A Corpus of 21st Century Scots Texts

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Townsley, Jane


Total words by this author in corpus - 15,318
Total unique words used by this author in corpus - 2,684
Ratio of total words to unique words - 5.707
Top ten most common words - the, an, a, tae, it, wis, i, he, ye, in,

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 608 author per 10,000 548 dialect per 10,000 an 315 author per 10,000 205 dialect per 10,000 a 238 author per 10,000 261 dialect per 10,000 tae 231 author per 10,000 221 dialect per 10,000 it 195 author per 10,000 123 dialect per 10,000 wis 189 author per 10,000 103 dialect per 10,000 i 167 author per 10,000 36 dialect per 10,000 he 131 author per 10,000 93 dialect per 10,000 ye 120 author per 10,000 57 dialect per 10,000 in 116 author per 10,000 147 dialect per 10,000 she 110 author per 10,000 62 dialect per 10,000 that 97 author per 10,000 114 dialect per 10,000 her 91 author per 10,000 48 dialect per 10,000 o 89 author per 10,000 185 dialect per 10,000 wee 69 author per 10,000 27 dialect per 10,000 his 65 author per 10,000 53 dialect per 10,000 but 64 author per 10,000 47 dialect per 10,000 fer 60 author per 10,000 5 dialect per 10,000 at 58 author per 10,000 58 dialect per 10,000 oot 57 author per 10,000 41 dialect per 10,000 no 55 author per 10,000 35 dialect per 10,000 had 55 author per 10,000 25 dialect per 10,000 on 54 author per 10,000 55 dialect per 10,000 me 51 author per 10,000 41 dialect per 10,000 wi 50 author per 10,000 62 dialect per 10,000 they 50 author per 10,000 44 dialect per 10,000 up 48 author per 10,000 41 dialect per 10,000 said 47 author per 10,000 49 dialect per 10,000 if 46 author per 10,000 18 dialect per 10,000 jist 44 author per 10,000 24 dialect per 10,000 as 44 author per 10,000 60 dialect per 10,000 him 43 author per 10,000 30 dialect per 10,000 be 43 author per 10,000 50 dialect per 10,000 aa 41 author per 10,000 8 dialect per 10,000 there 40 author per 10,000 27 dialect per 10,000 ma 39 author per 10,000 52 dialect per 10,000 whit 38 author per 10,000 29 dialect per 10,000 wid 37 author per 10,000 9 dialect per 10,000 like 34 author per 10,000 28 dialect per 10,000 were 34 author per 10,000 17 dialect per 10,000 this 33 author per 10,000 42 dialect per 10,000 so 33 author per 10,000 10 dialect per 10,000 when 32 author per 10,000 19 dialect per 10,000 get 31 author per 10,000 17 dialect per 10,000 aye 30 author per 10,000 15 dialect per 10,000 ower 30 author per 10,000 18 dialect per 10,000 back 30 author per 10,000 21 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 7 dialect per 10,000 nae 30 author per 10,000 19 dialect per 10,000 it's 28 author per 10,000 17 dialect per 10,000 is 27 author per 10,000 59 dialect per 10,000 we 27 author per 10,000 34 dialect per 10,000 noo 27 author per 10,000 13 dialect per 10,000 intae 26 author per 10,000 19 dialect per 10,000 see 25 author per 10,000 16 dialect per 10,000 aboot 25 author per 10,000 31 dialect per 10,000 hae 25 author per 10,000 21 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 12 dialect per 10,000 doon 25 author per 10,000 18 dialect per 10,000 dae 25 author per 10,000 18 dialect per 10,000 then 24 author per 10,000 16 dialect per 10,000 didnae 24 author per 10,000 7 dialect per 10,000 wisna 24 author per 10,000 3 dialect per 10,000 them 24 author per 10,000 19 dialect per 10,000 could 23 author per 10,000 10 dialect per 10,000 gaun 22 author per 10,000 8 dialect per 10,000 weel 22 author per 10,000 8 dialect per 10,000 i'm 22 author per 10,000 3 dialect per 10,000 jessie 22 author per 10,000 0 dialect per 10,000 prince 21 author per 10,000 2 dialect per 10,000 yin 21 author per 10,000 9 dialect per 10,000 - 20 author per 10,000 24 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 0 dialect per 10,000 thocht 20 author per 10,000 8 dialect per 10,000 look 20 author per 10,000 6 dialect per 10,000 that's 20 author per 10,000 9 dialect per 10,000 yer 20 author per 10,000 17 dialect per 10,000 afore 20 author per 10,000 9 dialect per 10,000 frae 19 author per 10,000 13 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 6 dialect per 10,000 hiv 18 author per 10,000 2 dialect per 10,000 or 18 author per 10,000 28 dialect per 10,000 roond 18 author per 10,000 4 dialect per 10,000 next 18 author per 10,000 3 dialect per 10,000 went 18 author per 10,000 7 dialect per 10,000 go 18 author per 10,000 7 dialect per 10,000 ken 18 author per 10,000 14 dialect per 10,000 door 18 author per 10,000 6 dialect per 10,000 can 17 author per 10,000 15 dialect per 10,000 ony 17 author per 10,000 6 dialect per 10,000 awa 17 author per 10,000 10 dialect per 10,000 davie 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 10 dialect per 10,000 did 17 author per 10,000 9 dialect per 10,000 twa 16 author per 10,000 9 dialect per 10,000 aff 16 author per 10,000 14 dialect per 10,000 come 16 author per 10,000 9 dialect per 10,000 canna 16 author per 10,000 3 dialect per 10,000 you 16 author per 10,000 17 dialect per 10,000 to 16 author per 10,000 8 dialect per 10,000 couldna 16 author per 10,000 1 dialect per 10,000 i'll 15 author per 10,000 1 dialect per 10,000 eftir 15 author per 10,000 3 dialect per 10,000 awfy 14 author per 10,000 1 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 left 14 author per 10,000 5 dialect per 10,000 richt 14 author per 10,000 13 dialect per 10,000 bag 14 author per 10,000 1 dialect per 10,000 mair 14 author per 10,000 19 dialect per 10,000 by 14 author per 10,000 17 dialect per 10,000 think 14 author per 10,000 10 dialect per 10,000 oan 14 author per 10,000 18 dialect per 10,000 tell 14 author per 10,000 8 dialect per 10,000 och 14 author per 10,000 1 dialect per 10,000 wye 14 author per 10,000 0 dialect per 10,000 telt 13 author per 10,000 5 dialect per 10,000 man 13 author per 10,000 10 dialect per 10,000 angel 13 author per 10,000 0 dialect per 10,000 enough 12 author per 10,000 3 dialect per 10,000 hame 12 author per 10,000 5 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 2 dialect per 10,000 heid 12 author per 10,000 10 dialect per 10,000 lizzie 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 8 dialect per 10,000 some 12 author per 10,000 14 dialect per 10,000 mebbe 12 author per 10,000 2 dialect per 10,000 naw 12 author per 10,000 3 dialect per 10,000 its 12 author per 10,000 10 dialect per 10,000 better 12 author per 10,000 5 dialect per 10,000 cause 12 author per 10,000 7 dialect per 10,000 are 12 author per 10,000 17 dialect per 10,000 thing 12 author per 10,000 7 dialect per 10,000 how 12 author per 10,000 7 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 nicht 12 author per 10,000 5 dialect per 10,000 kent 12 author per 10,000 5 dialect per 10,000 ' 12 author per 10,000 65 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 she's 11 author per 10,000 5 dialect per 10,000 much 11 author per 10,000 3 dialect per 10,000 bit 11 author per 10,000 15 dialect per 10,000 let 11 author per 10,000 4 dialect per 10,000 though 11 author per 10,000 5 dialect per 10,000 ye're 11 author per 10,000 3 dialect per 10,000 tam 11 author per 10,000 2 dialect per 10,000 sae 10 author per 10,000 15 dialect per 10,000 she'd 10 author per 10,000 2 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 polis 10 author per 10,000 1 dialect per 10,000 us 10 author per 10,000 15 dialect per 10,000 betsy 10 author per 10,000 0 dialect per 10,000 been 10 author per 10,000 20 dialect per 10,000 here 10 author per 10,000 12 dialect per 10,000 road 10 author per 10,000 3 dialect per 10,000 he'd 10 author per 10,000 3 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 1 dialect per 10,000 bairn 10 author per 10,000 2 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 7 dialect per 10,000 lang 9 author per 10,000 9 dialect per 10,000 deid 9 author per 10,000 3 dialect per 10,000 day 9 author per 10,000 13 dialect per 10,000 mornin 9 author per 10,000 3 dialect per 10,000 annie 9 author per 10,000 0 dialect per 10,000 gettin 9 author per 10,000 5 dialect per 10,000 face 9 author per 10,000 5 dialect per 10,000 too 9 author per 10,000 3 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 somethin 8 author per 10,000 5 dialect per 10,000 must 8 author per 10,000 2 dialect per 10,000 mither 8 author per 10,000 4 dialect per 10,000 wife 8 author per 10,000 1 dialect per 10,000 taen 8 author per 10,000 3 dialect per 10,000 ane 8 author per 10,000 9 dialect per 10,000 sure 8 author per 10,000 2 dialect per 10,000 put 8 author per 10,000 2 dialect per 10,000 ye've 8 author per 10,000 1 dialect per 10,000 kept 8 author per 10,000 2 dialect per 10,000 tak 8 author per 10,000 7 dialect per 10,000 magic 8 author per 10,000 1 dialect per 10,000 want 8 author per 10,000 7 dialect per 10,000 hoose 8 author per 10,000 7 dialect per 10,000 auld 8 author per 10,000 13 dialect per 10,000 whaur 8 author per 10,000 8 dialect per 10,000 i've 8 author per 10,000 1 dialect per 10,000 done 8 author per 10,000 3 dialect per 10,000 april 8 author per 10,000 0 dialect per 10,000 billy 8 author per 10,000 0 dialect per 10,000 bairns 8 author per 10,000 5 dialect per 10,000 last 8 author per 10,000 6 dialect per 10,000 widnae 8 author per 10,000 2 dialect per 10,000 till 8 author per 10,000 3 dialect per 10,000
Doric
the 608 author per 10,000 525 dialect per 10,000 an 315 author per 10,000 318 dialect per 10,000 a 238 author per 10,000 288 dialect per 10,000 tae 231 author per 10,000 170 dialect per 10,000 it 195 author per 10,000 109 dialect per 10,000 wis 189 author per 10,000 114 dialect per 10,000 i 167 author per 10,000 51 dialect per 10,000 he 131 author per 10,000 104 dialect per 10,000 ye 120 author per 10,000 80 dialect per 10,000 in 116 author per 10,000 134 dialect per 10,000 she 110 author per 10,000 63 dialect per 10,000 that 97 author per 10,000 57 dialect per 10,000 her 91 author per 10,000 71 dialect per 10,000 o 89 author per 10,000 197 dialect per 10,000 wee 69 author per 10,000 19 dialect per 10,000 his 65 author per 10,000 77 dialect per 10,000 but 64 author per 10,000 14 dialect per 10,000 fer 60 author per 10,000 6 dialect per 10,000 at 58 author per 10,000 59 dialect per 10,000 oot 57 author per 10,000 53 dialect per 10,000 no 55 author per 10,000 5 dialect per 10,000 had 55 author per 10,000 2 dialect per 10,000 on 54 author per 10,000 62 dialect per 10,000 me 51 author per 10,000 21 dialect per 10,000 wi 50 author per 10,000 88 dialect per 10,000 they 50 author per 10,000 39 dialect per 10,000 up 48 author per 10,000 49 dialect per 10,000 said 47 author per 10,000 36 dialect per 10,000 if 46 author per 10,000 16 dialect per 10,000 jist 44 author per 10,000 37 dialect per 10,000 as 44 author per 10,000 54 dialect per 10,000 him 43 author per 10,000 36 dialect per 10,000 be 43 author per 10,000 42 dialect per 10,000 aa 41 author per 10,000 39 dialect per 10,000 there 40 author per 10,000 22 dialect per 10,000 ma 39 author per 10,000 47 dialect per 10,000 whit 38 author per 10,000 3 dialect per 10,000 wid 37 author per 10,000 18 dialect per 10,000 like 34 author per 10,000 42 dialect per 10,000 were 34 author per 10,000 13 dialect per 10,000 this 33 author per 10,000 21 dialect per 10,000 so 33 author per 10,000 12 dialect per 10,000 when 32 author per 10,000 2 dialect per 10,000 get 31 author per 10,000 14 dialect per 10,000 aye 30 author per 10,000 15 dialect per 10,000 ower 30 author per 10,000 28 dialect per 10,000 back 30 author per 10,000 23 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 5 dialect per 10,000 nae 30 author per 10,000 50 dialect per 10,000 it's 28 author per 10,000 20 dialect per 10,000 is 27 author per 10,000 45 dialect per 10,000 we 27 author per 10,000 20 dialect per 10,000 noo 27 author per 10,000 21 dialect per 10,000 intae 26 author per 10,000 12 dialect per 10,000 see 25 author per 10,000 21 dialect per 10,000 aboot 25 author per 10,000 37 dialect per 10,000 hae 25 author per 10,000 18 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 11 dialect per 10,000 doon 25 author per 10,000 34 dialect per 10,000 dae 25 author per 10,000 4 dialect per 10,000 then 24 author per 10,000 9 dialect per 10,000 didnae 24 author per 10,000 2 dialect per 10,000 wisna 24 author per 10,000 6 dialect per 10,000 them 24 author per 10,000 30 dialect per 10,000 could 23 author per 10,000 7 dialect per 10,000 gaun 22 author per 10,000 7 dialect per 10,000 weel 22 author per 10,000 16 dialect per 10,000 i'm 22 author per 10,000 3 dialect per 10,000 jessie 22 author per 10,000 4 dialect per 10,000 prince 21 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 1 dialect per 10,000 - 20 author per 10,000 29 dialect per 10,000 time 20 author per 10,000 20 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 0 dialect per 10,000 thocht 20 author per 10,000 14 dialect per 10,000 look 20 author per 10,000 7 dialect per 10,000 that's 20 author per 10,000 1 dialect per 10,000 yer 20 author per 10,000 31 dialect per 10,000 afore 20 author per 10,000 14 dialect per 10,000 frae 19 author per 10,000 13 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 1 dialect per 10,000 hiv 18 author per 10,000 11 dialect per 10,000 or 18 author per 10,000 23 dialect per 10,000 roond 18 author per 10,000 0 dialect per 10,000 next 18 author per 10,000 2 dialect per 10,000 went 18 author per 10,000 4 dialect per 10,000 go 18 author per 10,000 3 dialect per 10,000 ken 18 author per 10,000 17 dialect per 10,000 door 18 author per 10,000 9 dialect per 10,000 can 17 author per 10,000 12 dialect per 10,000 ony 17 author per 10,000 9 dialect per 10,000 awa 17 author per 10,000 22 dialect per 10,000 davie 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 7 dialect per 10,000 did 17 author per 10,000 9 dialect per 10,000 twa 16 author per 10,000 20 dialect per 10,000 aff 16 author per 10,000 15 dialect per 10,000 come 16 author per 10,000 12 dialect per 10,000 canna 16 author per 10,000 6 dialect per 10,000 you 16 author per 10,000 21 dialect per 10,000 to 16 author per 10,000 9 dialect per 10,000 couldna 16 author per 10,000 2 dialect per 10,000 i'll 15 author per 10,000 3 dialect per 10,000 eftir 15 author per 10,000 0 dialect per 10,000 awfy 14 author per 10,000 0 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 left 14 author per 10,000 6 dialect per 10,000 richt 14 author per 10,000 17 dialect per 10,000 bag 14 author per 10,000 2 dialect per 10,000 mair 14 author per 10,000 19 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 think 14 author per 10,000 11 dialect per 10,000 oan 14 author per 10,000 13 dialect per 10,000 tell 14 author per 10,000 8 dialect per 10,000 och 14 author per 10,000 2 dialect per 10,000 wye 14 author per 10,000 13 dialect per 10,000 telt 13 author per 10,000 8 dialect per 10,000 man 13 author per 10,000 6 dialect per 10,000 angel 13 author per 10,000 1 dialect per 10,000 enough 12 author per 10,000 1 dialect per 10,000 hame 12 author per 10,000 11 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 8 dialect per 10,000 heid 12 author per 10,000 11 dialect per 10,000 lizzie 12 author per 10,000 1 dialect per 10,000 again 12 author per 10,000 9 dialect per 10,000 some 12 author per 10,000 13 dialect per 10,000 mebbe 12 author per 10,000 6 dialect per 10,000 naw 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 better 12 author per 10,000 7 dialect per 10,000 cause 12 author per 10,000 5 dialect per 10,000 are 12 author per 10,000 14 dialect per 10,000 thing 12 author per 10,000 6 dialect per 10,000 how 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 nicht 12 author per 10,000 12 dialect per 10,000 kent 12 author per 10,000 9 dialect per 10,000 ' 12 author per 10,000 12 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 she's 11 author per 10,000 3 dialect per 10,000 much 11 author per 10,000 3 dialect per 10,000 bit 11 author per 10,000 49 dialect per 10,000 let 11 author per 10,000 4 dialect per 10,000 though 11 author per 10,000 3 dialect per 10,000 ye're 11 author per 10,000 5 dialect per 10,000 tam 11 author per 10,000 1 dialect per 10,000 sae 10 author per 10,000 15 dialect per 10,000 she'd 10 author per 10,000 5 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 polis 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 6 dialect per 10,000 betsy 10 author per 10,000 1 dialect per 10,000 been 10 author per 10,000 12 dialect per 10,000 here 10 author per 10,000 9 dialect per 10,000 road 10 author per 10,000 5 dialect per 10,000 he'd 10 author per 10,000 6 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 0 dialect per 10,000 bairn 10 author per 10,000 3 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 2 dialect per 10,000 lang 9 author per 10,000 12 dialect per 10,000 deid 9 author per 10,000 2 dialect per 10,000 day 9 author per 10,000 32 dialect per 10,000 mornin 9 author per 10,000 8 dialect per 10,000 annie 9 author per 10,000 0 dialect per 10,000 gettin 9 author per 10,000 4 dialect per 10,000 face 9 author per 10,000 8 dialect per 10,000 too 9 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 8 dialect per 10,000 somethin 8 author per 10,000 3 dialect per 10,000 must 8 author per 10,000 1 dialect per 10,000 mither 8 author per 10,000 8 dialect per 10,000 wife 8 author per 10,000 3 dialect per 10,000 taen 8 author per 10,000 1 dialect per 10,000 ane 8 author per 10,000 6 dialect per 10,000 sure 8 author per 10,000 4 dialect per 10,000 put 8 author per 10,000 2 dialect per 10,000 ye've 8 author per 10,000 3 dialect per 10,000 kept 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 9 dialect per 10,000 magic 8 author per 10,000 1 dialect per 10,000 want 8 author per 10,000 1 dialect per 10,000 hoose 8 author per 10,000 12 dialect per 10,000 auld 8 author per 10,000 9 dialect per 10,000 whaur 8 author per 10,000 0 dialect per 10,000 i've 8 author per 10,000 1 dialect per 10,000 done 8 author per 10,000 1 dialect per 10,000 april 8 author per 10,000 1 dialect per 10,000 billy 8 author per 10,000 1 dialect per 10,000 bairns 8 author per 10,000 4 dialect per 10,000 last 8 author per 10,000 5 dialect per 10,000 widnae 8 author per 10,000 1 dialect per 10,000 till 8 author per 10,000 19 dialect per 10,000
Shetland
the 608 author per 10,000 26 dialect per 10,000 an 315 author per 10,000 342 dialect per 10,000 a 238 author per 10,000 267 dialect per 10,000 tae 231 author per 10,000 58 dialect per 10,000 it 195 author per 10,000 69 dialect per 10,000 wis 189 author per 10,000 182 dialect per 10,000 i 167 author per 10,000 162 dialect per 10,000 he 131 author per 10,000 129 dialect per 10,000 ye 120 author per 10,000 0 dialect per 10,000 in 116 author per 10,000 95 dialect per 10,000 she 110 author per 10,000 5 dialect per 10,000 that 97 author per 10,000 5 dialect per 10,000 her 91 author per 10,000 72 dialect per 10,000 o 89 author per 10,000 146 dialect per 10,000 wee 69 author per 10,000 0 dialect per 10,000 his 65 author per 10,000 61 dialect per 10,000 but 64 author per 10,000 29 dialect per 10,000 fer 60 author per 10,000 0 dialect per 10,000 at 58 author per 10,000 116 dialect per 10,000 oot 57 author per 10,000 46 dialect per 10,000 no 55 author per 10,000 38 dialect per 10,000 had 55 author per 10,000 4 dialect per 10,000 on 54 author per 10,000 53 dialect per 10,000 me 51 author per 10,000 49 dialect per 10,000 wi 50 author per 10,000 94 dialect per 10,000 they 50 author per 10,000 2 dialect per 10,000 up 48 author per 10,000 46 dialect per 10,000 said 47 author per 10,000 79 dialect per 10,000 if 46 author per 10,000 29 dialect per 10,000 jist 44 author per 10,000 0 dialect per 10,000 as 44 author per 10,000 78 dialect per 10,000 him 43 author per 10,000 59 dialect per 10,000 be 43 author per 10,000 55 dialect per 10,000 aa 41 author per 10,000 53 dialect per 10,000 there 40 author per 10,000 2 dialect per 10,000 ma 39 author per 10,000 0 dialect per 10,000 whit 38 author per 10,000 41 dialect per 10,000 wid 37 author per 10,000 44 dialect per 10,000 like 34 author per 10,000 3 dialect per 10,000 were 34 author per 10,000 3 dialect per 10,000 this 33 author per 10,000 3 dialect per 10,000 so 33 author per 10,000 30 dialect per 10,000 when 32 author per 10,000 4 dialect per 10,000 get 31 author per 10,000 9 dialect per 10,000 aye 30 author per 10,000 14 dialect per 10,000 ower 30 author per 10,000 28 dialect per 10,000 back 30 author per 10,000 20 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 3 dialect per 10,000 nae 30 author per 10,000 26 dialect per 10,000 it's 28 author per 10,000 8 dialect per 10,000 is 27 author per 10,000 58 dialect per 10,000 we 27 author per 10,000 39 dialect per 10,000 noo 27 author per 10,000 20 dialect per 10,000 intae 26 author per 10,000 7 dialect per 10,000 see 25 author per 10,000 22 dialect per 10,000 aboot 25 author per 10,000 42 dialect per 10,000 hae 25 author per 10,000 24 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 8 dialect per 10,000 doon 25 author per 10,000 25 dialect per 10,000 dae 25 author per 10,000 1 dialect per 10,000 then 24 author per 10,000 1 dialect per 10,000 didnae 24 author per 10,000 0 dialect per 10,000 wisna 24 author per 10,000 11 dialect per 10,000 them 24 author per 10,000 1 dialect per 10,000 could 23 author per 10,000 12 dialect per 10,000 gaun 22 author per 10,000 0 dialect per 10,000 weel 22 author per 10,000 20 dialect per 10,000 i'm 22 author per 10,000 2 dialect per 10,000 jessie 22 author per 10,000 2 dialect per 10,000 prince 21 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 0 dialect per 10,000 - 20 author per 10,000 52 dialect per 10,000 time 20 author per 10,000 23 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 1 dialect per 10,000 thocht 20 author per 10,000 0 dialect per 10,000 look 20 author per 10,000 7 dialect per 10,000 that's 20 author per 10,000 0 dialect per 10,000 yer 20 author per 10,000 0 dialect per 10,000 afore 20 author per 10,000 15 dialect per 10,000 frae 19 author per 10,000 0 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 0 dialect per 10,000 hiv 18 author per 10,000 0 dialect per 10,000 or 18 author per 10,000 24 dialect per 10,000 roond 18 author per 10,000 2 dialect per 10,000 next 18 author per 10,000 1 dialect per 10,000 went 18 author per 10,000 0 dialect per 10,000 go 18 author per 10,000 3 dialect per 10,000 ken 18 author per 10,000 17 dialect per 10,000 door 18 author per 10,000 9 dialect per 10,000 can 17 author per 10,000 18 dialect per 10,000 ony 17 author per 10,000 13 dialect per 10,000 awa 17 author per 10,000 14 dialect per 10,000 davie 17 author per 10,000 0 dialect per 10,000 even 17 author per 10,000 9 dialect per 10,000 did 17 author per 10,000 10 dialect per 10,000 twa 16 author per 10,000 10 dialect per 10,000 aff 16 author per 10,000 21 dialect per 10,000 come 16 author per 10,000 22 dialect per 10,000 canna 16 author per 10,000 9 dialect per 10,000 you 16 author per 10,000 59 dialect per 10,000 to 16 author per 10,000 14 dialect per 10,000 couldna 16 author per 10,000 5 dialect per 10,000 i'll 15 author per 10,000 0 dialect per 10,000 eftir 15 author per 10,000 5 dialect per 10,000 awfy 14 author per 10,000 0 dialect per 10,000 lassie 14 author per 10,000 0 dialect per 10,000 left 14 author per 10,000 6 dialect per 10,000 richt 14 author per 10,000 15 dialect per 10,000 bag 14 author per 10,000 1 dialect per 10,000 mair 14 author per 10,000 17 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 think 14 author per 10,000 1 dialect per 10,000 oan 14 author per 10,000 0 dialect per 10,000 tell 14 author per 10,000 9 dialect per 10,000 och 14 author per 10,000 0 dialect per 10,000 wye 14 author per 10,000 22 dialect per 10,000 telt 13 author per 10,000 8 dialect per 10,000 man 13 author per 10,000 20 dialect per 10,000 angel 13 author per 10,000 0 dialect per 10,000 enough 12 author per 10,000 0 dialect per 10,000 hame 12 author per 10,000 9 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 8 dialect per 10,000 heid 12 author per 10,000 2 dialect per 10,000 lizzie 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 7 dialect per 10,000 some 12 author per 10,000 14 dialect per 10,000 mebbe 12 author per 10,000 0 dialect per 10,000 naw 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 3 dialect per 10,000 better 12 author per 10,000 8 dialect per 10,000 cause 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 2 dialect per 10,000 thing 12 author per 10,000 8 dialect per 10,000 how 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 nicht 12 author per 10,000 2 dialect per 10,000 kent 12 author per 10,000 11 dialect per 10,000 ' 12 author per 10,000 26 dialect per 10,000 gie 12 author per 10,000 11 dialect per 10,000 she's 11 author per 10,000 0 dialect per 10,000 much 11 author per 10,000 2 dialect per 10,000 bit 11 author per 10,000 43 dialect per 10,000 let 11 author per 10,000 1 dialect per 10,000 though 11 author per 10,000 2 dialect per 10,000 ye're 11 author per 10,000 0 dialect per 10,000 tam 11 author per 10,000 0 dialect per 10,000 sae 10 author per 10,000 8 dialect per 10,000 she'd 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 13 dialect per 10,000 polis 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 0 dialect per 10,000 betsy 10 author per 10,000 0 dialect per 10,000 been 10 author per 10,000 19 dialect per 10,000 here 10 author per 10,000 13 dialect per 10,000 road 10 author per 10,000 0 dialect per 10,000 he'd 10 author per 10,000 1 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 3 dialect per 10,000 bairn 10 author per 10,000 7 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 0 dialect per 10,000 lang 9 author per 10,000 11 dialect per 10,000 deid 9 author per 10,000 2 dialect per 10,000 day 9 author per 10,000 21 dialect per 10,000 mornin 9 author per 10,000 0 dialect per 10,000 annie 9 author per 10,000 0 dialect per 10,000 gettin 9 author per 10,000 2 dialect per 10,000 face 9 author per 10,000 7 dialect per 10,000 too 9 author per 10,000 4 dialect per 10,000 first 9 author per 10,000 12 dialect per 10,000 somethin 8 author per 10,000 5 dialect per 10,000 must 8 author per 10,000 0 dialect per 10,000 mither 8 author per 10,000 0 dialect per 10,000 wife 8 author per 10,000 5 dialect per 10,000 taen 8 author per 10,000 5 dialect per 10,000 ane 8 author per 10,000 6 dialect per 10,000 sure 8 author per 10,000 5 dialect per 10,000 put 8 author per 10,000 1 dialect per 10,000 ye've 8 author per 10,000 0 dialect per 10,000 kept 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 14 dialect per 10,000 magic 8 author per 10,000 1 dialect per 10,000 want 8 author per 10,000 6 dialect per 10,000 hoose 8 author per 10,000 10 dialect per 10,000 auld 8 author per 10,000 1 dialect per 10,000 whaur 8 author per 10,000 0 dialect per 10,000 i've 8 author per 10,000 0 dialect per 10,000 done 8 author per 10,000 1 dialect per 10,000 april 8 author per 10,000 0 dialect per 10,000 billy 8 author per 10,000 0 dialect per 10,000 bairns 8 author per 10,000 9 dialect per 10,000 last 8 author per 10,000 6 dialect per 10,000 widnae 8 author per 10,000 0 dialect per 10,000 till 8 author per 10,000 9 dialect per 10,000
Orkney
the 608 author per 10,000 554 dialect per 10,000 an 315 author per 10,000 168 dialect per 10,000 a 238 author per 10,000 295 dialect per 10,000 tae 231 author per 10,000 224 dialect per 10,000 it 195 author per 10,000 25 dialect per 10,000 wis 189 author per 10,000 89 dialect per 10,000 i 167 author per 10,000 145 dialect per 10,000 he 131 author per 10,000 102 dialect per 10,000 ye 120 author per 10,000 15 dialect per 10,000 in 116 author per 10,000 141 dialect per 10,000 she 110 author per 10,000 7 dialect per 10,000 that 97 author per 10,000 84 dialect per 10,000 her 91 author per 10,000 58 dialect per 10,000 o 89 author per 10,000 194 dialect per 10,000 wee 69 author per 10,000 1 dialect per 10,000 his 65 author per 10,000 68 dialect per 10,000 but 64 author per 10,000 35 dialect per 10,000 fer 60 author per 10,000 15 dialect per 10,000 at 58 author per 10,000 56 dialect per 10,000 oot 57 author per 10,000 50 dialect per 10,000 no 55 author per 10,000 58 dialect per 10,000 had 55 author per 10,000 3 dialect per 10,000 on 54 author per 10,000 76 dialect per 10,000 me 51 author per 10,000 102 dialect per 10,000 wi 50 author per 10,000 60 dialect per 10,000 they 50 author per 10,000 35 dialect per 10,000 up 48 author per 10,000 26 dialect per 10,000 said 47 author per 10,000 18 dialect per 10,000 if 46 author per 10,000 15 dialect per 10,000 jist 44 author per 10,000 1 dialect per 10,000 as 44 author per 10,000 54 dialect per 10,000 him 43 author per 10,000 24 dialect per 10,000 be 43 author per 10,000 44 dialect per 10,000 aa 41 author per 10,000 10 dialect per 10,000 there 40 author per 10,000 20 dialect per 10,000 ma 39 author per 10,000 1 dialect per 10,000 whit 38 author per 10,000 32 dialect per 10,000 wid 37 author per 10,000 21 dialect per 10,000 like 34 author per 10,000 27 dialect per 10,000 were 34 author per 10,000 8 dialect per 10,000 this 33 author per 10,000 39 dialect per 10,000 so 33 author per 10,000 30 dialect per 10,000 when 32 author per 10,000 25 dialect per 10,000 get 31 author per 10,000 11 dialect per 10,000 aye 30 author per 10,000 10 dialect per 10,000 ower 30 author per 10,000 19 dialect per 10,000 back 30 author per 10,000 25 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 8 dialect per 10,000 nae 30 author per 10,000 3 dialect per 10,000 it's 28 author per 10,000 3 dialect per 10,000 is 27 author per 10,000 74 dialect per 10,000 we 27 author per 10,000 35 dialect per 10,000 noo 27 author per 10,000 26 dialect per 10,000 intae 26 author per 10,000 17 dialect per 10,000 see 25 author per 10,000 15 dialect per 10,000 aboot 25 author per 10,000 28 dialect per 10,000 hae 25 author per 10,000 13 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 13 dialect per 10,000 doon 25 author per 10,000 25 dialect per 10,000 dae 25 author per 10,000 8 dialect per 10,000 then 24 author per 10,000 18 dialect per 10,000 didnae 24 author per 10,000 0 dialect per 10,000 wisna 24 author per 10,000 4 dialect per 10,000 them 24 author per 10,000 18 dialect per 10,000 could 23 author per 10,000 13 dialect per 10,000 gaun 22 author per 10,000 0 dialect per 10,000 weel 22 author per 10,000 20 dialect per 10,000 i'm 22 author per 10,000 2 dialect per 10,000 jessie 22 author per 10,000 0 dialect per 10,000 prince 21 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 2 dialect per 10,000 - 20 author per 10,000 87 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 0 dialect per 10,000 thocht 20 author per 10,000 0 dialect per 10,000 look 20 author per 10,000 1 dialect per 10,000 that's 20 author per 10,000 9 dialect per 10,000 yer 20 author per 10,000 5 dialect per 10,000 afore 20 author per 10,000 12 dialect per 10,000 frae 19 author per 10,000 0 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 0 dialect per 10,000 hiv 18 author per 10,000 12 dialect per 10,000 or 18 author per 10,000 35 dialect per 10,000 roond 18 author per 10,000 9 dialect per 10,000 next 18 author per 10,000 4 dialect per 10,000 went 18 author per 10,000 0 dialect per 10,000 go 18 author per 10,000 9 dialect per 10,000 ken 18 author per 10,000 17 dialect per 10,000 door 18 author per 10,000 7 dialect per 10,000 can 17 author per 10,000 15 dialect per 10,000 ony 17 author per 10,000 3 dialect per 10,000 awa 17 author per 10,000 1 dialect per 10,000 davie 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 7 dialect per 10,000 did 17 author per 10,000 8 dialect per 10,000 twa 16 author per 10,000 11 dialect per 10,000 aff 16 author per 10,000 10 dialect per 10,000 come 16 author per 10,000 10 dialect per 10,000 canna 16 author per 10,000 4 dialect per 10,000 you 16 author per 10,000 31 dialect per 10,000 to 16 author per 10,000 9 dialect per 10,000 couldna 16 author per 10,000 6 dialect per 10,000 i'll 15 author per 10,000 1 dialect per 10,000 eftir 15 author per 10,000 4 dialect per 10,000 awfy 14 author per 10,000 0 dialect per 10,000 lassie 14 author per 10,000 0 dialect per 10,000 left 14 author per 10,000 5 dialect per 10,000 richt 14 author per 10,000 0 dialect per 10,000 bag 14 author per 10,000 0 dialect per 10,000 mair 14 author per 10,000 0 dialect per 10,000 by 14 author per 10,000 15 dialect per 10,000 think 14 author per 10,000 11 dialect per 10,000 oan 14 author per 10,000 2 dialect per 10,000 tell 14 author per 10,000 6 dialect per 10,000 och 14 author per 10,000 1 dialect per 10,000 wye 14 author per 10,000 0 dialect per 10,000 telt 13 author per 10,000 4 dialect per 10,000 man 13 author per 10,000 12 dialect per 10,000 angel 13 author per 10,000 0 dialect per 10,000 enough 12 author per 10,000 2 dialect per 10,000 hame 12 author per 10,000 1 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 9 dialect per 10,000 heid 12 author per 10,000 6 dialect per 10,000 lizzie 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 12 dialect per 10,000 some 12 author per 10,000 19 dialect per 10,000 mebbe 12 author per 10,000 1 dialect per 10,000 naw 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 2 dialect per 10,000 better 12 author per 10,000 5 dialect per 10,000 cause 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 14 dialect per 10,000 thing 12 author per 10,000 7 dialect per 10,000 how 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 nicht 12 author per 10,000 0 dialect per 10,000 kent 12 author per 10,000 6 dialect per 10,000 ' 12 author per 10,000 7 dialect per 10,000 gie 12 author per 10,000 3 dialect per 10,000 she's 11 author per 10,000 0 dialect per 10,000 much 11 author per 10,000 7 dialect per 10,000 bit 11 author per 10,000 49 dialect per 10,000 let 11 author per 10,000 3 dialect per 10,000 though 11 author per 10,000 4 dialect per 10,000 ye're 11 author per 10,000 0 dialect per 10,000 tam 11 author per 10,000 2 dialect per 10,000 sae 10 author per 10,000 1 dialect per 10,000 she'd 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 polis 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 6 dialect per 10,000 betsy 10 author per 10,000 0 dialect per 10,000 been 10 author per 10,000 19 dialect per 10,000 here 10 author per 10,000 14 dialect per 10,000 road 10 author per 10,000 5 dialect per 10,000 he'd 10 author per 10,000 4 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 0 dialect per 10,000 bairn 10 author per 10,000 4 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 8 dialect per 10,000 lang 9 author per 10,000 2 dialect per 10,000 deid 9 author per 10,000 1 dialect per 10,000 day 9 author per 10,000 22 dialect per 10,000 mornin 9 author per 10,000 0 dialect per 10,000 annie 9 author per 10,000 1 dialect per 10,000 gettin 9 author per 10,000 0 dialect per 10,000 face 9 author per 10,000 7 dialect per 10,000 too 9 author per 10,000 7 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 somethin 8 author per 10,000 0 dialect per 10,000 must 8 author per 10,000 5 dialect per 10,000 mither 8 author per 10,000 4 dialect per 10,000 wife 8 author per 10,000 7 dialect per 10,000 taen 8 author per 10,000 4 dialect per 10,000 ane 8 author per 10,000 1 dialect per 10,000 sure 8 author per 10,000 6 dialect per 10,000 put 8 author per 10,000 1 dialect per 10,000 ye've 8 author per 10,000 0 dialect per 10,000 kept 8 author per 10,000 2 dialect per 10,000 tak 8 author per 10,000 12 dialect per 10,000 magic 8 author per 10,000 0 dialect per 10,000 want 8 author per 10,000 5 dialect per 10,000 hoose 8 author per 10,000 11 dialect per 10,000 auld 8 author per 10,000 1 dialect per 10,000 whaur 8 author per 10,000 1 dialect per 10,000 i've 8 author per 10,000 1 dialect per 10,000 done 8 author per 10,000 0 dialect per 10,000 april 8 author per 10,000 1 dialect per 10,000 billy 8 author per 10,000 2 dialect per 10,000 bairns 8 author per 10,000 4 dialect per 10,000 last 8 author per 10,000 7 dialect per 10,000 widnae 8 author per 10,000 0 dialect per 10,000 till 8 author per 10,000 8 dialect per 10,000
Southern
the 608 author per 10,000 463 dialect per 10,000 an 315 author per 10,000 303 dialect per 10,000 a 238 author per 10,000 239 dialect per 10,000 tae 231 author per 10,000 206 dialect per 10,000 it 195 author per 10,000 60 dialect per 10,000 wis 189 author per 10,000 57 dialect per 10,000 i 167 author per 10,000 62 dialect per 10,000 he 131 author per 10,000 15 dialect per 10,000 ye 120 author per 10,000 31 dialect per 10,000 in 116 author per 10,000 111 dialect per 10,000 she 110 author per 10,000 77 dialect per 10,000 that 97 author per 10,000 61 dialect per 10,000 her 91 author per 10,000 15 dialect per 10,000 o 89 author per 10,000 191 dialect per 10,000 wee 69 author per 10,000 24 dialect per 10,000 his 65 author per 10,000 38 dialect per 10,000 but 64 author per 10,000 39 dialect per 10,000 fer 60 author per 10,000 3 dialect per 10,000 at 58 author per 10,000 70 dialect per 10,000 oot 57 author per 10,000 34 dialect per 10,000 no 55 author per 10,000 28 dialect per 10,000 had 55 author per 10,000 2 dialect per 10,000 on 54 author per 10,000 50 dialect per 10,000 me 51 author per 10,000 13 dialect per 10,000 wi 50 author per 10,000 71 dialect per 10,000 they 50 author per 10,000 36 dialect per 10,000 up 48 author per 10,000 41 dialect per 10,000 said 47 author per 10,000 62 dialect per 10,000 if 46 author per 10,000 16 dialect per 10,000 jist 44 author per 10,000 16 dialect per 10,000 as 44 author per 10,000 52 dialect per 10,000 him 43 author per 10,000 13 dialect per 10,000 be 43 author per 10,000 12 dialect per 10,000 aa 41 author per 10,000 12 dialect per 10,000 there 40 author per 10,000 16 dialect per 10,000 ma 39 author per 10,000 56 dialect per 10,000 whit 38 author per 10,000 29 dialect per 10,000 wid 37 author per 10,000 3 dialect per 10,000 like 34 author per 10,000 7 dialect per 10,000 were 34 author per 10,000 16 dialect per 10,000 this 33 author per 10,000 33 dialect per 10,000 so 33 author per 10,000 3 dialect per 10,000 when 32 author per 10,000 17 dialect per 10,000 get 31 author per 10,000 11 dialect per 10,000 aye 30 author per 10,000 11 dialect per 10,000 ower 30 author per 10,000 16 dialect per 10,000 back 30 author per 10,000 19 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 7 dialect per 10,000 nae 30 author per 10,000 26 dialect per 10,000 it's 28 author per 10,000 7 dialect per 10,000 is 27 author per 10,000 60 dialect per 10,000 we 27 author per 10,000 18 dialect per 10,000 noo 27 author per 10,000 13 dialect per 10,000 intae 26 author per 10,000 13 dialect per 10,000 see 25 author per 10,000 6 dialect per 10,000 aboot 25 author per 10,000 28 dialect per 10,000 hae 25 author per 10,000 33 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 10 dialect per 10,000 doon 25 author per 10,000 25 dialect per 10,000 dae 25 author per 10,000 13 dialect per 10,000 then 24 author per 10,000 18 dialect per 10,000 didnae 24 author per 10,000 5 dialect per 10,000 wisna 24 author per 10,000 1 dialect per 10,000 them 24 author per 10,000 5 dialect per 10,000 could 23 author per 10,000 13 dialect per 10,000 gaun 22 author per 10,000 13 dialect per 10,000 weel 22 author per 10,000 5 dialect per 10,000 i'm 22 author per 10,000 1 dialect per 10,000 jessie 22 author per 10,000 0 dialect per 10,000 prince 21 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 23 dialect per 10,000 - 20 author per 10,000 28 dialect per 10,000 time 20 author per 10,000 15 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 0 dialect per 10,000 thocht 20 author per 10,000 12 dialect per 10,000 look 20 author per 10,000 4 dialect per 10,000 that's 20 author per 10,000 6 dialect per 10,000 yer 20 author per 10,000 20 dialect per 10,000 afore 20 author per 10,000 15 dialect per 10,000 frae 19 author per 10,000 35 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 10 dialect per 10,000 hiv 18 author per 10,000 1 dialect per 10,000 or 18 author per 10,000 25 dialect per 10,000 roond 18 author per 10,000 8 dialect per 10,000 next 18 author per 10,000 5 dialect per 10,000 went 18 author per 10,000 13 dialect per 10,000 go 18 author per 10,000 1 dialect per 10,000 ken 18 author per 10,000 18 dialect per 10,000 door 18 author per 10,000 7 dialect per 10,000 can 17 author per 10,000 12 dialect per 10,000 ony 17 author per 10,000 7 dialect per 10,000 awa 17 author per 10,000 14 dialect per 10,000 davie 17 author per 10,000 0 dialect per 10,000 even 17 author per 10,000 6 dialect per 10,000 did 17 author per 10,000 10 dialect per 10,000 twa 16 author per 10,000 3 dialect per 10,000 aff 16 author per 10,000 6 dialect per 10,000 come 16 author per 10,000 8 dialect per 10,000 canna 16 author per 10,000 1 dialect per 10,000 you 16 author per 10,000 3 dialect per 10,000 to 16 author per 10,000 3 dialect per 10,000 couldna 16 author per 10,000 0 dialect per 10,000 i'll 15 author per 10,000 0 dialect per 10,000 eftir 15 author per 10,000 3 dialect per 10,000 awfy 14 author per 10,000 10 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 left 14 author per 10,000 5 dialect per 10,000 richt 14 author per 10,000 17 dialect per 10,000 bag 14 author per 10,000 1 dialect per 10,000 mair 14 author per 10,000 16 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 think 14 author per 10,000 7 dialect per 10,000 oan 14 author per 10,000 41 dialect per 10,000 tell 14 author per 10,000 8 dialect per 10,000 och 14 author per 10,000 5 dialect per 10,000 wye 14 author per 10,000 0 dialect per 10,000 telt 13 author per 10,000 5 dialect per 10,000 man 13 author per 10,000 10 dialect per 10,000 angel 13 author per 10,000 0 dialect per 10,000 enough 12 author per 10,000 5 dialect per 10,000 hame 12 author per 10,000 10 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 1 dialect per 10,000 heid 12 author per 10,000 15 dialect per 10,000 lizzie 12 author per 10,000 1 dialect per 10,000 again 12 author per 10,000 4 dialect per 10,000 some 12 author per 10,000 12 dialect per 10,000 mebbe 12 author per 10,000 0 dialect per 10,000 naw 12 author per 10,000 2 dialect per 10,000 its 12 author per 10,000 9 dialect per 10,000 better 12 author per 10,000 3 dialect per 10,000 cause 12 author per 10,000 1 dialect per 10,000 are 12 author per 10,000 11 dialect per 10,000 thing 12 author per 10,000 3 dialect per 10,000 how 12 author per 10,000 10 dialect per 10,000 seen 12 author per 10,000 5 dialect per 10,000 nicht 12 author per 10,000 7 dialect per 10,000 kent 12 author per 10,000 12 dialect per 10,000 ' 12 author per 10,000 8 dialect per 10,000 gie 12 author per 10,000 12 dialect per 10,000 she's 11 author per 10,000 2 dialect per 10,000 much 11 author per 10,000 7 dialect per 10,000 bit 11 author per 10,000 18 dialect per 10,000 let 11 author per 10,000 4 dialect per 10,000 though 11 author per 10,000 1 dialect per 10,000 ye're 11 author per 10,000 2 dialect per 10,000 tam 11 author per 10,000 0 dialect per 10,000 sae 10 author per 10,000 26 dialect per 10,000 she'd 10 author per 10,000 2 dialect per 10,000 mak 10 author per 10,000 7 dialect per 10,000 polis 10 author per 10,000 1 dialect per 10,000 us 10 author per 10,000 7 dialect per 10,000 betsy 10 author per 10,000 0 dialect per 10,000 been 10 author per 10,000 9 dialect per 10,000 here 10 author per 10,000 13 dialect per 10,000 road 10 author per 10,000 7 dialect per 10,000 he'd 10 author per 10,000 1 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 8 dialect per 10,000 bairn 10 author per 10,000 4 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 2 dialect per 10,000 lang 9 author per 10,000 12 dialect per 10,000 deid 9 author per 10,000 3 dialect per 10,000 day 9 author per 10,000 16 dialect per 10,000 mornin 9 author per 10,000 2 dialect per 10,000 annie 9 author per 10,000 0 dialect per 10,000 gettin 9 author per 10,000 4 dialect per 10,000 face 9 author per 10,000 6 dialect per 10,000 too 9 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 somethin 8 author per 10,000 2 dialect per 10,000 must 8 author per 10,000 5 dialect per 10,000 mither 8 author per 10,000 2 dialect per 10,000 wife 8 author per 10,000 4 dialect per 10,000 taen 8 author per 10,000 3 dialect per 10,000 ane 8 author per 10,000 9 dialect per 10,000 sure 8 author per 10,000 1 dialect per 10,000 put 8 author per 10,000 6 dialect per 10,000 ye've 8 author per 10,000 1 dialect per 10,000 kept 8 author per 10,000 2 dialect per 10,000 tak 8 author per 10,000 8 dialect per 10,000 magic 8 author per 10,000 1 dialect per 10,000 want 8 author per 10,000 3 dialect per 10,000 hoose 8 author per 10,000 20 dialect per 10,000 auld 8 author per 10,000 21 dialect per 10,000 whaur 8 author per 10,000 8 dialect per 10,000 i've 8 author per 10,000 0 dialect per 10,000 done 8 author per 10,000 1 dialect per 10,000 april 8 author per 10,000 0 dialect per 10,000 billy 8 author per 10,000 1 dialect per 10,000 bairns 8 author per 10,000 6 dialect per 10,000 last 8 author per 10,000 6 dialect per 10,000 widnae 8 author per 10,000 1 dialect per 10,000 till 8 author per 10,000 5 dialect per 10,000
Ulster
the 608 author per 10,000 209 dialect per 10,000 an 315 author per 10,000 413 dialect per 10,000 a 238 author per 10,000 292 dialect per 10,000 tae 231 author per 10,000 252 dialect per 10,000 it 195 author per 10,000 78 dialect per 10,000 wis 189 author per 10,000 1 dialect per 10,000 i 167 author per 10,000 9 dialect per 10,000 he 131 author per 10,000 77 dialect per 10,000 ye 120 author per 10,000 86 dialect per 10,000 in 116 author per 10,000 102 dialect per 10,000 she 110 author per 10,000 16 dialect per 10,000 that 97 author per 10,000 81 dialect per 10,000 her 91 author per 10,000 8 dialect per 10,000 o 89 author per 10,000 249 dialect per 10,000 wee 69 author per 10,000 26 dialect per 10,000 his 65 author per 10,000 22 dialect per 10,000 but 64 author per 10,000 49 dialect per 10,000 fer 60 author per 10,000 16 dialect per 10,000 at 58 author per 10,000 45 dialect per 10,000 oot 57 author per 10,000 56 dialect per 10,000 no 55 author per 10,000 25 dialect per 10,000 had 55 author per 10,000 17 dialect per 10,000 on 54 author per 10,000 66 dialect per 10,000 me 51 author per 10,000 24 dialect per 10,000 wi 50 author per 10,000 74 dialect per 10,000 they 50 author per 10,000 24 dialect per 10,000 up 48 author per 10,000 36 dialect per 10,000 said 47 author per 10,000 35 dialect per 10,000 if 46 author per 10,000 15 dialect per 10,000 jist 44 author per 10,000 11 dialect per 10,000 as 44 author per 10,000 30 dialect per 10,000 him 43 author per 10,000 11 dialect per 10,000 be 43 author per 10,000 47 dialect per 10,000 aa 41 author per 10,000 43 dialect per 10,000 there 40 author per 10,000 6 dialect per 10,000 ma 39 author per 10,000 25 dialect per 10,000 whit 38 author per 10,000 2 dialect per 10,000 wid 37 author per 10,000 1 dialect per 10,000 like 34 author per 10,000 10 dialect per 10,000 were 34 author per 10,000 4 dialect per 10,000 this 33 author per 10,000 29 dialect per 10,000 so 33 author per 10,000 5 dialect per 10,000 when 32 author per 10,000 2 dialect per 10,000 get 31 author per 10,000 8 dialect per 10,000 aye 30 author per 10,000 13 dialect per 10,000 ower 30 author per 10,000 19 dialect per 10,000 back 30 author per 10,000 2 dialect per 10,000 hughie 30 author per 10,000 0 dialect per 10,000 big 30 author per 10,000 9 dialect per 10,000 nae 30 author per 10,000 24 dialect per 10,000 it's 28 author per 10,000 13 dialect per 10,000 is 27 author per 10,000 21 dialect per 10,000 we 27 author per 10,000 17 dialect per 10,000 noo 27 author per 10,000 25 dialect per 10,000 intae 26 author per 10,000 11 dialect per 10,000 see 25 author per 10,000 18 dialect per 10,000 aboot 25 author per 10,000 30 dialect per 10,000 hae 25 author per 10,000 57 dialect per 10,000 shuggie 25 author per 10,000 0 dialect per 10,000 got 25 author per 10,000 10 dialect per 10,000 doon 25 author per 10,000 33 dialect per 10,000 dae 25 author per 10,000 27 dialect per 10,000 then 24 author per 10,000 19 dialect per 10,000 didnae 24 author per 10,000 5 dialect per 10,000 wisna 24 author per 10,000 0 dialect per 10,000 them 24 author per 10,000 6 dialect per 10,000 could 23 author per 10,000 1 dialect per 10,000 gaun 22 author per 10,000 2 dialect per 10,000 weel 22 author per 10,000 16 dialect per 10,000 i'm 22 author per 10,000 1 dialect per 10,000 jessie 22 author per 10,000 0 dialect per 10,000 prince 21 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 40 dialect per 10,000 - 20 author per 10,000 22 dialect per 10,000 time 20 author per 10,000 14 dialect per 10,000 unicorn 20 author per 10,000 0 dialect per 10,000 moira 20 author per 10,000 0 dialect per 10,000 thocht 20 author per 10,000 13 dialect per 10,000 look 20 author per 10,000 0 dialect per 10,000 that's 20 author per 10,000 9 dialect per 10,000 yer 20 author per 10,000 44 dialect per 10,000 afore 20 author per 10,000 14 dialect per 10,000 frae 19 author per 10,000 36 dialect per 10,000 cinderella 19 author per 10,000 0 dialect per 10,000 dinnae 19 author per 10,000 11 dialect per 10,000 hiv 18 author per 10,000 0 dialect per 10,000 or 18 author per 10,000 43 dialect per 10,000 roond 18 author per 10,000 1 dialect per 10,000 next 18 author per 10,000 0 dialect per 10,000 went 18 author per 10,000 14 dialect per 10,000 go 18 author per 10,000 4 dialect per 10,000 ken 18 author per 10,000 3 dialect per 10,000 door 18 author per 10,000 0 dialect per 10,000 can 17 author per 10,000 13 dialect per 10,000 ony 17 author per 10,000 1 dialect per 10,000 awa 17 author per 10,000 19 dialect per 10,000 davie 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 4 dialect per 10,000 did 17 author per 10,000 5 dialect per 10,000 twa 16 author per 10,000 12 dialect per 10,000 aff 16 author per 10,000 17 dialect per 10,000 come 16 author per 10,000 10 dialect per 10,000 canna 16 author per 10,000 0 dialect per 10,000 you 16 author per 10,000 5 dialect per 10,000 to 16 author per 10,000 2 dialect per 10,000 couldna 16 author per 10,000 0 dialect per 10,000 i'll 15 author per 10,000 0 dialect per 10,000 eftir 15 author per 10,000 0 dialect per 10,000 awfy 14 author per 10,000 0 dialect per 10,000 lassie 14 author per 10,000 0 dialect per 10,000 left 14 author per 10,000 4 dialect per 10,000 richt 14 author per 10,000 16 dialect per 10,000 bag 14 author per 10,000 0 dialect per 10,000 mair 14 author per 10,000 27 dialect per 10,000 by 14 author per 10,000 9 dialect per 10,000 think 14 author per 10,000 8 dialect per 10,000 oan 14 author per 10,000 13 dialect per 10,000 tell 14 author per 10,000 12 dialect per 10,000 och 14 author per 10,000 2 dialect per 10,000 wye 14 author per 10,000 18 dialect per 10,000 telt 13 author per 10,000 1 dialect per 10,000 man 13 author per 10,000 21 dialect per 10,000 angel 13 author per 10,000 2 dialect per 10,000 enough 12 author per 10,000 0 dialect per 10,000 hame 12 author per 10,000 10 dialect per 10,000 fairy 12 author per 10,000 0 dialect per 10,000 nivver 12 author per 10,000 0 dialect per 10,000 heid 12 author per 10,000 15 dialect per 10,000 lizzie 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 1 dialect per 10,000 some 12 author per 10,000 8 dialect per 10,000 mebbe 12 author per 10,000 2 dialect per 10,000 naw 12 author per 10,000 12 dialect per 10,000 its 12 author per 10,000 9 dialect per 10,000 better 12 author per 10,000 2 dialect per 10,000 cause 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 2 dialect per 10,000 thing 12 author per 10,000 7 dialect per 10,000 how 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 4 dialect per 10,000 nicht 12 author per 10,000 7 dialect per 10,000 kent 12 author per 10,000 1 dialect per 10,000 ' 12 author per 10,000 14 dialect per 10,000 gie 12 author per 10,000 17 dialect per 10,000 she's 11 author per 10,000 1 dialect per 10,000 much 11 author per 10,000 4 dialect per 10,000 bit 11 author per 10,000 7 dialect per 10,000 let 11 author per 10,000 6 dialect per 10,000 though 11 author per 10,000 1 dialect per 10,000 ye're 11 author per 10,000 0 dialect per 10,000 tam 11 author per 10,000 1 dialect per 10,000 sae 10 author per 10,000 28 dialect per 10,000 she'd 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 11 dialect per 10,000 polis 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 4 dialect per 10,000 betsy 10 author per 10,000 0 dialect per 10,000 been 10 author per 10,000 1 dialect per 10,000 here 10 author per 10,000 11 dialect per 10,000 road 10 author per 10,000 3 dialect per 10,000 he'd 10 author per 10,000 1 dialect per 10,000 joey 10 author per 10,000 0 dialect per 10,000 king 10 author per 10,000 6 dialect per 10,000 bairn 10 author per 10,000 0 dialect per 10,000 isa 10 author per 10,000 0 dialect per 10,000 circus 9 author per 10,000 0 dialect per 10,000 through 9 author per 10,000 3 dialect per 10,000 lang 9 author per 10,000 13 dialect per 10,000 deid 9 author per 10,000 4 dialect per 10,000 day 9 author per 10,000 17 dialect per 10,000 mornin 9 author per 10,000 0 dialect per 10,000 annie 9 author per 10,000 0 dialect per 10,000 gettin 9 author per 10,000 2 dialect per 10,000 face 9 author per 10,000 3 dialect per 10,000 too 9 author per 10,000 2 dialect per 10,000 first 9 author per 10,000 1 dialect per 10,000 somethin 8 author per 10,000 2 dialect per 10,000 must 8 author per 10,000 2 dialect per 10,000 mither 8 author per 10,000 4 dialect per 10,000 wife 8 author per 10,000 3 dialect per 10,000 taen 8 author per 10,000 4 dialect per 10,000 ane 8 author per 10,000 0 dialect per 10,000 sure 8 author per 10,000 4 dialect per 10,000 put 8 author per 10,000 1 dialect per 10,000 ye've 8 author per 10,000 0 dialect per 10,000 kept 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 16 dialect per 10,000 magic 8 author per 10,000 0 dialect per 10,000 want 8 author per 10,000 4 dialect per 10,000 hoose 8 author per 10,000 16 dialect per 10,000 auld 8 author per 10,000 1 dialect per 10,000 whaur 8 author per 10,000 2 dialect per 10,000 i've 8 author per 10,000 0 dialect per 10,000 done 8 author per 10,000 1 dialect per 10,000 april 8 author per 10,000 0 dialect per 10,000 billy 8 author per 10,000 1 dialect per 10,000 bairns 8 author per 10,000 0 dialect per 10,000 last 8 author per 10,000 5 dialect per 10,000 widnae 8 author per 10,000 0 dialect per 10,000 till 8 author per 10,000 1 dialect per 10,000