A Corpus of 21st Century Scots Texts

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McClurg, Fernando


Total words by this author in corpus - 11,500
Total unique words used by this author in corpus - 2,643
Ratio of total words to unique words - 4.351
Top ten most common words - the, o, an, tae, a, that, i, is, it, for,

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.

Lallans
the 706 author per 10,000 548 dialect per 10,000 o 340 author per 10,000 183 dialect per 10,000 an 323 author per 10,000 206 dialect per 10,000 tae 264 author per 10,000 221 dialect per 10,000 a 247 author per 10,000 260 dialect per 10,000 that 177 author per 10,000 114 dialect per 10,000 i 166 author per 10,000 38 dialect per 10,000 is 115 author per 10,000 59 dialect per 10,000 it 110 author per 10,000 124 dialect per 10,000 for 98 author per 10,000 45 dialect per 10,000 €™s 97 author per 10,000 38 dialect per 10,000 as 97 author per 10,000 60 dialect per 10,000 on 85 author per 10,000 55 dialect per 10,000 this 84 author per 10,000 42 dialect per 10,000 they 73 author per 10,000 44 dialect per 10,000 we 70 author per 10,000 34 dialect per 10,000 be 70 author per 10,000 50 dialect per 10,000 wi 69 author per 10,000 62 dialect per 10,000 in 61 author per 10,000 147 dialect per 10,000 but 58 author per 10,000 47 dialect per 10,000 snp 56 author per 10,000 1 dialect per 10,000 haes 56 author per 10,000 7 dialect per 10,000 labour 55 author per 10,000 2 dialect per 10,000 €“ 49 author per 10,000 5 dialect per 10,000 noo 46 author per 10,000 13 dialect per 10,000 hae 45 author per 10,000 21 dialect per 10,000 their 45 author per 10,000 18 dialect per 10,000 aboot 44 author per 10,000 31 dialect per 10,000 whit 44 author per 10,000 29 dialect per 10,000 or 44 author per 10,000 28 dialect per 10,000 frae 43 author per 10,000 13 dialect per 10,000 mair 41 author per 10,000 18 dialect per 10,000 can 41 author per 10,000 15 dialect per 10,000 fowk 40 author per 10,000 13 dialect per 10,000 wull 40 author per 10,000 1 dialect per 10,000 scots 38 author per 10,000 31 dialect per 10,000 wis 38 author per 10,000 104 dialect per 10,000 there 37 author per 10,000 27 dialect per 10,000 at 35 author per 10,000 58 dialect per 10,000 aw 35 author per 10,000 45 dialect per 10,000 € 32 author per 10,000 33 dialect per 10,000 thaim 31 author per 10,000 8 dialect per 10,000 wad 30 author per 10,000 7 dialect per 10,000 no 30 author per 10,000 35 dialect per 10,000 nae 30 author per 10,000 19 dialect per 10,000 scotland 30 author per 10,000 10 dialect per 10,000 been 29 author per 10,000 20 dialect per 10,000 election 27 author per 10,000 1 dialect per 10,000 whan 24 author per 10,000 10 dialect per 10,000 oot 24 author per 10,000 41 dialect per 10,000 sum 23 author per 10,000 1 dialect per 10,000 are 23 author per 10,000 17 dialect per 10,000 micht 23 author per 10,000 7 dialect per 10,000 pairty 23 author per 10,000 2 dialect per 10,000 sae 22 author per 10,000 15 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 by 21 author per 10,000 16 dialect per 10,000 year 20 author per 10,000 7 dialect per 10,000 onie 20 author per 10,000 3 dialect per 10,000 lest 20 author per 10,000 1 dialect per 10,000 weill 19 author per 10,000 2 dialect per 10,000 while 19 author per 10,000 5 dialect per 10,000 ain 19 author per 10,000 10 dialect per 10,000 vote 19 author per 10,000 1 dialect per 10,000 aye 19 author per 10,000 15 dialect per 10,000 politics 18 author per 10,000 1 dialect per 10,000 haed 18 author per 10,000 5 dialect per 10,000 ane 18 author per 10,000 9 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 get 18 author per 10,000 17 dialect per 10,000 language 18 author per 10,000 8 dialect per 10,000 monie 18 author per 10,000 2 dialect per 10,000 tak 17 author per 10,000 7 dialect per 10,000 nor 17 author per 10,000 6 dialect per 10,000 up 17 author per 10,000 41 dialect per 10,000 ye 17 author per 10,000 58 dialect per 10,000 gin 17 author per 10,000 6 dialect per 10,000 referendum 17 author per 10,000 1 dialect per 10,000 wey 17 author per 10,000 12 dialect per 10,000 dae 17 author per 10,000 18 dialect per 10,000 back 16 author per 10,000 21 dialect per 10,000 €™ve 16 author per 10,000 4 dialect per 10,000 syne 16 author per 10,000 6 dialect per 10,000 say 15 author per 10,000 11 dialect per 10,000 efter 15 author per 10,000 10 dialect per 10,000 anither 15 author per 10,000 6 dialect per 10,000 jist 15 author per 10,000 24 dialect per 10,000 maist 15 author per 10,000 8 dialect per 10,000 richt 15 author per 10,000 13 dialect per 10,000 nixt 15 author per 10,000 2 dialect per 10,000 canna 15 author per 10,000 3 dialect per 10,000 were 14 author per 10,000 17 dialect per 10,000 whaur 14 author per 10,000 8 dialect per 10,000 time 14 author per 10,000 18 dialect per 10,000 muckle 14 author per 10,000 10 dialect per 10,000 twa 14 author per 10,000 9 dialect per 10,000 its 14 author per 10,000 10 dialect per 10,000 ainlie 13 author per 10,000 1 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 gaein 13 author per 10,000 0 dialect per 10,000 majority 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 14 dialect per 10,000 sic 13 author per 10,000 5 dialect per 10,000 new 13 author per 10,000 7 dialect per 10,000 agin 13 author per 10,000 2 dialect per 10,000 like 13 author per 10,000 28 dialect per 10,000 national 13 author per 10,000 2 dialect per 10,000 ither 12 author per 10,000 11 dialect per 10,000 guid 12 author per 10,000 11 dialect per 10,000 independence 12 author per 10,000 1 dialect per 10,000 his 12 author per 10,000 53 dialect per 10,000 even 12 author per 10,000 11 dialect per 10,000 - 12 author per 10,000 24 dialect per 10,000 €™ll 11 author per 10,000 5 dialect per 10,000 oor 11 author per 10,000 15 dialect per 10,000 ae 11 author per 10,000 21 dialect per 10,000 ava 11 author per 10,000 1 dialect per 10,000 isna 10 author per 10,000 2 dialect per 10,000 pairt 10 author per 10,000 4 dialect per 10,000 need 10 author per 10,000 5 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 7 dialect per 10,000 pooer 10 author per 10,000 0 dialect per 10,000 things 10 author per 10,000 6 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 1 dialect per 10,000 thir 10 author per 10,000 5 dialect per 10,000 radical 10 author per 10,000 0 dialect per 10,000 pairties 10 author per 10,000 1 dialect per 10,000 means 10 author per 10,000 2 dialect per 10,000 ma 10 author per 10,000 51 dialect per 10,000 awa 10 author per 10,000 10 dialect per 10,000 through 10 author per 10,000 7 dialect per 10,000 seen 10 author per 10,000 6 dialect per 10,000 doon 10 author per 10,000 18 dialect per 10,000 haud 10 author per 10,000 3 dialect per 10,000 tory 10 author per 10,000 0 dialect per 10,000 union 10 author per 10,000 1 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 glesca 10 author per 10,000 1 dialect per 10,000 maun 10 author per 10,000 3 dialect per 10,000 intae 10 author per 10,000 19 dialect per 10,000 think 10 author per 10,000 10 dialect per 10,000 votin 9 author per 10,000 0 dialect per 10,000 muivement 9 author per 10,000 0 dialect per 10,000 gies 9 author per 10,000 2 dialect per 10,000 fernando 9 author per 10,000 0 dialect per 10,000 greens 9 author per 10,000 0 dialect per 10,000 wha 9 author per 10,000 7 dialect per 10,000 taks 9 author per 10,000 1 dialect per 10,000 here 9 author per 10,000 12 dialect per 10,000 pairliament 9 author per 10,000 0 dialect per 10,000 electoral 9 author per 10,000 0 dialect per 10,000 seems 9 author per 10,000 2 dialect per 10,000 dinna 9 author per 10,000 4 dialect per 10,000 democracy 9 author per 10,000 1 dialect per 10,000 richts 9 author per 10,000 1 dialect per 10,000 place 9 author per 10,000 6 dialect per 10,000 poll 9 author per 10,000 0 dialect per 10,000 amang 9 author per 10,000 2 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 again 9 author per 10,000 8 dialect per 10,000 nicht 9 author per 10,000 5 dialect per 10,000 mcclurg 9 author per 10,000 0 dialect per 10,000 win 9 author per 10,000 1 dialect per 10,000 day 8 author per 10,000 13 dialect per 10,000 divide 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 kind 8 author per 10,000 3 dialect per 10,000 chynge 8 author per 10,000 1 dialect per 10,000 campaign 8 author per 10,000 1 dialect per 10,000 he 8 author per 10,000 93 dialect per 10,000 she 8 author per 10,000 63 dialect per 10,000 afore 8 author per 10,000 9 dialect per 10,000 murphy 8 author per 10,000 0 dialect per 10,000 takkin 8 author per 10,000 2 dialect per 10,000 also 8 author per 10,000 1 dialect per 10,000 aince 8 author per 10,000 2 dialect per 10,000 thae 8 author per 10,000 5 dialect per 10,000 leuk 8 author per 10,000 1 dialect per 10,000 govrenment 8 author per 10,000 0 dialect per 10,000 gemme 8 author per 10,000 1 dialect per 10,000 ahint 8 author per 10,000 2 dialect per 10,000 gie 8 author per 10,000 7 dialect per 10,000 state 8 author per 10,000 2 dialect per 10,000 us 7 author per 10,000 14 dialect per 10,000 yit 7 author per 10,000 1 dialect per 10,000 better 7 author per 10,000 5 dialect per 10,000 less 7 author per 10,000 2 dialect per 10,000 different 7 author per 10,000 3 dialect per 10,000 warkin 7 author per 10,000 1 dialect per 10,000 question 7 author per 10,000 2 dialect per 10,000 her 7 author per 10,000 48 dialect per 10,000 hoo 7 author per 10,000 3 dialect per 10,000 issues 7 author per 10,000 0 dialect per 10,000 fecht 7 author per 10,000 1 dialect per 10,000 itsel 7 author per 10,000 2 dialect per 10,000 usa 7 author per 10,000 0 dialect per 10,000 thaimsels 7 author per 10,000 0 dialect per 10,000 public 7 author per 10,000 1 dialect per 10,000
Doric
the 706 author per 10,000 525 dialect per 10,000 o 340 author per 10,000 197 dialect per 10,000 an 323 author per 10,000 318 dialect per 10,000 tae 264 author per 10,000 170 dialect per 10,000 a 247 author per 10,000 288 dialect per 10,000 that 177 author per 10,000 57 dialect per 10,000 i 166 author per 10,000 51 dialect per 10,000 is 115 author per 10,000 45 dialect per 10,000 it 110 author per 10,000 109 dialect per 10,000 for 98 author per 10,000 39 dialect per 10,000 €™s 97 author per 10,000 28 dialect per 10,000 as 97 author per 10,000 54 dialect per 10,000 on 85 author per 10,000 62 dialect per 10,000 this 84 author per 10,000 21 dialect per 10,000 they 73 author per 10,000 39 dialect per 10,000 we 70 author per 10,000 20 dialect per 10,000 be 70 author per 10,000 42 dialect per 10,000 wi 69 author per 10,000 88 dialect per 10,000 in 61 author per 10,000 134 dialect per 10,000 but 58 author per 10,000 14 dialect per 10,000 snp 56 author per 10,000 0 dialect per 10,000 haes 56 author per 10,000 0 dialect per 10,000 labour 55 author per 10,000 0 dialect per 10,000 €“ 49 author per 10,000 9 dialect per 10,000 noo 46 author per 10,000 21 dialect per 10,000 hae 45 author per 10,000 18 dialect per 10,000 their 45 author per 10,000 23 dialect per 10,000 aboot 44 author per 10,000 37 dialect per 10,000 whit 44 author per 10,000 3 dialect per 10,000 or 44 author per 10,000 23 dialect per 10,000 frae 43 author per 10,000 13 dialect per 10,000 mair 41 author per 10,000 19 dialect per 10,000 can 41 author per 10,000 12 dialect per 10,000 fowk 40 author per 10,000 16 dialect per 10,000 wull 40 author per 10,000 3 dialect per 10,000 scots 38 author per 10,000 4 dialect per 10,000 wis 38 author per 10,000 114 dialect per 10,000 there 37 author per 10,000 22 dialect per 10,000 at 35 author per 10,000 59 dialect per 10,000 aw 35 author per 10,000 0 dialect per 10,000 € 32 author per 10,000 18 dialect per 10,000 thaim 31 author per 10,000 0 dialect per 10,000 wad 30 author per 10,000 7 dialect per 10,000 no 30 author per 10,000 5 dialect per 10,000 nae 30 author per 10,000 50 dialect per 10,000 scotland 30 author per 10,000 2 dialect per 10,000 been 29 author per 10,000 12 dialect per 10,000 election 27 author per 10,000 0 dialect per 10,000 whan 24 author per 10,000 0 dialect per 10,000 oot 24 author per 10,000 53 dialect per 10,000 sum 23 author per 10,000 0 dialect per 10,000 are 23 author per 10,000 14 dialect per 10,000 micht 23 author per 10,000 6 dialect per 10,000 pairty 23 author per 10,000 1 dialect per 10,000 sae 22 author per 10,000 15 dialect per 10,000 ower 21 author per 10,000 28 dialect per 10,000 by 21 author per 10,000 7 dialect per 10,000 year 20 author per 10,000 6 dialect per 10,000 onie 20 author per 10,000 0 dialect per 10,000 lest 20 author per 10,000 0 dialect per 10,000 weill 19 author per 10,000 0 dialect per 10,000 while 19 author per 10,000 2 dialect per 10,000 ain 19 author per 10,000 9 dialect per 10,000 vote 19 author per 10,000 0 dialect per 10,000 aye 19 author per 10,000 15 dialect per 10,000 politics 18 author per 10,000 1 dialect per 10,000 haed 18 author per 10,000 0 dialect per 10,000 ane 18 author per 10,000 6 dialect per 10,000 see 18 author per 10,000 21 dialect per 10,000 get 18 author per 10,000 14 dialect per 10,000 language 18 author per 10,000 1 dialect per 10,000 monie 18 author per 10,000 0 dialect per 10,000 tak 17 author per 10,000 9 dialect per 10,000 nor 17 author per 10,000 5 dialect per 10,000 up 17 author per 10,000 49 dialect per 10,000 ye 17 author per 10,000 80 dialect per 10,000 gin 17 author per 10,000 6 dialect per 10,000 referendum 17 author per 10,000 0 dialect per 10,000 wey 17 author per 10,000 1 dialect per 10,000 dae 17 author per 10,000 4 dialect per 10,000 back 16 author per 10,000 23 dialect per 10,000 €™ve 16 author per 10,000 3 dialect per 10,000 syne 16 author per 10,000 13 dialect per 10,000 say 15 author per 10,000 12 dialect per 10,000 efter 15 author per 10,000 10 dialect per 10,000 anither 15 author per 10,000 8 dialect per 10,000 jist 15 author per 10,000 37 dialect per 10,000 maist 15 author per 10,000 4 dialect per 10,000 richt 15 author per 10,000 17 dialect per 10,000 nixt 15 author per 10,000 0 dialect per 10,000 canna 15 author per 10,000 6 dialect per 10,000 were 14 author per 10,000 13 dialect per 10,000 whaur 14 author per 10,000 0 dialect per 10,000 time 14 author per 10,000 20 dialect per 10,000 muckle 14 author per 10,000 9 dialect per 10,000 twa 14 author per 10,000 20 dialect per 10,000 its 14 author per 10,000 8 dialect per 10,000 ainlie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 gaein 13 author per 10,000 0 dialect per 10,000 majority 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 17 dialect per 10,000 sic 13 author per 10,000 4 dialect per 10,000 new 13 author per 10,000 7 dialect per 10,000 agin 13 author per 10,000 1 dialect per 10,000 like 13 author per 10,000 42 dialect per 10,000 national 13 author per 10,000 0 dialect per 10,000 ither 12 author per 10,000 8 dialect per 10,000 guid 12 author per 10,000 2 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 77 dialect per 10,000 even 12 author per 10,000 7 dialect per 10,000 - 12 author per 10,000 29 dialect per 10,000 €™ll 11 author per 10,000 4 dialect per 10,000 oor 11 author per 10,000 9 dialect per 10,000 ae 11 author per 10,000 8 dialect per 10,000 ava 11 author per 10,000 3 dialect per 10,000 isna 10 author per 10,000 0 dialect per 10,000 pairt 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 4 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 pooer 10 author per 10,000 1 dialect per 10,000 things 10 author per 10,000 6 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 0 dialect per 10,000 thir 10 author per 10,000 0 dialect per 10,000 radical 10 author per 10,000 0 dialect per 10,000 pairties 10 author per 10,000 0 dialect per 10,000 means 10 author per 10,000 0 dialect per 10,000 ma 10 author per 10,000 47 dialect per 10,000 awa 10 author per 10,000 22 dialect per 10,000 through 10 author per 10,000 2 dialect per 10,000 seen 10 author per 10,000 7 dialect per 10,000 doon 10 author per 10,000 34 dialect per 10,000 haud 10 author per 10,000 4 dialect per 10,000 tory 10 author per 10,000 0 dialect per 10,000 union 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 maun 10 author per 10,000 4 dialect per 10,000 intae 10 author per 10,000 12 dialect per 10,000 think 10 author per 10,000 11 dialect per 10,000 votin 9 author per 10,000 0 dialect per 10,000 muivement 9 author per 10,000 0 dialect per 10,000 gies 9 author per 10,000 1 dialect per 10,000 fernando 9 author per 10,000 0 dialect per 10,000 greens 9 author per 10,000 0 dialect per 10,000 wha 9 author per 10,000 1 dialect per 10,000 taks 9 author per 10,000 1 dialect per 10,000 here 9 author per 10,000 9 dialect per 10,000 pairliament 9 author per 10,000 0 dialect per 10,000 electoral 9 author per 10,000 0 dialect per 10,000 seems 9 author per 10,000 1 dialect per 10,000 dinna 9 author per 10,000 14 dialect per 10,000 democracy 9 author per 10,000 0 dialect per 10,000 richts 9 author per 10,000 0 dialect per 10,000 place 9 author per 10,000 6 dialect per 10,000 poll 9 author per 10,000 0 dialect per 10,000 amang 9 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 8 dialect per 10,000 again 9 author per 10,000 9 dialect per 10,000 nicht 9 author per 10,000 12 dialect per 10,000 mcclurg 9 author per 10,000 0 dialect per 10,000 win 9 author per 10,000 10 dialect per 10,000 day 8 author per 10,000 32 dialect per 10,000 divide 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 6 dialect per 10,000 kind 8 author per 10,000 1 dialect per 10,000 chynge 8 author per 10,000 1 dialect per 10,000 campaign 8 author per 10,000 0 dialect per 10,000 he 8 author per 10,000 104 dialect per 10,000 she 8 author per 10,000 63 dialect per 10,000 afore 8 author per 10,000 14 dialect per 10,000 murphy 8 author per 10,000 0 dialect per 10,000 takkin 8 author per 10,000 3 dialect per 10,000 also 8 author per 10,000 1 dialect per 10,000 aince 8 author per 10,000 1 dialect per 10,000 thae 8 author per 10,000 0 dialect per 10,000 leuk 8 author per 10,000 3 dialect per 10,000 govrenment 8 author per 10,000 0 dialect per 10,000 gemme 8 author per 10,000 0 dialect per 10,000 ahint 8 author per 10,000 0 dialect per 10,000 gie 8 author per 10,000 7 dialect per 10,000 state 8 author per 10,000 1 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 yit 7 author per 10,000 0 dialect per 10,000 better 7 author per 10,000 7 dialect per 10,000 less 7 author per 10,000 1 dialect per 10,000 different 7 author per 10,000 1 dialect per 10,000 warkin 7 author per 10,000 0 dialect per 10,000 question 7 author per 10,000 1 dialect per 10,000 her 7 author per 10,000 71 dialect per 10,000 hoo 7 author per 10,000 2 dialect per 10,000 issues 7 author per 10,000 0 dialect per 10,000 fecht 7 author per 10,000 1 dialect per 10,000 itsel 7 author per 10,000 1 dialect per 10,000 usa 7 author per 10,000 0 dialect per 10,000 thaimsels 7 author per 10,000 0 dialect per 10,000 public 7 author per 10,000 0 dialect per 10,000
Shetland
the 706 author per 10,000 26 dialect per 10,000 o 340 author per 10,000 146 dialect per 10,000 an 323 author per 10,000 342 dialect per 10,000 tae 264 author per 10,000 58 dialect per 10,000 a 247 author per 10,000 267 dialect per 10,000 that 177 author per 10,000 5 dialect per 10,000 i 166 author per 10,000 162 dialect per 10,000 is 115 author per 10,000 58 dialect per 10,000 it 110 author per 10,000 69 dialect per 10,000 for 98 author per 10,000 37 dialect per 10,000 €™s 97 author per 10,000 12 dialect per 10,000 as 97 author per 10,000 78 dialect per 10,000 on 85 author per 10,000 53 dialect per 10,000 this 84 author per 10,000 3 dialect per 10,000 they 73 author per 10,000 2 dialect per 10,000 we 70 author per 10,000 39 dialect per 10,000 be 70 author per 10,000 55 dialect per 10,000 wi 69 author per 10,000 94 dialect per 10,000 in 61 author per 10,000 95 dialect per 10,000 but 58 author per 10,000 29 dialect per 10,000 snp 56 author per 10,000 0 dialect per 10,000 haes 56 author per 10,000 8 dialect per 10,000 labour 55 author per 10,000 0 dialect per 10,000 €“ 49 author per 10,000 2 dialect per 10,000 noo 46 author per 10,000 20 dialect per 10,000 hae 45 author per 10,000 24 dialect per 10,000 their 45 author per 10,000 1 dialect per 10,000 aboot 44 author per 10,000 42 dialect per 10,000 whit 44 author per 10,000 41 dialect per 10,000 or 44 author per 10,000 24 dialect per 10,000 frae 43 author per 10,000 0 dialect per 10,000 mair 41 author per 10,000 17 dialect per 10,000 can 41 author per 10,000 18 dialect per 10,000 fowk 40 author per 10,000 0 dialect per 10,000 wull 40 author per 10,000 0 dialect per 10,000 scots 38 author per 10,000 2 dialect per 10,000 wis 38 author per 10,000 182 dialect per 10,000 there 37 author per 10,000 2 dialect per 10,000 at 35 author per 10,000 116 dialect per 10,000 aw 35 author per 10,000 0 dialect per 10,000 € 32 author per 10,000 3 dialect per 10,000 thaim 31 author per 10,000 0 dialect per 10,000 wad 30 author per 10,000 1 dialect per 10,000 no 30 author per 10,000 38 dialect per 10,000 nae 30 author per 10,000 26 dialect per 10,000 scotland 30 author per 10,000 1 dialect per 10,000 been 29 author per 10,000 19 dialect per 10,000 election 27 author per 10,000 0 dialect per 10,000 whan 24 author per 10,000 9 dialect per 10,000 oot 24 author per 10,000 46 dialect per 10,000 sum 23 author per 10,000 0 dialect per 10,000 are 23 author per 10,000 2 dialect per 10,000 micht 23 author per 10,000 5 dialect per 10,000 pairty 23 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 8 dialect per 10,000 ower 21 author per 10,000 28 dialect per 10,000 by 21 author per 10,000 7 dialect per 10,000 year 20 author per 10,000 7 dialect per 10,000 onie 20 author per 10,000 0 dialect per 10,000 lest 20 author per 10,000 0 dialect per 10,000 weill 19 author per 10,000 0 dialect per 10,000 while 19 author per 10,000 5 dialect per 10,000 ain 19 author per 10,000 6 dialect per 10,000 vote 19 author per 10,000 0 dialect per 10,000 aye 19 author per 10,000 14 dialect per 10,000 politics 18 author per 10,000 0 dialect per 10,000 haed 18 author per 10,000 2 dialect per 10,000 ane 18 author per 10,000 6 dialect per 10,000 see 18 author per 10,000 22 dialect per 10,000 get 18 author per 10,000 9 dialect per 10,000 language 18 author per 10,000 4 dialect per 10,000 monie 18 author per 10,000 0 dialect per 10,000 tak 17 author per 10,000 14 dialect per 10,000 nor 17 author per 10,000 3 dialect per 10,000 up 17 author per 10,000 46 dialect per 10,000 ye 17 author per 10,000 0 dialect per 10,000 gin 17 author per 10,000 0 dialect per 10,000 referendum 17 author per 10,000 0 dialect per 10,000 wey 17 author per 10,000 0 dialect per 10,000 dae 17 author per 10,000 1 dialect per 10,000 back 16 author per 10,000 20 dialect per 10,000 €™ve 16 author per 10,000 1 dialect per 10,000 syne 16 author per 10,000 1 dialect per 10,000 say 15 author per 10,000 13 dialect per 10,000 efter 15 author per 10,000 10 dialect per 10,000 anither 15 author per 10,000 0 dialect per 10,000 jist 15 author per 10,000 0 dialect per 10,000 maist 15 author per 10,000 2 dialect per 10,000 richt 15 author per 10,000 15 dialect per 10,000 nixt 15 author per 10,000 6 dialect per 10,000 canna 15 author per 10,000 9 dialect per 10,000 were 14 author per 10,000 3 dialect per 10,000 whaur 14 author per 10,000 0 dialect per 10,000 time 14 author per 10,000 23 dialect per 10,000 muckle 14 author per 10,000 15 dialect per 10,000 twa 14 author per 10,000 10 dialect per 10,000 its 14 author per 10,000 3 dialect per 10,000 ainlie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 gaein 13 author per 10,000 1 dialect per 10,000 majority 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 17 dialect per 10,000 sic 13 author per 10,000 2 dialect per 10,000 new 13 author per 10,000 8 dialect per 10,000 agin 13 author per 10,000 0 dialect per 10,000 like 13 author per 10,000 3 dialect per 10,000 national 13 author per 10,000 0 dialect per 10,000 ither 12 author per 10,000 0 dialect per 10,000 guid 12 author per 10,000 14 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 61 dialect per 10,000 even 12 author per 10,000 9 dialect per 10,000 - 12 author per 10,000 52 dialect per 10,000 €™ll 11 author per 10,000 3 dialect per 10,000 oor 11 author per 10,000 1 dialect per 10,000 ae 11 author per 10,000 1 dialect per 10,000 ava 11 author per 10,000 4 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 pairt 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 3 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 pooer 10 author per 10,000 1 dialect per 10,000 things 10 author per 10,000 8 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 0 dialect per 10,000 thir 10 author per 10,000 0 dialect per 10,000 radical 10 author per 10,000 0 dialect per 10,000 pairties 10 author per 10,000 0 dialect per 10,000 means 10 author per 10,000 2 dialect per 10,000 ma 10 author per 10,000 0 dialect per 10,000 awa 10 author per 10,000 14 dialect per 10,000 through 10 author per 10,000 0 dialect per 10,000 seen 10 author per 10,000 6 dialect per 10,000 doon 10 author per 10,000 25 dialect per 10,000 haud 10 author per 10,000 0 dialect per 10,000 tory 10 author per 10,000 0 dialect per 10,000 union 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 13 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 maun 10 author per 10,000 1 dialect per 10,000 intae 10 author per 10,000 7 dialect per 10,000 think 10 author per 10,000 1 dialect per 10,000 votin 9 author per 10,000 0 dialect per 10,000 muivement 9 author per 10,000 0 dialect per 10,000 gies 9 author per 10,000 1 dialect per 10,000 fernando 9 author per 10,000 0 dialect per 10,000 greens 9 author per 10,000 0 dialect per 10,000 wha 9 author per 10,000 5 dialect per 10,000 taks 9 author per 10,000 2 dialect per 10,000 here 9 author per 10,000 13 dialect per 10,000 pairliament 9 author per 10,000 0 dialect per 10,000 electoral 9 author per 10,000 0 dialect per 10,000 seems 9 author per 10,000 1 dialect per 10,000 dinna 9 author per 10,000 0 dialect per 10,000 democracy 9 author per 10,000 0 dialect per 10,000 richts 9 author per 10,000 0 dialect per 10,000 place 9 author per 10,000 9 dialect per 10,000 poll 9 author per 10,000 0 dialect per 10,000 amang 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 12 dialect per 10,000 again 9 author per 10,000 7 dialect per 10,000 nicht 9 author per 10,000 2 dialect per 10,000 mcclurg 9 author per 10,000 0 dialect per 10,000 win 9 author per 10,000 4 dialect per 10,000 day 8 author per 10,000 21 dialect per 10,000 divide 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 8 dialect per 10,000 kind 8 author per 10,000 5 dialect per 10,000 chynge 8 author per 10,000 0 dialect per 10,000 campaign 8 author per 10,000 0 dialect per 10,000 he 8 author per 10,000 129 dialect per 10,000 she 8 author per 10,000 5 dialect per 10,000 afore 8 author per 10,000 15 dialect per 10,000 murphy 8 author per 10,000 0 dialect per 10,000 takkin 8 author per 10,000 2 dialect per 10,000 also 8 author per 10,000 0 dialect per 10,000 aince 8 author per 10,000 0 dialect per 10,000 thae 8 author per 10,000 0 dialect per 10,000 leuk 8 author per 10,000 0 dialect per 10,000 govrenment 8 author per 10,000 0 dialect per 10,000 gemme 8 author per 10,000 0 dialect per 10,000 ahint 8 author per 10,000 4 dialect per 10,000 gie 8 author per 10,000 11 dialect per 10,000 state 8 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 0 dialect per 10,000 yit 7 author per 10,000 3 dialect per 10,000 better 7 author per 10,000 8 dialect per 10,000 less 7 author per 10,000 3 dialect per 10,000 different 7 author per 10,000 4 dialect per 10,000 warkin 7 author per 10,000 0 dialect per 10,000 question 7 author per 10,000 1 dialect per 10,000 her 7 author per 10,000 72 dialect per 10,000 hoo 7 author per 10,000 2 dialect per 10,000 issues 7 author per 10,000 0 dialect per 10,000 fecht 7 author per 10,000 0 dialect per 10,000 itsel 7 author per 10,000 1 dialect per 10,000 usa 7 author per 10,000 0 dialect per 10,000 thaimsels 7 author per 10,000 0 dialect per 10,000 public 7 author per 10,000 1 dialect per 10,000
Orkney
the 706 author per 10,000 554 dialect per 10,000 o 340 author per 10,000 194 dialect per 10,000 an 323 author per 10,000 168 dialect per 10,000 tae 264 author per 10,000 224 dialect per 10,000 a 247 author per 10,000 295 dialect per 10,000 that 177 author per 10,000 84 dialect per 10,000 i 166 author per 10,000 145 dialect per 10,000 is 115 author per 10,000 74 dialect per 10,000 it 110 author per 10,000 25 dialect per 10,000 for 98 author per 10,000 24 dialect per 10,000 €™s 97 author per 10,000 24 dialect per 10,000 as 97 author per 10,000 54 dialect per 10,000 on 85 author per 10,000 76 dialect per 10,000 this 84 author per 10,000 39 dialect per 10,000 they 73 author per 10,000 35 dialect per 10,000 we 70 author per 10,000 35 dialect per 10,000 be 70 author per 10,000 44 dialect per 10,000 wi 69 author per 10,000 60 dialect per 10,000 in 61 author per 10,000 141 dialect per 10,000 but 58 author per 10,000 35 dialect per 10,000 snp 56 author per 10,000 0 dialect per 10,000 haes 56 author per 10,000 5 dialect per 10,000 labour 55 author per 10,000 0 dialect per 10,000 €“ 49 author per 10,000 18 dialect per 10,000 noo 46 author per 10,000 26 dialect per 10,000 hae 45 author per 10,000 13 dialect per 10,000 their 45 author per 10,000 8 dialect per 10,000 aboot 44 author per 10,000 28 dialect per 10,000 whit 44 author per 10,000 32 dialect per 10,000 or 44 author per 10,000 35 dialect per 10,000 frae 43 author per 10,000 0 dialect per 10,000 mair 41 author per 10,000 0 dialect per 10,000 can 41 author per 10,000 15 dialect per 10,000 fowk 40 author per 10,000 0 dialect per 10,000 wull 40 author per 10,000 0 dialect per 10,000 scots 38 author per 10,000 9 dialect per 10,000 wis 38 author per 10,000 89 dialect per 10,000 there 37 author per 10,000 20 dialect per 10,000 at 35 author per 10,000 56 dialect per 10,000 aw 35 author per 10,000 0 dialect per 10,000 € 32 author per 10,000 7 dialect per 10,000 thaim 31 author per 10,000 3 dialect per 10,000 wad 30 author per 10,000 2 dialect per 10,000 no 30 author per 10,000 58 dialect per 10,000 nae 30 author per 10,000 3 dialect per 10,000 scotland 30 author per 10,000 1 dialect per 10,000 been 29 author per 10,000 19 dialect per 10,000 election 27 author per 10,000 0 dialect per 10,000 whan 24 author per 10,000 11 dialect per 10,000 oot 24 author per 10,000 50 dialect per 10,000 sum 23 author per 10,000 0 dialect per 10,000 are 23 author per 10,000 14 dialect per 10,000 micht 23 author per 10,000 0 dialect per 10,000 pairty 23 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 1 dialect per 10,000 ower 21 author per 10,000 19 dialect per 10,000 by 21 author per 10,000 15 dialect per 10,000 year 20 author per 10,000 7 dialect per 10,000 onie 20 author per 10,000 0 dialect per 10,000 lest 20 author per 10,000 0 dialect per 10,000 weill 19 author per 10,000 0 dialect per 10,000 while 19 author per 10,000 7 dialect per 10,000 ain 19 author per 10,000 0 dialect per 10,000 vote 19 author per 10,000 0 dialect per 10,000 aye 19 author per 10,000 10 dialect per 10,000 politics 18 author per 10,000 0 dialect per 10,000 haed 18 author per 10,000 8 dialect per 10,000 ane 18 author per 10,000 1 dialect per 10,000 see 18 author per 10,000 15 dialect per 10,000 get 18 author per 10,000 11 dialect per 10,000 language 18 author per 10,000 9 dialect per 10,000 monie 18 author per 10,000 0 dialect per 10,000 tak 17 author per 10,000 12 dialect per 10,000 nor 17 author per 10,000 1 dialect per 10,000 up 17 author per 10,000 26 dialect per 10,000 ye 17 author per 10,000 15 dialect per 10,000 gin 17 author per 10,000 1 dialect per 10,000 referendum 17 author per 10,000 0 dialect per 10,000 wey 17 author per 10,000 12 dialect per 10,000 dae 17 author per 10,000 8 dialect per 10,000 back 16 author per 10,000 25 dialect per 10,000 €™ve 16 author per 10,000 1 dialect per 10,000 syne 16 author per 10,000 0 dialect per 10,000 say 15 author per 10,000 11 dialect per 10,000 efter 15 author per 10,000 5 dialect per 10,000 anither 15 author per 10,000 10 dialect per 10,000 jist 15 author per 10,000 1 dialect per 10,000 maist 15 author per 10,000 2 dialect per 10,000 richt 15 author per 10,000 0 dialect per 10,000 nixt 15 author per 10,000 2 dialect per 10,000 canna 15 author per 10,000 4 dialect per 10,000 were 14 author per 10,000 8 dialect per 10,000 whaur 14 author per 10,000 1 dialect per 10,000 time 14 author per 10,000 18 dialect per 10,000 muckle 14 author per 10,000 8 dialect per 10,000 twa 14 author per 10,000 11 dialect per 10,000 its 14 author per 10,000 2 dialect per 10,000 ainlie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 gaein 13 author per 10,000 0 dialect per 10,000 majority 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 17 dialect per 10,000 sic 13 author per 10,000 1 dialect per 10,000 new 13 author per 10,000 10 dialect per 10,000 agin 13 author per 10,000 0 dialect per 10,000 like 13 author per 10,000 27 dialect per 10,000 national 13 author per 10,000 0 dialect per 10,000 ither 12 author per 10,000 10 dialect per 10,000 guid 12 author per 10,000 2 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 68 dialect per 10,000 even 12 author per 10,000 7 dialect per 10,000 - 12 author per 10,000 87 dialect per 10,000 €™ll 11 author per 10,000 3 dialect per 10,000 oor 11 author per 10,000 2 dialect per 10,000 ae 11 author per 10,000 1 dialect per 10,000 ava 11 author per 10,000 1 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 pairt 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 4 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 1 dialect per 10,000 pooer 10 author per 10,000 0 dialect per 10,000 things 10 author per 10,000 10 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 0 dialect per 10,000 thir 10 author per 10,000 32 dialect per 10,000 radical 10 author per 10,000 0 dialect per 10,000 pairties 10 author per 10,000 0 dialect per 10,000 means 10 author per 10,000 2 dialect per 10,000 ma 10 author per 10,000 1 dialect per 10,000 awa 10 author per 10,000 1 dialect per 10,000 through 10 author per 10,000 8 dialect per 10,000 seen 10 author per 10,000 7 dialect per 10,000 doon 10 author per 10,000 25 dialect per 10,000 haud 10 author per 10,000 0 dialect per 10,000 tory 10 author per 10,000 0 dialect per 10,000 union 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 maun 10 author per 10,000 0 dialect per 10,000 intae 10 author per 10,000 17 dialect per 10,000 think 10 author per 10,000 11 dialect per 10,000 votin 9 author per 10,000 0 dialect per 10,000 muivement 9 author per 10,000 0 dialect per 10,000 gies 9 author per 10,000 1 dialect per 10,000 fernando 9 author per 10,000 0 dialect per 10,000 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kind 8 author per 10,000 3 dialect per 10,000 chynge 8 author per 10,000 0 dialect per 10,000 campaign 8 author per 10,000 0 dialect per 10,000 he 8 author per 10,000 102 dialect per 10,000 she 8 author per 10,000 7 dialect per 10,000 afore 8 author per 10,000 12 dialect per 10,000 murphy 8 author per 10,000 0 dialect per 10,000 takkin 8 author per 10,000 0 dialect per 10,000 also 8 author per 10,000 1 dialect per 10,000 aince 8 author per 10,000 0 dialect per 10,000 thae 8 author per 10,000 0 dialect per 10,000 leuk 8 author per 10,000 3 dialect per 10,000 govrenment 8 author per 10,000 2 dialect per 10,000 gemme 8 author per 10,000 0 dialect per 10,000 ahint 8 author per 10,000 4 dialect per 10,000 gie 8 author per 10,000 3 dialect per 10,000 state 8 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 yit 7 author per 10,000 0 dialect per 10,000 better 7 author per 10,000 5 dialect per 10,000 less 7 author per 10,000 3 dialect per 10,000 different 7 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Southern
the 706 author per 10,000 463 dialect per 10,000 o 340 author per 10,000 191 dialect per 10,000 an 323 author per 10,000 303 dialect per 10,000 tae 264 author per 10,000 206 dialect per 10,000 a 247 author per 10,000 239 dialect per 10,000 that 177 author per 10,000 61 dialect per 10,000 i 166 author per 10,000 62 dialect per 10,000 is 115 author per 10,000 60 dialect per 10,000 it 110 author per 10,000 60 dialect per 10,000 for 98 author per 10,000 15 dialect per 10,000 €™s 97 author per 10,000 32 dialect per 10,000 as 97 author per 10,000 52 dialect per 10,000 on 85 author per 10,000 50 dialect per 10,000 this 84 author per 10,000 33 dialect per 10,000 they 73 author per 10,000 36 dialect per 10,000 we 70 author per 10,000 18 dialect per 10,000 be 70 author per 10,000 12 dialect per 10,000 wi 69 author per 10,000 71 dialect per 10,000 in 61 author per 10,000 111 dialect per 10,000 but 58 author per 10,000 39 dialect per 10,000 snp 56 author per 10,000 0 dialect per 10,000 haes 56 author per 10,000 4 dialect per 10,000 labour 55 author per 10,000 1 dialect per 10,000 €“ 49 author per 10,000 1 dialect per 10,000 noo 46 author per 10,000 13 dialect per 10,000 hae 45 author per 10,000 33 dialect per 10,000 their 45 author per 10,000 14 dialect per 10,000 aboot 44 author per 10,000 28 dialect per 10,000 whit 44 author per 10,000 29 dialect per 10,000 or 44 author per 10,000 25 dialect per 10,000 frae 43 author per 10,000 35 dialect per 10,000 mair 41 author per 10,000 16 dialect per 10,000 can 41 author per 10,000 12 dialect per 10,000 fowk 40 author per 10,000 3 dialect per 10,000 wull 40 author per 10,000 8 dialect per 10,000 scots 38 author per 10,000 5 dialect per 10,000 wis 38 author per 10,000 57 dialect per 10,000 there 37 author per 10,000 16 dialect per 10,000 at 35 author per 10,000 70 dialect per 10,000 aw 35 author per 10,000 33 dialect per 10,000 € 32 author per 10,000 10 dialect per 10,000 thaim 31 author per 10,000 8 dialect per 10,000 wad 30 author per 10,000 3 dialect per 10,000 no 30 author per 10,000 28 dialect per 10,000 nae 30 author per 10,000 26 dialect per 10,000 scotland 30 author per 10,000 3 dialect per 10,000 been 29 author per 10,000 9 dialect per 10,000 election 27 author per 10,000 0 dialect per 10,000 whan 24 author per 10,000 26 dialect per 10,000 oot 24 author per 10,000 34 dialect per 10,000 sum 23 author per 10,000 2 dialect per 10,000 are 23 author per 10,000 11 dialect per 10,000 micht 23 author per 10,000 7 dialect per 10,000 pairty 23 author per 10,000 1 dialect per 10,000 sae 22 author per 10,000 26 dialect per 10,000 ower 21 author per 10,000 16 dialect per 10,000 by 21 author per 10,000 7 dialect per 10,000 year 20 author per 10,000 5 dialect per 10,000 onie 20 author per 10,000 3 dialect per 10,000 lest 20 author per 10,000 1 dialect per 10,000 weill 19 author per 10,000 2 dialect per 10,000 while 19 author per 10,000 7 dialect per 10,000 ain 19 author per 10,000 10 dialect per 10,000 vote 19 author per 10,000 0 dialect per 10,000 aye 19 author per 10,000 11 dialect per 10,000 politics 18 author per 10,000 0 dialect per 10,000 haed 18 author per 10,000 1 dialect per 10,000 ane 18 author per 10,000 9 dialect per 10,000 see 18 author per 10,000 6 dialect per 10,000 get 18 author per 10,000 11 dialect per 10,000 language 18 author per 10,000 0 dialect per 10,000 monie 18 author per 10,000 3 dialect per 10,000 tak 17 author per 10,000 8 dialect per 10,000 nor 17 author per 10,000 5 dialect per 10,000 up 17 author per 10,000 41 dialect per 10,000 ye 17 author per 10,000 31 dialect per 10,000 gin 17 author per 10,000 8 dialect per 10,000 referendum 17 author per 10,000 0 dialect per 10,000 wey 17 author per 10,000 4 dialect per 10,000 dae 17 author per 10,000 13 dialect per 10,000 back 16 author per 10,000 19 dialect per 10,000 €™ve 16 author per 10,000 4 dialect per 10,000 syne 16 author per 10,000 4 dialect per 10,000 say 15 author per 10,000 17 dialect per 10,000 efter 15 author per 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per 10,000 7 dialect per 10,000 national 13 author per 10,000 1 dialect per 10,000 ither 12 author per 10,000 12 dialect per 10,000 guid 12 author per 10,000 12 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 38 dialect per 10,000 even 12 author per 10,000 6 dialect per 10,000 - 12 author per 10,000 28 dialect per 10,000 €™ll 11 author per 10,000 2 dialect per 10,000 oor 11 author per 10,000 12 dialect per 10,000 ae 11 author per 10,000 63 dialect per 10,000 ava 11 author per 10,000 1 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 pairt 10 author per 10,000 2 dialect per 10,000 need 10 author per 10,000 2 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 pooer 10 author per 10,000 0 dialect per 10,000 things 10 author per 10,000 2 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 0 dialect per 10,000 thir 10 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author per 10,000 2 dialect per 10,000 warkin 7 author per 10,000 0 dialect per 10,000 question 7 author per 10,000 0 dialect per 10,000 her 7 author per 10,000 15 dialect per 10,000 hoo 7 author per 10,000 4 dialect per 10,000 issues 7 author per 10,000 0 dialect per 10,000 fecht 7 author per 10,000 1 dialect per 10,000 itsel 7 author per 10,000 3 dialect per 10,000 usa 7 author per 10,000 0 dialect per 10,000 thaimsels 7 author per 10,000 0 dialect per 10,000 public 7 author per 10,000 0 dialect per 10,000
Ulster
the 706 author per 10,000 209 dialect per 10,000 o 340 author per 10,000 249 dialect per 10,000 an 323 author per 10,000 413 dialect per 10,000 tae 264 author per 10,000 252 dialect per 10,000 a 247 author per 10,000 292 dialect per 10,000 that 177 author per 10,000 81 dialect per 10,000 i 166 author per 10,000 9 dialect per 10,000 is 115 author per 10,000 21 dialect per 10,000 it 110 author per 10,000 78 dialect per 10,000 for 98 author per 10,000 40 dialect per 10,000 €™s 97 author per 10,000 14 dialect per 10,000 as 97 author per 10,000 30 dialect per 10,000 on 85 author per 10,000 66 dialect per 10,000 this 84 author per 10,000 29 dialect per 10,000 they 73 author per 10,000 24 dialect per 10,000 we 70 author per 10,000 17 dialect per 10,000 be 70 author per 10,000 47 dialect per 10,000 wi 69 author per 10,000 74 dialect per 10,000 in 61 author per 10,000 102 dialect per 10,000 but 58 author per 10,000 49 dialect per 10,000 snp 56 author per 10,000 0 dialect per 10,000 haes 56 author per 10,000 25 dialect per 10,000 labour 55 author per 10,000 0 dialect per 10,000 €“ 49 author per 10,000 0 dialect per 10,000 noo 46 author per 10,000 25 dialect per 10,000 hae 45 author per 10,000 57 dialect per 10,000 their 45 author per 10,000 6 dialect per 10,000 aboot 44 author per 10,000 30 dialect per 10,000 whit 44 author per 10,000 2 dialect per 10,000 or 44 author per 10,000 43 dialect per 10,000 frae 43 author per 10,000 36 dialect per 10,000 mair 41 author per 10,000 27 dialect per 10,000 can 41 author per 10,000 13 dialect per 10,000 fowk 40 author per 10,000 24 dialect per 10,000 wull 40 author per 10,000 36 dialect per 10,000 scots 38 author per 10,000 2 dialect per 10,000 wis 38 author per 10,000 1 dialect per 10,000 there 37 author per 10,000 6 dialect per 10,000 at 35 author per 10,000 45 dialect per 10,000 aw 35 author per 10,000 2 dialect per 10,000 € 32 author per 10,000 5 dialect per 10,000 thaim 31 author per 10,000 40 dialect per 10,000 wad 30 author per 10,000 1 dialect per 10,000 no 30 author per 10,000 25 dialect per 10,000 nae 30 author per 10,000 24 dialect per 10,000 scotland 30 author per 10,000 0 dialect per 10,000 been 29 author per 10,000 1 dialect per 10,000 election 27 author per 10,000 0 dialect per 10,000 whan 24 author per 10,000 19 dialect per 10,000 oot 24 author per 10,000 56 dialect per 10,000 sum 23 author per 10,000 2 dialect per 10,000 are 23 author per 10,000 2 dialect per 10,000 micht 23 author per 10,000 7 dialect per 10,000 pairty 23 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 28 dialect per 10,000 ower 21 author per 10,000 19 dialect per 10,000 by 21 author per 10,000 9 dialect per 10,000 year 20 author per 10,000 2 dialect per 10,000 onie 20 author per 10,000 9 dialect per 10,000 lest 20 author per 10,000 0 dialect per 10,000 weill 19 author per 10,000 0 dialect per 10,000 while 19 author per 10,000 6 dialect per 10,000 ain 19 author per 10,000 13 dialect per 10,000 vote 19 author per 10,000 0 dialect per 10,000 aye 19 author per 10,000 13 dialect per 10,000 politics 18 author per 10,000 0 dialect per 10,000 haed 18 author per 10,000 16 dialect per 10,000 ane 18 author per 10,000 0 dialect per 10,000 see 18 author per 10,000 18 dialect per 10,000 get 18 author per 10,000 8 dialect per 10,000 language 18 author per 10,000 1 dialect per 10,000 monie 18 author per 10,000 3 dialect per 10,000 tak 17 author per 10,000 16 dialect per 10,000 nor 17 author per 10,000 10 dialect per 10,000 up 17 author per 10,000 36 dialect per 10,000 ye 17 author per 10,000 86 dialect per 10,000 gin 17 author per 10,000 7 dialect per 10,000 referendum 17 author per 10,000 0 dialect per 10,000 wey 17 author per 10,000 0 dialect per 10,000 dae 17 author per 10,000 27 dialect per 10,000 back 16 author per 10,000 2 dialect per 10,000 €™ve 16 author per 10,000 0 dialect per 10,000 syne 16 author per 10,000 2 dialect per 10,000 say 15 author per 10,000 12 dialect per 10,000 efter 15 author per 10,000 6 dialect per 10,000 anither 15 author per 10,000 9 dialect per 10,000 jist 15 author per 10,000 11 dialect per 10,000 maist 15 author per 10,000 6 dialect per 10,000 richt 15 author per 10,000 16 dialect per 10,000 nixt 15 author per 10,000 5 dialect per 10,000 canna 15 author per 10,000 0 dialect per 10,000 were 14 author per 10,000 4 dialect per 10,000 whaur 14 author per 10,000 2 dialect per 10,000 time 14 author per 10,000 14 dialect per 10,000 muckle 14 author per 10,000 2 dialect per 10,000 twa 14 author per 10,000 12 dialect per 10,000 its 14 author per 10,000 9 dialect per 10,000 ainlie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 4 dialect per 10,000 gaein 13 author per 10,000 1 dialect per 10,000 majority 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 3 dialect per 10,000 sic 13 author per 10,000 1 dialect per 10,000 new 13 author per 10,000 5 dialect per 10,000 agin 13 author per 10,000 8 dialect per 10,000 like 13 author per 10,000 10 dialect per 10,000 national 13 author per 10,000 0 dialect per 10,000 ither 12 author per 10,000 17 dialect per 10,000 guid 12 author per 10,000 19 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 22 dialect per 10,000 even 12 author per 10,000 4 dialect per 10,000 - 12 author per 10,000 22 dialect per 10,000 €™ll 11 author per 10,000 2 dialect per 10,000 oor 11 author per 10,000 12 dialect per 10,000 ae 11 author per 10,000 0 dialect per 10,000 ava 11 author per 10,000 6 dialect per 10,000 isna 10 author per 10,000 0 dialect per 10,000 pairt 10 author per 10,000 5 dialect per 10,000 need 10 author per 10,000 3 dialect per 10,000 syriza 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 3 dialect per 10,000 pooer 10 author per 10,000 3 dialect per 10,000 things 10 author per 10,000 4 dialect per 10,000 saets 10 author per 10,000 0 dialect per 10,000 tories 10 author per 10,000 0 dialect per 10,000 thir 10 author per 10,000 5 dialect per 10,000 radical 10 author per 10,000 0 dialect per 10,000 pairties 10 author per 10,000 0 dialect per 10,000 means 10 author per 10,000 1 dialect per 10,000 ma 10 author per 10,000 25 dialect per 10,000 awa 10 author per 10,000 19 dialect per 10,000 through 10 author per 10,000 3 dialect per 10,000 seen 10 author per 10,000 4 dialect per 10,000 doon 10 author per 10,000 33 dialect per 10,000 haud 10 author per 10,000 1 dialect per 10,000 tory 10 author per 10,000 0 dialect per 10,000 union 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 11 dialect per 10,000 glesca 10 author per 10,000 0 dialect per 10,000 maun 10 author per 10,000 8 dialect per 10,000 intae 10 author per 10,000 11 dialect per 10,000 think 10 author per 10,000 8 dialect per 10,000 votin 9 author per 10,000 0 dialect per 10,000 muivement 9 author per 10,000 0 dialect per 10,000 gies 9 author per 10,000 3 dialect per 10,000 fernando 9 author per 10,000 0 dialect per 10,000 greens 9 author per 10,000 0 dialect per 10,000 wha 9 author per 10,000 11 dialect per 10,000 taks 9 author per 10,000 3 dialect per 10,000 here 9 author per 10,000 11 dialect per 10,000 pairliament 9 author per 10,000 0 dialect per 10,000 electoral 9 author per 10,000 0 dialect per 10,000 seems 9 author per 10,000 1 dialect per 10,000 dinna 9 author per 10,000 0 dialect per 10,000 democracy 9 author per 10,000 0 dialect per 10,000 richts 9 author per 10,000 1 dialect per 10,000 place 9 author per 10,000 5 dialect per 10,000 poll 9 author per 10,000 0 dialect per 10,000 amang 9 author per 10,000 8 dialect per 10,000 first 9 author per 10,000 1 dialect per 10,000 again 9 author per 10,000 1 dialect per 10,000 nicht 9 author per 10,000 7 dialect per 10,000 mcclurg 9 author per 10,000 0 dialect per 10,000 win 9 author per 10,000 0 dialect per 10,000 day 8 author per 10,000 17 dialect per 10,000 divide 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 kind 8 author per 10,000 0 dialect per 10,000 chynge 8 author per 10,000 0 dialect per 10,000 campaign 8 author per 10,000 0 dialect per 10,000 he 8 author per 10,000 77 dialect per 10,000 she 8 author per 10,000 16 dialect per 10,000 afore 8 author per 10,000 14 dialect per 10,000 murphy 8 author per 10,000 0 dialect per 10,000 takkin 8 author per 10,000 4 dialect per 10,000 also 8 author per 10,000 0 dialect per 10,000 aince 8 author per 10,000 0 dialect per 10,000 thae 8 author per 10,000 1 dialect per 10,000 leuk 8 author per 10,000 1 dialect per 10,000 govrenment 8 author per 10,000 0 dialect per 10,000 gemme 8 author per 10,000 0 dialect per 10,000 ahint 8 author per 10,000 2 dialect per 10,000 gie 8 author per 10,000 17 dialect per 10,000 state 8 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 4 dialect per 10,000 yit 7 author per 10,000 9 dialect per 10,000 better 7 author per 10,000 2 dialect per 10,000 less 7 author per 10,000 1 dialect per 10,000 different 7 author per 10,000 1 dialect per 10,000 warkin 7 author per 10,000 1 dialect per 10,000 question 7 author per 10,000 1 dialect per 10,000 her 7 author per 10,000 8 dialect per 10,000 hoo 7 author per 10,000 11 dialect per 10,000 issues 7 author per 10,000 0 dialect per 10,000 fecht 7 author per 10,000 0 dialect per 10,000 itsel 7 author per 10,000 2 dialect per 10,000 usa 7 author per 10,000 0 dialect per 10,000 thaimsels 7 author per 10,000 0 dialect per 10,000 public 7 author per 10,000 0 dialect per 10,000