A Corpus of 21st Century Scots Texts

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Chisnall, Edward F. H.

Punctuation analysis - Fine grain dialect analysis - Basic author info
Total words by this author in corpus - 13,746
Total unique words used by this author in corpus - 3,619
Ratio of total words to unique words - 3.798
Top ten most common words - the, and, o, a, in, tae, that, aw, ye, yer,

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.

Lallans
the 591 author per 10,000 563 dialect per 10,000 and 388 author per 10,000 84 dialect per 10,000 o 276 author per 10,000 190 dialect per 10,000 a 250 author per 10,000 261 dialect per 10,000 in 198 author per 10,000 149 dialect per 10,000 tae 177 author per 10,000 221 dialect per 10,000 that 148 author per 10,000 118 dialect per 10,000 aw 142 author per 10,000 42 dialect per 10,000 ye 121 author per 10,000 54 dialect per 10,000 yer 119 author per 10,000 16 dialect per 10,000 or 103 author per 10,000 28 dialect per 10,000 on 93 author per 10,000 55 dialect per 10,000 wi 93 author per 10,000 62 dialect per 10,000 for 85 author per 10,000 47 dialect per 10,000 as 78 author per 10,000 60 dialect per 10,000 like 73 author per 10,000 27 dialect per 10,000 it 68 author per 10,000 123 dialect per 10,000 at 65 author per 10,000 56 dialect per 10,000 but 54 author per 10,000 46 dialect per 10,000 is 51 author per 10,000 63 dialect per 10,000 they 51 author per 10,000 43 dialect per 10,000 wis 47 author per 10,000 102 dialect per 10,000 we 47 author per 10,000 34 dialect per 10,000 no 47 author per 10,000 34 dialect per 10,000 by 46 author per 10,000 17 dialect per 10,000 frae 44 author per 10,000 13 dialect per 10,000 doon 43 author per 10,000 17 dialect per 10,000 up 39 author per 10,000 40 dialect per 10,000 it's 38 author per 10,000 16 dialect per 10,000 thare 37 author per 10,000 1 dialect per 10,000 so 37 author per 10,000 9 dialect per 10,000 whan 37 author per 10,000 11 dialect per 10,000 wee 36 author per 10,000 23 dialect per 10,000 than 36 author per 10,000 11 dialect per 10,000 ma 36 author per 10,000 48 dialect per 10,000 whaur 36 author per 10,000 8 dialect per 10,000 i 35 author per 10,000 35 dialect per 10,000 oot 35 author per 10,000 40 dialect per 10,000 auld 35 author per 10,000 14 dialect per 10,000 oor 34 author per 10,000 16 dialect per 10,000 jist 33 author per 10,000 23 dialect per 10,000 see 31 author per 10,000 16 dialect per 10,000 their 31 author per 10,000 19 dialect per 10,000 be 30 author per 10,000 51 dialect per 10,000 that's 29 author per 10,000 9 dialect per 10,000 are 28 author per 10,000 17 dialect per 10,000 this 28 author per 10,000 44 dialect per 10,000 noo 27 author per 10,000 12 dialect per 10,000 back 27 author per 10,000 21 dialect per 10,000 his 25 author per 10,000 53 dialect per 10,000 he 25 author per 10,000 90 dialect per 10,000 war 23 author per 10,000 4 dialect per 10,000 if 23 author per 10,000 17 dialect per 10,000 her 23 author per 10,000 48 dialect per 10,000 us 23 author per 10,000 14 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 day 22 author per 10,000 13 dialect per 10,000 an 22 author per 10,000 223 dialect per 10,000 mair 22 author per 10,000 19 dialect per 10,000 here 22 author per 10,000 11 dialect per 10,000 wan 22 author per 10,000 9 dialect per 10,000 aff 21 author per 10,000 14 dialect per 10,000 nae 21 author per 10,000 20 dialect per 10,000 wey 20 author per 10,000 12 dialect per 10,000 yin 20 author per 10,000 8 dialect per 10,000 still 20 author per 10,000 8 dialect per 10,000 mebbe 20 author per 10,000 1 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 9 dialect per 10,000 again 19 author per 10,000 8 dialect per 10,000 ain 19 author per 10,000 10 dialect per 10,000 whit 18 author per 10,000 27 dialect per 10,000 you 18 author per 10,000 17 dialect per 10,000 yon 18 author per 10,000 3 dialect per 10,000 laund 17 author per 10,000 0 dialect per 10,000 thae 17 author per 10,000 5 dialect per 10,000 niver 17 author per 10,000 1 dialect per 10,000 life 17 author per 10,000 6 dialect per 10,000 sae 16 author per 10,000 14 dialect per 10,000 ither 16 author per 10,000 12 dialect per 10,000 weans 16 author per 10,000 1 dialect per 10,000 me 16 author per 10,000 40 dialect per 10,000 lang 16 author per 10,000 8 dialect per 10,000 nicht 15 author per 10,000 5 dialect per 10,000 kin 15 author per 10,000 5 dialect per 10,000 him 15 author per 10,000 29 dialect per 10,000 will 15 author per 10,000 11 dialect per 10,000 mak 15 author per 10,000 8 dialect per 10,000 mynd 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 15 dialect per 10,000 even 14 author per 10,000 10 dialect per 10,000 aboot 13 author per 10,000 31 dialect per 10,000 said 12 author per 10,000 39 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 canna 12 author per 10,000 3 dialect per 10,000 thare's 12 author per 10,000 0 dialect per 10,000 say 12 author per 10,000 10 dialect per 10,000 thon 12 author per 10,000 6 dialect per 10,000 heid 12 author per 10,000 10 dialect per 10,000 ower 12 author per 10,000 18 dialect per 10,000 dae 12 author per 10,000 17 dialect per 10,000 cam 12 author per 10,000 8 dialect per 10,000 ye're 12 author per 10,000 2 dialect per 10,000 hame 12 author per 10,000 5 dialect per 10,000 intae 12 author per 10,000 19 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 some 12 author per 10,000 14 dialect per 10,000 ken 12 author per 10,000 14 dialect per 10,000 thing 11 author per 10,000 7 dialect per 10,000 twa 11 author per 10,000 9 dialect per 10,000 new 11 author per 10,000 7 dialect per 10,000 weel 11 author per 10,000 8 dialect per 10,000 afore 11 author per 10,000 9 dialect per 10,000 haurd 11 author per 10,000 1 dialect per 10,000 licht 11 author per 10,000 2 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 warld 10 author per 10,000 4 dialect per 10,000 great 10 author per 10,000 3 dialect per 10,000 she 10 author per 10,000 61 dialect per 10,000 real 10 author per 10,000 2 dialect per 10,000 efter 10 author per 10,000 9 dialect per 10,000 abuin 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 10 dialect per 10,000 roond 9 author per 10,000 4 dialect per 10,000 thegither 9 author per 10,000 3 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 gat 9 author per 10,000 1 dialect per 10,000 luve 9 author per 10,000 1 dialect per 10,000 ye'll 9 author per 10,000 2 dialect per 10,000 nor 9 author per 10,000 6 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 made 9 author per 10,000 8 dialect per 10,000 past 9 author per 10,000 3 dialect per 10,000 bit 9 author per 10,000 16 dialect per 10,000 dinna 9 author per 10,000 4 dialect per 10,000 hae 9 author per 10,000 22 dialect per 10,000 first 9 author per 10,000 10 dialect per 10,000 get 9 author per 10,000 16 dialect per 10,000 while 9 author per 10,000 5 dialect per 10,000 anither 9 author per 10,000 6 dialect per 10,000 end 9 author per 10,000 4 dialect per 10,000 fine 9 author per 10,000 3 dialect per 10,000 green 9 author per 10,000 2 dialect per 10,000 black 9 author per 10,000 2 dialect per 10,000 hoose 8 author per 10,000 6 dialect per 10,000 they're 8 author per 10,000 2 dialect per 10,000 only 8 author per 10,000 6 dialect per 10,000 richt 8 author per 10,000 13 dialect per 10,000 hert 8 author per 10,000 3 dialect per 10,000 haund 8 author per 10,000 1 dialect per 10,000 deid 8 author per 10,000 3 dialect per 10,000 comin 8 author per 10,000 3 dialect per 10,000 fear 8 author per 10,000 1 dialect per 10,000 come 8 author per 10,000 9 dialect per 10,000 watter 8 author per 10,000 3 dialect per 10,000 which 8 author per 10,000 5 dialect per 10,000 its 8 author per 10,000 11 dialect per 10,000 daurk 7 author per 10,000 1 dialect per 10,000 verra 7 author per 10,000 2 dialect per 10,000 awa 7 author per 10,000 9 dialect per 10,000 scots 7 author per 10,000 34 dialect per 10,000 big 7 author per 10,000 8 dialect per 10,000 livin 7 author per 10,000 1 dialect per 10,000 ahint 7 author per 10,000 2 dialect per 10,000 yet 7 author per 10,000 3 dialect per 10,000 close 7 author per 10,000 2 dialect per 10,000 maw 7 author per 10,000 1 dialect per 10,000 cawed 7 author per 10,000 1 dialect per 10,000 cauld 7 author per 10,000 2 dialect per 10,000 hale 7 author per 10,000 2 dialect per 10,000 across 7 author per 10,000 2 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000 haed 7 author per 10,000 5 dialect per 10,000 ony 7 author per 10,000 6 dialect per 10,000 yins 7 author per 10,000 1 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 2 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 7 dialect per 10,000 naethin 7 author per 10,000 2 dialect per 10,000 people 7 author per 10,000 2 dialect per 10,000 fair 7 author per 10,000 3 dialect per 10,000 sicht 7 author per 10,000 1 dialect per 10,000 god 6 author per 10,000 1 dialect per 10,000 second 6 author per 10,000 1 dialect per 10,000 bed 6 author per 10,000 2 dialect per 10,000 have 6 author per 10,000 3 dialect per 10,000 bluid 6 author per 10,000 1 dialect per 10,000 deith 6 author per 10,000 0 dialect per 10,000 likely 6 author per 10,000 1 dialect per 10,000 fast 6 author per 10,000 1 dialect per 10,000 tap 6 author per 10,000 2 dialect per 10,000 built 6 author per 10,000 0 dialect per 10,000 alang 6 author per 10,000 4 dialect per 10,000 faur 6 author per 10,000 3 dialect per 10,000 hair 6 author per 10,000 3 dialect per 10,000 hou 6 author per 10,000 5 dialect per 10,000 things 6 author per 10,000 6 dialect per 10,000
Doric
the 591 author per 10,000 534 dialect per 10,000 and 388 author per 10,000 46 dialect per 10,000 o 276 author per 10,000 200 dialect per 10,000 a 250 author per 10,000 285 dialect per 10,000 in 198 author per 10,000 136 dialect per 10,000 tae 177 author per 10,000 178 dialect per 10,000 that 148 author per 10,000 60 dialect per 10,000 aw 142 author per 10,000 1 dialect per 10,000 ye 121 author per 10,000 77 dialect per 10,000 yer 119 author per 10,000 30 dialect per 10,000 or 103 author per 10,000 23 dialect per 10,000 on 93 author per 10,000 65 dialect per 10,000 wi 93 author per 10,000 88 dialect per 10,000 for 85 author per 10,000 40 dialect per 10,000 as 78 author per 10,000 57 dialect per 10,000 like 73 author per 10,000 41 dialect per 10,000 it 68 author per 10,000 109 dialect per 10,000 at 65 author per 10,000 57 dialect per 10,000 but 54 author per 10,000 15 dialect per 10,000 is 51 author per 10,000 41 dialect per 10,000 they 51 author per 10,000 40 dialect per 10,000 wis 47 author per 10,000 115 dialect per 10,000 we 47 author per 10,000 21 dialect per 10,000 no 47 author per 10,000 5 dialect per 10,000 by 46 author per 10,000 7 dialect per 10,000 frae 44 author per 10,000 14 dialect per 10,000 doon 43 author per 10,000 33 dialect per 10,000 up 39 author per 10,000 48 dialect per 10,000 it's 38 author per 10,000 18 dialect per 10,000 thare 37 author per 10,000 0 dialect per 10,000 so 37 author per 10,000 12 dialect per 10,000 whan 37 author per 10,000 0 dialect per 10,000 wee 36 author per 10,000 19 dialect per 10,000 than 36 author per 10,000 9 dialect per 10,000 ma 36 author per 10,000 44 dialect per 10,000 whaur 36 author per 10,000 0 dialect per 10,000 i 35 author per 10,000 54 dialect per 10,000 oot 35 author per 10,000 53 dialect per 10,000 auld 35 author per 10,000 10 dialect per 10,000 oor 34 author per 10,000 9 dialect per 10,000 jist 33 author per 10,000 36 dialect per 10,000 see 31 author per 10,000 21 dialect per 10,000 their 31 author per 10,000 23 dialect per 10,000 be 30 author per 10,000 44 dialect per 10,000 that's 29 author per 10,000 1 dialect per 10,000 are 28 author per 10,000 15 dialect per 10,000 this 28 author per 10,000 22 dialect per 10,000 noo 27 author per 10,000 20 dialect per 10,000 back 27 author per 10,000 23 dialect per 10,000 his 25 author per 10,000 79 dialect per 10,000 he 25 author per 10,000 103 dialect per 10,000 war 23 author per 10,000 15 dialect per 10,000 if 23 author per 10,000 17 dialect per 10,000 her 23 author per 10,000 75 dialect per 10,000 us 23 author per 10,000 6 dialect per 10,000 time 22 author per 10,000 20 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 day 22 author per 10,000 34 dialect per 10,000 an 22 author per 10,000 315 dialect per 10,000 mair 22 author per 10,000 19 dialect per 10,000 here 22 author per 10,000 9 dialect per 10,000 wan 22 author per 10,000 2 dialect per 10,000 aff 21 author per 10,000 15 dialect per 10,000 nae 21 author per 10,000 49 dialect per 10,000 wey 20 author per 10,000 1 dialect per 10,000 yin 20 author per 10,000 1 dialect per 10,000 still 20 author per 10,000 6 dialect per 10,000 mebbe 20 author per 10,000 5 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 0 dialect per 10,000 again 19 author per 10,000 9 dialect per 10,000 ain 19 author per 10,000 9 dialect per 10,000 whit 18 author per 10,000 3 dialect per 10,000 you 18 author per 10,000 21 dialect per 10,000 yon 18 author per 10,000 9 dialect per 10,000 laund 17 author per 10,000 0 dialect per 10,000 thae 17 author per 10,000 0 dialect per 10,000 niver 17 author per 10,000 5 dialect per 10,000 life 17 author per 10,000 6 dialect per 10,000 sae 16 author per 10,000 16 dialect per 10,000 ither 16 author per 10,000 8 dialect per 10,000 weans 16 author per 10,000 0 dialect per 10,000 me 16 author per 10,000 21 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 nicht 15 author per 10,000 12 dialect per 10,000 kin 15 author per 10,000 1 dialect per 10,000 him 15 author per 10,000 38 dialect per 10,000 will 15 author per 10,000 11 dialect per 10,000 mak 15 author per 10,000 8 dialect per 10,000 mynd 14 author per 10,000 1 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 even 14 author per 10,000 8 dialect per 10,000 aboot 13 author per 10,000 35 dialect per 10,000 said 12 author per 10,000 34 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 canna 12 author per 10,000 6 dialect per 10,000 thare's 12 author per 10,000 0 dialect per 10,000 say 12 author per 10,000 12 dialect per 10,000 thon 12 author per 10,000 4 dialect per 10,000 heid 12 author per 10,000 11 dialect per 10,000 ower 12 author per 10,000 28 dialect per 10,000 dae 12 author per 10,000 4 dialect per 10,000 cam 12 author per 10,000 12 dialect per 10,000 ye're 12 author per 10,000 5 dialect per 10,000 hame 12 author per 10,000 11 dialect per 10,000 intae 12 author per 10,000 12 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 some 12 author per 10,000 13 dialect per 10,000 ken 12 author per 10,000 16 dialect per 10,000 thing 11 author per 10,000 5 dialect per 10,000 twa 11 author per 10,000 20 dialect per 10,000 new 11 author per 10,000 6 dialect per 10,000 weel 11 author per 10,000 15 dialect per 10,000 afore 11 author per 10,000 14 dialect per 10,000 haurd 11 author per 10,000 0 dialect per 10,000 licht 11 author per 10,000 4 dialect per 10,000 gane 10 author per 10,000 0 dialect per 10,000 warld 10 author per 10,000 3 dialect per 10,000 great 10 author per 10,000 5 dialect per 10,000 she 10 author per 10,000 63 dialect per 10,000 real 10 author per 10,000 2 dialect per 10,000 efter 10 author per 10,000 10 dialect per 10,000 abuin 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 6 dialect per 10,000 roond 9 author per 10,000 0 dialect per 10,000 thegither 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 gat 9 author per 10,000 2 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 ye'll 9 author per 10,000 5 dialect per 10,000 nor 9 author per 10,000 5 dialect per 10,000 nane 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 9 dialect per 10,000 past 9 author per 10,000 3 dialect per 10,000 bit 9 author per 10,000 48 dialect per 10,000 dinna 9 author per 10,000 13 dialect per 10,000 hae 9 author per 10,000 18 dialect per 10,000 first 9 author per 10,000 8 dialect per 10,000 get 9 author per 10,000 14 dialect per 10,000 while 9 author per 10,000 2 dialect per 10,000 anither 9 author per 10,000 7 dialect per 10,000 end 9 author per 10,000 2 dialect per 10,000 fine 9 author per 10,000 14 dialect per 10,000 green 9 author per 10,000 3 dialect per 10,000 black 9 author per 10,000 3 dialect per 10,000 hoose 8 author per 10,000 12 dialect per 10,000 they're 8 author per 10,000 1 dialect per 10,000 only 8 author per 10,000 4 dialect per 10,000 richt 8 author per 10,000 16 dialect per 10,000 hert 8 author per 10,000 1 dialect per 10,000 haund 8 author per 10,000 0 dialect per 10,000 deid 8 author per 10,000 2 dialect per 10,000 comin 8 author per 10,000 5 dialect per 10,000 fear 8 author per 10,000 2 dialect per 10,000 come 8 author per 10,000 12 dialect per 10,000 watter 8 author per 10,000 4 dialect per 10,000 which 8 author per 10,000 2 dialect per 10,000 its 8 author per 10,000 8 dialect per 10,000 daurk 7 author per 10,000 0 dialect per 10,000 verra 7 author per 10,000 3 dialect per 10,000 awa 7 author per 10,000 22 dialect per 10,000 scots 7 author per 10,000 4 dialect per 10,000 big 7 author per 10,000 5 dialect per 10,000 livin 7 author per 10,000 1 dialect per 10,000 ahint 7 author per 10,000 0 dialect per 10,000 yet 7 author per 10,000 2 dialect per 10,000 close 7 author per 10,000 2 dialect per 10,000 maw 7 author per 10,000 0 dialect per 10,000 cawed 7 author per 10,000 0 dialect per 10,000 cauld 7 author per 10,000 6 dialect per 10,000 hale 7 author per 10,000 7 dialect per 10,000 across 7 author per 10,000 2 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000 haed 7 author per 10,000 0 dialect per 10,000 ony 7 author per 10,000 9 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 4 dialect per 10,000 days 7 author per 10,000 6 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 6 dialect per 10,000 naethin 7 author per 10,000 4 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 7 dialect per 10,000 sicht 7 author per 10,000 3 dialect per 10,000 god 6 author per 10,000 6 dialect per 10,000 second 6 author per 10,000 1 dialect per 10,000 bed 6 author per 10,000 3 dialect per 10,000 have 6 author per 10,000 1 dialect per 10,000 bluid 6 author per 10,000 1 dialect per 10,000 deith 6 author per 10,000 0 dialect per 10,000 likely 6 author per 10,000 1 dialect per 10,000 fast 6 author per 10,000 1 dialect per 10,000 tap 6 author per 10,000 4 dialect per 10,000 built 6 author per 10,000 0 dialect per 10,000 alang 6 author per 10,000 2 dialect per 10,000 faur 6 author per 10,000 0 dialect per 10,000 hair 6 author per 10,000 3 dialect per 10,000 hou 6 author per 10,000 0 dialect per 10,000 things 6 author per 10,000 6 dialect per 10,000
Shetland
the 591 author per 10,000 23 dialect per 10,000 and 388 author per 10,000 19 dialect per 10,000 o 276 author per 10,000 187 dialect per 10,000 a 250 author per 10,000 235 dialect per 10,000 in 198 author per 10,000 93 dialect per 10,000 tae 177 author per 10,000 60 dialect per 10,000 that 148 author per 10,000 4 dialect per 10,000 aw 142 author per 10,000 1 dialect per 10,000 ye 121 author per 10,000 0 dialect per 10,000 yer 119 author per 10,000 1 dialect per 10,000 or 103 author per 10,000 28 dialect per 10,000 on 93 author per 10,000 52 dialect per 10,000 wi 93 author per 10,000 92 dialect per 10,000 for 85 author per 10,000 48 dialect per 10,000 as 78 author per 10,000 78 dialect per 10,000 like 73 author per 10,000 2 dialect per 10,000 it 68 author per 10,000 59 dialect per 10,000 at 65 author per 10,000 119 dialect per 10,000 but 54 author per 10,000 36 dialect per 10,000 is 51 author per 10,000 62 dialect per 10,000 they 51 author per 10,000 1 dialect per 10,000 wis 47 author per 10,000 178 dialect per 10,000 we 47 author per 10,000 38 dialect per 10,000 no 47 author per 10,000 37 dialect per 10,000 by 46 author per 10,000 8 dialect per 10,000 frae 44 author per 10,000 1 dialect per 10,000 doon 43 author per 10,000 28 dialect per 10,000 up 39 author per 10,000 42 dialect per 10,000 it's 38 author per 10,000 4 dialect per 10,000 thare 37 author per 10,000 0 dialect per 10,000 so 37 author per 10,000 32 dialect per 10,000 whan 37 author per 10,000 11 dialect per 10,000 wee 36 author per 10,000 0 dialect per 10,000 than 36 author per 10,000 0 dialect per 10,000 ma 36 author per 10,000 0 dialect per 10,000 whaur 36 author per 10,000 0 dialect per 10,000 i 35 author per 10,000 133 dialect per 10,000 oot 35 author per 10,000 47 dialect per 10,000 auld 35 author per 10,000 1 dialect per 10,000 oor 34 author per 10,000 1 dialect per 10,000 jist 33 author per 10,000 0 dialect per 10,000 see 31 author per 10,000 22 dialect per 10,000 their 31 author per 10,000 1 dialect per 10,000 be 30 author per 10,000 60 dialect per 10,000 that's 29 author per 10,000 0 dialect per 10,000 are 28 author per 10,000 2 dialect per 10,000 this 28 author per 10,000 1 dialect per 10,000 noo 27 author per 10,000 19 dialect per 10,000 back 27 author per 10,000 19 dialect per 10,000 his 25 author per 10,000 61 dialect per 10,000 he 25 author per 10,000 122 dialect per 10,000 war 23 author per 10,000 1 dialect per 10,000 if 23 author per 10,000 30 dialect per 10,000 her 23 author per 10,000 55 dialect per 10,000 us 23 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 21 dialect per 10,000 aye 22 author per 10,000 12 dialect per 10,000 day 22 author per 10,000 22 dialect per 10,000 an 22 author per 10,000 349 dialect per 10,000 mair 22 author per 10,000 18 dialect per 10,000 here 22 author per 10,000 11 dialect per 10,000 wan 22 author per 10,000 18 dialect per 10,000 aff 21 author per 10,000 22 dialect per 10,000 nae 21 author per 10,000 26 dialect per 10,000 wey 20 author per 10,000 1 dialect per 10,000 yin 20 author per 10,000 0 dialect per 10,000 still 20 author per 10,000 8 dialect per 10,000 mebbe 20 author per 10,000 0 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 0 dialect per 10,000 again 19 author per 10,000 5 dialect per 10,000 ain 19 author per 10,000 6 dialect per 10,000 whit 18 author per 10,000 56 dialect per 10,000 you 18 author per 10,000 57 dialect per 10,000 yon 18 author per 10,000 8 dialect per 10,000 laund 17 author per 10,000 0 dialect per 10,000 thae 17 author per 10,000 0 dialect per 10,000 niver 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 7 dialect per 10,000 sae 16 author per 10,000 9 dialect per 10,000 ither 16 author per 10,000 0 dialect per 10,000 weans 16 author per 10,000 0 dialect per 10,000 me 16 author per 10,000 51 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 nicht 15 author per 10,000 3 dialect per 10,000 kin 15 author per 10,000 2 dialect per 10,000 him 15 author per 10,000 57 dialect per 10,000 will 15 author per 10,000 10 dialect per 10,000 mak 15 author per 10,000 14 dialect per 10,000 mynd 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 16 dialect per 10,000 even 14 author per 10,000 9 dialect per 10,000 aboot 13 author per 10,000 43 dialect per 10,000 said 12 author per 10,000 94 dialect per 10,000 not 12 author per 10,000 2 dialect per 10,000 canna 12 author per 10,000 9 dialect per 10,000 thare's 12 author per 10,000 0 dialect per 10,000 say 12 author per 10,000 15 dialect per 10,000 thon 12 author per 10,000 0 dialect per 10,000 heid 12 author per 10,000 1 dialect per 10,000 ower 12 author per 10,000 27 dialect per 10,000 dae 12 author per 10,000 2 dialect per 10,000 cam 12 author per 10,000 23 dialect per 10,000 ye're 12 author per 10,000 0 dialect per 10,000 hame 12 author per 10,000 7 dialect per 10,000 intae 12 author per 10,000 6 dialect per 10,000 young 12 author per 10,000 4 dialect per 10,000 some 12 author per 10,000 14 dialect per 10,000 ken 12 author per 10,000 16 dialect per 10,000 thing 11 author per 10,000 9 dialect per 10,000 twa 11 author per 10,000 11 dialect per 10,000 new 11 author per 10,000 6 dialect per 10,000 weel 11 author per 10,000 19 dialect per 10,000 afore 11 author per 10,000 16 dialect per 10,000 haurd 11 author per 10,000 0 dialect per 10,000 licht 11 author per 10,000 3 dialect per 10,000 gane 10 author per 10,000 0 dialect per 10,000 warld 10 author per 10,000 0 dialect per 10,000 great 10 author per 10,000 0 dialect per 10,000 she 10 author per 10,000 3 dialect per 10,000 real 10 author per 10,000 0 dialect per 10,000 efter 10 author per 10,000 14 dialect per 10,000 abuin 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 23 dialect per 10,000 roond 9 author per 10,000 2 dialect per 10,000 thegither 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 gat 9 author per 10,000 0 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 ye'll 9 author per 10,000 0 dialect per 10,000 nor 9 author per 10,000 3 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 made 9 author per 10,000 2 dialect per 10,000 past 9 author per 10,000 2 dialect per 10,000 bit 9 author per 10,000 32 dialect per 10,000 dinna 9 author per 10,000 0 dialect per 10,000 hae 9 author per 10,000 25 dialect per 10,000 first 9 author per 10,000 11 dialect per 10,000 get 9 author per 10,000 6 dialect per 10,000 while 9 author per 10,000 5 dialect per 10,000 anither 9 author per 10,000 0 dialect per 10,000 end 9 author per 10,000 6 dialect per 10,000 fine 9 author per 10,000 6 dialect per 10,000 green 9 author per 10,000 2 dialect per 10,000 black 9 author per 10,000 2 dialect per 10,000 hoose 8 author per 10,000 9 dialect per 10,000 they're 8 author per 10,000 0 dialect per 10,000 only 8 author per 10,000 7 dialect per 10,000 richt 8 author per 10,000 20 dialect per 10,000 hert 8 author per 10,000 3 dialect per 10,000 haund 8 author per 10,000 0 dialect per 10,000 deid 8 author per 10,000 0 dialect per 10,000 comin 8 author per 10,000 6 dialect per 10,000 fear 8 author per 10,000 0 dialect per 10,000 come 8 author per 10,000 21 dialect per 10,000 watter 8 author per 10,000 5 dialect per 10,000 which 8 author per 10,000 1 dialect per 10,000 its 8 author per 10,000 3 dialect per 10,000 daurk 7 author per 10,000 0 dialect per 10,000 verra 7 author per 10,000 0 dialect per 10,000 awa 7 author per 10,000 15 dialect per 10,000 scots 7 author per 10,000 3 dialect per 10,000 big 7 author per 10,000 2 dialect per 10,000 livin 7 author per 10,000 3 dialect per 10,000 ahint 7 author per 10,000 4 dialect per 10,000 yet 7 author per 10,000 2 dialect per 10,000 close 7 author per 10,000 0 dialect per 10,000 maw 7 author per 10,000 0 dialect per 10,000 cawed 7 author per 10,000 0 dialect per 10,000 cauld 7 author per 10,000 0 dialect per 10,000 hale 7 author per 10,000 4 dialect per 10,000 across 7 author per 10,000 1 dialect per 10,000 lost 7 author per 10,000 2 dialect per 10,000 haed 7 author per 10,000 3 dialect per 10,000 ony 7 author per 10,000 13 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 0 dialect per 10,000 days 7 author per 10,000 3 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 7 dialect per 10,000 naethin 7 author per 10,000 10 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 1 dialect per 10,000 sicht 7 author per 10,000 2 dialect per 10,000 god 6 author per 10,000 1 dialect per 10,000 second 6 author per 10,000 2 dialect per 10,000 bed 6 author per 10,000 2 dialect per 10,000 have 6 author per 10,000 2 dialect per 10,000 bluid 6 author per 10,000 0 dialect per 10,000 deith 6 author per 10,000 0 dialect per 10,000 likely 6 author per 10,000 0 dialect per 10,000 fast 6 author per 10,000 2 dialect per 10,000 tap 6 author per 10,000 3 dialect per 10,000 built 6 author per 10,000 0 dialect per 10,000 alang 6 author per 10,000 5 dialect per 10,000 faur 6 author per 10,000 0 dialect per 10,000 hair 6 author per 10,000 3 dialect per 10,000 hou 6 author per 10,000 0 dialect per 10,000 things 6 author per 10,000 10 dialect per 10,000
Orkney
the 591 author per 10,000 525 dialect per 10,000 and 388 author per 10,000 249 dialect per 10,000 o 276 author per 10,000 182 dialect per 10,000 a 250 author per 10,000 308 dialect per 10,000 in 198 author per 10,000 154 dialect per 10,000 tae 177 author per 10,000 222 dialect per 10,000 that 148 author per 10,000 97 dialect per 10,000 aw 142 author per 10,000 0 dialect per 10,000 ye 121 author per 10,000 19 dialect per 10,000 yer 119 author per 10,000 7 dialect per 10,000 or 103 author per 10,000 30 dialect per 10,000 on 93 author per 10,000 80 dialect per 10,000 wi 93 author per 10,000 61 dialect per 10,000 for 85 author per 10,000 27 dialect per 10,000 as 78 author per 10,000 58 dialect per 10,000 like 73 author per 10,000 27 dialect per 10,000 it 68 author per 10,000 29 dialect per 10,000 at 65 author per 10,000 53 dialect per 10,000 but 54 author per 10,000 24 dialect per 10,000 is 51 author per 10,000 54 dialect per 10,000 they 51 author per 10,000 44 dialect per 10,000 wis 47 author per 10,000 105 dialect per 10,000 we 47 author per 10,000 40 dialect per 10,000 no 47 author per 10,000 55 dialect per 10,000 by 46 author per 10,000 10 dialect per 10,000 frae 44 author per 10,000 0 dialect per 10,000 doon 43 author per 10,000 29 dialect per 10,000 up 39 author per 10,000 31 dialect per 10,000 it's 38 author per 10,000 1 dialect per 10,000 thare 37 author per 10,000 0 dialect per 10,000 so 37 author per 10,000 34 dialect per 10,000 whan 37 author per 10,000 4 dialect per 10,000 wee 36 author per 10,000 1 dialect per 10,000 than 36 author per 10,000 13 dialect per 10,000 ma 36 author per 10,000 1 dialect per 10,000 whaur 36 author per 10,000 1 dialect per 10,000 i 35 author per 10,000 188 dialect per 10,000 oot 35 author per 10,000 52 dialect per 10,000 auld 35 author per 10,000 1 dialect per 10,000 oor 34 author per 10,000 1 dialect per 10,000 jist 33 author per 10,000 1 dialect per 10,000 see 31 author per 10,000 15 dialect per 10,000 their 31 author per 10,000 10 dialect per 10,000 be 30 author per 10,000 48 dialect per 10,000 that's 29 author per 10,000 9 dialect per 10,000 are 28 author per 10,000 16 dialect per 10,000 this 28 author per 10,000 37 dialect per 10,000 noo 27 author per 10,000 21 dialect per 10,000 back 27 author per 10,000 25 dialect per 10,000 his 25 author per 10,000 77 dialect per 10,000 he 25 author per 10,000 122 dialect per 10,000 war 23 author per 10,000 1 dialect per 10,000 if 23 author per 10,000 16 dialect per 10,000 her 23 author per 10,000 36 dialect per 10,000 us 23 author per 10,000 6 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 aye 22 author per 10,000 9 dialect per 10,000 day 22 author per 10,000 24 dialect per 10,000 an 22 author per 10,000 109 dialect per 10,000 mair 22 author per 10,000 1 dialect per 10,000 here 22 author per 10,000 11 dialect per 10,000 wan 22 author per 10,000 25 dialect per 10,000 aff 21 author per 10,000 12 dialect per 10,000 nae 21 author per 10,000 1 dialect per 10,000 wey 20 author per 10,000 9 dialect per 10,000 yin 20 author per 10,000 1 dialect per 10,000 still 20 author per 10,000 12 dialect per 10,000 mebbe 20 author per 10,000 1 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 1 dialect per 10,000 again 19 author per 10,000 11 dialect per 10,000 ain 19 author per 10,000 0 dialect per 10,000 whit 18 author per 10,000 26 dialect per 10,000 you 18 author per 10,000 36 dialect per 10,000 yon 18 author per 10,000 0 dialect per 10,000 laund 17 author per 10,000 0 dialect per 10,000 thae 17 author per 10,000 0 dialect per 10,000 niver 17 author per 10,000 1 dialect per 10,000 life 17 author per 10,000 8 dialect per 10,000 sae 16 author per 10,000 1 dialect per 10,000 ither 16 author per 10,000 8 dialect per 10,000 weans 16 author per 10,000 0 dialect per 10,000 me 16 author per 10,000 128 dialect per 10,000 lang 16 author per 10,000 1 dialect per 10,000 nicht 15 author per 10,000 0 dialect per 10,000 kin 15 author per 10,000 2 dialect per 10,000 him 15 author per 10,000 26 dialect per 10,000 will 15 author per 10,000 7 dialect per 10,000 mak 15 author per 10,000 8 dialect per 10,000 mynd 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 15 dialect per 10,000 even 14 author per 10,000 8 dialect per 10,000 aboot 13 author per 10,000 29 dialect per 10,000 said 12 author per 10,000 23 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 canna 12 author per 10,000 5 dialect per 10,000 thare's 12 author per 10,000 1 dialect per 10,000 say 12 author per 10,000 13 dialect per 10,000 thon 12 author per 10,000 0 dialect per 10,000 heid 12 author per 10,000 6 dialect per 10,000 ower 12 author per 10,000 15 dialect per 10,000 dae 12 author per 10,000 10 dialect per 10,000 cam 12 author per 10,000 11 dialect per 10,000 ye're 12 author per 10,000 0 dialect per 10,000 hame 12 author per 10,000 2 dialect per 10,000 intae 12 author per 10,000 14 dialect per 10,000 young 12 author per 10,000 3 dialect per 10,000 some 12 author per 10,000 21 dialect per 10,000 ken 12 author per 10,000 17 dialect per 10,000 thing 11 author per 10,000 9 dialect per 10,000 twa 11 author per 10,000 13 dialect per 10,000 new 11 author per 10,000 10 dialect per 10,000 weel 11 author per 10,000 23 dialect per 10,000 afore 11 author per 10,000 13 dialect per 10,000 haurd 11 author per 10,000 0 dialect per 10,000 licht 11 author per 10,000 0 dialect per 10,000 gane 10 author per 10,000 0 dialect per 10,000 warld 10 author per 10,000 1 dialect per 10,000 great 10 author per 10,000 6 dialect per 10,000 she 10 author per 10,000 7 dialect per 10,000 real 10 author per 10,000 1 dialect per 10,000 efter 10 author per 10,000 4 dialect per 10,000 abuin 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 14 dialect per 10,000 roond 9 author per 10,000 11 dialect per 10,000 thegither 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 9 dialect per 10,000 gat 9 author per 10,000 0 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 ye'll 9 author per 10,000 1 dialect per 10,000 nor 9 author per 10,000 2 dialect per 10,000 nane 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 1 dialect per 10,000 past 9 author per 10,000 2 dialect per 10,000 bit 9 author per 10,000 60 dialect per 10,000 dinna 9 author per 10,000 6 dialect per 10,000 hae 9 author per 10,000 17 dialect per 10,000 first 9 author per 10,000 6 dialect per 10,000 get 9 author per 10,000 14 dialect per 10,000 while 9 author per 10,000 8 dialect per 10,000 anither 9 author per 10,000 8 dialect per 10,000 end 9 author per 10,000 7 dialect per 10,000 fine 9 author per 10,000 6 dialect per 10,000 green 9 author per 10,000 4 dialect per 10,000 black 9 author per 10,000 5 dialect per 10,000 hoose 8 author per 10,000 11 dialect per 10,000 they're 8 author per 10,000 4 dialect per 10,000 only 8 author per 10,000 6 dialect per 10,000 richt 8 author per 10,000 0 dialect per 10,000 hert 8 author per 10,000 4 dialect per 10,000 haund 8 author per 10,000 0 dialect per 10,000 deid 8 author per 10,000 2 dialect per 10,000 comin 8 author per 10,000 2 dialect per 10,000 fear 8 author per 10,000 0 dialect per 10,000 come 8 author per 10,000 10 dialect per 10,000 watter 8 author per 10,000 3 dialect per 10,000 which 8 author per 10,000 2 dialect per 10,000 its 8 author per 10,000 3 dialect per 10,000 daurk 7 author per 10,000 0 dialect per 10,000 verra 7 author per 10,000 0 dialect per 10,000 awa 7 author per 10,000 1 dialect per 10,000 scots 7 author per 10,000 12 dialect per 10,000 big 7 author per 10,000 8 dialect per 10,000 livin 7 author per 10,000 0 dialect per 10,000 ahint 7 author per 10,000 3 dialect per 10,000 yet 7 author per 10,000 5 dialect per 10,000 close 7 author per 10,000 1 dialect per 10,000 maw 7 author per 10,000 0 dialect per 10,000 cawed 7 author per 10,000 0 dialect per 10,000 cauld 7 author per 10,000 0 dialect per 10,000 hale 7 author per 10,000 0 dialect per 10,000 across 7 author per 10,000 4 dialect per 10,000 lost 7 author per 10,000 3 dialect per 10,000 haed 7 author per 10,000 10 dialect per 10,000 ony 7 author per 10,000 1 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 1 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 0 dialect per 10,000 naethin 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 3 dialect per 10,000 sicht 7 author per 10,000 0 dialect per 10,000 god 6 author per 10,000 2 dialect per 10,000 second 6 author per 10,000 1 dialect per 10,000 bed 6 author per 10,000 9 dialect per 10,000 have 6 author per 10,000 2 dialect per 10,000 bluid 6 author per 10,000 0 dialect per 10,000 deith 6 author per 10,000 0 dialect per 10,000 likely 6 author per 10,000 2 dialect per 10,000 fast 6 author per 10,000 1 dialect per 10,000 tap 6 author per 10,000 3 dialect per 10,000 built 6 author per 10,000 1 dialect per 10,000 alang 6 author per 10,000 1 dialect per 10,000 faur 6 author per 10,000 0 dialect per 10,000 hair 6 author per 10,000 2 dialect per 10,000 hou 6 author per 10,000 3 dialect per 10,000 things 6 author per 10,000 12 dialect per 10,000
Southern
the 591 author per 10,000 463 dialect per 10,000 and 388 author per 10,000 22 dialect per 10,000 o 276 author per 10,000 191 dialect per 10,000 a 250 author per 10,000 239 dialect per 10,000 in 198 author per 10,000 111 dialect per 10,000 tae 177 author per 10,000 206 dialect per 10,000 that 148 author per 10,000 61 dialect per 10,000 aw 142 author per 10,000 33 dialect per 10,000 ye 121 author per 10,000 31 dialect per 10,000 yer 119 author per 10,000 20 dialect per 10,000 or 103 author per 10,000 25 dialect per 10,000 on 93 author per 10,000 50 dialect per 10,000 wi 93 author per 10,000 71 dialect per 10,000 for 85 author per 10,000 15 dialect per 10,000 as 78 author per 10,000 52 dialect per 10,000 like 73 author per 10,000 7 dialect per 10,000 it 68 author per 10,000 60 dialect per 10,000 at 65 author per 10,000 70 dialect per 10,000 but 54 author per 10,000 39 dialect per 10,000 is 51 author per 10,000 60 dialect per 10,000 they 51 author per 10,000 35 dialect per 10,000 wis 47 author per 10,000 57 dialect per 10,000 we 47 author per 10,000 18 dialect per 10,000 no 47 author per 10,000 28 dialect per 10,000 by 46 author per 10,000 7 dialect per 10,000 frae 44 author per 10,000 35 dialect per 10,000 doon 43 author per 10,000 25 dialect per 10,000 up 39 author per 10,000 41 dialect per 10,000 it's 38 author per 10,000 7 dialect per 10,000 thare 37 author per 10,000 1 dialect per 10,000 so 37 author per 10,000 3 dialect per 10,000 whan 37 author per 10,000 26 dialect per 10,000 wee 36 author per 10,000 24 dialect per 10,000 than 36 author per 10,000 9 dialect per 10,000 ma 36 author per 10,000 56 dialect per 10,000 whaur 36 author per 10,000 8 dialect per 10,000 i 35 author per 10,000 62 dialect per 10,000 oot 35 author per 10,000 34 dialect per 10,000 auld 35 author per 10,000 21 dialect per 10,000 oor 34 author per 10,000 12 dialect per 10,000 jist 33 author per 10,000 16 dialect per 10,000 see 31 author per 10,000 6 dialect per 10,000 their 31 author per 10,000 14 dialect per 10,000 be 30 author per 10,000 13 dialect per 10,000 that's 29 author per 10,000 6 dialect per 10,000 are 28 author per 10,000 11 dialect per 10,000 this 28 author per 10,000 32 dialect per 10,000 noo 27 author per 10,000 13 dialect per 10,000 back 27 author per 10,000 19 dialect per 10,000 his 25 author per 10,000 38 dialect per 10,000 he 25 author per 10,000 15 dialect per 10,000 war 23 author per 10,000 4 dialect per 10,000 if 23 author per 10,000 16 dialect per 10,000 her 23 author per 10,000 15 dialect per 10,000 us 23 author per 10,000 7 dialect per 10,000 time 22 author per 10,000 15 dialect per 10,000 aye 22 author per 10,000 11 dialect per 10,000 day 22 author per 10,000 16 dialect per 10,000 an 22 author per 10,000 302 dialect per 10,000 mair 22 author per 10,000 16 dialect per 10,000 here 22 author per 10,000 13 dialect per 10,000 wan 22 author per 10,000 1 dialect per 10,000 aff 21 author per 10,000 6 dialect per 10,000 nae 21 author per 10,000 26 dialect per 10,000 wey 20 author per 10,000 4 dialect per 10,000 yin 20 author per 10,000 23 dialect per 10,000 still 20 author per 10,000 8 dialect per 10,000 mebbe 20 author per 10,000 0 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 8 dialect per 10,000 again 19 author per 10,000 4 dialect per 10,000 ain 19 author per 10,000 10 dialect per 10,000 whit 18 author per 10,000 29 dialect per 10,000 you 18 author per 10,000 3 dialect per 10,000 yon 18 author per 10,000 12 dialect per 10,000 laund 17 author per 10,000 1 dialect per 10,000 thae 17 author per 10,000 2 dialect per 10,000 niver 17 author per 10,000 1 dialect per 10,000 life 17 author per 10,000 7 dialect per 10,000 sae 16 author per 10,000 25 dialect per 10,000 ither 16 author per 10,000 12 dialect per 10,000 weans 16 author per 10,000 1 dialect per 10,000 me 16 author per 10,000 13 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 nicht 15 author per 10,000 7 dialect per 10,000 kin 15 author per 10,000 2 dialect per 10,000 him 15 author per 10,000 13 dialect per 10,000 will 15 author per 10,000 3 dialect per 10,000 mak 15 author per 10,000 7 dialect per 10,000 mynd 14 author per 10,000 10 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 even 14 author per 10,000 6 dialect per 10,000 aboot 13 author per 10,000 28 dialect per 10,000 said 12 author per 10,000 63 dialect per 10,000 not 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 1 dialect per 10,000 thare's 12 author per 10,000 0 dialect per 10,000 say 12 author per 10,000 17 dialect per 10,000 thon 12 author per 10,000 3 dialect per 10,000 heid 12 author per 10,000 15 dialect per 10,000 ower 12 author per 10,000 16 dialect per 10,000 dae 12 author per 10,000 13 dialect per 10,000 cam 12 author per 10,000 5 dialect per 10,000 ye're 12 author per 10,000 2 dialect per 10,000 hame 12 author per 10,000 10 dialect per 10,000 intae 12 author per 10,000 13 dialect per 10,000 young 12 author per 10,000 4 dialect per 10,000 some 12 author per 10,000 12 dialect per 10,000 ken 12 author per 10,000 18 dialect per 10,000 thing 11 author per 10,000 3 dialect per 10,000 twa 11 author per 10,000 3 dialect per 10,000 new 11 author per 10,000 9 dialect per 10,000 weel 11 author per 10,000 5 dialect per 10,000 afore 11 author per 10,000 15 dialect per 10,000 haurd 11 author per 10,000 0 dialect per 10,000 licht 11 author per 10,000 4 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 warld 10 author per 10,000 3 dialect per 10,000 great 10 author per 10,000 3 dialect per 10,000 she 10 author per 10,000 78 dialect per 10,000 real 10 author per 10,000 1 dialect per 10,000 efter 10 author per 10,000 14 dialect per 10,000 abuin 10 author per 10,000 3 dialect per 10,000 man 10 author per 10,000 10 dialect per 10,000 roond 9 author per 10,000 8 dialect per 10,000 thegither 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 gat 9 author per 10,000 1 dialect per 10,000 luve 9 author per 10,000 1 dialect per 10,000 ye'll 9 author per 10,000 2 dialect per 10,000 nor 9 author per 10,000 5 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 made 9 author per 10,000 6 dialect per 10,000 past 9 author per 10,000 2 dialect per 10,000 bit 9 author per 10,000 18 dialect per 10,000 dinna 9 author per 10,000 1 dialect per 10,000 hae 9 author per 10,000 33 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 get 9 author per 10,000 11 dialect per 10,000 while 9 author per 10,000 7 dialect per 10,000 anither 9 author per 10,000 8 dialect per 10,000 end 9 author per 10,000 6 dialect per 10,000 fine 9 author per 10,000 2 dialect per 10,000 green 9 author per 10,000 3 dialect per 10,000 black 9 author per 10,000 2 dialect per 10,000 hoose 8 author per 10,000 20 dialect per 10,000 they're 8 author per 10,000 3 dialect per 10,000 only 8 author per 10,000 7 dialect per 10,000 richt 8 author per 10,000 17 dialect per 10,000 hert 8 author per 10,000 3 dialect per 10,000 haund 8 author per 10,000 4 dialect per 10,000 deid 8 author per 10,000 3 dialect per 10,000 comin 8 author per 10,000 2 dialect per 10,000 fear 8 author per 10,000 1 dialect per 10,000 come 8 author per 10,000 8 dialect per 10,000 watter 8 author per 10,000 4 dialect per 10,000 which 8 author per 10,000 7 dialect per 10,000 its 8 author per 10,000 9 dialect per 10,000 daurk 7 author per 10,000 1 dialect per 10,000 verra 7 author per 10,000 1 dialect per 10,000 awa 7 author per 10,000 14 dialect per 10,000 scots 7 author per 10,000 5 dialect per 10,000 big 7 author per 10,000 7 dialect per 10,000 livin 7 author per 10,000 0 dialect per 10,000 ahint 7 author per 10,000 5 dialect per 10,000 yet 7 author per 10,000 4 dialect per 10,000 close 7 author per 10,000 3 dialect per 10,000 maw 7 author per 10,000 1 dialect per 10,000 cawed 7 author per 10,000 1 dialect per 10,000 cauld 7 author per 10,000 3 dialect per 10,000 hale 7 author per 10,000 2 dialect per 10,000 across 7 author per 10,000 2 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000 haed 7 author per 10,000 1 dialect per 10,000 ony 7 author per 10,000 7 dialect per 10,000 yins 7 author per 10,000 2 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 1 dialect per 10,000 days 7 author per 10,000 7 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 7 dialect per 10,000 naethin 7 author per 10,000 1 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 12 dialect per 10,000 sicht 7 author per 10,000 3 dialect per 10,000 god 6 author per 10,000 0 dialect per 10,000 second 6 author per 10,000 0 dialect per 10,000 bed 6 author per 10,000 1 dialect per 10,000 have 6 author per 10,000 1 dialect per 10,000 bluid 6 author per 10,000 0 dialect per 10,000 deith 6 author per 10,000 0 dialect per 10,000 likely 6 author per 10,000 1 dialect per 10,000 fast 6 author per 10,000 1 dialect per 10,000 tap 6 author per 10,000 2 dialect per 10,000 built 6 author per 10,000 1 dialect per 10,000 alang 6 author per 10,000 4 dialect per 10,000 faur 6 author per 10,000 2 dialect per 10,000 hair 6 author per 10,000 2 dialect per 10,000 hou 6 author per 10,000 4 dialect per 10,000 things 6 author per 10,000 2 dialect per 10,000
Ulster
the 591 author per 10,000 229 dialect per 10,000 and 388 author per 10,000 6 dialect per 10,000 o 276 author per 10,000 220 dialect per 10,000 a 250 author per 10,000 295 dialect per 10,000 in 198 author per 10,000 99 dialect per 10,000 tae 177 author per 10,000 259 dialect per 10,000 that 148 author per 10,000 88 dialect per 10,000 aw 142 author per 10,000 2 dialect per 10,000 ye 121 author per 10,000 94 dialect per 10,000 yer 119 author per 10,000 48 dialect per 10,000 or 103 author per 10,000 43 dialect per 10,000 on 93 author per 10,000 72 dialect per 10,000 wi 93 author per 10,000 69 dialect per 10,000 for 85 author per 10,000 44 dialect per 10,000 as 78 author per 10,000 30 dialect per 10,000 like 73 author per 10,000 9 dialect per 10,000 it 68 author per 10,000 82 dialect per 10,000 at 65 author per 10,000 47 dialect per 10,000 but 54 author per 10,000 53 dialect per 10,000 is 51 author per 10,000 22 dialect per 10,000 they 51 author per 10,000 25 dialect per 10,000 wis 47 author per 10,000 1 dialect per 10,000 we 47 author per 10,000 17 dialect per 10,000 no 47 author per 10,000 27 dialect per 10,000 by 46 author per 10,000 9 dialect per 10,000 frae 44 author per 10,000 38 dialect per 10,000 doon 43 author per 10,000 35 dialect per 10,000 up 39 author per 10,000 38 dialect per 10,000 it's 38 author per 10,000 13 dialect per 10,000 thare 37 author per 10,000 0 dialect per 10,000 so 37 author per 10,000 6 dialect per 10,000 whan 37 author per 10,000 20 dialect per 10,000 wee 36 author per 10,000 27 dialect per 10,000 than 36 author per 10,000 3 dialect per 10,000 ma 36 author per 10,000 28 dialect per 10,000 whaur 36 author per 10,000 2 dialect per 10,000 i 35 author per 10,000 9 dialect per 10,000 oot 35 author per 10,000 58 dialect per 10,000 auld 35 author per 10,000 1 dialect per 10,000 oor 34 author per 10,000 12 dialect per 10,000 jist 33 author per 10,000 12 dialect per 10,000 see 31 author per 10,000 20 dialect per 10,000 their 31 author per 10,000 7 dialect per 10,000 be 30 author per 10,000 45 dialect per 10,000 that's 29 author per 10,000 10 dialect per 10,000 are 28 author per 10,000 3 dialect per 10,000 this 28 author per 10,000 27 dialect per 10,000 noo 27 author per 10,000 28 dialect per 10,000 back 27 author per 10,000 3 dialect per 10,000 his 25 author per 10,000 23 dialect per 10,000 he 25 author per 10,000 85 dialect per 10,000 war 23 author per 10,000 0 dialect per 10,000 if 23 author per 10,000 16 dialect per 10,000 her 23 author per 10,000 8 dialect per 10,000 us 23 author per 10,000 4 dialect per 10,000 time 22 author per 10,000 15 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 day 22 author per 10,000 19 dialect per 10,000 an 22 author per 10,000 392 dialect per 10,000 mair 22 author per 10,000 27 dialect per 10,000 here 22 author per 10,000 13 dialect per 10,000 wan 22 author per 10,000 0 dialect per 10,000 aff 21 author per 10,000 18 dialect per 10,000 nae 21 author per 10,000 26 dialect per 10,000 wey 20 author per 10,000 0 dialect per 10,000 yin 20 author per 10,000 42 dialect per 10,000 still 20 author per 10,000 5 dialect per 10,000 mebbe 20 author per 10,000 2 dialect per 10,000 canto 20 author per 10,000 0 dialect per 10,000 thaim 20 author per 10,000 43 dialect per 10,000 again 19 author per 10,000 2 dialect per 10,000 ain 19 author per 10,000 14 dialect per 10,000 whit 18 author per 10,000 2 dialect per 10,000 you 18 author per 10,000 5 dialect per 10,000 yon 18 author per 10,000 0 dialect per 10,000 laund 17 author per 10,000 0 dialect per 10,000 thae 17 author per 10,000 1 dialect per 10,000 niver 17 author per 10,000 10 dialect per 10,000 life 17 author per 10,000 6 dialect per 10,000 sae 16 author per 10,000 30 dialect per 10,000 ither 16 author per 10,000 17 dialect per 10,000 weans 16 author per 10,000 7 dialect per 10,000 me 16 author per 10,000 27 dialect per 10,000 lang 16 author per 10,000 14 dialect per 10,000 nicht 15 author per 10,000 8 dialect per 10,000 kin 15 author per 10,000 1 dialect per 10,000 him 15 author per 10,000 12 dialect per 10,000 will 15 author per 10,000 1 dialect per 10,000 mak 15 author per 10,000 10 dialect per 10,000 mynd 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 even 14 author per 10,000 4 dialect per 10,000 aboot 13 author per 10,000 32 dialect per 10,000 said 12 author per 10,000 38 dialect per 10,000 not 12 author per 10,000 1 dialect per 10,000 canna 12 author per 10,000 0 dialect per 10,000 thare's 12 author per 10,000 0 dialect per 10,000 say 12 author per 10,000 14 dialect per 10,000 thon 12 author per 10,000 18 dialect per 10,000 heid 12 author per 10,000 14 dialect per 10,000 ower 12 author per 10,000 20 dialect per 10,000 dae 12 author per 10,000 28 dialect per 10,000 cam 12 author per 10,000 0 dialect per 10,000 ye're 12 author per 10,000 0 dialect per 10,000 hame 12 author per 10,000 11 dialect per 10,000 intae 12 author per 10,000 12 dialect per 10,000 young 12 author per 10,000 1 dialect per 10,000 some 12 author per 10,000 8 dialect per 10,000 ken 12 author per 10,000 3 dialect per 10,000 thing 11 author per 10,000 8 dialect per 10,000 twa 11 author per 10,000 13 dialect per 10,000 new 11 author per 10,000 5 dialect per 10,000 weel 11 author per 10,000 17 dialect per 10,000 afore 11 author per 10,000 14 dialect per 10,000 haurd 11 author per 10,000 0 dialect per 10,000 licht 11 author per 10,000 6 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 warld 10 author per 10,000 0 dialect per 10,000 great 10 author per 10,000 1 dialect per 10,000 she 10 author per 10,000 17 dialect per 10,000 real 10 author per 10,000 1 dialect per 10,000 efter 10 author per 10,000 6 dialect per 10,000 abuin 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 23 dialect per 10,000 roond 9 author per 10,000 1 dialect per 10,000 thegither 9 author per 10,000 4 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 gat 9 author per 10,000 0 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 ye'll 9 author per 10,000 6 dialect per 10,000 nor 9 author per 10,000 10 dialect per 10,000 nane 9 author per 10,000 3 dialect per 10,000 made 9 author per 10,000 7 dialect per 10,000 past 9 author per 10,000 1 dialect per 10,000 bit 9 author per 10,000 8 dialect per 10,000 dinna 9 author per 10,000 0 dialect per 10,000 hae 9 author per 10,000 61 dialect per 10,000 first 9 author per 10,000 1 dialect per 10,000 get 9 author per 10,000 8 dialect per 10,000 while 9 author per 10,000 6 dialect per 10,000 anither 9 author per 10,000 10 dialect per 10,000 end 9 author per 10,000 0 dialect per 10,000 fine 9 author per 10,000 1 dialect per 10,000 green 9 author per 10,000 1 dialect per 10,000 black 9 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 17 dialect per 10,000 they're 8 author per 10,000 1 dialect per 10,000 only 8 author per 10,000 4 dialect per 10,000 richt 8 author per 10,000 17 dialect per 10,000 hert 8 author per 10,000 0 dialect per 10,000 haund 8 author per 10,000 0 dialect per 10,000 deid 8 author per 10,000 5 dialect per 10,000 comin 8 author per 10,000 2 dialect per 10,000 fear 8 author per 10,000 2 dialect per 10,000 come 8 author per 10,000 10 dialect per 10,000 watter 8 author per 10,000 4 dialect per 10,000 which 8 author per 10,000 0 dialect per 10,000 its 8 author per 10,000 9 dialect per 10,000 daurk 7 author per 10,000 0 dialect per 10,000 verra 7 author per 10,000 0 dialect per 10,000 awa 7 author per 10,000 20 dialect per 10,000 scots 7 author per 10,000 2 dialect per 10,000 big 7 author per 10,000 9 dialect per 10,000 livin 7 author per 10,000 0 dialect per 10,000 ahint 7 author per 10,000 2 dialect per 10,000 yet 7 author per 10,000 1 dialect per 10,000 close 7 author per 10,000 1 dialect per 10,000 maw 7 author per 10,000 0 dialect per 10,000 cawed 7 author per 10,000 0 dialect per 10,000 cauld 7 author per 10,000 0 dialect per 10,000 hale 7 author per 10,000 10 dialect per 10,000 across 7 author per 10,000 1 dialect per 10,000 lost 7 author per 10,000 0 dialect per 10,000 haed 7 author per 10,000 16 dialect per 10,000 ony 7 author per 10,000 2 dialect per 10,000 yins 7 author per 10,000 10 dialect per 10,000 shaidaes 7 author per 10,000 0 dialect per 10,000 yersel 7 author per 10,000 5 dialect per 10,000 days 7 author per 10,000 6 dialect per 10,000 gray 7 author per 10,000 0 dialect per 10,000 micht 7 author per 10,000 6 dialect per 10,000 naethin 7 author per 10,000 8 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 2 dialect per 10,000 sicht 7 author per 10,000 4 dialect per 10,000 god 6 author per 10,000 16 dialect per 10,000 second 6 author per 10,000 0 dialect per 10,000 bed 6 author per 10,000 2 dialect per 10,000 have 6 author per 10,000 0 dialect per 10,000 bluid 6 author per 10,000 1 dialect per 10,000 deith 6 author per 10,000 1 dialect per 10,000 likely 6 author per 10,000 0 dialect per 10,000 fast 6 author per 10,000 1 dialect per 10,000 tap 6 author per 10,000 3 dialect per 10,000 built 6 author per 10,000 0 dialect per 10,000 alang 6 author per 10,000 5 dialect per 10,000 faur 6 author per 10,000 1 dialect per 10,000 hair 6 author per 10,000 2 dialect per 10,000 hou 6 author per 10,000 0 dialect per 10,000 things 6 author per 10,000 4 dialect per 10,000