,000 2 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 18 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 13 dialect per 10,000 fowk 31 author per 10,000 42 dialect per 10,000 support 31 author per 10,000 3 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 17 dialect per 10,000 wull 21 author per 10,000 1 dialect per 10,000 think 21 author per 10,000 10 dialect per 10,000 naebody 21 author per 10,000 3 dialect per 10,000 gey 21 author per 10,000 6 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 3 dialect per 10,000 oor 21 author per 10,000 16 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 17 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 4 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 2 dialect per 10,000 nor 21 author per 10,000 10 dialect per 10,000 majority 21 author per 10,000 2 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 9 dialect per 10,000 wey 21 author per 10,000 16 dialect per 10,000 terms 21 author per 10,000 1 dialect per 10,000 doon 21 author per 10,000 6 dialect per 10,000 whit 21 author per 10,000 31 dialect per 10,000 agin 21 author per 10,000 9 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 9 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 11 dialect per 10,000 mak 21 author per 10,000 10 dialect per 10,000 sum 21 author per 10,000 3 dialect per 10,000 jist 21 author per 10,000 49 dialect per 10,000 dinna 21 author per 10,000 7 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 5 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 1 dialect per 10,000 yon 21 author per 10,000 4 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 5 dialect per 10,000 yer 21 author per 10,000 7 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 2 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 16 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 29 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 37 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 18 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 1 dialect per 10,000 them 10 author per 10,000 33 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 3 dialect per 10,000 needs 10 author per 10,000 2 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 14 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 2 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 1 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 21 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 10 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 7 dialect per 10,000 ane 10 author per 10,000 23 dialect per 10,000 or 10 author per 10,000 32 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 2 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
ABN
the 785 author per 10,000 618 dialect per 10,000 an 272 author per 10,000 212 dialect per 10,000 a 272 author per 10,000 259 dialect per 10,000 i 230 author per 10,000 93 dialect per 10,000 tae 188 author per 10,000 290 dialect per 10,000 that 178 author per 10,000 120 dialect per 10,000 o 157 author per 10,000 280 dialect per 10,000 is 147 author per 10,000 107 dialect per 10,000 €™s 147 author per 10,000 77 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 98 dialect per 10,000 it 126 author per 10,000 109 dialect per 10,000 on 126 author per 10,000 87 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 30 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 108 dialect per 10,000 can 105 author per 10,000 43 dialect per 10,000 this 94 author per 10,000 34 dialect per 10,000 wi 94 author per 10,000 58 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 72 dialect per 10,000 at 84 author per 10,000 47 dialect per 10,000 scotland 73 author per 10,000 8 dialect per 10,000 green 73 author per 10,000 5 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 23 dialect per 10,000 €“ 63 author per 10,000 12 dialect per 10,000 they 63 author per 10,000 37 dialect per 10,000 but 63 author per 10,000 41 dialect per 10,000 like 52 author per 10,000 33 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 5 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 166 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 9 dialect per 10,000 €™re 42 author per 10,000 4 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 17 dialect per 10,000 be 42 author per 10,000 65 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 37 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 8 dialect per 10,000 say 42 author per 10,000 10 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 9 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 21 dialect per 10,000 isna 31 author per 10,000 1 dialect per 10,000 bein 31 author per 10,000 13 dialect per 10,000 could 31 author per 10,000 8 dialect per 10,000 are 31 author per 10,000 42 dialect per 10,000 up 31 author per 10,000 60 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 27 dialect per 10,000 € 31 author per 10,000 9 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 1 dialect per 10,000 their 31 author per 10,000 36 dialect per 10,000 micht 31 author per 10,000 11 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 35 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 11 dialect per 10,000 fowk 31 author per 10,000 26 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 9 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 10 dialect per 10,000 naebody 21 author per 10,000 2 dialect per 10,000 gey 21 author per 10,000 2 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 21 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 2 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 17 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 1 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 5 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 3 dialect per 10,000 nor 21 author per 10,000 1 dialect per 10,000 majority 21 author per 10,000 1 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 6 dialect per 10,000 wey 21 author per 10,000 10 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 18 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 2 dialect per 10,000 seem 21 author per 10,000 2 dialect per 10,000 us 21 author per 10,000 11 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 16 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 31 dialect per 10,000 dinna 21 author per 10,000 14 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 4 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 1 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 2 dialect per 10,000 daein 21 author per 10,000 4 dialect per 10,000 yer 21 author per 10,000 47 dialect per 10,000 wad 21 author per 10,000 11 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 2 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 9 dialect per 10,000 taks 21 author per 10,000 2 dialect per 10,000 so 21 author per 10,000 10 dialect per 10,000 leuk 21 author per 10,000 2 dialect per 10,000 time 21 author per 10,000 21 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 44 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 1 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 1 dialect per 10,000 by 10 author per 10,000 16 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 6 dialect per 10,000 third 10 author per 10,000 2 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 29 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 2 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 2 dialect per 10,000 leuks 10 author per 10,000 1 dialect per 10,000 single 10 author per 10,000 2 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 3 dialect per 10,000 landscape 10 author per 10,000 1 dialect per 10,000 didna 10 author per 10,000 3 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 26 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 12 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 1 dialect per 10,000 new 10 author per 10,000 7 dialect per 10,000 ane 10 author per 10,000 18 dialect per 10,000 or 10 author per 10,000 30 dialect per 10,000 historical 10 author per 10,000 2 dialect per 10,000 getting 10 author per 10,000 2 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 4 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 1 dialect per 10,000
DOR
the 785 author per 10,000 641 dialect per 10,000 an 272 author per 10,000 396 dialect per 10,000 a 272 author per 10,000 218 dialect per 10,000 i 230 author per 10,000 165 dialect per 10,000 tae 188 author per 10,000 169 dialect per 10,000 that 178 author per 10,000 160 dialect per 10,000 o 157 author per 10,000 191 dialect per 10,000 is 147 author per 10,000 40 dialect per 10,000 €™s 147 author per 10,000 18 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 71 dialect per 10,000 it 126 author per 10,000 67 dialect per 10,000 on 126 author per 10,000 85 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 27 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 45 dialect per 10,000 can 105 author per 10,000 13 dialect per 10,000 this 94 author per 10,000 9 dialect per 10,000 wi 94 author per 10,000 129 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 71 dialect per 10,000 at 84 author per 10,000 85 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 4 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 31 dialect per 10,000 but 63 author per 10,000 58 dialect per 10,000 like 52 author per 10,000 45 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 4 dialect per 10,000 in 52 author per 10,000 196 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 27 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 4 dialect per 10,000 be 42 author per 10,000 27 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 62 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 4 dialect per 10,000 say 42 author per 10,000 18 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 13 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 27 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 13 dialect per 10,000 could 31 author per 10,000 31 dialect per 10,000 are 31 author per 10,000 18 dialect per 10,000 up 31 author per 10,000 36 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 18 dialect per 10,000 micht 31 author per 10,000 4 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 22 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 4 dialect per 10,000 fowk 31 author per 10,000 13 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 9 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 27 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 27 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 9 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 13 dialect per 10,000 nor 21 author per 10,000 13 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 9 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 36 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 22 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 4 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 45 dialect per 10,000 dinna 21 author per 10,000 4 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 13 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 4 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 36 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 13 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 22 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 40 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 22 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 40 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 13 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 4 dialect per 10,000 doors 10 author per 10,000 9 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 36 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 4 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 13 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 22 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 13 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 4 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 40 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 13 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 9 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
NEC
the 785 author per 10,000 760 dialect per 10,000 an 272 author per 10,000 291 dialect per 10,000 a 272 author per 10,000 255 dialect per 10,000 i 230 author per 10,000 46 dialect per 10,000 tae 188 author per 10,000 252 dialect per 10,000 that 178 author per 10,000 101 dialect per 10,000 o 157 author per 10,000 308 dialect per 10,000 is 147 author per 10,000 46 dialect per 10,000 €™s 147 author per 10,000 77 dialect per 10,000 snp 136 author per 10,000 1 dialect per 10,000 for 136 author per 10,000 48 dialect per 10,000 it 126 author per 10,000 98 dialect per 10,000 on 126 author per 10,000 54 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 31 dialect per 10,000 pairty 115 author per 10,000 4 dialect per 10,000 ye 105 author per 10,000 43 dialect per 10,000 can 105 author per 10,000 7 dialect per 10,000 this 94 author per 10,000 60 dialect per 10,000 wi 94 author per 10,000 93 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 61 dialect per 10,000 at 84 author per 10,000 54 dialect per 10,000 scotland 73 author per 10,000 35 dialect per 10,000 green 73 author per 10,000 3 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 31 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 78 dialect per 10,000 but 63 author per 10,000 46 dialect per 10,000 like 52 author per 10,000 16 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 12 dialect per 10,000 muckle 52 author per 10,000 24 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 8 dialect per 10,000 in 52 author per 10,000 173 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 7 dialect per 10,000 €™re 42 author per 10,000 3 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 23 dialect per 10,000 be 42 author per 10,000 39 dialect per 10,000 wha 42 author per 10,000 25 dialect per 10,000 lik 42 author per 10,000 1 dialect per 10,000 aboot 42 author per 10,000 34 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 1 dialect per 10,000 year 42 author per 10,000 12 dialect per 10,000 ken 42 author per 10,000 24 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 37 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 8 dialect per 10,000 could 31 author per 10,000 17 dialect per 10,000 are 31 author per 10,000 10 dialect per 10,000 up 31 author per 10,000 28 dialect per 10,000 strang 31 author per 10,000 3 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 17 dialect per 10,000 independence 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 11 dialect per 10,000 their 31 author per 10,000 63 dialect per 10,000 micht 31 author per 10,000 3 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 3 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 32 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 8 dialect per 10,000 fowk 31 author per 10,000 45 dialect per 10,000 support 31 author per 10,000 3 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 6 dialect per 10,000 wull 21 author per 10,000 1 dialect per 10,000 think 21 author per 10,000 4 dialect per 10,000 naebody 21 author per 10,000 7 dialect per 10,000 gey 21 author per 10,000 6 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 25 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 1 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 4 dialect per 10,000 eneuch 21 author per 10,000 4 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 8 dialect per 10,000 nor 21 author per 10,000 16 dialect per 10,000 majority 21 author per 10,000 1 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 4 dialect per 10,000 wey 21 author per 10,000 10 dialect per 10,000 terms 21 author per 10,000 1 dialect per 10,000 doon 21 author per 10,000 9 dialect per 10,000 whit 21 author per 10,000 20 dialect per 10,000 agin 21 author per 10,000 7 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 31 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 16 dialect per 10,000 mak 21 author per 10,000 9 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 1 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 1 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 12 dialect per 10,000 wad 21 author per 10,000 28 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 2 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 4 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 2 dialect per 10,000 leuk 21 author per 10,000 1 dialect per 10,000 time 21 author per 10,000 14 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 46 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 1 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 27 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 1 dialect per 10,000 €™d 10 author per 10,000 22 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 1 dialect per 10,000 them 10 author per 10,000 41 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 3 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 9 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 2 dialect per 10,000 leuks 10 author per 10,000 1 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 1 dialect per 10,000 didna 10 author per 10,000 3 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 12 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 10 dialect per 10,000 glesca 10 author per 10,000 1 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 7 dialect per 10,000 new 10 author per 10,000 16 dialect per 10,000 ane 10 author per 10,000 20 dialect per 10,000 or 10 author per 10,000 31 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 1 dialect per 10,000 later 10 author per 10,000 3 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 1 dialect per 10,000 wioot 10 author per 10,000 1 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
SEC
the 785 author per 10,000 614 dialect per 10,000 an 272 author per 10,000 213 dialect per 10,000 a 272 author per 10,000 273 dialect per 10,000 i 230 author per 10,000 42 dialect per 10,000 tae 188 author per 10,000 210 dialect per 10,000 that 178 author per 10,000 107 dialect per 10,000 o 157 author per 10,000 186 dialect per 10,000 is 147 author per 10,000 71 dialect per 10,000 €™s 147 author per 10,000 21 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 52 dialect per 10,000 it 126 author per 10,000 104 dialect per 10,000 on 126 author per 10,000 47 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 26 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 41 dialect per 10,000 can 105 author per 10,000 17 dialect per 10,000 this 94 author per 10,000 52 dialect per 10,000 wi 94 author per 10,000 61 dialect per 10,000 labour 94 author per 10,000 1 dialect per 10,000 as 94 author per 10,000 63 dialect per 10,000 at 84 author per 10,000 71 dialect per 10,000 scotland 73 author per 10,000 12 dialect per 10,000 green 73 author per 10,000 1 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 18 dialect per 10,000 €“ 63 author per 10,000 2 dialect per 10,000 they 63 author per 10,000 33 dialect per 10,000 but 63 author per 10,000 46 dialect per 10,000 like 52 author per 10,000 29 dialect per 10,000 awready 52 author per 10,000 1 dialect per 10,000 gin 52 author per 10,000 6 dialect per 10,000 muckle 52 author per 10,000 7 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 4 dialect per 10,000 in 52 author per 10,000 156 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 10 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 15 dialect per 10,000 be 42 author per 10,000 59 dialect per 10,000 wha 42 author per 10,000 4 dialect per 10,000 lik 42 author per 10,000 4 dialect per 10,000 aboot 42 author per 10,000 27 dialect per 10,000 aw 42 author per 10,000 42 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 1 dialect per 10,000 say 42 author per 10,000 9 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 ken 42 author per 10,000 17 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 20 dialect per 10,000 isna 31 author per 10,000 2 dialect per 10,000 bein 31 author per 10,000 9 dialect per 10,000 could 31 author per 10,000 8 dialect per 10,000 are 31 author per 10,000 12 dialect per 10,000 up 31 author per 10,000 36 dialect per 10,000 strang 31 author per 10,000 1 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 12 dialect per 10,000 € 31 author per 10,000 24 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 34 dialect per 10,000 their 31 author per 10,000 12 dialect per 10,000 micht 31 author per 10,000 6 dialect per 10,000 monie 31 author per 10,000 2 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 18 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 10 dialect per 10,000 fowk 31 author per 10,000 11 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 3 dialect per 10,000 got 21 author per 10,000 7 dialect per 10,000 wull 21 author per 10,000 1 dialect per 10,000 think 21 author per 10,000 5 dialect per 10,000 naebody 21 author per 10,000 1 dialect per 10,000 gey 21 author per 10,000 4 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 17 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 18 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 2 dialect per 10,000 weill 21 author per 10,000 2 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 2 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 6 dialect per 10,000 nor 21 author per 10,000 7 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 6 dialect per 10,000 wey 21 author per 10,000 15 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 13 dialect per 10,000 whit 21 author per 10,000 15 dialect per 10,000 agin 21 author per 10,000 2 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 12 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 8 dialect per 10,000 mak 21 author per 10,000 7 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 19 dialect per 10,000 dinna 21 author per 10,000 3 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 3 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 1 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 2 dialect per 10,000 yer 21 author per 10,000 12 dialect per 10,000 wad 21 author per 10,000 9 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 3 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 8 dialect per 10,000 leuk 21 author per 10,000 2 dialect per 10,000 time 21 author per 10,000 16 dialect per 10,000 saicont 21 author per 10,000 2 dialect per 10,000 oot 21 author per 10,000 34 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 5 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 1 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 12 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 4 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 7 dialect per 10,000 official 10 author per 10,000 1 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 12 dialect per 10,000 whan 10 author per 10,000 13 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 1 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 1 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 5 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 7 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 5 dialect per 10,000 glesca 10 author per 10,000 3 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 9 dialect per 10,000 ane 10 author per 10,000 13 dialect per 10,000 or 10 author per 10,000 31 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 4 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
WCE
the 785 author per 10,000 452 dialect per 10,000 an 272 author per 10,000 241 dialect per 10,000 a 272 author per 10,000 253 dialect per 10,000 i 230 author per 10,000 11 dialect per 10,000 tae 188 author per 10,000 237 dialect per 10,000 that 178 author per 10,000 105 dialect per 10,000 o 157 author per 10,000 98 dialect per 10,000 is 147 author per 10,000 37 dialect per 10,000 €™s 147 author per 10,000 19 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 14 dialect per 10,000 it 126 author per 10,000 136 dialect per 10,000 on 126 author per 10,000 52 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 33 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 54 dialect per 10,000 can 105 author per 10,000 15 dialect per 10,000 this 94 author per 10,000 35 dialect per 10,000 wi 94 author per 10,000 69 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 41 dialect per 10,000 at 84 author per 10,000 50 dialect per 10,000 scotland 73 author per 10,000 3 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 10 dialect per 10,000 €“ 63 author per 10,000 2 dialect per 10,000 they 63 author per 10,000 37 dialect per 10,000 but 63 author per 10,000 56 dialect per 10,000 like 52 author per 10,000 20 dialect per 10,000 awready 52 author per 10,000 2 dialect per 10,000 gin 52 author per 10,000 2 dialect per 10,000 muckle 52 author per 10,000 5 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 135 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 14 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 5 dialect per 10,000 be 42 author per 10,000 41 dialect per 10,000 wha 42 author per 10,000 9 dialect per 10,000 lik 42 author per 10,000 16 dialect per 10,000 aboot 42 author per 10,000 42 dialect per 10,000 aw 42 author per 10,000 55 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 2 dialect per 10,000 say 42 author per 10,000 14 dialect per 10,000 year 42 author per 10,000 9 dialect per 10,000 ken 42 author per 10,000 10 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 21 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 6 dialect per 10,000 could 31 author per 10,000 16 dialect per 10,000 are 31 author per 10,000 17 dialect per 10,000 up 31 author per 10,000 51 dialect per 10,000 strang 31 author per 10,000 1 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 4 dialect per 10,000 € 31 author per 10,000 5 dialect per 10,000 independence 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 43 dialect per 10,000 their 31 author per 10,000 13 dialect per 10,000 micht 31 author per 10,000 4 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 1 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 14 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 12 dialect per 10,000 fowk 31 author per 10,000 6 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 28 dialect per 10,000 wull 21 author per 10,000 2 dialect per 10,000 think 21 author per 10,000 18 dialect per 10,000 naebody 21 author per 10,000 2 dialect per 10,000 gey 21 author per 10,000 3 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 18 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 28 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 4 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 3 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 1 dialect per 10,000 nor 21 author per 10,000 2 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 1 dialect per 10,000 mind 21 author per 10,000 8 dialect per 10,000 wey 21 author per 10,000 4 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 17 dialect per 10,000 whit 21 author per 10,000 39 dialect per 10,000 agin 21 author per 10,000 1 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 20 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 6 dialect per 10,000 mak 21 author per 10,000 5 dialect per 10,000 sum 21 author per 10,000 1 dialect per 10,000 jist 21 author per 10,000 33 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 3 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 2 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 7 dialect per 10,000 yer 21 author per 10,000 20 dialect per 10,000 wad 21 author per 10,000 2 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 4 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 18 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 17 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 40 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 3 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 16 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 5 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 19 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 5 dialect per 10,000 whan 10 author per 10,000 2 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 22 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 4 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 8 dialect per 10,000 ane 10 author per 10,000 2 dialect per 10,000 or 10 author per 10,000 30 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 2 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 6 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 2 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
EDN
the 785 author per 10,000 526 dialect per 10,000 an 272 author per 10,000 247 dialect per 10,000 a 272 author per 10,000 273 dialect per 10,000 i 230 author per 10,000 24 dialect per 10,000 tae 188 author per 10,000 209 dialect per 10,000 that 178 author per 10,000 95 dialect per 10,000 o 157 author per 10,000 195 dialect per 10,000 is 147 author per 10,000 37 dialect per 10,000 €™s 147 author per 10,000 75 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 60 dialect per 10,000 it 126 author per 10,000 109 dialect per 10,000 on 126 author per 10,000 61 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 34 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 49 dialect per 10,000 can 105 author per 10,000 14 dialect per 10,000 this 94 author per 10,000 30 dialect per 10,000 wi 94 author per 10,000 73 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 60 dialect per 10,000 at 84 author per 10,000 67 dialect per 10,000 scotland 73 author per 10,000 5 dialect per 10,000 green 73 author per 10,000 1 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 30 dialect per 10,000 €“ 63 author per 10,000 4 dialect per 10,000 they 63 author per 10,000 62 dialect per 10,000 but 63 author per 10,000 16 dialect per 10,000 like 52 author per 10,000 12 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 11 dialect per 10,000 muckle 52 author per 10,000 7 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 129 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 10 dialect per 10,000 €™re 42 author per 10,000 15 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 14 dialect per 10,000 be 42 author per 10,000 54 dialect per 10,000 wha 42 author per 10,000 8 dialect per 10,000 lik 42 author per 10,000 9 dialect per 10,000 aboot 42 author per 10,000 21 dialect per 10,000 aw 42 author per 10,000 17 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 8 dialect per 10,000 say 42 author per 10,000 9 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 14 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 30 dialect per 10,000 isna 31 author per 10,000 1 dialect per 10,000 bein 31 author per 10,000 6 dialect per 10,000 could 31 author per 10,000 5 dialect per 10,000 are 31 author per 10,000 7 dialect per 10,000 up 31 author per 10,000 36 dialect per 10,000 strang 31 author per 10,000 2 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 19 dialect per 10,000 € 31 author per 10,000 187 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 30 dialect per 10,000 their 31 author per 10,000 9 dialect per 10,000 micht 31 author per 10,000 6 dialect per 10,000 monie 31 author per 10,000 1 dialect per 10,000 political 31 author per 10,000 1 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 14 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 13 dialect per 10,000 fowk 31 author per 10,000 14 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 11 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 9 dialect per 10,000 naebody 21 author per 10,000 3 dialect per 10,000 gey 21 author per 10,000 3 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 12 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 12 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 10 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 5 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 2 dialect per 10,000 nor 21 author per 10,000 6 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 1 dialect per 10,000 mind 21 author per 10,000 7 dialect per 10,000 wey 21 author per 10,000 14 dialect per 10,000 terms 21 author per 10,000 1 dialect per 10,000 doon 21 author per 10,000 18 dialect per 10,000 whit 21 author per 10,000 18 dialect per 10,000 agin 21 author per 10,000 4 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 14 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 9 dialect per 10,000 mak 21 author per 10,000 8 dialect per 10,000 sum 21 author per 10,000 1 dialect per 10,000 jist 21 author per 10,000 6 dialect per 10,000 dinna 21 author per 10,000 5 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 2 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 1 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 3 dialect per 10,000 yer 21 author per 10,000 8 dialect per 10,000 wad 21 author per 10,000 22 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 3 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 3 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 4 dialect per 10,000 leuk 21 author per 10,000 5 dialect per 10,000 time 21 author per 10,000 16 dialect per 10,000 saicont 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 32 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 1 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 1 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 11 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 15 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 8 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 29 dialect per 10,000 whan 10 author per 10,000 22 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 11 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 11 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 5 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 4 dialect per 10,000 ane 10 author per 10,000 6 dialect per 10,000 or 10 author per 10,000 21 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 2 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 1 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
GLA
the 785 author per 10,000 561 dialect per 10,000 an 272 author per 10,000 161 dialect per 10,000 a 272 author per 10,000 245 dialect per 10,000 i 230 author per 10,000 16 dialect per 10,000 tae 188 author per 10,000 211 dialect per 10,000 that 178 author per 10,000 113 dialect per 10,000 o 157 author per 10,000 64 dialect per 10,000 is 147 author per 10,000 47 dialect per 10,000 €™s 147 author per 10,000 144 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 23 dialect per 10,000 it 126 author per 10,000 165 dialect per 10,000 on 126 author per 10,000 26 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 42 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 87 dialect per 10,000 can 105 author per 10,000 9 dialect per 10,000 this 94 author per 10,000 35 dialect per 10,000 wi 94 author per 10,000 30 dialect per 10,000 labour 94 author per 10,000 1 dialect per 10,000 as 94 author per 10,000 58 dialect per 10,000 at 84 author per 10,000 59 dialect per 10,000 scotland 73 author per 10,000 2 dialect per 10,000 green 73 author per 10,000 4 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 2 dialect per 10,000 €“ 63 author per 10,000 8 dialect per 10,000 they 63 author per 10,000 39 dialect per 10,000 but 63 author per 10,000 46 dialect per 10,000 like 52 author per 10,000 52 dialect per 10,000 awready 52 author per 10,000 3 dialect per 10,000 gin 52 author per 10,000 1 dialect per 10,000 muckle 52 author per 10,000 1 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 136 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 19 dialect per 10,000 €™re 42 author per 10,000 15 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 3 dialect per 10,000 be 42 author per 10,000 35 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 28 dialect per 10,000 aw 42 author per 10,000 53 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 24 dialect per 10,000 say 42 author per 10,000 13 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 2 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 34 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 6 dialect per 10,000 could 31 author per 10,000 7 dialect per 10,000 are 31 author per 10,000 13 dialect per 10,000 up 31 author per 10,000 51 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 11 dialect per 10,000 € 31 author per 10,000 26 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 42 dialect per 10,000 their 31 author per 10,000 19 dialect per 10,000 micht 31 author per 10,000 1 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 6 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 3 dialect per 10,000 fowk 31 author per 10,000 1 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 2 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 8 dialect per 10,000 naebody 21 author per 10,000 1 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 10 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 32 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 9 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 1 dialect per 10,000 eneuch 21 author per 10,000 1 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 2 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 6 dialect per 10,000 wey 21 author per 10,000 3 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 35 dialect per 10,000 whit 21 author per 10,000 33 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 21 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 6 dialect per 10,000 mak 21 author per 10,000 2 dialect per 10,000 sum 21 author per 10,000 1 dialect per 10,000 jist 21 author per 10,000 8 dialect per 10,000 dinna 21 author per 10,000 1 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 2 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 3 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 2 dialect per 10,000 yer 21 author per 10,000 41 dialect per 10,000 wad 21 author per 10,000 1 dialect per 10,000 twitter 21 author per 10,000 1 dialect per 10,000 sayin 21 author per 10,000 3 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 5 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 20 dialect per 10,000 leuk 21 author per 10,000 1 dialect per 10,000 time 21 author per 10,000 18 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 56 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 1 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 22 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 24 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 2 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 19 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 2 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 3 dialect per 10,000 whan 10 author per 10,000 6 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 2 dialect per 10,000 landscape 10 author per 10,000 1 dialect per 10,000 didna 10 author per 10,000 1 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 32 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 5 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 6 dialect per 10,000 ane 10 author per 10,000 1 dialect per 10,000 or 10 author per 10,000 28 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 3 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 3 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 5 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 2 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
LAL
the 785 author per 10,000 525 dialect per 10,000 an 272 author per 10,000 132 dialect per 10,000 a 272 author per 10,000 253 dialect per 10,000 i 230 author per 10,000 69 dialect per 10,000 tae 188 author per 10,000 235 dialect per 10,000 that 178 author per 10,000 105 dialect per 10,000 o 157 author per 10,000 213 dialect per 10,000 is 147 author per 10,000 66 dialect per 10,000 €™s 147 author per 10,000 19 dialect per 10,000 snp 136 author per 10,000 3 dialect per 10,000 for 136 author per 10,000 67 dialect per 10,000 it 126 author per 10,000 127 dialect per 10,000 on 126 author per 10,000 62 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 2 dialect per 10,000 we 115 author per 10,000 30 dialect per 10,000 pairty 115 author per 10,000 2 dialect per 10,000 ye 105 author per 10,000 76 dialect per 10,000 can 105 author per 10,000 21 dialect per 10,000 this 94 author per 10,000 41 dialect per 10,000 wi 94 author per 10,000 66 dialect per 10,000 labour 94 author per 10,000 3 dialect per 10,000 as 94 author per 10,000 63 dialect per 10,000 at 84 author per 10,000 54 dialect per 10,000 scotland 73 author per 10,000 12 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 26 dialect per 10,000 €“ 63 author per 10,000 8 dialect per 10,000 they 63 author per 10,000 45 dialect per 10,000 but 63 author per 10,000 54 dialect per 10,000 like 52 author per 10,000 31 dialect per 10,000 awready 52 author per 10,000 2 dialect per 10,000 gin 52 author per 10,000 5 dialect per 10,000 muckle 52 author per 10,000 19 dialect per 10,000 election 52 author per 10,000 1 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 143 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 19 dialect per 10,000 €™re 42 author per 10,000 2 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 21 dialect per 10,000 be 42 author per 10,000 50 dialect per 10,000 wha 42 author per 10,000 7 dialect per 10,000 lik 42 author per 10,000 2 dialect per 10,000 aboot 42 author per 10,000 32 dialect per 10,000 aw 42 author per 10,000 53 dialect per 10,000 votin 42 author per 10,000 1 dialect per 10,000 €™ve 42 author per 10,000 2 dialect per 10,000 say 42 author per 10,000 13 dialect per 10,000 year 42 author per 10,000 6 dialect per 10,000 ken 42 author per 10,000 17 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 28 dialect per 10,000 isna 31 author per 10,000 3 dialect per 10,000 bein 31 author per 10,000 5 dialect per 10,000 could 31 author per 10,000 14 dialect per 10,000 are 31 author per 10,000 23 dialect per 10,000 up 31 author per 10,000 40 dialect per 10,000 strang 31 author per 10,000 2 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 5 dialect per 10,000 € 31 author per 10,000 9 dialect per 10,000 independence 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 34 dialect per 10,000 their 31 author per 10,000 23 dialect per 10,000 micht 31 author per 10,000 8 dialect per 10,000 monie 31 author per 10,000 1 dialect per 10,000 political 31 author per 10,000 2 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 26 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 19 dialect per 10,000 fowk 31 author per 10,000 10 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 4 dialect per 10,000 got 21 author per 10,000 12 dialect per 10,000 wull 21 author per 10,000 2 dialect per 10,000 think 21 author per 10,000 10 dialect per 10,000 naebody 21 author per 10,000 3 dialect per 10,000 gey 21 author per 10,000 9 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 12 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 1 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 44 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 5 dialect per 10,000 weill 21 author per 10,000 1 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 2 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 5 dialect per 10,000 nor 21 author per 10,000 5 dialect per 10,000 majority 21 author per 10,000 1 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 7 dialect per 10,000 wey 21 author per 10,000 16 dialect per 10,000 terms 21 author per 10,000 1 dialect per 10,000 doon 21 author per 10,000 23 dialect per 10,000 whit 21 author per 10,000 36 dialect per 10,000 agin 21 author per 10,000 2 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 11 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 1 dialect per 10,000 whaur 21 author per 10,000 8 dialect per 10,000 mak 21 author per 10,000 11 dialect per 10,000 sum 21 author per 10,000 1 dialect per 10,000 jist 21 author per 10,000 28 dialect per 10,000 dinna 21 author per 10,000 6 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 3 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 1 dialect per 10,000 yon 21 author per 10,000 5 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 5 dialect per 10,000 yer 21 author per 10,000 21 dialect per 10,000 wad 21 author per 10,000 7 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 4 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 2 dialect per 10,000 so 21 author per 10,000 4 dialect per 10,000 leuk 21 author per 10,000 1 dialect per 10,000 time 21 author per 10,000 16 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 47 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 1 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 18 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 2 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 26 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 1 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 3 dialect per 10,000 whan 10 author per 10,000 9 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 8 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 18 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 6 dialect per 10,000 glesca 10 author per 10,000 1 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 5 dialect per 10,000 ane 10 author per 10,000 8 dialect per 10,000 or 10 author per 10,000 27 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 2 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 1 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 2 dialect per 10,000 openin 10 author per 10,000 1 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
SEA
the 785 author per 10,000 390 dialect per 10,000 an 272 author per 10,000 319 dialect per 10,000 a 272 author per 10,000 231 dialect per 10,000 i 230 author per 10,000 71 dialect per 10,000 tae 188 author per 10,000 214 dialect per 10,000 that 178 author per 10,000 60 dialect per 10,000 o 157 author per 10,000 203 dialect per 10,000 is 147 author per 10,000 64 dialect per 10,000 €™s 147 author per 10,000 41 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 17 dialect per 10,000 it 126 author per 10,000 55 dialect per 10,000 on 126 author per 10,000 52 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 5 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 6 dialect per 10,000 can 105 author per 10,000 10 dialect per 10,000 this 94 author per 10,000 32 dialect per 10,000 wi 94 author per 10,000 68 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 53 dialect per 10,000 at 84 author per 10,000 83 dialect per 10,000 scotland 73 author per 10,000 2 dialect per 10,000 green 73 author per 10,000 1 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 36 dialect per 10,000 €“ 63 author per 10,000 2 dialect per 10,000 they 63 author per 10,000 28 dialect per 10,000 but 63 author per 10,000 37 dialect per 10,000 like 52 author per 10,000 2 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 8 dialect per 10,000 muckle 52 author per 10,000 6 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 97 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 12 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 29 dialect per 10,000 be 42 author per 10,000 5 dialect per 10,000 wha 42 author per 10,000 1 dialect per 10,000 lik 42 author per 10,000 19 dialect per 10,000 aboot 42 author per 10,000 32 dialect per 10,000 aw 42 author per 10,000 39 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 5 dialect per 10,000 say 42 author per 10,000 20 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 19 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 16 dialect per 10,000 isna 31 author per 10,000 1 dialect per 10,000 bein 31 author per 10,000 5 dialect per 10,000 could 31 author per 10,000 12 dialect per 10,000 are 31 author per 10,000 9 dialect per 10,000 up 31 author per 10,000 42 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 € 31 author per 10,000 14 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 26 dialect per 10,000 their 31 author per 10,000 11 dialect per 10,000 micht 31 author per 10,000 8 dialect per 10,000 monie 31 author per 10,000 4 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 16 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 22 dialect per 10,000 fowk 31 author per 10,000 4 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 2 dialect per 10,000 got 21 author per 10,000 12 dialect per 10,000 wull 21 author per 10,000 10 dialect per 10,000 think 21 author per 10,000 7 dialect per 10,000 naebody 21 author per 10,000 2 dialect per 10,000 gey 21 author per 10,000 8 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 11 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 24 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 5 dialect per 10,000 weill 21 author per 10,000 3 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 1 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 2 dialect per 10,000 nor 21 author per 10,000 3 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 7 dialect per 10,000 wey 21 author per 10,000 2 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 26 dialect per 10,000 whit 21 author per 10,000 33 dialect per 10,000 agin 21 author per 10,000 16 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 1 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 6 dialect per 10,000 mak 21 author per 10,000 7 dialect per 10,000 sum 21 author per 10,000 2 dialect per 10,000 jist 21 author per 10,000 13 dialect per 10,000 dinna 21 author per 10,000 1 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 16 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 10 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 6 dialect per 10,000 wad 21 author per 10,000 2 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 4 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 4 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 2 dialect per 10,000 leuk 21 author per 10,000 2 dialect per 10,000 time 21 author per 10,000 13 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 34 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 1 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 2 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 7 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 1 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 1 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 9 dialect per 10,000 whan 10 author per 10,000 34 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 1 dialect per 10,000 meanin 10 author per 10,000 2 dialect per 10,000 get 10 author per 10,000 10 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 5 dialect per 10,000 glesca 10 author per 10,000 1 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 1 dialect per 10,000 new 10 author per 10,000 6 dialect per 10,000 ane 10 author per 10,000 10 dialect per 10,000 or 10 author per 10,000 22 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 7 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 1 dialect per 10,000 account 10 author per 10,000 1 dialect per 10,000
SWE
the 785 author per 10,000 645 dialect per 10,000 an 272 author per 10,000 268 dialect per 10,000 a 272 author per 10,000 310 dialect per 10,000 i 230 author per 10,000 20 dialect per 10,000 tae 188 author per 10,000 174 dialect per 10,000 that 178 author per 10,000 81 dialect per 10,000 o 157 author per 10,000 166 dialect per 10,000 is 147 author per 10,000 64 dialect per 10,000 €™s 147 author per 10,000 5 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 14 dialect per 10,000 it 126 author per 10,000 84 dialect per 10,000 on 126 author per 10,000 36 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 1 dialect per 10,000 we 115 author per 10,000 56 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 93 dialect per 10,000 can 105 author per 10,000 18 dialect per 10,000 this 94 author per 10,000 42 dialect per 10,000 wi 94 author per 10,000 71 dialect per 10,000 labour 94 author per 10,000 2 dialect per 10,000 as 94 author per 10,000 56 dialect per 10,000 at 84 author per 10,000 45 dialect per 10,000 scotland 73 author per 10,000 5 dialect per 10,000 green 73 author per 10,000 5 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 18 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 43 dialect per 10,000 but 63 author per 10,000 43 dialect per 10,000 like 52 author per 10,000 17 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 7 dialect per 10,000 muckle 52 author per 10,000 5 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 4 dialect per 10,000 in 52 author per 10,000 160 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 19 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 18 dialect per 10,000 be 42 author per 10,000 36 dialect per 10,000 wha 42 author per 10,000 6 dialect per 10,000 lik 42 author per 10,000 15 dialect per 10,000 aboot 42 author per 10,000 16 dialect per 10,000 aw 42 author per 10,000 27 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 6 dialect per 10,000 year 42 author per 10,000 6 dialect per 10,000 ken 42 author per 10,000 15 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 13 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 2 dialect per 10,000 could 31 author per 10,000 16 dialect per 10,000 are 31 author per 10,000 19 dialect per 10,000 up 31 author per 10,000 36 dialect per 10,000 strang 31 author per 10,000 2 dialect per 10,000 situation 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 16 dialect per 10,000 € 31 author per 10,000 2 dialect per 10,000 independence 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 27 dialect per 10,000 their 31 author per 10,000 15 dialect per 10,000 micht 31 author per 10,000 4 dialect per 10,000 monie 31 author per 10,000 2 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 2 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 20 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 6 dialect per 10,000 fowk 31 author per 10,000 6 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 2 dialect per 10,000 wull 21 author per 10,000 4 dialect per 10,000 think 21 author per 10,000 8 dialect per 10,000 naebody 21 author per 10,000 1 dialect per 10,000 gey 21 author per 10,000 4 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 25 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 2 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 6 dialect per 10,000 eneuch 21 author per 10,000 1 dialect per 10,000 votes 21 author per 10,000 1 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 4 dialect per 10,000 nor 21 author per 10,000 9 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 11 dialect per 10,000 wey 21 author per 10,000 7 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 23 dialect per 10,000 whit 21 author per 10,000 17 dialect per 10,000 agin 21 author per 10,000 2 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 22 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 15 dialect per 10,000 mak 21 author per 10,000 8 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 28 dialect per 10,000 dinna 21 author per 10,000 2 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 5 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 10 dialect per 10,000 become 21 author per 10,000 1 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 59 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 1 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 5 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 11 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 25 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 32 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 25 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 1 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 1 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 15 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 1 dialect per 10,000 needs 10 author per 10,000 1 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 1 dialect per 10,000 whan 10 author per 10,000 1 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 1 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 1 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 1 dialect per 10,000 get 10 author per 10,000 14 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 8 dialect per 10,000 glesca 10 author per 10,000 1 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 16 dialect per 10,000 ane 10 author per 10,000 4 dialect per 10,000 or 10 author per 10,000 29 dialect per 10,000 historical 10 author per 10,000 1 dialect per 10,000 getting 10 author per 10,000 2 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 2 dialect per 10,000 haudin 10 author per 10,000 1 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 5 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 1 dialect per 10,000 openin 10 author per 10,000 1 dialect per 10,000 account 10 author per 10,000 1 dialect per 10,000
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the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 0 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 0 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
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the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 172 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 345 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 172 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 172 dialect per 10,000 aboot 42 author per 10,000 172 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 172 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
WUL
the 785 author per 10,000 500 dialect per 10,000 an 272 author per 10,000 111 dialect per 10,000 a 272 author per 10,000 341 dialect per 10,000 i 230 author per 10,000 2 dialect per 10,000 tae 188 author per 10,000 292 dialect per 10,000 that 178 author per 10,000 73 dialect per 10,000 o 157 author per 10,000 6 dialect per 10,000 is 147 author per 10,000 60 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 60 dialect per 10,000 it 126 author per 10,000 88 dialect per 10,000 on 126 author per 10,000 86 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 56 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 34 dialect per 10,000 can 105 author per 10,000 17 dialect per 10,000 this 94 author per 10,000 39 dialect per 10,000 wi 94 author per 10,000 9 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 41 dialect per 10,000 at 84 author per 10,000 52 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 4 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 142 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 60 dialect per 10,000 but 63 author per 10,000 60 dialect per 10,000 like 52 author per 10,000 4 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 13 dialect per 10,000 in 52 author per 10,000 170 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 56 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 34 dialect per 10,000 be 42 author per 10,000 28 dialect per 10,000 wha 42 author per 10,000 2 dialect per 10,000 lik 42 author per 10,000 4 dialect per 10,000 aboot 42 author per 10,000 34 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 17 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 15 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 2 dialect per 10,000 are 31 author per 10,000 15 dialect per 10,000 up 31 author per 10,000 32 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 2 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 32 dialect per 10,000 their 31 author per 10,000 2 dialect per 10,000 micht 31 author per 10,000 9 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 9 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 7 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 6 dialect per 10,000 got 21 author per 10,000 32 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 28 dialect per 10,000 naebody 21 author per 10,000 4 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 30 dialect per 10,000 respect 21 author per 10,000 2 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 47 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 4 dialect per 10,000 eneuch 21 author per 10,000 2 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 34 dialect per 10,000 whit 21 author per 10,000 26 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 4 dialect per 10,000 mak 21 author per 10,000 2 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 32 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 2 dialect per 10,000 fair 21 author per 10,000 7 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 2 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 2 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 9 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 28 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 30 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 37 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 15 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 2 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 2 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 9 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 13 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 7 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 22 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 4 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 4 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
CUL
the 785 author per 10,000 578 dialect per 10,000 an 272 author per 10,000 338 dialect per 10,000 a 272 author per 10,000 394 dialect per 10,000 i 230 author per 10,000 22 dialect per 10,000 tae 188 author per 10,000 266 dialect per 10,000 that 178 author per 10,000 107 dialect per 10,000 o 157 author per 10,000 201 dialect per 10,000 is 147 author per 10,000 42 dialect per 10,000 €™s 147 author per 10,000 3 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 13 dialect per 10,000 it 126 author per 10,000 187 dialect per 10,000 on 126 author per 10,000 77 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 3 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 14 dialect per 10,000 can 105 author per 10,000 10 dialect per 10,000 this 94 author per 10,000 49 dialect per 10,000 wi 94 author per 10,000 63 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 9 dialect per 10,000 at 84 author per 10,000 58 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 1 dialect per 10,000 list 73 author per 10,000 1 dialect per 10,000 hae 63 author per 10,000 87 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 54 dialect per 10,000 but 63 author per 10,000 54 dialect per 10,000 like 52 author per 10,000 1 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 1 dialect per 10,000 muckle 52 author per 10,000 2 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 3 dialect per 10,000 in 52 author per 10,000 136 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 31 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 30 dialect per 10,000 be 42 author per 10,000 9 dialect per 10,000 wha 42 author per 10,000 21 dialect per 10,000 lik 42 author per 10,000 29 dialect per 10,000 aboot 42 author per 10,000 40 dialect per 10,000 aw 42 author per 10,000 6 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 17 dialect per 10,000 year 42 author per 10,000 3 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 4 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 1 dialect per 10,000 could 31 author per 10,000 1 dialect per 10,000 are 31 author per 10,000 1 dialect per 10,000 up 31 author per 10,000 34 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 3 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 1 dialect per 10,000 their 31 author per 10,000 1 dialect per 10,000 micht 31 author per 10,000 10 dialect per 10,000 monie 31 author per 10,000 3 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 23 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 18 dialect per 10,000 fowk 31 author per 10,000 4 dialect per 10,000 support 31 author per 10,000 1 dialect per 10,000 nixt 31 author per 10,000 12 dialect per 10,000 got 21 author per 10,000 12 dialect per 10,000 wull 21 author per 10,000 13 dialect per 10,000 think 21 author per 10,000 23 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 8 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 39 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 1 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 4 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 36 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 3 dialect per 10,000 seem 21 author per 10,000 4 dialect per 10,000 us 21 author per 10,000 2 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 9 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 1 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 1 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 2 dialect per 10,000 yer 21 author per 10,000 25 dialect per 10,000 wad 21 author per 10,000 2 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 7 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 9 dialect per 10,000 taks 21 author per 10,000 1 dialect per 10,000 so 21 author per 10,000 13 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 20 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 47 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 1 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 4 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 1 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 5 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 7 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 3 dialect per 10,000 get 10 author per 10,000 1 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 3 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 3 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 26 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 2 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 1 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 1 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 1 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
BUL
the 785 author per 10,000 428 dialect per 10,000 an 272 author per 10,000 404 dialect per 10,000 a 272 author per 10,000 235 dialect per 10,000 i 230 author per 10,000 15 dialect per 10,000 tae 188 author per 10,000 135 dialect per 10,000 that 178 author per 10,000 25 dialect per 10,000 o 157 author per 10,000 125 dialect per 10,000 is 147 author per 10,000 20 dialect per 10,000 €™s 147 author per 10,000 21 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 26 dialect per 10,000 it 126 author per 10,000 40 dialect per 10,000 on 126 author per 10,000 35 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 27 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 89 dialect per 10,000 can 105 author per 10,000 5 dialect per 10,000 this 94 author per 10,000 31 dialect per 10,000 wi 94 author per 10,000 56 dialect per 10,000 labour 94 author per 10,000 1 dialect per 10,000 as 94 author per 10,000 25 dialect per 10,000 at 84 author per 10,000 38 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 3 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 30 dialect per 10,000 €“ 63 author per 10,000 1 dialect per 10,000 they 63 author per 10,000 45 dialect per 10,000 but 63 author per 10,000 28 dialect per 10,000 like 52 author per 10,000 8 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 3 dialect per 10,000 muckle 52 author per 10,000 1 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 1 dialect per 10,000 in 52 author per 10,000 116 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 33 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 46 dialect per 10,000 be 42 author per 10,000 30 dialect per 10,000 wha 42 author per 10,000 4 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 17 dialect per 10,000 aw 42 author per 10,000 3 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 1 dialect per 10,000 say 42 author per 10,000 5 dialect per 10,000 year 42 author per 10,000 2 dialect per 10,000 ken 42 author per 10,000 3 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 17 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 4 dialect per 10,000 could 31 author per 10,000 4 dialect per 10,000 are 31 author per 10,000 6 dialect per 10,000 up 31 author per 10,000 27 dialect per 10,000 strang 31 author per 10,000 3 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 3 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 2 dialect per 10,000 their 31 author per 10,000 21 dialect per 10,000 micht 31 author per 10,000 8 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 3 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 24 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 7 dialect per 10,000 fowk 31 author per 10,000 5 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 7 dialect per 10,000 got 21 author per 10,000 6 dialect per 10,000 wull 21 author per 10,000 12 dialect per 10,000 think 21 author per 10,000 7 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 4 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 35 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 2 dialect per 10,000 eneuch 21 author per 10,000 1 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 12 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 6 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 41 dialect per 10,000 whit 21 author per 10,000 4 dialect per 10,000 agin 21 author per 10,000 9 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 3 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 4 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 2 dialect per 10,000 dinna 21 author per 10,000 2 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 7 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 62 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 4 dialect per 10,000 leuk 21 author per 10,000 1 dialect per 10,000 time 21 author per 10,000 15 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 59 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 15 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 1 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 19 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 6 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 6 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 5 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 8 dialect per 10,000 whan 10 author per 10,000 8 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 2 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 1 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 4 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 2 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 37 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
SUL
the 785 author per 10,000 357 dialect per 10,000 an 272 author per 10,000 58 dialect per 10,000 a 272 author per 10,000 299 dialect per 10,000 i 230 author per 10,000 216 dialect per 10,000 tae 188 author per 10,000 191 dialect per 10,000 that 178 author per 10,000 183 dialect per 10,000 o 157 author per 10,000 149 dialect per 10,000 is 147 author per 10,000 66 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 41 dialect per 10,000 it 126 author per 10,000 66 dialect per 10,000 on 126 author per 10,000 50 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 41 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 50 dialect per 10,000 can 105 author per 10,000 41 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 50 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 33 dialect per 10,000 at 84 author per 10,000 41 dialect per 10,000 scotland 73 author per 10,000 8 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 25 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 58 dialect per 10,000 but 63 author per 10,000 58 dialect per 10,000 like 52 author per 10,000 41 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 274 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 17 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 8 dialect per 10,000 be 42 author per 10,000 25 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 58 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 17 dialect per 10,000 year 42 author per 10,000 8 dialect per 10,000 ken 42 author per 10,000 33 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 8 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 25 dialect per 10,000 up 31 author per 10,000 33 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 50 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 33 dialect per 10,000 their 31 author per 10,000 50 dialect per 10,000 micht 31 author per 10,000 8 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 8 dialect per 10,000 fowk 31 author per 10,000 17 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 25 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 33 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 41 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 8 dialect per 10,000 wey 21 author per 10,000 8 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 50 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 25 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 17 dialect per 10,000 mak 21 author per 10,000 17 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 17 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 8 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 83 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 8 dialect per 10,000 so 21 author per 10,000 33 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 8 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 8 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 8 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 25 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 8 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 8 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 8 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 25 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 8 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 75 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 8 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 8 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
BEL
the 785 author per 10,000 0 dialect per 10,000 an 272 author per 10,000 0 dialect per 10,000 a 272 author per 10,000 0 dialect per 10,000 i 230 author per 10,000 0 dialect per 10,000 tae 188 author per 10,000 0 dialect per 10,000 that 178 author per 10,000 0 dialect per 10,000 o 157 author per 10,000 0 dialect per 10,000 is 147 author per 10,000 0 dialect per 10,000 €™s 147 author per 10,000 0 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 0 dialect per 10,000 on 126 author per 10,000 0 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 0 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 0 dialect per 10,000 can 105 author per 10,000 0 dialect per 10,000 this 94 author per 10,000 0 dialect per 10,000 wi 94 author per 10,000 0 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 0 dialect per 10,000 at 84 author per 10,000 0 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 0 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 0 dialect per 10,000 but 63 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 0 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 0 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 0 dialect per 10,000 in 52 author per 10,000 0 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 0 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 0 dialect per 10,000 wha 42 author per 10,000 0 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 0 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 0 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 0 dialect per 10,000 strang 31 author per 10,000 0 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 0 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 0 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 0 dialect per 10,000 monie 31 author per 10,000 0 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 0 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 0 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 0 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 0 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 0 dialect per 10,000 nor 21 author per 10,000 0 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 0 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 0 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 0 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 0 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 0 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 0 dialect per 10,000 taks 21 author per 10,000 0 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 0 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 0 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 0 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 0 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 0 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 0 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 0 dialect per 10,000 whan 10 author per 10,000 0 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 0 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 0 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 0 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 0 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 0 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
PUL
the 785 author per 10,000 79 dialect per 10,000 an 272 author per 10,000 431 dialect per 10,000 a 272 author per 10,000 390 dialect per 10,000 i 230 author per 10,000 9 dialect per 10,000 tae 188 author per 10,000 188 dialect per 10,000 that 178 author per 10,000 54 dialect per 10,000 o 157 author per 10,000 219 dialect per 10,000 is 147 author per 10,000 24 dialect per 10,000 €™s 147 author per 10,000 21 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 47 dialect per 10,000 it 126 author per 10,000 119 dialect per 10,000 on 126 author per 10,000 74 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 20 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 103 dialect per 10,000 can 105 author per 10,000 8 dialect per 10,000 this 94 author per 10,000 20 dialect per 10,000 wi 94 author per 10,000 93 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 34 dialect per 10,000 at 84 author per 10,000 54 dialect per 10,000 scotland 73 author per 10,000 4 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 51 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 25 dialect per 10,000 but 63 author per 10,000 30 dialect per 10,000 like 52 author per 10,000 21 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 18 dialect per 10,000 muckle 52 author per 10,000 4 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 6 dialect per 10,000 in 52 author per 10,000 154 dialect per 10,000 general 52 author per 10,000 1 dialect per 10,000 noo 42 author per 10,000 31 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 26 dialect per 10,000 be 42 author per 10,000 18 dialect per 10,000 wha 42 author per 10,000 14 dialect per 10,000 lik 42 author per 10,000 1 dialect per 10,000 aboot 42 author per 10,000 27 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 5 dialect per 10,000 year 42 author per 10,000 8 dialect per 10,000 ken 42 author per 10,000 1 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 9 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 5 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 13 dialect per 10,000 up 31 author per 10,000 38 dialect per 10,000 strang 31 author per 10,000 5 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 € 31 author per 10,000 7 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 45 dialect per 10,000 their 31 author per 10,000 30 dialect per 10,000 micht 31 author per 10,000 4 dialect per 10,000 monie 31 author per 10,000 1 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 34 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 11 dialect per 10,000 fowk 31 author per 10,000 13 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 3 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 wull 21 author per 10,000 9 dialect per 10,000 think 21 author per 10,000 8 dialect per 10,000 naebody 21 author per 10,000 2 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 29 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 37 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 1 dialect per 10,000 eneuch 21 author per 10,000 6 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 5 dialect per 10,000 nor 21 author per 10,000 19 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 11 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 48 dialect per 10,000 whit 21 author per 10,000 1 dialect per 10,000 agin 21 author per 10,000 3 dialect per 10,000 seem 21 author per 10,000 1 dialect per 10,000 us 21 author per 10,000 13 dialect per 10,000 progressive 21 author per 10,000 1 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 8 dialect per 10,000 mak 21 author per 10,000 14 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 6 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 4 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 1 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 4 dialect per 10,000 yer 21 author per 10,000 40 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 2 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 8 dialect per 10,000 taks 21 author per 10,000 2 dialect per 10,000 so 21 author per 10,000 6 dialect per 10,000 leuk 21 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 11 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 65 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 7 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 1 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 1 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 31 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 2 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 19 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 9 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 21 dialect per 10,000 whan 10 author per 10,000 24 dialect per 10,000 aist 10 author per 10,000 0 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 1 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 16 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 9 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 7 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 37 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 1 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 0 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 1 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 1 dialect per 10,000 wioot 10 author per 10,000 1 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
EUL
the 785 author per 10,000 219 dialect per 10,000 an 272 author per 10,000 351 dialect per 10,000 a 272 author per 10,000 283 dialect per 10,000 i 230 author per 10,000 6 dialect per 10,000 tae 188 author per 10,000 216 dialect per 10,000 that 178 author per 10,000 63 dialect per 10,000 o 157 author per 10,000 208 dialect per 10,000 is 147 author per 10,000 44 dialect per 10,000 €™s 147 author per 10,000 49 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 29 dialect per 10,000 it 126 author per 10,000 86 dialect per 10,000 on 126 author per 10,000 86 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 30 dialect per 10,000 pairty 115 author per 10,000 1 dialect per 10,000 ye 105 author per 10,000 53 dialect per 10,000 can 105 author per 10,000 11 dialect per 10,000 this 94 author per 10,000 15 dialect per 10,000 wi 94 author per 10,000 86 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 41 dialect per 10,000 at 84 author per 10,000 55 dialect per 10,000 scotland 73 author per 10,000 2 dialect per 10,000 green 73 author per 10,000 2 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 42 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 28 dialect per 10,000 but 63 author per 10,000 54 dialect per 10,000 like 52 author per 10,000 9 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 2 dialect per 10,000 muckle 52 author per 10,000 1 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 147 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 26 dialect per 10,000 €™re 42 author per 10,000 6 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 25 dialect per 10,000 be 42 author per 10,000 40 dialect per 10,000 wha 42 author per 10,000 11 dialect per 10,000 lik 42 author per 10,000 4 dialect per 10,000 aboot 42 author per 10,000 22 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 11 dialect per 10,000 year 42 author per 10,000 4 dialect per 10,000 ken 42 author per 10,000 0 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 19 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 4 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 3 dialect per 10,000 up 31 author per 10,000 49 dialect per 10,000 strang 31 author per 10,000 8 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 30 dialect per 10,000 their 31 author per 10,000 7 dialect per 10,000 micht 31 author per 10,000 13 dialect per 10,000 monie 31 author per 10,000 2 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 1 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 41 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 14 dialect per 10,000 fowk 31 author per 10,000 4 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 2 dialect per 10,000 got 21 author per 10,000 2 dialect per 10,000 wull 21 author per 10,000 18 dialect per 10,000 think 21 author per 10,000 5 dialect per 10,000 naebody 21 author per 10,000 1 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 1 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 23 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 18 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 10 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 3 dialect per 10,000 nor 21 author per 10,000 14 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 12 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 26 dialect per 10,000 whit 21 author per 10,000 0 dialect per 10,000 agin 21 author per 10,000 8 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 5 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 1 dialect per 10,000 whaur 21 author per 10,000 2 dialect per 10,000 mak 21 author per 10,000 4 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 23 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 4 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 19 dialect per 10,000 wad 21 author per 10,000 0 dialect per 10,000 twitter 21 author per 10,000 0 dialect per 10,000 sayin 21 author per 10,000 1 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 7 dialect per 10,000 taks 21 author per 10,000 4 dialect per 10,000 so 21 author per 10,000 1 dialect per 10,000 leuk 21 author per 10,000 2 dialect per 10,000 time 21 author per 10,000 5 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 34 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 4 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 1 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 11 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 5 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 14 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 8 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 1 dialect per 10,000 thaim 10 author per 10,000 26 dialect per 10,000 whan 10 author per 10,000 4 dialect per 10,000 aist 10 author per 10,000 1 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 0 dialect per 10,000 leuks 10 author per 10,000 0 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 1 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 5 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 4 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 4 dialect per 10,000 new 10 author per 10,000 18 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 38 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 0 dialect per 10,000 raison 10 author per 10,000 0 dialect per 10,000 later 10 author per 10,000 1 dialect per 10,000 sphere 10 author per 10,000 0 dialect per 10,000 d 10 author per 10,000 2 dialect per 10,000 haudin 10 author per 10,000 0 dialect per 10,000 €™etre 10 author per 10,000 0 dialect per 10,000 debate 10 author per 10,000 1 dialect per 10,000 came 10 author per 10,000 4 dialect per 10,000 identify 10 author per 10,000 0 dialect per 10,000 sumthing 10 author per 10,000 0 dialect per 10,000 spaces 10 author per 10,000 0 dialect per 10,000 wioot 10 author per 10,000 0 dialect per 10,000 openin 10 author per 10,000 0 dialect per 10,000 account 10 author per 10,000 0 dialect per 10,000
GUL
the 785 author per 10,000 26 dialect per 10,000 an 272 author per 10,000 594 dialect per 10,000 a 272 author per 10,000 292 dialect per 10,000 i 230 author per 10,000 5 dialect per 10,000 tae 188 author per 10,000 195 dialect per 10,000 that 178 author per 10,000 4 dialect per 10,000 o 157 author per 10,000 518 dialect per 10,000 is 147 author per 10,000 14 dialect per 10,000 €™s 147 author per 10,000 9 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 0 dialect per 10,000 it 126 author per 10,000 37 dialect per 10,000 on 126 author per 10,000 12 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 21 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 21 dialect per 10,000 can 105 author per 10,000 13 dialect per 10,000 this 94 author per 10,000 49 dialect per 10,000 wi 94 author per 10,000 115 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 38 dialect per 10,000 at 84 author per 10,000 42 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 23 dialect per 10,000 €“ 63 author per 10,000 0 dialect per 10,000 they 63 author per 10,000 5 dialect per 10,000 but 63 author per 10,000 5 dialect per 10,000 like 52 author per 10,000 20 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 9 dialect per 10,000 muckle 52 author per 10,000 6 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 1 dialect per 10,000 in 52 author per 10,000 140 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 4 dialect per 10,000 be 42 author per 10,000 67 dialect per 10,000 wha 42 author per 10,000 3 dialect per 10,000 lik 42 author per 10,000 1 dialect per 10,000 aboot 42 author per 10,000 11 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 0 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 6 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 5 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 6 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 9 dialect per 10,000 strang 31 author per 10,000 6 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 € 31 author per 10,000 19 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 4 dialect per 10,000 their 31 author per 10,000 1 dialect per 10,000 micht 31 author per 10,000 6 dialect per 10,000 monie 31 author per 10,000 1 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 39 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 12 dialect per 10,000 fowk 31 author per 10,000 19 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 2 dialect per 10,000 got 21 author per 10,000 4 dialect per 10,000 wull 21 author per 10,000 55 dialect per 10,000 think 21 author per 10,000 3 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 18 dialect per 10,000 respect 21 author per 10,000 1 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 19 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 0 dialect per 10,000 eneuch 21 author per 10,000 2 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 11 dialect per 10,000 nor 21 author per 10,000 9 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 1 dialect per 10,000 wey 21 author per 10,000 1 dialect per 10,000 terms 21 author per 10,000 0 dialect per 10,000 doon 21 author per 10,000 11 dialect per 10,000 whit 21 author per 10,000 6 dialect per 10,000 agin 21 author per 10,000 5 dialect per 10,000 seem 21 author per 10,000 0 dialect per 10,000 us 21 author per 10,000 4 dialect per 10,000 progressive 21 author per 10,000 0 dialect per 10,000 polls 21 author per 10,000 0 dialect per 10,000 voters 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 9 dialect per 10,000 mak 21 author per 10,000 26 dialect per 10,000 sum 21 author per 10,000 0 dialect per 10,000 jist 21 author per 10,000 6 dialect per 10,000 dinna 21 author per 10,000 0 dialect per 10,000 supporters 21 author per 10,000 0 dialect per 10,000 fair 21 author per 10,000 1 dialect per 10,000 wastminster 21 author per 10,000 0 dialect per 10,000 politics 21 author per 10,000 0 dialect per 10,000 yon 21 author per 10,000 0 dialect per 10,000 become 21 author per 10,000 0 dialect per 10,000 daein 21 author per 10,000 1 dialect per 10,000 yer 21 author per 10,000 5 dialect per 10,000 wad 21 author per 10,000 5 dialect per 10,000 twitter 21 author per 10,000 1 dialect per 10,000 sayin 21 author per 10,000 0 dialect per 10,000 activist 21 author per 10,000 0 dialect per 10,000 effecks 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 1 dialect per 10,000 taks 21 author per 10,000 9 dialect per 10,000 so 21 author per 10,000 0 dialect per 10,000 leuk 21 author per 10,000 4 dialect per 10,000 time 21 author per 10,000 4 dialect per 10,000 saicont 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 26 dialect per 10,000 gabriel 21 author per 10,000 0 dialect per 10,000 taen 10 author per 10,000 9 dialect per 10,000 sortit 10 author per 10,000 0 dialect per 10,000 wastit 10 author per 10,000 0 dialect per 10,000 lattin 10 author per 10,000 0 dialect per 10,000 lowp 10 author per 10,000 0 dialect per 10,000 pushin 10 author per 10,000 0 dialect per 10,000 lairgest 10 author per 10,000 0 dialect per 10,000 by 10 author per 10,000 1 dialect per 10,000 sairious 10 author per 10,000 0 dialect per 10,000 gains 10 author per 10,000 0 dialect per 10,000 chappin 10 author per 10,000 0 dialect per 10,000 €™d 10 author per 10,000 0 dialect per 10,000 third 10 author per 10,000 0 dialect per 10,000 doors 10 author per 10,000 0 dialect per 10,000 supportin 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 6 dialect per 10,000 official 10 author per 10,000 0 dialect per 10,000 ava 10 author per 10,000 3 dialect per 10,000 needs 10 author per 10,000 0 dialect per 10,000 hairder 10 author per 10,000 0 dialect per 10,000 pick 10 author per 10,000 0 dialect per 10,000 thaim 10 author per 10,000 19 dialect per 10,000 whan 10 author per 10,000 2 dialect per 10,000 aist 10 author per 10,000 1 dialect per 10,000 constituencies 10 author per 10,000 0 dialect per 10,000 dynamic 10 author per 10,000 0 dialect per 10,000 needin 10 author per 10,000 1 dialect per 10,000 leuks 10 author per 10,000 8 dialect per 10,000 single 10 author per 10,000 0 dialect per 10,000 weill-placed 10 author per 10,000 0 dialect per 10,000 msp 10 author per 10,000 0 dialect per 10,000 won 10 author per 10,000 0 dialect per 10,000 landscape 10 author per 10,000 0 dialect per 10,000 didna 10 author per 10,000 0 dialect per 10,000 meanin 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 4 dialect per 10,000 whaever 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 1 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 dominance 10 author per 10,000 0 dialect per 10,000 teuk 10 author per 10,000 0 dialect per 10,000 new 10 author per 10,000 4 dialect per 10,000 ane 10 author per 10,000 0 dialect per 10,000 or 10 author per 10,000 42 dialect per 10,000 historical 10 author per 10,000 0 dialect per 10,000 getting 10 author per 10,000 0 dialect per 10,000 uk 10 author per 10,000 1 dialect per 10,000 raison 10 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SYN
the 785 author per 10,000 5 dialect per 10,000 an 272 author per 10,000 452 dialect per 10,000 a 272 author per 10,000 204 dialect per 10,000 i 230 author per 10,000 1 dialect per 10,000 tae 188 author per 10,000 314 dialect per 10,000 that 178 author per 10,000 116 dialect per 10,000 o 157 author per 10,000 284 dialect per 10,000 is 147 author per 10,000 3 dialect per 10,000 €™s 147 author per 10,000 6 dialect per 10,000 snp 136 author per 10,000 0 dialect per 10,000 for 136 author per 10,000 73 dialect per 10,000 it 126 author per 10,000 13 dialect per 10,000 on 126 author per 10,000 72 dialect per 10,000 greens 115 author per 10,000 0 dialect per 10,000 vote 115 author per 10,000 0 dialect per 10,000 we 115 author per 10,000 14 dialect per 10,000 pairty 115 author per 10,000 0 dialect per 10,000 ye 105 author per 10,000 155 dialect per 10,000 can 105 author per 10,000 17 dialect per 10,000 this 94 author per 10,000 17 dialect per 10,000 wi 94 author per 10,000 71 dialect per 10,000 labour 94 author per 10,000 0 dialect per 10,000 as 94 author per 10,000 38 dialect per 10,000 at 84 author per 10,000 32 dialect per 10,000 scotland 73 author per 10,000 0 dialect per 10,000 green 73 author per 10,000 0 dialect per 10,000 list 73 author per 10,000 0 dialect per 10,000 hae 63 author per 10,000 52 dialect per 10,000 €“ 63 author per 10,000 1 dialect per 10,000 they 63 author per 10,000 2 dialect per 10,000 but 63 author per 10,000 66 dialect per 10,000 like 52 author per 10,000 11 dialect per 10,000 awready 52 author per 10,000 0 dialect per 10,000 gin 52 author per 10,000 9 dialect per 10,000 muckle 52 author per 10,000 0 dialect per 10,000 election 52 author per 10,000 0 dialect per 10,000 constituency 52 author per 10,000 0 dialect per 10,000 left 52 author per 10,000 5 dialect per 10,000 in 52 author per 10,000 35 dialect per 10,000 general 52 author per 10,000 0 dialect per 10,000 noo 42 author per 10,000 23 dialect per 10,000 €™re 42 author per 10,000 0 dialect per 10,000 opposition 42 author per 10,000 0 dialect per 10,000 sae 42 author per 10,000 31 dialect per 10,000 be 42 author per 10,000 83 dialect per 10,000 wha 42 author per 10,000 10 dialect per 10,000 lik 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 35 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 votin 42 author per 10,000 0 dialect per 10,000 €™ve 42 author per 10,000 0 dialect per 10,000 say 42 author per 10,000 17 dialect per 10,000 year 42 author per 10,000 0 dialect per 10,000 ken 42 author per 10,000 5 dialect per 10,000 holyrood 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 0 dialect per 10,000 isna 31 author per 10,000 0 dialect per 10,000 bein 31 author per 10,000 4 dialect per 10,000 could 31 author per 10,000 0 dialect per 10,000 are 31 author per 10,000 0 dialect per 10,000 up 31 author per 10,000 42 dialect per 10,000 strang 31 author per 10,000 2 dialect per 10,000 situation 31 author per 10,000 0 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 € 31 author per 10,000 0 dialect per 10,000 independence 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 43 dialect per 10,000 their 31 author per 10,000 0 dialect per 10,000 micht 31 author per 10,000 3 dialect per 10,000 monie 31 author per 10,000 5 dialect per 10,000 political 31 author per 10,000 0 dialect per 10,000 common 31 author per 10,000 0 dialect per 10,000 saets 31 author per 10,000 0 dialect per 10,000 mair 31 author per 10,000 24 dialect per 10,000 arena 31 author per 10,000 0 dialect per 10,000 richt 31 author per 10,000 20 dialect per 10,000 fowk 31 author per 10,000 54 dialect per 10,000 support 31 author per 10,000 0 dialect per 10,000 nixt 31 author per 10,000 3 dialect per 10,000 got 21 author per 10,000 9 dialect per 10,000 wull 21 author per 10,000 70 dialect per 10,000 think 21 author per 10,000 0 dialect per 10,000 naebody 21 author per 10,000 0 dialect per 10,000 gey 21 author per 10,000 0 dialect per 10,000 lunnon 21 author per 10,000 0 dialect per 10,000 pairliament 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 6 dialect per 10,000 respect 21 author per 10,000 0 dialect per 10,000 issues 21 author per 10,000 0 dialect per 10,000 pro-independence 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 12 dialect per 10,000 frackin 21 author per 10,000 0 dialect per 10,000 lookin 21 author per 10,000 0 dialect per 10,000 weill 21 author per 10,000 0 dialect per 10,000 sense 21 author per 10,000 1 dialect per 10,000 eneuch 21 author per 10,000 4 dialect per 10,000 votes 21 author per 10,000 0 dialect per 10,000 comfortable 21 author per 10,000 0 dialect per 10,000 ilka 21 author per 10,000 2 dialect per 10,000 nor 21 author per 10,000 9 dialect per 10,000 majority 21 author per 10,000 0 dialect per 10,000 awmaist 21 author per 10,000 0 dialect per 10,000 mind 21 author per 10,000 0 dialect per 10,000 wey 21 author per 10,000 0 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