A Corpus of 21st Century Scots Texts

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Nicol, Alissa


Total words by this author in corpus - 1,229
Total unique words used by this author in corpus - 520
Ratio of total words to unique words - 2.363
Top ten most common words - the, tae, a, and, it, wis, livvy, them, ae, her,

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 537 author per 10,000 565 dialect per 10,000 tae 277 author per 10,000 211 dialect per 10,000 a 260 author per 10,000 266 dialect per 10,000 and 244 author per 10,000 94 dialect per 10,000 it 187 author per 10,000 116 dialect per 10,000 wis 163 author per 10,000 96 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 17 dialect per 10,000 ae 138 author per 10,000 24 dialect per 10,000 her 130 author per 10,000 46 dialect per 10,000 that 130 author per 10,000 106 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 56 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 147 dialect per 10,000 at 90 author per 10,000 59 dialect per 10,000 as 90 author per 10,000 59 dialect per 10,000 they 90 author per 10,000 41 dialect per 10,000 wit 81 author per 10,000 1 dialect per 10,000 night 65 author per 10,000 2 dialect per 10,000 said 57 author per 10,000 39 dialect per 10,000 e'er 57 author per 10,000 0 dialect per 10,000 wee 57 author per 10,000 30 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 21 dialect per 10,000 up 57 author per 10,000 40 dialect per 10,000 me 57 author per 10,000 40 dialect per 10,000 aw 57 author per 10,000 40 dialect per 10,000 be 49 author per 10,000 48 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 40 dialect per 10,000 here 49 author per 10,000 12 dialect per 10,000 he 49 author per 10,000 86 dialect per 10,000 asked 49 author per 10,000 2 dialect per 10,000 group 49 author per 10,000 1 dialect per 10,000 or 49 author per 10,000 29 dialect per 10,000 by 41 author per 10,000 17 dialect per 10,000 there 41 author per 10,000 23 dialect per 10,000 shouted 41 author per 10,000 1 dialect per 10,000 hing 41 author per 10,000 2 dialect per 10,000 but 41 author per 10,000 48 dialect per 10,000 doon 41 author per 10,000 18 dialect per 10,000 course 41 author per 10,000 1 dialect per 10,000 no 41 author per 10,000 36 dialect per 10,000 wan 33 author per 10,000 9 dialect per 10,000 for 33 author per 10,000 47 dialect per 10,000 git 33 author per 10,000 4 dialect per 10,000 us 33 author per 10,000 15 dialect per 10,000 were 33 author per 10,000 15 dialect per 10,000 yous 33 author per 10,000 0 dialect per 10,000 it's 33 author per 10,000 18 dialect per 10,000 huv 33 author per 10,000 6 dialect per 10,000 wae 33 author per 10,000 9 dialect per 10,000 if 33 author per 10,000 17 dialect per 10,000 liv 33 author per 10,000 0 dialect per 10,000 on 33 author per 10,000 54 dialect per 10,000 fence 33 author per 10,000 1 dialect per 10,000 only 33 author per 10,000 6 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 29 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 4 dialect per 10,000 get 24 author per 10,000 15 dialect per 10,000 help 24 author per 10,000 4 dialect per 10,000 drum 24 author per 10,000 0 dialect per 10,000 jist 24 author per 10,000 20 dialect per 10,000 had 24 author per 10,000 22 dialect per 10,000 country 24 author per 10,000 1 dialect per 10,000 couldnae 24 author per 10,000 3 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 1 dialect per 10,000 you 24 author per 10,000 15 dialect per 10,000 eyes 24 author per 10,000 3 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 1 dialect per 10,000 fae 24 author per 10,000 26 dialect per 10,000 like 24 author per 10,000 29 dialect per 10,000 aye 24 author per 10,000 16 dialect per 10,000 aff 24 author per 10,000 14 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 2 dialect per 10,000 good 24 author per 10,000 2 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 1 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 20 dialect per 10,000 except 16 author per 10,000 0 dialect per 10,000 sure 16 author per 10,000 2 dialect per 10,000 startit 16 author per 10,000 0 dialect per 10,000 again 16 author per 10,000 9 dialect per 10,000 sign 16 author per 10,000 1 dialect per 10,000 his 16 author per 10,000 58 dialect per 10,000 will 16 author per 10,000 10 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 4 dialect per 10,000 ahint 16 author per 10,000 3 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 2 dialect per 10,000 soon 16 author per 10,000 2 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 1 dialect per 10,000 dae 16 author per 10,000 17 dialect per 10,000 was 16 author per 10,000 7 dialect per 10,000 rain 16 author per 10,000 1 dialect per 10,000 saturday 16 author per 10,000 0 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 2 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 11 dialect per 10,000 tryin 16 author per 10,000 3 dialect per 10,000 light 16 author per 10,000 1 dialect per 10,000 we're 16 author per 10,000 2 dialect per 10,000 meant 16 author per 10,000 2 dialect per 10,000 say 16 author per 10,000 10 dialect per 10,000 bein 16 author per 10,000 6 dialect per 10,000 noticed 16 author per 10,000 1 dialect per 10,000 intae 16 author per 10,000 18 dialect per 10,000 pals 16 author per 10,000 1 dialect per 10,000 look 16 author per 10,000 6 dialect per 10,000 take 16 author per 10,000 3 dialect per 10,000 same 16 author per 10,000 6 dialect per 10,000 walked 16 author per 10,000 1 dialect per 10,000 sounds 16 author per 10,000 0 dialect per 10,000 tall 16 author per 10,000 0 dialect per 10,000 hadn't 16 author per 10,000 0 dialect per 10,000 been 16 author per 10,000 18 dialect per 10,000 responsible 16 author per 10,000 0 dialect per 10,000 bin 16 author per 10,000 1 dialect per 10,000 long 16 author per 10,000 2 dialect per 10,000 club 16 author per 10,000 1 dialect per 10,000 bellshill 16 author per 10,000 0 dialect per 10,000 i 16 author per 10,000 40 dialect per 10,000 widened 16 author per 10,000 0 dialect per 10,000 when 16 author per 10,000 18 dialect per 10,000 creature's 16 author per 10,000 0 dialect per 10,000 told 16 author per 10,000 0 dialect per 10,000 anywhere 16 author per 10,000 0 dialect per 10,000 to 16 author per 10,000 9 dialect per 10,000 whispered 16 author per 10,000 0 dialect per 10,000 next 16 author per 10,000 3 dialect per 10,000 i'm 16 author per 10,000 4 dialect per 10,000 hid 16 author per 10,000 2 dialect per 10,000 went 16 author per 10,000 7 dialect per 10,000 lik 16 author per 10,000 5 dialect per 10,000 want 16 author per 10,000 6 dialect per 10,000 just 16 author per 10,000 4 dialect per 10,000 their 16 author per 10,000 19 dialect per 10,000 believe 16 author per 10,000 2 dialect per 10,000 man 16 author per 10,000 11 dialect per 10,000 cawld 16 author per 10,000 0 dialect per 10,000 polis 16 author per 10,000 1 dialect per 10,000 phone 16 author per 10,000 2 dialect per 10,000 why 16 author per 10,000 2 dialect per 10,000 dunno 16 author per 10,000 0 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 we 16 author per 10,000 34 dialect per 10,000 is 16 author per 10,000 58 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 plank 16 author per 10,000 0 dialect per 10,000 god 16 author per 10,000 2 dialect per 10,000 four 16 author per 10,000 1 dialect per 10,000 caught 16 author per 10,000 1 dialect per 10,000 ma 16 author per 10,000 52 dialect per 10,000 hauf 16 author per 10,000 3 dialect per 10,000 realised 8 author per 10,000 1 dialect per 10,000 pointed 8 author per 10,000 0 dialect per 10,000 where's 8 author per 10,000 0 dialect per 10,000 well 8 author per 10,000 4 dialect per 10,000 kinda 8 author per 10,000 0 dialect per 10,000 panic 8 author per 10,000 0 dialect per 10,000 fully 8 author per 10,000 0 dialect per 10,000 minute 8 author per 10,000 1 dialect per 10,000 until 8 author per 10,000 2 dialect per 10,000 wit'd 8 author per 10,000 0 dialect per 10,000 wasnae 8 author per 10,000 1 dialect per 10,000 chill 8 author per 10,000 0 dialect per 10,000 ivry 8 author per 10,000 0 dialect per 10,000 sound 8 author per 10,000 1 dialect per 10,000 screechin 8 author per 10,000 0 dialect per 10,000 high-pitched 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 3 dialect per 10,000 seconds 8 author per 10,000 0 dialect per 10,000 wid 8 author per 10,000 8 dialect per 10,000 animal 8 author per 10,000 0 dialect per 10,000 white 8 author per 10,000 3 dialect per 10,000 remarked 8 author per 10,000 0 dialect per 10,000 nut 8 author per 10,000 0 dialect per 10,000 bewildered 8 author per 10,000 0 dialect per 10,000 arise 8 author per 10,000 0 dialect per 10,000 random 8 author per 10,000 0 dialect per 10,000 marching 8 author per 10,000 0 dialect per 10,000 band 8 author per 10,000 0 dialect per 10,000 you're 8 author per 10,000 1 dialect per 10,000 ten 8 author per 10,000 2 dialect per 10,000 goin 8 author per 10,000 1 dialect per 10,000 belt 8 author per 10,000 1 dialect per 10,000 		Doric
the 537 author per 10,000 451 dialect per 10,000 tae 277 author per 10,000 171 dialect per 10,000 a 260 author per 10,000 314 dialect per 10,000 and 244 author per 10,000 42 dialect per 10,000 it 187 author per 10,000 99 dialect per 10,000 wis 163 author per 10,000 104 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 23 dialect per 10,000 ae 138 author per 10,000 7 dialect per 10,000 her 130 author per 10,000 64 dialect per 10,000 that 130 author per 10,000 53 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 66 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 131 dialect per 10,000 at 90 author per 10,000 67 dialect per 10,000 as 90 author per 10,000 52 dialect per 10,000 they 90 author per 10,000 36 dialect per 10,000 wit 81 author per 10,000 0 dialect per 10,000 night 65 author per 10,000 0 dialect per 10,000 said 57 author per 10,000 36 dialect per 10,000 e'er 57 author per 10,000 0 dialect per 10,000 wee 57 author per 10,000 18 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 21 dialect per 10,000 up 57 author per 10,000 47 dialect per 10,000 me 57 author per 10,000 33 dialect per 10,000 aw 57 author per 10,000 4 dialect per 10,000 be 49 author per 10,000 45 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 50 dialect per 10,000 here 49 author per 10,000 11 dialect per 10,000 he 49 author per 10,000 97 dialect per 10,000 asked 49 author per 10,000 1 dialect per 10,000 group 49 author per 10,000 0 dialect per 10,000 or 49 author per 10,000 26 dialect per 10,000 by 41 author per 10,000 9 dialect per 10,000 there 41 author per 10,000 22 dialect per 10,000 shouted 41 author per 10,000 1 dialect per 10,000 hing 41 author per 10,000 1 dialect per 10,000 but 41 author per 10,000 26 dialect per 10,000 doon 41 author per 10,000 33 dialect per 10,000 course 41 author per 10,000 2 dialect per 10,000 no 41 author per 10,000 7 dialect per 10,000 wan 33 author per 10,000 3 dialect per 10,000 for 33 author per 10,000 45 dialect per 10,000 git 33 author per 10,000 3 dialect per 10,000 us 33 author per 10,000 7 dialect per 10,000 were 33 author per 10,000 13 dialect per 10,000 yous 33 author per 10,000 0 dialect per 10,000 it's 33 author per 10,000 20 dialect per 10,000 huv 33 author per 10,000 0 dialect per 10,000 wae 33 author per 10,000 1 dialect per 10,000 if 33 author per 10,000 16 dialect per 10,000 liv 33 author per 10,000 0 dialect per 10,000 on 33 author per 10,000 68 dialect per 10,000 fence 33 author per 10,000 0 dialect per 10,000 only 33 author per 10,000 6 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 33 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 2 dialect per 10,000 get 24 author per 10,000 16 dialect per 10,000 help 24 author per 10,000 4 dialect per 10,000 drum 24 author per 10,000 0 dialect per 10,000 jist 24 author per 10,000 36 dialect per 10,000 had 24 author per 10,000 4 dialect per 10,000 country 24 author per 10,000 1 dialect per 10,000 couldnae 24 author per 10,000 0 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 2 dialect per 10,000 you 24 author per 10,000 18 dialect per 10,000 eyes 24 author per 10,000 1 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 1 dialect per 10,000 fae 24 author per 10,000 30 dialect per 10,000 like 24 author per 10,000 37 dialect per 10,000 aye 24 author per 10,000 22 dialect per 10,000 aff 24 author per 10,000 14 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 4 dialect per 10,000 good 24 author per 10,000 2 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 1 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 36 dialect per 10,000 except 16 author per 10,000 1 dialect per 10,000 sure 16 author per 10,000 4 dialect per 10,000 startit 16 author per 10,000 0 dialect per 10,000 again 16 author per 10,000 10 dialect per 10,000 sign 16 author per 10,000 2 dialect per 10,000 his 16 author per 10,000 69 dialect per 10,000 will 16 author per 10,000 9 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 4 dialect per 10,000 ahint 16 author per 10,000 1 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 2 dialect per 10,000 soon 16 author per 10,000 2 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 1 dialect per 10,000 dae 16 author per 10,000 5 dialect per 10,000 was 16 author per 10,000 10 dialect per 10,000 rain 16 author per 10,000 6 dialect per 10,000 saturday 16 author per 10,000 2 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 0 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 14 dialect per 10,000 tryin 16 author per 10,000 2 dialect per 10,000 light 16 author per 10,000 0 dialect per 10,000 we're 16 author per 10,000 2 dialect per 10,000 meant 16 author per 10,000 1 dialect per 10,000 say 16 author per 10,000 14 dialect per 10,000 bein 16 author per 10,000 5 dialect per 10,000 noticed 16 author per 10,000 1 dialect per 10,000 intae 16 author per 10,000 10 dialect per 10,000 pals 16 author per 10,000 1 dialect per 10,000 look 16 author per 10,000 7 dialect per 10,000 take 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 5 dialect per 10,000 walked 16 author per 10,000 1 dialect per 10,000 sounds 16 author per 10,000 0 dialect per 10,000 tall 16 author per 10,000 0 dialect per 10,000 hadn't 16 author per 10,000 0 dialect per 10,000 been 16 author per 10,000 14 dialect per 10,000 responsible 16 author per 10,000 0 dialect per 10,000 bin 16 author per 10,000 8 dialect per 10,000 long 16 author per 10,000 1 dialect per 10,000 club 16 author per 10,000 1 dialect per 10,000 bellshill 16 author per 10,000 0 dialect per 10,000 i 16 author per 10,000 68 dialect per 10,000 widened 16 author per 10,000 0 dialect per 10,000 when 16 author per 10,000 3 dialect per 10,000 creature's 16 author per 10,000 0 dialect per 10,000 told 16 author per 10,000 0 dialect per 10,000 anywhere 16 author per 10,000 0 dialect per 10,000 to 16 author per 10,000 8 dialect per 10,000 whispered 16 author per 10,000 0 dialect per 10,000 next 16 author per 10,000 3 dialect per 10,000 i'm 16 author per 10,000 8 dialect per 10,000 hid 16 author per 10,000 33 dialect per 10,000 went 16 author per 10,000 4 dialect per 10,000 lik 16 author per 10,000 4 dialect per 10,000 want 16 author per 10,000 2 dialect per 10,000 just 16 author per 10,000 1 dialect per 10,000 their 16 author per 10,000 19 dialect per 10,000 believe 16 author per 10,000 2 dialect per 10,000 man 16 author per 10,000 7 dialect per 10,000 cawld 16 author per 10,000 0 dialect per 10,000 polis 16 author per 10,000 0 dialect per 10,000 phone 16 author per 10,000 2 dialect per 10,000 why 16 author per 10,000 1 dialect per 10,000 dunno 16 author per 10,000 0 dialect per 10,000 side 16 author per 10,000 5 dialect per 10,000 we 16 author per 10,000 33 dialect per 10,000 is 16 author per 10,000 39 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 plank 16 author per 10,000 0 dialect per 10,000 god 16 author per 10,000 4 dialect per 10,000 four 16 author per 10,000 0 dialect per 10,000 caught 16 author per 10,000 0 dialect per 10,000 ma 16 author per 10,000 50 dialect per 10,000 hauf 16 author per 10,000 2 dialect per 10,000 realised 8 author per 10,000 0 dialect per 10,000 pointed 8 author per 10,000 0 dialect per 10,000 where's 8 author per 10,000 0 dialect per 10,000 well 8 author per 10,000 2 dialect per 10,000 kinda 8 author per 10,000 0 dialect per 10,000 panic 8 author per 10,000 0 dialect per 10,000 fully 8 author per 10,000 0 dialect per 10,000 minute 8 author per 10,000 0 dialect per 10,000 until 8 author per 10,000 1 dialect per 10,000 wit'd 8 author per 10,000 0 dialect per 10,000 wasnae 8 author per 10,000 0 dialect per 10,000 chill 8 author per 10,000 0 dialect per 10,000 ivry 8 author per 10,000 0 dialect per 10,000 sound 8 author per 10,000 0 dialect per 10,000 screechin 8 author per 10,000 0 dialect per 10,000 high-pitched 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 1 dialect per 10,000 seconds 8 author per 10,000 0 dialect per 10,000 wid 8 author per 10,000 18 dialect per 10,000 animal 8 author per 10,000 0 dialect per 10,000 white 8 author per 10,000 1 dialect per 10,000 remarked 8 author per 10,000 0 dialect per 10,000 nut 8 author per 10,000 0 dialect per 10,000 bewildered 8 author per 10,000 0 dialect per 10,000 arise 8 author per 10,000 0 dialect per 10,000 random 8 author per 10,000 0 dialect per 10,000 marching 8 author per 10,000 0 dialect per 10,000 band 8 author per 10,000 1 dialect per 10,000 you're 8 author per 10,000 1 dialect per 10,000 ten 8 author per 10,000 3 dialect per 10,000 goin 8 author per 10,000 0 dialect per 10,000 belt 8 author per 10,000 1 dialect per 10,000
Shetland
the 537 author per 10,000 18 dialect per 10,000 tae 277 author per 10,000 86 dialect per 10,000 a 260 author per 10,000 280 dialect per 10,000 and 244 author per 10,000 15 dialect per 10,000 it 187 author per 10,000 58 dialect per 10,000 wis 163 author per 10,000 162 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 1 dialect per 10,000 ae 138 author per 10,000 1 dialect per 10,000 her 130 author per 10,000 64 dialect per 10,000 that 130 author per 10,000 4 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 7 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 105 dialect per 10,000 at 90 author per 10,000 112 dialect per 10,000 as 90 author per 10,000 79 dialect per 10,000 they 90 author per 10,000 2 dialect per 10,000 wit 81 author per 10,000 0 dialect per 10,000 night 65 author per 10,000 5 dialect per 10,000 said 57 author per 10,000 61 dialect per 10,000 e'er 57 author per 10,000 0 dialect per 10,000 wee 57 author per 10,000 0 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 18 dialect per 10,000 up 57 author per 10,000 42 dialect per 10,000 me 57 author per 10,000 41 dialect per 10,000 aw 57 author per 10,000 0 dialect per 10,000 be 49 author per 10,000 56 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 42 dialect per 10,000 here 49 author per 10,000 11 dialect per 10,000 he 49 author per 10,000 103 dialect per 10,000 asked 49 author per 10,000 0 dialect per 10,000 group 49 author per 10,000 1 dialect per 10,000 or 49 author per 10,000 32 dialect per 10,000 by 41 author per 10,000 7 dialect per 10,000 there 41 author per 10,000 1 dialect per 10,000 shouted 41 author per 10,000 0 dialect per 10,000 hing 41 author per 10,000 0 dialect per 10,000 but 41 author per 10,000 29 dialect per 10,000 doon 41 author per 10,000 22 dialect per 10,000 course 41 author per 10,000 1 dialect per 10,000 no 41 author per 10,000 35 dialect per 10,000 wan 33 author per 10,000 13 dialect per 10,000 for 33 author per 10,000 35 dialect per 10,000 git 33 author per 10,000 4 dialect per 10,000 us 33 author per 10,000 0 dialect per 10,000 were 33 author per 10,000 3 dialect per 10,000 yous 33 author per 10,000 0 dialect per 10,000 it's 33 author per 10,000 8 dialect per 10,000 huv 33 author per 10,000 0 dialect per 10,000 wae 33 author per 10,000 0 dialect per 10,000 if 33 author per 10,000 25 dialect per 10,000 liv 33 author per 10,000 0 dialect per 10,000 on 33 author per 10,000 52 dialect per 10,000 fence 33 author per 10,000 1 dialect per 10,000 only 33 author per 10,000 5 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 41 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 0 dialect per 10,000 get 24 author per 10,000 6 dialect per 10,000 help 24 author per 10,000 3 dialect per 10,000 drum 24 author per 10,000 0 dialect per 10,000 jist 24 author per 10,000 0 dialect per 10,000 had 24 author per 10,000 2 dialect per 10,000 country 24 author per 10,000 0 dialect per 10,000 couldnae 24 author per 10,000 0 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 2 dialect per 10,000 you 24 author per 10,000 51 dialect per 10,000 eyes 24 author per 10,000 0 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 4 dialect per 10,000 fae 24 author per 10,000 40 dialect per 10,000 like 24 author per 10,000 2 dialect per 10,000 aye 24 author per 10,000 11 dialect per 10,000 aff 24 author per 10,000 18 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 3 dialect per 10,000 good 24 author per 10,000 1 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 0 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 0 dialect per 10,000 except 16 author per 10,000 0 dialect per 10,000 sure 16 author per 10,000 4 dialect per 10,000 startit 16 author per 10,000 5 dialect per 10,000 again 16 author per 10,000 5 dialect per 10,000 sign 16 author per 10,000 1 dialect per 10,000 his 16 author per 10,000 52 dialect per 10,000 will 16 author per 10,000 9 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 4 dialect per 10,000 ahint 16 author per 10,000 4 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 soon 16 author per 10,000 0 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 0 dialect per 10,000 dae 16 author per 10,000 2 dialect per 10,000 was 16 author per 10,000 3 dialect per 10,000 rain 16 author per 10,000 1 dialect per 10,000 saturday 16 author per 10,000 0 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 0 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 8 dialect per 10,000 tryin 16 author per 10,000 2 dialect per 10,000 light 16 author per 10,000 1 dialect per 10,000 we're 16 author per 10,000 2 dialect per 10,000 meant 16 author per 10,000 1 dialect per 10,000 say 16 author per 10,000 11 dialect per 10,000 bein 16 author per 10,000 7 dialect per 10,000 noticed 16 author per 10,000 1 dialect per 10,000 intae 16 author per 10,000 8 dialect per 10,000 pals 16 author per 10,000 0 dialect per 10,000 look 16 author per 10,000 6 dialect per 10,000 take 16 author per 10,000 0 dialect per 10,000 same 16 author per 10,000 0 dialect per 10,000 walked 16 author per 10,000 0 dialect per 10,000 sounds 16 author per 10,000 0 dialect per 10,000 tall 16 author per 10,000 0 dialect per 10,000 hadn't 16 author per 10,000 0 dialect per 10,000 been 16 author per 10,000 16 dialect per 10,000 responsible 16 author per 10,000 0 dialect per 10,000 bin 16 author per 10,000 0 dialect per 10,000 long 16 author per 10,000 0 dialect per 10,000 club 16 author per 10,000 0 dialect per 10,000 bellshill 16 author per 10,000 0 dialect per 10,000 i 16 author per 10,000 143 dialect per 10,000 widened 16 author per 10,000 0 dialect per 10,000 when 16 author per 10,000 5 dialect per 10,000 creature's 16 author per 10,000 0 dialect per 10,000 told 16 author per 10,000 1 dialect per 10,000 anywhere 16 author per 10,000 0 dialect per 10,000 to 16 author per 10,000 8 dialect per 10,000 whispered 16 author per 10,000 1 dialect per 10,000 next 16 author per 10,000 1 dialect per 10,000 i'm 16 author per 10,000 2 dialect per 10,000 hid 16 author per 10,000 1 dialect per 10,000 went 16 author per 10,000 0 dialect per 10,000 lik 16 author per 10,000 10 dialect per 10,000 want 16 author per 10,000 5 dialect per 10,000 just 16 author per 10,000 10 dialect per 10,000 their 16 author per 10,000 1 dialect per 10,000 believe 16 author per 10,000 2 dialect per 10,000 man 16 author per 10,000 17 dialect per 10,000 cawld 16 author per 10,000 0 dialect per 10,000 polis 16 author per 10,000 0 dialect per 10,000 phone 16 author per 10,000 1 dialect per 10,000 why 16 author per 10,000 2 dialect per 10,000 dunno 16 author per 10,000 0 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 we 16 author per 10,000 44 dialect per 10,000 is 16 author per 10,000 81 dialect per 10,000 maybe 16 author per 10,000 4 dialect per 10,000 plank 16 author per 10,000 0 dialect per 10,000 god 16 author per 10,000 1 dialect per 10,000 four 16 author per 10,000 0 dialect per 10,000 caught 16 author per 10,000 0 dialect per 10,000 ma 16 author per 10,000 0 dialect per 10,000 hauf 16 author per 10,000 0 dialect per 10,000 realised 8 author per 10,000 1 dialect per 10,000 pointed 8 author per 10,000 0 dialect per 10,000 where's 8 author per 10,000 0 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 kinda 8 author per 10,000 5 dialect per 10,000 panic 8 author per 10,000 0 dialect per 10,000 fully 8 author per 10,000 0 dialect per 10,000 minute 8 author per 10,000 0 dialect per 10,000 until 8 author per 10,000 1 dialect per 10,000 wit'd 8 author per 10,000 0 dialect per 10,000 wasnae 8 author per 10,000 0 dialect per 10,000 chill 8 author per 10,000 0 dialect per 10,000 ivry 8 author per 10,000 0 dialect per 10,000 sound 8 author per 10,000 0 dialect per 10,000 screechin 8 author per 10,000 0 dialect per 10,000 high-pitched 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 1 dialect per 10,000 seconds 8 author per 10,000 0 dialect per 10,000 wid 8 author per 10,000 38 dialect per 10,000 animal 8 author per 10,000 0 dialect per 10,000 white 8 author per 10,000 5 dialect per 10,000 remarked 8 author per 10,000 0 dialect per 10,000 nut 8 author per 10,000 0 dialect per 10,000 bewildered 8 author per 10,000 0 dialect per 10,000 arise 8 author per 10,000 0 dialect per 10,000 random 8 author per 10,000 0 dialect per 10,000 marching 8 author per 10,000 0 dialect per 10,000 band 8 author per 10,000 0 dialect per 10,000 you're 8 author per 10,000 3 dialect per 10,000 ten 8 author per 10,000 1 dialect per 10,000 goin 8 author per 10,000 0 dialect per 10,000 belt 8 author per 10,000 0 dialect per 10,000 		Orkney
the 537 author per 10,000 582 dialect per 10,000 tae 277 author per 10,000 223 dialect per 10,000 a 260 author per 10,000 298 dialect per 10,000 and 244 author per 10,000 199 dialect per 10,000 it 187 author per 10,000 23 dialect per 10,000 wis 163 author per 10,000 80 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 18 dialect per 10,000 ae 138 author per 10,000 1 dialect per 10,000 her 130 author per 10,000 49 dialect per 10,000 that 130 author per 10,000 75 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 9 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 146 dialect per 10,000 at 90 author per 10,000 54 dialect per 10,000 as 90 author per 10,000 48 dialect per 10,000 they 90 author per 10,000 37 dialect per 10,000 wit 81 author per 10,000 0 dialect per 10,000 night 65 author per 10,000 13 dialect per 10,000 said 57 author per 10,000 15 dialect per 10,000 e'er 57 author per 10,000 0 dialect per 10,000 wee 57 author per 10,000 1 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 26 dialect per 10,000 up 57 author per 10,000 34 dialect per 10,000 me 57 author per 10,000 115 dialect per 10,000 aw 57 author per 10,000 0 dialect per 10,000 be 49 author per 10,000 42 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 50 dialect per 10,000 here 49 author per 10,000 12 dialect per 10,000 he 49 author per 10,000 85 dialect per 10,000 asked 49 author per 10,000 2 dialect per 10,000 group 49 author per 10,000 1 dialect per 10,000 or 49 author per 10,000 30 dialect per 10,000 by 41 author per 10,000 16 dialect per 10,000 there 41 author per 10,000 18 dialect per 10,000 shouted 41 author per 10,000 1 dialect per 10,000 hing 41 author per 10,000 1 dialect per 10,000 but 41 author per 10,000 28 dialect per 10,000 doon 41 author per 10,000 28 dialect per 10,000 course 41 author per 10,000 0 dialect per 10,000 no 41 author per 10,000 58 dialect per 10,000 wan 33 author per 10,000 22 dialect per 10,000 for 33 author per 10,000 26 dialect per 10,000 git 33 author per 10,000 5 dialect per 10,000 us 33 author per 10,000 6 dialect per 10,000 were 33 author per 10,000 6 dialect per 10,000 yous 33 author per 10,000 0 dialect per 10,000 it's 33 author per 10,000 4 dialect per 10,000 huv 33 author per 10,000 0 dialect per 10,000 wae 33 author per 10,000 44 dialect per 10,000 if 33 author per 10,000 15 dialect per 10,000 liv 33 author per 10,000 1 dialect per 10,000 on 33 author per 10,000 73 dialect per 10,000 fence 33 author per 10,000 1 dialect per 10,000 only 33 author per 10,000 7 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 26 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 0 dialect per 10,000 get 24 author per 10,000 9 dialect per 10,000 help 24 author per 10,000 2 dialect per 10,000 drum 24 author per 10,000 1 dialect per 10,000 jist 24 author per 10,000 3 dialect per 10,000 had 24 author per 10,000 3 dialect per 10,000 country 24 author per 10,000 1 dialect per 10,000 couldnae 24 author per 10,000 0 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 1 dialect per 10,000 you 24 author per 10,000 35 dialect per 10,000 eyes 24 author per 10,000 7 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 6 dialect per 10,000 fae 24 author per 10,000 39 dialect per 10,000 like 24 author per 10,000 31 dialect per 10,000 aye 24 author per 10,000 9 dialect per 10,000 aff 24 author per 10,000 8 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 6 dialect per 10,000 good 24 author per 10,000 9 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 0 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 7 dialect per 10,000 except 16 author per 10,000 1 dialect per 10,000 sure 16 author per 10,000 5 dialect per 10,000 startit 16 author per 10,000 0 dialect per 10,000 again 16 author per 10,000 12 dialect per 10,000 sign 16 author per 10,000 2 dialect per 10,000 his 16 author per 10,000 61 dialect per 10,000 will 16 author per 10,000 12 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 2 dialect per 10,000 ahint 16 author per 10,000 5 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 soon 16 author per 10,000 4 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 0 dialect per 10,000 dae 16 author per 10,000 10 dialect per 10,000 was 16 author per 10,000 2 dialect per 10,000 rain 16 author per 10,000 3 dialect per 10,000 saturday 16 author per 10,000 0 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 0 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 11 dialect per 10,000 tryin 16 author per 10,000 0 dialect per 10,000 light 16 author per 10,000 8 dialect per 10,000 we're 16 author per 10,000 2 dialect per 10,000 meant 16 author per 10,000 1 dialect per 10,000 say 16 author per 10,000 10 dialect per 10,000 bein 16 author per 10,000 1 dialect per 10,000 noticed 16 author per 10,000 0 dialect per 10,000 intae 16 author per 10,000 18 dialect per 10,000 pals 16 author per 10,000 1 dialect per 10,000 look 16 author per 10,000 1 dialect per 10,000 take 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 3 dialect per 10,000 walked 16 author per 10,000 2 dialect per 10,000 sounds 16 author per 10,000 0 dialect per 10,000 tall 16 author per 10,000 1 dialect per 10,000 hadn't 16 author per 10,000 0 dialect per 10,000 been 16 author per 10,000 18 dialect per 10,000 responsible 16 author per 10,000 0 dialect per 10,000 bin 16 author per 10,000 0 dialect per 10,000 long 16 author per 10,000 7 dialect per 10,000 club 16 author per 10,000 0 dialect per 10,000 bellshill 16 author per 10,000 0 dialect per 10,000 i 16 author per 10,000 158 dialect per 10,000 widened 16 author per 10,000 0 dialect per 10,000 when 16 author per 10,000 23 dialect per 10,000 creature's 16 author per 10,000 0 dialect per 10,000 told 16 author per 10,000 0 dialect per 10,000 anywhere 16 author per 10,000 0 dialect per 10,000 to 16 author per 10,000 8 dialect per 10,000 whispered 16 author per 10,000 0 dialect per 10,000 next 16 author per 10,000 4 dialect per 10,000 i'm 16 author per 10,000 1 dialect per 10,000 hid 16 author per 10,000 91 dialect per 10,000 went 16 author per 10,000 1 dialect per 10,000 lik 16 author per 10,000 0 dialect per 10,000 want 16 author per 10,000 5 dialect per 10,000 just 16 author per 10,000 2 dialect per 10,000 their 16 author per 10,000 8 dialect per 10,000 believe 16 author per 10,000 1 dialect per 10,000 man 16 author per 10,000 12 dialect per 10,000 cawld 16 author per 10,000 0 dialect per 10,000 polis 16 author per 10,000 0 dialect per 10,000 phone 16 author per 10,000 2 dialect per 10,000 why 16 author per 10,000 4 dialect per 10,000 dunno 16 author per 10,000 0 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 we 16 author per 10,000 29 dialect per 10,000 is 16 author per 10,000 71 dialect per 10,000 maybe 16 author per 10,000 0 dialect per 10,000 plank 16 author per 10,000 0 dialect per 10,000 god 16 author per 10,000 2 dialect per 10,000 four 16 author per 10,000 1 dialect per 10,000 caught 16 author per 10,000 1 dialect per 10,000 ma 16 author per 10,000 1 dialect per 10,000 hauf 16 author per 10,000 0 dialect per 10,000 realised 8 author per 10,000 0 dialect per 10,000 pointed 8 author per 10,000 0 dialect per 10,000 where's 8 author per 10,000 0 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 kinda 8 author per 10,000 0 dialect per 10,000 panic 8 author per 10,000 0 dialect per 10,000 fully 8 author per 10,000 0 dialect per 10,000 minute 8 author per 10,000 0 dialect per 10,000 until 8 author per 10,000 2 dialect per 10,000 wit'd 8 author per 10,000 0 dialect per 10,000 wasnae 8 author per 10,000 0 dialect per 10,000 chill 8 author per 10,000 0 dialect per 10,000 ivry 8 author per 10,000 3 dialect per 10,000 sound 8 author per 10,000 0 dialect per 10,000 screechin 8 author per 10,000 0 dialect per 10,000 high-pitched 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 2 dialect per 10,000 seconds 8 author per 10,000 0 dialect per 10,000 wid 8 author per 10,000 20 dialect per 10,000 animal 8 author per 10,000 0 dialect per 10,000 white 8 author per 10,000 5 dialect per 10,000 remarked 8 author per 10,000 0 dialect per 10,000 nut 8 author per 10,000 1 dialect per 10,000 bewildered 8 author per 10,000 0 dialect per 10,000 arise 8 author per 10,000 0 dialect per 10,000 random 8 author per 10,000 0 dialect per 10,000 marching 8 author per 10,000 0 dialect per 10,000 band 8 author per 10,000 1 dialect per 10,000 you're 8 author per 10,000 4 dialect per 10,000 ten 8 author per 10,000 2 dialect per 10,000 goin 8 author per 10,000 0 dialect per 10,000 belt 8 author per 10,000 1 dialect per 10,000
Southern
the 537 author per 10,000 449 dialect per 10,000 tae 277 author per 10,000 206 dialect per 10,000 a 260 author per 10,000 230 dialect per 10,000 and 244 author per 10,000 33 dialect per 10,000 it 187 author per 10,000 63 dialect per 10,000 wis 163 author per 10,000 54 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 5 dialect per 10,000 ae 138 author per 10,000 67 dialect per 10,000 her 130 author per 10,000 17 dialect per 10,000 that 130 author per 10,000 65 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 91 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 107 dialect per 10,000 at 90 author per 10,000 69 dialect per 10,000 as 90 author per 10,000 50 dialect per 10,000 they 90 author per 10,000 31 dialect per 10,000 wit 81 author per 10,000 0 dialect per 10,000 night 65 author per 10,000 0 dialect per 10,000 said 57 author per 10,000 65 dialect per 10,000 e'er 57 author per 10,000 3 dialect per 10,000 wee 57 author per 10,000 23 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 19 dialect per 10,000 up 57 author per 10,000 41 dialect per 10,000 me 57 author per 10,000 16 dialect per 10,000 aw 57 author per 10,000 32 dialect per 10,000 be 49 author per 10,000 13 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 34 dialect per 10,000 here 49 author per 10,000 13 dialect per 10,000 he 49 author per 10,000 12 dialect per 10,000 asked 49 author per 10,000 3 dialect per 10,000 group 49 author per 10,000 1 dialect per 10,000 or 49 author per 10,000 22 dialect per 10,000 by 41 author per 10,000 5 dialect per 10,000 there 41 author per 10,000 16 dialect per 10,000 shouted 41 author per 10,000 2 dialect per 10,000 hing 41 author per 10,000 8 dialect per 10,000 but 41 author per 10,000 42 dialect per 10,000 doon 41 author per 10,000 24 dialect per 10,000 course 41 author per 10,000 4 dialect per 10,000 no 41 author per 10,000 28 dialect per 10,000 wan 33 author per 10,000 0 dialect per 10,000 for 33 author per 10,000 22 dialect per 10,000 git 33 author per 10,000 2 dialect per 10,000 us 33 author per 10,000 5 dialect per 10,000 were 33 author per 10,000 15 dialect per 10,000 yous 33 author per 10,000 0 dialect per 10,000 it's 33 author per 10,000 8 dialect per 10,000 huv 33 author per 10,000 0 dialect per 10,000 wae 33 author per 10,000 0 dialect per 10,000 if 33 author per 10,000 17 dialect per 10,000 liv 33 author per 10,000 0 dialect per 10,000 on 33 author per 10,000 55 dialect per 10,000 fence 33 author per 10,000 0 dialect per 10,000 only 33 author per 10,000 7 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 29 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 3 dialect per 10,000 get 24 author per 10,000 10 dialect per 10,000 help 24 author per 10,000 2 dialect per 10,000 drum 24 author per 10,000 0 dialect per 10,000 jist 24 author per 10,000 11 dialect per 10,000 had 24 author per 10,000 0 dialect per 10,000 country 24 author per 10,000 0 dialect per 10,000 couldnae 24 author per 10,000 3 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 1 dialect per 10,000 you 24 author per 10,000 3 dialect per 10,000 eyes 24 author per 10,000 4 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 0 dialect per 10,000 fae 24 author per 10,000 0 dialect per 10,000 like 24 author per 10,000 8 dialect per 10,000 aye 24 author per 10,000 11 dialect per 10,000 aff 24 author per 10,000 4 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 0 dialect per 10,000 good 24 author per 10,000 0 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 2 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 17 dialect per 10,000 except 16 author per 10,000 1 dialect per 10,000 sure 16 author per 10,000 1 dialect per 10,000 startit 16 author per 10,000 0 dialect per 10,000 again 16 author per 10,000 2 dialect per 10,000 sign 16 author per 10,000 1 dialect per 10,000 his 16 author per 10,000 37 dialect per 10,000 will 16 author per 10,000 3 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 4 dialect per 10,000 ahint 16 author per 10,000 5 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 1 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 soon 16 author per 10,000 1 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 1 dialect per 10,000 dae 16 author per 10,000 14 dialect per 10,000 was 16 author per 10,000 58 dialect per 10,000 rain 16 author per 10,000 2 dialect per 10,000 saturday 16 author per 10,000 0 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 1 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 10 dialect per 10,000 tryin 16 author per 10,000 2 dialect per 10,000 light 16 author per 10,000 1 dialect per 10,000 we're 16 author per 10,000 1 dialect per 10,000 meant 16 author per 10,000 1 dialect per 10,000 say 16 author per 10,000 17 dialect per 10,000 bein 16 author per 10,000 4 dialect per 10,000 noticed 16 author per 10,000 1 dialect per 10,000 intae 16 author per 10,000 10 dialect per 10,000 pals 16 author per 10,000 0 dialect per 10,000 look 16 author per 10,000 4 dialect per 10,000 take 16 author per 10,000 0 dialect per 10,000 same 16 author per 10,000 6 dialect per 10,000 walked 16 author per 10,000 1 dialect per 10,000 sounds 16 author per 10,000 0 dialect per 10,000 tall 16 author per 10,000 0 dialect per 10,000 hadn't 16 author per 10,000 0 dialect per 10,000 been 16 author per 10,000 10 dialect per 10,000 responsible 16 author per 10,000 0 dialect per 10,000 bin 16 author per 10,000 6 dialect per 10,000 long 16 author per 10,000 1 dialect per 10,000 club 16 author per 10,000 1 dialect per 10,000 bellshill 16 author per 10,000 0 dialect per 10,000 i 16 author per 10,000 74 dialect per 10,000 widened 16 author per 10,000 0 dialect per 10,000 when 16 author per 10,000 16 dialect per 10,000 creature's 16 author per 10,000 0 dialect per 10,000 told 16 author per 10,000 0 dialect per 10,000 anywhere 16 author per 10,000 0 dialect per 10,000 to 16 author per 10,000 1 dialect per 10,000 whispered 16 author per 10,000 1 dialect per 10,000 next 16 author per 10,000 5 dialect per 10,000 i'm 16 author per 10,000 1 dialect per 10,000 hid 16 author per 10,000 0 dialect per 10,000 went 16 author per 10,000 13 dialect per 10,000 lik 16 author per 10,000 16 dialect per 10,000 want 16 author per 10,000 3 dialect per 10,000 just 16 author per 10,000 3 dialect per 10,000 their 16 author per 10,000 14 dialect per 10,000 believe 16 author per 10,000 1 dialect per 10,000 man 16 author per 10,000 7 dialect per 10,000 cawld 16 author per 10,000 0 dialect per 10,000 polis 16 author per 10,000 1 dialect per 10,000 phone 16 author per 10,000 1 dialect per 10,000 why 16 author per 10,000 1 dialect per 10,000 dunno 16 author per 10,000 0 dialect per 10,000 side 16 author per 10,000 7 dialect per 10,000 we 16 author per 10,000 10 dialect per 10,000 is 16 author per 10,000 62 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 plank 16 author per 10,000 0 dialect per 10,000 god 16 author per 10,000 0 dialect per 10,000 four 16 author per 10,000 0 dialect per 10,000 caught 16 author per 10,000 1 dialect per 10,000 ma 16 author per 10,000 59 dialect per 10,000 hauf 16 author per 10,000 4 dialect per 10,000 realised 8 author per 10,000 0 dialect per 10,000 pointed 8 author per 10,000 0 dialect per 10,000 where's 8 author per 10,000 0 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 kinda 8 author per 10,000 0 dialect per 10,000 panic 8 author per 10,000 0 dialect per 10,000 fully 8 author per 10,000 0 dialect per 10,000 minute 8 author per 10,000 0 dialect per 10,000 until 8 author per 10,000 1 dialect per 10,000 wit'd 8 author per 10,000 0 dialect per 10,000 wasnae 8 author per 10,000 1 dialect per 10,000 chill 8 author per 10,000 0 dialect per 10,000 ivry 8 author per 10,000 0 dialect per 10,000 sound 8 author per 10,000 0 dialect per 10,000 screechin 8 author per 10,000 0 dialect per 10,000 high-pitched 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 2 dialect per 10,000 seconds 8 author per 10,000 0 dialect per 10,000 wid 8 author per 10,000 1 dialect per 10,000 animal 8 author per 10,000 0 dialect per 10,000 white 8 author per 10,000 6 dialect per 10,000 remarked 8 author per 10,000 1 dialect per 10,000 nut 8 author per 10,000 3 dialect per 10,000 bewildered 8 author per 10,000 0 dialect per 10,000 arise 8 author per 10,000 0 dialect per 10,000 random 8 author per 10,000 0 dialect per 10,000 marching 8 author per 10,000 0 dialect per 10,000 band 8 author per 10,000 2 dialect per 10,000 you're 8 author per 10,000 0 dialect per 10,000 ten 8 author per 10,000 2 dialect per 10,000 goin 8 author per 10,000 0 dialect per 10,000 belt 8 author per 10,000 0 dialect per 10,000 		Ulster
the 537 author per 10,000 345 dialect per 10,000 tae 277 author per 10,000 253 dialect per 10,000 a 260 author per 10,000 287 dialect per 10,000 and 244 author per 10,000 10 dialect per 10,000 it 187 author per 10,000 73 dialect per 10,000 wis 163 author per 10,000 1 dialect per 10,000 livvy 163 author per 10,000 0 dialect per 10,000 them 146 author per 10,000 8 dialect per 10,000 ae 138 author per 10,000 0 dialect per 10,000 her 130 author per 10,000 8 dialect per 10,000 that 130 author per 10,000 71 dialect per 10,000 liam 122 author per 10,000 0 dialect per 10,000 abby 122 author per 10,000 0 dialect per 10,000 she 114 author per 10,000 31 dialect per 10,000 lewis 106 author per 10,000 0 dialect per 10,000 emma 106 author per 10,000 0 dialect per 10,000 in 106 author per 10,000 121 dialect per 10,000 at 90 author per 10,000 58 dialect per 10,000 as 90 author per 10,000 31 dialect per 10,000 they 90 author per 10,000 26 dialect per 10,000 wit 81 author per 10,000 0 dialect per 10,000 night 65 author per 10,000 1 dialect per 10,000 said 57 author per 10,000 32 dialect per 10,000 e'er 57 author per 10,000 0 dialect per 10,000 wee 57 author per 10,000 27 dialect per 10,000 skinwalker 57 author per 10,000 0 dialect per 10,000 back 57 author per 10,000 2 dialect per 10,000 up 57 author per 10,000 32 dialect per 10,000 me 57 author per 10,000 24 dialect per 10,000 aw 57 author per 10,000 1 dialect per 10,000 be 49 author per 10,000 39 dialect per 10,000 yelled 49 author per 10,000 0 dialect per 10,000 · 49 author per 10,000 0 dialect per 10,000 oot 49 author per 10,000 49 dialect per 10,000 here 49 author per 10,000 10 dialect per 10,000 he 49 author per 10,000 62 dialect per 10,000 asked 49 author per 10,000 0 dialect per 10,000 group 49 author per 10,000 0 dialect per 10,000 or 49 author per 10,000 33 dialect per 10,000 by 41 author per 10,000 7 dialect per 10,000 there 41 author per 10,000 8 dialect per 10,000 shouted 41 author per 10,000 0 dialect per 10,000 hing 41 author per 10,000 0 dialect per 10,000 but 41 author per 10,000 41 dialect per 10,000 doon 41 author per 10,000 28 dialect per 10,000 course 41 author per 10,000 0 dialect per 10,000 no 41 author per 10,000 22 dialect per 10,000 wan 33 author per 10,000 0 dialect per 10,000 for 33 author per 10,000 30 dialect per 10,000 git 33 author per 10,000 6 dialect per 10,000 us 33 author per 10,000 4 dialect per 10,000 were 33 author per 10,000 4 dialect per 10,000 yous 33 author per 10,000 1 dialect per 10,000 it's 33 author per 10,000 14 dialect per 10,000 huv 33 author per 10,000 0 dialect per 10,000 wae 33 author per 10,000 11 dialect per 10,000 if 33 author per 10,000 14 dialect per 10,000 liv 33 author per 10,000 0 dialect per 10,000 on 33 author per 10,000 57 dialect per 10,000 fence 33 author per 10,000 0 dialect per 10,000 only 33 author per 10,000 3 dialect per 10,000 others 33 author per 10,000 0 dialect per 10,000 aboot 33 author per 10,000 27 dialect per 10,000 oi 33 author per 10,000 0 dialect per 10,000 wisnae 33 author per 10,000 0 dialect per 10,000 get 24 author per 10,000 9 dialect per 10,000 help 24 author per 10,000 2 dialect per 10,000 drum 24 author per 10,000 0 dialect per 10,000 jist 24 author per 10,000 8 dialect per 10,000 had 24 author per 10,000 22 dialect per 10,000 country 24 author per 10,000 1 dialect per 10,000 couldnae 24 author per 10,000 0 dialect per 10,000 guard 24 author per 10,000 0 dialect per 10,000 happened 24 author per 10,000 0 dialect per 10,000 you 24 author per 10,000 5 dialect per 10,000 eyes 24 author per 10,000 1 dialect per 10,000 screamed 24 author per 10,000 0 dialect per 10,000 poor 24 author per 10,000 1 dialect per 10,000 fae 24 author per 10,000 13 dialect per 10,000 like 24 author per 10,000 9 dialect per 10,000 aye 24 author per 10,000 13 dialect per 10,000 aff 24 author per 10,000 14 dialect per 10,000 livvy's 24 author per 10,000 0 dialect per 10,000 all 24 author per 10,000 3 dialect per 10,000 good 24 author per 10,000 0 dialect per 10,000 golf 24 author per 10,000 0 dialect per 10,000 spoke 24 author per 10,000 1 dialect per 10,000 accompanied 24 author per 10,000 0 dialect per 10,000 yer 16 author per 10,000 37 dialect per 10,000 except 16 author per 10,000 0 dialect per 10,000 sure 16 author per 10,000 4 dialect per 10,000 startit 16 author per 10,000 0 dialect per 10,000 again 16 author per 10,000 3 dialect per 10,000 sign 16 author per 10,000 1 dialect per 10,000 his 16 author per 10,000 25 dialect per 10,000 will 16 author per 10,000 2 dialect per 10,000 scratched 16 author per 10,000 0 dialect per 10,000 name 16 author per 10,000 6 dialect per 10,000 ahint 16 author per 10,000 2 dialect per 10,000 once 16 author per 10,000 0 dialect per 10,000 whilst 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 2 dialect per 10,000 soon 16 author per 10,000 2 dialect per 10,000 ow 16 author per 10,000 0 dialect per 10,000 beat 16 author per 10,000 0 dialect per 10,000 dae 16 author per 10,000 23 dialect per 10,000 was 16 author per 10,000 22 dialect per 10,000 rain 16 author per 10,000 1 dialect per 10,000 saturday 16 author per 10,000 0 dialect per 10,000 flashlight 16 author per 10,000 0 dialect per 10,000 thought 16 author per 10,000 0 dialect per 10,000 figurr 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 9 dialect per 10,000 tryin 16 author per 10,000 1 dialect per 10,000 light 16 author per 10,000 0 dialect per 10,000 we're 16 author per 10,000 1 dialect per 10,000 meant 16 author per 10,000 0 dialect per 10,000 say 16 author per 10,000 10 dialect per 10,000 bein 16 author per 10,000 4 dialect per 10,000 noticed 16 author per 10,000 0 dialect per 10,000 intae 16 author per 10,000 14 dialect per 10,000 pals 16 author per 10,000 0 dialect per 10,000 look 16 author per 10,000 1 dialect per 10,000 take 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 5 dialect per 10,000 walked 16 author per 10,000 0 dialect per 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