A Corpus of 21st Century Scots Texts

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Chalmers, Aimee


Total words by this author in corpus - 1,612
Total unique words used by this author in corpus - 595
Ratio of total words to unique words - 2.709
Top ten most common words - the, ye, yer, was, a, o, tae, i, it, but,

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 546 author per 10,000 562 dialect per 10,000 ye 509 author per 10,000 59 dialect per 10,000 yer 304 author per 10,000 17 dialect per 10,000 was 242 author per 10,000 7 dialect per 10,000 a 236 author per 10,000 263 dialect per 10,000 o 174 author per 10,000 190 dialect per 10,000 tae 155 author per 10,000 211 dialect per 10,000 i 124 author per 10,000 38 dialect per 10,000 it 112 author per 10,000 118 dialect per 10,000 but 99 author per 10,000 48 dialect per 10,000 wuid 99 author per 10,000 3 dialect per 10,000 bike 99 author per 10,000 0 dialect per 10,000 for 93 author per 10,000 47 dialect per 10,000 an 93 author per 10,000 212 dialect per 10,000 he 81 author per 10,000 92 dialect per 10,000 ae 81 author per 10,000 21 dialect per 10,000 that 81 author per 10,000 109 dialect per 10,000 ruth 74 author per 10,000 1 dialect per 10,000 billy 68 author per 10,000 0 dialect per 10,000 be 68 author per 10,000 49 dialect per 10,000 his 68 author per 10,000 56 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 148 dialect per 10,000 wye 68 author per 10,000 0 dialect per 10,000 on 62 author per 10,000 55 dialect per 10,000 had 62 author per 10,000 24 dialect per 10,000 and 62 author per 10,000 107 dialect per 10,000 aff 62 author per 10,000 14 dialect per 10,000 juist 62 author per 10,000 7 dialect per 10,000 up 62 author per 10,000 40 dialect per 10,000 €™s 56 author per 10,000 37 dialect per 10,000 at 50 author per 10,000 58 dialect per 10,000 € 50 author per 10,000 27 dialect per 10,000 nae 50 author per 10,000 22 dialect per 10,000 €™d 50 author per 10,000 7 dialect per 10,000 there 50 author per 10,000 25 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 15 dialect per 10,000 wee 43 author per 10,000 27 dialect per 10,000 awa 37 author per 10,000 11 dialect per 10,000 doon 37 author per 10,000 17 dialect per 10,000 mind 37 author per 10,000 7 dialect per 10,000 get 37 author per 10,000 15 dialect per 10,000 rinnin 37 author per 10,000 1 dialect per 10,000 went 37 author per 10,000 7 dialect per 10,000 her 37 author per 10,000 44 dialect per 10,000 wi 37 author per 10,000 66 dialect per 10,000 thocht 37 author per 10,000 8 dialect per 10,000 like 37 author per 10,000 27 dialect per 10,000 if 37 author per 10,000 18 dialect per 10,000 guid 31 author per 10,000 11 dialect per 10,000 mither 31 author per 10,000 4 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 18 dialect per 10,000 river 31 author per 10,000 1 dialect per 10,000 she 31 author per 10,000 55 dialect per 10,000 back 31 author per 10,000 20 dialect per 10,000 ane 31 author per 10,000 10 dialect per 10,000 they 31 author per 10,000 43 dialect per 10,000 cuid 31 author per 10,000 3 dialect per 10,000 gae 25 author per 10,000 1 dialect per 10,000 then 25 author per 10,000 16 dialect per 10,000 wasnae 25 author per 10,000 0 dialect per 10,000 coat 25 author per 10,000 1 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 8 dialect per 10,000 ahent 25 author per 10,000 1 dialect per 10,000 richt 25 author per 10,000 12 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 1 dialect per 10,000 kirk 25 author per 10,000 1 dialect per 10,000 got 25 author per 10,000 12 dialect per 10,000 as 25 author per 10,000 60 dialect per 10,000 hae 25 author per 10,000 22 dialect per 10,000 him 25 author per 10,000 30 dialect per 10,000 my 25 author per 10,000 6 dialect per 10,000 time 25 author per 10,000 17 dialect per 10,000 sae 25 author per 10,000 16 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 39 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 41 dialect per 10,000 braw 19 author per 10,000 4 dialect per 10,000 numbers 19 author per 10,000 0 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 6 dialect per 10,000 haunds 19 author per 10,000 1 dialect per 10,000 let 19 author per 10,000 4 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 18 dialect per 10,000 heid 19 author per 10,000 10 dialect per 10,000 bell 19 author per 10,000 1 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 5 dialect per 10,000 by 19 author per 10,000 17 dialect per 10,000 wey 19 author per 10,000 12 dialect per 10,000 weet 19 author per 10,000 0 dialect per 10,000 sand 19 author per 10,000 0 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 17 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 29 dialect per 10,000 fowk 19 author per 10,000 13 dialect per 10,000 said 19 author per 10,000 41 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 4 dialect per 10,000 keep 19 author per 10,000 5 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 til 19 author per 10,000 5 dialect per 10,000 second 19 author per 10,000 1 dialect per 10,000 never 19 author per 10,000 6 dialect per 10,000 haud 19 author per 10,000 3 dialect per 10,000 gey 19 author per 10,000 5 dialect per 10,000 yon 19 author per 10,000 3 dialect per 10,000 whan 19 author per 10,000 11 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 hurt 19 author per 10,000 0 dialect per 10,000 sunday 19 author per 10,000 1 dialect per 10,000 first 19 author per 10,000 9 dialect per 10,000 claes 19 author per 10,000 2 dialect per 10,000 ready 19 author per 10,000 1 dialect per 10,000 eneuch 19 author per 10,000 2 dialect per 10,000 me 19 author per 10,000 40 dialect per 10,000 turnt 19 author per 10,000 2 dialect per 10,000 ee 19 author per 10,000 2 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 2 dialect per 10,000 will 19 author per 10,000 11 dialect per 10,000 windae 19 author per 10,000 2 dialect per 10,000 feet 19 author per 10,000 2 dialect per 10,000 roond 19 author per 10,000 4 dialect per 10,000 meenit 19 author per 10,000 1 dialect per 10,000 thae 19 author per 10,000 5 dialect per 10,000 bonnie 19 author per 10,000 2 dialect per 10,000 fell 12 author per 10,000 2 dialect per 10,000 greet 12 author per 10,000 1 dialect per 10,000 tak 12 author per 10,000 8 dialect per 10,000 legs 12 author per 10,000 1 dialect per 10,000 likit 12 author per 10,000 0 dialect per 10,000 front 12 author per 10,000 3 dialect per 10,000 aa 12 author per 10,000 12 dialect per 10,000 aye 12 author per 10,000 15 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 2 dialect per 10,000 wirds 12 author per 10,000 2 dialect per 10,000 couldnae 12 author per 10,000 3 dialect per 10,000 frae 12 author per 10,000 15 dialect per 10,000 nor 12 author per 10,000 6 dialect per 10,000 corner 12 author per 10,000 1 dialect per 10,000 €™ll 12 author per 10,000 5 dialect per 10,000 bad 12 author per 10,000 3 dialect per 10,000 toon 12 author per 10,000 1 dialect per 10,000 put 12 author per 10,000 2 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 0 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 2 dialect per 10,000 held 12 author per 10,000 2 dialect per 10,000 show 12 author per 10,000 1 dialect per 10,000 queer 12 author per 10,000 0 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 1 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 people 12 author per 10,000 2 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 3 dialect per 10,000 thegither 12 author per 10,000 3 dialect per 10,000 three 12 author per 10,000 5 dialect per 10,000 even 12 author per 10,000 10 dialect per 10,000 return 12 author per 10,000 0 dialect per 10,000 thou 12 author per 10,000 0 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 1 dialect per 10,000 to 12 author per 10,000 9 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 god 12 author per 10,000 2 dialect per 10,000 lift 12 author per 10,000 1 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 gaun 12 author per 10,000 7 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 7 dialect per 10,000 didnae 12 author per 10,000 6 dialect per 10,000 not 12 author per 10,000 2 dialect per 10,000 quick 12 author per 10,000 1 dialect per 10,000 stick 12 author per 10,000 1 dialect per 10,000 them 12 author per 10,000 18 dialect per 10,000 stanes 12 author per 10,000 1 dialect per 10,000 face 12 author per 10,000 5 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 6 dialect per 10,000 alang 12 author per 10,000 4 dialect per 10,000 fair 12 author per 10,000 3 dialect per 10,000 rain 12 author per 10,000 1 dialect per 10,000 een 12 author per 10,000 5 dialect per 10,000 just 12 author per 10,000 4 dialect per 10,000
Doric
the 546 author per 10,000 469 dialect per 10,000 ye 509 author per 10,000 94 dialect per 10,000 yer 304 author per 10,000 35 dialect per 10,000 was 242 author per 10,000 8 dialect per 10,000 a 236 author per 10,000 300 dialect per 10,000 o 174 author per 10,000 181 dialect per 10,000 tae 155 author per 10,000 164 dialect per 10,000 i 124 author per 10,000 71 dialect per 10,000 it 112 author per 10,000 104 dialect per 10,000 but 99 author per 10,000 25 dialect per 10,000 wuid 99 author per 10,000 0 dialect per 10,000 bike 99 author per 10,000 1 dialect per 10,000 for 93 author per 10,000 45 dialect per 10,000 an 93 author per 10,000 307 dialect per 10,000 he 81 author per 10,000 97 dialect per 10,000 ae 81 author per 10,000 8 dialect per 10,000 that 81 author per 10,000 51 dialect per 10,000 ruth 74 author per 10,000 1 dialect per 10,000 billy 68 author per 10,000 1 dialect per 10,000 be 68 author per 10,000 46 dialect per 10,000 his 68 author per 10,000 72 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 135 dialect per 10,000 wye 68 author per 10,000 12 dialect per 10,000 on 62 author per 10,000 67 dialect per 10,000 had 62 author per 10,000 4 dialect per 10,000 and 62 author per 10,000 43 dialect per 10,000 aff 62 author per 10,000 13 dialect per 10,000 juist 62 author per 10,000 1 dialect per 10,000 up 62 author per 10,000 45 dialect per 10,000 €™s 56 author per 10,000 23 dialect per 10,000 at 50 author per 10,000 70 dialect per 10,000 € 50 author per 10,000 16 dialect per 10,000 nae 50 author per 10,000 50 dialect per 10,000 €™d 50 author per 10,000 11 dialect per 10,000 there 50 author per 10,000 23 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 18 dialect per 10,000 wee 43 author per 10,000 19 dialect per 10,000 awa 37 author per 10,000 22 dialect per 10,000 doon 37 author per 10,000 34 dialect per 10,000 mind 37 author per 10,000 5 dialect per 10,000 get 37 author per 10,000 15 dialect per 10,000 rinnin 37 author per 10,000 2 dialect per 10,000 went 37 author per 10,000 5 dialect per 10,000 her 37 author per 10,000 69 dialect per 10,000 wi 37 author per 10,000 82 dialect per 10,000 thocht 37 author per 10,000 13 dialect per 10,000 like 37 author per 10,000 40 dialect per 10,000 if 37 author per 10,000 17 dialect per 10,000 guid 31 author per 10,000 4 dialect per 10,000 mither 31 author per 10,000 8 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 28 dialect per 10,000 river 31 author per 10,000 0 dialect per 10,000 she 31 author per 10,000 73 dialect per 10,000 back 31 author per 10,000 22 dialect per 10,000 ane 31 author per 10,000 5 dialect per 10,000 they 31 author per 10,000 38 dialect per 10,000 cuid 31 author per 10,000 0 dialect per 10,000 gae 25 author per 10,000 0 dialect per 10,000 then 25 author per 10,000 9 dialect per 10,000 wasnae 25 author per 10,000 0 dialect per 10,000 coat 25 author per 10,000 1 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 12 dialect per 10,000 ahent 25 author per 10,000 0 dialect per 10,000 richt 25 author per 10,000 18 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 1 dialect per 10,000 kirk 25 author per 10,000 3 dialect per 10,000 got 25 author per 10,000 13 dialect per 10,000 as 25 author per 10,000 55 dialect per 10,000 hae 25 author per 10,000 20 dialect per 10,000 him 25 author per 10,000 33 dialect per 10,000 my 25 author per 10,000 11 dialect per 10,000 time 25 author per 10,000 20 dialect per 10,000 sae 25 author per 10,000 15 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 48 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 1 dialect per 10,000 braw 19 author per 10,000 2 dialect per 10,000 numbers 19 author per 10,000 0 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 4 dialect per 10,000 haunds 19 author per 10,000 0 dialect per 10,000 let 19 author per 10,000 5 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 9 dialect per 10,000 heid 19 author per 10,000 12 dialect per 10,000 bell 19 author per 10,000 1 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 9 dialect per 10,000 wey 19 author per 10,000 2 dialect per 10,000 weet 19 author per 10,000 3 dialect per 10,000 sand 19 author per 10,000 0 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 22 dialect per 10,000 ken 19 author per 10,000 23 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 2 dialect per 10,000 fowk 19 author per 10,000 13 dialect per 10,000 said 19 author per 10,000 39 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 5 dialect per 10,000 keep 19 author per 10,000 4 dialect per 10,000 far 19 author per 10,000 14 dialect per 10,000 til 19 author per 10,000 3 dialect per 10,000 second 19 author per 10,000 1 dialect per 10,000 never 19 author per 10,000 2 dialect per 10,000 haud 19 author per 10,000 3 dialect per 10,000 gey 19 author per 10,000 3 dialect per 10,000 yon 19 author per 10,000 8 dialect per 10,000 whan 19 author per 10,000 1 dialect per 10,000 twa 19 author per 10,000 18 dialect per 10,000 hurt 19 author per 10,000 0 dialect per 10,000 sunday 19 author per 10,000 3 dialect per 10,000 first 19 author per 10,000 7 dialect per 10,000 claes 19 author per 10,000 2 dialect per 10,000 ready 19 author per 10,000 1 dialect per 10,000 eneuch 19 author per 10,000 3 dialect per 10,000 me 19 author per 10,000 31 dialect per 10,000 turnt 19 author per 10,000 2 dialect per 10,000 ee 19 author per 10,000 10 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 2 dialect per 10,000 will 19 author per 10,000 10 dialect per 10,000 windae 19 author per 10,000 2 dialect per 10,000 feet 19 author per 10,000 4 dialect per 10,000 roond 19 author per 10,000 1 dialect per 10,000 meenit 19 author per 10,000 2 dialect per 10,000 thae 19 author per 10,000 0 dialect per 10,000 bonnie 19 author per 10,000 4 dialect per 10,000 fell 12 author per 10,000 3 dialect per 10,000 greet 12 author per 10,000 2 dialect per 10,000 tak 12 author per 10,000 9 dialect per 10,000 legs 12 author per 10,000 1 dialect per 10,000 likit 12 author per 10,000 2 dialect per 10,000 front 12 author per 10,000 2 dialect per 10,000 aa 12 author per 10,000 43 dialect per 10,000 aye 12 author per 10,000 20 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 1 dialect per 10,000 wirds 12 author per 10,000 2 dialect per 10,000 couldnae 12 author per 10,000 0 dialect per 10,000 frae 12 author per 10,000 11 dialect per 10,000 nor 12 author per 10,000 6 dialect per 10,000 corner 12 author per 10,000 1 dialect per 10,000 €™ll 12 author per 10,000 4 dialect per 10,000 bad 12 author per 10,000 2 dialect per 10,000 toon 12 author per 10,000 4 dialect per 10,000 put 12 author per 10,000 1 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 1 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 1 dialect per 10,000 held 12 author per 10,000 3 dialect per 10,000 show 12 author per 10,000 2 dialect per 10,000 queer 12 author per 10,000 1 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 2 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 people 12 author per 10,000 1 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 3 dialect per 10,000 thegither 12 author per 10,000 2 dialect per 10,000 three 12 author per 10,000 6 dialect per 10,000 even 12 author per 10,000 6 dialect per 10,000 return 12 author per 10,000 0 dialect per 10,000 thou 12 author per 10,000 1 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 0 dialect per 10,000 to 12 author per 10,000 8 dialect per 10,000 big 12 author per 10,000 5 dialect per 10,000 god 12 author per 10,000 4 dialect per 10,000 lift 12 author per 10,000 2 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 gaun 12 author per 10,000 6 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 8 dialect per 10,000 didnae 12 author per 10,000 1 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 quick 12 author per 10,000 1 dialect per 10,000 stick 12 author per 10,000 1 dialect per 10,000 them 12 author per 10,000 25 dialect per 10,000 stanes 12 author per 10,000 0 dialect per 10,000 face 12 author per 10,000 7 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 12 dialect per 10,000 alang 12 author per 10,000 2 dialect per 10,000 fair 12 author per 10,000 8 dialect per 10,000 rain 12 author per 10,000 7 dialect per 10,000 een 12 author per 10,000 19 dialect per 10,000 just 12 author per 10,000 1 dialect per 10,000
Shetland
the 546 author per 10,000 18 dialect per 10,000 ye 509 author per 10,000 0 dialect per 10,000 yer 304 author per 10,000 0 dialect per 10,000 was 242 author per 10,000 3 dialect per 10,000 a 236 author per 10,000 280 dialect per 10,000 o 174 author per 10,000 177 dialect per 10,000 tae 155 author per 10,000 86 dialect per 10,000 i 124 author per 10,000 143 dialect per 10,000 it 112 author per 10,000 58 dialect per 10,000 but 99 author per 10,000 28 dialect per 10,000 wuid 99 author per 10,000 0 dialect per 10,000 bike 99 author per 10,000 0 dialect per 10,000 for 93 author per 10,000 35 dialect per 10,000 an 93 author per 10,000 330 dialect per 10,000 he 81 author per 10,000 103 dialect per 10,000 ae 81 author per 10,000 1 dialect per 10,000 that 81 author per 10,000 4 dialect per 10,000 ruth 74 author per 10,000 1 dialect per 10,000 billy 68 author per 10,000 0 dialect per 10,000 be 68 author per 10,000 55 dialect per 10,000 his 68 author per 10,000 52 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 105 dialect per 10,000 wye 68 author per 10,000 24 dialect per 10,000 on 62 author per 10,000 52 dialect per 10,000 had 62 author per 10,000 2 dialect per 10,000 and 62 author per 10,000 15 dialect per 10,000 aff 62 author per 10,000 18 dialect per 10,000 juist 62 author per 10,000 8 dialect per 10,000 up 62 author per 10,000 42 dialect per 10,000 €™s 56 author per 10,000 16 dialect per 10,000 at 50 author per 10,000 112 dialect per 10,000 € 50 author per 10,000 17 dialect per 10,000 nae 50 author per 10,000 23 dialect per 10,000 €™d 50 author per 10,000 2 dialect per 10,000 there 50 author per 10,000 1 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 51 dialect per 10,000 wee 43 author per 10,000 0 dialect per 10,000 awa 37 author per 10,000 13 dialect per 10,000 doon 37 author per 10,000 23 dialect per 10,000 mind 37 author per 10,000 10 dialect per 10,000 get 37 author per 10,000 6 dialect per 10,000 rinnin 37 author per 10,000 0 dialect per 10,000 went 37 author per 10,000 0 dialect per 10,000 her 37 author per 10,000 64 dialect per 10,000 wi 37 author per 10,000 95 dialect per 10,000 thocht 37 author per 10,000 0 dialect per 10,000 like 37 author per 10,000 2 dialect per 10,000 if 37 author per 10,000 25 dialect per 10,000 guid 31 author per 10,000 12 dialect per 10,000 mither 31 author per 10,000 0 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 24 dialect per 10,000 river 31 author per 10,000 0 dialect per 10,000 she 31 author per 10,000 7 dialect per 10,000 back 31 author per 10,000 18 dialect per 10,000 ane 31 author per 10,000 4 dialect per 10,000 they 31 author per 10,000 2 dialect per 10,000 cuid 31 author per 10,000 0 dialect per 10,000 gae 25 author per 10,000 3 dialect per 10,000 then 25 author per 10,000 1 dialect per 10,000 wasnae 25 author per 10,000 0 dialect per 10,000 coat 25 author per 10,000 0 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 23 dialect per 10,000 ahent 25 author per 10,000 0 dialect per 10,000 richt 25 author per 10,000 13 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 1 dialect per 10,000 kirk 25 author per 10,000 1 dialect per 10,000 got 25 author per 10,000 8 dialect per 10,000 as 25 author per 10,000 79 dialect per 10,000 hae 25 author per 10,000 25 dialect per 10,000 him 25 author per 10,000 47 dialect per 10,000 my 25 author per 10,000 23 dialect per 10,000 time 25 author per 10,000 21 dialect per 10,000 sae 25 author per 10,000 8 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 42 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 0 dialect per 10,000 braw 19 author per 10,000 0 dialect per 10,000 numbers 19 author per 10,000 1 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 2 dialect per 10,000 haunds 19 author per 10,000 0 dialect per 10,000 let 19 author per 10,000 1 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 0 dialect per 10,000 heid 19 author per 10,000 2 dialect per 10,000 bell 19 author per 10,000 0 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 wey 19 author per 10,000 0 dialect per 10,000 weet 19 author per 10,000 2 dialect per 10,000 sand 19 author per 10,000 0 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 20 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 39 dialect per 10,000 fowk 19 author per 10,000 0 dialect per 10,000 said 19 author per 10,000 61 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 0 dialect per 10,000 keep 19 author per 10,000 5 dialect per 10,000 far 19 author per 10,000 6 dialect per 10,000 til 19 author per 10,000 2 dialect per 10,000 second 19 author per 10,000 1 dialect per 10,000 never 19 author per 10,000 7 dialect per 10,000 haud 19 author per 10,000 0 dialect per 10,000 gey 19 author per 10,000 0 dialect per 10,000 yon 19 author per 10,000 6 dialect per 10,000 whan 19 author per 10,000 7 dialect per 10,000 twa 19 author per 10,000 13 dialect per 10,000 hurt 19 author per 10,000 0 dialect per 10,000 sunday 19 author per 10,000 1 dialect per 10,000 first 19 author per 10,000 10 dialect per 10,000 claes 19 author per 10,000 1 dialect per 10,000 ready 19 author per 10,000 2 dialect per 10,000 eneuch 19 author per 10,000 0 dialect per 10,000 me 19 author per 10,000 41 dialect per 10,000 turnt 19 author per 10,000 0 dialect per 10,000 ee 19 author per 10,000 11 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 0 dialect per 10,000 will 19 author per 10,000 9 dialect per 10,000 windae 19 author per 10,000 0 dialect per 10,000 feet 19 author per 10,000 3 dialect per 10,000 roond 19 author per 10,000 3 dialect per 10,000 meenit 19 author per 10,000 3 dialect per 10,000 thae 19 author per 10,000 0 dialect per 10,000 bonnie 19 author per 10,000 0 dialect per 10,000 fell 12 author per 10,000 3 dialect per 10,000 greet 12 author per 10,000 1 dialect per 10,000 tak 12 author per 10,000 12 dialect per 10,000 legs 12 author per 10,000 1 dialect per 10,000 likit 12 author per 10,000 0 dialect per 10,000 front 12 author per 10,000 1 dialect per 10,000 aa 12 author per 10,000 51 dialect per 10,000 aye 12 author per 10,000 11 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 0 dialect per 10,000 wirds 12 author per 10,000 11 dialect per 10,000 couldnae 12 author per 10,000 0 dialect per 10,000 frae 12 author per 10,000 0 dialect per 10,000 nor 12 author per 10,000 3 dialect per 10,000 corner 12 author per 10,000 0 dialect per 10,000 €™ll 12 author per 10,000 5 dialect per 10,000 bad 12 author per 10,000 1 dialect per 10,000 toon 12 author per 10,000 3 dialect per 10,000 put 12 author per 10,000 1 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 1 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 0 dialect per 10,000 held 12 author per 10,000 2 dialect per 10,000 show 12 author per 10,000 1 dialect per 10,000 queer 12 author per 10,000 0 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 1 dialect per 10,000 days 12 author per 10,000 3 dialect per 10,000 people 12 author per 10,000 0 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 2 dialect per 10,000 thegither 12 author per 10,000 0 dialect per 10,000 three 12 author per 10,000 0 dialect per 10,000 even 12 author per 10,000 10 dialect per 10,000 return 12 author per 10,000 0 dialect per 10,000 thou 12 author per 10,000 0 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 1 dialect per 10,000 to 12 author per 10,000 8 dialect per 10,000 big 12 author per 10,000 3 dialect per 10,000 god 12 author per 10,000 1 dialect per 10,000 lift 12 author per 10,000 3 dialect per 10,000 young 12 author per 10,000 6 dialect per 10,000 gaun 12 author per 10,000 0 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 1 dialect per 10,000 didnae 12 author per 10,000 0 dialect per 10,000 not 12 author per 10,000 2 dialect per 10,000 quick 12 author per 10,000 1 dialect per 10,000 stick 12 author per 10,000 0 dialect per 10,000 them 12 author per 10,000 1 dialect per 10,000 stanes 12 author per 10,000 1 dialect per 10,000 face 12 author per 10,000 6 dialect per 10,000 same 12 author per 10,000 0 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 1 dialect per 10,000 alang 12 author per 10,000 6 dialect per 10,000 fair 12 author per 10,000 1 dialect per 10,000 rain 12 author per 10,000 1 dialect per 10,000 een 12 author per 10,000 20 dialect per 10,000 just 12 author per 10,000 10 dialect per 10,000
Orkney
the 546 author per 10,000 581 dialect per 10,000 ye 509 author per 10,000 17 dialect per 10,000 yer 304 author per 10,000 7 dialect per 10,000 was 242 author per 10,000 2 dialect per 10,000 a 236 author per 10,000 296 dialect per 10,000 o 174 author per 10,000 199 dialect per 10,000 tae 155 author per 10,000 222 dialect per 10,000 i 124 author per 10,000 156 dialect per 10,000 it 112 author per 10,000 23 dialect per 10,000 but 99 author per 10,000 28 dialect per 10,000 wuid 99 author per 10,000 0 dialect per 10,000 bike 99 author per 10,000 1 dialect per 10,000 for 93 author per 10,000 24 dialect per 10,000 an 93 author per 10,000 179 dialect per 10,000 he 81 author per 10,000 88 dialect per 10,000 ae 81 author per 10,000 1 dialect per 10,000 that 81 author per 10,000 75 dialect per 10,000 ruth 74 author per 10,000 0 dialect per 10,000 billy 68 author per 10,000 1 dialect per 10,000 be 68 author per 10,000 42 dialect per 10,000 his 68 author per 10,000 63 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 147 dialect per 10,000 wye 68 author per 10,000 0 dialect per 10,000 on 62 author per 10,000 73 dialect per 10,000 had 62 author per 10,000 2 dialect per 10,000 and 62 author per 10,000 191 dialect per 10,000 aff 62 author per 10,000 8 dialect per 10,000 juist 62 author per 10,000 0 dialect per 10,000 up 62 author per 10,000 33 dialect per 10,000 €™s 56 author per 10,000 18 dialect per 10,000 at 50 author per 10,000 53 dialect per 10,000 € 50 author per 10,000 5 dialect per 10,000 nae 50 author per 10,000 3 dialect per 10,000 €™d 50 author per 10,000 2 dialect per 10,000 there 50 author per 10,000 18 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 33 dialect per 10,000 wee 43 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 1 dialect per 10,000 doon 37 author per 10,000 28 dialect per 10,000 mind 37 author per 10,000 10 dialect per 10,000 get 37 author per 10,000 10 dialect per 10,000 rinnin 37 author per 10,000 0 dialect per 10,000 went 37 author per 10,000 1 dialect per 10,000 her 37 author per 10,000 48 dialect per 10,000 wi 37 author per 10,000 48 dialect per 10,000 thocht 37 author per 10,000 0 dialect per 10,000 like 37 author per 10,000 31 dialect per 10,000 if 37 author per 10,000 15 dialect per 10,000 guid 31 author per 10,000 2 dialect per 10,000 mither 31 author per 10,000 4 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 18 dialect per 10,000 river 31 author per 10,000 0 dialect per 10,000 she 31 author per 10,000 8 dialect per 10,000 back 31 author per 10,000 27 dialect per 10,000 ane 31 author per 10,000 1 dialect per 10,000 they 31 author per 10,000 35 dialect per 10,000 cuid 31 author per 10,000 0 dialect per 10,000 gae 25 author per 10,000 2 dialect per 10,000 then 25 author per 10,000 18 dialect per 10,000 wasnae 25 author per 10,000 0 dialect per 10,000 coat 25 author per 10,000 1 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 8 dialect per 10,000 ahent 25 author per 10,000 0 dialect per 10,000 richt 25 author per 10,000 0 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 1 dialect per 10,000 kirk 25 author per 10,000 2 dialect per 10,000 got 25 author per 10,000 12 dialect per 10,000 as 25 author per 10,000 48 dialect per 10,000 hae 25 author per 10,000 12 dialect per 10,000 him 25 author per 10,000 21 dialect per 10,000 my 25 author per 10,000 4 dialect per 10,000 time 25 author per 10,000 18 dialect per 10,000 sae 25 author per 10,000 1 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 51 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 0 dialect per 10,000 braw 19 author per 10,000 0 dialect per 10,000 numbers 19 author per 10,000 0 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 10 dialect per 10,000 haunds 19 author per 10,000 0 dialect per 10,000 let 19 author per 10,000 3 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 10 dialect per 10,000 heid 19 author per 10,000 6 dialect per 10,000 bell 19 author per 10,000 1 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 16 dialect per 10,000 wey 19 author per 10,000 10 dialect per 10,000 weet 19 author per 10,000 2 dialect per 10,000 sand 19 author per 10,000 2 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 16 dialect per 10,000 ken 19 author per 10,000 15 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 29 dialect per 10,000 fowk 19 author per 10,000 0 dialect per 10,000 said 19 author per 10,000 15 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 2 dialect per 10,000 keep 19 author per 10,000 6 dialect per 10,000 far 19 author per 10,000 4 dialect per 10,000 til 19 author per 10,000 1 dialect per 10,000 second 19 author per 10,000 2 dialect per 10,000 never 19 author per 10,000 3 dialect per 10,000 haud 19 author per 10,000 0 dialect per 10,000 gey 19 author per 10,000 3 dialect per 10,000 yon 19 author per 10,000 0 dialect per 10,000 whan 19 author per 10,000 8 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 hurt 19 author per 10,000 1 dialect per 10,000 sunday 19 author per 10,000 2 dialect per 10,000 first 19 author per 10,000 7 dialect per 10,000 claes 19 author per 10,000 4 dialect per 10,000 ready 19 author per 10,000 2 dialect per 10,000 eneuch 19 author per 10,000 0 dialect per 10,000 me 19 author per 10,000 111 dialect per 10,000 turnt 19 author per 10,000 0 dialect per 10,000 ee 19 author per 10,000 1 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 3 dialect per 10,000 will 19 author per 10,000 9 dialect per 10,000 windae 19 author per 10,000 0 dialect per 10,000 feet 19 author per 10,000 5 dialect per 10,000 roond 19 author per 10,000 11 dialect per 10,000 meenit 19 author per 10,000 3 dialect per 10,000 thae 19 author per 10,000 0 dialect per 10,000 bonnie 19 author per 10,000 2 dialect per 10,000 fell 12 author per 10,000 1 dialect per 10,000 greet 12 author per 10,000 1 dialect per 10,000 tak 12 author per 10,000 13 dialect per 10,000 legs 12 author per 10,000 2 dialect per 10,000 likit 12 author per 10,000 0 dialect per 10,000 front 12 author per 10,000 1 dialect per 10,000 aa 12 author per 10,000 8 dialect per 10,000 aye 12 author per 10,000 9 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 0 dialect per 10,000 wirds 12 author per 10,000 6 dialect per 10,000 couldnae 12 author per 10,000 0 dialect per 10,000 frae 12 author per 10,000 0 dialect per 10,000 nor 12 author per 10,000 1 dialect per 10,000 corner 12 author per 10,000 2 dialect per 10,000 €™ll 12 author per 10,000 2 dialect per 10,000 bad 12 author per 10,000 3 dialect per 10,000 toon 12 author per 10,000 4 dialect per 10,000 put 12 author per 10,000 0 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 0 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 0 dialect per 10,000 held 12 author per 10,000 1 dialect per 10,000 show 12 author per 10,000 1 dialect per 10,000 queer 12 author per 10,000 1 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 3 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 people 12 author per 10,000 0 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 0 dialect per 10,000 thegither 12 author per 10,000 0 dialect per 10,000 three 12 author per 10,000 4 dialect per 10,000 even 12 author per 10,000 6 dialect per 10,000 return 12 author per 10,000 1 dialect per 10,000 thou 12 author per 10,000 0 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 10 dialect per 10,000 to 12 author per 10,000 9 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 god 12 author per 10,000 2 dialect per 10,000 lift 12 author per 10,000 1 dialect per 10,000 young 12 author per 10,000 4 dialect per 10,000 gaun 12 author per 10,000 0 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 3 dialect per 10,000 didnae 12 author per 10,000 0 dialect per 10,000 not 12 author per 10,000 2 dialect per 10,000 quick 12 author per 10,000 0 dialect per 10,000 stick 12 author per 10,000 2 dialect per 10,000 them 12 author per 10,000 17 dialect per 10,000 stanes 12 author per 10,000 0 dialect per 10,000 face 12 author per 10,000 7 dialect per 10,000 same 12 author per 10,000 3 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 0 dialect per 10,000 alang 12 author per 10,000 1 dialect per 10,000 fair 12 author per 10,000 3 dialect per 10,000 rain 12 author per 10,000 3 dialect per 10,000 een 12 author per 10,000 4 dialect per 10,000 just 12 author per 10,000 2 dialect per 10,000
Southern
the 546 author per 10,000 438 dialect per 10,000 ye 509 author per 10,000 19 dialect per 10,000 yer 304 author per 10,000 10 dialect per 10,000 was 242 author per 10,000 59 dialect per 10,000 a 236 author per 10,000 223 dialect per 10,000 o 174 author per 10,000 214 dialect per 10,000 tae 155 author per 10,000 203 dialect per 10,000 i 124 author per 10,000 78 dialect per 10,000 it 112 author per 10,000 58 dialect per 10,000 but 99 author per 10,000 38 dialect per 10,000 wuid 99 author per 10,000 4 dialect per 10,000 bike 99 author per 10,000 1 dialect per 10,000 for 93 author per 10,000 22 dialect per 10,000 an 93 author per 10,000 310 dialect per 10,000 he 81 author per 10,000 11 dialect per 10,000 ae 81 author per 10,000 73 dialect per 10,000 that 81 author per 10,000 64 dialect per 10,000 ruth 74 author per 10,000 0 dialect per 10,000 billy 68 author per 10,000 1 dialect per 10,000 be 68 author per 10,000 12 dialect per 10,000 his 68 author per 10,000 37 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 106 dialect per 10,000 wye 68 author per 10,000 0 dialect per 10,000 on 62 author per 10,000 56 dialect per 10,000 had 62 author per 10,000 0 dialect per 10,000 and 62 author per 10,000 15 dialect per 10,000 aff 62 author per 10,000 4 dialect per 10,000 juist 62 author per 10,000 14 dialect per 10,000 up 62 author per 10,000 41 dialect per 10,000 €™s 56 author per 10,000 37 dialect per 10,000 at 50 author per 10,000 74 dialect per 10,000 € 50 author per 10,000 15 dialect per 10,000 nae 50 author per 10,000 25 dialect per 10,000 €™d 50 author per 10,000 7 dialect per 10,000 there 50 author per 10,000 16 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 2 dialect per 10,000 wee 43 author per 10,000 23 dialect per 10,000 awa 37 author per 10,000 15 dialect per 10,000 doon 37 author per 10,000 25 dialect per 10,000 mind 37 author per 10,000 8 dialect per 10,000 get 37 author per 10,000 10 dialect per 10,000 rinnin 37 author per 10,000 1 dialect per 10,000 went 37 author per 10,000 13 dialect per 10,000 her 37 author per 10,000 16 dialect per 10,000 wi 37 author per 10,000 71 dialect per 10,000 thocht 37 author per 10,000 14 dialect per 10,000 like 37 author per 10,000 7 dialect per 10,000 if 37 author per 10,000 16 dialect per 10,000 guid 31 author per 10,000 13 dialect per 10,000 mither 31 author per 10,000 1 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 14 dialect per 10,000 river 31 author per 10,000 2 dialect per 10,000 she 31 author per 10,000 97 dialect per 10,000 back 31 author per 10,000 20 dialect per 10,000 ane 31 author per 10,000 9 dialect per 10,000 they 31 author per 10,000 30 dialect per 10,000 cuid 31 author per 10,000 5 dialect per 10,000 gae 25 author per 10,000 3 dialect per 10,000 then 25 author per 10,000 16 dialect per 10,000 wasnae 25 author per 10,000 1 dialect per 10,000 coat 25 author per 10,000 0 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 3 dialect per 10,000 ahent 25 author per 10,000 0 dialect per 10,000 richt 25 author per 10,000 20 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 0 dialect per 10,000 kirk 25 author per 10,000 4 dialect per 10,000 got 25 author per 10,000 11 dialect per 10,000 as 25 author per 10,000 50 dialect per 10,000 hae 25 author per 10,000 38 dialect per 10,000 him 25 author per 10,000 11 dialect per 10,000 my 25 author per 10,000 1 dialect per 10,000 time 25 author per 10,000 13 dialect per 10,000 sae 25 author per 10,000 26 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 35 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 34 dialect per 10,000 braw 19 author per 10,000 3 dialect per 10,000 numbers 19 author per 10,000 0 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 1 dialect per 10,000 haunds 19 author per 10,000 1 dialect per 10,000 let 19 author per 10,000 3 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 36 dialect per 10,000 heid 19 author per 10,000 17 dialect per 10,000 bell 19 author per 10,000 0 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 3 dialect per 10,000 wey 19 author per 10,000 4 dialect per 10,000 weet 19 author per 10,000 0 dialect per 10,000 sand 19 author per 10,000 1 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 5 dialect per 10,000 ken 19 author per 10,000 18 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 32 dialect per 10,000 fowk 19 author per 10,000 4 dialect per 10,000 said 19 author per 10,000 70 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 8 dialect per 10,000 keep 19 author per 10,000 3 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 til 19 author per 10,000 30 dialect per 10,000 second 19 author per 10,000 0 dialect per 10,000 never 19 author per 10,000 4 dialect per 10,000 haud 19 author per 10,000 4 dialect per 10,000 gey 19 author per 10,000 8 dialect per 10,000 yon 19 author per 10,000 11 dialect per 10,000 whan 19 author per 10,000 32 dialect per 10,000 twa 19 author per 10,000 3 dialect per 10,000 hurt 19 author per 10,000 0 dialect per 10,000 sunday 19 author per 10,000 1 dialect per 10,000 first 19 author per 10,000 1 dialect per 10,000 claes 19 author per 10,000 1 dialect per 10,000 ready 19 author per 10,000 1 dialect per 10,000 eneuch 19 author per 10,000 1 dialect per 10,000 me 19 author per 10,000 14 dialect per 10,000 turnt 19 author per 10,000 2 dialect per 10,000 ee 19 author per 10,000 57 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 2 dialect per 10,000 will 19 author per 10,000 1 dialect per 10,000 windae 19 author per 10,000 1 dialect per 10,000 feet 19 author per 10,000 3 dialect per 10,000 roond 19 author per 10,000 9 dialect per 10,000 meenit 19 author per 10,000 7 dialect per 10,000 thae 19 author per 10,000 2 dialect per 10,000 bonnie 19 author per 10,000 2 dialect per 10,000 fell 12 author per 10,000 2 dialect per 10,000 greet 12 author per 10,000 1 dialect per 10,000 tak 12 author per 10,000 9 dialect per 10,000 legs 12 author per 10,000 1 dialect per 10,000 likit 12 author per 10,000 0 dialect per 10,000 front 12 author per 10,000 1 dialect per 10,000 aa 12 author per 10,000 11 dialect per 10,000 aye 12 author per 10,000 10 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 1 dialect per 10,000 wirds 12 author per 10,000 0 dialect per 10,000 couldnae 12 author per 10,000 3 dialect per 10,000 frae 12 author per 10,000 41 dialect per 10,000 nor 12 author per 10,000 5 dialect per 10,000 corner 12 author per 10,000 2 dialect per 10,000 €™ll 12 author per 10,000 2 dialect per 10,000 bad 12 author per 10,000 1 dialect per 10,000 toon 12 author per 10,000 0 dialect per 10,000 put 12 author per 10,000 6 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 0 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 14 dialect per 10,000 held 12 author per 10,000 1 dialect per 10,000 show 12 author per 10,000 1 dialect per 10,000 queer 12 author per 10,000 0 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 1 dialect per 10,000 days 12 author per 10,000 7 dialect per 10,000 people 12 author per 10,000 0 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 2 dialect per 10,000 thegither 12 author per 10,000 3 dialect per 10,000 three 12 author per 10,000 1 dialect per 10,000 even 12 author per 10,000 5 dialect per 10,000 return 12 author per 10,000 0 dialect per 10,000 thou 12 author per 10,000 0 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 0 dialect per 10,000 to 12 author per 10,000 1 dialect per 10,000 big 12 author per 10,000 5 dialect per 10,000 god 12 author per 10,000 0 dialect per 10,000 lift 12 author per 10,000 3 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 gaun 12 author per 10,000 15 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 didnae 12 author per 10,000 5 dialect per 10,000 not 12 author per 10,000 0 dialect per 10,000 quick 12 author per 10,000 2 dialect per 10,000 stick 12 author per 10,000 1 dialect per 10,000 them 12 author per 10,000 4 dialect per 10,000 stanes 12 author per 10,000 3 dialect per 10,000 face 12 author per 10,000 5 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 5 dialect per 10,000 alang 12 author per 10,000 4 dialect per 10,000 fair 12 author per 10,000 14 dialect per 10,000 rain 12 author per 10,000 2 dialect per 10,000 een 12 author per 10,000 2 dialect per 10,000 just 12 author per 10,000 1 dialect per 10,000
Ulster
the 546 author per 10,000 296 dialect per 10,000 ye 509 author per 10,000 79 dialect per 10,000 yer 304 author per 10,000 38 dialect per 10,000 was 242 author per 10,000 11 dialect per 10,000 a 236 author per 10,000 284 dialect per 10,000 o 174 author per 10,000 210 dialect per 10,000 tae 155 author per 10,000 259 dialect per 10,000 i 124 author per 10,000 10 dialect per 10,000 it 112 author per 10,000 71 dialect per 10,000 but 99 author per 10,000 42 dialect per 10,000 wuid 99 author per 10,000 1 dialect per 10,000 bike 99 author per 10,000 1 dialect per 10,000 for 93 author per 10,000 33 dialect per 10,000 an 93 author per 10,000 364 dialect per 10,000 he 81 author per 10,000 63 dialect per 10,000 ae 81 author per 10,000 0 dialect per 10,000 that 81 author per 10,000 72 dialect per 10,000 ruth 74 author per 10,000 0 dialect per 10,000 billy 68 author per 10,000 1 dialect per 10,000 be 68 author per 10,000 40 dialect per 10,000 his 68 author per 10,000 19 dialect per 10,000 judges 68 author per 10,000 0 dialect per 10,000 in 68 author per 10,000 120 dialect per 10,000 wye 68 author per 10,000 14 dialect per 10,000 on 62 author per 10,000 54 dialect per 10,000 had 62 author per 10,000 15 dialect per 10,000 and 62 author per 10,000 10 dialect per 10,000 aff 62 author per 10,000 15 dialect per 10,000 juist 62 author per 10,000 1 dialect per 10,000 up 62 author per 10,000 31 dialect per 10,000 €™s 56 author per 10,000 11 dialect per 10,000 at 50 author per 10,000 58 dialect per 10,000 € 50 author per 10,000 4 dialect per 10,000 nae 50 author per 10,000 23 dialect per 10,000 €™d 50 author per 10,000 2 dialect per 10,000 there 50 author per 10,000 6 dialect per 10,000 bunter 43 author per 10,000 0 dialect per 10,000 you 43 author per 10,000 4 dialect per 10,000 wee 43 author per 10,000 26 dialect per 10,000 awa 37 author per 10,000 16 dialect per 10,000 doon 37 author per 10,000 28 dialect per 10,000 mind 37 author per 10,000 3 dialect per 10,000 get 37 author per 10,000 8 dialect per 10,000 rinnin 37 author per 10,000 2 dialect per 10,000 went 37 author per 10,000 12 dialect per 10,000 her 37 author per 10,000 7 dialect per 10,000 wi 37 author per 10,000 61 dialect per 10,000 thocht 37 author per 10,000 11 dialect per 10,000 like 37 author per 10,000 9 dialect per 10,000 if 37 author per 10,000 13 dialect per 10,000 guid 31 author per 10,000 18 dialect per 10,000 mither 31 author per 10,000 4 dialect per 10,000 yersell 31 author per 10,000 0 dialect per 10,000 ower 31 author per 10,000 16 dialect per 10,000 river 31 author per 10,000 1 dialect per 10,000 she 31 author per 10,000 13 dialect per 10,000 back 31 author per 10,000 3 dialect per 10,000 ane 31 author per 10,000 0 dialect per 10,000 they 31 author per 10,000 26 dialect per 10,000 cuid 31 author per 10,000 0 dialect per 10,000 gae 25 author per 10,000 6 dialect per 10,000 then 25 author per 10,000 17 dialect per 10,000 wasnae 25 author per 10,000 1 dialect per 10,000 coat 25 author per 10,000 0 dialect per 10,000 terrace 25 author per 10,000 0 dialect per 10,000 cam 25 author per 10,000 0 dialect per 10,000 ahent 25 author per 10,000 0 dialect per 10,000 richt 25 author per 10,000 14 dialect per 10,000 closie 25 author per 10,000 0 dialect per 10,000 knees 25 author per 10,000 1 dialect per 10,000 kirk 25 author per 10,000 1 dialect per 10,000 got 25 author per 10,000 9 dialect per 10,000 as 25 author per 10,000 29 dialect per 10,000 hae 25 author per 10,000 55 dialect per 10,000 him 25 author per 10,000 9 dialect per 10,000 my 25 author per 10,000 2 dialect per 10,000 time 25 author per 10,000 13 dialect per 10,000 sae 25 author per 10,000 26 dialect per 10,000 wuidnae 25 author per 10,000 0 dialect per 10,000 oot 25 author per 10,000 51 dialect per 10,000 leviticus 19 author per 10,000 0 dialect per 10,000 aw 19 author per 10,000 1 dialect per 10,000 braw 19 author per 10,000 0 dialect per 10,000 numbers 19 author per 10,000 0 dialect per 10,000 cellar 19 author per 10,000 0 dialect per 10,000 go 19 author per 10,000 4 dialect per 10,000 haunds 19 author per 10,000 0 dialect per 10,000 let 19 author per 10,000 6 dialect per 10,000 joshua 19 author per 10,000 0 dialect per 10,000 oan 19 author per 10,000 21 dialect per 10,000 heid 19 author per 10,000 12 dialect per 10,000 bell 19 author per 10,000 0 dialect per 10,000 bikes 19 author per 10,000 0 dialect per 10,000 sais 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 8 dialect per 10,000 wey 19 author per 10,000 0 dialect per 10,000 weet 19 author per 10,000 0 dialect per 10,000 sand 19 author per 10,000 0 dialect per 10,000 cundie 19 author per 10,000 0 dialect per 10,000 becomin 19 author per 10,000 0 dialect per 10,000 see 19 author per 10,000 16 dialect per 10,000 ken 19 author per 10,000 4 dialect per 10,000 genesis 19 author per 10,000 0 dialect per 10,000 whit 19 author per 10,000 2 dialect per 10,000 fowk 19 author per 10,000 23 dialect per 10,000 said 19 author per 10,000 29 dialect per 10,000 exodus 19 author per 10,000 0 dialect per 10,000 faither 19 author per 10,000 8 dialect per 10,000 keep 19 author per 10,000 3 dialect per 10,000 far 19 author per 10,000 5 dialect per 10,000 til 19 author per 10,000 17 dialect per 10,000 second 19 author per 10,000 0 dialect per 10,000 never 19 author per 10,000 1 dialect per 10,000 haud 19 author per 10,000 1 dialect per 10,000 gey 19 author per 10,000 0 dialect per 10,000 yon 19 author per 10,000 0 dialect per 10,000 whan 19 author per 10,000 16 dialect per 10,000 twa 19 author per 10,000 12 dialect per 10,000 hurt 19 author per 10,000 0 dialect per 10,000 sunday 19 author per 10,000 0 dialect per 10,000 first 19 author per 10,000 1 dialect per 10,000 claes 19 author per 10,000 3 dialect per 10,000 ready 19 author per 10,000 0 dialect per 10,000 eneuch 19 author per 10,000 4 dialect per 10,000 me 19 author per 10,000 24 dialect per 10,000 turnt 19 author per 10,000 2 dialect per 10,000 ee 19 author per 10,000 3 dialect per 10,000 deuteronomy 19 author per 10,000 0 dialect per 10,000 stood 19 author per 10,000 0 dialect per 10,000 will 19 author per 10,000 2 dialect per 10,000 windae 19 author per 10,000 0 dialect per 10,000 feet 19 author per 10,000 3 dialect per 10,000 roond 19 author per 10,000 1 dialect per 10,000 meenit 19 author per 10,000 0 dialect per 10,000 thae 19 author per 10,000 4 dialect per 10,000 bonnie 19 author per 10,000 0 dialect per 10,000 fell 12 author per 10,000 1 dialect per 10,000 greet 12 author per 10,000 0 dialect per 10,000 tak 12 author per 10,000 14 dialect per 10,000 legs 12 author per 10,000 1 dialect per 10,000 likit 12 author per 10,000 0 dialect per 10,000 front 12 author per 10,000 1 dialect per 10,000 aa 12 author per 10,000 45 dialect per 10,000 aye 12 author per 10,000 12 dialect per 10,000 fud 12 author per 10,000 0 dialect per 10,000 watchit 12 author per 10,000 0 dialect per 10,000 whiles 12 author per 10,000 2 dialect per 10,000 wirds 12 author per 10,000 0 dialect per 10,000 couldnae 12 author per 10,000 0 dialect per 10,000 frae 12 author per 10,000 33 dialect per 10,000 nor 12 author per 10,000 12 dialect per 10,000 corner 12 author per 10,000 0 dialect per 10,000 €™ll 12 author per 10,000 2 dialect per 10,000 bad 12 author per 10,000 3 dialect per 10,000 toon 12 author per 10,000 5 dialect per 10,000 put 12 author per 10,000 1 dialect per 10,000 shottie 12 author per 10,000 0 dialect per 10,000 stoppit 12 author per 10,000 0 dialect per 10,000 cuidnae 12 author per 10,000 0 dialect per 10,000 agin 12 author per 10,000 7 dialect per 10,000 held 12 author per 10,000 0 dialect per 10,000 show 12 author per 10,000 2 dialect per 10,000 queer 12 author per 10,000 0 dialect per 10,000 bard 12 author per 10,000 0 dialect per 10,000 smile 12 author per 10,000 1 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 people 12 author per 10,000 1 dialect per 10,000 loose 12 author per 10,000 0 dialect per 10,000 thy 12 author per 10,000 0 dialect per 10,000 licht 12 author per 10,000 5 dialect per 10,000 thegither 12 author per 10,000 4 dialect per 10,000 three 12 author per 10,000 3 dialect per 10,000 even 12 author per 10,000 4 dialect per 10,000 return 12 author per 10,000 0 dialect per 10,000 thou 12 author per 10,000 0 dialect per 10,000 elements 12 author per 10,000 0 dialect per 10,000 thee 12 author per 10,000 2 dialect per 10,000 to 12 author per 10,000 2 dialect per 10,000 big 12 author per 10,000 8 dialect per 10,000 god 12 author per 10,000 12 dialect per 10,000 lift 12 author per 10,000 1 dialect per 10,000 young 12 author per 10,000 2 dialect per 10,000 gaun 12 author per 10,000 2 dialect per 10,000 esther 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 didnae 12 author per 10,000 5 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 quick 12 author per 10,000 1 dialect per 10,000 stick 12 author per 10,000 1 dialect per 10,000 them 12 author per 10,000 7 dialect per 10,000 stanes 12 author per 10,000 2 dialect per 10,000 face 12 author per 10,000 3 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 scuffed 12 author per 10,000 0 dialect per 10,000 syne 12 author per 10,000 1 dialect per 10,000 alang 12 author per 10,000 5 dialect per 10,000 fair 12 author per 10,000 2 dialect per 10,000 rain 12 author per 10,000 1 dialect per 10,000 een 12 author per 10,000 6 dialect per 10,000 just 12 author per 10,000 1 dialect per 10,000