A Corpus of 21st Century Scots Texts

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Pacitti, Stephen


Total words by this author in corpus - 18,139
Total unique words used by this author in corpus - 3,210
Ratio of total words to unique words - 5.651
Top ten most common words - the, an, a, wis, ah, he, o, in, that, tae,

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 493 author per 10,000 561 dialect per 10,000 an 388 author per 10,000 212 dialect per 10,000 a 303 author per 10,000 262 dialect per 10,000 wis 180 author per 10,000 99 dialect per 10,000 ah 158 author per 10,000 80 dialect per 10,000 he 157 author per 10,000 92 dialect per 10,000 o 152 author per 10,000 189 dialect per 10,000 in 137 author per 10,000 148 dialect per 10,000 that 134 author per 10,000 108 dialect per 10,000 tae 130 author per 10,000 211 dialect per 10,000 it 125 author per 10,000 118 dialect per 10,000 ye 117 author per 10,000 59 dialect per 10,000 his 110 author per 10,000 56 dialect per 10,000 ' 79 author per 10,000 53 dialect per 10,000 on 77 author per 10,000 55 dialect per 10,000 for 75 author per 10,000 47 dialect per 10,000 aa 75 author per 10,000 12 dialect per 10,000 wi 73 author per 10,000 65 dialect per 10,000 said 68 author per 10,000 42 dialect per 10,000 nae 67 author per 10,000 22 dialect per 10,000 fit 67 author per 10,000 2 dialect per 10,000 at 60 author per 10,000 58 dialect per 10,000 ti 58 author per 10,000 19 dialect per 10,000 oot 56 author per 10,000 40 dialect per 10,000 him 51 author per 10,000 30 dialect per 10,000 me 50 author per 10,000 40 dialect per 10,000 bit 49 author per 10,000 15 dialect per 10,000 be 47 author per 10,000 49 dialect per 10,000 up 42 author per 10,000 40 dialect per 10,000 they 42 author per 10,000 43 dialect per 10,000 she 42 author per 10,000 55 dialect per 10,000 but 41 author per 10,000 48 dialect per 10,000 - 41 author per 10,000 27 dialect per 10,000 there 40 author per 10,000 25 dialect per 10,000 € 39 author per 10,000 27 dialect per 10,000 jist 38 author per 10,000 22 dialect per 10,000 aboot 38 author per 10,000 30 dialect per 10,000 or 38 author per 10,000 29 dialect per 10,000 we 37 author per 10,000 35 dialect per 10,000 ower 37 author per 10,000 18 dialect per 10,000 fae 35 author per 10,000 27 dialect per 10,000 yer 35 author per 10,000 18 dialect per 10,000 like 34 author per 10,000 27 dialect per 10,000 fan 34 author per 10,000 0 dialect per 10,000 as 34 author per 10,000 60 dialect per 10,000 this 34 author per 10,000 43 dialect per 10,000 doon 31 author per 10,000 18 dialect per 10,000 pit 31 author per 10,000 9 dialect per 10,000 day 30 author per 10,000 14 dialect per 10,000 hae 30 author per 10,000 22 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 16 dialect per 10,000 mi 29 author per 10,000 0 dialect per 10,000 got 29 author per 10,000 12 dialect per 10,000 mair 29 author per 10,000 20 dialect per 10,000 been 28 author per 10,000 19 dialect per 10,000 weel 27 author per 10,000 9 dialect per 10,000 her 26 author per 10,000 45 dialect per 10,000 richt 26 author per 10,000 12 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 had 25 author per 10,000 24 dialect per 10,000 abbie 25 author per 10,000 0 dialect per 10,000 is 24 author per 10,000 60 dialect per 10,000 noo 24 author per 10,000 13 dialect per 10,000 you 24 author per 10,000 16 dialect per 10,000 nivver 23 author per 10,000 2 dialect per 10,000 didna 23 author per 10,000 5 dialect per 10,000 ma 23 author per 10,000 52 dialect per 10,000 see 23 author per 10,000 17 dialect per 10,000 ken 22 author per 10,000 14 dialect per 10,000 na 22 author per 10,000 1 dialect per 10,000 hoose 22 author per 10,000 7 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 lik 21 author per 10,000 5 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 8 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 chairlie 20 author per 10,000 2 dialect per 10,000 €™s 20 author per 10,000 36 dialect per 10,000 hid 20 author per 10,000 1 dialect per 10,000 it's 20 author per 10,000 16 dialect per 10,000 their 20 author per 10,000 18 dialect per 10,000 wee 19 author per 10,000 27 dialect per 10,000 back 19 author per 10,000 20 dialect per 10,000 did 19 author per 10,000 8 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 awa 19 author per 10,000 11 dialect per 10,000 een 19 author per 10,000 5 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 time 18 author per 10,000 17 dialect per 10,000 far 18 author per 10,000 2 dialect per 10,000 wad 18 author per 10,000 8 dialect per 10,000 heid 18 author per 10,000 10 dialect per 10,000 man 18 author per 10,000 10 dialect per 10,000 wid 18 author per 10,000 9 dialect per 10,000 nor 17 author per 10,000 6 dialect per 10,000 syne 17 author per 10,000 6 dialect per 10,000 bi 17 author per 10,000 10 dialect per 10,000 dae 17 author per 10,000 17 dialect per 10,000 if 17 author per 10,000 18 dialect per 10,000 faither 17 author per 10,000 4 dialect per 10,000 says 17 author per 10,000 7 dialect per 10,000 jeems 17 author per 10,000 0 dialect per 10,000 cam 17 author per 10,000 8 dialect per 10,000 dinna 17 author per 10,000 4 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 9 dialect per 10,000 could 16 author per 10,000 10 dialect per 10,000 aal 16 author per 10,000 0 dialect per 10,000 ay 15 author per 10,000 11 dialect per 10,000 intae 15 author per 10,000 18 dialect per 10,000 come 15 author per 10,000 9 dialect per 10,000 gied 15 author per 10,000 5 dialect per 10,000 mak 14 author per 10,000 8 dialect per 10,000 efter 14 author per 10,000 10 dialect per 10,000 thocht 14 author per 10,000 8 dialect per 10,000 can 14 author per 10,000 15 dialect per 10,000 aye 14 author per 10,000 15 dialect per 10,000 get 14 author per 10,000 15 dialect per 10,000 wisna 13 author per 10,000 3 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 3 dialect per 10,000 lang 13 author per 10,000 9 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 looked 12 author per 10,000 3 dialect per 10,000 wir 12 author per 10,000 4 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 aff 12 author per 10,000 14 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 5 dialect per 10,000 and 12 author per 10,000 107 dialect per 10,000 wye 12 author per 10,000 0 dialect per 10,000 wey 12 author per 10,000 12 dialect per 10,000 again 12 author per 10,000 8 dialect per 10,000 of 11 author per 10,000 10 dialect per 10,000 gaan 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 38 dialect per 10,000 fowk 10 author per 10,000 13 dialect per 10,000 couldna 10 author per 10,000 1 dialect per 10,000 here 10 author per 10,000 12 dialect per 10,000 ah'm 10 author per 10,000 6 dialect per 10,000 gie 10 author per 10,000 7 dialect per 10,000 ye've 10 author per 10,000 1 dialect per 10,000 sae 10 author per 10,000 16 dialect per 10,000 roon 10 author per 10,000 3 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 5 dialect per 10,000 took 10 author per 10,000 3 dialect per 10,000 year 10 author per 10,000 7 dialect per 10,000 till 10 author per 10,000 3 dialect per 10,000 ah've 10 author per 10,000 3 dialect per 10,000 to 10 author per 10,000 9 dialect per 10,000 face 10 author per 10,000 5 dialect per 10,000 think 10 author per 10,000 9 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 8 dialect per 10,000 fine 10 author per 10,000 3 dialect per 10,000 its 10 author per 10,000 11 dialect per 10,000 word 10 author per 10,000 2 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 15 dialect per 10,000 hissel 9 author per 10,000 2 dialect per 10,000 was 9 author per 10,000 7 dialect per 10,000 kent 9 author per 10,000 6 dialect per 10,000 fair 9 author per 10,000 3 dialect per 10,000 widna 9 author per 10,000 0 dialect per 10,000 telt 9 author per 10,000 5 dialect per 10,000 peer 9 author per 10,000 0 dialect per 10,000 o't 9 author per 10,000 0 dialect per 10,000 winna 9 author per 10,000 1 dialect per 10,000 near 9 author per 10,000 3 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 ahin 9 author per 10,000 0 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 18 dialect per 10,000 meenit 9 author per 10,000 1 dialect per 10,000 ae 8 author per 10,000 21 dialect per 10,000 wint 8 author per 10,000 1 dialect per 10,000 that's 8 author per 10,000 9 dialect per 10,000 onythin 8 author per 10,000 2 dialect per 10,000 gin 8 author per 10,000 7 dialect per 10,000 canna 8 author per 10,000 3 dialect per 10,000 ither 8 author per 10,000 11 dialect per 10,000 fa 8 author per 10,000 0 dialect per 10,000 fleer 8 author per 10,000 0 dialect per 10,000 anither 8 author per 10,000 6 dialect per 10,000 went 8 author per 10,000 7 dialect per 10,000 cos 8 author per 10,000 1 dialect per 10,000 life 8 author per 10,000 6 dialect per 10,000 goad 8 author per 10,000 0 dialect per 10,000 made 8 author per 10,000 7 dialect per 10,000 nummer 8 author per 10,000 2 dialect per 10,000 things 8 author per 10,000 6 dialect per 10,000 days 8 author per 10,000 5 dialect per 10,000 sir 8 author per 10,000 1 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 4 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 2 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000 		Doric
the 493 author per 10,000 465 dialect per 10,000 an 388 author per 10,000 307 dialect per 10,000 a 303 author per 10,000 296 dialect per 10,000 wis 180 author per 10,000 101 dialect per 10,000 ah 158 author per 10,000 39 dialect per 10,000 he 157 author per 10,000 94 dialect per 10,000 o 152 author per 10,000 182 dialect per 10,000 in 137 author per 10,000 134 dialect per 10,000 that 134 author per 10,000 47 dialect per 10,000 tae 130 author per 10,000 166 dialect per 10,000 it 125 author per 10,000 102 dialect per 10,000 ye 117 author per 10,000 93 dialect per 10,000 his 110 author per 10,000 70 dialect per 10,000 ' 79 author per 10,000 12 dialect per 10,000 on 77 author per 10,000 66 dialect per 10,000 for 75 author per 10,000 43 dialect per 10,000 aa 75 author per 10,000 41 dialect per 10,000 wi 73 author per 10,000 82 dialect per 10,000 said 68 author per 10,000 38 dialect per 10,000 nae 67 author per 10,000 48 dialect per 10,000 fit 67 author per 10,000 41 dialect per 10,000 at 60 author per 10,000 70 dialect per 10,000 ti 58 author per 10,000 4 dialect per 10,000 oot 56 author per 10,000 48 dialect per 10,000 him 51 author per 10,000 32 dialect per 10,000 me 50 author per 10,000 29 dialect per 10,000 bit 49 author per 10,000 42 dialect per 10,000 be 47 author per 10,000 46 dialect per 10,000 up 42 author per 10,000 45 dialect per 10,000 they 42 author per 10,000 38 dialect per 10,000 she 42 author per 10,000 75 dialect per 10,000 but 41 author per 10,000 22 dialect per 10,000 - 41 author per 10,000 25 dialect per 10,000 there 40 author per 10,000 22 dialect per 10,000 € 39 author per 10,000 16 dialect per 10,000 jist 38 author per 10,000 36 dialect per 10,000 aboot 38 author per 10,000 33 dialect per 10,000 or 38 author per 10,000 25 dialect per 10,000 we 37 author per 10,000 20 dialect per 10,000 ower 37 author per 10,000 28 dialect per 10,000 fae 35 author per 10,000 27 dialect per 10,000 yer 35 author per 10,000 35 dialect per 10,000 like 34 author per 10,000 41 dialect per 10,000 fan 34 author per 10,000 17 dialect per 10,000 as 34 author per 10,000 56 dialect per 10,000 this 34 author per 10,000 17 dialect per 10,000 doon 31 author per 10,000 34 dialect per 10,000 pit 31 author per 10,000 8 dialect per 10,000 day 30 author per 10,000 28 dialect per 10,000 hae 30 author per 10,000 19 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 12 dialect per 10,000 mi 29 author per 10,000 0 dialect per 10,000 got 29 author per 10,000 13 dialect per 10,000 mair 29 author per 10,000 17 dialect per 10,000 been 28 author per 10,000 12 dialect per 10,000 weel 27 author per 10,000 18 dialect per 10,000 her 26 author per 10,000 70 dialect per 10,000 richt 26 author per 10,000 18 dialect per 10,000 say 25 author per 10,000 15 dialect per 10,000 had 25 author per 10,000 2 dialect per 10,000 abbie 25 author per 10,000 1 dialect per 10,000 is 24 author per 10,000 43 dialect per 10,000 noo 24 author per 10,000 21 dialect per 10,000 you 24 author per 10,000 18 dialect per 10,000 nivver 23 author per 10,000 7 dialect per 10,000 didna 23 author per 10,000 10 dialect per 10,000 ma 23 author per 10,000 47 dialect per 10,000 see 23 author per 10,000 22 dialect per 10,000 ken 22 author per 10,000 23 dialect per 10,000 na 22 author per 10,000 6 dialect per 10,000 hoose 22 author per 10,000 11 dialect per 10,000 them 22 author per 10,000 25 dialect per 10,000 lik 21 author per 10,000 2 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 8 dialect per 10,000 affa 21 author per 10,000 13 dialect per 10,000 chairlie 20 author per 10,000 0 dialect per 10,000 €™s 20 author per 10,000 21 dialect per 10,000 hid 20 author per 10,000 35 dialect per 10,000 it's 20 author per 10,000 22 dialect per 10,000 their 20 author per 10,000 20 dialect per 10,000 wee 19 author per 10,000 18 dialect per 10,000 back 19 author per 10,000 22 dialect per 10,000 did 19 author per 10,000 9 dialect per 10,000 twa 19 author per 10,000 18 dialect per 10,000 awa 19 author per 10,000 22 dialect per 10,000 een 19 author per 10,000 20 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 time 18 author per 10,000 20 dialect per 10,000 far 18 author per 10,000 14 dialect per 10,000 wad 18 author per 10,000 8 dialect per 10,000 heid 18 author per 10,000 12 dialect per 10,000 man 18 author per 10,000 6 dialect per 10,000 wid 18 author per 10,000 17 dialect per 10,000 nor 17 author per 10,000 5 dialect per 10,000 syne 17 author per 10,000 12 dialect per 10,000 bi 17 author per 10,000 17 dialect per 10,000 dae 17 author per 10,000 5 dialect per 10,000 if 17 author per 10,000 18 dialect per 10,000 faither 17 author per 10,000 4 dialect per 10,000 says 17 author per 10,000 10 dialect per 10,000 jeems 17 author per 10,000 0 dialect per 10,000 cam 17 author per 10,000 12 dialect per 10,000 dinna 17 author per 10,000 18 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 14 dialect per 10,000 could 16 author per 10,000 8 dialect per 10,000 aal 16 author per 10,000 2 dialect per 10,000 ay 15 author per 10,000 6 dialect per 10,000 intae 15 author per 10,000 10 dialect per 10,000 come 15 author per 10,000 14 dialect per 10,000 gied 15 author per 10,000 4 dialect per 10,000 mak 14 author per 10,000 8 dialect per 10,000 efter 14 author per 10,000 10 dialect per 10,000 thocht 14 author per 10,000 13 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 aye 14 author per 10,000 20 dialect per 10,000 get 14 author per 10,000 15 dialect per 10,000 wisna 13 author per 10,000 6 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 5 dialect per 10,000 lang 13 author per 10,000 13 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 looked 12 author per 10,000 3 dialect per 10,000 wir 12 author per 10,000 4 dialect per 10,000 big 12 author per 10,000 5 dialect per 10,000 aff 12 author per 10,000 13 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 7 dialect per 10,000 and 12 author per 10,000 44 dialect per 10,000 wye 12 author per 10,000 13 dialect per 10,000 wey 12 author per 10,000 1 dialect per 10,000 again 12 author per 10,000 11 dialect per 10,000 of 11 author per 10,000 7 dialect per 10,000 gaan 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 75 dialect per 10,000 fowk 10 author per 10,000 13 dialect per 10,000 couldna 10 author per 10,000 2 dialect per 10,000 here 10 author per 10,000 11 dialect per 10,000 ah'm 10 author per 10,000 8 dialect per 10,000 gie 10 author per 10,000 7 dialect per 10,000 ye've 10 author per 10,000 3 dialect per 10,000 sae 10 author per 10,000 16 dialect per 10,000 roon 10 author per 10,000 11 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 12 dialect per 10,000 took 10 author per 10,000 3 dialect per 10,000 year 10 author per 10,000 5 dialect per 10,000 till 10 author per 10,000 33 dialect per 10,000 ah've 10 author per 10,000 2 dialect per 10,000 to 10 author per 10,000 8 dialect per 10,000 face 10 author per 10,000 7 dialect per 10,000 think 10 author per 10,000 12 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 9 dialect per 10,000 fine 10 author per 10,000 12 dialect per 10,000 its 10 author per 10,000 7 dialect per 10,000 word 10 author per 10,000 1 dialect per 10,000 ging 10 author per 10,000 4 dialect per 10,000 us 9 author per 10,000 6 dialect per 10,000 hissel 9 author per 10,000 1 dialect per 10,000 was 9 author per 10,000 5 dialect per 10,000 kent 9 author per 10,000 8 dialect per 10,000 fair 9 author per 10,000 8 dialect per 10,000 widna 9 author per 10,000 4 dialect per 10,000 telt 9 author per 10,000 8 dialect per 10,000 peer 9 author per 10,000 2 dialect per 10,000 o't 9 author per 10,000 2 dialect per 10,000 winna 9 author per 10,000 4 dialect per 10,000 near 9 author per 10,000 6 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 ahin 9 author per 10,000 3 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 14 dialect per 10,000 meenit 9 author per 10,000 1 dialect per 10,000 ae 8 author per 10,000 8 dialect per 10,000 wint 8 author per 10,000 8 dialect per 10,000 that's 8 author per 10,000 1 dialect per 10,000 onythin 8 author per 10,000 3 dialect per 10,000 gin 8 author per 10,000 8 dialect per 10,000 canna 8 author per 10,000 8 dialect per 10,000 ither 8 author per 10,000 8 dialect per 10,000 fa 8 author per 10,000 10 dialect per 10,000 fleer 8 author per 10,000 2 dialect per 10,000 anither 8 author per 10,000 7 dialect per 10,000 went 8 author per 10,000 5 dialect per 10,000 cos 8 author per 10,000 1 dialect per 10,000 life 8 author per 10,000 6 dialect per 10,000 goad 8 author per 10,000 1 dialect per 10,000 made 8 author per 10,000 8 dialect per 10,000 nummer 8 author per 10,000 0 dialect per 10,000 things 8 author per 10,000 7 dialect per 10,000 days 8 author per 10,000 5 dialect per 10,000 sir 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 8 dialect per 10,000 though 8 author per 10,000 3 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 3 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000
Shetland
the 493 author per 10,000 18 dialect per 10,000 an 388 author per 10,000 330 dialect per 10,000 a 303 author per 10,000 280 dialect per 10,000 wis 180 author per 10,000 161 dialect per 10,000 ah 158 author per 10,000 0 dialect per 10,000 he 157 author per 10,000 103 dialect per 10,000 o 152 author per 10,000 177 dialect per 10,000 in 137 author per 10,000 105 dialect per 10,000 that 134 author per 10,000 4 dialect per 10,000 tae 130 author per 10,000 86 dialect per 10,000 it 125 author per 10,000 58 dialect per 10,000 ye 117 author per 10,000 0 dialect per 10,000 his 110 author per 10,000 52 dialect per 10,000 ' 79 author per 10,000 23 dialect per 10,000 on 77 author per 10,000 52 dialect per 10,000 for 75 author per 10,000 35 dialect per 10,000 aa 75 author per 10,000 51 dialect per 10,000 wi 73 author per 10,000 95 dialect per 10,000 said 68 author per 10,000 61 dialect per 10,000 nae 67 author per 10,000 23 dialect per 10,000 fit 67 author per 10,000 4 dialect per 10,000 at 60 author per 10,000 112 dialect per 10,000 ti 58 author per 10,000 0 dialect per 10,000 oot 56 author per 10,000 42 dialect per 10,000 him 51 author per 10,000 47 dialect per 10,000 me 50 author per 10,000 41 dialect per 10,000 bit 49 author per 10,000 38 dialect per 10,000 be 47 author per 10,000 55 dialect per 10,000 up 42 author per 10,000 42 dialect per 10,000 they 42 author per 10,000 2 dialect per 10,000 she 42 author per 10,000 7 dialect per 10,000 but 41 author per 10,000 28 dialect per 10,000 - 41 author per 10,000 53 dialect per 10,000 there 40 author per 10,000 1 dialect per 10,000 € 39 author per 10,000 17 dialect per 10,000 jist 38 author per 10,000 0 dialect per 10,000 aboot 38 author per 10,000 41 dialect per 10,000 or 38 author per 10,000 32 dialect per 10,000 we 37 author per 10,000 43 dialect per 10,000 ower 37 author per 10,000 24 dialect per 10,000 fae 35 author per 10,000 40 dialect per 10,000 yer 35 author per 10,000 0 dialect per 10,000 like 34 author per 10,000 2 dialect per 10,000 fan 34 author per 10,000 6 dialect per 10,000 as 34 author per 10,000 79 dialect per 10,000 this 34 author per 10,000 1 dialect per 10,000 doon 31 author per 10,000 23 dialect per 10,000 pit 31 author per 10,000 6 dialect per 10,000 day 30 author per 10,000 18 dialect per 10,000 hae 30 author per 10,000 25 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 3 dialect per 10,000 mi 29 author per 10,000 3 dialect per 10,000 got 29 author per 10,000 8 dialect per 10,000 mair 29 author per 10,000 19 dialect per 10,000 been 28 author per 10,000 16 dialect per 10,000 weel 27 author per 10,000 18 dialect per 10,000 her 26 author per 10,000 64 dialect per 10,000 richt 26 author per 10,000 13 dialect per 10,000 say 25 author per 10,000 11 dialect per 10,000 had 25 author per 10,000 2 dialect per 10,000 abbie 25 author per 10,000 0 dialect per 10,000 is 24 author per 10,000 81 dialect per 10,000 noo 24 author per 10,000 19 dialect per 10,000 you 24 author per 10,000 51 dialect per 10,000 nivver 23 author per 10,000 7 dialect per 10,000 didna 23 author per 10,000 10 dialect per 10,000 ma 23 author per 10,000 0 dialect per 10,000 see 23 author per 10,000 20 dialect per 10,000 ken 22 author per 10,000 14 dialect per 10,000 na 22 author per 10,000 4 dialect per 10,000 hoose 22 author per 10,000 8 dialect per 10,000 them 22 author per 10,000 1 dialect per 10,000 lik 21 author per 10,000 10 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 8 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 chairlie 20 author per 10,000 0 dialect per 10,000 €™s 20 author per 10,000 16 dialect per 10,000 hid 20 author per 10,000 1 dialect per 10,000 it's 20 author per 10,000 8 dialect per 10,000 their 20 author per 10,000 1 dialect per 10,000 wee 19 author per 10,000 0 dialect per 10,000 back 19 author per 10,000 18 dialect per 10,000 did 19 author per 10,000 9 dialect per 10,000 twa 19 author per 10,000 13 dialect per 10,000 awa 19 author per 10,000 13 dialect per 10,000 een 19 author per 10,000 20 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 time 18 author per 10,000 21 dialect per 10,000 far 18 author per 10,000 6 dialect per 10,000 wad 18 author per 10,000 1 dialect per 10,000 heid 18 author per 10,000 2 dialect per 10,000 man 18 author per 10,000 17 dialect per 10,000 wid 18 author per 10,000 38 dialect per 10,000 nor 17 author per 10,000 3 dialect per 10,000 syne 17 author per 10,000 1 dialect per 10,000 bi 17 author per 10,000 10 dialect per 10,000 dae 17 author per 10,000 2 dialect per 10,000 if 17 author per 10,000 25 dialect per 10,000 faither 17 author per 10,000 0 dialect per 10,000 says 17 author per 10,000 5 dialect per 10,000 jeems 17 author per 10,000 1 dialect per 10,000 cam 17 author per 10,000 23 dialect per 10,000 dinna 17 author per 10,000 0 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 15 dialect per 10,000 could 16 author per 10,000 12 dialect per 10,000 aal 16 author per 10,000 0 dialect per 10,000 ay 15 author per 10,000 1 dialect per 10,000 intae 15 author per 10,000 8 dialect per 10,000 come 15 author per 10,000 19 dialect per 10,000 gied 15 author per 10,000 8 dialect per 10,000 mak 14 author per 10,000 12 dialect per 10,000 efter 14 author per 10,000 9 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 20 dialect per 10,000 aye 14 author per 10,000 11 dialect per 10,000 get 14 author per 10,000 6 dialect per 10,000 wisna 13 author per 10,000 9 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 1 dialect per 10,000 lang 13 author per 10,000 11 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 looked 12 author per 10,000 0 dialect per 10,000 wir 12 author per 10,000 49 dialect per 10,000 big 12 author per 10,000 3 dialect per 10,000 aff 12 author per 10,000 18 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 6 dialect per 10,000 and 12 author per 10,000 15 dialect per 10,000 wye 12 author per 10,000 24 dialect per 10,000 wey 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 5 dialect per 10,000 of 11 author per 10,000 11 dialect per 10,000 gaan 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 143 dialect per 10,000 fowk 10 author per 10,000 0 dialect per 10,000 couldna 10 author per 10,000 4 dialect per 10,000 here 10 author per 10,000 11 dialect per 10,000 ah'm 10 author per 10,000 6 dialect per 10,000 gie 10 author per 10,000 9 dialect per 10,000 ye've 10 author per 10,000 0 dialect per 10,000 sae 10 author per 10,000 8 dialect per 10,000 roon 10 author per 10,000 0 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 3 dialect per 10,000 took 10 author per 10,000 9 dialect per 10,000 year 10 author per 10,000 7 dialect per 10,000 till 10 author per 10,000 7 dialect per 10,000 ah've 10 author per 10,000 0 dialect per 10,000 to 10 author per 10,000 8 dialect per 10,000 face 10 author per 10,000 6 dialect per 10,000 think 10 author per 10,000 1 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 12 dialect per 10,000 fine 10 author per 10,000 7 dialect per 10,000 its 10 author per 10,000 3 dialect per 10,000 word 10 author per 10,000 1 dialect per 10,000 ging 10 author per 10,000 1 dialect per 10,000 us 9 author per 10,000 0 dialect per 10,000 hissel 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 3 dialect per 10,000 kent 9 author per 10,000 10 dialect per 10,000 fair 9 author per 10,000 1 dialect per 10,000 widna 9 author per 10,000 5 dialect per 10,000 telt 9 author per 10,000 7 dialect per 10,000 peer 9 author per 10,000 0 dialect per 10,000 o't 9 author per 10,000 0 dialect per 10,000 winna 9 author per 10,000 1 dialect per 10,000 near 9 author per 10,000 2 dialect per 10,000 thing 9 author per 10,000 6 dialect per 10,000 ahin 9 author per 10,000 0 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 2 dialect per 10,000 meenit 9 author per 10,000 3 dialect per 10,000 ae 8 author per 10,000 1 dialect per 10,000 wint 8 author per 10,000 4 dialect per 10,000 that's 8 author per 10,000 0 dialect per 10,000 onythin 8 author per 10,000 1 dialect per 10,000 gin 8 author per 10,000 0 dialect per 10,000 canna 8 author per 10,000 9 dialect per 10,000 ither 8 author per 10,000 0 dialect per 10,000 fa 8 author per 10,000 0 dialect per 10,000 fleer 8 author per 10,000 0 dialect per 10,000 anither 8 author per 10,000 0 dialect per 10,000 went 8 author per 10,000 0 dialect per 10,000 cos 8 author per 10,000 0 dialect per 10,000 life 8 author per 10,000 7 dialect per 10,000 goad 8 author per 10,000 0 dialect per 10,000 made 8 author per 10,000 1 dialect per 10,000 nummer 8 author per 10,000 0 dialect per 10,000 things 8 author per 10,000 7 dialect per 10,000 days 8 author per 10,000 3 dialect per 10,000 sir 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 11 dialect per 10,000 though 8 author per 10,000 1 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 2 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000 		Orkney
the 493 author per 10,000 581 dialect per 10,000 an 388 author per 10,000 179 dialect per 10,000 a 303 author per 10,000 296 dialect per 10,000 wis 180 author per 10,000 79 dialect per 10,000 ah 158 author per 10,000 2 dialect per 10,000 he 157 author per 10,000 88 dialect per 10,000 o 152 author per 10,000 199 dialect per 10,000 in 137 author per 10,000 147 dialect per 10,000 that 134 author per 10,000 75 dialect per 10,000 tae 130 author per 10,000 222 dialect per 10,000 it 125 author per 10,000 23 dialect per 10,000 ye 117 author per 10,000 17 dialect per 10,000 his 110 author per 10,000 63 dialect per 10,000 ' 79 author per 10,000 10 dialect per 10,000 on 77 author per 10,000 73 dialect per 10,000 for 75 author per 10,000 24 dialect per 10,000 aa 75 author per 10,000 8 dialect per 10,000 wi 73 author per 10,000 48 dialect per 10,000 said 68 author per 10,000 15 dialect per 10,000 nae 67 author per 10,000 3 dialect per 10,000 fit 67 author per 10,000 1 dialect per 10,000 at 60 author per 10,000 53 dialect per 10,000 ti 58 author per 10,000 0 dialect per 10,000 oot 56 author per 10,000 51 dialect per 10,000 him 51 author per 10,000 21 dialect per 10,000 me 50 author per 10,000 111 dialect per 10,000 bit 49 author per 10,000 48 dialect per 10,000 be 47 author per 10,000 42 dialect per 10,000 up 42 author per 10,000 33 dialect per 10,000 they 42 author per 10,000 35 dialect per 10,000 she 42 author per 10,000 8 dialect per 10,000 but 41 author per 10,000 28 dialect per 10,000 - 41 author per 10,000 78 dialect per 10,000 there 40 author per 10,000 18 dialect per 10,000 € 39 author per 10,000 5 dialect per 10,000 jist 38 author per 10,000 3 dialect per 10,000 aboot 38 author per 10,000 26 dialect per 10,000 or 38 author per 10,000 30 dialect per 10,000 we 37 author per 10,000 30 dialect per 10,000 ower 37 author per 10,000 18 dialect per 10,000 fae 35 author per 10,000 37 dialect per 10,000 yer 35 author per 10,000 7 dialect per 10,000 like 34 author per 10,000 31 dialect per 10,000 fan 34 author per 10,000 0 dialect per 10,000 as 34 author per 10,000 48 dialect per 10,000 this 34 author per 10,000 35 dialect per 10,000 doon 31 author per 10,000 28 dialect per 10,000 pit 31 author per 10,000 5 dialect per 10,000 day 30 author per 10,000 21 dialect per 10,000 hae 30 author per 10,000 12 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 7 dialect per 10,000 mi 29 author per 10,000 0 dialect per 10,000 got 29 author per 10,000 12 dialect per 10,000 mair 29 author per 10,000 1 dialect per 10,000 been 28 author per 10,000 18 dialect per 10,000 weel 27 author per 10,000 18 dialect per 10,000 her 26 author per 10,000 48 dialect per 10,000 richt 26 author per 10,000 0 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 had 25 author per 10,000 2 dialect per 10,000 abbie 25 author per 10,000 0 dialect per 10,000 is 24 author per 10,000 73 dialect per 10,000 noo 24 author per 10,000 27 dialect per 10,000 you 24 author per 10,000 33 dialect per 10,000 nivver 23 author per 10,000 8 dialect per 10,000 didna 23 author per 10,000 9 dialect per 10,000 ma 23 author per 10,000 1 dialect per 10,000 see 23 author per 10,000 16 dialect per 10,000 ken 22 author per 10,000 15 dialect per 10,000 na 22 author per 10,000 1 dialect per 10,000 hoose 22 author per 10,000 11 dialect per 10,000 them 22 author per 10,000 17 dialect per 10,000 lik 21 author per 10,000 0 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 6 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 chairlie 20 author per 10,000 0 dialect per 10,000 €™s 20 author per 10,000 18 dialect per 10,000 hid 20 author per 10,000 93 dialect per 10,000 it's 20 author per 10,000 4 dialect per 10,000 their 20 author per 10,000 7 dialect per 10,000 wee 19 author per 10,000 1 dialect per 10,000 back 19 author per 10,000 27 dialect per 10,000 did 19 author per 10,000 8 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 awa 19 author per 10,000 1 dialect per 10,000 een 19 author per 10,000 4 dialect per 10,000 some 19 author per 10,000 17 dialect per 10,000 time 18 author per 10,000 18 dialect per 10,000 far 18 author per 10,000 4 dialect per 10,000 wad 18 author per 10,000 2 dialect per 10,000 heid 18 author per 10,000 6 dialect per 10,000 man 18 author per 10,000 12 dialect per 10,000 wid 18 author per 10,000 20 dialect per 10,000 nor 17 author per 10,000 1 dialect per 10,000 syne 17 author per 10,000 0 dialect per 10,000 bi 17 author per 10,000 8 dialect per 10,000 dae 17 author per 10,000 9 dialect per 10,000 if 17 author per 10,000 15 dialect per 10,000 faither 17 author per 10,000 2 dialect per 10,000 says 17 author per 10,000 15 dialect per 10,000 jeems 17 author per 10,000 0 dialect per 10,000 cam 17 author per 10,000 8 dialect per 10,000 dinna 17 author per 10,000 4 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 13 dialect per 10,000 could 16 author per 10,000 12 dialect per 10,000 aal 16 author per 10,000 33 dialect per 10,000 ay 15 author per 10,000 0 dialect per 10,000 intae 15 author per 10,000 18 dialect per 10,000 come 15 author per 10,000 10 dialect per 10,000 gied 15 author per 10,000 2 dialect per 10,000 mak 14 author per 10,000 8 dialect per 10,000 efter 14 author per 10,000 6 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 aye 14 author per 10,000 9 dialect per 10,000 get 14 author per 10,000 10 dialect per 10,000 wisna 13 author per 10,000 4 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 4 dialect per 10,000 lang 13 author per 10,000 2 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 looked 12 author per 10,000 0 dialect per 10,000 wir 12 author per 10,000 27 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 aff 12 author per 10,000 8 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 and 12 author per 10,000 191 dialect per 10,000 wye 12 author per 10,000 0 dialect per 10,000 wey 12 author per 10,000 10 dialect per 10,000 again 12 author per 10,000 12 dialect per 10,000 of 11 author per 10,000 6 dialect per 10,000 gaan 11 author per 10,000 11 dialect per 10,000 i 11 author per 10,000 156 dialect per 10,000 fowk 10 author per 10,000 0 dialect per 10,000 couldna 10 author per 10,000 5 dialect per 10,000 here 10 author per 10,000 12 dialect per 10,000 ah'm 10 author per 10,000 21 dialect per 10,000 gie 10 author per 10,000 2 dialect per 10,000 ye've 10 author per 10,000 0 dialect per 10,000 sae 10 author per 10,000 1 dialect per 10,000 roon 10 author per 10,000 2 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 0 dialect per 10,000 took 10 author per 10,000 3 dialect per 10,000 year 10 author per 10,000 7 dialect per 10,000 till 10 author per 10,000 8 dialect per 10,000 ah've 10 author per 10,000 1 dialect per 10,000 to 10 author per 10,000 9 dialect per 10,000 face 10 author per 10,000 7 dialect per 10,000 think 10 author per 10,000 9 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 13 dialect per 10,000 fine 10 author per 10,000 6 dialect per 10,000 its 10 author per 10,000 2 dialect per 10,000 word 10 author per 10,000 2 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 6 dialect per 10,000 hissel 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 2 dialect per 10,000 kent 9 author per 10,000 5 dialect per 10,000 fair 9 author per 10,000 3 dialect per 10,000 widna 9 author per 10,000 2 dialect per 10,000 telt 9 author per 10,000 4 dialect per 10,000 peer 9 author per 10,000 0 dialect per 10,000 o't 9 author per 10,000 0 dialect per 10,000 winna 9 author per 10,000 0 dialect per 10,000 near 9 author per 10,000 5 dialect per 10,000 thing 9 author per 10,000 8 dialect per 10,000 ahin 9 author per 10,000 0 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 14 dialect per 10,000 meenit 9 author per 10,000 3 dialect per 10,000 ae 8 author per 10,000 1 dialect per 10,000 wint 8 author per 10,000 0 dialect per 10,000 that's 8 author per 10,000 9 dialect per 10,000 onythin 8 author per 10,000 0 dialect per 10,000 gin 8 author per 10,000 1 dialect per 10,000 canna 8 author per 10,000 3 dialect per 10,000 ither 8 author per 10,000 9 dialect per 10,000 fa 8 author per 10,000 0 dialect per 10,000 fleer 8 author per 10,000 0 dialect per 10,000 anither 8 author per 10,000 8 dialect per 10,000 went 8 author per 10,000 1 dialect per 10,000 cos 8 author per 10,000 0 dialect per 10,000 life 8 author per 10,000 7 dialect per 10,000 goad 8 author per 10,000 1 dialect per 10,000 made 8 author per 10,000 3 dialect per 10,000 nummer 8 author per 10,000 0 dialect per 10,000 things 8 author per 10,000 9 dialect per 10,000 days 8 author per 10,000 5 dialect per 10,000 sir 8 author per 10,000 1 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 4 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 6 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000
Southern
the 493 author per 10,000 434 dialect per 10,000 an 388 author per 10,000 309 dialect per 10,000 a 303 author per 10,000 222 dialect per 10,000 wis 180 author per 10,000 59 dialect per 10,000 ah 158 author per 10,000 82 dialect per 10,000 he 157 author per 10,000 11 dialect per 10,000 o 152 author per 10,000 210 dialect per 10,000 in 137 author per 10,000 105 dialect per 10,000 that 134 author per 10,000 61 dialect per 10,000 tae 130 author per 10,000 205 dialect per 10,000 it 125 author per 10,000 58 dialect per 10,000 ye 117 author per 10,000 18 dialect per 10,000 his 110 author per 10,000 38 dialect per 10,000 ' 79 author per 10,000 6 dialect per 10,000 on 77 author per 10,000 55 dialect per 10,000 for 75 author per 10,000 20 dialect per 10,000 aa 75 author per 10,000 11 dialect per 10,000 wi 73 author per 10,000 70 dialect per 10,000 said 68 author per 10,000 72 dialect per 10,000 nae 67 author per 10,000 25 dialect per 10,000 fit 67 author per 10,000 6 dialect per 10,000 at 60 author per 10,000 75 dialect per 10,000 ti 58 author per 10,000 21 dialect per 10,000 oot 56 author per 10,000 35 dialect per 10,000 him 51 author per 10,000 12 dialect per 10,000 me 50 author per 10,000 14 dialect per 10,000 bit 49 author per 10,000 16 dialect per 10,000 be 47 author per 10,000 9 dialect per 10,000 up 42 author per 10,000 42 dialect per 10,000 they 42 author per 10,000 30 dialect per 10,000 she 42 author per 10,000 99 dialect per 10,000 but 41 author per 10,000 39 dialect per 10,000 - 41 author per 10,000 32 dialect per 10,000 there 40 author per 10,000 16 dialect per 10,000 € 39 author per 10,000 15 dialect per 10,000 jist 38 author per 10,000 12 dialect per 10,000 aboot 38 author per 10,000 31 dialect per 10,000 or 38 author per 10,000 22 dialect per 10,000 we 37 author per 10,000 9 dialect per 10,000 ower 37 author per 10,000 14 dialect per 10,000 fae 35 author per 10,000 0 dialect per 10,000 yer 35 author per 10,000 10 dialect per 10,000 like 34 author per 10,000 7 dialect per 10,000 fan 34 author per 10,000 2 dialect per 10,000 as 34 author per 10,000 50 dialect per 10,000 this 34 author per 10,000 33 dialect per 10,000 doon 31 author per 10,000 25 dialect per 10,000 pit 31 author per 10,000 2 dialect per 10,000 day 30 author per 10,000 16 dialect per 10,000 hae 30 author per 10,000 36 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 17 dialect per 10,000 mi 29 author per 10,000 0 dialect per 10,000 got 29 author per 10,000 11 dialect per 10,000 mair 29 author per 10,000 16 dialect per 10,000 been 28 author per 10,000 10 dialect per 10,000 weel 27 author per 10,000 4 dialect per 10,000 her 26 author per 10,000 17 dialect per 10,000 richt 26 author per 10,000 20 dialect per 10,000 say 25 author per 10,000 18 dialect per 10,000 had 25 author per 10,000 0 dialect per 10,000 abbie 25 author per 10,000 0 dialect per 10,000 is 24 author per 10,000 62 dialect per 10,000 noo 24 author per 10,000 12 dialect per 10,000 you 24 author per 10,000 2 dialect per 10,000 nivver 23 author per 10,000 1 dialect per 10,000 didna 23 author per 10,000 2 dialect per 10,000 ma 23 author per 10,000 59 dialect per 10,000 see 23 author per 10,000 4 dialect per 10,000 ken 22 author per 10,000 18 dialect per 10,000 na 22 author per 10,000 0 dialect per 10,000 hoose 22 author per 10,000 22 dialect per 10,000 them 22 author per 10,000 4 dialect per 10,000 lik 21 author per 10,000 18 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 9 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 chairlie 20 author per 10,000 0 dialect per 10,000 €™s 20 author per 10,000 37 dialect per 10,000 hid 20 author per 10,000 0 dialect per 10,000 it's 20 author per 10,000 4 dialect per 10,000 their 20 author per 10,000 13 dialect per 10,000 wee 19 author per 10,000 23 dialect per 10,000 back 19 author per 10,000 19 dialect per 10,000 did 19 author per 10,000 10 dialect per 10,000 twa 19 author per 10,000 3 dialect per 10,000 awa 19 author per 10,000 15 dialect per 10,000 een 19 author per 10,000 2 dialect per 10,000 some 19 author per 10,000 10 dialect per 10,000 time 18 author per 10,000 13 dialect per 10,000 far 18 author per 10,000 2 dialect per 10,000 wad 18 author per 10,000 6 dialect per 10,000 heid 18 author per 10,000 17 dialect per 10,000 man 18 author per 10,000 7 dialect per 10,000 wid 18 author per 10,000 1 dialect per 10,000 nor 17 author per 10,000 5 dialect per 10,000 syne 17 author per 10,000 5 dialect per 10,000 bi 17 author per 10,000 14 dialect per 10,000 dae 17 author per 10,000 14 dialect per 10,000 if 17 author per 10,000 16 dialect per 10,000 faither 17 author per 10,000 8 dialect per 10,000 says 17 author per 10,000 3 dialect per 10,000 jeems 17 author per 10,000 0 dialect per 10,000 cam 17 author per 10,000 3 dialect per 10,000 dinna 17 author per 10,000 2 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 17 dialect per 10,000 could 16 author per 10,000 12 dialect per 10,000 aal 16 author per 10,000 0 dialect per 10,000 ay 15 author per 10,000 14 dialect per 10,000 intae 15 author per 10,000 11 dialect per 10,000 come 15 author per 10,000 8 dialect per 10,000 gied 15 author per 10,000 1 dialect per 10,000 mak 14 author per 10,000 8 dialect per 10,000 efter 14 author per 10,000 14 dialect per 10,000 thocht 14 author per 10,000 14 dialect per 10,000 can 14 author per 10,000 10 dialect per 10,000 aye 14 author per 10,000 10 dialect per 10,000 get 14 author per 10,000 10 dialect per 10,000 wisna 13 author per 10,000 2 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 13 dialect per 10,000 seen 12 author per 10,000 5 dialect per 10,000 looked 12 author per 10,000 7 dialect per 10,000 wir 12 author per 10,000 1 dialect per 10,000 big 12 author per 10,000 5 dialect per 10,000 aff 12 author per 10,000 4 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 4 dialect per 10,000 and 12 author per 10,000 15 dialect per 10,000 wye 12 author per 10,000 0 dialect per 10,000 wey 12 author per 10,000 3 dialect per 10,000 again 12 author per 10,000 3 dialect per 10,000 of 11 author per 10,000 9 dialect per 10,000 gaan 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 78 dialect per 10,000 fowk 10 author per 10,000 4 dialect per 10,000 couldna 10 author per 10,000 1 dialect per 10,000 here 10 author per 10,000 14 dialect per 10,000 ah'm 10 author per 10,000 10 dialect per 10,000 gie 10 author per 10,000 13 dialect per 10,000 ye've 10 author per 10,000 1 dialect per 10,000 sae 10 author per 10,000 26 dialect per 10,000 roon 10 author per 10,000 2 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 7 dialect per 10,000 took 10 author per 10,000 4 dialect per 10,000 year 10 author per 10,000 5 dialect per 10,000 till 10 author per 10,000 4 dialect per 10,000 ah've 10 author per 10,000 5 dialect per 10,000 to 10 author per 10,000 1 dialect per 10,000 face 10 author per 10,000 5 dialect per 10,000 think 10 author per 10,000 7 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 9 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 its 10 author per 10,000 7 dialect per 10,000 word 10 author per 10,000 2 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 5 dialect per 10,000 hissel 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 60 dialect per 10,000 kent 9 author per 10,000 12 dialect per 10,000 fair 9 author per 10,000 14 dialect per 10,000 widna 9 author per 10,000 0 dialect per 10,000 telt 9 author per 10,000 6 dialect per 10,000 peer 9 author per 10,000 0 dialect per 10,000 o't 9 author per 10,000 0 dialect per 10,000 winna 9 author per 10,000 0 dialect per 10,000 near 9 author per 10,000 3 dialect per 10,000 thing 9 author per 10,000 2 dialect per 10,000 ahin 9 author per 10,000 0 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 9 dialect per 10,000 meenit 9 author per 10,000 8 dialect per 10,000 ae 8 author per 10,000 73 dialect per 10,000 wint 8 author per 10,000 0 dialect per 10,000 that's 8 author per 10,000 5 dialect per 10,000 onythin 8 author per 10,000 2 dialect per 10,000 gin 8 author per 10,000 9 dialect per 10,000 canna 8 author per 10,000 2 dialect per 10,000 ither 8 author per 10,000 13 dialect per 10,000 fa 8 author per 10,000 1 dialect per 10,000 fleer 8 author per 10,000 0 dialect per 10,000 anither 8 author per 10,000 8 dialect per 10,000 went 8 author per 10,000 14 dialect per 10,000 cos 8 author per 10,000 2 dialect per 10,000 life 8 author per 10,000 6 dialect per 10,000 goad 8 author per 10,000 0 dialect per 10,000 made 8 author per 10,000 7 dialect per 10,000 nummer 8 author per 10,000 0 dialect per 10,000 things 8 author per 10,000 2 dialect per 10,000 days 8 author per 10,000 7 dialect per 10,000 sir 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 0 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 5 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000 		Ulster
the 493 author per 10,000 296 dialect per 10,000 an 388 author per 10,000 364 dialect per 10,000 a 303 author per 10,000 284 dialect per 10,000 wis 180 author per 10,000 1 dialect per 10,000 ah 158 author per 10,000 13 dialect per 10,000 he 157 author per 10,000 63 dialect per 10,000 o 152 author per 10,000 210 dialect per 10,000 in 137 author per 10,000 120 dialect per 10,000 that 134 author per 10,000 72 dialect per 10,000 tae 130 author per 10,000 259 dialect per 10,000 it 125 author per 10,000 71 dialect per 10,000 ye 117 author per 10,000 79 dialect per 10,000 his 110 author per 10,000 19 dialect per 10,000 ' 79 author per 10,000 11 dialect per 10,000 on 77 author per 10,000 54 dialect per 10,000 for 75 author per 10,000 33 dialect per 10,000 aa 75 author per 10,000 45 dialect per 10,000 wi 73 author per 10,000 61 dialect per 10,000 said 68 author per 10,000 29 dialect per 10,000 nae 67 author per 10,000 23 dialect per 10,000 fit 67 author per 10,000 4 dialect per 10,000 at 60 author per 10,000 58 dialect per 10,000 ti 58 author per 10,000 0 dialect per 10,000 oot 56 author per 10,000 51 dialect per 10,000 him 51 author per 10,000 9 dialect per 10,000 me 50 author per 10,000 24 dialect per 10,000 bit 49 author per 10,000 10 dialect per 10,000 be 47 author per 10,000 40 dialect per 10,000 up 42 author per 10,000 31 dialect per 10,000 they 42 author per 10,000 26 dialect per 10,000 she 42 author per 10,000 13 dialect per 10,000 but 41 author per 10,000 42 dialect per 10,000 - 41 author per 10,000 27 dialect per 10,000 there 40 author per 10,000 6 dialect per 10,000 € 39 author per 10,000 4 dialect per 10,000 jist 38 author per 10,000 9 dialect per 10,000 aboot 38 author per 10,000 27 dialect per 10,000 or 38 author per 10,000 36 dialect per 10,000 we 37 author per 10,000 18 dialect per 10,000 ower 37 author per 10,000 16 dialect per 10,000 fae 35 author per 10,000 14 dialect per 10,000 yer 35 author per 10,000 38 dialect per 10,000 like 34 author per 10,000 9 dialect per 10,000 fan 34 author per 10,000 1 dialect per 10,000 as 34 author per 10,000 29 dialect per 10,000 this 34 author per 10,000 28 dialect per 10,000 doon 31 author per 10,000 28 dialect per 10,000 pit 31 author per 10,000 11 dialect per 10,000 day 30 author per 10,000 15 dialect per 10,000 hae 30 author per 10,000 55 dialect per 10,000 dod 30 author per 10,000 0 dialect per 10,000 were 29 author per 10,000 5 dialect per 10,000 mi 29 author per 10,000 0 dialect per 10,000 got 29 author per 10,000 9 dialect per 10,000 mair 29 author per 10,000 30 dialect per 10,000 been 28 author per 10,000 2 dialect per 10,000 weel 27 author per 10,000 13 dialect per 10,000 her 26 author per 10,000 7 dialect per 10,000 richt 26 author per 10,000 14 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 had 25 author per 10,000 15 dialect per 10,000 abbie 25 author per 10,000 0 dialect per 10,000 is 24 author per 10,000 19 dialect per 10,000 noo 24 author per 10,000 23 dialect per 10,000 you 24 author per 10,000 4 dialect per 10,000 nivver 23 author per 10,000 0 dialect per 10,000 didna 23 author per 10,000 0 dialect per 10,000 ma 23 author per 10,000 21 dialect per 10,000 see 23 author per 10,000 16 dialect per 10,000 ken 22 author per 10,000 4 dialect per 10,000 na 22 author per 10,000 4 dialect per 10,000 hoose 22 author per 10,000 13 dialect per 10,000 them 22 author per 10,000 7 dialect per 10,000 lik 21 author per 10,000 6 dialect per 10,000 wittgenstein 21 author per 10,000 0 dialect per 10,000 tell 21 author per 10,000 10 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 chairlie 20 author per 10,000 0 dialect per 10,000 €™s 20 author per 10,000 11 dialect per 10,000 hid 20 author per 10,000 0 dialect per 10,000 it's 20 author per 10,000 13 dialect per 10,000 their 20 author per 10,000 6 dialect per 10,000 wee 19 author per 10,000 26 dialect per 10,000 back 19 author per 10,000 3 dialect per 10,000 did 19 author per 10,000 4 dialect per 10,000 twa 19 author per 10,000 12 dialect per 10,000 awa 19 author per 10,000 16 dialect per 10,000 een 19 author per 10,000 6 dialect per 10,000 some 19 author per 10,000 6 dialect per 10,000 time 18 author per 10,000 13 dialect per 10,000 far 18 author per 10,000 5 dialect per 10,000 wad 18 author per 10,000 1 dialect per 10,000 heid 18 author per 10,000 12 dialect per 10,000 man 18 author per 10,000 17 dialect per 10,000 wid 18 author per 10,000 1 dialect per 10,000 nor 17 author per 10,000 12 dialect per 10,000 syne 17 author per 10,000 1 dialect per 10,000 bi 17 author per 10,000 7 dialect per 10,000 dae 17 author per 10,000 24 dialect per 10,000 if 17 author per 10,000 13 dialect per 10,000 faither 17 author per 10,000 8 dialect per 10,000 says 17 author per 10,000 3 dialect per 10,000 jeems 17 author per 10,000 0 dialect per 10,000 cam 17 author per 10,000 0 dialect per 10,000 dinna 17 author per 10,000 0 dialect per 10,000 wollaston 17 author per 10,000 0 dialect per 10,000 afore 16 author per 10,000 12 dialect per 10,000 could 16 author per 10,000 1 dialect per 10,000 aal 16 author per 10,000 9 dialect per 10,000 ay 15 author per 10,000 2 dialect per 10,000 intae 15 author per 10,000 13 dialect per 10,000 come 15 author per 10,000 9 dialect per 10,000 gied 15 author per 10,000 1 dialect per 10,000 mak 14 author per 10,000 10 dialect per 10,000 efter 14 author per 10,000 5 dialect per 10,000 thocht 14 author per 10,000 11 dialect per 10,000 can 14 author per 10,000 14 dialect per 10,000 aye 14 author per 10,000 12 dialect per 10,000 get 14 author per 10,000 8 dialect per 10,000 wisna 13 author per 10,000 0 dialect per 10,000 haan 13 author per 10,000 0 dialect per 10,000 he'd 13 author per 10,000 1 dialect per 10,000 lang 13 author per 10,000 12 dialect per 10,000 seen 12 author per 10,000 4 dialect per 10,000 looked 12 author per 10,000 0 dialect per 10,000 wir 12 author per 10,000 1 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 aff 12 author per 10,000 15 dialect per 10,000 airchie 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 and 12 author per 10,000 10 dialect per 10,000 wye 12 author per 10,000 14 dialect per 10,000 wey 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 2 dialect per 10,000 of 11 author per 10,000 2 dialect per 10,000 gaan 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 10 dialect per 10,000 fowk 10 author per 10,000 23 dialect per 10,000 couldna 10 author per 10,000 0 dialect per 10,000 here 10 author per 10,000 10 dialect per 10,000 ah'm 10 author per 10,000 1 dialect per 10,000 gie 10 author per 10,000 17 dialect per 10,000 ye've 10 author per 10,000 0 dialect per 10,000 sae 10 author per 10,000 26 dialect per 10,000 roon 10 author per 10,000 11 dialect per 10,000 aitken 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 6 dialect per 10,000 took 10 author per 10,000 1 dialect per 10,000 year 10 author per 10,000 2 dialect per 10,000 till 10 author per 10,000 1 dialect per 10,000 ah've 10 author per 10,000 0 dialect per 10,000 to 10 author per 10,000 2 dialect per 10,000 face 10 author per 10,000 3 dialect per 10,000 think 10 author per 10,000 7 dialect per 10,000 gavin 10 author per 10,000 0 dialect per 10,000 tak 10 author per 10,000 14 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 its 10 author per 10,000 8 dialect per 10,000 word 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 4 dialect per 10,000 hissel 9 author per 10,000 1 dialect per 10,000 was 9 author per 10,000 11 dialect per 10,000 kent 9 author per 10,000 1 dialect per 10,000 fair 9 author per 10,000 2 dialect per 10,000 widna 9 author per 10,000 0 dialect per 10,000 telt 9 author per 10,000 1 dialect per 10,000 peer 9 author per 10,000 0 dialect per 10,000 o't 9 author per 10,000 1 dialect per 10,000 winna 9 author per 10,000 0 dialect per 10,000 near 9 author per 10,000 4 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 ahin 9 author per 10,000 0 dialect per 10,000 myrtle 9 author per 10,000 0 dialect per 10,000 are 9 author per 10,000 4 dialect per 10,000 meenit 9 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 0 dialect per 10,000 wint 8 author per 10,000 0 dialect per 10,000 that's 8 author per 10,000 8 dialect per 10,000 onythin 8 author per 10,000 0 dialect per 10,000 gin 8 author per 10,000 6 dialect per 10,000 canna 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 16 dialect per 10,000 fa 8 author per 10,000 0 dialect per 10,000 fleer 8 author per 10,000 0 dialect per 10,000 anither 8 author per 10,000 9 dialect per 10,000 went 8 author per 10,000 12 dialect per 10,000 cos 8 author per 10,000 0 dialect per 10,000 life 8 author per 10,000 5 dialect per 10,000 goad 8 author per 10,000 0 dialect per 10,000 made 8 author per 10,000 6 dialect per 10,000 nummer 8 author per 10,000 1 dialect per 10,000 things 8 author per 10,000 4 dialect per 10,000 days 8 author per 10,000 5 dialect per 10,000 sir 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 1 dialect per 10,000 mactavish 8 author per 10,000 0 dialect per 10,000 ah'll 8 author per 10,000 1 dialect per 10,000 penny 8 author per 10,000 0 dialect per 10,000