A Corpus of 21st Century Scots Texts

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Durie, Nick


Total words by this author in corpus - 931
Total unique words used by this author in corpus - 439
Ratio of total words to unique words - 2.121
Top ten most common words - the, and, a, o, tae, that, for, it, €™s, anes,

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.

Central
the 763 author per 10,000 558 dialect per 10,000 and 365 author per 10,000 104 dialect per 10,000 a 365 author per 10,000 261 dialect per 10,000 o 279 author per 10,000 192 dialect per 10,000 tae 269 author per 10,000 212 dialect per 10,000 that 183 author per 10,000 109 dialect per 10,000 for 150 author per 10,000 48 dialect per 10,000 it 140 author per 10,000 119 dialect per 10,000 €™s 129 author per 10,000 35 dialect per 10,000 anes 107 author per 10,000 1 dialect per 10,000 in 97 author per 10,000 148 dialect per 10,000 or 97 author per 10,000 29 dialect per 10,000 wi 97 author per 10,000 65 dialect per 10,000 their 86 author per 10,000 18 dialect per 10,000 was 75 author per 10,000 7 dialect per 10,000 at 75 author per 10,000 58 dialect per 10,000 ower 75 author per 10,000 18 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 41 dialect per 10,000 € 64 author per 10,000 28 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 43 dialect per 10,000 is 54 author per 10,000 60 dialect per 10,000 whit 54 author per 10,000 29 dialect per 10,000 union 54 author per 10,000 1 dialect per 10,000 fae 54 author per 10,000 27 dialect per 10,000 €“ 54 author per 10,000 5 dialect per 10,000 thir 54 author per 10,000 5 dialect per 10,000 she 54 author per 10,000 56 dialect per 10,000 as 54 author per 10,000 60 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 59 dialect per 10,000 labour 54 author per 10,000 1 dialect per 10,000 fowk 43 author per 10,000 14 dialect per 10,000 had 43 author per 10,000 25 dialect per 10,000 but 43 author per 10,000 48 dialect per 10,000 €™ 43 author per 10,000 42 dialect per 10,000 sall 43 author per 10,000 0 dialect per 10,000 this 43 author per 10,000 43 dialect per 10,000 back 43 author per 10,000 20 dialect per 10,000 on 43 author per 10,000 56 dialect per 10,000 yer 43 author per 10,000 17 dialect per 10,000 thaim 43 author per 10,000 8 dialect per 10,000 new 43 author per 10,000 7 dialect per 10,000 up 32 author per 10,000 40 dialect per 10,000 hae 32 author per 10,000 22 dialect per 10,000 doon 32 author per 10,000 17 dialect per 10,000 noo 32 author per 10,000 13 dialect per 10,000 pairties 32 author per 10,000 1 dialect per 10,000 gin 32 author per 10,000 7 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 13 dialect per 10,000 see 32 author per 10,000 17 dialect per 10,000 pairty 32 author per 10,000 1 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 10 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 10 dialect per 10,000 her 32 author per 10,000 45 dialect per 10,000 by 32 author per 10,000 16 dialect per 10,000 been 32 author per 10,000 19 dialect per 10,000 auld 32 author per 10,000 13 dialect per 10,000 no 32 author per 10,000 35 dialect per 10,000 referendum 32 author per 10,000 1 dialect per 10,000 €™m 32 author per 10,000 6 dialect per 10,000 lang 32 author per 10,000 9 dialect per 10,000 we 32 author per 10,000 35 dialect per 10,000 get 32 author per 10,000 16 dialect per 10,000 €™ll 32 author per 10,000 5 dialect per 10,000 will 32 author per 10,000 11 dialect per 10,000 said 21 author per 10,000 44 dialect per 10,000 guid 21 author per 10,000 12 dialect per 10,000 an 21 author per 10,000 216 dialect per 10,000 dae 21 author per 10,000 17 dialect per 10,000 lave 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 28 dialect per 10,000 theday 21 author per 10,000 0 dialect per 10,000 thae 21 author per 10,000 5 dialect per 10,000 lee 21 author per 10,000 0 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 10 dialect per 10,000 €™d 21 author per 10,000 6 dialect per 10,000 naething 21 author per 10,000 1 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 real 21 author per 10,000 2 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 3 dialect per 10,000 has 21 author per 10,000 5 dialect per 10,000 gang 21 author per 10,000 4 dialect per 10,000 nae 21 author per 10,000 22 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 3 dialect per 10,000 mebbe 21 author per 10,000 2 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 7 dialect per 10,000 puir 21 author per 10,000 2 dialect per 10,000 oot 21 author per 10,000 39 dialect per 10,000 doesna 21 author per 10,000 0 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 1 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 27 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 4 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 2 dialect per 10,000 you 21 author per 10,000 15 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 14 dialect per 10,000 booed 11 author per 10,000 0 dialect per 10,000 inno 11 author per 10,000 0 dialect per 10,000 deid 11 author per 10,000 3 dialect per 10,000 corner 11 author per 10,000 1 dialect per 10,000 maks 11 author per 10,000 2 dialect per 10,000 simple 11 author per 10,000 1 dialect per 10,000 question 11 author per 10,000 1 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 0 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 16 dialect per 10,000 shak 11 author per 10,000 0 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 0 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 0 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 1 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 2 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 0 dialect per 10,000 media 11 author per 10,000 1 dialect per 10,000 social 11 author per 10,000 1 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 4 dialect per 10,000 winna 11 author per 10,000 1 dialect per 10,000 pit 11 author per 10,000 9 dialect per 10,000 ding 11 author per 10,000 0 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 5 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 2 dialect per 10,000 kennin 11 author per 10,000 1 dialect per 10,000 wey 11 author per 10,000 12 dialect per 10,000 richt 11 author per 10,000 13 dialect per 10,000 place 11 author per 10,000 5 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 7 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 2 dialect per 10,000 here 11 author per 10,000 12 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 2 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 1 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 0 dialect per 10,000 ay 11 author per 10,000 12 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 1 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 1 dialect per 10,000 b 11 author per 10,000 0 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 0 dialect per 10,000 umwhile 11 author per 10,000 0 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 30 dialect per 10,000 sayin 11 author per 10,000 3 dialect per 10,000 leukit 11 author per 10,000 1 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 1 dialect per 10,000 awbody 11 author per 10,000 2 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 1 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 0 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000
Doric
the 763 author per 10,000 466 dialect per 10,000 and 365 author per 10,000 43 dialect per 10,000 a 365 author per 10,000 297 dialect per 10,000 o 279 author per 10,000 183 dialect per 10,000 tae 269 author per 10,000 162 dialect per 10,000 that 183 author per 10,000 52 dialect per 10,000 for 150 author per 10,000 41 dialect per 10,000 it 140 author per 10,000 102 dialect per 10,000 €™s 129 author per 10,000 21 dialect per 10,000 anes 107 author per 10,000 1 dialect per 10,000 in 97 author per 10,000 136 dialect per 10,000 or 97 author per 10,000 24 dialect per 10,000 wi 97 author per 10,000 82 dialect per 10,000 their 86 author per 10,000 21 dialect per 10,000 was 75 author per 10,000 5 dialect per 10,000 at 75 author per 10,000 65 dialect per 10,000 ower 75 author per 10,000 28 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 0 dialect per 10,000 € 64 author per 10,000 15 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 38 dialect per 10,000 is 54 author per 10,000 44 dialect per 10,000 whit 54 author per 10,000 1 dialect per 10,000 union 54 author per 10,000 0 dialect per 10,000 fae 54 author per 10,000 27 dialect per 10,000 €“ 54 author per 10,000 7 dialect per 10,000 thir 54 author per 10,000 0 dialect per 10,000 she 54 author per 10,000 67 dialect per 10,000 as 54 author per 10,000 55 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 90 dialect per 10,000 labour 54 author per 10,000 0 dialect per 10,000 fowk 43 author per 10,000 14 dialect per 10,000 had 43 author per 10,000 3 dialect per 10,000 but 43 author per 10,000 20 dialect per 10,000 €™ 43 author per 10,000 8 dialect per 10,000 sall 43 author per 10,000 0 dialect per 10,000 this 43 author per 10,000 19 dialect per 10,000 back 43 author per 10,000 23 dialect per 10,000 on 43 author per 10,000 65 dialect per 10,000 yer 43 author per 10,000 37 dialect per 10,000 thaim 43 author per 10,000 0 dialect per 10,000 new 43 author per 10,000 6 dialect per 10,000 up 32 author per 10,000 46 dialect per 10,000 hae 32 author per 10,000 18 dialect per 10,000 doon 32 author per 10,000 36 dialect per 10,000 noo 32 author per 10,000 22 dialect per 10,000 pairties 32 author per 10,000 0 dialect per 10,000 gin 32 author per 10,000 5 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 13 dialect per 10,000 see 32 author per 10,000 22 dialect per 10,000 pairty 32 author per 10,000 1 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 9 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 15 dialect per 10,000 her 32 author per 10,000 67 dialect per 10,000 by 32 author per 10,000 9 dialect per 10,000 been 32 author per 10,000 12 dialect per 10,000 auld 32 author per 10,000 9 dialect per 10,000 no 32 author per 10,000 8 dialect per 10,000 referendum 32 author per 10,000 0 dialect per 10,000 €™m 32 author per 10,000 3 dialect per 10,000 lang 32 author per 10,000 13 dialect per 10,000 we 32 author per 10,000 20 dialect per 10,000 get 32 author per 10,000 16 dialect per 10,000 €™ll 32 author per 10,000 4 dialect per 10,000 will 32 author per 10,000 11 dialect per 10,000 said 21 author per 10,000 33 dialect per 10,000 guid 21 author per 10,000 4 dialect per 10,000 an 21 author per 10,000 310 dialect per 10,000 dae 21 author per 10,000 5 dialect per 10,000 lave 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 41 dialect per 10,000 theday 21 author per 10,000 0 dialect per 10,000 thae 21 author per 10,000 0 dialect per 10,000 lee 21 author per 10,000 1 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 2 dialect per 10,000 €™d 21 author per 10,000 11 dialect per 10,000 naething 21 author per 10,000 2 dialect per 10,000 seen 21 author per 10,000 7 dialect per 10,000 real 21 author per 10,000 2 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 5 dialect per 10,000 has 21 author per 10,000 2 dialect per 10,000 gang 21 author per 10,000 4 dialect per 10,000 nae 21 author per 10,000 49 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 2 dialect per 10,000 mebbe 21 author per 10,000 5 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 7 dialect per 10,000 puir 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 51 dialect per 10,000 doesna 21 author per 10,000 0 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 7 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 18 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 2 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 1 dialect per 10,000 you 21 author per 10,000 19 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 22 dialect per 10,000 booed 11 author per 10,000 1 dialect per 10,000 inno 11 author per 10,000 5 dialect per 10,000 deid 11 author per 10,000 3 dialect per 10,000 corner 11 author per 10,000 1 dialect per 10,000 maks 11 author per 10,000 2 dialect per 10,000 simple 11 author per 10,000 0 dialect per 10,000 question 11 author per 10,000 1 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 0 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 12 dialect per 10,000 shak 11 author per 10,000 1 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 1 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 14 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 0 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 0 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 1 dialect per 10,000 media 11 author per 10,000 0 dialect per 10,000 social 11 author per 10,000 0 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 13 dialect per 10,000 winna 11 author per 10,000 4 dialect per 10,000 pit 11 author per 10,000 9 dialect per 10,000 ding 11 author per 10,000 0 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 2 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 0 dialect per 10,000 kennin 11 author per 10,000 1 dialect per 10,000 wey 11 author per 10,000 2 dialect per 10,000 richt 11 author per 10,000 18 dialect per 10,000 place 11 author per 10,000 6 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 5 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 1 dialect per 10,000 here 11 author per 10,000 11 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 1 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 1 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 0 dialect per 10,000 ay 11 author per 10,000 7 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 1 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 1 dialect per 10,000 b 11 author per 10,000 0 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 1 dialect per 10,000 umwhile 11 author per 10,000 0 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 35 dialect per 10,000 sayin 11 author per 10,000 4 dialect per 10,000 leukit 11 author per 10,000 3 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 2 dialect per 10,000 awbody 11 author per 10,000 0 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 0 dialect per 10,000 leuk 11 author per 10,000 3 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 0 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000
Shetland
the 763 author per 10,000 20 dialect per 10,000 and 365 author per 10,000 16 dialect per 10,000 a 365 author per 10,000 279 dialect per 10,000 o 279 author per 10,000 158 dialect per 10,000 tae 269 author per 10,000 74 dialect per 10,000 that 183 author per 10,000 4 dialect per 10,000 for 150 author per 10,000 40 dialect per 10,000 it 140 author per 10,000 60 dialect per 10,000 €™s 129 author per 10,000 19 dialect per 10,000 anes 107 author per 10,000 1 dialect per 10,000 in 97 author per 10,000 97 dialect per 10,000 or 97 author per 10,000 24 dialect per 10,000 wi 97 author per 10,000 95 dialect per 10,000 their 86 author per 10,000 1 dialect per 10,000 was 75 author per 10,000 3 dialect per 10,000 at 75 author per 10,000 109 dialect per 10,000 ower 75 author per 10,000 28 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 0 dialect per 10,000 € 64 author per 10,000 21 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 2 dialect per 10,000 is 54 author per 10,000 59 dialect per 10,000 whit 54 author per 10,000 41 dialect per 10,000 union 54 author per 10,000 0 dialect per 10,000 fae 54 author per 10,000 36 dialect per 10,000 €“ 54 author per 10,000 2 dialect per 10,000 thir 54 author per 10,000 0 dialect per 10,000 she 54 author per 10,000 8 dialect per 10,000 as 54 author per 10,000 77 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 0 dialect per 10,000 labour 54 author per 10,000 0 dialect per 10,000 fowk 43 author per 10,000 0 dialect per 10,000 had 43 author per 10,000 2 dialect per 10,000 but 43 author per 10,000 29 dialect per 10,000 €™ 43 author per 10,000 21 dialect per 10,000 sall 43 author per 10,000 1 dialect per 10,000 this 43 author per 10,000 1 dialect per 10,000 back 43 author per 10,000 19 dialect per 10,000 on 43 author per 10,000 55 dialect per 10,000 yer 43 author per 10,000 0 dialect per 10,000 thaim 43 author per 10,000 0 dialect per 10,000 new 43 author per 10,000 8 dialect per 10,000 up 32 author per 10,000 45 dialect per 10,000 hae 32 author per 10,000 25 dialect per 10,000 doon 32 author per 10,000 25 dialect per 10,000 noo 32 author per 10,000 20 dialect per 10,000 pairties 32 author per 10,000 0 dialect per 10,000 gin 32 author per 10,000 0 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 14 dialect per 10,000 see 32 author per 10,000 21 dialect per 10,000 pairty 32 author per 10,000 0 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 14 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 12 dialect per 10,000 her 32 author per 10,000 69 dialect per 10,000 by 32 author per 10,000 7 dialect per 10,000 been 32 author per 10,000 18 dialect per 10,000 auld 32 author per 10,000 1 dialect per 10,000 no 32 author per 10,000 36 dialect per 10,000 referendum 32 author per 10,000 0 dialect per 10,000 €™m 32 author per 10,000 6 dialect per 10,000 lang 32 author per 10,000 11 dialect per 10,000 we 32 author per 10,000 44 dialect per 10,000 get 32 author per 10,000 7 dialect per 10,000 €™ll 32 author per 10,000 6 dialect per 10,000 will 32 author per 10,000 9 dialect per 10,000 said 21 author per 10,000 73 dialect per 10,000 guid 21 author per 10,000 15 dialect per 10,000 an 21 author per 10,000 339 dialect per 10,000 dae 21 author per 10,000 3 dialect per 10,000 lave 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 2 dialect per 10,000 theday 21 author per 10,000 0 dialect per 10,000 thae 21 author per 10,000 0 dialect per 10,000 lee 21 author per 10,000 0 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 1 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 naething 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 real 21 author per 10,000 1 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 52 dialect per 10,000 has 21 author per 10,000 3 dialect per 10,000 gang 21 author per 10,000 1 dialect per 10,000 nae 21 author per 10,000 25 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 0 dialect per 10,000 mebbe 21 author per 10,000 1 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 10 dialect per 10,000 puir 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 47 dialect per 10,000 doesna 21 author per 10,000 3 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 5 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 0 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 0 dialect per 10,000 you 21 author per 10,000 54 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 16 dialect per 10,000 booed 11 author per 10,000 0 dialect per 10,000 inno 11 author per 10,000 0 dialect per 10,000 deid 11 author per 10,000 2 dialect per 10,000 corner 11 author per 10,000 0 dialect per 10,000 maks 11 author per 10,000 3 dialect per 10,000 simple 11 author per 10,000 0 dialect per 10,000 question 11 author per 10,000 1 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 0 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 19 dialect per 10,000 shak 11 author per 10,000 0 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 0 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 20 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 0 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 0 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 1 dialect per 10,000 media 11 author per 10,000 0 dialect per 10,000 social 11 author per 10,000 0 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 winna 11 author per 10,000 1 dialect per 10,000 pit 11 author per 10,000 7 dialect per 10,000 ding 11 author per 10,000 0 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 2 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 0 dialect per 10,000 kennin 11 author per 10,000 0 dialect per 10,000 wey 11 author per 10,000 0 dialect per 10,000 richt 11 author per 10,000 14 dialect per 10,000 place 11 author per 10,000 8 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 5 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 0 dialect per 10,000 here 11 author per 10,000 12 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 0 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 0 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 0 dialect per 10,000 ay 11 author per 10,000 1 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 1 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 1 dialect per 10,000 b 11 author per 10,000 0 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 0 dialect per 10,000 umwhile 11 author per 10,000 0 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 41 dialect per 10,000 sayin 11 author per 10,000 4 dialect per 10,000 leukit 11 author per 10,000 0 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 1 dialect per 10,000 awbody 11 author per 10,000 0 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 0 dialect per 10,000 leuk 11 author per 10,000 0 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 1 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000
Orkney
the 763 author per 10,000 584 dialect per 10,000 and 365 author per 10,000 192 dialect per 10,000 a 365 author per 10,000 296 dialect per 10,000 o 279 author per 10,000 198 dialect per 10,000 tae 269 author per 10,000 222 dialect per 10,000 that 183 author per 10,000 75 dialect per 10,000 for 150 author per 10,000 24 dialect per 10,000 it 140 author per 10,000 23 dialect per 10,000 €™s 129 author per 10,000 18 dialect per 10,000 anes 107 author per 10,000 0 dialect per 10,000 in 97 author per 10,000 147 dialect per 10,000 or 97 author per 10,000 30 dialect per 10,000 wi 97 author per 10,000 47 dialect per 10,000 their 86 author per 10,000 7 dialect per 10,000 was 75 author per 10,000 2 dialect per 10,000 at 75 author per 10,000 52 dialect per 10,000 ower 75 author per 10,000 18 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 0 dialect per 10,000 € 64 author per 10,000 5 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 34 dialect per 10,000 is 54 author per 10,000 73 dialect per 10,000 whit 54 author per 10,000 30 dialect per 10,000 union 54 author per 10,000 0 dialect per 10,000 fae 54 author per 10,000 37 dialect per 10,000 €“ 54 author per 10,000 14 dialect per 10,000 thir 54 author per 10,000 30 dialect per 10,000 she 54 author per 10,000 8 dialect per 10,000 as 54 author per 10,000 49 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 17 dialect per 10,000 labour 54 author per 10,000 0 dialect per 10,000 fowk 43 author per 10,000 0 dialect per 10,000 had 43 author per 10,000 2 dialect per 10,000 but 43 author per 10,000 28 dialect per 10,000 €™ 43 author per 10,000 14 dialect per 10,000 sall 43 author per 10,000 0 dialect per 10,000 this 43 author per 10,000 35 dialect per 10,000 back 43 author per 10,000 27 dialect per 10,000 on 43 author per 10,000 73 dialect per 10,000 yer 43 author per 10,000 7 dialect per 10,000 thaim 43 author per 10,000 3 dialect per 10,000 new 43 author per 10,000 10 dialect per 10,000 up 32 author per 10,000 33 dialect per 10,000 hae 32 author per 10,000 12 dialect per 10,000 doon 32 author per 10,000 28 dialect per 10,000 noo 32 author per 10,000 27 dialect per 10,000 pairties 32 author per 10,000 0 dialect per 10,000 gin 32 author per 10,000 1 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 17 dialect per 10,000 see 32 author per 10,000 16 dialect per 10,000 pairty 32 author per 10,000 0 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 6 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 10 dialect per 10,000 her 32 author per 10,000 48 dialect per 10,000 by 32 author per 10,000 16 dialect per 10,000 been 32 author per 10,000 18 dialect per 10,000 auld 32 author per 10,000 1 dialect per 10,000 no 32 author per 10,000 59 dialect per 10,000 referendum 32 author per 10,000 0 dialect per 10,000 €™m 32 author per 10,000 4 dialect per 10,000 lang 32 author per 10,000 2 dialect per 10,000 we 32 author per 10,000 30 dialect per 10,000 get 32 author per 10,000 10 dialect per 10,000 €™ll 32 author per 10,000 2 dialect per 10,000 will 32 author per 10,000 10 dialect per 10,000 said 21 author per 10,000 16 dialect per 10,000 guid 21 author per 10,000 1 dialect per 10,000 an 21 author per 10,000 178 dialect per 10,000 dae 21 author per 10,000 9 dialect per 10,000 lave 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 31 dialect per 10,000 theday 21 author per 10,000 0 dialect per 10,000 thae 21 author per 10,000 0 dialect per 10,000 lee 21 author per 10,000 0 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 1 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 naething 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 7 dialect per 10,000 real 21 author per 10,000 1 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 1 dialect per 10,000 wir 21 author per 10,000 27 dialect per 10,000 has 21 author per 10,000 1 dialect per 10,000 gang 21 author per 10,000 1 dialect per 10,000 nae 21 author per 10,000 3 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 0 dialect per 10,000 mebbe 21 author per 10,000 1 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 2 dialect per 10,000 puir 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 51 dialect per 10,000 doesna 21 author per 10,000 0 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 1 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 1 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 0 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 0 dialect per 10,000 you 21 author per 10,000 33 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 15 dialect per 10,000 booed 11 author per 10,000 0 dialect per 10,000 inno 11 author per 10,000 0 dialect per 10,000 deid 11 author per 10,000 2 dialect per 10,000 corner 11 author per 10,000 2 dialect per 10,000 maks 11 author per 10,000 2 dialect per 10,000 simple 11 author per 10,000 0 dialect per 10,000 question 11 author per 10,000 0 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 1 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 13 dialect per 10,000 shak 11 author per 10,000 1 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 0 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 10 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 0 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 0 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 1 dialect per 10,000 media 11 author per 10,000 0 dialect per 10,000 social 11 author per 10,000 0 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 pit 11 author per 10,000 5 dialect per 10,000 ding 11 author per 10,000 0 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 1 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 0 dialect per 10,000 kennin 11 author per 10,000 0 dialect per 10,000 wey 11 author per 10,000 10 dialect per 10,000 richt 11 author per 10,000 0 dialect per 10,000 place 11 author per 10,000 4 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 1 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 0 dialect per 10,000 here 11 author per 10,000 12 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 0 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 1 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 0 dialect per 10,000 ay 11 author per 10,000 0 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 0 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 1 dialect per 10,000 b 11 author per 10,000 0 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 1 dialect per 10,000 umwhile 11 author per 10,000 0 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 27 dialect per 10,000 sayin 11 author per 10,000 0 dialect per 10,000 leukit 11 author per 10,000 0 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 0 dialect per 10,000 awbody 11 author per 10,000 0 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 0 dialect per 10,000 leuk 11 author per 10,000 2 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 0 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000
Southern
the 763 author per 10,000 484 dialect per 10,000 and 365 author per 10,000 37 dialect per 10,000 a 365 author per 10,000 254 dialect per 10,000 o 279 author per 10,000 200 dialect per 10,000 tae 269 author per 10,000 198 dialect per 10,000 that 183 author per 10,000 64 dialect per 10,000 for 150 author per 10,000 21 dialect per 10,000 it 140 author per 10,000 66 dialect per 10,000 €™s 129 author per 10,000 31 dialect per 10,000 anes 107 author per 10,000 0 dialect per 10,000 in 97 author per 10,000 118 dialect per 10,000 or 97 author per 10,000 26 dialect per 10,000 wi 97 author per 10,000 75 dialect per 10,000 their 86 author per 10,000 15 dialect per 10,000 was 75 author per 10,000 46 dialect per 10,000 at 75 author per 10,000 66 dialect per 10,000 ower 75 author per 10,000 17 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 30 dialect per 10,000 € 64 author per 10,000 12 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 35 dialect per 10,000 is 54 author per 10,000 60 dialect per 10,000 whit 54 author per 10,000 29 dialect per 10,000 union 54 author per 10,000 0 dialect per 10,000 fae 54 author per 10,000 6 dialect per 10,000 €“ 54 author per 10,000 4 dialect per 10,000 thir 54 author per 10,000 7 dialect per 10,000 she 54 author per 10,000 81 dialect per 10,000 as 54 author per 10,000 53 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 36 dialect per 10,000 labour 54 author per 10,000 1 dialect per 10,000 fowk 43 author per 10,000 5 dialect per 10,000 had 43 author per 10,000 3 dialect per 10,000 but 43 author per 10,000 40 dialect per 10,000 €™ 43 author per 10,000 17 dialect per 10,000 sall 43 author per 10,000 0 dialect per 10,000 this 43 author per 10,000 35 dialect per 10,000 back 43 author per 10,000 18 dialect per 10,000 on 43 author per 10,000 53 dialect per 10,000 yer 43 author per 10,000 20 dialect per 10,000 thaim 43 author per 10,000 8 dialect per 10,000 new 43 author per 10,000 8 dialect per 10,000 up 32 author per 10,000 40 dialect per 10,000 hae 32 author per 10,000 32 dialect per 10,000 doon 32 author per 10,000 24 dialect per 10,000 noo 32 author per 10,000 14 dialect per 10,000 pairties 32 author per 10,000 0 dialect per 10,000 gin 32 author per 10,000 8 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 11 dialect per 10,000 see 32 author per 10,000 7 dialect per 10,000 pairty 32 author per 10,000 0 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 7 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 16 dialect per 10,000 her 32 author per 10,000 25 dialect per 10,000 by 32 author per 10,000 8 dialect per 10,000 been 32 author per 10,000 10 dialect per 10,000 auld 32 author per 10,000 20 dialect per 10,000 no 32 author per 10,000 30 dialect per 10,000 referendum 32 author per 10,000 0 dialect per 10,000 €™m 32 author per 10,000 5 dialect per 10,000 lang 32 author per 10,000 13 dialect per 10,000 we 32 author per 10,000 21 dialect per 10,000 get 32 author per 10,000 11 dialect per 10,000 €™ll 32 author per 10,000 2 dialect per 10,000 will 32 author per 10,000 4 dialect per 10,000 said 21 author per 10,000 54 dialect per 10,000 guid 21 author per 10,000 11 dialect per 10,000 an 21 author per 10,000 287 dialect per 10,000 dae 21 author per 10,000 14 dialect per 10,000 lave 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 12 dialect per 10,000 theday 21 author per 10,000 0 dialect per 10,000 thae 21 author per 10,000 2 dialect per 10,000 lee 21 author per 10,000 0 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 3 dialect per 10,000 €™d 21 author per 10,000 8 dialect per 10,000 naething 21 author per 10,000 1 dialect per 10,000 seen 21 author per 10,000 6 dialect per 10,000 real 21 author per 10,000 1 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 5 dialect per 10,000 has 21 author per 10,000 2 dialect per 10,000 gang 21 author per 10,000 2 dialect per 10,000 nae 21 author per 10,000 26 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 3 dialect per 10,000 mebbe 21 author per 10,000 0 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 12 dialect per 10,000 puir 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 35 dialect per 10,000 doesna 21 author per 10,000 0 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 0 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 24 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 3 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 1 dialect per 10,000 you 21 author per 10,000 3 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 17 dialect per 10,000 booed 11 author per 10,000 0 dialect per 10,000 inno 11 author per 10,000 0 dialect per 10,000 deid 11 author per 10,000 4 dialect per 10,000 corner 11 author per 10,000 1 dialect per 10,000 maks 11 author per 10,000 2 dialect per 10,000 simple 11 author per 10,000 1 dialect per 10,000 question 11 author per 10,000 0 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 0 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 12 dialect per 10,000 shak 11 author per 10,000 0 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 0 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 0 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 1 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 1 dialect per 10,000 media 11 author per 10,000 0 dialect per 10,000 social 11 author per 10,000 1 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 4 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 pit 11 author per 10,000 4 dialect per 10,000 ding 11 author per 10,000 0 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 21 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 4 dialect per 10,000 kennin 11 author per 10,000 1 dialect per 10,000 wey 11 author per 10,000 5 dialect per 10,000 richt 11 author per 10,000 16 dialect per 10,000 place 11 author per 10,000 5 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 4 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 3 dialect per 10,000 here 11 author per 10,000 14 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 1 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 4 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 0 dialect per 10,000 ay 11 author per 10,000 10 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 0 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 0 dialect per 10,000 b 11 author per 10,000 1 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 0 dialect per 10,000 umwhile 11 author per 10,000 1 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 29 dialect per 10,000 sayin 11 author per 10,000 3 dialect per 10,000 leukit 11 author per 10,000 1 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 0 dialect per 10,000 awbody 11 author per 10,000 0 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 0 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 1 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000
Ulster
the 763 author per 10,000 296 dialect per 10,000 and 365 author per 10,000 10 dialect per 10,000 a 365 author per 10,000 284 dialect per 10,000 o 279 author per 10,000 210 dialect per 10,000 tae 269 author per 10,000 259 dialect per 10,000 that 183 author per 10,000 72 dialect per 10,000 for 150 author per 10,000 33 dialect per 10,000 it 140 author per 10,000 71 dialect per 10,000 €™s 129 author per 10,000 11 dialect per 10,000 anes 107 author per 10,000 0 dialect per 10,000 in 97 author per 10,000 120 dialect per 10,000 or 97 author per 10,000 36 dialect per 10,000 wi 97 author per 10,000 61 dialect per 10,000 their 86 author per 10,000 6 dialect per 10,000 was 75 author per 10,000 11 dialect per 10,000 at 75 author per 10,000 58 dialect per 10,000 ower 75 author per 10,000 16 dialect per 10,000 tories 64 author per 10,000 0 dialect per 10,000 aw 64 author per 10,000 1 dialect per 10,000 € 64 author per 10,000 4 dialect per 10,000 davidson 64 author per 10,000 0 dialect per 10,000 they 54 author per 10,000 26 dialect per 10,000 is 54 author per 10,000 19 dialect per 10,000 whit 54 author per 10,000 2 dialect per 10,000 union 54 author per 10,000 0 dialect per 10,000 fae 54 author per 10,000 14 dialect per 10,000 €“ 54 author per 10,000 0 dialect per 10,000 thir 54 author per 10,000 4 dialect per 10,000 she 54 author per 10,000 13 dialect per 10,000 as 54 author per 10,000 29 dialect per 10,000 democracy 54 author per 10,000 0 dialect per 10,000 ye 54 author per 10,000 79 dialect per 10,000 labour 54 author per 10,000 0 dialect per 10,000 fowk 43 author per 10,000 23 dialect per 10,000 had 43 author per 10,000 15 dialect per 10,000 but 43 author per 10,000 42 dialect per 10,000 €™ 43 author per 10,000 16 dialect per 10,000 sall 43 author per 10,000 0 dialect per 10,000 this 43 author per 10,000 28 dialect per 10,000 back 43 author per 10,000 3 dialect per 10,000 on 43 author per 10,000 54 dialect per 10,000 yer 43 author per 10,000 38 dialect per 10,000 thaim 43 author per 10,000 35 dialect per 10,000 new 43 author per 10,000 8 dialect per 10,000 up 32 author per 10,000 31 dialect per 10,000 hae 32 author per 10,000 55 dialect per 10,000 doon 32 author per 10,000 28 dialect per 10,000 noo 32 author per 10,000 23 dialect per 10,000 pairties 32 author per 10,000 0 dialect per 10,000 gin 32 author per 10,000 6 dialect per 10,000 reactionary 32 author per 10,000 0 dialect per 10,000 some 32 author per 10,000 6 dialect per 10,000 see 32 author per 10,000 16 dialect per 10,000 pairty 32 author per 10,000 0 dialect per 10,000 wasna 32 author per 10,000 0 dialect per 10,000 cawin 32 author per 10,000 0 dialect per 10,000 muckle 32 author per 10,000 2 dialect per 10,000 voters 32 author per 10,000 0 dialect per 10,000 unionists 32 author per 10,000 0 dialect per 10,000 say 32 author per 10,000 10 dialect per 10,000 her 32 author per 10,000 7 dialect per 10,000 by 32 author per 10,000 8 dialect per 10,000 been 32 author per 10,000 2 dialect per 10,000 auld 32 author per 10,000 1 dialect per 10,000 no 32 author per 10,000 22 dialect per 10,000 referendum 32 author per 10,000 0 dialect per 10,000 €™m 32 author per 10,000 1 dialect per 10,000 lang 32 author per 10,000 12 dialect per 10,000 we 32 author per 10,000 18 dialect per 10,000 get 32 author per 10,000 8 dialect per 10,000 €™ll 32 author per 10,000 2 dialect per 10,000 will 32 author per 10,000 2 dialect per 10,000 said 21 author per 10,000 29 dialect per 10,000 guid 21 author per 10,000 18 dialect per 10,000 an 21 author per 10,000 364 dialect per 10,000 dae 21 author per 10,000 24 dialect per 10,000 lave 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 9 dialect per 10,000 theday 21 author per 10,000 2 dialect per 10,000 thae 21 author per 10,000 4 dialect per 10,000 lee 21 author per 10,000 1 dialect per 10,000 soiree 21 author per 10,000 0 dialect per 10,000 scotland 21 author per 10,000 0 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 naething 21 author per 10,000 0 dialect per 10,000 seen 21 author per 10,000 4 dialect per 10,000 real 21 author per 10,000 1 dialect per 10,000 tory 21 author per 10,000 0 dialect per 10,000 coud 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 1 dialect per 10,000 has 21 author per 10,000 1 dialect per 10,000 gang 21 author per 10,000 4 dialect per 10,000 nae 21 author per 10,000 23 dialect per 10,000 unionist 21 author per 10,000 0 dialect per 10,000 dems 21 author per 10,000 0 dialect per 10,000 thegither 21 author per 10,000 4 dialect per 10,000 mebbe 21 author per 10,000 2 dialect per 10,000 nieve 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 17 dialect per 10,000 puir 21 author per 10,000 2 dialect per 10,000 oot 21 author per 10,000 51 dialect per 10,000 doesna 21 author per 10,000 0 dialect per 10,000 atweel 21 author per 10,000 0 dialect per 10,000 na 21 author per 10,000 4 dialect per 10,000 walcome 21 author per 10,000 0 dialect per 10,000 wee 21 author per 10,000 26 dialect per 10,000 stervin 21 author per 10,000 0 dialect per 10,000 braw 21 author per 10,000 0 dialect per 10,000 nats 21 author per 10,000 0 dialect per 10,000 lib 21 author per 10,000 0 dialect per 10,000 state 21 author per 10,000 0 dialect per 10,000 you 21 author per 10,000 4 dialect per 10,000 surge 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 4 dialect per 10,000 booed 11 author per 10,000 0 dialect per 10,000 inno 11 author per 10,000 0 dialect per 10,000 deid 11 author per 10,000 4 dialect per 10,000 corner 11 author per 10,000 0 dialect per 10,000 maks 11 author per 10,000 3 dialect per 10,000 simple 11 author per 10,000 1 dialect per 10,000 question 11 author per 10,000 1 dialect per 10,000 leein 11 author per 10,000 0 dialect per 10,000 poke 11 author per 10,000 0 dialect per 10,000 redistribution 11 author per 10,000 0 dialect per 10,000 unicorns 11 author per 10,000 0 dialect per 10,000 can 11 author per 10,000 14 dialect per 10,000 shak 11 author per 10,000 0 dialect per 10,000 chip 11 author per 10,000 0 dialect per 10,000 jack 11 author per 10,000 0 dialect per 10,000 solidarity 11 author per 10,000 0 dialect per 10,000 list 11 author per 10,000 0 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 elections 11 author per 10,000 0 dialect per 10,000 vote 11 author per 10,000 0 dialect per 10,000 onieplace 11 author per 10,000 0 dialect per 10,000 isnae 11 author per 10,000 3 dialect per 10,000 votes 11 author per 10,000 0 dialect per 10,000 potetaster 11 author per 10,000 0 dialect per 10,000 fore 11 author per 10,000 1 dialect per 10,000 media 11 author per 10,000 3 dialect per 10,000 social 11 author per 10,000 2 dialect per 10,000 phase 11 author per 10,000 0 dialect per 10,000 warrant 11 author per 10,000 0 dialect per 10,000 €™se 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 pit 11 author per 10,000 11 dialect per 10,000 ding 11 author per 10,000 1 dialect per 10,000 eithly 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 17 dialect per 10,000 doots 11 author per 10,000 0 dialect per 10,000 idleset 11 author per 10,000 0 dialect per 10,000 puirtith 11 author per 10,000 0 dialect per 10,000 scuggit 11 author per 10,000 0 dialect per 10,000 abuin 11 author per 10,000 0 dialect per 10,000 kennin 11 author per 10,000 2 dialect per 10,000 wey 11 author per 10,000 0 dialect per 10,000 richt 11 author per 10,000 14 dialect per 10,000 place 11 author per 10,000 7 dialect per 10,000 cruppen 11 author per 10,000 0 dialect per 10,000 bein 11 author per 10,000 4 dialect per 10,000 eerrant 11 author per 10,000 0 dialect per 10,000 aince 11 author per 10,000 0 dialect per 10,000 here 11 author per 10,000 10 dialect per 10,000 saufin 11 author per 10,000 0 dialect per 10,000 jaup 11 author per 10,000 0 dialect per 10,000 forrit 11 author per 10,000 3 dialect per 10,000 members 11 author per 10,000 0 dialect per 10,000 expectin 11 author per 10,000 0 dialect per 10,000 heids 11 author per 10,000 2 dialect per 10,000 €œtak 11 author per 10,000 0 dialect per 10,000 bis 11 author per 10,000 1 dialect per 10,000 ay 11 author per 10,000 2 dialect per 10,000 votin 11 author per 10,000 0 dialect per 10,000 fecht 11 author per 10,000 1 dialect per 10,000 €œay 11 author per 10,000 0 dialect per 10,000 bides 11 author per 10,000 1 dialect per 10,000 b 11 author per 10,000 2 dialect per 10,000 option 11 author per 10,000 0 dialect per 10,000 faith 11 author per 10,000 2 dialect per 10,000 umwhile 11 author per 10,000 0 dialect per 10,000 guidwilly 11 author per 10,000 0 dialect per 10,000 aboot 11 author per 10,000 27 dialect per 10,000 sayin 11 author per 10,000 4 dialect per 10,000 leukit 11 author per 10,000 0 dialect per 10,000 knabbie 11 author per 10,000 0 dialect per 10,000 pittin 11 author per 10,000 2 dialect per 10,000 awbody 11 author per 10,000 0 dialect per 10,000 neeborly 11 author per 10,000 0 dialect per 10,000 awricht 11 author per 10,000 0 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 taxes 11 author per 10,000 0 dialect per 10,000 beezer 11 author per 10,000 0 dialect per 10,000 schemes 11 author per 10,000 0 dialect per 10,000 forthink 11 author per 10,000 0 dialect per 10,000 evidence 11 author per 10,000 0 dialect per 10,000 wits 11 author per 10,000 0 dialect per 10,000 wauk 11 author per 10,000 0 dialect per 10,000 hinderend 11 author per 10,000 0 dialect per 10,000 chyce 11 author per 10,000 0 dialect per 10,000