A Corpus of 21st Century Scots Texts

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Strachan, Shane


Total words by this author in corpus - 8,220
Total unique words used by this author in corpus - 2,021
Ratio of total words to unique words - 4.067
Top ten most common words - the, i, and, a, ma, €™s, tae, o, she, that,

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 543 author per 10,000 565 dialect per 10,000 i 298 author per 10,000 38 dialect per 10,000 and 247 author per 10,000 104 dialect per 10,000 a 226 author per 10,000 262 dialect per 10,000 ma 173 author per 10,000 51 dialect per 10,000 €™s 164 author per 10,000 35 dialect per 10,000 tae 157 author per 10,000 211 dialect per 10,000 o 146 author per 10,000 187 dialect per 10,000 she 113 author per 10,000 57 dialect per 10,000 that 109 author per 10,000 108 dialect per 10,000 it 108 author per 10,000 119 dialect per 10,000 on 107 author per 10,000 54 dialect per 10,000 in 107 author per 10,000 148 dialect per 10,000 up 103 author per 10,000 40 dialect per 10,000 her 102 author per 10,000 45 dialect per 10,000 he 99 author per 10,000 90 dialect per 10,000 wis 86 author per 10,000 99 dialect per 10,000 to 80 author per 10,000 9 dialect per 10,000 for 79 author per 10,000 46 dialect per 10,000 €™ 78 author per 10,000 45 dialect per 10,000 oot 73 author per 10,000 40 dialect per 10,000 grunny 69 author per 10,000 0 dialect per 10,000 at 61 author per 10,000 58 dialect per 10,000 as 60 author per 10,000 60 dialect per 10,000 ye 57 author per 10,000 60 dialect per 10,000 this 54 author per 10,000 42 dialect per 10,000 back 51 author per 10,000 20 dialect per 10,000 is 50 author per 10,000 60 dialect per 10,000 his 50 author per 10,000 56 dialect per 10,000 but 49 author per 10,000 47 dialect per 10,000 doon 47 author per 10,000 18 dialect per 10,000 be 47 author per 10,000 49 dialect per 10,000 wi 45 author per 10,000 64 dialect per 10,000 fit 44 author per 10,000 2 dialect per 10,000 nae 41 author per 10,000 22 dialect per 10,000 like 40 author per 10,000 28 dialect per 10,000 fae 38 author per 10,000 26 dialect per 10,000 aa 36 author per 10,000 12 dialect per 10,000 they 36 author per 10,000 43 dialect per 10,000 there 32 author per 10,000 24 dialect per 10,000 een 30 author per 10,000 5 dialect per 10,000 day 30 author per 10,000 13 dialect per 10,000 him 30 author per 10,000 29 dialect per 10,000 so 30 author per 10,000 10 dialect per 10,000 €“ 30 author per 10,000 5 dialect per 10,000 fan 28 author per 10,000 1 dialect per 10,000 me 27 author per 10,000 40 dialect per 10,000 yer 27 author per 10,000 18 dialect per 10,000 say 27 author per 10,000 10 dialect per 10,000 can 27 author per 10,000 15 dialect per 10,000 you 27 author per 10,000 15 dialect per 10,000 we 27 author per 10,000 34 dialect per 10,000 €™ll 26 author per 10,000 5 dialect per 10,000 wie 24 author per 10,000 1 dialect per 10,000 my 24 author per 10,000 6 dialect per 10,000 them 24 author per 10,000 18 dialect per 10,000 aboot 24 author per 10,000 30 dialect per 10,000 then 24 author per 10,000 17 dialect per 10,000 through 24 author per 10,000 6 dialect per 10,000 aff 23 author per 10,000 14 dialect per 10,000 €™m 23 author per 10,000 6 dialect per 10,000 €™ve 23 author per 10,000 4 dialect per 10,000 deuk 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 17 dialect per 10,000 noo 22 author per 10,000 13 dialect per 10,000 deukie 22 author per 10,000 0 dialect per 10,000 of 22 author per 10,000 10 dialect per 10,000 afore 22 author per 10,000 9 dialect per 10,000 get 22 author per 10,000 15 dialect per 10,000 if 22 author per 10,000 18 dialect per 10,000 or 22 author per 10,000 29 dialect per 10,000 hoose 21 author per 10,000 7 dialect per 10,000 orra 21 author per 10,000 0 dialect per 10,000 had 21 author per 10,000 23 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 awa 19 author per 10,000 11 dialect per 10,000 been 19 author per 10,000 19 dialect per 10,000 phone 19 author per 10,000 1 dialect per 10,000 their 19 author per 10,000 18 dialect per 10,000 heid 19 author per 10,000 10 dialect per 10,000 da 19 author per 10,000 4 dialect per 10,000 dinna 18 author per 10,000 4 dialect per 10,000 has 18 author per 10,000 5 dialect per 10,000 wee 18 author per 10,000 28 dialect per 10,000 says 18 author per 10,000 7 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 intae 17 author per 10,000 18 dialect per 10,000 jist 17 author per 10,000 22 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 summin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 16 dialect per 10,000 far 16 author per 10,000 2 dialect per 10,000 have 16 author per 10,000 2 dialect per 10,000 last 16 author per 10,000 6 dialect per 10,000 disna 16 author per 10,000 1 dialect per 10,000 ower 16 author per 10,000 18 dialect per 10,000 andrew 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 12 dialect per 10,000 by 16 author per 10,000 16 dialect per 10,000 €™d 16 author per 10,000 7 dialect per 10,000 here 16 author per 10,000 12 dialect per 10,000 think 16 author per 10,000 9 dialect per 10,000 us 15 author per 10,000 15 dialect per 10,000 an 15 author per 10,000 215 dialect per 10,000 look 15 author per 10,000 5 dialect per 10,000 land 15 author per 10,000 1 dialect per 10,000 dee 15 author per 10,000 1 dialect per 10,000 still 15 author per 10,000 8 dialect per 10,000 every 13 author per 10,000 2 dialect per 10,000 will 13 author per 10,000 11 dialect per 10,000 aifter 13 author per 10,000 0 dialect per 10,000 face 13 author per 10,000 5 dialect per 10,000 could 13 author per 10,000 10 dialect per 10,000 bonnie 13 author per 10,000 2 dialect per 10,000 €˜i 12 author per 10,000 0 dialect per 10,000 hae 12 author per 10,000 21 dialect per 10,000 room 12 author per 10,000 5 dialect per 10,000 sure 12 author per 10,000 2 dialect per 10,000 came 12 author per 10,000 3 dialect per 10,000 left 12 author per 10,000 5 dialect per 10,000 helicopter 12 author per 10,000 0 dialect per 10,000 one 12 author per 10,000 2 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 hear 12 author per 10,000 4 dialect per 10,000 enough 12 author per 10,000 3 dialect per 10,000 was 12 author per 10,000 7 dialect per 10,000 into 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 17 dialect per 10,000 lang 12 author per 10,000 9 dialect per 10,000 said 12 author per 10,000 43 dialect per 10,000 €™re 11 author per 10,000 4 dialect per 10,000 folk 11 author per 10,000 5 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 fash 11 author per 10,000 1 dialect per 10,000 mair 11 author per 10,000 20 dialect per 10,000 made 11 author per 10,000 7 dialect per 10,000 weel 11 author per 10,000 9 dialect per 10,000 being 11 author per 10,000 1 dialect per 10,000 high 11 author per 10,000 2 dialect per 10,000 ben 11 author per 10,000 2 dialect per 10,000 didna 11 author per 10,000 5 dialect per 10,000 €™r 11 author per 10,000 1 dialect per 10,000 april 11 author per 10,000 0 dialect per 10,000 owre 11 author per 10,000 2 dialect per 10,000 faither 10 author per 10,000 4 dialect per 10,000 than 10 author per 10,000 10 dialect per 10,000 egg 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 fish 10 author per 10,000 1 dialect per 10,000 masel 10 author per 10,000 4 dialect per 10,000 though 10 author per 10,000 4 dialect per 10,000 while 10 author per 10,000 5 dialect per 10,000 stuck 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 10 dialect per 10,000 caul 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 5 dialect per 10,000 did 10 author per 10,000 9 dialect per 10,000 come 10 author per 10,000 9 dialect per 10,000 even 10 author per 10,000 10 dialect per 10,000 rest 10 author per 10,000 2 dialect per 10,000 front 10 author per 10,000 3 dialect per 10,000 never 10 author per 10,000 6 dialect per 10,000 grun 10 author per 10,000 1 dialect per 10,000 go 10 author per 10,000 6 dialect per 10,000 th 10 author per 10,000 1 dialect per 10,000 €™t 10 author per 10,000 3 dialect per 10,000 would 10 author per 10,000 2 dialect per 10,000 only 10 author per 10,000 5 dialect per 10,000 eggs 10 author per 10,000 0 dialect per 10,000 starts 10 author per 10,000 0 dialect per 10,000 ken 9 author per 10,000 14 dialect per 10,000 much 9 author per 10,000 4 dialect per 10,000 ither 9 author per 10,000 11 dialect per 10,000 quaicked 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 4 dialect per 10,000 muckle 9 author per 10,000 10 dialect per 10,000 cam 9 author per 10,000 8 dialect per 10,000 oor 9 author per 10,000 16 dialect per 10,000 your 9 author per 10,000 5 dialect per 10,000 hoast 9 author per 10,000 0 dialect per 10,000 wisna 9 author per 10,000 3 dialect per 10,000 sea 9 author per 10,000 2 dialect per 10,000 until 9 author per 10,000 2 dialect per 10,000 fine 9 author per 10,000 3 dialect per 10,000 affa 9 author per 10,000 0 dialect per 10,000 officer 9 author per 10,000 0 dialect per 10,000 lobby 9 author per 10,000 0 dialect per 10,000 aul 9 author per 10,000 0 dialect per 10,000 really 9 author per 10,000 4 dialect per 10,000 ahin 7 author per 10,000 0 dialect per 10,000 just 7 author per 10,000 4 dialect per 10,000 och 7 author per 10,000 1 dialect per 10,000 inside 7 author per 10,000 2 dialect per 10,000 anither 7 author per 10,000 6 dialect per 10,000 past 7 author per 10,000 3 dialect per 10,000 rope 7 author per 10,000 0 dialect per 10,000 half 7 author per 10,000 1 dialect per 10,000 end 7 author per 10,000 4 dialect per 10,000 loch 7 author per 10,000 1 dialect per 10,000 something 7 author per 10,000 1 dialect per 10,000
Doric
the 543 author per 10,000 468 dialect per 10,000 i 298 author per 10,000 72 dialect per 10,000 and 247 author per 10,000 42 dialect per 10,000 a 226 author per 10,000 300 dialect per 10,000 ma 173 author per 10,000 46 dialect per 10,000 €™s 164 author per 10,000 23 dialect per 10,000 tae 157 author per 10,000 164 dialect per 10,000 o 146 author per 10,000 181 dialect per 10,000 she 113 author per 10,000 73 dialect per 10,000 that 109 author per 10,000 51 dialect per 10,000 it 108 author per 10,000 104 dialect per 10,000 on 107 author per 10,000 67 dialect per 10,000 in 107 author per 10,000 135 dialect per 10,000 up 103 author per 10,000 45 dialect per 10,000 her 102 author per 10,000 69 dialect per 10,000 he 99 author per 10,000 97 dialect per 10,000 wis 86 author per 10,000 104 dialect per 10,000 to 80 author per 10,000 8 dialect per 10,000 for 79 author per 10,000 44 dialect per 10,000 €™ 78 author per 10,000 12 dialect per 10,000 oot 73 author per 10,000 48 dialect per 10,000 grunny 69 author per 10,000 1 dialect per 10,000 at 61 author per 10,000 70 dialect per 10,000 as 60 author per 10,000 55 dialect per 10,000 ye 57 author per 10,000 94 dialect per 10,000 this 54 author per 10,000 18 dialect per 10,000 back 51 author per 10,000 22 dialect per 10,000 is 50 author per 10,000 42 dialect per 10,000 his 50 author per 10,000 72 dialect per 10,000 but 49 author per 10,000 25 dialect per 10,000 doon 47 author per 10,000 34 dialect per 10,000 be 47 author per 10,000 46 dialect per 10,000 wi 45 author per 10,000 82 dialect per 10,000 fit 44 author per 10,000 41 dialect per 10,000 nae 41 author per 10,000 50 dialect per 10,000 like 40 author per 10,000 40 dialect per 10,000 fae 38 author per 10,000 27 dialect per 10,000 aa 36 author per 10,000 43 dialect per 10,000 they 36 author per 10,000 38 dialect per 10,000 there 32 author per 10,000 23 dialect per 10,000 een 30 author per 10,000 19 dialect per 10,000 day 30 author per 10,000 28 dialect per 10,000 him 30 author per 10,000 33 dialect per 10,000 so 30 author per 10,000 14 dialect per 10,000 €“ 30 author per 10,000 6 dialect per 10,000 fan 28 author per 10,000 18 dialect per 10,000 me 27 author per 10,000 31 dialect per 10,000 yer 27 author per 10,000 34 dialect per 10,000 say 27 author per 10,000 15 dialect per 10,000 can 27 author per 10,000 13 dialect per 10,000 you 27 author per 10,000 18 dialect per 10,000 we 27 author per 10,000 21 dialect per 10,000 €™ll 26 author per 10,000 4 dialect per 10,000 wie 24 author per 10,000 2 dialect per 10,000 my 24 author per 10,000 11 dialect per 10,000 them 24 author per 10,000 25 dialect per 10,000 aboot 24 author per 10,000 33 dialect per 10,000 then 24 author per 10,000 9 dialect per 10,000 through 24 author per 10,000 3 dialect per 10,000 aff 23 author per 10,000 13 dialect per 10,000 €™m 23 author per 10,000 3 dialect per 10,000 €™ve 23 author per 10,000 2 dialect per 10,000 deuk 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 20 dialect per 10,000 noo 22 author per 10,000 21 dialect per 10,000 deukie 22 author per 10,000 0 dialect per 10,000 of 22 author per 10,000 8 dialect per 10,000 afore 22 author per 10,000 14 dialect per 10,000 get 22 author per 10,000 15 dialect per 10,000 if 22 author per 10,000 17 dialect per 10,000 or 22 author per 10,000 25 dialect per 10,000 hoose 21 author per 10,000 11 dialect per 10,000 orra 21 author per 10,000 1 dialect per 10,000 had 21 author per 10,000 3 dialect per 10,000 wye 21 author per 10,000 12 dialect per 10,000 awa 19 author per 10,000 22 dialect per 10,000 been 19 author per 10,000 13 dialect per 10,000 phone 19 author per 10,000 2 dialect per 10,000 their 19 author per 10,000 20 dialect per 10,000 heid 19 author per 10,000 12 dialect per 10,000 da 19 author per 10,000 3 dialect per 10,000 dinna 18 author per 10,000 18 dialect per 10,000 has 18 author per 10,000 2 dialect per 10,000 wee 18 author per 10,000 19 dialect per 10,000 says 18 author per 10,000 10 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 intae 17 author per 10,000 10 dialect per 10,000 jist 17 author per 10,000 35 dialect per 10,000 see 17 author per 10,000 22 dialect per 10,000 summin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 13 dialect per 10,000 far 16 author per 10,000 14 dialect per 10,000 have 16 author per 10,000 1 dialect per 10,000 last 16 author per 10,000 5 dialect per 10,000 disna 16 author per 10,000 3 dialect per 10,000 ower 16 author per 10,000 28 dialect per 10,000 andrew 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 13 dialect per 10,000 by 16 author per 10,000 9 dialect per 10,000 €™d 16 author per 10,000 11 dialect per 10,000 here 16 author per 10,000 11 dialect per 10,000 think 16 author per 10,000 12 dialect per 10,000 us 15 author per 10,000 6 dialect per 10,000 an 15 author per 10,000 308 dialect per 10,000 look 15 author per 10,000 7 dialect per 10,000 land 15 author per 10,000 1 dialect per 10,000 dee 15 author per 10,000 10 dialect per 10,000 still 15 author per 10,000 5 dialect per 10,000 every 13 author per 10,000 1 dialect per 10,000 will 13 author per 10,000 10 dialect per 10,000 aifter 13 author per 10,000 2 dialect per 10,000 face 13 author per 10,000 7 dialect per 10,000 could 13 author per 10,000 8 dialect per 10,000 bonnie 13 author per 10,000 4 dialect per 10,000 €˜i 12 author per 10,000 0 dialect per 10,000 hae 12 author per 10,000 20 dialect per 10,000 room 12 author per 10,000 4 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 came 12 author per 10,000 5 dialect per 10,000 left 12 author per 10,000 5 dialect per 10,000 helicopter 12 author per 10,000 0 dialect per 10,000 one 12 author per 10,000 2 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 hear 12 author per 10,000 4 dialect per 10,000 enough 12 author per 10,000 2 dialect per 10,000 was 12 author per 10,000 8 dialect per 10,000 into 12 author per 10,000 1 dialect per 10,000 are 12 author per 10,000 14 dialect per 10,000 lang 12 author per 10,000 14 dialect per 10,000 said 12 author per 10,000 39 dialect per 10,000 €™re 11 author per 10,000 1 dialect per 10,000 folk 11 author per 10,000 4 dialect per 10,000 mither 11 author per 10,000 8 dialect per 10,000 fash 11 author per 10,000 0 dialect per 10,000 mair 11 author per 10,000 18 dialect per 10,000 made 11 author per 10,000 8 dialect per 10,000 weel 11 author per 10,000 19 dialect per 10,000 being 11 author per 10,000 1 dialect per 10,000 high 11 author per 10,000 2 dialect per 10,000 ben 11 author per 10,000 2 dialect per 10,000 didna 11 author per 10,000 10 dialect per 10,000 €™r 11 author per 10,000 0 dialect per 10,000 april 11 author per 10,000 1 dialect per 10,000 owre 11 author per 10,000 0 dialect per 10,000 faither 10 author per 10,000 5 dialect per 10,000 than 10 author per 10,000 8 dialect per 10,000 egg 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 fish 10 author per 10,000 1 dialect per 10,000 masel 10 author per 10,000 4 dialect per 10,000 though 10 author per 10,000 3 dialect per 10,000 while 10 author per 10,000 2 dialect per 10,000 stuck 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 7 dialect per 10,000 caul 10 author per 10,000 1 dialect per 10,000 place 10 author per 10,000 6 dialect per 10,000 did 10 author per 10,000 10 dialect per 10,000 come 10 author per 10,000 14 dialect per 10,000 even 10 author per 10,000 6 dialect per 10,000 rest 10 author per 10,000 1 dialect per 10,000 front 10 author per 10,000 2 dialect per 10,000 never 10 author per 10,000 2 dialect per 10,000 grun 10 author per 10,000 4 dialect per 10,000 go 10 author per 10,000 4 dialect per 10,000 th 10 author per 10,000 7 dialect per 10,000 €™t 10 author per 10,000 2 dialect per 10,000 would 10 author per 10,000 1 dialect per 10,000 only 10 author per 10,000 6 dialect per 10,000 eggs 10 author per 10,000 1 dialect per 10,000 starts 10 author per 10,000 1 dialect per 10,000 ken 9 author per 10,000 23 dialect per 10,000 much 9 author per 10,000 4 dialect per 10,000 ither 9 author per 10,000 8 dialect per 10,000 quaicked 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 muckle 9 author per 10,000 10 dialect per 10,000 cam 9 author per 10,000 12 dialect per 10,000 oor 9 author per 10,000 6 dialect per 10,000 your 9 author per 10,000 5 dialect per 10,000 hoast 9 author per 10,000 0 dialect per 10,000 wisna 9 author per 10,000 6 dialect per 10,000 sea 9 author per 10,000 3 dialect per 10,000 until 9 author per 10,000 1 dialect per 10,000 fine 9 author per 10,000 12 dialect per 10,000 affa 9 author per 10,000 13 dialect per 10,000 officer 9 author per 10,000 0 dialect per 10,000 lobby 9 author per 10,000 1 dialect per 10,000 aul 9 author per 10,000 3 dialect per 10,000 really 9 author per 10,000 4 dialect per 10,000 ahin 7 author per 10,000 4 dialect per 10,000 just 7 author per 10,000 1 dialect per 10,000 och 7 author per 10,000 6 dialect per 10,000 inside 7 author per 10,000 3 dialect per 10,000 anither 7 author per 10,000 8 dialect per 10,000 past 7 author per 10,000 2 dialect per 10,000 rope 7 author per 10,000 0 dialect per 10,000 half 7 author per 10,000 3 dialect per 10,000 end 7 author per 10,000 2 dialect per 10,000 loch 7 author per 10,000 1 dialect per 10,000 something 7 author per 10,000 2 dialect per 10,000
Shetland
the 543 author per 10,000 18 dialect per 10,000 i 298 author per 10,000 143 dialect per 10,000 and 247 author per 10,000 15 dialect per 10,000 a 226 author per 10,000 280 dialect per 10,000 ma 173 author per 10,000 0 dialect per 10,000 €™s 164 author per 10,000 16 dialect per 10,000 tae 157 author per 10,000 86 dialect per 10,000 o 146 author per 10,000 177 dialect per 10,000 she 113 author per 10,000 7 dialect per 10,000 that 109 author per 10,000 4 dialect per 10,000 it 108 author per 10,000 58 dialect per 10,000 on 107 author per 10,000 52 dialect per 10,000 in 107 author per 10,000 105 dialect per 10,000 up 103 author per 10,000 42 dialect per 10,000 her 102 author per 10,000 64 dialect per 10,000 he 99 author per 10,000 103 dialect per 10,000 wis 86 author per 10,000 161 dialect per 10,000 to 80 author per 10,000 8 dialect per 10,000 for 79 author per 10,000 35 dialect per 10,000 €™ 78 author per 10,000 17 dialect per 10,000 oot 73 author per 10,000 42 dialect per 10,000 grunny 69 author per 10,000 0 dialect per 10,000 at 61 author per 10,000 112 dialect per 10,000 as 60 author per 10,000 79 dialect per 10,000 ye 57 author per 10,000 0 dialect per 10,000 this 54 author per 10,000 1 dialect per 10,000 back 51 author per 10,000 18 dialect per 10,000 is 50 author per 10,000 81 dialect per 10,000 his 50 author per 10,000 52 dialect per 10,000 but 49 author per 10,000 28 dialect per 10,000 doon 47 author per 10,000 23 dialect per 10,000 be 47 author per 10,000 55 dialect per 10,000 wi 45 author per 10,000 95 dialect per 10,000 fit 44 author per 10,000 4 dialect per 10,000 nae 41 author per 10,000 23 dialect per 10,000 like 40 author per 10,000 2 dialect per 10,000 fae 38 author per 10,000 40 dialect per 10,000 aa 36 author per 10,000 51 dialect per 10,000 they 36 author per 10,000 2 dialect per 10,000 there 32 author per 10,000 1 dialect per 10,000 een 30 author per 10,000 20 dialect per 10,000 day 30 author per 10,000 18 dialect per 10,000 him 30 author per 10,000 47 dialect per 10,000 so 30 author per 10,000 26 dialect per 10,000 €“ 30 author per 10,000 2 dialect per 10,000 fan 28 author per 10,000 6 dialect per 10,000 me 27 author per 10,000 41 dialect per 10,000 yer 27 author per 10,000 0 dialect per 10,000 say 27 author per 10,000 11 dialect per 10,000 can 27 author per 10,000 20 dialect per 10,000 you 27 author per 10,000 51 dialect per 10,000 we 27 author per 10,000 43 dialect per 10,000 €™ll 26 author per 10,000 5 dialect per 10,000 wie 24 author per 10,000 1 dialect per 10,000 my 24 author per 10,000 23 dialect per 10,000 them 24 author per 10,000 1 dialect per 10,000 aboot 24 author per 10,000 41 dialect per 10,000 then 24 author per 10,000 1 dialect per 10,000 through 24 author per 10,000 0 dialect per 10,000 aff 23 author per 10,000 18 dialect per 10,000 €™m 23 author per 10,000 5 dialect per 10,000 €™ve 23 author per 10,000 1 dialect per 10,000 deuk 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 21 dialect per 10,000 noo 22 author per 10,000 19 dialect per 10,000 deukie 22 author per 10,000 0 dialect per 10,000 of 22 author per 10,000 11 dialect per 10,000 afore 22 author per 10,000 15 dialect per 10,000 get 22 author per 10,000 6 dialect per 10,000 if 22 author per 10,000 25 dialect per 10,000 or 22 author per 10,000 32 dialect per 10,000 hoose 21 author per 10,000 8 dialect per 10,000 orra 21 author per 10,000 0 dialect per 10,000 had 21 author per 10,000 2 dialect per 10,000 wye 21 author per 10,000 24 dialect per 10,000 awa 19 author per 10,000 13 dialect per 10,000 been 19 author per 10,000 16 dialect per 10,000 phone 19 author per 10,000 1 dialect per 10,000 their 19 author per 10,000 1 dialect per 10,000 heid 19 author per 10,000 2 dialect per 10,000 da 19 author per 10,000 545 dialect per 10,000 dinna 18 author per 10,000 0 dialect per 10,000 has 18 author per 10,000 3 dialect per 10,000 wee 18 author per 10,000 0 dialect per 10,000 says 18 author per 10,000 5 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 intae 17 author per 10,000 8 dialect per 10,000 jist 17 author per 10,000 0 dialect per 10,000 see 17 author per 10,000 20 dialect per 10,000 summin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 3 dialect per 10,000 far 16 author per 10,000 6 dialect per 10,000 have 16 author per 10,000 3 dialect per 10,000 last 16 author per 10,000 6 dialect per 10,000 disna 16 author per 10,000 0 dialect per 10,000 ower 16 author per 10,000 24 dialect per 10,000 andrew 16 author per 10,000 0 dialect per 10,000 got 16 author per 10,000 8 dialect per 10,000 by 16 author per 10,000 7 dialect per 10,000 €™d 16 author per 10,000 2 dialect per 10,000 here 16 author per 10,000 11 dialect per 10,000 think 16 author per 10,000 1 dialect per 10,000 us 15 author per 10,000 0 dialect per 10,000 an 15 author per 10,000 330 dialect per 10,000 look 15 author per 10,000 6 dialect per 10,000 land 15 author per 10,000 0 dialect per 10,000 dee 15 author per 10,000 21 dialect per 10,000 still 15 author per 10,000 9 dialect per 10,000 every 13 author per 10,000 5 dialect per 10,000 will 13 author per 10,000 9 dialect per 10,000 aifter 13 author per 10,000 0 dialect per 10,000 face 13 author per 10,000 6 dialect per 10,000 could 13 author per 10,000 12 dialect per 10,000 bonnie 13 author per 10,000 0 dialect per 10,000 €˜i 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 25 dialect per 10,000 room 12 author per 10,000 2 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 came 12 author per 10,000 0 dialect per 10,000 left 12 author per 10,000 5 dialect per 10,000 helicopter 12 author per 10,000 0 dialect per 10,000 one 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 hear 12 author per 10,000 4 dialect per 10,000 enough 12 author per 10,000 0 dialect per 10,000 was 12 author per 10,000 3 dialect per 10,000 into 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 2 dialect per 10,000 lang 12 author per 10,000 11 dialect per 10,000 said 12 author per 10,000 61 dialect per 10,000 €™re 11 author per 10,000 1 dialect per 10,000 folk 11 author per 10,000 1 dialect per 10,000 mither 11 author per 10,000 0 dialect per 10,000 fash 11 author per 10,000 0 dialect per 10,000 mair 11 author per 10,000 19 dialect per 10,000 made 11 author per 10,000 1 dialect per 10,000 weel 11 author per 10,000 18 dialect per 10,000 being 11 author per 10,000 0 dialect per 10,000 high 11 author per 10,000 2 dialect per 10,000 ben 11 author per 10,000 0 dialect per 10,000 didna 11 author per 10,000 10 dialect per 10,000 €™r 11 author per 10,000 2 dialect per 10,000 april 11 author per 10,000 0 dialect per 10,000 owre 11 author per 10,000 2 dialect per 10,000 faither 10 author per 10,000 0 dialect per 10,000 than 10 author per 10,000 0 dialect per 10,000 egg 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 3 dialect per 10,000 fish 10 author per 10,000 2 dialect per 10,000 masel 10 author per 10,000 0 dialect per 10,000 though 10 author per 10,000 1 dialect per 10,000 while 10 author per 10,000 4 dialect per 10,000 stuck 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 17 dialect per 10,000 caul 10 author per 10,000 0 dialect per 10,000 place 10 author per 10,000 7 dialect per 10,000 did 10 author per 10,000 9 dialect per 10,000 come 10 author per 10,000 19 dialect per 10,000 even 10 author per 10,000 10 dialect per 10,000 rest 10 author per 10,000 3 dialect per 10,000 front 10 author per 10,000 1 dialect per 10,000 never 10 author per 10,000 7 dialect per 10,000 grun 10 author per 10,000 0 dialect per 10,000 go 10 author per 10,000 2 dialect per 10,000 th 10 author per 10,000 1 dialect per 10,000 €™t 10 author per 10,000 0 dialect per 10,000 would 10 author per 10,000 1 dialect per 10,000 only 10 author per 10,000 5 dialect per 10,000 eggs 10 author per 10,000 1 dialect per 10,000 starts 10 author per 10,000 1 dialect per 10,000 ken 9 author per 10,000 14 dialect per 10,000 much 9 author per 10,000 2 dialect per 10,000 ither 9 author per 10,000 0 dialect per 10,000 quaicked 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 5 dialect per 10,000 muckle 9 author per 10,000 12 dialect per 10,000 cam 9 author per 10,000 23 dialect per 10,000 oor 9 author per 10,000 1 dialect per 10,000 your 9 author per 10,000 9 dialect per 10,000 hoast 9 author per 10,000 0 dialect per 10,000 wisna 9 author per 10,000 9 dialect per 10,000 sea 9 author per 10,000 6 dialect per 10,000 until 9 author per 10,000 1 dialect per 10,000 fine 9 author per 10,000 7 dialect per 10,000 affa 9 author per 10,000 0 dialect per 10,000 officer 9 author per 10,000 0 dialect per 10,000 lobby 9 author per 10,000 0 dialect per 10,000 aul 9 author per 10,000 0 dialect per 10,000 really 9 author per 10,000 2 dialect per 10,000 ahin 7 author per 10,000 0 dialect per 10,000 just 7 author per 10,000 10 dialect per 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Orkney
the 543 author per 10,000 581 dialect per 10,000 i 298 author per 10,000 156 dialect per 10,000 and 247 author per 10,000 191 dialect per 10,000 a 226 author per 10,000 296 dialect per 10,000 ma 173 author per 10,000 1 dialect per 10,000 €™s 164 author per 10,000 18 dialect per 10,000 tae 157 author per 10,000 222 dialect per 10,000 o 146 author per 10,000 199 dialect per 10,000 she 113 author per 10,000 8 dialect per 10,000 that 109 author per 10,000 75 dialect per 10,000 it 108 author per 10,000 23 dialect per 10,000 on 107 author per 10,000 73 dialect per 10,000 in 107 author per 10,000 147 dialect per 10,000 up 103 author per 10,000 33 dialect per 10,000 her 102 author per 10,000 48 dialect per 10,000 he 99 author per 10,000 88 dialect per 10,000 wis 86 author per 10,000 79 dialect per 10,000 to 80 author per 10,000 9 dialect per 10,000 for 79 author per 10,000 24 dialect per 10,000 €™ 78 author per 10,000 14 dialect per 10,000 oot 73 author per 10,000 51 dialect per 10,000 grunny 69 author per 10,000 0 dialect per 10,000 at 61 author per 10,000 53 dialect per 10,000 as 60 author per 10,000 48 dialect per 10,000 ye 57 author per 10,000 17 dialect per 10,000 this 54 author per 10,000 35 dialect per 10,000 back 51 author per 10,000 27 dialect per 10,000 is 50 author per 10,000 73 dialect per 10,000 his 50 author per 10,000 63 dialect per 10,000 but 49 author per 10,000 28 dialect per 10,000 doon 47 author per 10,000 28 dialect per 10,000 be 47 author per 10,000 42 dialect per 10,000 wi 45 author per 10,000 48 dialect per 10,000 fit 44 author per 10,000 1 dialect per 10,000 nae 41 author per 10,000 3 dialect per 10,000 like 40 author per 10,000 31 dialect per 10,000 fae 38 author per 10,000 37 dialect per 10,000 aa 36 author per 10,000 8 dialect per 10,000 they 36 author per 10,000 35 dialect per 10,000 there 32 author per 10,000 18 dialect per 10,000 een 30 author per 10,000 4 dialect per 10,000 day 30 author per 10,000 21 dialect per 10,000 him 30 author per 10,000 21 dialect per 10,000 so 30 author per 10,000 29 dialect per 10,000 €“ 30 author per 10,000 14 dialect per 10,000 fan 28 author per 10,000 0 dialect per 10,000 me 27 author per 10,000 111 dialect per 10,000 yer 27 author per 10,000 7 dialect per 10,000 say 27 author per 10,000 10 dialect per 10,000 can 27 author per 10,000 13 dialect per 10,000 you 27 author per 10,000 33 dialect per 10,000 we 27 author per 10,000 30 dialect per 10,000 €™ll 26 author per 10,000 2 dialect per 10,000 wie 24 author per 10,000 0 dialect per 10,000 my 24 author per 10,000 4 dialect per 10,000 them 24 author per 10,000 17 dialect per 10,000 aboot 24 author per 10,000 26 dialect per 10,000 then 24 author per 10,000 18 dialect per 10,000 through 24 author per 10,000 8 dialect per 10,000 aff 23 author per 10,000 8 dialect per 10,000 €™m 23 author per 10,000 4 dialect per 10,000 €™ve 23 author per 10,000 1 dialect per 10,000 deuk 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 noo 22 author per 10,000 27 dialect per 10,000 deukie 22 author per 10,000 0 dialect per 10,000 of 22 author per 10,000 6 dialect per 10,000 afore 22 author per 10,000 13 dialect per 10,000 get 22 author per 10,000 10 dialect per 10,000 if 22 author per 10,000 15 dialect per 10,000 or 22 author per 10,000 30 dialect per 10,000 hoose 21 author per 10,000 11 dialect per 10,000 orra 21 author per 10,000 0 dialect per 10,000 had 21 author per 10,000 2 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 awa 19 author per 10,000 1 dialect per 10,000 been 19 author per 10,000 18 dialect per 10,000 phone 19 author per 10,000 2 dialect per 10,000 their 19 author per 10,000 7 dialect per 10,000 heid 19 author per 10,000 6 dialect per 10,000 da 19 author per 10,000 0 dialect per 10,000 dinna 18 author per 10,000 4 dialect per 10,000 has 18 author per 10,000 1 dialect per 10,000 wee 18 author per 10,000 1 dialect per 10,000 says 18 author per 10,000 15 dialect per 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dee 15 author per 10,000 1 dialect per 10,000 still 15 author per 10,000 11 dialect per 10,000 every 13 author per 10,000 4 dialect per 10,000 will 13 author per 10,000 9 dialect per 10,000 aifter 13 author per 10,000 0 dialect per 10,000 face 13 author per 10,000 7 dialect per 10,000 could 13 author per 10,000 12 dialect per 10,000 bonnie 13 author per 10,000 2 dialect per 10,000 €˜i 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 12 dialect per 10,000 room 12 author per 10,000 2 dialect per 10,000 sure 12 author per 10,000 5 dialect per 10,000 came 12 author per 10,000 1 dialect per 10,000 left 12 author per 10,000 6 dialect per 10,000 helicopter 12 author per 10,000 0 dialect per 10,000 one 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 hear 12 author per 10,000 4 dialect per 10,000 enough 12 author per 10,000 3 dialect per 10,000 was 12 author per 10,000 2 dialect per 10,000 into 12 author per 10,000 1 dialect per 10,000 are 12 author per 10,000 14 dialect per 10,000 lang 12 author per 10,000 2 dialect per 10,000 said 12 author per 10,000 15 dialect per 10,000 €™re 11 author per 10,000 1 dialect per 10,000 folk 11 author per 10,000 9 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 fash 11 author per 10,000 0 dialect per 10,000 mair 11 author per 10,000 1 dialect per 10,000 made 11 author per 10,000 3 dialect per 10,000 weel 11 author per 10,000 18 dialect per 10,000 being 11 author per 10,000 0 dialect per 10,000 high 11 author per 10,000 4 dialect per 10,000 ben 11 author per 10,000 1 dialect per 10,000 didna 11 author per 10,000 9 dialect per 10,000 €™r 11 author per 10,000 0 dialect per 10,000 april 11 author per 10,000 1 dialect per 10,000 owre 11 author per 10,000 1 dialect per 10,000 faither 10 author per 10,000 2 dialect per 10,000 than 10 author per 10,000 13 dialect per 10,000 egg 10 author per 10,000 1 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 fish 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author per 10,000 1 dialect per 10,000 ken 9 author per 10,000 15 dialect per 10,000 much 9 author per 10,000 6 dialect per 10,000 ither 9 author per 10,000 9 dialect per 10,000 quaicked 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 muckle 9 author per 10,000 6 dialect per 10,000 cam 9 author per 10,000 8 dialect per 10,000 oor 9 author per 10,000 2 dialect per 10,000 your 9 author per 10,000 5 dialect per 10,000 hoast 9 author per 10,000 0 dialect per 10,000 wisna 9 author per 10,000 4 dialect per 10,000 sea 9 author per 10,000 7 dialect per 10,000 until 9 author per 10,000 2 dialect per 10,000 fine 9 author per 10,000 6 dialect per 10,000 affa 9 author per 10,000 0 dialect per 10,000 officer 9 author per 10,000 0 dialect per 10,000 lobby 9 author per 10,000 0 dialect per 10,000 aul 9 author per 10,000 0 dialect per 10,000 really 9 author per 10,000 4 dialect per 10,000 ahin 7 author per 10,000 0 dialect per 10,000 just 7 author per 10,000 2 dialect per 10,000 och 7 author per 10,000 1 dialect per 10,000 inside 7 author per 10,000 3 dialect per 10,000 anither 7 author per 10,000 8 dialect per 10,000 past 7 author per 10,000 3 dialect per 10,000 rope 7 author per 10,000 1 dialect per 10,000 half 7 author per 10,000 2 dialect per 10,000 end 7 author per 10,000 7 dialect per 10,000 loch 7 author per 10,000 1 dialect per 10,000 something 7 author per 10,000 2 dialect per 10,000
Southern
the 543 author per 10,000 438 dialect per 10,000 i 298 author per 10,000 78 dialect per 10,000 and 247 author per 10,000 15 dialect per 10,000 a 226 author per 10,000 223 dialect per 10,000 ma 173 author per 10,000 59 dialect per 10,000 €™s 164 author per 10,000 37 dialect per 10,000 tae 157 author per 10,000 203 dialect per 10,000 o 146 author per 10,000 214 dialect per 10,000 she 113 author per 10,000 97 dialect per 10,000 that 109 author per 10,000 64 dialect per 10,000 it 108 author per 10,000 58 dialect per 10,000 on 107 author per 10,000 56 dialect per 10,000 in 107 author per 10,000 106 dialect per 10,000 up 103 author per 10,000 41 dialect per 10,000 her 102 author per 10,000 16 dialect per 10,000 he 99 author per 10,000 11 dialect per 10,000 wis 86 author per 10,000 58 dialect per 10,000 to 80 author per 10,000 1 dialect per 10,000 for 79 author per 10,000 22 dialect per 10,000 €™ 78 author per 10,000 15 dialect per 10,000 oot 73 author per 10,000 35 dialect per 10,000 grunny 69 author per 10,000 0 dialect per 10,000 at 61 author per 10,000 74 dialect per 10,000 as 60 author per 10,000 50 dialect per 10,000 ye 57 author per 10,000 19 dialect per 10,000 this 54 author per 10,000 35 dialect per 10,000 back 51 author per 10,000 20 dialect per 10,000 is 50 author per 10,000 65 dialect per 10,000 his 50 author per 10,000 37 dialect per 10,000 but 49 author per 10,000 38 dialect per 10,000 doon 47 author per 10,000 25 dialect per 10,000 be 47 author per 10,000 12 dialect per 10,000 wi 45 author per 10,000 71 dialect per 10,000 fit 44 author per 10,000 6 dialect per 10,000 nae 41 author per 10,000 25 dialect per 10,000 like 40 author per 10,000 7 dialect per 10,000 fae 38 author per 10,000 0 dialect per 10,000 aa 36 author per 10,000 11 dialect per 10,000 they 36 author per 10,000 30 dialect per 10,000 there 32 author per 10,000 16 dialect per 10,000 een 30 author per 10,000 2 dialect per 10,000 day 30 author per 10,000 18 dialect per 10,000 him 30 author per 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Ulster
the 543 author per 10,000 296 dialect per 10,000 i 298 author per 10,000 10 dialect per 10,000 and 247 author per 10,000 10 dialect per 10,000 a 226 author per 10,000 284 dialect per 10,000 ma 173 author per 10,000 21 dialect per 10,000 €™s 164 author per 10,000 11 dialect per 10,000 tae 157 author per 10,000 259 dialect per 10,000 o 146 author per 10,000 210 dialect per 10,000 she 113 author per 10,000 13 dialect per 10,000 that 109 author per 10,000 72 dialect per 10,000 it 108 author per 10,000 71 dialect per 10,000 on 107 author per 10,000 54 dialect per 10,000 in 107 author per 10,000 120 dialect per 10,000 up 103 author per 10,000 31 dialect per 10,000 her 102 author per 10,000 7 dialect per 10,000 he 99 author per 10,000 63 dialect per 10,000 wis 86 author per 10,000 1 dialect per 10,000 to 80 author per 10,000 2 dialect per 10,000 for 79 author per 10,000 33 dialect per 10,000 €™ 78 author per 10,000 16 dialect per 10,000 oot 73 author per 10,000 51 dialect per 10,000 grunny 69 author per 10,000 0 dialect per 10,000 at 61 author per 10,000 58 dialect per 10,000 as 60 author per 10,000 29 dialect per 10,000 ye 57 author per 10,000 79 dialect per 10,000 this 54 author per 10,000 28 dialect per 10,000 back 51 author per 10,000 3 dialect per 10,000 is 50 author per 10,000 19 dialect per 10,000 his 50 author per 10,000 19 dialect per 10,000 but 49 author per 10,000 42 dialect per 10,000 doon 47 author per 10,000 28 dialect per 10,000 be 47 author per 10,000 40 dialect per 10,000 wi 45 author per 10,000 61 dialect per 10,000 fit 44 author per 10,000 4 dialect per 10,000 nae 41 author per 10,000 23 dialect per 10,000 like 40 author per 10,000 9 dialect per 10,000 fae 38 author per 10,000 14 dialect per 10,000 aa 36 author per 10,000 45 dialect per 10,000 they 36 author per 10,000 26 dialect per 10,000 there 32 author per 10,000 6 dialect per 10,000 een 30 author per 10,000 6 dialect per 10,000 day 30 author per 10,000 15 dialect per 10,000 him 30 author per 10,000 9 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