A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

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Martin, Keiron


Total words by this author in corpus - 612
Total unique words used by this author in corpus - 268
Ratio of total words to unique words - 2.284
Top ten most common words - a, and, tae, the, wis, ma, i, o, she, hid,

Word frequency analysis

For these graphs we normalise the words used by the author to occurrences per million, and we calculate a similar normalised number of occurrences for the same word in each dialect. The author's norm is plotted against each dialect's norm in each graph.
If the dots line up with the diagonal line then the author is using words found in that dialect in about the typical frequency expected.
If the dots are below the dotted line, then the author's words are not found in the dialect as often as expected.
If the dots are along the y-axis, the words are not found in that dialect.
To save memory only the most frequent 200 words of the author's work are plotted.

Central
a 621 author per 10,000 266 dialect per 10,000 and 408 author per 10,000 93 dialect per 10,000 tae 392 author per 10,000 211 dialect per 10,000 the 392 author per 10,000 565 dialect per 10,000 wis 392 author per 10,000 97 dialect per 10,000 ma 343 author per 10,000 51 dialect per 10,000 i 196 author per 10,000 39 dialect per 10,000 o 147 author per 10,000 184 dialect per 10,000 she 147 author per 10,000 56 dialect per 10,000 hid 131 author per 10,000 2 dialect per 10,000 fit 131 author per 10,000 2 dialect per 10,000 that 114 author per 10,000 106 dialect per 10,000 me 98 author per 10,000 40 dialect per 10,000 wi 98 author per 10,000 67 dialect per 10,000 on 98 author per 10,000 55 dialect per 10,000 oot 98 author per 10,000 40 dialect per 10,000 they 98 author per 10,000 41 dialect per 10,000 it 98 author per 10,000 116 dialect per 10,000 fan 82 author per 10,000 0 dialect per 10,000 in 82 author per 10,000 147 dialect per 10,000 family 82 author per 10,000 1 dialect per 10,000 there 82 author per 10,000 23 dialect per 10,000 at 82 author per 10,000 59 dialect per 10,000 telt 65 author per 10,000 5 dialect per 10,000 wid 65 author per 10,000 8 dialect per 10,000 fair 65 author per 10,000 4 dialect per 10,000 jist 65 author per 10,000 20 dialect per 10,000 her 65 author per 10,000 46 dialect per 10,000 so 65 author per 10,000 10 dialect per 10,000 pit 65 author per 10,000 9 dialect per 10,000 plate 65 author per 10,000 0 dialect per 10,000 something 65 author per 10,000 1 dialect per 10,000 be 49 author per 10,000 48 dialect per 10,000 an 49 author per 10,000 225 dialect per 10,000 were 49 author per 10,000 15 dialect per 10,000 ken 49 author per 10,000 14 dialect per 10,000 blether 49 author per 10,000 1 dialect per 10,000 get 49 author per 10,000 14 dialect per 10,000 aboot 49 author per 10,000 29 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 40 dialect per 10,000 he 49 author per 10,000 86 dialect per 10,000 to 49 author per 10,000 9 dialect per 10,000 bairns 33 author per 10,000 5 dialect per 10,000 fowk 33 author per 10,000 12 dialect per 10,000 free 33 author per 10,000 2 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 14 dialect per 10,000 mak 33 author per 10,000 8 dialect per 10,000 came 33 author per 10,000 3 dialect per 10,000 food 33 author per 10,000 1 dialect per 10,000 started 33 author per 10,000 1 dialect per 10,000 wrang 33 author per 10,000 3 dialect per 10,000 got 33 author per 10,000 11 dialect per 10,000 wee 33 author per 10,000 30 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 0 dialect per 10,000 their 33 author per 10,000 19 dialect per 10,000 doon 33 author per 10,000 18 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 58 dialect per 10,000 went 33 author per 10,000 7 dialect per 10,000 stared 33 author per 10,000 0 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 9 dialect per 10,000 sat 33 author per 10,000 2 dialect per 10,000 neeps 33 author per 10,000 0 dialect per 10,000 him 33 author per 10,000 29 dialect per 10,000 makin 33 author per 10,000 2 dialect per 10,000 hiv 33 author per 10,000 2 dialect per 10,000 bit 33 author per 10,000 18 dialect per 10,000 fir 33 author per 10,000 9 dialect per 10,000 them 33 author per 10,000 17 dialect per 10,000 thing 33 author per 10,000 6 dialect per 10,000 sure 33 author per 10,000 2 dialect per 10,000 we 33 author per 10,000 34 dialect per 10,000 awa 33 author per 10,000 12 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 29 dialect per 10,000 meal 33 author per 10,000 0 dialect per 10,000 kent 33 author per 10,000 6 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 17 dialect per 10,000 rest 33 author per 10,000 2 dialect per 10,000 aroon 33 author per 10,000 1 dialect per 10,000 ower 33 author per 10,000 19 dialect per 10,000 then 33 author per 10,000 17 dialect per 10,000 ages 33 author per 10,000 1 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 0 dialect per 10,000 aye 33 author per 10,000 16 dialect per 10,000 oor 16 author per 10,000 15 dialect per 10,000 order 16 author per 10,000 1 dialect per 10,000 smell 16 author per 10,000 1 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 3 dialect per 10,000 waited 16 author per 10,000 0 dialect per 10,000 weel 16 author per 10,000 10 dialect per 10,000 else 16 author per 10,000 3 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 1 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 6 dialect per 10,000 guid 16 author per 10,000 11 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 0 dialect per 10,000 saw 16 author per 10,000 4 dialect per 10,000 mooth 16 author per 10,000 2 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 2 dialect per 10,000 mince 16 author per 10,000 0 dialect per 10,000 tatties 16 author per 10,000 0 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 0 dialect per 10,000 winted 16 author per 10,000 0 dialect per 10,000 seemed 16 author per 10,000 2 dialect per 10,000 affa 16 author per 10,000 0 dialect per 10,000 felt 16 author per 10,000 3 dialect per 10,000 hungry 16 author per 10,000 0 dialect per 10,000 aifter 16 author per 10,000 1 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 15 dialect per 10,000 nane 16 author per 10,000 2 dialect per 10,000 hale 16 author per 10,000 2 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 0 dialect per 10,000 cos 16 author per 10,000 1 dialect per 10,000 nicht 16 author per 10,000 6 dialect per 10,000 decided 16 author per 10,000 1 dialect per 10,000 place 16 author per 10,000 5 dialect per 10,000 this 16 author per 10,000 41 dialect per 10,000 ane 16 author per 10,000 9 dialect per 10,000 widna 16 author per 10,000 0 dialect per 10,000 back 16 author per 10,000 21 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 2 dialect per 10,000 hame 16 author per 10,000 6 dialect per 10,000 go 16 author per 10,000 6 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 1 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 3 dialect per 10,000 lookin 16 author per 10,000 3 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 eat 16 author per 10,000 2 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 11 dialect per 10,000 set 16 author per 10,000 4 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 0 dialect per 10,000 fleer 16 author per 10,000 0 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 48 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 2 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 3 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 3 dialect per 10,000 manager 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 2 dialect per 10,000 tried 16 author per 10,000 2 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 crowd 16 author per 10,000 1 dialect per 10,000 door 16 author per 10,000 6 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 26 dialect per 10,000 headed 16 author per 10,000 0 dialect per 10,000 lugs 16 author per 10,000 1 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 1 dialect per 10,000 pulled 16 author per 10,000 0 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 0 dialect per 10,000 feet 16 author per 10,000 3 dialect per 10,000 looked 16 author per 10,000 3 dialect per 10,000 mannie 16 author per 10,000 1 dialect per 10,000 one 16 author per 10,000 2 dialect per 10,000 group 16 author per 10,000 1 dialect per 10,000 wifies 16 author per 10,000 0 dialect per 10,000 corner 16 author per 10,000 1 dialect per 10,000 haein 16 author per 10,000 2 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 0 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 ca 16 author per 10,000 0 dialect per 10,000 by 16 author per 10,000 17 dialect per 10,000 		Doric
a 621 author per 10,000 314 dialect per 10,000 and 408 author per 10,000 42 dialect per 10,000 tae 392 author per 10,000 171 dialect per 10,000 the 392 author per 10,000 451 dialect per 10,000 wis 392 author per 10,000 104 dialect per 10,000 ma 343 author per 10,000 50 dialect per 10,000 i 196 author per 10,000 68 dialect per 10,000 o 147 author per 10,000 176 dialect per 10,000 she 147 author per 10,000 66 dialect per 10,000 hid 131 author per 10,000 33 dialect per 10,000 fit 131 author per 10,000 40 dialect per 10,000 that 114 author per 10,000 53 dialect per 10,000 me 98 author per 10,000 33 dialect per 10,000 wi 98 author per 10,000 77 dialect per 10,000 on 98 author per 10,000 68 dialect per 10,000 oot 98 author per 10,000 50 dialect per 10,000 they 98 author per 10,000 36 dialect per 10,000 it 98 author per 10,000 99 dialect per 10,000 fan 82 author per 10,000 17 dialect per 10,000 in 82 author per 10,000 131 dialect per 10,000 family 82 author per 10,000 0 dialect per 10,000 there 82 author per 10,000 22 dialect per 10,000 at 82 author per 10,000 67 dialect per 10,000 telt 65 author per 10,000 7 dialect per 10,000 wid 65 author per 10,000 18 dialect per 10,000 fair 65 author per 10,000 7 dialect per 10,000 jist 65 author per 10,000 36 dialect per 10,000 her 65 author per 10,000 64 dialect per 10,000 so 65 author per 10,000 17 dialect per 10,000 pit 65 author per 10,000 9 dialect per 10,000 plate 65 author per 10,000 1 dialect per 10,000 something 65 author per 10,000 2 dialect per 10,000 be 49 author per 10,000 45 dialect per 10,000 an 49 author per 10,000 305 dialect per 10,000 were 49 author per 10,000 13 dialect per 10,000 ken 49 author per 10,000 23 dialect per 10,000 blether 49 author per 10,000 0 dialect per 10,000 get 49 author per 10,000 16 dialect per 10,000 aboot 49 author per 10,000 33 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 47 dialect per 10,000 he 49 author per 10,000 97 dialect per 10,000 to 49 author per 10,000 8 dialect per 10,000 bairns 33 author per 10,000 4 dialect per 10,000 fowk 33 author per 10,000 13 dialect per 10,000 free 33 author per 10,000 1 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 8 dialect per 10,000 mak 33 author per 10,000 9 dialect per 10,000 came 33 author per 10,000 4 dialect per 10,000 food 33 author per 10,000 1 dialect per 10,000 started 33 author per 10,000 2 dialect per 10,000 wrang 33 author per 10,000 3 dialect per 10,000 got 33 author per 10,000 14 dialect per 10,000 wee 33 author per 10,000 18 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 7 dialect per 10,000 their 33 author per 10,000 19 dialect per 10,000 doon 33 author per 10,000 33 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 69 dialect per 10,000 went 33 author per 10,000 4 dialect per 10,000 stared 33 author per 10,000 0 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 7 dialect per 10,000 sat 33 author per 10,000 3 dialect per 10,000 neeps 33 author per 10,000 1 dialect per 10,000 him 33 author per 10,000 30 dialect per 10,000 makin 33 author per 10,000 1 dialect per 10,000 hiv 33 author per 10,000 9 dialect per 10,000 bit 33 author per 10,000 43 dialect per 10,000 fir 33 author per 10,000 14 dialect per 10,000 them 33 author per 10,000 23 dialect per 10,000 thing 33 author per 10,000 6 dialect per 10,000 sure 33 author per 10,000 4 dialect per 10,000 we 33 author per 10,000 33 dialect per 10,000 awa 33 author per 10,000 21 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 26 dialect per 10,000 meal 33 author per 10,000 1 dialect per 10,000 kent 33 author per 10,000 8 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 21 dialect per 10,000 rest 33 author per 10,000 2 dialect per 10,000 aroon 33 author per 10,000 4 dialect per 10,000 ower 33 author per 10,000 30 dialect per 10,000 then 33 author per 10,000 9 dialect per 10,000 ages 33 author per 10,000 0 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 1 dialect per 10,000 aye 33 author per 10,000 22 dialect per 10,000 oor 16 author per 10,000 8 dialect per 10,000 order 16 author per 10,000 1 dialect per 10,000 smell 16 author per 10,000 1 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 2 dialect per 10,000 waited 16 author per 10,000 0 dialect per 10,000 weel 16 author per 10,000 19 dialect per 10,000 else 16 author per 10,000 2 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 0 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 3 dialect per 10,000 guid 16 author per 10,000 4 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 2 dialect per 10,000 saw 16 author per 10,000 3 dialect per 10,000 mooth 16 author per 10,000 1 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 3 dialect per 10,000 mince 16 author per 10,000 1 dialect per 10,000 tatties 16 author per 10,000 1 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 3 dialect per 10,000 winted 16 author per 10,000 1 dialect per 10,000 seemed 16 author per 10,000 2 dialect per 10,000 affa 16 author per 10,000 12 dialect per 10,000 felt 16 author per 10,000 3 dialect per 10,000 hungry 16 author per 10,000 0 dialect per 10,000 aifter 16 author per 10,000 4 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 7 dialect per 10,000 nane 16 author per 10,000 1 dialect per 10,000 hale 16 author per 10,000 5 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 0 dialect per 10,000 cos 16 author per 10,000 1 dialect per 10,000 nicht 16 author per 10,000 12 dialect per 10,000 decided 16 author per 10,000 1 dialect per 10,000 place 16 author per 10,000 5 dialect per 10,000 this 16 author per 10,000 19 dialect per 10,000 ane 16 author per 10,000 5 dialect per 10,000 widna 16 author per 10,000 4 dialect per 10,000 back 16 author per 10,000 21 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 1 dialect per 10,000 hame 16 author per 10,000 11 dialect per 10,000 go 16 author per 10,000 4 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 1 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 2 dialect per 10,000 lookin 16 author per 10,000 3 dialect per 10,000 if 16 author per 10,000 16 dialect per 10,000 eat 16 author per 10,000 1 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 8 dialect per 10,000 set 16 author per 10,000 4 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 1 dialect per 10,000 fleer 16 author per 10,000 2 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 26 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 7 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 4 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 11 dialect per 10,000 manager 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 1 dialect per 10,000 tried 16 author per 10,000 3 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 crowd 16 author per 10,000 0 dialect per 10,000 door 16 author per 10,000 8 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 30 dialect per 10,000 headed 16 author per 10,000 0 dialect per 10,000 lugs 16 author per 10,000 2 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 1 dialect per 10,000 pulled 16 author per 10,000 1 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 1 dialect per 10,000 feet 16 author per 10,000 4 dialect per 10,000 looked 16 author per 10,000 3 dialect per 10,000 mannie 16 author per 10,000 3 dialect per 10,000 one 16 author per 10,000 2 dialect per 10,000 group 16 author per 10,000 0 dialect per 10,000 wifies 16 author per 10,000 1 dialect per 10,000 corner 16 author per 10,000 1 dialect per 10,000 haein 16 author per 10,000 3 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 0 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 12 dialect per 10,000 ca 16 author per 10,000 1 dialect per 10,000 by 16 author per 10,000 9 dialect per 10,000
Shetland
a 621 author per 10,000 280 dialect per 10,000 and 408 author per 10,000 15 dialect per 10,000 tae 392 author per 10,000 86 dialect per 10,000 the 392 author per 10,000 18 dialect per 10,000 wis 392 author per 10,000 162 dialect per 10,000 ma 343 author per 10,000 0 dialect per 10,000 i 196 author per 10,000 143 dialect per 10,000 o 147 author per 10,000 177 dialect per 10,000 she 147 author per 10,000 7 dialect per 10,000 hid 131 author per 10,000 1 dialect per 10,000 fit 131 author per 10,000 4 dialect per 10,000 that 114 author per 10,000 4 dialect per 10,000 me 98 author per 10,000 41 dialect per 10,000 wi 98 author per 10,000 95 dialect per 10,000 on 98 author per 10,000 52 dialect per 10,000 oot 98 author per 10,000 42 dialect per 10,000 they 98 author per 10,000 2 dialect per 10,000 it 98 author per 10,000 58 dialect per 10,000 fan 82 author per 10,000 6 dialect per 10,000 in 82 author per 10,000 105 dialect per 10,000 family 82 author per 10,000 1 dialect per 10,000 there 82 author per 10,000 1 dialect per 10,000 at 82 author per 10,000 112 dialect per 10,000 telt 65 author per 10,000 7 dialect per 10,000 wid 65 author per 10,000 38 dialect per 10,000 fair 65 author per 10,000 1 dialect per 10,000 jist 65 author per 10,000 0 dialect per 10,000 her 65 author per 10,000 64 dialect per 10,000 so 65 author per 10,000 26 dialect per 10,000 pit 65 author per 10,000 6 dialect per 10,000 plate 65 author per 10,000 1 dialect per 10,000 something 65 author per 10,000 1 dialect per 10,000 be 49 author per 10,000 56 dialect per 10,000 an 49 author per 10,000 330 dialect per 10,000 were 49 author per 10,000 3 dialect per 10,000 ken 49 author per 10,000 14 dialect per 10,000 blether 49 author per 10,000 0 dialect per 10,000 get 49 author per 10,000 6 dialect per 10,000 aboot 49 author per 10,000 41 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 42 dialect per 10,000 he 49 author per 10,000 103 dialect per 10,000 to 49 author per 10,000 8 dialect per 10,000 bairns 33 author per 10,000 10 dialect per 10,000 fowk 33 author per 10,000 0 dialect per 10,000 free 33 author per 10,000 1 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 1 dialect per 10,000 mak 33 author per 10,000 12 dialect per 10,000 came 33 author per 10,000 0 dialect per 10,000 food 33 author per 10,000 0 dialect per 10,000 started 33 author per 10,000 1 dialect per 10,000 wrang 33 author per 10,000 3 dialect per 10,000 got 33 author per 10,000 8 dialect per 10,000 wee 33 author per 10,000 0 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 11 dialect per 10,000 their 33 author per 10,000 1 dialect per 10,000 doon 33 author per 10,000 22 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 52 dialect per 10,000 went 33 author per 10,000 0 dialect per 10,000 stared 33 author per 10,000 0 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 10 dialect per 10,000 sat 33 author per 10,000 3 dialect per 10,000 neeps 33 author per 10,000 0 dialect per 10,000 him 33 author per 10,000 47 dialect per 10,000 makin 33 author per 10,000 0 dialect per 10,000 hiv 33 author per 10,000 1 dialect per 10,000 bit 33 author per 10,000 38 dialect per 10,000 fir 33 author per 10,000 29 dialect per 10,000 them 33 author per 10,000 1 dialect per 10,000 thing 33 author per 10,000 6 dialect per 10,000 sure 33 author per 10,000 4 dialect per 10,000 we 33 author per 10,000 44 dialect per 10,000 awa 33 author per 10,000 13 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 32 dialect per 10,000 meal 33 author per 10,000 0 dialect per 10,000 kent 33 author per 10,000 10 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 20 dialect per 10,000 rest 33 author per 10,000 3 dialect per 10,000 aroon 33 author per 10,000 1 dialect per 10,000 ower 33 author per 10,000 24 dialect per 10,000 then 33 author per 10,000 1 dialect per 10,000 ages 33 author per 10,000 0 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 0 dialect per 10,000 aye 33 author per 10,000 11 dialect per 10,000 oor 16 author per 10,000 1 dialect per 10,000 order 16 author per 10,000 1 dialect per 10,000 smell 16 author per 10,000 1 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 1 dialect per 10,000 waited 16 author per 10,000 0 dialect per 10,000 weel 16 author per 10,000 18 dialect per 10,000 else 16 author per 10,000 1 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 2 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 0 dialect per 10,000 guid 16 author per 10,000 12 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 0 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 mooth 16 author per 10,000 3 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 2 dialect per 10,000 mince 16 author per 10,000 0 dialect per 10,000 tatties 16 author per 10,000 1 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 0 dialect per 10,000 winted 16 author per 10,000 0 dialect per 10,000 seemed 16 author per 10,000 3 dialect per 10,000 affa 16 author per 10,000 0 dialect per 10,000 felt 16 author per 10,000 3 dialect per 10,000 hungry 16 author per 10,000 1 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 0 dialect per 10,000 nane 16 author per 10,000 2 dialect per 10,000 hale 16 author per 10,000 3 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 0 dialect per 10,000 cos 16 author per 10,000 0 dialect per 10,000 nicht 16 author per 10,000 3 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 7 dialect per 10,000 this 16 author per 10,000 1 dialect per 10,000 ane 16 author per 10,000 4 dialect per 10,000 widna 16 author per 10,000 5 dialect per 10,000 back 16 author per 10,000 18 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 6 dialect per 10,000 hame 16 author per 10,000 7 dialect per 10,000 go 16 author per 10,000 2 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 1 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 1 dialect per 10,000 lookin 16 author per 10,000 4 dialect per 10,000 if 16 author per 10,000 25 dialect per 10,000 eat 16 author per 10,000 0 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 11 dialect per 10,000 set 16 author per 10,000 12 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 0 dialect per 10,000 fleer 16 author per 10,000 0 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 29 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 9 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 9 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 7 dialect per 10,000 manager 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 0 dialect per 10,000 tried 16 author per 10,000 3 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 crowd 16 author per 10,000 0 dialect per 10,000 door 16 author per 10,000 7 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 40 dialect per 10,000 headed 16 author per 10,000 1 dialect per 10,000 lugs 16 author per 10,000 1 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 1 dialect per 10,000 pulled 16 author per 10,000 0 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 0 dialect per 10,000 feet 16 author per 10,000 3 dialect per 10,000 looked 16 author per 10,000 0 dialect per 10,000 mannie 16 author per 10,000 0 dialect per 10,000 one 16 author per 10,000 1 dialect per 10,000 group 16 author per 10,000 1 dialect per 10,000 wifies 16 author per 10,000 0 dialect per 10,000 corner 16 author per 10,000 0 dialect per 10,000 haein 16 author per 10,000 2 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 0 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 24 dialect per 10,000 ca 16 author per 10,000 0 dialect per 10,000 by 16 author per 10,000 7 dialect per 10,000 		Orkney
a 621 author per 10,000 298 dialect per 10,000 and 408 author per 10,000 199 dialect per 10,000 tae 392 author per 10,000 223 dialect per 10,000 the 392 author per 10,000 582 dialect per 10,000 wis 392 author per 10,000 80 dialect per 10,000 ma 343 author per 10,000 1 dialect per 10,000 i 196 author per 10,000 158 dialect per 10,000 o 147 author per 10,000 202 dialect per 10,000 she 147 author per 10,000 9 dialect per 10,000 hid 131 author per 10,000 91 dialect per 10,000 fit 131 author per 10,000 1 dialect per 10,000 that 114 author per 10,000 75 dialect per 10,000 me 98 author per 10,000 115 dialect per 10,000 wi 98 author per 10,000 46 dialect per 10,000 on 98 author per 10,000 73 dialect per 10,000 oot 98 author per 10,000 50 dialect per 10,000 they 98 author per 10,000 37 dialect per 10,000 it 98 author per 10,000 23 dialect per 10,000 fan 82 author per 10,000 0 dialect per 10,000 in 82 author per 10,000 146 dialect per 10,000 family 82 author per 10,000 1 dialect per 10,000 there 82 author per 10,000 18 dialect per 10,000 at 82 author per 10,000 54 dialect per 10,000 telt 65 author per 10,000 4 dialect per 10,000 wid 65 author per 10,000 20 dialect per 10,000 fair 65 author per 10,000 3 dialect per 10,000 jist 65 author per 10,000 3 dialect per 10,000 her 65 author per 10,000 49 dialect per 10,000 so 65 author per 10,000 30 dialect per 10,000 pit 65 author per 10,000 5 dialect per 10,000 plate 65 author per 10,000 1 dialect per 10,000 something 65 author per 10,000 2 dialect per 10,000 be 49 author per 10,000 42 dialect per 10,000 an 49 author per 10,000 172 dialect per 10,000 were 49 author per 10,000 6 dialect per 10,000 ken 49 author per 10,000 15 dialect per 10,000 blether 49 author per 10,000 1 dialect per 10,000 get 49 author per 10,000 9 dialect per 10,000 aboot 49 author per 10,000 26 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 34 dialect per 10,000 he 49 author per 10,000 85 dialect per 10,000 to 49 author per 10,000 8 dialect per 10,000 bairns 33 author per 10,000 4 dialect per 10,000 fowk 33 author per 10,000 0 dialect per 10,000 free 33 author per 10,000 2 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 1 dialect per 10,000 mak 33 author per 10,000 9 dialect per 10,000 came 33 author per 10,000 1 dialect per 10,000 food 33 author per 10,000 1 dialect per 10,000 started 33 author per 10,000 2 dialect per 10,000 wrang 33 author per 10,000 0 dialect per 10,000 got 33 author per 10,000 11 dialect per 10,000 wee 33 author per 10,000 1 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 0 dialect per 10,000 their 33 author per 10,000 8 dialect per 10,000 doon 33 author per 10,000 28 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 61 dialect per 10,000 went 33 author per 10,000 1 dialect per 10,000 stared 33 author per 10,000 1 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 7 dialect per 10,000 sat 33 author per 10,000 4 dialect per 10,000 neeps 33 author per 10,000 0 dialect per 10,000 him 33 author per 10,000 21 dialect per 10,000 makin 33 author per 10,000 0 dialect per 10,000 hiv 33 author per 10,000 13 dialect per 10,000 bit 33 author per 10,000 48 dialect per 10,000 fir 33 author per 10,000 5 dialect per 10,000 them 33 author per 10,000 18 dialect per 10,000 thing 33 author per 10,000 7 dialect per 10,000 sure 33 author per 10,000 5 dialect per 10,000 we 33 author per 10,000 29 dialect per 10,000 awa 33 author per 10,000 1 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 30 dialect per 10,000 meal 33 author per 10,000 0 dialect per 10,000 kent 33 author per 10,000 6 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 17 dialect per 10,000 rest 33 author per 10,000 3 dialect per 10,000 aroon 33 author per 10,000 2 dialect per 10,000 ower 33 author per 10,000 18 dialect per 10,000 then 33 author per 10,000 18 dialect per 10,000 ages 33 author per 10,000 0 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 1 dialect per 10,000 aye 33 author per 10,000 9 dialect per 10,000 oor 16 author per 10,000 2 dialect per 10,000 order 16 author per 10,000 1 dialect per 10,000 smell 16 author per 10,000 2 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 1 dialect per 10,000 waited 16 author per 10,000 1 dialect per 10,000 weel 16 author per 10,000 17 dialect per 10,000 else 16 author per 10,000 2 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 0 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 9 dialect per 10,000 guid 16 author per 10,000 2 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 1 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 mooth 16 author per 10,000 2 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 5 dialect per 10,000 mince 16 author per 10,000 1 dialect per 10,000 tatties 16 author per 10,000 2 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 0 dialect per 10,000 winted 16 author per 10,000 0 dialect per 10,000 seemed 16 author per 10,000 2 dialect per 10,000 affa 16 author per 10,000 0 dialect per 10,000 felt 16 author per 10,000 3 dialect per 10,000 hungry 16 author per 10,000 1 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 6 dialect per 10,000 nane 16 author per 10,000 0 dialect per 10,000 hale 16 author per 10,000 0 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 1 dialect per 10,000 cos 16 author per 10,000 0 dialect per 10,000 nicht 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 4 dialect per 10,000 this 16 author per 10,000 34 dialect per 10,000 ane 16 author per 10,000 1 dialect per 10,000 widna 16 author per 10,000 2 dialect per 10,000 back 16 author per 10,000 26 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 2 dialect per 10,000 hame 16 author per 10,000 1 dialect per 10,000 go 16 author per 10,000 10 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 1 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 1 dialect per 10,000 lookin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 15 dialect per 10,000 eat 16 author per 10,000 1 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 6 dialect per 10,000 set 16 author per 10,000 6 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 1 dialect per 10,000 fleer 16 author per 10,000 0 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 28 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 4 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 3 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 7 dialect per 10,000 manager 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 2 dialect per 10,000 tried 16 author per 10,000 2 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 1 dialect per 10,000 crowd 16 author per 10,000 1 dialect per 10,000 door 16 author per 10,000 8 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 39 dialect per 10,000 headed 16 author per 10,000 0 dialect per 10,000 lugs 16 author per 10,000 1 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 2 dialect per 10,000 pulled 16 author per 10,000 1 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 0 dialect per 10,000 feet 16 author per 10,000 5 dialect per 10,000 looked 16 author per 10,000 0 dialect per 10,000 mannie 16 author per 10,000 0 dialect per 10,000 one 16 author per 10,000 1 dialect per 10,000 group 16 author per 10,000 1 dialect per 10,000 wifies 16 author per 10,000 0 dialect per 10,000 corner 16 author per 10,000 2 dialect per 10,000 haein 16 author per 10,000 0 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 0 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 ca 16 author per 10,000 0 dialect per 10,000 by 16 author per 10,000 16 dialect per 10,000
Southern
a 621 author per 10,000 230 dialect per 10,000 and 408 author per 10,000 33 dialect per 10,000 tae 392 author per 10,000 206 dialect per 10,000 the 392 author per 10,000 449 dialect per 10,000 wis 392 author per 10,000 54 dialect per 10,000 ma 343 author per 10,000 59 dialect per 10,000 i 196 author per 10,000 74 dialect per 10,000 o 147 author per 10,000 200 dialect per 10,000 she 147 author per 10,000 91 dialect per 10,000 hid 131 author per 10,000 0 dialect per 10,000 fit 131 author per 10,000 5 dialect per 10,000 that 114 author per 10,000 65 dialect per 10,000 me 98 author per 10,000 16 dialect per 10,000 wi 98 author per 10,000 66 dialect per 10,000 on 98 author per 10,000 55 dialect per 10,000 oot 98 author per 10,000 34 dialect per 10,000 they 98 author per 10,000 31 dialect per 10,000 it 98 author per 10,000 63 dialect per 10,000 fan 82 author per 10,000 2 dialect per 10,000 in 82 author per 10,000 107 dialect per 10,000 family 82 author per 10,000 1 dialect per 10,000 there 82 author per 10,000 16 dialect per 10,000 at 82 author per 10,000 69 dialect per 10,000 telt 65 author per 10,000 5 dialect per 10,000 wid 65 author per 10,000 1 dialect per 10,000 fair 65 author per 10,000 13 dialect per 10,000 jist 65 author per 10,000 11 dialect per 10,000 her 65 author per 10,000 17 dialect per 10,000 so 65 author per 10,000 3 dialect per 10,000 pit 65 author per 10,000 2 dialect per 10,000 plate 65 author per 10,000 1 dialect per 10,000 something 65 author per 10,000 0 dialect per 10,000 be 49 author per 10,000 13 dialect per 10,000 an 49 author per 10,000 289 dialect per 10,000 were 49 author per 10,000 15 dialect per 10,000 ken 49 author per 10,000 17 dialect per 10,000 blether 49 author per 10,000 1 dialect per 10,000 get 49 author per 10,000 10 dialect per 10,000 aboot 49 author per 10,000 29 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 41 dialect per 10,000 he 49 author per 10,000 12 dialect per 10,000 to 49 author per 10,000 1 dialect per 10,000 bairns 33 author per 10,000 7 dialect per 10,000 fowk 33 author per 10,000 4 dialect per 10,000 free 33 author per 10,000 1 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 22 dialect per 10,000 mak 33 author per 10,000 7 dialect per 10,000 came 33 author per 10,000 6 dialect per 10,000 food 33 author per 10,000 0 dialect per 10,000 started 33 author per 10,000 0 dialect per 10,000 wrang 33 author per 10,000 1 dialect per 10,000 got 33 author per 10,000 10 dialect per 10,000 wee 33 author per 10,000 23 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 0 dialect per 10,000 their 33 author per 10,000 14 dialect per 10,000 doon 33 author per 10,000 24 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 37 dialect per 10,000 went 33 author per 10,000 13 dialect per 10,000 stared 33 author per 10,000 0 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 2 dialect per 10,000 sat 33 author per 10,000 4 dialect per 10,000 neeps 33 author per 10,000 0 dialect per 10,000 him 33 author per 10,000 11 dialect per 10,000 makin 33 author per 10,000 1 dialect per 10,000 hiv 33 author per 10,000 0 dialect per 10,000 bit 33 author per 10,000 14 dialect per 10,000 fir 33 author per 10,000 5 dialect per 10,000 them 33 author per 10,000 5 dialect per 10,000 thing 33 author per 10,000 2 dialect per 10,000 sure 33 author per 10,000 1 dialect per 10,000 we 33 author per 10,000 10 dialect per 10,000 awa 33 author per 10,000 14 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 22 dialect per 10,000 meal 33 author per 10,000 0 dialect per 10,000 kent 33 author per 10,000 11 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 5 dialect per 10,000 rest 33 author per 10,000 3 dialect per 10,000 aroon 33 author per 10,000 0 dialect per 10,000 ower 33 author per 10,000 13 dialect per 10,000 then 33 author per 10,000 17 dialect per 10,000 ages 33 author per 10,000 0 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 0 dialect per 10,000 aye 33 author per 10,000 11 dialect per 10,000 oor 16 author per 10,000 11 dialect per 10,000 order 16 author per 10,000 1 dialect per 10,000 smell 16 author per 10,000 1 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 1 dialect per 10,000 waited 16 author per 10,000 2 dialect per 10,000 weel 16 author per 10,000 4 dialect per 10,000 else 16 author per 10,000 2 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 0 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 2 dialect per 10,000 guid 16 author per 10,000 14 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 0 dialect per 10,000 saw 16 author per 10,000 3 dialect per 10,000 mooth 16 author per 10,000 2 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 2 dialect per 10,000 mince 16 author per 10,000 0 dialect per 10,000 tatties 16 author per 10,000 0 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 0 dialect per 10,000 winted 16 author per 10,000 0 dialect per 10,000 seemed 16 author per 10,000 5 dialect per 10,000 affa 16 author per 10,000 0 dialect per 10,000 felt 16 author per 10,000 4 dialect per 10,000 hungry 16 author per 10,000 0 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 5 dialect per 10,000 nane 16 author per 10,000 2 dialect per 10,000 hale 16 author per 10,000 2 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 1 dialect per 10,000 cos 16 author per 10,000 2 dialect per 10,000 nicht 16 author per 10,000 8 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 5 dialect per 10,000 this 16 author per 10,000 35 dialect per 10,000 ane 16 author per 10,000 8 dialect per 10,000 widna 16 author per 10,000 0 dialect per 10,000 back 16 author per 10,000 19 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 1 dialect per 10,000 hame 16 author per 10,000 8 dialect per 10,000 go 16 author per 10,000 1 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 1 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 2 dialect per 10,000 lookin 16 author per 10,000 4 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 eat 16 author per 10,000 3 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 10 dialect per 10,000 set 16 author per 10,000 4 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 0 dialect per 10,000 fleer 16 author per 10,000 0 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 42 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 1 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 4 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 1 dialect per 10,000 manager 16 author per 10,000 1 dialect per 10,000 asked 16 author per 10,000 3 dialect per 10,000 tried 16 author per 10,000 3 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 crowd 16 author per 10,000 0 dialect per 10,000 door 16 author per 10,000 8 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 0 dialect per 10,000 headed 16 author per 10,000 0 dialect per 10,000 lugs 16 author per 10,000 1 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 1 dialect per 10,000 pulled 16 author per 10,000 0 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 0 dialect per 10,000 feet 16 author per 10,000 3 dialect per 10,000 looked 16 author per 10,000 6 dialect per 10,000 mannie 16 author per 10,000 0 dialect per 10,000 one 16 author per 10,000 1 dialect per 10,000 group 16 author per 10,000 1 dialect per 10,000 wifies 16 author per 10,000 0 dialect per 10,000 corner 16 author per 10,000 2 dialect per 10,000 haein 16 author per 10,000 1 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 1 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 ca 16 author per 10,000 7 dialect per 10,000 by 16 author per 10,000 5 dialect per 10,000 		Ulster
a 621 author per 10,000 287 dialect per 10,000 and 408 author per 10,000 10 dialect per 10,000 tae 392 author per 10,000 253 dialect per 10,000 the 392 author per 10,000 345 dialect per 10,000 wis 392 author per 10,000 1 dialect per 10,000 ma 343 author per 10,000 23 dialect per 10,000 i 196 author per 10,000 16 dialect per 10,000 o 147 author per 10,000 208 dialect per 10,000 she 147 author per 10,000 31 dialect per 10,000 hid 131 author per 10,000 0 dialect per 10,000 fit 131 author per 10,000 4 dialect per 10,000 that 114 author per 10,000 71 dialect per 10,000 me 98 author per 10,000 24 dialect per 10,000 wi 98 author per 10,000 63 dialect per 10,000 on 98 author per 10,000 57 dialect per 10,000 oot 98 author per 10,000 49 dialect per 10,000 they 98 author per 10,000 26 dialect per 10,000 it 98 author per 10,000 73 dialect per 10,000 fan 82 author per 10,000 1 dialect per 10,000 in 82 author per 10,000 121 dialect per 10,000 family 82 author per 10,000 0 dialect per 10,000 there 82 author per 10,000 8 dialect per 10,000 at 82 author per 10,000 58 dialect per 10,000 telt 65 author per 10,000 1 dialect per 10,000 wid 65 author per 10,000 1 dialect per 10,000 fair 65 author per 10,000 2 dialect per 10,000 jist 65 author per 10,000 8 dialect per 10,000 her 65 author per 10,000 8 dialect per 10,000 so 65 author per 10,000 5 dialect per 10,000 pit 65 author per 10,000 11 dialect per 10,000 plate 65 author per 10,000 0 dialect per 10,000 something 65 author per 10,000 0 dialect per 10,000 be 49 author per 10,000 39 dialect per 10,000 an 49 author per 10,000 358 dialect per 10,000 were 49 author per 10,000 4 dialect per 10,000 ken 49 author per 10,000 3 dialect per 10,000 blether 49 author per 10,000 0 dialect per 10,000 get 49 author per 10,000 9 dialect per 10,000 aboot 49 author per 10,000 27 dialect per 10,000 di 49 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 32 dialect per 10,000 he 49 author per 10,000 62 dialect per 10,000 to 49 author per 10,000 3 dialect per 10,000 bairns 33 author per 10,000 0 dialect per 10,000 fowk 33 author per 10,000 21 dialect per 10,000 free 33 author per 10,000 2 dialect per 10,000 creepy 33 author per 10,000 0 dialect per 10,000 auld 33 author per 10,000 1 dialect per 10,000 mak 33 author per 10,000 10 dialect per 10,000 came 33 author per 10,000 2 dialect per 10,000 food 33 author per 10,000 0 dialect per 10,000 started 33 author per 10,000 0 dialect per 10,000 wrang 33 author per 10,000 3 dialect per 10,000 got 33 author per 10,000 9 dialect per 10,000 wee 33 author per 10,000 27 dialect per 10,000 aul-man 33 author per 10,000 0 dialect per 10,000 foo 33 author per 10,000 0 dialect per 10,000 their 33 author per 10,000 5 dialect per 10,000 doon 33 author per 10,000 28 dialect per 10,000 horror 33 author per 10,000 0 dialect per 10,000 his 33 author per 10,000 25 dialect per 10,000 went 33 author per 10,000 12 dialect per 10,000 stared 33 author per 10,000 0 dialect per 10,000 pinted 33 author per 10,000 0 dialect per 10,000 first 33 author per 10,000 2 dialect per 10,000 sat 33 author per 10,000 1 dialect per 10,000 neeps 33 author per 10,000 0 dialect per 10,000 him 33 author per 10,000 11 dialect per 10,000 makin 33 author per 10,000 1 dialect per 10,000 hiv 33 author per 10,000 0 dialect per 10,000 bit 33 author per 10,000 10 dialect per 10,000 fir 33 author per 10,000 2 dialect per 10,000 them 33 author per 10,000 8 dialect per 10,000 thing 33 author per 10,000 7 dialect per 10,000 sure 33 author per 10,000 4 dialect per 10,000 we 33 author per 10,000 18 dialect per 10,000 awa 33 author per 10,000 17 dialect per 10,000 mosset 33 author per 10,000 0 dialect per 10,000 or 33 author per 10,000 33 dialect per 10,000 meal 33 author per 10,000 0 dialect per 10,000 kent 33 author per 10,000 1 dialect per 10,000 abidy 33 author per 10,000 0 dialect per 10,000 see 33 author per 10,000 16 dialect per 10,000 rest 33 author per 10,000 2 dialect per 10,000 aroon 33 author per 10,000 3 dialect per 10,000 ower 33 author per 10,000 18 dialect per 10,000 then 33 author per 10,000 17 dialect per 10,000 ages 33 author per 10,000 0 dialect per 10,000 dein 33 author per 10,000 0 dialect per 10,000 needed 33 author per 10,000 1 dialect per 10,000 aye 33 author per 10,000 13 dialect per 10,000 oor 16 author per 10,000 15 dialect per 10,000 order 16 author per 10,000 0 dialect per 10,000 smell 16 author per 10,000 0 dialect per 10,000 fancied 16 author per 10,000 0 dialect per 10,000 front 16 author per 10,000 1 dialect per 10,000 waited 16 author per 10,000 0 dialect per 10,000 weel 16 author per 10,000 13 dialect per 10,000 else 16 author per 10,000 1 dialect per 10,000 forkfae 16 author per 10,000 0 dialect per 10,000 runnin 16 author per 10,000 0 dialect per 10,000 crawlie 16 author per 10,000 0 dialect per 10,000 through 16 author per 10,000 3 dialect per 10,000 guid 16 author per 10,000 17 dialect per 10,000 meelie 16 author per 10,000 0 dialect per 10,000 water 16 author per 10,000 1 dialect per 10,000 jimmies 16 author per 10,000 0 dialect per 10,000 hidna 16 author per 10,000 0 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 mooth 16 author per 10,000 3 dialect per 10,000 ordered 16 author per 10,000 0 dialect per 10,000 green 16 author per 10,000 1 dialect per 10,000 mince 16 author per 10,000 0 dialect per 10,000 tatties 16 author per 10,000 0 dialect per 10,000 starving 16 author per 10,000 0 dialect per 10,000 moo 16 author per 10,000 0 dialect per 10,000 winted 16 author per 10,000 0 dialect per 10,000 seemed 16 author per 10,000 0 dialect per 10,000 affa 16 author per 10,000 0 dialect per 10,000 felt 16 author per 10,000 1 dialect per 10,000 hungry 16 author per 10,000 0 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 dampner 16 author per 10,000 0 dialect per 10,000 us 16 author per 10,000 4 dialect per 10,000 nane 16 author per 10,000 3 dialect per 10,000 hale 16 author per 10,000 8 dialect per 10,000 drinks 16 author per 10,000 0 dialect per 10,000 shame 16 author per 10,000 0 dialect per 10,000 cos 16 author per 10,000 0 dialect per 10,000 nicht 16 author per 10,000 7 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 7 dialect per 10,000 this 16 author per 10,000 27 dialect per 10,000 ane 16 author per 10,000 0 dialect per 10,000 widna 16 author per 10,000 0 dialect per 10,000 back 16 author per 10,000 2 dialect per 10,000 served 16 author per 10,000 0 dialect per 10,000 kind 16 author per 10,000 0 dialect per 10,000 hame 16 author per 10,000 10 dialect per 10,000 go 16 author per 10,000 5 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 tripadvisor 16 author per 10,000 0 dialect per 10,000 trelt 16 author per 10,000 0 dialect per 10,000 denner 16 author per 10,000 0 dialect per 10,000 wondering 16 author per 10,000 0 dialect per 10,000 open 16 author per 10,000 1 dialect per 10,000 lookin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 14 dialect per 10,000 eat 16 author per 10,000 2 dialect per 10,000 moos 16 author per 10,000 0 dialect per 10,000 of 16 author per 10,000 2 dialect per 10,000 set 16 author per 10,000 6 dialect per 10,000 drapped 16 author per 10,000 0 dialect per 10,000 fork 16 author per 10,000 0 dialect per 10,000 fleer 16 author per 10,000 0 dialect per 10,000 ok 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 41 dialect per 10,000 crawlies 16 author per 10,000 0 dialect per 10,000 wisna 16 author per 10,000 0 dialect per 10,000 amused 16 author per 10,000 0 dialect per 10,000 took 16 author per 10,000 1 dialect per 10,000 saying 16 author per 10,000 0 dialect per 10,000 joke 16 author per 10,000 0 dialect per 10,000 fine 16 author per 10,000 1 dialect per 10,000 manager 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 0 dialect per 10,000 tried 16 author per 10,000 1 dialect per 10,000 louped 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 crowd 16 author per 10,000 0 dialect per 10,000 door 16 author per 10,000 0 dialect per 10,000 shapes 16 author per 10,000 0 dialect per 10,000 sizes 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 13 dialect per 10,000 headed 16 author per 10,000 0 dialect per 10,000 lugs 16 author per 10,000 1 dialect per 10,000 scarf 16 author per 10,000 0 dialect per 10,000 neck 16 author per 10,000 1 dialect per 10,000 pulled 16 author per 10,000 0 dialect per 10,000 tourie 16 author per 10,000 0 dialect per 10,000 howlin 16 author per 10,000 0 dialect per 10,000 bawlin 16 author per 10,000 0 dialect per 10,000 struggling 16 author per 10,000 0 dialect per 10,000 stan 16 author per 10,000 3 dialect per 10,000 feet 16 author per 10,000 4 dialect per 10,000 looked 16 author per 10,000 0 dialect per 10,000 mannie 16 author per 10,000 0 dialect per 10,000 one 16 author per 10,000 0 dialect per 10,000 group 16 author per 10,000 0 dialect per 10,000 wifies 16 author per 10,000 0 dialect per 10,000 corner 16 author per 10,000 1 dialect per 10,000 haein 16 author per 10,000 2 dialect per 10,000 wrapped 16 author per 10,000 0 dialect per 10,000 jaiket 16 author per 10,000 0 dialect per 10,000 €˜the 16 author per 10,000 0 dialect per 10,000 locals 16 author per 10,000 0 dialect per 10,000 coffin 16 author per 10,000 0 dialect per 10,000 wye 16 author per 10,000 13 dialect per 10,000 ca 16 author per 10,000 0 dialect per 10,000 by 16 author per 10,000 7 dialect per 10,000