A Corpus of 21st Century Scots Texts

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Percy, Ely


Total words by this author in corpus - 72,042
Total unique words used by this author in corpus - 6,019
Ratio of total words to unique words - 11.969
Top ten most common words - an, the, ah, tae, said, a, she, wis, ma, it,

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
an 377 author per 10,000 204 dialect per 10,000 the 349 author per 10,000 567 dialect per 10,000 ah 308 author per 10,000 66 dialect per 10,000 tae 252 author per 10,000 217 dialect per 10,000 said 230 author per 10,000 35 dialect per 10,000 a 218 author per 10,000 263 dialect per 10,000 she 176 author per 10,000 53 dialect per 10,000 wis 157 author per 10,000 101 dialect per 10,000 ma 147 author per 10,000 42 dialect per 10,000 it 141 author per 10,000 124 dialect per 10,000 her 124 author per 10,000 43 dialect per 10,000 in 121 author per 10,000 149 dialect per 10,000 that 119 author per 10,000 115 dialect per 10,000 me 92 author per 10,000 36 dialect per 10,000 he 88 author per 10,000 96 dialect per 10,000 yi 78 author per 10,000 4 dialect per 10,000 cause 76 author per 10,000 2 dialect per 10,000 ae 75 author per 10,000 18 dialect per 10,000 aw 75 author per 10,000 43 dialect per 10,000 wi 73 author per 10,000 61 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 18 dialect per 10,000 but 65 author per 10,000 45 dialect per 10,000 up 62 author per 10,000 39 dialect per 10,000 at 57 author per 10,000 58 dialect per 10,000 aboot 56 author per 10,000 30 dialect per 10,000 on 56 author per 10,000 56 dialect per 10,000 jist 52 author per 10,000 22 dialect per 10,000 got 52 author per 10,000 9 dialect per 10,000 no 48 author per 10,000 35 dialect per 10,000 whit 47 author per 10,000 28 dialect per 10,000 when 47 author per 10,000 16 dialect per 10,000 pure 44 author per 10,000 2 dialect per 10,000 wur 43 author per 10,000 2 dialect per 10,000 then 43 author per 10,000 14 dialect per 10,000 oot 41 author per 10,000 40 dialect per 10,000 be 39 author per 10,000 51 dialect per 10,000 she's 37 author per 10,000 2 dialect per 10,000 we 35 author per 10,000 34 dialect per 10,000 they 35 author per 10,000 45 dialect per 10,000 if 34 author per 10,000 17 dialect per 10,000 him 33 author per 10,000 30 dialect per 10,000 his 32 author per 10,000 55 dialect per 10,000 this 32 author per 10,000 44 dialect per 10,000 you 32 author per 10,000 15 dialect per 10,000 wan 30 author per 10,000 8 dialect per 10,000 had 30 author per 10,000 26 dialect per 10,000 aye 30 author per 10,000 14 dialect per 10,000 went 30 author per 10,000 5 dialect per 10,000 da 29 author per 10,000 2 dialect per 10,000 how 29 author per 10,000 6 dialect per 10,000 yir 29 author per 10,000 3 dialect per 10,000 don't 29 author per 10,000 1 dialect per 10,000 get 29 author per 10,000 15 dialect per 10,000 it's 28 author per 10,000 16 dialect per 10,000 as 28 author per 10,000 62 dialect per 10,000 lik 28 author per 10,000 4 dialect per 10,000 school 27 author per 10,000 2 dialect per 10,000 dae 27 author per 10,000 17 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 29 dialect per 10,000 go 26 author per 10,000 5 dialect per 10,000 is 26 author per 10,000 62 dialect per 10,000 them 26 author per 10,000 18 dialect per 10,000 know 26 author per 10,000 3 dialect per 10,000 fae 25 author per 10,000 28 dialect per 10,000 think 25 author per 10,000 9 dialect per 10,000 us 25 author per 10,000 14 dialect per 10,000 been 25 author per 10,000 19 dialect per 10,000 thir 24 author per 10,000 4 dialect per 10,000 wee 24 author per 10,000 29 dialect per 10,000 even 24 author per 10,000 9 dialect per 10,000 so 24 author per 10,000 9 dialect per 10,000 right 23 author per 10,000 3 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 5 dialect per 10,000 aff 22 author per 10,000 14 dialect per 10,000 that's 22 author per 10,000 8 dialect per 10,000 big 21 author per 10,000 6 dialect per 10,000 ah'm 21 author per 10,000 5 dialect per 10,000 he's 20 author per 10,000 5 dialect per 10,000 well 20 author per 10,000 3 dialect per 10,000 never 20 author per 10,000 6 dialect per 10,000 back 19 author per 10,000 21 dialect per 10,000 intae 19 author per 10,000 19 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 - 18 author per 10,000 25 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 13 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 8 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 18 dialect per 10,000 are 18 author per 10,000 17 dialect per 10,000 though 17 author per 10,000 4 dialect per 10,000 oor 17 author per 10,000 16 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 28 dialect per 10,000 did 16 author per 10,000 8 dialect per 10,000 two 16 author per 10,000 2 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 1 dialect per 10,000 wisnae 15 author per 10,000 4 dialect per 10,000 say 15 author per 10,000 10 dialect per 10,000 ah'd 15 author per 10,000 1 dialect per 10,000 could 14 author per 10,000 9 dialect per 10,000 want 14 author per 10,000 7 dialect per 10,000 dead 14 author per 10,000 1 dialect per 10,000 can 14 author per 10,000 16 dialect per 10,000 after 14 author per 10,000 1 dialect per 10,000 gaun 14 author per 10,000 8 dialect per 10,000 kirsty 14 author per 10,000 0 dialect per 10,000 thought 14 author per 10,000 1 dialect per 10,000 wully 13 author per 10,000 0 dialect per 10,000 wid 13 author per 10,000 9 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 huv 13 author per 10,000 5 dialect per 10,000 talkin 13 author per 10,000 1 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 2 dialect per 10,000 gettin 13 author per 10,000 4 dialect per 10,000 daein 13 author per 10,000 4 dialect per 10,000 only 12 author per 10,000 5 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 4 dialect per 10,000 noo 12 author per 10,000 14 dialect per 10,000 somethin 12 author per 10,000 5 dialect per 10,000 made 12 author per 10,000 8 dialect per 10,000 still 12 author per 10,000 7 dialect per 10,000 she'd 12 author per 10,000 1 dialect per 10,000 like 12 author per 10,000 28 dialect per 10,000 away 11 author per 10,000 2 dialect per 10,000 by 11 author per 10,000 17 dialect per 10,000 roon 11 author per 10,000 2 dialect per 10,000 other 11 author per 10,000 2 dialect per 10,000 asked 11 author per 10,000 1 dialect per 10,000 cannae 11 author per 10,000 5 dialect per 10,000 always 11 author per 10,000 1 dialect per 10,000 took 11 author per 10,000 3 dialect per 10,000 pals 11 author per 10,000 1 dialect per 10,000 ah've 11 author per 10,000 3 dialect per 10,000 next 10 author per 10,000 2 dialect per 10,000 here 10 author per 10,000 12 dialect per 10,000 night 10 author per 10,000 2 dialect per 10,000 first 10 author per 10,000 9 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 6 dialect per 10,000 tryin 10 author per 10,000 3 dialect per 10,000 way 10 author per 10,000 2 dialect per 10,000 tell 10 author per 10,000 7 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 1 dialect per 10,000 s 10 author per 10,000 42 dialect per 10,000 who 9 author per 10,000 3 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 0 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 7 dialect per 10,000 ever 9 author per 10,000 3 dialect per 10,000 because 9 author per 10,000 3 dialect per 10,000 stuff 9 author per 10,000 2 dialect per 10,000 pit 9 author per 10,000 9 dialect per 10,000 couldnae 9 author per 10,000 3 dialect per 10,000 before 8 author per 10,000 2 dialect per 10,000 teacher 8 author per 10,000 1 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 same 8 author per 10,000 6 dialect per 10,000 face 8 author per 10,000 5 dialect per 10,000 again 8 author per 10,000 8 dialect per 10,000 bit 8 author per 10,000 16 dialect per 10,000 gied 8 author per 10,000 4 dialect per 10,000 any 8 author per 10,000 2 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 7 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 3 dialect per 10,000 looked 8 author per 10,000 3 dialect per 10,000 half 8 author per 10,000 1 dialect per 10,000 some 8 author per 10,000 14 dialect per 10,000 used 8 author per 10,000 2 dialect per 10,000 your 8 author per 10,000 4 dialect per 10,000 ower 8 author per 10,000 19 dialect per 10,000 heid 8 author per 10,000 10 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 5 dialect per 10,000 tried 7 author per 10,000 2 dialect per 10,000 where 7 author per 10,000 3 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 3 dialect per 10,000 hoose 7 author per 10,000 7 dialect per 10,000 hair 7 author per 10,000 2 dialect per 10,000 ah'll 7 author per 10,000 1 dialect per 10,000 through 7 author per 10,000 6 dialect per 10,000 another 7 author per 10,000 2 dialect per 10,000 home 7 author per 10,000 0 dialect per 10,000 sittin 7 author per 10,000 3 dialect per 10,000
Doric
an 377 author per 10,000 315 dialect per 10,000 the 349 author per 10,000 534 dialect per 10,000 ah 308 author per 10,000 46 dialect per 10,000 tae 252 author per 10,000 178 dialect per 10,000 said 230 author per 10,000 34 dialect per 10,000 a 218 author per 10,000 285 dialect per 10,000 she 176 author per 10,000 63 dialect per 10,000 wis 157 author per 10,000 115 dialect per 10,000 ma 147 author per 10,000 44 dialect per 10,000 it 141 author per 10,000 109 dialect per 10,000 her 124 author per 10,000 75 dialect per 10,000 in 121 author per 10,000 136 dialect per 10,000 that 119 author per 10,000 60 dialect per 10,000 me 92 author per 10,000 21 dialect per 10,000 he 88 author per 10,000 103 dialect per 10,000 yi 78 author per 10,000 1 dialect per 10,000 cause 76 author per 10,000 5 dialect per 10,000 ae 75 author per 10,000 9 dialect per 10,000 aw 75 author per 10,000 1 dialect per 10,000 wi 73 author per 10,000 88 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 21 dialect per 10,000 but 65 author per 10,000 15 dialect per 10,000 up 62 author per 10,000 48 dialect per 10,000 at 57 author per 10,000 57 dialect per 10,000 aboot 56 author per 10,000 35 dialect per 10,000 on 56 author per 10,000 65 dialect per 10,000 jist 52 author per 10,000 36 dialect per 10,000 got 52 author per 10,000 11 dialect per 10,000 no 48 author per 10,000 5 dialect per 10,000 whit 47 author per 10,000 3 dialect per 10,000 when 47 author per 10,000 2 dialect per 10,000 pure 44 author per 10,000 1 dialect per 10,000 wur 43 author per 10,000 1 dialect per 10,000 then 43 author per 10,000 8 dialect per 10,000 oot 41 author per 10,000 52 dialect per 10,000 be 39 author per 10,000 44 dialect per 10,000 she's 37 author per 10,000 3 dialect per 10,000 we 35 author per 10,000 21 dialect per 10,000 they 35 author per 10,000 40 dialect per 10,000 if 34 author per 10,000 17 dialect per 10,000 him 33 author per 10,000 38 dialect per 10,000 his 32 author per 10,000 79 dialect per 10,000 this 32 author per 10,000 22 dialect per 10,000 you 32 author per 10,000 21 dialect per 10,000 wan 30 author per 10,000 2 dialect per 10,000 had 30 author per 10,000 2 dialect per 10,000 aye 30 author per 10,000 15 dialect per 10,000 went 30 author per 10,000 4 dialect per 10,000 da 29 author per 10,000 4 dialect per 10,000 how 29 author per 10,000 1 dialect per 10,000 yir 29 author per 10,000 0 dialect per 10,000 don't 29 author per 10,000 0 dialect per 10,000 get 29 author per 10,000 14 dialect per 10,000 it's 28 author per 10,000 18 dialect per 10,000 as 28 author per 10,000 57 dialect per 10,000 lik 28 author per 10,000 2 dialect per 10,000 school 27 author per 10,000 1 dialect per 10,000 dae 27 author per 10,000 4 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 23 dialect per 10,000 go 26 author per 10,000 3 dialect per 10,000 is 26 author per 10,000 41 dialect per 10,000 them 26 author per 10,000 31 dialect per 10,000 know 26 author per 10,000 0 dialect per 10,000 fae 25 author per 10,000 29 dialect per 10,000 think 25 author per 10,000 10 dialect per 10,000 us 25 author per 10,000 6 dialect per 10,000 been 25 author per 10,000 13 dialect per 10,000 thir 24 author per 10,000 0 dialect per 10,000 wee 24 author per 10,000 19 dialect per 10,000 even 24 author per 10,000 8 dialect per 10,000 so 24 author per 10,000 12 dialect per 10,000 right 23 author per 10,000 1 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 2 dialect per 10,000 aff 22 author per 10,000 15 dialect per 10,000 that's 22 author per 10,000 1 dialect per 10,000 big 21 author per 10,000 5 dialect per 10,000 ah'm 21 author per 10,000 8 dialect per 10,000 he's 20 author per 10,000 5 dialect per 10,000 well 20 author per 10,000 2 dialect per 10,000 never 20 author per 10,000 1 dialect per 10,000 back 19 author per 10,000 23 dialect per 10,000 intae 19 author per 10,000 12 dialect per 10,000 time 19 author per 10,000 20 dialect per 10,000 - 18 author per 10,000 26 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 33 dialect per 10,000 see 18 author per 10,000 21 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 12 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 33 dialect per 10,000 are 18 author per 10,000 15 dialect per 10,000 though 17 author per 10,000 3 dialect per 10,000 oor 17 author per 10,000 9 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 23 dialect per 10,000 did 16 author per 10,000 9 dialect per 10,000 two 16 author per 10,000 1 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 1 dialect per 10,000 wisnae 15 author per 10,000 3 dialect per 10,000 say 15 author per 10,000 12 dialect per 10,000 ah'd 15 author per 10,000 2 dialect per 10,000 could 14 author per 10,000 7 dialect per 10,000 want 14 author per 10,000 1 dialect per 10,000 dead 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 after 14 author per 10,000 0 dialect per 10,000 gaun 14 author per 10,000 7 dialect per 10,000 kirsty 14 author per 10,000 1 dialect per 10,000 thought 14 author per 10,000 0 dialect per 10,000 wully 13 author per 10,000 1 dialect per 10,000 wid 13 author per 10,000 18 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 huv 13 author per 10,000 1 dialect per 10,000 talkin 13 author per 10,000 0 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 0 dialect per 10,000 gettin 13 author per 10,000 3 dialect per 10,000 daein 13 author per 10,000 1 dialect per 10,000 only 12 author per 10,000 4 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 3 dialect per 10,000 noo 12 author per 10,000 20 dialect per 10,000 somethin 12 author per 10,000 3 dialect per 10,000 made 12 author per 10,000 9 dialect per 10,000 still 12 author per 10,000 6 dialect per 10,000 she'd 12 author per 10,000 5 dialect per 10,000 like 12 author per 10,000 41 dialect per 10,000 away 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 7 dialect per 10,000 roon 11 author per 10,000 12 dialect per 10,000 other 11 author per 10,000 0 dialect per 10,000 asked 11 author per 10,000 2 dialect per 10,000 cannae 11 author per 10,000 1 dialect per 10,000 always 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 3 dialect per 10,000 pals 11 author per 10,000 1 dialect per 10,000 ah've 11 author per 10,000 2 dialect per 10,000 next 10 author per 10,000 2 dialect per 10,000 here 10 author per 10,000 9 dialect per 10,000 night 10 author per 10,000 0 dialect per 10,000 first 10 author per 10,000 8 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 12 dialect per 10,000 tryin 10 author per 10,000 2 dialect per 10,000 way 10 author per 10,000 1 dialect per 10,000 tell 10 author per 10,000 7 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 1 dialect per 10,000 s 10 author per 10,000 30 dialect per 10,000 who 9 author per 10,000 0 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 0 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 6 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 because 9 author per 10,000 2 dialect per 10,000 stuff 9 author per 10,000 2 dialect per 10,000 pit 9 author per 10,000 9 dialect per 10,000 couldnae 9 author per 10,000 1 dialect per 10,000 before 8 author per 10,000 0 dialect per 10,000 teacher 8 author per 10,000 1 dialect per 10,000 thing 8 author per 10,000 5 dialect per 10,000 same 8 author per 10,000 5 dialect per 10,000 face 8 author per 10,000 8 dialect per 10,000 again 8 author per 10,000 9 dialect per 10,000 bit 8 author per 10,000 48 dialect per 10,000 gied 8 author per 10,000 5 dialect per 10,000 any 8 author per 10,000 0 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 6 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 3 dialect per 10,000 looked 8 author per 10,000 3 dialect per 10,000 half 8 author per 10,000 2 dialect per 10,000 some 8 author per 10,000 13 dialect per 10,000 used 8 author per 10,000 2 dialect per 10,000 your 8 author per 10,000 3 dialect per 10,000 ower 8 author per 10,000 28 dialect per 10,000 heid 8 author per 10,000 11 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 4 dialect per 10,000 tried 7 author per 10,000 3 dialect per 10,000 where 7 author per 10,000 1 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 3 dialect per 10,000 hoose 7 author per 10,000 12 dialect per 10,000 hair 7 author per 10,000 3 dialect per 10,000 ah'll 7 author per 10,000 2 dialect per 10,000 through 7 author per 10,000 2 dialect per 10,000 another 7 author per 10,000 0 dialect per 10,000 home 7 author per 10,000 0 dialect per 10,000 sittin 7 author per 10,000 3 dialect per 10,000
Shetland
an 377 author per 10,000 349 dialect per 10,000 the 349 author per 10,000 23 dialect per 10,000 ah 308 author per 10,000 1 dialect per 10,000 tae 252 author per 10,000 61 dialect per 10,000 said 230 author per 10,000 94 dialect per 10,000 a 218 author per 10,000 235 dialect per 10,000 she 176 author per 10,000 3 dialect per 10,000 wis 157 author per 10,000 178 dialect per 10,000 ma 147 author per 10,000 0 dialect per 10,000 it 141 author per 10,000 59 dialect per 10,000 her 124 author per 10,000 55 dialect per 10,000 in 121 author per 10,000 94 dialect per 10,000 that 119 author per 10,000 4 dialect per 10,000 me 92 author per 10,000 51 dialect per 10,000 he 88 author per 10,000 122 dialect per 10,000 yi 78 author per 10,000 0 dialect per 10,000 cause 76 author per 10,000 0 dialect per 10,000 ae 75 author per 10,000 0 dialect per 10,000 aw 75 author per 10,000 1 dialect per 10,000 wi 73 author per 10,000 92 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 10 dialect per 10,000 but 65 author per 10,000 36 dialect per 10,000 up 62 author per 10,000 42 dialect per 10,000 at 57 author per 10,000 121 dialect per 10,000 aboot 56 author per 10,000 43 dialect per 10,000 on 56 author per 10,000 52 dialect per 10,000 jist 52 author per 10,000 0 dialect per 10,000 got 52 author per 10,000 7 dialect per 10,000 no 48 author per 10,000 37 dialect per 10,000 whit 47 author per 10,000 56 dialect per 10,000 when 47 author per 10,000 3 dialect per 10,000 pure 44 author per 10,000 0 dialect per 10,000 wur 43 author per 10,000 0 dialect per 10,000 then 43 author per 10,000 1 dialect per 10,000 oot 41 author per 10,000 46 dialect per 10,000 be 39 author per 10,000 60 dialect per 10,000 she's 37 author per 10,000 0 dialect per 10,000 we 35 author per 10,000 38 dialect per 10,000 they 35 author per 10,000 1 dialect per 10,000 if 34 author per 10,000 31 dialect per 10,000 him 33 author per 10,000 57 dialect per 10,000 his 32 author per 10,000 61 dialect per 10,000 this 32 author per 10,000 1 dialect per 10,000 you 32 author per 10,000 57 dialect per 10,000 wan 30 author per 10,000 18 dialect per 10,000 had 30 author per 10,000 2 dialect per 10,000 aye 30 author per 10,000 12 dialect per 10,000 went 30 author per 10,000 0 dialect per 10,000 da 29 author per 10,000 560 dialect per 10,000 how 29 author per 10,000 1 dialect per 10,000 yir 29 author per 10,000 0 dialect per 10,000 don't 29 author per 10,000 1 dialect per 10,000 get 29 author per 10,000 6 dialect per 10,000 it's 28 author per 10,000 4 dialect per 10,000 as 28 author per 10,000 78 dialect per 10,000 lik 28 author per 10,000 13 dialect per 10,000 school 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 2 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 28 dialect per 10,000 go 26 author per 10,000 3 dialect per 10,000 is 26 author per 10,000 63 dialect per 10,000 them 26 author per 10,000 1 dialect per 10,000 know 26 author per 10,000 0 dialect per 10,000 fae 25 author per 10,000 32 dialect per 10,000 think 25 author per 10,000 0 dialect per 10,000 us 25 author per 10,000 0 dialect per 10,000 been 25 author per 10,000 13 dialect per 10,000 thir 24 author per 10,000 0 dialect per 10,000 wee 24 author per 10,000 0 dialect per 10,000 even 24 author per 10,000 9 dialect per 10,000 so 24 author per 10,000 32 dialect per 10,000 right 23 author per 10,000 2 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 22 dialect per 10,000 that's 22 author per 10,000 0 dialect per 10,000 big 21 author per 10,000 2 dialect per 10,000 ah'm 21 author per 10,000 2 dialect per 10,000 he's 20 author per 10,000 6 dialect per 10,000 well 20 author per 10,000 1 dialect per 10,000 never 20 author per 10,000 12 dialect per 10,000 back 19 author per 10,000 19 dialect per 10,000 intae 19 author per 10,000 6 dialect per 10,000 time 19 author per 10,000 21 dialect per 10,000 - 18 author per 10,000 66 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 22 dialect per 10,000 see 18 author per 10,000 22 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 21 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 28 dialect per 10,000 are 18 author per 10,000 2 dialect per 10,000 though 17 author per 10,000 1 dialect per 10,000 oor 17 author per 10,000 1 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 1 dialect per 10,000 did 16 author per 10,000 9 dialect per 10,000 two 16 author per 10,000 1 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 0 dialect per 10,000 wisnae 15 author per 10,000 0 dialect per 10,000 say 15 author per 10,000 15 dialect per 10,000 ah'd 15 author per 10,000 0 dialect per 10,000 could 14 author per 10,000 16 dialect per 10,000 want 14 author per 10,000 5 dialect per 10,000 dead 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 16 dialect per 10,000 after 14 author per 10,000 0 dialect per 10,000 gaun 14 author per 10,000 0 dialect per 10,000 kirsty 14 author per 10,000 0 dialect per 10,000 thought 14 author per 10,000 0 dialect per 10,000 wully 13 author per 10,000 0 dialect per 10,000 wid 13 author per 10,000 43 dialect per 10,000 really 13 author per 10,000 1 dialect per 10,000 huv 13 author per 10,000 0 dialect per 10,000 talkin 13 author per 10,000 0 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 0 dialect per 10,000 gettin 13 author per 10,000 1 dialect per 10,000 daein 13 author per 10,000 0 dialect per 10,000 only 12 author per 10,000 7 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 1 dialect per 10,000 noo 12 author per 10,000 18 dialect per 10,000 somethin 12 author per 10,000 7 dialect per 10,000 made 12 author per 10,000 2 dialect per 10,000 still 12 author per 10,000 8 dialect per 10,000 she'd 12 author per 10,000 0 dialect per 10,000 like 12 author per 10,000 2 dialect per 10,000 away 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 8 dialect per 10,000 roon 11 author per 10,000 1 dialect per 10,000 other 11 author per 10,000 1 dialect per 10,000 asked 11 author per 10,000 0 dialect per 10,000 cannae 11 author per 10,000 0 dialect per 10,000 always 11 author per 10,000 1 dialect per 10,000 took 11 author per 10,000 11 dialect per 10,000 pals 11 author per 10,000 0 dialect per 10,000 ah've 11 author per 10,000 0 dialect per 10,000 next 10 author per 10,000 1 dialect per 10,000 here 10 author per 10,000 11 dialect per 10,000 night 10 author per 10,000 2 dialect per 10,000 first 10 author per 10,000 11 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 7 dialect per 10,000 tryin 10 author per 10,000 3 dialect per 10,000 way 10 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 9 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 1 dialect per 10,000 s 10 author per 10,000 17 dialect per 10,000 who 9 author per 10,000 0 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 0 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 6 dialect per 10,000 ever 9 author per 10,000 6 dialect per 10,000 because 9 author per 10,000 1 dialect per 10,000 stuff 9 author per 10,000 1 dialect per 10,000 pit 9 author per 10,000 8 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 before 8 author per 10,000 0 dialect per 10,000 teacher 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 9 dialect per 10,000 same 8 author per 10,000 1 dialect per 10,000 face 8 author per 10,000 7 dialect per 10,000 again 8 author per 10,000 5 dialect per 10,000 bit 8 author per 10,000 32 dialect per 10,000 gied 8 author per 10,000 12 dialect per 10,000 any 8 author per 10,000 1 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 3 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 0 dialect per 10,000 looked 8 author per 10,000 1 dialect per 10,000 half 8 author per 10,000 3 dialect per 10,000 some 8 author per 10,000 14 dialect per 10,000 used 8 author per 10,000 1 dialect per 10,000 your 8 author per 10,000 12 dialect per 10,000 ower 8 author per 10,000 27 dialect per 10,000 heid 8 author per 10,000 1 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 3 dialect per 10,000 tried 7 author per 10,000 4 dialect per 10,000 where 7 author per 10,000 0 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 1 dialect per 10,000 hoose 7 author per 10,000 9 dialect per 10,000 hair 7 author per 10,000 3 dialect per 10,000 ah'll 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 0 dialect per 10,000 another 7 author per 10,000 0 dialect per 10,000 home 7 author per 10,000 0 dialect per 10,000 sittin 7 author per 10,000 3 dialect per 10,000
Orkney
an 377 author per 10,000 169 dialect per 10,000 the 349 author per 10,000 544 dialect per 10,000 ah 308 author per 10,000 2 dialect per 10,000 tae 252 author per 10,000 228 dialect per 10,000 said 230 author per 10,000 18 dialect per 10,000 a 218 author per 10,000 299 dialect per 10,000 she 176 author per 10,000 7 dialect per 10,000 wis 157 author per 10,000 92 dialect per 10,000 ma 147 author per 10,000 1 dialect per 10,000 it 141 author per 10,000 25 dialect per 10,000 her 124 author per 10,000 61 dialect per 10,000 in 121 author per 10,000 138 dialect per 10,000 that 119 author per 10,000 85 dialect per 10,000 me 92 author per 10,000 106 dialect per 10,000 he 88 author per 10,000 106 dialect per 10,000 yi 78 author per 10,000 0 dialect per 10,000 cause 76 author per 10,000 0 dialect per 10,000 ae 75 author per 10,000 1 dialect per 10,000 aw 75 author per 10,000 0 dialect per 10,000 wi 73 author per 10,000 65 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 44 dialect per 10,000 but 65 author per 10,000 36 dialect per 10,000 up 62 author per 10,000 26 dialect per 10,000 at 57 author per 10,000 57 dialect per 10,000 aboot 56 author per 10,000 30 dialect per 10,000 on 56 author per 10,000 75 dialect per 10,000 jist 52 author per 10,000 1 dialect per 10,000 got 52 author per 10,000 13 dialect per 10,000 no 48 author per 10,000 58 dialect per 10,000 whit 47 author per 10,000 34 dialect per 10,000 when 47 author per 10,000 25 dialect per 10,000 pure 44 author per 10,000 1 dialect per 10,000 wur 43 author per 10,000 7 dialect per 10,000 then 43 author per 10,000 19 dialect per 10,000 oot 41 author per 10,000 49 dialect per 10,000 be 39 author per 10,000 45 dialect per 10,000 she's 37 author per 10,000 0 dialect per 10,000 we 35 author per 10,000 34 dialect per 10,000 they 35 author per 10,000 36 dialect per 10,000 if 34 author per 10,000 16 dialect per 10,000 him 33 author per 10,000 23 dialect per 10,000 his 32 author per 10,000 68 dialect per 10,000 this 32 author per 10,000 39 dialect per 10,000 you 32 author per 10,000 31 dialect per 10,000 wan 30 author per 10,000 21 dialect per 10,000 had 30 author per 10,000 3 dialect per 10,000 aye 30 author per 10,000 11 dialect per 10,000 went 30 author per 10,000 0 dialect per 10,000 da 29 author per 10,000 0 dialect per 10,000 how 29 author per 10,000 1 dialect per 10,000 yir 29 author per 10,000 6 dialect per 10,000 don't 29 author per 10,000 3 dialect per 10,000 get 29 author per 10,000 12 dialect per 10,000 it's 28 author per 10,000 2 dialect per 10,000 as 28 author per 10,000 55 dialect per 10,000 lik 28 author per 10,000 0 dialect per 10,000 school 27 author per 10,000 1 dialect per 10,000 dae 27 author per 10,000 8 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 35 dialect per 10,000 go 26 author per 10,000 8 dialect per 10,000 is 26 author per 10,000 72 dialect per 10,000 them 26 author per 10,000 18 dialect per 10,000 know 26 author per 10,000 2 dialect per 10,000 fae 25 author per 10,000 35 dialect per 10,000 think 25 author per 10,000 11 dialect per 10,000 us 25 author per 10,000 6 dialect per 10,000 been 25 author per 10,000 19 dialect per 10,000 thir 24 author per 10,000 33 dialect per 10,000 wee 24 author per 10,000 1 dialect per 10,000 even 24 author per 10,000 7 dialect per 10,000 so 24 author per 10,000 32 dialect per 10,000 right 23 author per 10,000 15 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 10 dialect per 10,000 that's 22 author per 10,000 8 dialect per 10,000 big 21 author per 10,000 7 dialect per 10,000 ah'm 21 author per 10,000 30 dialect per 10,000 he's 20 author per 10,000 9 dialect per 10,000 well 20 author per 10,000 1 dialect per 10,000 never 20 author per 10,000 2 dialect per 10,000 back 19 author per 10,000 25 dialect per 10,000 intae 19 author per 10,000 17 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 - 18 author per 10,000 88 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 21 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 10 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 25 dialect per 10,000 are 18 author per 10,000 13 dialect per 10,000 though 17 author per 10,000 4 dialect per 10,000 oor 17 author per 10,000 2 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 20 dialect per 10,000 did 16 author per 10,000 8 dialect per 10,000 two 16 author per 10,000 2 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 1 dialect per 10,000 wisnae 15 author per 10,000 0 dialect per 10,000 say 15 author per 10,000 12 dialect per 10,000 ah'd 15 author per 10,000 0 dialect per 10,000 could 14 author per 10,000 13 dialect per 10,000 want 14 author per 10,000 5 dialect per 10,000 dead 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 16 dialect per 10,000 after 14 author per 10,000 0 dialect per 10,000 gaun 14 author per 10,000 0 dialect per 10,000 kirsty 14 author per 10,000 0 dialect per 10,000 thought 14 author per 10,000 0 dialect per 10,000 wully 13 author per 10,000 0 dialect per 10,000 wid 13 author per 10,000 21 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 huv 13 author per 10,000 0 dialect per 10,000 talkin 13 author per 10,000 0 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 0 dialect per 10,000 gettin 13 author per 10,000 0 dialect per 10,000 daein 13 author per 10,000 0 dialect per 10,000 only 12 author per 10,000 8 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 11 dialect per 10,000 noo 12 author per 10,000 26 dialect per 10,000 somethin 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 1 dialect per 10,000 still 12 author per 10,000 11 dialect per 10,000 she'd 12 author per 10,000 0 dialect per 10,000 like 12 author per 10,000 27 dialect per 10,000 away 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 14 dialect per 10,000 roon 11 author per 10,000 3 dialect per 10,000 other 11 author per 10,000 0 dialect per 10,000 asked 11 author per 10,000 2 dialect per 10,000 cannae 11 author per 10,000 0 dialect per 10,000 always 11 author per 10,000 1 dialect per 10,000 took 11 author per 10,000 2 dialect per 10,000 pals 11 author per 10,000 1 dialect per 10,000 ah've 11 author per 10,000 0 dialect per 10,000 next 10 author per 10,000 4 dialect per 10,000 here 10 author per 10,000 13 dialect per 10,000 night 10 author per 10,000 11 dialect per 10,000 first 10 author per 10,000 7 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 18 dialect per 10,000 tryin 10 author per 10,000 0 dialect per 10,000 way 10 author per 10,000 1 dialect per 10,000 tell 10 author per 10,000 7 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 8 dialect per 10,000 s 10 author per 10,000 26 dialect per 10,000 who 9 author per 10,000 2 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 0 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 10 dialect per 10,000 ever 9 author per 10,000 2 dialect per 10,000 because 9 author per 10,000 1 dialect per 10,000 stuff 9 author per 10,000 2 dialect per 10,000 pit 9 author per 10,000 5 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 before 8 author per 10,000 1 dialect per 10,000 teacher 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 8 dialect per 10,000 same 8 author per 10,000 2 dialect per 10,000 face 8 author per 10,000 7 dialect per 10,000 again 8 author per 10,000 11 dialect per 10,000 bit 8 author per 10,000 48 dialect per 10,000 gied 8 author per 10,000 3 dialect per 10,000 any 8 author per 10,000 6 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 7 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 0 dialect per 10,000 looked 8 author per 10,000 0 dialect per 10,000 half 8 author per 10,000 2 dialect per 10,000 some 8 author per 10,000 19 dialect per 10,000 used 8 author per 10,000 2 dialect per 10,000 your 8 author per 10,000 6 dialect per 10,000 ower 8 author per 10,000 18 dialect per 10,000 heid 8 author per 10,000 7 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 4 dialect per 10,000 tried 7 author per 10,000 2 dialect per 10,000 where 7 author per 10,000 0 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 3 dialect per 10,000 hoose 7 author per 10,000 11 dialect per 10,000 hair 7 author per 10,000 2 dialect per 10,000 ah'll 7 author per 10,000 8 dialect per 10,000 through 7 author per 10,000 8 dialect per 10,000 another 7 author per 10,000 0 dialect per 10,000 home 7 author per 10,000 9 dialect per 10,000 sittin 7 author per 10,000 0 dialect per 10,000
Southern
an 377 author per 10,000 302 dialect per 10,000 the 349 author per 10,000 463 dialect per 10,000 ah 308 author per 10,000 79 dialect per 10,000 tae 252 author per 10,000 206 dialect per 10,000 said 230 author per 10,000 63 dialect per 10,000 a 218 author per 10,000 239 dialect per 10,000 she 176 author per 10,000 78 dialect per 10,000 wis 157 author per 10,000 57 dialect per 10,000 ma 147 author per 10,000 56 dialect per 10,000 it 141 author per 10,000 60 dialect per 10,000 her 124 author per 10,000 15 dialect per 10,000 in 121 author per 10,000 111 dialect per 10,000 that 119 author per 10,000 61 dialect per 10,000 me 92 author per 10,000 13 dialect per 10,000 he 88 author per 10,000 15 dialect per 10,000 yi 78 author per 10,000 0 dialect per 10,000 cause 76 author per 10,000 1 dialect per 10,000 ae 75 author per 10,000 63 dialect per 10,000 aw 75 author per 10,000 33 dialect per 10,000 wi 73 author per 10,000 71 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 38 dialect per 10,000 but 65 author per 10,000 39 dialect per 10,000 up 62 author per 10,000 41 dialect per 10,000 at 57 author per 10,000 70 dialect per 10,000 aboot 56 author per 10,000 28 dialect per 10,000 on 56 author per 10,000 50 dialect per 10,000 jist 52 author per 10,000 16 dialect per 10,000 got 52 author per 10,000 10 dialect per 10,000 no 48 author per 10,000 28 dialect per 10,000 whit 47 author per 10,000 29 dialect per 10,000 when 47 author per 10,000 17 dialect per 10,000 pure 44 author per 10,000 1 dialect per 10,000 wur 43 author per 10,000 29 dialect per 10,000 then 43 author per 10,000 18 dialect per 10,000 oot 41 author per 10,000 34 dialect per 10,000 be 39 author per 10,000 13 dialect per 10,000 she's 37 author per 10,000 2 dialect per 10,000 we 35 author per 10,000 18 dialect per 10,000 they 35 author per 10,000 35 dialect per 10,000 if 34 author per 10,000 16 dialect per 10,000 him 33 author per 10,000 13 dialect per 10,000 his 32 author per 10,000 38 dialect per 10,000 this 32 author per 10,000 32 dialect per 10,000 you 32 author per 10,000 3 dialect per 10,000 wan 30 author per 10,000 1 dialect per 10,000 had 30 author per 10,000 2 dialect per 10,000 aye 30 author per 10,000 11 dialect per 10,000 went 30 author per 10,000 13 dialect per 10,000 da 29 author per 10,000 3 dialect per 10,000 how 29 author per 10,000 10 dialect per 10,000 yir 29 author per 10,000 5 dialect per 10,000 don't 29 author per 10,000 0 dialect per 10,000 get 29 author per 10,000 11 dialect per 10,000 it's 28 author per 10,000 7 dialect per 10,000 as 28 author per 10,000 52 dialect per 10,000 lik 28 author per 10,000 20 dialect per 10,000 school 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 13 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 25 dialect per 10,000 go 26 author per 10,000 1 dialect per 10,000 is 26 author per 10,000 60 dialect per 10,000 them 26 author per 10,000 4 dialect per 10,000 know 26 author per 10,000 1 dialect per 10,000 fae 25 author per 10,000 6 dialect per 10,000 think 25 author per 10,000 7 dialect per 10,000 us 25 author per 10,000 7 dialect per 10,000 been 25 author per 10,000 9 dialect per 10,000 thir 24 author per 10,000 5 dialect per 10,000 wee 24 author per 10,000 24 dialect per 10,000 even 24 author per 10,000 6 dialect per 10,000 so 24 author per 10,000 3 dialect per 10,000 right 23 author per 10,000 2 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 5 dialect per 10,000 aff 22 author per 10,000 6 dialect per 10,000 that's 22 author per 10,000 6 dialect per 10,000 big 21 author per 10,000 7 dialect per 10,000 ah'm 21 author per 10,000 10 dialect per 10,000 he's 20 author per 10,000 1 dialect per 10,000 well 20 author per 10,000 2 dialect per 10,000 never 20 author per 10,000 5 dialect per 10,000 back 19 author per 10,000 19 dialect per 10,000 intae 19 author per 10,000 13 dialect per 10,000 time 19 author per 10,000 15 dialect per 10,000 - 18 author per 10,000 28 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 16 dialect per 10,000 see 18 author per 10,000 6 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 8 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 25 dialect per 10,000 are 18 author per 10,000 11 dialect per 10,000 though 17 author per 10,000 1 dialect per 10,000 oor 17 author per 10,000 12 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 16 dialect per 10,000 did 16 author per 10,000 10 dialect per 10,000 two 16 author per 10,000 1 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 0 dialect per 10,000 wisnae 15 author per 10,000 3 dialect per 10,000 say 15 author per 10,000 17 dialect per 10,000 ah'd 15 author per 10,000 2 dialect per 10,000 could 14 author per 10,000 13 dialect per 10,000 want 14 author per 10,000 3 dialect per 10,000 dead 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 after 14 author per 10,000 1 dialect per 10,000 gaun 14 author per 10,000 13 dialect per 10,000 kirsty 14 author per 10,000 0 dialect per 10,000 thought 14 author per 10,000 0 dialect per 10,000 wully 13 author per 10,000 0 dialect per 10,000 wid 13 author per 10,000 3 dialect per 10,000 really 13 author per 10,000 1 dialect per 10,000 huv 13 author per 10,000 2 dialect per 10,000 talkin 13 author per 10,000 2 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 2 dialect per 10,000 gettin 13 author per 10,000 4 dialect per 10,000 daein 13 author per 10,000 1 dialect per 10,000 only 12 author per 10,000 7 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 4 dialect per 10,000 noo 12 author per 10,000 13 dialect per 10,000 somethin 12 author per 10,000 2 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 still 12 author per 10,000 8 dialect per 10,000 she'd 12 author per 10,000 2 dialect per 10,000 like 12 author per 10,000 7 dialect per 10,000 away 11 author per 10,000 2 dialect per 10,000 by 11 author per 10,000 7 dialect per 10,000 roon 11 author per 10,000 3 dialect per 10,000 other 11 author per 10,000 1 dialect per 10,000 asked 11 author per 10,000 3 dialect per 10,000 cannae 11 author per 10,000 5 dialect per 10,000 always 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 3 dialect per 10,000 pals 11 author per 10,000 0 dialect per 10,000 ah've 11 author per 10,000 5 dialect per 10,000 next 10 author per 10,000 5 dialect per 10,000 here 10 author per 10,000 13 dialect per 10,000 night 10 author per 10,000 1 dialect per 10,000 first 10 author per 10,000 2 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 2 dialect per 10,000 tryin 10 author per 10,000 2 dialect per 10,000 way 10 author per 10,000 1 dialect per 10,000 tell 10 author per 10,000 8 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 1 dialect per 10,000 s 10 author per 10,000 32 dialect per 10,000 who 9 author per 10,000 1 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 1 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 9 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 because 9 author per 10,000 1 dialect per 10,000 stuff 9 author per 10,000 1 dialect per 10,000 pit 9 author per 10,000 3 dialect per 10,000 couldnae 9 author per 10,000 3 dialect per 10,000 before 8 author per 10,000 0 dialect per 10,000 teacher 8 author per 10,000 1 dialect per 10,000 thing 8 author per 10,000 3 dialect per 10,000 same 8 author per 10,000 6 dialect per 10,000 face 8 author per 10,000 6 dialect per 10,000 again 8 author per 10,000 4 dialect per 10,000 bit 8 author per 10,000 18 dialect per 10,000 gied 8 author per 10,000 2 dialect per 10,000 any 8 author per 10,000 0 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 5 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 3 dialect per 10,000 looked 8 author per 10,000 6 dialect per 10,000 half 8 author per 10,000 0 dialect per 10,000 some 8 author per 10,000 12 dialect per 10,000 used 8 author per 10,000 1 dialect per 10,000 your 8 author per 10,000 1 dialect per 10,000 ower 8 author per 10,000 16 dialect per 10,000 heid 8 author per 10,000 15 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 2 dialect per 10,000 tried 7 author per 10,000 3 dialect per 10,000 where 7 author per 10,000 2 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 1 dialect per 10,000 hoose 7 author per 10,000 20 dialect per 10,000 hair 7 author per 10,000 2 dialect per 10,000 ah'll 7 author per 10,000 5 dialect per 10,000 through 7 author per 10,000 2 dialect per 10,000 another 7 author per 10,000 1 dialect per 10,000 home 7 author per 10,000 0 dialect per 10,000 sittin 7 author per 10,000 2 dialect per 10,000
Ulster
an 377 author per 10,000 413 dialect per 10,000 the 349 author per 10,000 209 dialect per 10,000 ah 308 author per 10,000 16 dialect per 10,000 tae 252 author per 10,000 252 dialect per 10,000 said 230 author per 10,000 35 dialect per 10,000 a 218 author per 10,000 293 dialect per 10,000 she 176 author per 10,000 16 dialect per 10,000 wis 157 author per 10,000 1 dialect per 10,000 ma 147 author per 10,000 25 dialect per 10,000 it 141 author per 10,000 78 dialect per 10,000 her 124 author per 10,000 8 dialect per 10,000 in 121 author per 10,000 102 dialect per 10,000 that 119 author per 10,000 81 dialect per 10,000 me 92 author per 10,000 25 dialect per 10,000 he 88 author per 10,000 78 dialect per 10,000 yi 78 author per 10,000 0 dialect per 10,000 cause 76 author per 10,000 0 dialect per 10,000 ae 75 author per 10,000 0 dialect per 10,000 aw 75 author per 10,000 2 dialect per 10,000 wi 73 author per 10,000 74 dialect per 10,000 charlene 71 author per 10,000 0 dialect per 10,000 fur 70 author per 10,000 51 dialect per 10,000 but 65 author per 10,000 49 dialect per 10,000 up 62 author per 10,000 36 dialect per 10,000 at 57 author per 10,000 45 dialect per 10,000 aboot 56 author per 10,000 30 dialect per 10,000 on 56 author per 10,000 66 dialect per 10,000 jist 52 author per 10,000 11 dialect per 10,000 got 52 author per 10,000 10 dialect per 10,000 no 48 author per 10,000 25 dialect per 10,000 whit 47 author per 10,000 2 dialect per 10,000 when 47 author per 10,000 2 dialect per 10,000 pure 44 author per 10,000 0 dialect per 10,000 wur 43 author per 10,000 19 dialect per 10,000 then 43 author per 10,000 19 dialect per 10,000 oot 41 author per 10,000 55 dialect per 10,000 be 39 author per 10,000 47 dialect per 10,000 she's 37 author per 10,000 1 dialect per 10,000 we 35 author per 10,000 17 dialect per 10,000 they 35 author per 10,000 24 dialect per 10,000 if 34 author per 10,000 15 dialect per 10,000 him 33 author per 10,000 11 dialect per 10,000 his 32 author per 10,000 22 dialect per 10,000 this 32 author per 10,000 29 dialect per 10,000 you 32 author per 10,000 5 dialect per 10,000 wan 30 author per 10,000 0 dialect per 10,000 had 30 author per 10,000 17 dialect per 10,000 aye 30 author per 10,000 13 dialect per 10,000 went 30 author per 10,000 14 dialect per 10,000 da 29 author per 10,000 1 dialect per 10,000 how 29 author per 10,000 0 dialect per 10,000 yir 29 author per 10,000 2 dialect per 10,000 don't 29 author per 10,000 0 dialect per 10,000 get 29 author per 10,000 8 dialect per 10,000 it's 28 author per 10,000 13 dialect per 10,000 as 28 author per 10,000 30 dialect per 10,000 lik 28 author per 10,000 7 dialect per 10,000 school 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 27 dialect per 10,000 chris 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 43 dialect per 10,000 go 26 author per 10,000 4 dialect per 10,000 is 26 author per 10,000 22 dialect per 10,000 them 26 author per 10,000 6 dialect per 10,000 know 26 author per 10,000 12 dialect per 10,000 fae 25 author per 10,000 10 dialect per 10,000 think 25 author per 10,000 8 dialect per 10,000 us 25 author per 10,000 4 dialect per 10,000 been 25 author per 10,000 1 dialect per 10,000 thir 24 author per 10,000 5 dialect per 10,000 wee 24 author per 10,000 26 dialect per 10,000 even 24 author per 10,000 4 dialect per 10,000 so 24 author per 10,000 5 dialect per 10,000 right 23 author per 10,000 1 dialect per 10,000 laura 23 author per 10,000 0 dialect per 10,000 didnae 23 author per 10,000 5 dialect per 10,000 aff 22 author per 10,000 17 dialect per 10,000 that's 22 author per 10,000 9 dialect per 10,000 big 21 author per 10,000 9 dialect per 10,000 ah'm 21 author per 10,000 1 dialect per 10,000 he's 20 author per 10,000 3 dialect per 10,000 well 20 author per 10,000 3 dialect per 10,000 never 20 author per 10,000 0 dialect per 10,000 back 19 author per 10,000 2 dialect per 10,000 intae 19 author per 10,000 11 dialect per 10,000 time 19 author per 10,000 14 dialect per 10,000 - 18 author per 10,000 22 dialect per 10,000 harpreet 18 author per 10,000 0 dialect per 10,000 day 18 author per 10,000 17 dialect per 10,000 see 18 author per 10,000 18 dialect per 10,000 tolt 18 author per 10,000 0 dialect per 10,000 come 18 author per 10,000 10 dialect per 10,000 kelly 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 33 dialect per 10,000 are 18 author per 10,000 2 dialect per 10,000 though 17 author per 10,000 1 dialect per 10,000 oor 17 author per 10,000 12 dialect per 10,000 gaunnae 17 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 6 dialect per 10,000 did 16 author per 10,000 5 dialect per 10,000 two 16 author per 10,000 0 dialect per 10,000 startet 16 author per 10,000 0 dialect per 10,000 class 16 author per 10,000 0 dialect per 10,000 wisnae 15 author per 10,000 0 dialect per 10,000 say 15 author per 10,000 12 dialect per 10,000 ah'd 15 author per 10,000 0 dialect per 10,000 could 14 author per 10,000 1 dialect per 10,000 want 14 author per 10,000 4 dialect per 10,000 dead 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 after 14 author per 10,000 0 dialect per 10,000 gaun 14 author per 10,000 2 dialect per 10,000 kirsty 14 author per 10,000 0 dialect per 10,000 thought 14 author per 10,000 1 dialect per 10,000 wully 13 author per 10,000 0 dialect per 10,000 wid 13 author per 10,000 1 dialect per 10,000 really 13 author per 10,000 1 dialect per 10,000 huv 13 author per 10,000 0 dialect per 10,000 talkin 13 author per 10,000 0 dialect per 10,000 karen 13 author per 10,000 0 dialect per 10,000 naw 13 author per 10,000 12 dialect per 10,000 gettin 13 author per 10,000 2 dialect per 10,000 daein 13 author per 10,000 3 dialect per 10,000 only 12 author per 10,000 4 dialect per 10,000 marie 12 author per 10,000 0 dialect per 10,000 folk 12 author per 10,000 4 dialect per 10,000 noo 12 author per 10,000 26 dialect per 10,000 somethin 12 author per 10,000 2 dialect per 10,000 made 12 author per 10,000 7 dialect per 10,000 still 12 author per 10,000 5 dialect per 10,000 she'd 12 author per 10,000 0 dialect per 10,000 like 12 author per 10,000 10 dialect per 10,000 away 11 author per 10,000 1 dialect per 10,000 by 11 author per 10,000 9 dialect per 10,000 roon 11 author per 10,000 13 dialect per 10,000 other 11 author per 10,000 0 dialect per 10,000 asked 11 author per 10,000 0 dialect per 10,000 cannae 11 author per 10,000 9 dialect per 10,000 always 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 0 dialect per 10,000 pals 11 author per 10,000 0 dialect per 10,000 ah've 11 author per 10,000 0 dialect per 10,000 next 10 author per 10,000 0 dialect per 10,000 here 10 author per 10,000 11 dialect per 10,000 night 10 author per 10,000 0 dialect per 10,000 first 10 author per 10,000 1 dialect per 10,000 nicola 10 author per 10,000 0 dialect per 10,000 anythin 10 author per 10,000 0 dialect per 10,000 says 10 author per 10,000 4 dialect per 10,000 tryin 10 author per 10,000 2 dialect per 10,000 way 10 author per 10,000 1 dialect per 10,000 tell 10 author per 10,000 12 dialect per 10,000 yvonne 10 author per 10,000 0 dialect per 10,000 good 10 author per 10,000 0 dialect per 10,000 s 10 author per 10,000 14 dialect per 10,000 who 9 author per 10,000 1 dialect per 10,000 charlene's 9 author per 10,000 0 dialect per 10,000 rice 9 author per 10,000 0 dialect per 10,000 wantet 9 author per 10,000 0 dialect per 10,000 new 9 author per 10,000 5 dialect per 10,000 ever 9 author per 10,000 0 dialect per 10,000 because 9 author per 10,000 0 dialect per 10,000 stuff 9 author per 10,000 1 dialect per 10,000 pit 9 author per 10,000 10 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 before 8 author per 10,000 0 dialect per 10,000 teacher 8 author per 10,000 0 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 same 8 author per 10,000 6 dialect per 10,000 face 8 author per 10,000 3 dialect per 10,000 again 8 author per 10,000 1 dialect per 10,000 bit 8 author per 10,000 7 dialect per 10,000 gied 8 author per 10,000 1 dialect per 10,000 any 8 author per 10,000 0 dialect per 10,000 anaw 8 author per 10,000 0 dialect per 10,000 mccoy 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 2 dialect per 10,000 kyle 8 author per 10,000 0 dialect per 10,000 lassie 8 author per 10,000 0 dialect per 10,000 looked 8 author per 10,000 0 dialect per 10,000 half 8 author per 10,000 3 dialect per 10,000 some 8 author per 10,000 8 dialect per 10,000 used 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 1 dialect per 10,000 ower 8 author per 10,000 19 dialect per 10,000 heid 8 author per 10,000 15 dialect per 10,000 sumdy 8 author per 10,000 0 dialect per 10,000 need 7 author per 10,000 3 dialect per 10,000 tried 7 author per 10,000 1 dialect per 10,000 where 7 author per 10,000 0 dialect per 10,000 evrubdy 7 author per 10,000 0 dialect per 10,000 stramash 7 author per 10,000 0 dialect per 10,000 bad 7 author per 10,000 3 dialect per 10,000 hoose 7 author per 10,000 16 dialect per 10,000 hair 7 author per 10,000 1 dialect per 10,000 ah'll 7 author per 10,000 1 dialect per 10,000 through 7 author per 10,000 3 dialect per 10,000 another 7 author per 10,000 0 dialect per 10,000 home 7 author per 10,000 0 dialect per 10,000 sittin 7 author per 10,000 2 dialect per 10,000