A Corpus of 21st Century Scots Texts

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Muir, Glenn


Total words by this author in corpus - 13,081
Total unique words used by this author in corpus - 3,244
Ratio of total words to unique words - 4.032
Top ten most common words - the, a, tae, wis, and, he, o, in, his, 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 601 author per 10,000 565 dialect per 10,000 a 322 author per 10,000 266 dialect per 10,000 tae 267 author per 10,000 211 dialect per 10,000 wis 207 author per 10,000 97 dialect per 10,000 and 186 author per 10,000 94 dialect per 10,000 he 172 author per 10,000 86 dialect per 10,000 o 151 author per 10,000 185 dialect per 10,000 in 138 author per 10,000 147 dialect per 10,000 his 131 author per 10,000 58 dialect per 10,000 that 110 author per 10,000 106 dialect per 10,000 it 92 author per 10,000 116 dialect per 10,000 wi 77 author per 10,000 67 dialect per 10,000 i 76 author per 10,000 39 dialect per 10,000 had 76 author per 10,000 22 dialect per 10,000 76 author per 10,000 22 dialect per 10,000 for 72 author per 10,000 48 dialect per 10,000 ye 66 author per 10,000 61 dialect per 10,000 they 65 author per 10,000 41 dialect per 10,000 on 63 author per 10,000 55 dialect per 10,000 at 57 author per 10,000 59 dialect per 10,000 an 57 author per 10,000 226 dialect per 10,000 we 50 author per 10,000 33 dialect per 10,000 be 50 author per 10,000 48 dialect per 10,000 oot 49 author per 10,000 40 dialect per 10,000 her 49 author per 10,000 47 dialect per 10,000 s 49 author per 10,000 32 dialect per 10,000 as 48 author per 10,000 59 dialect per 10,000 this 47 author per 10,000 41 dialect per 10,000 him 46 author per 10,000 29 dialect per 10,000 frae 41 author per 10,000 16 dialect per 10,000 wid 41 author per 10,000 8 dialect per 10,000 by 41 author per 10,000 17 dialect per 10,000 up 41 author per 10,000 40 dialect per 10,000 were 40 author per 10,000 15 dialect per 10,000 there 40 author per 10,000 23 dialect per 10,000 she 40 author per 10,000 56 dialect per 10,000 yin 38 author per 10,000 10 dialect per 10,000 when 36 author per 10,000 18 dialect per 10,000 but 35 author per 10,000 48 dialect per 10,000 aboot 34 author per 10,000 29 dialect per 10,000 did 34 author per 10,000 8 dialect per 10,000 is 33 author per 10,000 58 dialect per 10,000 jist 32 author per 10,000 20 dialect per 10,000 hae 31 author per 10,000 23 dialect per 10,000 said 31 author per 10,000 40 dialect per 10,000 ma 31 author per 10,000 51 dialect per 10,000 aa 31 author per 10,000 14 dialect per 10,000 whit 30 author per 10,000 29 dialect per 10,000 or 29 author per 10,000 29 dialect per 10,000 me 28 author per 10,000 40 dialect per 10,000 wee 28 author per 10,000 29 dialect per 10,000 been 28 author per 10,000 18 dialect per 10,000 then 27 author per 10,000 17 dialect per 10,000 us 27 author per 10,000 15 dialect per 10,000 noo 27 author per 10,000 14 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 13 dialect per 10,000 like 24 author per 10,000 28 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 cam 23 author per 10,000 8 dialect per 10,000 doon 23 author per 10,000 18 dialect per 10,000 time 23 author per 10,000 18 dialect per 10,000 dug 22 author per 10,000 2 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 no 22 author per 10,000 36 dialect per 10,000 oor 22 author per 10,000 15 dialect per 10,000 twa 21 author per 10,000 10 dialect per 10,000 yer 21 author per 10,000 20 dialect per 10,000 weel 21 author per 10,000 10 dialect per 10,000 nae 21 author per 10,000 24 dialect per 10,000 dorothy 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 17 dialect per 10,000 get 20 author per 10,000 14 dialect per 10,000 faither 20 author per 10,000 5 dialect per 10,000 mair 19 author per 10,000 20 dialect per 10,000 wisnae 19 author per 10,000 4 dialect per 10,000 an' 18 author per 10,000 4 dialect per 10,000 heid 18 author per 10,000 11 dialect per 10,000 was 18 author per 10,000 7 dialect per 10,000 back 17 author per 10,000 20 dialect per 10,000 if 17 author per 10,000 17 dialect per 10,000 got 17 author per 10,000 11 dialect per 10,000 wha 17 author per 10,000 8 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 didnae 16 author per 10,000 7 dialect per 10,000 of 16 author per 10,000 11 dialect per 10,000 aff 16 author per 10,000 14 dialect per 10,000 man 15 author per 10,000 11 dialect per 10,000 ae 15 author per 10,000 25 dialect per 10,000 ither 15 author per 10,000 11 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 14 dialect per 10,000 went 15 author per 10,000 7 dialect per 10,000 onie 14 author per 10,000 3 dialect per 10,000 sae 14 author per 10,000 16 dialect per 10,000 o' 14 author per 10,000 2 dialect per 10,000 oan 14 author per 10,000 20 dialect per 10,000 dave 14 author per 10,000 0 dialect per 10,000 ah 14 author per 10,000 73 dialect per 10,000 come 14 author per 10,000 9 dialect per 10,000 say 13 author per 10,000 10 dialect per 10,000 than 13 author per 10,000 10 dialect per 10,000 big 13 author per 10,000 8 dialect per 10,000 wolf 13 author per 10,000 0 dialect per 10,000 gied 12 author per 10,000 5 dialect per 10,000 which 12 author per 10,000 5 dialect per 10,000 way 12 author per 10,000 3 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 16 dialect per 10,000 hame 11 author per 10,000 6 dialect per 10,000 thocht 11 author per 10,000 8 dialect per 10,000 efter 11 author per 10,000 10 dialect per 10,000 bit 11 author per 10,000 18 dialect per 10,000 can 11 author per 10,000 14 dialect per 10,000 auld 11 author per 10,000 14 dialect per 10,000 telt 11 author per 10,000 5 dialect per 10,000 my 11 author per 10,000 6 dialect per 10,000 awa 11 author per 10,000 12 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 richt 11 author per 10,000 12 dialect per 10,000 fox 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 ken 11 author per 10,000 14 dialect per 10,000 much 10 author per 10,000 3 dialect per 10,000 wids 10 author per 10,000 0 dialect per 10,000 made 10 author per 10,000 7 dialect per 10,000 only 10 author per 10,000 6 dialect per 10,000 owre 10 author per 10,000 2 dialect per 10,000 pit 10 author per 10,000 9 dialect per 10,000 hoose 10 author per 10,000 7 dialect per 10,000 withoot 9 author per 10,000 1 dialect per 10,000 witch 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 7 dialect per 10,000 guid 9 author per 10,000 11 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 couldnae 9 author per 10,000 3 dialect per 10,000 davie 8 author per 10,000 1 dialect per 10,000 through 8 author per 10,000 6 dialect per 10,000 their 8 author per 10,000 19 dialect per 10,000 here 8 author per 10,000 12 dialect per 10,000 even 8 author per 10,000 9 dialect per 10,000 doris 8 author per 10,000 0 dialect per 10,000 still 8 author per 10,000 8 dialect per 10,000 ll 8 author per 10,000 4 dialect per 10,000 harry 8 author per 10,000 0 dialect per 10,000 last 8 author per 10,000 6 dialect per 10,000 cuid 8 author per 10,000 4 dialect per 10,000 sun 8 author per 10,000 2 dialect per 10,000 so 8 author per 10,000 10 dialect per 10,000 fund 8 author per 10,000 3 dialect per 10,000 let 8 author per 10,000 4 dialect per 10,000 wi' 8 author per 10,000 1 dialect per 10,000 really 8 author per 10,000 4 dialect per 10,000 folk 8 author per 10,000 5 dialect per 10,000 city 8 author per 10,000 1 dialect per 10,000 think 8 author per 10,000 9 dialect per 10,000 eftir 8 author per 10,000 2 dialect per 10,000 awfie 8 author per 10,000 2 dialect per 10,000 name 8 author per 10,000 4 dialect per 10,000 bad 8 author per 10,000 3 dialect per 10,000 well 8 author per 10,000 4 dialect per 10,000 a' 8 author per 10,000 1 dialect per 10,000 mind 8 author per 10,000 8 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 1 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 3 dialect per 10,000 alang 8 author per 10,000 4 dialect per 10,000 tell 8 author per 10,000 8 dialect per 10,000 being 8 author per 10,000 1 dialect per 10,000 een 7 author per 10,000 5 dialect per 10,000 says 7 author per 10,000 7 dialect per 10,000 will 7 author per 10,000 10 dialect per 10,000 tak 7 author per 10,000 8 dialect per 10,000 quite 7 author per 10,000 2 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 6 dialect per 10,000 something 7 author per 10,000 1 dialect per 10,000 could 7 author per 10,000 9 dialect per 10,000 year 7 author per 10,000 7 dialect per 10,000 dinnae 7 author per 10,000 6 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 1 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 1 dialect per 10,000 it's 6 author per 10,000 17 dialect per 10,000 great 6 author per 10,000 3 dialect per 10,000 next 6 author per 10,000 3 dialect per 10,000 three 6 author per 10,000 5 dialect per 10,000 tree 6 author per 10,000 1 dialect per 10,000 high 6 author per 10,000 2 dialect per 10,000 face 6 author per 10,000 5 dialect per 10,000 toon 6 author per 10,000 1 dialect per 10,000 ee 6 author per 10,000 2 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 4 dialect per 10,000 frank 6 author per 10,000 0 dialect per 10,000 took 6 author per 10,000 3 dialect per 10,000 pride 6 author per 10,000 1 dialect per 10,000 whilst 6 author per 10,000 0 dialect per 10,000 		Doric
the 601 author per 10,000 452 dialect per 10,000 a 322 author per 10,000 315 dialect per 10,000 tae 267 author per 10,000 171 dialect per 10,000 wis 207 author per 10,000 105 dialect per 10,000 and 186 author per 10,000 41 dialect per 10,000 he 172 author per 10,000 96 dialect per 10,000 o 151 author per 10,000 176 dialect per 10,000 in 138 author per 10,000 130 dialect per 10,000 his 131 author per 10,000 69 dialect per 10,000 that 110 author per 10,000 53 dialect per 10,000 it 92 author per 10,000 99 dialect per 10,000 wi 77 author per 10,000 77 dialect per 10,000 i 76 author per 10,000 68 dialect per 10,000 had 76 author per 10,000 4 dialect per 10,000 76 author per 10,000 16 dialect per 10,000 for 72 author per 10,000 45 dialect per 10,000 ye 66 author per 10,000 93 dialect per 10,000 they 65 author per 10,000 36 dialect per 10,000 on 63 author per 10,000 67 dialect per 10,000 at 57 author per 10,000 68 dialect per 10,000 an 57 author per 10,000 306 dialect per 10,000 we 50 author per 10,000 33 dialect per 10,000 be 50 author per 10,000 45 dialect per 10,000 oot 49 author per 10,000 50 dialect per 10,000 her 49 author per 10,000 64 dialect per 10,000 s 49 author per 10,000 21 dialect per 10,000 as 48 author per 10,000 52 dialect per 10,000 this 47 author per 10,000 19 dialect per 10,000 him 46 author per 10,000 30 dialect per 10,000 frae 41 author per 10,000 10 dialect per 10,000 wid 41 author per 10,000 18 dialect per 10,000 by 41 author per 10,000 9 dialect per 10,000 up 41 author per 10,000 47 dialect per 10,000 were 40 author per 10,000 13 dialect per 10,000 there 40 author per 10,000 22 dialect per 10,000 she 40 author per 10,000 66 dialect per 10,000 yin 38 author per 10,000 2 dialect per 10,000 when 36 author per 10,000 3 dialect per 10,000 but 35 author per 10,000 25 dialect per 10,000 aboot 34 author per 10,000 33 dialect per 10,000 did 34 author per 10,000 10 dialect per 10,000 is 33 author per 10,000 39 dialect per 10,000 jist 32 author per 10,000 36 dialect per 10,000 hae 31 author per 10,000 20 dialect per 10,000 said 31 author per 10,000 36 dialect per 10,000 ma 31 author per 10,000 50 dialect per 10,000 aa 31 author per 10,000 43 dialect per 10,000 whit 30 author per 10,000 2 dialect per 10,000 or 29 author per 10,000 26 dialect per 10,000 me 28 author per 10,000 32 dialect per 10,000 wee 28 author per 10,000 18 dialect per 10,000 been 28 author per 10,000 13 dialect per 10,000 then 27 author per 10,000 9 dialect per 10,000 us 27 author per 10,000 6 dialect per 10,000 noo 27 author per 10,000 23 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 13 dialect per 10,000 like 24 author per 10,000 37 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 cam 23 author per 10,000 12 dialect per 10,000 doon 23 author per 10,000 33 dialect per 10,000 time 23 author per 10,000 19 dialect per 10,000 dug 22 author per 10,000 1 dialect per 10,000 them 22 author per 10,000 23 dialect per 10,000 no 22 author per 10,000 7 dialect per 10,000 oor 22 author per 10,000 8 dialect per 10,000 twa 21 author per 10,000 18 dialect per 10,000 yer 21 author per 10,000 35 dialect per 10,000 weel 21 author per 10,000 19 dialect per 10,000 nae 21 author per 10,000 50 dialect per 10,000 dorothy 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 13 dialect per 10,000 get 20 author per 10,000 16 dialect per 10,000 faither 20 author per 10,000 5 dialect per 10,000 mair 19 author per 10,000 17 dialect per 10,000 wisnae 19 author per 10,000 2 dialect per 10,000 an' 18 author per 10,000 2 dialect per 10,000 heid 18 author per 10,000 12 dialect per 10,000 was 18 author per 10,000 10 dialect per 10,000 back 17 author per 10,000 21 dialect per 10,000 if 17 author per 10,000 16 dialect per 10,000 got 17 author per 10,000 14 dialect per 10,000 wha 17 author per 10,000 1 dialect per 10,000 see 17 author per 10,000 21 dialect per 10,000 didnae 16 author per 10,000 2 dialect per 10,000 of 16 author per 10,000 8 dialect per 10,000 aff 16 author per 10,000 14 dialect per 10,000 man 15 author per 10,000 7 dialect per 10,000 ae 15 author per 10,000 7 dialect per 10,000 ither 15 author per 10,000 8 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 26 dialect per 10,000 went 15 author per 10,000 4 dialect per 10,000 onie 14 author per 10,000 0 dialect per 10,000 sae 14 author per 10,000 14 dialect per 10,000 o' 14 author per 10,000 5 dialect per 10,000 oan 14 author per 10,000 8 dialect per 10,000 dave 14 author per 10,000 0 dialect per 10,000 ah 14 author per 10,000 41 dialect per 10,000 come 14 author per 10,000 13 dialect per 10,000 say 13 author per 10,000 14 dialect per 10,000 than 13 author per 10,000 8 dialect per 10,000 big 13 author per 10,000 6 dialect per 10,000 wolf 13 author per 10,000 0 dialect per 10,000 gied 12 author per 10,000 5 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 22 dialect per 10,000 hame 11 author per 10,000 11 dialect per 10,000 thocht 11 author per 10,000 14 dialect per 10,000 efter 11 author per 10,000 10 dialect per 10,000 bit 11 author per 10,000 43 dialect per 10,000 can 11 author per 10,000 12 dialect per 10,000 auld 11 author per 10,000 8 dialect per 10,000 telt 11 author per 10,000 7 dialect per 10,000 my 11 author per 10,000 11 dialect per 10,000 awa 11 author per 10,000 21 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 richt 11 author per 10,000 19 dialect per 10,000 fox 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 8 dialect per 10,000 ken 11 author per 10,000 23 dialect per 10,000 much 10 author per 10,000 4 dialect per 10,000 wids 10 author per 10,000 1 dialect per 10,000 made 10 author per 10,000 8 dialect per 10,000 only 10 author per 10,000 6 dialect per 10,000 owre 10 author per 10,000 1 dialect per 10,000 pit 10 author per 10,000 9 dialect per 10,000 hoose 10 author per 10,000 10 dialect per 10,000 withoot 9 author per 10,000 2 dialect per 10,000 witch 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 6 dialect per 10,000 guid 9 author per 10,000 4 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 davie 8 author per 10,000 1 dialect per 10,000 through 8 author per 10,000 3 dialect per 10,000 their 8 author per 10,000 19 dialect per 10,000 here 8 author per 10,000 11 dialect per 10,000 even 8 author per 10,000 6 dialect per 10,000 doris 8 author per 10,000 0 dialect per 10,000 still 8 author per 10,000 6 dialect per 10,000 ll 8 author per 10,000 4 dialect per 10,000 harry 8 author per 10,000 1 dialect per 10,000 last 8 author per 10,000 5 dialect per 10,000 cuid 8 author per 10,000 0 dialect per 10,000 sun 8 author per 10,000 2 dialect per 10,000 so 8 author per 10,000 17 dialect per 10,000 fund 8 author per 10,000 0 dialect per 10,000 let 8 author per 10,000 5 dialect per 10,000 wi' 8 author per 10,000 3 dialect per 10,000 really 8 author per 10,000 4 dialect per 10,000 folk 8 author per 10,000 4 dialect per 10,000 city 8 author per 10,000 1 dialect per 10,000 think 8 author per 10,000 11 dialect per 10,000 eftir 8 author per 10,000 0 dialect per 10,000 awfie 8 author per 10,000 0 dialect per 10,000 name 8 author per 10,000 4 dialect per 10,000 bad 8 author per 10,000 2 dialect per 10,000 well 8 author per 10,000 2 dialect per 10,000 a' 8 author per 10,000 1 dialect per 10,000 mind 8 author per 10,000 5 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 1 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 2 dialect per 10,000 alang 8 author per 10,000 2 dialect per 10,000 tell 8 author per 10,000 9 dialect per 10,000 being 8 author per 10,000 1 dialect per 10,000 een 7 author per 10,000 19 dialect per 10,000 says 7 author per 10,000 10 dialect per 10,000 will 7 author per 10,000 9 dialect per 10,000 tak 7 author per 10,000 11 dialect per 10,000 quite 7 author per 10,000 2 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 0 dialect per 10,000 something 7 author per 10,000 2 dialect per 10,000 could 7 author per 10,000 8 dialect per 10,000 year 7 author per 10,000 5 dialect per 10,000 dinnae 7 author per 10,000 1 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 1 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 1 dialect per 10,000 it's 6 author per 10,000 19 dialect per 10,000 great 6 author per 10,000 5 dialect per 10,000 next 6 author per 10,000 3 dialect per 10,000 three 6 author per 10,000 6 dialect per 10,000 tree 6 author per 10,000 3 dialect per 10,000 high 6 author per 10,000 1 dialect per 10,000 face 6 author per 10,000 7 dialect per 10,000 toon 6 author per 10,000 4 dialect per 10,000 ee 6 author per 10,000 9 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 2 dialect per 10,000 frank 6 author per 10,000 0 dialect per 10,000 took 6 author per 10,000 4 dialect per 10,000 pride 6 author per 10,000 1 dialect per 10,000 whilst 6 author per 10,000 0 dialect per 10,000
Shetland
the 601 author per 10,000 18 dialect per 10,000 a 322 author per 10,000 280 dialect per 10,000 tae 267 author per 10,000 86 dialect per 10,000 wis 207 author per 10,000 162 dialect per 10,000 and 186 author per 10,000 15 dialect per 10,000 he 172 author per 10,000 103 dialect per 10,000 o 151 author per 10,000 177 dialect per 10,000 in 138 author per 10,000 105 dialect per 10,000 his 131 author per 10,000 52 dialect per 10,000 that 110 author per 10,000 4 dialect per 10,000 it 92 author per 10,000 58 dialect per 10,000 wi 77 author per 10,000 95 dialect per 10,000 i 76 author per 10,000 143 dialect per 10,000 had 76 author per 10,000 2 dialect per 10,000 76 author per 10,000 17 dialect per 10,000 for 72 author per 10,000 35 dialect per 10,000 ye 66 author per 10,000 0 dialect per 10,000 they 65 author per 10,000 2 dialect per 10,000 on 63 author per 10,000 52 dialect per 10,000 at 57 author per 10,000 112 dialect per 10,000 an 57 author per 10,000 330 dialect per 10,000 we 50 author per 10,000 44 dialect per 10,000 be 50 author per 10,000 56 dialect per 10,000 oot 49 author per 10,000 42 dialect per 10,000 her 49 author per 10,000 64 dialect per 10,000 s 49 author per 10,000 15 dialect per 10,000 as 48 author per 10,000 79 dialect per 10,000 this 47 author per 10,000 1 dialect per 10,000 him 46 author per 10,000 47 dialect per 10,000 frae 41 author per 10,000 0 dialect per 10,000 wid 41 author per 10,000 38 dialect per 10,000 by 41 author per 10,000 7 dialect per 10,000 up 41 author per 10,000 42 dialect per 10,000 were 40 author per 10,000 3 dialect per 10,000 there 40 author per 10,000 1 dialect per 10,000 she 40 author per 10,000 7 dialect per 10,000 yin 38 author per 10,000 0 dialect per 10,000 when 36 author per 10,000 5 dialect per 10,000 but 35 author per 10,000 29 dialect per 10,000 aboot 34 author per 10,000 41 dialect per 10,000 did 34 author per 10,000 9 dialect per 10,000 is 33 author per 10,000 81 dialect per 10,000 jist 32 author per 10,000 0 dialect per 10,000 hae 31 author per 10,000 25 dialect per 10,000 said 31 author per 10,000 61 dialect per 10,000 ma 31 author per 10,000 0 dialect per 10,000 aa 31 author per 10,000 51 dialect per 10,000 whit 30 author per 10,000 39 dialect per 10,000 or 29 author per 10,000 32 dialect per 10,000 me 28 author per 10,000 41 dialect per 10,000 wee 28 author per 10,000 0 dialect per 10,000 been 28 author per 10,000 16 dialect per 10,000 then 27 author per 10,000 1 dialect per 10,000 us 27 author per 10,000 0 dialect per 10,000 noo 27 author per 10,000 19 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 13 dialect per 10,000 like 24 author per 10,000 2 dialect per 10,000 intae 24 author per 10,000 8 dialect per 10,000 cam 23 author per 10,000 22 dialect per 10,000 doon 23 author per 10,000 22 dialect per 10,000 time 23 author per 10,000 21 dialect per 10,000 dug 22 author per 10,000 2 dialect per 10,000 them 22 author per 10,000 1 dialect per 10,000 no 22 author per 10,000 35 dialect per 10,000 oor 22 author per 10,000 1 dialect per 10,000 twa 21 author per 10,000 13 dialect per 10,000 yer 21 author per 10,000 0 dialect per 10,000 weel 21 author per 10,000 18 dialect per 10,000 nae 21 author per 10,000 23 dialect per 10,000 dorothy 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 2 dialect per 10,000 get 20 author per 10,000 6 dialect per 10,000 faither 20 author per 10,000 0 dialect per 10,000 mair 19 author per 10,000 19 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000 an' 18 author per 10,000 1 dialect per 10,000 heid 18 author per 10,000 2 dialect per 10,000 was 18 author per 10,000 3 dialect per 10,000 back 17 author per 10,000 18 dialect per 10,000 if 17 author per 10,000 25 dialect per 10,000 got 17 author per 10,000 8 dialect per 10,000 wha 17 author per 10,000 5 dialect per 10,000 see 17 author per 10,000 20 dialect per 10,000 didnae 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 11 dialect per 10,000 aff 16 author per 10,000 18 dialect per 10,000 man 15 author per 10,000 17 dialect per 10,000 ae 15 author per 10,000 1 dialect per 10,000 ither 15 author per 10,000 0 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 18 dialect per 10,000 went 15 author per 10,000 0 dialect per 10,000 onie 14 author per 10,000 0 dialect per 10,000 sae 14 author per 10,000 8 dialect per 10,000 o' 14 author per 10,000 0 dialect per 10,000 oan 14 author per 10,000 0 dialect per 10,000 dave 14 author per 10,000 0 dialect per 10,000 ah 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 19 dialect per 10,000 say 13 author per 10,000 11 dialect per 10,000 than 13 author per 10,000 0 dialect per 10,000 big 13 author per 10,000 3 dialect per 10,000 wolf 13 author per 10,000 1 dialect per 10,000 gied 12 author per 10,000 8 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 way 12 author per 10,000 0 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 11 dialect per 10,000 hame 11 author per 10,000 7 dialect per 10,000 thocht 11 author per 10,000 0 dialect per 10,000 efter 11 author per 10,000 9 dialect per 10,000 bit 11 author per 10,000 38 dialect per 10,000 can 11 author per 10,000 20 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 telt 11 author per 10,000 7 dialect per 10,000 my 11 author per 10,000 23 dialect per 10,000 awa 11 author per 10,000 13 dialect per 10,000 gie 11 author per 10,000 9 dialect per 10,000 richt 11 author per 10,000 13 dialect per 10,000 fox 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 14 dialect per 10,000 much 10 author per 10,000 2 dialect per 10,000 wids 10 author per 10,000 0 dialect per 10,000 made 10 author per 10,000 1 dialect per 10,000 only 10 author per 10,000 5 dialect per 10,000 owre 10 author per 10,000 2 dialect per 10,000 pit 10 author per 10,000 6 dialect per 10,000 hoose 10 author per 10,000 8 dialect per 10,000 withoot 9 author per 10,000 1 dialect per 10,000 witch 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 7 dialect per 10,000 guid 9 author per 10,000 12 dialect per 10,000 first 9 author per 10,000 10 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 davie 8 author per 10,000 0 dialect per 10,000 through 8 author per 10,000 0 dialect per 10,000 their 8 author per 10,000 1 dialect per 10,000 here 8 author per 10,000 11 dialect per 10,000 even 8 author per 10,000 10 dialect per 10,000 doris 8 author per 10,000 1 dialect per 10,000 still 8 author per 10,000 9 dialect per 10,000 ll 8 author per 10,000 5 dialect per 10,000 harry 8 author per 10,000 1 dialect per 10,000 last 8 author per 10,000 6 dialect per 10,000 cuid 8 author per 10,000 0 dialect per 10,000 sun 8 author per 10,000 3 dialect per 10,000 so 8 author per 10,000 26 dialect per 10,000 fund 8 author per 10,000 0 dialect per 10,000 let 8 author per 10,000 1 dialect per 10,000 wi' 8 author per 10,000 0 dialect per 10,000 really 8 author per 10,000 2 dialect per 10,000 folk 8 author per 10,000 1 dialect per 10,000 city 8 author per 10,000 0 dialect per 10,000 think 8 author per 10,000 1 dialect per 10,000 eftir 8 author per 10,000 5 dialect per 10,000 awfie 8 author per 10,000 0 dialect per 10,000 name 8 author per 10,000 4 dialect per 10,000 bad 8 author per 10,000 1 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 a' 8 author per 10,000 0 dialect per 10,000 mind 8 author per 10,000 10 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 3 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 3 dialect per 10,000 alang 8 author per 10,000 6 dialect per 10,000 tell 8 author per 10,000 8 dialect per 10,000 being 8 author per 10,000 0 dialect per 10,000 een 7 author per 10,000 20 dialect per 10,000 says 7 author per 10,000 5 dialect per 10,000 will 7 author per 10,000 9 dialect per 10,000 tak 7 author per 10,000 12 dialect per 10,000 quite 7 author per 10,000 0 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 0 dialect per 10,000 something 7 author per 10,000 1 dialect per 10,000 could 7 author per 10,000 12 dialect per 10,000 year 7 author per 10,000 7 dialect per 10,000 dinnae 7 author per 10,000 0 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 3 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 0 dialect per 10,000 it's 6 author per 10,000 8 dialect per 10,000 great 6 author per 10,000 1 dialect per 10,000 next 6 author per 10,000 1 dialect per 10,000 three 6 author per 10,000 0 dialect per 10,000 tree 6 author per 10,000 7 dialect per 10,000 high 6 author per 10,000 2 dialect per 10,000 face 6 author per 10,000 6 dialect per 10,000 toon 6 author per 10,000 3 dialect per 10,000 ee 6 author per 10,000 11 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 0 dialect per 10,000 frank 6 author per 10,000 0 dialect per 10,000 took 6 author per 10,000 9 dialect per 10,000 pride 6 author per 10,000 0 dialect per 10,000 whilst 6 author per 10,000 0 dialect per 10,000 		Orkney
the 601 author per 10,000 582 dialect per 10,000 a 322 author per 10,000 298 dialect per 10,000 tae 267 author per 10,000 223 dialect per 10,000 wis 207 author per 10,000 80 dialect per 10,000 and 186 author per 10,000 199 dialect per 10,000 he 172 author per 10,000 85 dialect per 10,000 o 151 author per 10,000 202 dialect per 10,000 in 138 author per 10,000 146 dialect per 10,000 his 131 author per 10,000 61 dialect per 10,000 that 110 author per 10,000 75 dialect per 10,000 it 92 author per 10,000 23 dialect per 10,000 wi 77 author per 10,000 46 dialect per 10,000 i 76 author per 10,000 158 dialect per 10,000 had 76 author per 10,000 3 dialect per 10,000 76 author per 10,000 5 dialect per 10,000 for 72 author per 10,000 26 dialect per 10,000 ye 66 author per 10,000 17 dialect per 10,000 they 65 author per 10,000 37 dialect per 10,000 on 63 author per 10,000 73 dialect per 10,000 at 57 author per 10,000 54 dialect per 10,000 an 57 author per 10,000 172 dialect per 10,000 we 50 author per 10,000 29 dialect per 10,000 be 50 author per 10,000 42 dialect per 10,000 oot 49 author per 10,000 50 dialect per 10,000 her 49 author per 10,000 49 dialect per 10,000 s 49 author per 10,000 17 dialect per 10,000 as 48 author per 10,000 48 dialect per 10,000 this 47 author per 10,000 34 dialect per 10,000 him 46 author per 10,000 21 dialect per 10,000 frae 41 author per 10,000 0 dialect per 10,000 wid 41 author per 10,000 20 dialect per 10,000 by 41 author per 10,000 16 dialect per 10,000 up 41 author per 10,000 34 dialect per 10,000 were 40 author per 10,000 6 dialect per 10,000 there 40 author per 10,000 18 dialect per 10,000 she 40 author per 10,000 9 dialect per 10,000 yin 38 author per 10,000 2 dialect per 10,000 when 36 author per 10,000 23 dialect per 10,000 but 35 author per 10,000 28 dialect per 10,000 aboot 34 author per 10,000 26 dialect per 10,000 did 34 author per 10,000 8 dialect per 10,000 is 33 author per 10,000 71 dialect per 10,000 jist 32 author per 10,000 3 dialect per 10,000 hae 31 author per 10,000 11 dialect per 10,000 said 31 author per 10,000 15 dialect per 10,000 ma 31 author per 10,000 1 dialect per 10,000 aa 31 author per 10,000 8 dialect per 10,000 whit 30 author per 10,000 29 dialect per 10,000 or 29 author per 10,000 30 dialect per 10,000 me 28 author per 10,000 115 dialect per 10,000 wee 28 author per 10,000 1 dialect per 10,000 been 28 author per 10,000 18 dialect per 10,000 then 27 author per 10,000 18 dialect per 10,000 us 27 author per 10,000 6 dialect per 10,000 noo 27 author per 10,000 27 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 17 dialect per 10,000 like 24 author per 10,000 31 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 cam 23 author per 10,000 8 dialect per 10,000 doon 23 author per 10,000 28 dialect per 10,000 time 23 author per 10,000 18 dialect per 10,000 dug 22 author per 10,000 0 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 no 22 author per 10,000 58 dialect per 10,000 oor 22 author per 10,000 2 dialect per 10,000 twa 21 author per 10,000 10 dialect per 10,000 yer 21 author per 10,000 7 dialect per 10,000 weel 21 author per 10,000 17 dialect per 10,000 nae 21 author per 10,000 3 dialect per 10,000 dorothy 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 14 dialect per 10,000 get 20 author per 10,000 9 dialect per 10,000 faither 20 author per 10,000 2 dialect per 10,000 mair 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000 an' 18 author per 10,000 0 dialect per 10,000 heid 18 author per 10,000 5 dialect per 10,000 was 18 author per 10,000 2 dialect per 10,000 back 17 author per 10,000 26 dialect per 10,000 if 17 author per 10,000 15 dialect per 10,000 got 17 author per 10,000 11 dialect per 10,000 wha 17 author per 10,000 4 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 didnae 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 6 dialect per 10,000 aff 16 author per 10,000 8 dialect per 10,000 man 15 author per 10,000 12 dialect per 10,000 ae 15 author per 10,000 1 dialect per 10,000 ither 15 author per 10,000 9 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 20 dialect per 10,000 went 15 author per 10,000 1 dialect per 10,000 onie 14 author per 10,000 0 dialect per 10,000 sae 14 author per 10,000 1 dialect per 10,000 o' 14 author per 10,000 6 dialect per 10,000 oan 14 author per 10,000 10 dialect per 10,000 dave 14 author per 10,000 0 dialect per 10,000 ah 14 author per 10,000 2 dialect per 10,000 come 14 author per 10,000 11 dialect per 10,000 say 13 author per 10,000 10 dialect per 10,000 than 13 author per 10,000 12 dialect per 10,000 big 13 author per 10,000 7 dialect per 10,000 wolf 13 author per 10,000 0 dialect per 10,000 gied 12 author per 10,000 2 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 9 dialect per 10,000 hame 11 author per 10,000 1 dialect per 10,000 thocht 11 author per 10,000 0 dialect per 10,000 efter 11 author per 10,000 6 dialect per 10,000 bit 11 author per 10,000 48 dialect per 10,000 can 11 author per 10,000 13 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 telt 11 author per 10,000 4 dialect per 10,000 my 11 author per 10,000 5 dialect per 10,000 awa 11 author per 10,000 1 dialect per 10,000 gie 11 author per 10,000 2 dialect per 10,000 richt 11 author per 10,000 0 dialect per 10,000 fox 11 author per 10,000 1 dialect per 10,000 mither 11 author per 10,000 5 dialect per 10,000 ken 11 author per 10,000 15 dialect per 10,000 much 10 author per 10,000 6 dialect per 10,000 wids 10 author per 10,000 0 dialect per 10,000 made 10 author per 10,000 3 dialect per 10,000 only 10 author per 10,000 7 dialect per 10,000 owre 10 author per 10,000 1 dialect per 10,000 pit 10 author per 10,000 5 dialect per 10,000 hoose 10 author per 10,000 11 dialect per 10,000 withoot 9 author per 10,000 2 dialect per 10,000 witch 9 author per 10,000 2 dialect per 10,000 life 9 author per 10,000 7 dialect per 10,000 guid 9 author per 10,000 2 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 davie 8 author per 10,000 1 dialect per 10,000 through 8 author per 10,000 9 dialect per 10,000 their 8 author per 10,000 8 dialect per 10,000 here 8 author per 10,000 12 dialect per 10,000 even 8 author per 10,000 6 dialect per 10,000 doris 8 author per 10,000 0 dialect per 10,000 still 8 author per 10,000 12 dialect per 10,000 ll 8 author per 10,000 2 dialect per 10,000 harry 8 author per 10,000 1 dialect per 10,000 last 8 author per 10,000 8 dialect per 10,000 cuid 8 author per 10,000 0 dialect per 10,000 sun 8 author per 10,000 3 dialect per 10,000 so 8 author per 10,000 30 dialect per 10,000 fund 8 author per 10,000 4 dialect per 10,000 let 8 author per 10,000 3 dialect per 10,000 wi' 8 author per 10,000 0 dialect per 10,000 really 8 author per 10,000 4 dialect per 10,000 folk 8 author per 10,000 9 dialect per 10,000 city 8 author per 10,000 0 dialect per 10,000 think 8 author per 10,000 10 dialect per 10,000 eftir 8 author per 10,000 3 dialect per 10,000 awfie 8 author per 10,000 0 dialect per 10,000 name 8 author per 10,000 2 dialect per 10,000 bad 8 author per 10,000 3 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 a' 8 author per 10,000 0 dialect per 10,000 mind 8 author per 10,000 9 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 4 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 11 dialect per 10,000 alang 8 author per 10,000 1 dialect per 10,000 tell 8 author per 10,000 6 dialect per 10,000 being 8 author per 10,000 0 dialect per 10,000 een 7 author per 10,000 4 dialect per 10,000 says 7 author per 10,000 15 dialect per 10,000 will 7 author per 10,000 12 dialect per 10,000 tak 7 author per 10,000 12 dialect per 10,000 quite 7 author per 10,000 2 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 30 dialect per 10,000 something 7 author per 10,000 2 dialect per 10,000 could 7 author per 10,000 13 dialect per 10,000 year 7 author per 10,000 7 dialect per 10,000 dinnae 7 author per 10,000 0 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 6 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 0 dialect per 10,000 it's 6 author per 10,000 4 dialect per 10,000 great 6 author per 10,000 4 dialect per 10,000 next 6 author per 10,000 4 dialect per 10,000 three 6 author per 10,000 4 dialect per 10,000 tree 6 author per 10,000 1 dialect per 10,000 high 6 author per 10,000 4 dialect per 10,000 face 6 author per 10,000 7 dialect per 10,000 toon 6 author per 10,000 4 dialect per 10,000 ee 6 author per 10,000 1 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 0 dialect per 10,000 frank 6 author per 10,000 0 dialect per 10,000 took 6 author per 10,000 3 dialect per 10,000 pride 6 author per 10,000 1 dialect per 10,000 whilst 6 author per 10,000 0 dialect per 10,000
Southern
the 601 author per 10,000 449 dialect per 10,000 a 322 author per 10,000 230 dialect per 10,000 tae 267 author per 10,000 206 dialect per 10,000 wis 207 author per 10,000 54 dialect per 10,000 and 186 author per 10,000 33 dialect per 10,000 he 172 author per 10,000 12 dialect per 10,000 o 151 author per 10,000 200 dialect per 10,000 in 138 author per 10,000 107 dialect per 10,000 his 131 author per 10,000 37 dialect per 10,000 that 110 author per 10,000 65 dialect per 10,000 it 92 author per 10,000 63 dialect per 10,000 wi 77 author per 10,000 66 dialect per 10,000 i 76 author per 10,000 74 dialect per 10,000 had 76 author per 10,000 0 dialect per 10,000 76 author per 10,000 14 dialect per 10,000 for 72 author per 10,000 22 dialect per 10,000 ye 66 author per 10,000 21 dialect per 10,000 they 65 author per 10,000 31 dialect per 10,000 on 63 author per 10,000 55 dialect per 10,000 at 57 author per 10,000 69 dialect per 10,000 an 57 author per 10,000 289 dialect per 10,000 we 50 author per 10,000 10 dialect per 10,000 be 50 author per 10,000 13 dialect per 10,000 oot 49 author per 10,000 34 dialect per 10,000 her 49 author per 10,000 17 dialect per 10,000 s 49 author per 10,000 34 dialect per 10,000 as 48 author per 10,000 50 dialect per 10,000 this 47 author per 10,000 35 dialect per 10,000 him 46 author per 10,000 11 dialect per 10,000 frae 41 author per 10,000 42 dialect per 10,000 wid 41 author per 10,000 1 dialect per 10,000 by 41 author per 10,000 5 dialect per 10,000 up 41 author per 10,000 41 dialect per 10,000 were 40 author per 10,000 15 dialect per 10,000 there 40 author per 10,000 16 dialect per 10,000 she 40 author per 10,000 91 dialect per 10,000 yin 38 author per 10,000 22 dialect per 10,000 when 36 author per 10,000 16 dialect per 10,000 but 35 author per 10,000 42 dialect per 10,000 aboot 34 author per 10,000 29 dialect per 10,000 did 34 author per 10,000 11 dialect per 10,000 is 33 author per 10,000 62 dialect per 10,000 jist 32 author per 10,000 11 dialect per 10,000 hae 31 author per 10,000 35 dialect per 10,000 said 31 author per 10,000 65 dialect per 10,000 ma 31 author per 10,000 59 dialect per 10,000 aa 31 author per 10,000 10 dialect per 10,000 whit 30 author per 10,000 30 dialect per 10,000 or 29 author per 10,000 22 dialect per 10,000 me 28 author per 10,000 16 dialect per 10,000 wee 28 author per 10,000 23 dialect per 10,000 been 28 author per 10,000 10 dialect per 10,000 then 27 author per 10,000 17 dialect per 10,000 us 27 author per 10,000 5 dialect per 10,000 noo 27 author per 10,000 16 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 12 dialect per 10,000 like 24 author per 10,000 8 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 cam 23 author per 10,000 3 dialect per 10,000 doon 23 author per 10,000 24 dialect per 10,000 time 23 author per 10,000 14 dialect per 10,000 dug 22 author per 10,000 1 dialect per 10,000 them 22 author per 10,000 5 dialect per 10,000 no 22 author per 10,000 28 dialect per 10,000 oor 22 author per 10,000 11 dialect per 10,000 twa 21 author per 10,000 2 dialect per 10,000 yer 21 author per 10,000 17 dialect per 10,000 weel 21 author per 10,000 4 dialect per 10,000 nae 21 author per 10,000 25 dialect per 10,000 dorothy 21 author per 10,000 1 dialect per 10,000 are 21 author per 10,000 9 dialect per 10,000 get 20 author per 10,000 10 dialect per 10,000 faither 20 author per 10,000 8 dialect per 10,000 mair 19 author per 10,000 16 dialect per 10,000 wisnae 19 author per 10,000 3 dialect per 10,000 an' 18 author per 10,000 1 dialect per 10,000 heid 18 author per 10,000 16 dialect per 10,000 was 18 author per 10,000 58 dialect per 10,000 back 17 author per 10,000 19 dialect per 10,000 if 17 author per 10,000 17 dialect per 10,000 got 17 author per 10,000 10 dialect per 10,000 wha 17 author per 10,000 1 dialect per 10,000 see 17 author per 10,000 5 dialect per 10,000 didnae 16 author per 10,000 5 dialect per 10,000 of 16 author per 10,000 10 dialect per 10,000 aff 16 author per 10,000 4 dialect per 10,000 man 15 author per 10,000 7 dialect per 10,000 ae 15 author per 10,000 67 dialect per 10,000 ither 15 author per 10,000 12 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 17 dialect per 10,000 went 15 author per 10,000 13 dialect per 10,000 onie 14 author per 10,000 4 dialect per 10,000 sae 14 author per 10,000 28 dialect per 10,000 o' 14 author per 10,000 14 dialect per 10,000 oan 14 author per 10,000 33 dialect per 10,000 dave 14 author per 10,000 1 dialect per 10,000 ah 14 author per 10,000 75 dialect per 10,000 come 14 author per 10,000 9 dialect per 10,000 say 13 author per 10,000 17 dialect per 10,000 than 13 author per 10,000 8 dialect per 10,000 big 13 author per 10,000 5 dialect per 10,000 wolf 13 author per 10,000 1 dialect per 10,000 gied 12 author per 10,000 1 dialect per 10,000 which 12 author per 10,000 8 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 11 dialect per 10,000 hame 11 author per 10,000 8 dialect per 10,000 thocht 11 author per 10,000 13 dialect per 10,000 efter 11 author per 10,000 13 dialect per 10,000 bit 11 author per 10,000 14 dialect per 10,000 can 11 author per 10,000 10 dialect per 10,000 auld 11 author per 10,000 22 dialect per 10,000 telt 11 author per 10,000 5 dialect per 10,000 my 11 author per 10,000 1 dialect per 10,000 awa 11 author per 10,000 14 dialect per 10,000 gie 11 author per 10,000 14 dialect per 10,000 richt 11 author per 10,000 18 dialect per 10,000 fox 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 1 dialect per 10,000 ken 11 author per 10,000 17 dialect per 10,000 much 10 author per 10,000 6 dialect per 10,000 wids 10 author per 10,000 0 dialect per 10,000 made 10 author per 10,000 6 dialect per 10,000 only 10 author per 10,000 7 dialect per 10,000 owre 10 author per 10,000 11 dialect per 10,000 pit 10 author per 10,000 2 dialect per 10,000 hoose 10 author per 10,000 20 dialect per 10,000 withoot 9 author per 10,000 4 dialect per 10,000 witch 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 6 dialect per 10,000 guid 9 author per 10,000 14 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 couldnae 9 author per 10,000 3 dialect per 10,000 davie 8 author per 10,000 0 dialect per 10,000 through 8 author per 10,000 2 dialect per 10,000 their 8 author per 10,000 14 dialect per 10,000 here 8 author per 10,000 13 dialect per 10,000 even 8 author per 10,000 5 dialect per 10,000 doris 8 author per 10,000 0 dialect per 10,000 still 8 author per 10,000 7 dialect per 10,000 ll 8 author per 10,000 2 dialect per 10,000 harry 8 author per 10,000 0 dialect per 10,000 last 8 author per 10,000 5 dialect per 10,000 cuid 8 author per 10,000 5 dialect per 10,000 sun 8 author per 10,000 3 dialect per 10,000 so 8 author per 10,000 3 dialect per 10,000 fund 8 author per 10,000 2 dialect per 10,000 let 8 author per 10,000 3 dialect per 10,000 wi' 8 author per 10,000 5 dialect per 10,000 really 8 author per 10,000 2 dialect per 10,000 folk 8 author per 10,000 3 dialect per 10,000 city 8 author per 10,000 0 dialect per 10,000 think 8 author per 10,000 7 dialect per 10,000 eftir 8 author per 10,000 3 dialect per 10,000 awfie 8 author per 10,000 0 dialect per 10,000 name 8 author per 10,000 4 dialect per 10,000 bad 8 author per 10,000 1 dialect per 10,000 well 8 author per 10,000 1 dialect per 10,000 a' 8 author per 10,000 9 dialect per 10,000 mind 8 author per 10,000 8 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 5 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 9 dialect per 10,000 alang 8 author per 10,000 4 dialect per 10,000 tell 8 author per 10,000 9 dialect per 10,000 being 8 author per 10,000 1 dialect per 10,000 een 7 author per 10,000 2 dialect per 10,000 says 7 author per 10,000 3 dialect per 10,000 will 7 author per 10,000 3 dialect per 10,000 tak 7 author per 10,000 9 dialect per 10,000 quite 7 author per 10,000 2 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 2 dialect per 10,000 something 7 author per 10,000 0 dialect per 10,000 could 7 author per 10,000 13 dialect per 10,000 year 7 author per 10,000 5 dialect per 10,000 dinnae 7 author per 10,000 10 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 1 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 0 dialect per 10,000 it's 6 author per 10,000 8 dialect per 10,000 great 6 author per 10,000 1 dialect per 10,000 next 6 author per 10,000 5 dialect per 10,000 three 6 author per 10,000 2 dialect per 10,000 tree 6 author per 10,000 2 dialect per 10,000 high 6 author per 10,000 6 dialect per 10,000 face 6 author per 10,000 5 dialect per 10,000 toon 6 author per 10,000 0 dialect per 10,000 ee 6 author per 10,000 53 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 3 dialect per 10,000 frank 6 author per 10,000 0 dialect per 10,000 took 6 author per 10,000 4 dialect per 10,000 pride 6 author per 10,000 1 dialect per 10,000 whilst 6 author per 10,000 1 dialect per 10,000 		Ulster
the 601 author per 10,000 345 dialect per 10,000 a 322 author per 10,000 287 dialect per 10,000 tae 267 author per 10,000 253 dialect per 10,000 wis 207 author per 10,000 1 dialect per 10,000 and 186 author per 10,000 10 dialect per 10,000 he 172 author per 10,000 62 dialect per 10,000 o 151 author per 10,000 208 dialect per 10,000 in 138 author per 10,000 121 dialect per 10,000 his 131 author per 10,000 25 dialect per 10,000 that 110 author per 10,000 71 dialect per 10,000 it 92 author per 10,000 73 dialect per 10,000 wi 77 author per 10,000 63 dialect per 10,000 i 76 author per 10,000 16 dialect per 10,000 had 76 author per 10,000 22 dialect per 10,000 76 author per 10,000 8 dialect per 10,000 for 72 author per 10,000 30 dialect per 10,000 ye 66 author per 10,000 79 dialect per 10,000 they 65 author per 10,000 26 dialect per 10,000 on 63 author per 10,000 57 dialect per 10,000 at 57 author per 10,000 58 dialect per 10,000 an 57 author per 10,000 358 dialect per 10,000 we 50 author per 10,000 18 dialect per 10,000 be 50 author per 10,000 39 dialect per 10,000 oot 49 author per 10,000 49 dialect per 10,000 her 49 author per 10,000 8 dialect per 10,000 s 49 author per 10,000 11 dialect per 10,000 as 48 author per 10,000 31 dialect per 10,000 this 47 author per 10,000 27 dialect per 10,000 him 46 author per 10,000 11 dialect per 10,000 frae 41 author per 10,000 36 dialect per 10,000 wid 41 author per 10,000 1 dialect per 10,000 by 41 author per 10,000 7 dialect per 10,000 up 41 author per 10,000 32 dialect per 10,000 were 40 author per 10,000 4 dialect per 10,000 there 40 author per 10,000 8 dialect per 10,000 she 40 author per 10,000 31 dialect per 10,000 yin 38 author per 10,000 34 dialect per 10,000 when 36 author per 10,000 2 dialect per 10,000 but 35 author per 10,000 41 dialect per 10,000 aboot 34 author per 10,000 27 dialect per 10,000 did 34 author per 10,000 5 dialect per 10,000 is 33 author per 10,000 18 dialect per 10,000 jist 32 author per 10,000 8 dialect per 10,000 hae 31 author per 10,000 55 dialect per 10,000 said 31 author per 10,000 32 dialect per 10,000 ma 31 author per 10,000 23 dialect per 10,000 aa 31 author per 10,000 41 dialect per 10,000 whit 30 author per 10,000 1 dialect per 10,000 or 29 author per 10,000 33 dialect per 10,000 me 28 author per 10,000 24 dialect per 10,000 wee 28 author per 10,000 27 dialect per 10,000 been 28 author per 10,000 2 dialect per 10,000 then 27 author per 10,000 17 dialect per 10,000 us 27 author per 10,000 4 dialect per 10,000 noo 27 author per 10,000 22 dialect per 10,000 lion 27 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 7 dialect per 10,000 like 24 author per 10,000 9 dialect per 10,000 intae 24 author per 10,000 14 dialect per 10,000 cam 23 author per 10,000 0 dialect per 10,000 doon 23 author per 10,000 28 dialect per 10,000 time 23 author per 10,000 13 dialect per 10,000 dug 22 author per 10,000 0 dialect per 10,000 them 22 author per 10,000 8 dialect per 10,000 no 22 author per 10,000 22 dialect per 10,000 oor 22 author per 10,000 15 dialect per 10,000 twa 21 author per 10,000 11 dialect per 10,000 yer 21 author per 10,000 37 dialect per 10,000 weel 21 author per 10,000 13 dialect per 10,000 nae 21 author per 10,000 22 dialect per 10,000 dorothy 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 4 dialect per 10,000 get 20 author per 10,000 9 dialect per 10,000 faither 20 author per 10,000 7 dialect per 10,000 mair 19 author per 10,000 27 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000 an' 18 author per 10,000 57 dialect per 10,000 heid 18 author per 10,000 12 dialect per 10,000 was 18 author per 10,000 22 dialect per 10,000 back 17 author per 10,000 2 dialect per 10,000 if 17 author per 10,000 14 dialect per 10,000 got 17 author per 10,000 9 dialect per 10,000 wha 17 author per 10,000 9 dialect per 10,000 see 17 author per 10,000 16 dialect per 10,000 didnae 16 author per 10,000 7 dialect per 10,000 of 16 author per 10,000 2 dialect per 10,000 aff 16 author per 10,000 14 dialect per 10,000 man 15 author per 10,000 17 dialect per 10,000 ae 15 author per 10,000 0 dialect per 10,000 ither 15 author per 10,000 14 dialect per 10,000 dunkey 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 15 dialect per 10,000 went 15 author per 10,000 12 dialect per 10,000 onie 14 author per 10,000 10 dialect per 10,000 sae 14 author per 10,000 25 dialect per 10,000 o' 14 author per 10,000 57 dialect per 10,000 oan 14 author per 10,000 18 dialect per 10,000 dave 14 author per 10,000 0 dialect per 10,000 ah 14 author per 10,000 11 dialect per 10,000 come 14 author per 10,000 10 dialect per 10,000 say 13 author per 10,000 10 dialect per 10,000 than 13 author per 10,000 3 dialect per 10,000 big 13 author per 10,000 8 dialect per 10,000 wolf 13 author per 10,000 0 dialect per 10,000 gied 12 author per 10,000 1 dialect per 10,000 which 12 author per 10,000 0 dialect per 10,000 way 12 author per 10,000 2 dialect per 10,000 gus 12 author per 10,000 0 dialect per 10,000 aye 12 author per 10,000 13 dialect per 10,000 hame 11 author per 10,000 10 dialect per 10,000 thocht 11 author per 10,000 11 dialect per 10,000 efter 11 author per 10,000 6 dialect per 10,000 bit 11 author per 10,000 10 dialect per 10,000 can 11 author per 10,000 15 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 telt 11 author per 10,000 1 dialect per 10,000 my 11 author per 10,000 2 dialect per 10,000 awa 11 author per 10,000 17 dialect per 10,000 gie 11 author per 10,000 16 dialect per 10,000 richt 11 author per 10,000 13 dialect per 10,000 fox 11 author per 10,000 1 dialect per 10,000 mither 11 author per 10,000 3 dialect per 10,000 ken 11 author per 10,000 3 dialect per 10,000 much 10 author per 10,000 3 dialect per 10,000 wids 10 author per 10,000 0 dialect per 10,000 made 10 author per 10,000 6 dialect per 10,000 only 10 author per 10,000 3 dialect per 10,000 owre 10 author per 10,000 4 dialect per 10,000 pit 10 author per 10,000 11 dialect per 10,000 hoose 10 author per 10,000 14 dialect per 10,000 withoot 9 author per 10,000 1 dialect per 10,000 witch 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 5 dialect per 10,000 guid 9 author per 10,000 17 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 couldnae 9 author per 10,000 0 dialect per 10,000 davie 8 author per 10,000 1 dialect per 10,000 through 8 author per 10,000 3 dialect per 10,000 their 8 author per 10,000 5 dialect per 10,000 here 8 author per 10,000 10 dialect per 10,000 even 8 author per 10,000 4 dialect per 10,000 doris 8 author per 10,000 0 dialect per 10,000 still 8 author per 10,000 4 dialect per 10,000 ll 8 author per 10,000 4 dialect per 10,000 harry 8 author per 10,000 2 dialect per 10,000 last 8 author per 10,000 4 dialect per 10,000 cuid 8 author per 10,000 0 dialect per 10,000 sun 8 author per 10,000 1 dialect per 10,000 so 8 author per 10,000 5 dialect per 10,000 fund 8 author per 10,000 2 dialect per 10,000 let 8 author per 10,000 5 dialect per 10,000 wi' 8 author per 10,000 14 dialect per 10,000 really 8 author per 10,000 1 dialect per 10,000 folk 8 author per 10,000 4 dialect per 10,000 city 8 author per 10,000 0 dialect per 10,000 think 8 author per 10,000 7 dialect per 10,000 eftir 8 author per 10,000 0 dialect per 10,000 awfie 8 author per 10,000 0 dialect per 10,000 name 8 author per 10,000 6 dialect per 10,000 bad 8 author per 10,000 3 dialect per 10,000 well 8 author per 10,000 2 dialect per 10,000 a' 8 author per 10,000 2 dialect per 10,000 mind 8 author per 10,000 2 dialect per 10,000 wizard 8 author per 10,000 0 dialect per 10,000 moose 8 author per 10,000 2 dialect per 10,000 sport 8 author per 10,000 0 dialect per 10,000 roond 8 author per 10,000 1 dialect per 10,000 alang 8 author per 10,000 5 dialect per 10,000 tell 8 author per 10,000 10 dialect per 10,000 being 8 author per 10,000 0 dialect per 10,000 een 7 author per 10,000 8 dialect per 10,000 says 7 author per 10,000 3 dialect per 10,000 will 7 author per 10,000 2 dialect per 10,000 tak 7 author per 10,000 13 dialect per 10,000 quite 7 author per 10,000 1 dialect per 10,000 emerald 7 author per 10,000 0 dialect per 10,000 thir 7 author per 10,000 3 dialect per 10,000 something 7 author per 10,000 0 dialect per 10,000 could 7 author per 10,000 1 dialect per 10,000 year 7 author per 10,000 2 dialect per 10,000 dinnae 7 author per 10,000 11 dialect per 10,000 bogle 7 author per 10,000 0 dialect per 10,000 wind 7 author per 10,000 0 dialect per 10,000 kenned 7 author per 10,000 0 dialect per 10,000 tin 7 author per 10,000 1 dialect per 10,000 it's 6 author per 10,000 14 dialect per 10,000 great 6 author per 10,000 1 dialect per 10,000 next 6 author per 10,000 0 dialect per 10,000 three 6 author per 10,000 3 dialect per 10,000 tree 6 author per 10,000 2 dialect per 10,000 high 6 author per 10,000 1 dialect per 10,000 face 6 author per 10,000 4 dialect per 10,000 toon 6 author per 10,000 4 dialect per 10,000 ee 6 author per 10,000 3 dialect per 10,000 aesop 6 author per 10,000 0 dialect per 10,000 braw 6 author per 10,000 0 dialect per 10,000 frank 6 author per 10,000 1 dialect per 10,000 took 6 author per 10,000 1 dialect per 10,000 pride 6 author per 10,000 1 dialect per 10,000 whilst 6 author per 10,000 0 dialect per 10,000