A Corpus of 21st Century Scots Texts

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Matthews, Lily


Total words by this author in corpus - 949
Total unique words used by this author in corpus - 418
Ratio of total words to unique words - 2.27
Top ten most common words - the, ah, , an, tae, a, th, wis, in, me,

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 411 author per 10,000 548 dialect per 10,000 ah 327 author per 10,000 87 dialect per 10,000 295 author per 10,000 40 dialect per 10,000 an 295 author per 10,000 206 dialect per 10,000 tae 274 author per 10,000 221 dialect per 10,000 a 232 author per 10,000 260 dialect per 10,000 th 190 author per 10,000 1 dialect per 10,000 wis 169 author per 10,000 104 dialect per 10,000 in 148 author per 10,000 147 dialect per 10,000 me 137 author per 10,000 41 dialect per 10,000 137 author per 10,000 33 dialect per 10,000 fur 126 author per 10,000 24 dialect per 10,000 she 116 author per 10,000 63 dialect per 10,000 as 105 author per 10,000 60 dialect per 10,000 s 105 author per 10,000 38 dialect per 10,000 her 105 author per 10,000 48 dialect per 10,000 it 95 author per 10,000 124 dialect per 10,000 o 84 author per 10,000 183 dialect per 10,000 lassie 74 author per 10,000 3 dialect per 10,000 mah 74 author per 10,000 2 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 16 dialect per 10,000 hoose 63 author per 10,000 7 dialect per 10,000 back 63 author per 10,000 21 dialect per 10,000 he 63 author per 10,000 93 dialect per 10,000 time 63 author per 10,000 18 dialect per 10,000 that 63 author per 10,000 114 dialect per 10,000 eh 63 author per 10,000 7 dialect per 10,000 at 53 author per 10,000 58 dialect per 10,000 doon 53 author per 10,000 18 dialect per 10,000 hud 53 author per 10,000 6 dialect per 10,000 said 53 author per 10,000 49 dialect per 10,000 how 42 author per 10,000 7 dialect per 10,000 be 42 author per 10,000 50 dialect per 10,000 fae 42 author per 10,000 28 dialect per 10,000 - 42 author per 10,000 24 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 27 dialect per 10,000 oor 42 author per 10,000 15 dialect per 10,000 they 42 author per 10,000 44 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 0 dialect per 10,000 floor 42 author per 10,000 0 dialect per 10,000 cuid 42 author per 10,000 3 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 31 dialect per 10,000 see 42 author per 10,000 17 dialect per 10,000 his 32 author per 10,000 53 dialect per 10,000 then 32 author per 10,000 16 dialect per 10,000 up 32 author per 10,000 41 dialect per 10,000 dug 32 author per 10,000 2 dialect per 10,000 get 32 author per 10,000 17 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 9 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 21 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 58 dialect per 10,000 mrs 32 author per 10,000 4 dialect per 10,000 ran 32 author per 10,000 1 dialect per 10,000 we 32 author per 10,000 34 dialect per 10,000 heard 32 author per 10,000 4 dialect per 10,000 to 32 author per 10,000 8 dialect per 10,000 day 32 author per 10,000 13 dialect per 10,000 nae 32 author per 10,000 19 dialect per 10,000 oan 32 author per 10,000 18 dialect per 10,000 wi 32 author per 10,000 62 dialect per 10,000 mr 32 author per 10,000 8 dialect per 10,000 toun 32 author per 10,000 2 dialect per 10,000 oot 32 author per 10,000 41 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 29 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 107 dialect per 10,000 even 21 author per 10,000 11 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 masel 21 author per 10,000 4 dialect per 10,000 kent 21 author per 10,000 6 dialect per 10,000 ainlie 21 author per 10,000 1 dialect per 10,000 shuid 21 author per 10,000 2 dialect per 10,000 tellt 21 author per 10,000 2 dialect per 10,000 wisnae 21 author per 10,000 5 dialect per 10,000 kin 21 author per 10,000 5 dialect per 10,000 when 21 author per 10,000 19 dialect per 10,000 run 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 12 dialect per 10,000 bit 21 author per 10,000 15 dialect per 10,000 street 21 author per 10,000 2 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 1 dialect per 10,000 had 21 author per 10,000 26 dialect per 10,000 gates 21 author per 10,000 0 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 6 dialect per 10,000 that 21 author per 10,000 1 dialect per 10,000 him 21 author per 10,000 30 dialect per 10,000 wha 21 author per 10,000 7 dialect per 10,000 made 21 author per 10,000 8 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 tak 21 author per 10,000 7 dialect per 10,000 face 21 author per 10,000 5 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 0 dialect per 10,000 fun 21 author per 10,000 1 dialect per 10,000 explained 21 author per 10,000 1 dialect per 10,000 hur 21 author per 10,000 4 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 1 dialect per 10,000 body 21 author per 10,000 3 dialect per 10,000 night 21 author per 10,000 2 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 2 dialect per 10,000 happened 21 author per 10,000 1 dialect per 10,000 picked 21 author per 10,000 1 dialect per 10,000 if 21 author per 10,000 19 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 13 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 5 dialect per 10,000 twa 21 author per 10,000 9 dialect per 10,000 intae 21 author per 10,000 19 dialect per 10,000 like 21 author per 10,000 28 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 7 dialect per 10,000 puir 21 author per 10,000 2 dialect per 10,000 wur 21 author per 10,000 5 dialect per 10,000 though 21 author per 10,000 5 dialect per 10,000 future 21 author per 10,000 1 dialect per 10,000 wid 21 author per 10,000 9 dialect per 10,000 but 21 author per 10,000 47 dialect per 10,000 you 21 author per 10,000 17 dialect per 10,000 quickly 21 author per 10,000 1 dialect per 10,000 couldnae 21 author per 10,000 3 dialect per 10,000 ma 21 author per 10,000 51 dialect per 10,000 saw 11 author per 10,000 4 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 4 dialect per 10,000 tap 11 author per 10,000 2 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 1 dialect per 10,000 fowk 11 author per 10,000 13 dialect per 10,000 blew 11 author per 10,000 0 dialect per 10,000 reached 11 author per 10,000 0 dialect per 10,000 trees 11 author per 10,000 1 dialect per 10,000 lang 11 author per 10,000 9 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 2 dialect per 10,000 ve 11 author per 10,000 4 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 0 dialect per 10,000 cut 11 author per 10,000 1 dialect per 10,000 dae 11 author per 10,000 18 dialect per 10,000 thro 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 3 dialect per 10,000 heavy 11 author per 10,000 0 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 1 dialect per 10,000 shop 11 author per 10,000 1 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 1 dialect per 10,000 staun 11 author per 10,000 1 dialect per 10,000 ontae 11 author per 10,000 1 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 13 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 1 dialect per 10,000 mirk 11 author per 10,000 0 dialect per 10,000 is 11 author per 10,000 59 dialect per 10,000 first 11 author per 10,000 9 dialect per 10,000 fat 11 author per 10,000 1 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 5 dialect per 10,000 wee 11 author per 10,000 28 dialect per 10,000 under 11 author per 10,000 2 dialect per 10,000 cover 11 author per 10,000 1 dialect per 10,000 chest 11 author per 10,000 0 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 goin 11 author per 10,000 1 dialect per 10,000 earth 11 author per 10,000 1 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 0 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 0 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000
Doric
the 411 author per 10,000 525 dialect per 10,000 ah 327 author per 10,000 53 dialect per 10,000 295 author per 10,000 31 dialect per 10,000 an 295 author per 10,000 318 dialect per 10,000 tae 274 author per 10,000 170 dialect per 10,000 a 232 author per 10,000 288 dialect per 10,000 th 190 author per 10,000 10 dialect per 10,000 wis 169 author per 10,000 114 dialect per 10,000 in 148 author per 10,000 134 dialect per 10,000 me 137 author per 10,000 21 dialect per 10,000 137 author per 10,000 18 dialect per 10,000 fur 126 author per 10,000 20 dialect per 10,000 she 116 author per 10,000 63 dialect per 10,000 as 105 author per 10,000 54 dialect per 10,000 s 105 author per 10,000 28 dialect per 10,000 her 105 author per 10,000 71 dialect per 10,000 it 95 author per 10,000 109 dialect per 10,000 o 84 author per 10,000 197 dialect per 10,000 lassie 74 author per 10,000 3 dialect per 10,000 mah 74 author per 10,000 0 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 7 dialect per 10,000 hoose 63 author per 10,000 12 dialect per 10,000 back 63 author per 10,000 23 dialect per 10,000 he 63 author per 10,000 104 dialect per 10,000 time 63 author per 10,000 20 dialect per 10,000 that 63 author per 10,000 57 dialect per 10,000 eh 63 author per 10,000 2 dialect per 10,000 at 53 author per 10,000 59 dialect per 10,000 doon 53 author per 10,000 34 dialect per 10,000 hud 53 author per 10,000 2 dialect per 10,000 said 53 author per 10,000 36 dialect per 10,000 how 42 author per 10,000 1 dialect per 10,000 be 42 author per 10,000 42 dialect per 10,000 fae 42 author per 10,000 29 dialect per 10,000 - 42 author per 10,000 29 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 22 dialect per 10,000 oor 42 author per 10,000 9 dialect per 10,000 they 42 author per 10,000 39 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 1 dialect per 10,000 floor 42 author per 10,000 0 dialect per 10,000 cuid 42 author per 10,000 0 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 37 dialect per 10,000 see 42 author per 10,000 21 dialect per 10,000 his 32 author per 10,000 77 dialect per 10,000 then 32 author per 10,000 9 dialect per 10,000 up 32 author per 10,000 49 dialect per 10,000 dug 32 author per 10,000 2 dialect per 10,000 get 32 author per 10,000 14 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 14 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 18 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 80 dialect per 10,000 mrs 32 author per 10,000 2 dialect per 10,000 ran 32 author per 10,000 2 dialect per 10,000 we 32 author per 10,000 20 dialect per 10,000 heard 32 author per 10,000 5 dialect per 10,000 to 32 author per 10,000 9 dialect per 10,000 day 32 author per 10,000 32 dialect per 10,000 nae 32 author per 10,000 50 dialect per 10,000 oan 32 author per 10,000 13 dialect per 10,000 wi 32 author per 10,000 88 dialect per 10,000 mr 32 author per 10,000 1 dialect per 10,000 toun 32 author per 10,000 1 dialect per 10,000 oot 32 author per 10,000 53 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 3 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 44 dialect per 10,000 even 21 author per 10,000 7 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 masel 21 author per 10,000 3 dialect per 10,000 kent 21 author per 10,000 9 dialect per 10,000 ainlie 21 author per 10,000 0 dialect per 10,000 shuid 21 author per 10,000 0 dialect per 10,000 tellt 21 author per 10,000 2 dialect per 10,000 wisnae 21 author per 10,000 2 dialect per 10,000 kin 21 author per 10,000 1 dialect per 10,000 when 21 author per 10,000 2 dialect per 10,000 run 21 author per 10,000 1 dialect per 10,000 wey 21 author per 10,000 1 dialect per 10,000 bit 21 author per 10,000 49 dialect per 10,000 street 21 author per 10,000 2 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 10 dialect per 10,000 had 21 author per 10,000 2 dialect per 10,000 gates 21 author per 10,000 0 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 6 dialect per 10,000 that 21 author per 10,000 0 dialect per 10,000 him 21 author per 10,000 36 dialect per 10,000 wha 21 author per 10,000 1 dialect per 10,000 made 21 author per 10,000 9 dialect per 10,000 ower 21 author per 10,000 28 dialect per 10,000 tak 21 author per 10,000 9 dialect per 10,000 face 21 author per 10,000 8 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 0 dialect per 10,000 fun 21 author per 10,000 3 dialect per 10,000 explained 21 author per 10,000 0 dialect per 10,000 hur 21 author per 10,000 0 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 1 dialect per 10,000 body 21 author per 10,000 3 dialect per 10,000 night 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 2 dialect per 10,000 happened 21 author per 10,000 2 dialect per 10,000 picked 21 author per 10,000 1 dialect per 10,000 if 21 author per 10,000 16 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 11 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 1 dialect per 10,000 twa 21 author per 10,000 20 dialect per 10,000 intae 21 author per 10,000 12 dialect per 10,000 like 21 author per 10,000 42 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 4 dialect per 10,000 puir 21 author per 10,000 1 dialect per 10,000 wur 21 author per 10,000 1 dialect per 10,000 though 21 author per 10,000 3 dialect per 10,000 future 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 18 dialect per 10,000 but 21 author per 10,000 14 dialect per 10,000 you 21 author per 10,000 21 dialect per 10,000 quickly 21 author per 10,000 0 dialect per 10,000 couldnae 21 author per 10,000 1 dialect per 10,000 ma 21 author per 10,000 47 dialect per 10,000 saw 11 author per 10,000 4 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 2 dialect per 10,000 tap 11 author per 10,000 4 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 16 dialect per 10,000 blew 11 author per 10,000 1 dialect per 10,000 reached 11 author per 10,000 1 dialect per 10,000 trees 11 author per 10,000 2 dialect per 10,000 lang 11 author per 10,000 12 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 0 dialect per 10,000 ve 11 author per 10,000 3 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 1 dialect per 10,000 cut 11 author per 10,000 2 dialect per 10,000 dae 11 author per 10,000 4 dialect per 10,000 thro 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 1 dialect per 10,000 heavy 11 author per 10,000 1 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 1 dialect per 10,000 shop 11 author per 10,000 1 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 1 dialect per 10,000 staun 11 author per 10,000 0 dialect per 10,000 ontae 11 author per 10,000 1 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 9 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 1 dialect per 10,000 mirk 11 author per 10,000 0 dialect per 10,000 is 11 author per 10,000 45 dialect per 10,000 first 11 author per 10,000 8 dialect per 10,000 fat 11 author per 10,000 1 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 2 dialect per 10,000 wee 11 author per 10,000 19 dialect per 10,000 under 11 author per 10,000 1 dialect per 10,000 cover 11 author per 10,000 0 dialect per 10,000 chest 11 author per 10,000 1 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 13 dialect per 10,000 goin 11 author per 10,000 1 dialect per 10,000 earth 11 author per 10,000 1 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 0 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 0 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000
Shetland
the 411 author per 10,000 26 dialect per 10,000 ah 327 author per 10,000 1 dialect per 10,000 295 author per 10,000 21 dialect per 10,000 an 295 author per 10,000 342 dialect per 10,000 tae 274 author per 10,000 58 dialect per 10,000 a 232 author per 10,000 267 dialect per 10,000 th 190 author per 10,000 0 dialect per 10,000 wis 169 author per 10,000 182 dialect per 10,000 in 148 author per 10,000 95 dialect per 10,000 me 137 author per 10,000 49 dialect per 10,000 137 author per 10,000 3 dialect per 10,000 fur 126 author per 10,000 35 dialect per 10,000 she 116 author per 10,000 5 dialect per 10,000 as 105 author per 10,000 78 dialect per 10,000 s 105 author per 10,000 12 dialect per 10,000 her 105 author per 10,000 72 dialect per 10,000 it 95 author per 10,000 69 dialect per 10,000 o 84 author per 10,000 146 dialect per 10,000 lassie 74 author per 10,000 0 dialect per 10,000 mah 74 author per 10,000 0 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 7 dialect per 10,000 hoose 63 author per 10,000 10 dialect per 10,000 back 63 author per 10,000 20 dialect per 10,000 he 63 author per 10,000 129 dialect per 10,000 time 63 author per 10,000 23 dialect per 10,000 that 63 author per 10,000 5 dialect per 10,000 eh 63 author per 10,000 0 dialect per 10,000 at 53 author per 10,000 116 dialect per 10,000 doon 53 author per 10,000 25 dialect per 10,000 hud 53 author per 10,000 0 dialect per 10,000 said 53 author per 10,000 79 dialect per 10,000 how 42 author per 10,000 1 dialect per 10,000 be 42 author per 10,000 55 dialect per 10,000 fae 42 author per 10,000 35 dialect per 10,000 - 42 author per 10,000 52 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 2 dialect per 10,000 oor 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 2 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 1 dialect per 10,000 floor 42 author per 10,000 0 dialect per 10,000 cuid 42 author per 10,000 0 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 42 dialect per 10,000 see 42 author per 10,000 22 dialect per 10,000 his 32 author per 10,000 61 dialect per 10,000 then 32 author per 10,000 1 dialect per 10,000 up 32 author per 10,000 46 dialect per 10,000 dug 32 author per 10,000 2 dialect per 10,000 get 32 author per 10,000 9 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 15 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 24 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 0 dialect per 10,000 mrs 32 author per 10,000 0 dialect per 10,000 ran 32 author per 10,000 2 dialect per 10,000 we 32 author per 10,000 39 dialect per 10,000 heard 32 author per 10,000 7 dialect per 10,000 to 32 author per 10,000 14 dialect per 10,000 day 32 author per 10,000 21 dialect per 10,000 nae 32 author per 10,000 26 dialect per 10,000 oan 32 author per 10,000 0 dialect per 10,000 wi 32 author per 10,000 94 dialect per 10,000 mr 32 author per 10,000 0 dialect per 10,000 toun 32 author per 10,000 0 dialect per 10,000 oot 32 author per 10,000 46 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 41 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 20 dialect per 10,000 even 21 author per 10,000 9 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 masel 21 author per 10,000 0 dialect per 10,000 kent 21 author per 10,000 11 dialect per 10,000 ainlie 21 author per 10,000 0 dialect per 10,000 shuid 21 author per 10,000 0 dialect per 10,000 tellt 21 author per 10,000 0 dialect per 10,000 wisnae 21 author per 10,000 0 dialect per 10,000 kin 21 author per 10,000 1 dialect per 10,000 when 21 author per 10,000 4 dialect per 10,000 run 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 bit 21 author per 10,000 43 dialect per 10,000 street 21 author per 10,000 0 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 4 dialect per 10,000 had 21 author per 10,000 4 dialect per 10,000 gates 21 author per 10,000 0 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 9 dialect per 10,000 that 21 author per 10,000 0 dialect per 10,000 him 21 author per 10,000 59 dialect per 10,000 wha 21 author per 10,000 5 dialect per 10,000 made 21 author per 10,000 1 dialect per 10,000 ower 21 author per 10,000 28 dialect per 10,000 tak 21 author per 10,000 14 dialect per 10,000 face 21 author per 10,000 7 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 0 dialect per 10,000 fun 21 author per 10,000 3 dialect per 10,000 explained 21 author per 10,000 0 dialect per 10,000 hur 21 author per 10,000 0 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 1 dialect per 10,000 body 21 author per 10,000 5 dialect per 10,000 night 21 author per 10,000 7 dialect per 10,000 sae 21 author per 10,000 8 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 0 dialect per 10,000 happened 21 author per 10,000 2 dialect per 10,000 picked 21 author per 10,000 0 dialect per 10,000 if 21 author per 10,000 29 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 8 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 10 dialect per 10,000 intae 21 author per 10,000 7 dialect per 10,000 like 21 author per 10,000 3 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 0 dialect per 10,000 puir 21 author per 10,000 0 dialect per 10,000 wur 21 author per 10,000 0 dialect per 10,000 though 21 author per 10,000 2 dialect per 10,000 future 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 44 dialect per 10,000 but 21 author per 10,000 29 dialect per 10,000 you 21 author per 10,000 59 dialect per 10,000 quickly 21 author per 10,000 0 dialect per 10,000 couldnae 21 author per 10,000 0 dialect per 10,000 ma 21 author per 10,000 0 dialect per 10,000 saw 11 author per 10,000 1 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 1 dialect per 10,000 tap 11 author per 10,000 2 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 0 dialect per 10,000 blew 11 author per 10,000 1 dialect per 10,000 reached 11 author per 10,000 0 dialect per 10,000 trees 11 author per 10,000 1 dialect per 10,000 lang 11 author per 10,000 11 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 0 dialect per 10,000 ve 11 author per 10,000 1 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 0 dialect per 10,000 cut 11 author per 10,000 1 dialect per 10,000 dae 11 author per 10,000 1 dialect per 10,000 thro 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 1 dialect per 10,000 heavy 11 author per 10,000 0 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 0 dialect per 10,000 shop 11 author per 10,000 2 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 1 dialect per 10,000 staun 11 author per 10,000 0 dialect per 10,000 ontae 11 author per 10,000 0 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 0 dialect per 10,000 mirk 11 author per 10,000 1 dialect per 10,000 is 11 author per 10,000 58 dialect per 10,000 first 11 author per 10,000 12 dialect per 10,000 fat 11 author per 10,000 0 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 10 dialect per 10,000 wee 11 author per 10,000 0 dialect per 10,000 under 11 author per 10,000 2 dialect per 10,000 cover 11 author per 10,000 0 dialect per 10,000 chest 11 author per 10,000 0 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 22 dialect per 10,000 goin 11 author per 10,000 1 dialect per 10,000 earth 11 author per 10,000 0 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 0 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 0 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000
Orkney
the 411 author per 10,000 554 dialect per 10,000 ah 327 author per 10,000 2 dialect per 10,000 295 author per 10,000 19 dialect per 10,000 an 295 author per 10,000 168 dialect per 10,000 tae 274 author per 10,000 224 dialect per 10,000 a 232 author per 10,000 295 dialect per 10,000 th 190 author per 10,000 1 dialect per 10,000 wis 169 author per 10,000 89 dialect per 10,000 in 148 author per 10,000 141 dialect per 10,000 me 137 author per 10,000 102 dialect per 10,000 137 author per 10,000 7 dialect per 10,000 fur 126 author per 10,000 44 dialect per 10,000 she 116 author per 10,000 7 dialect per 10,000 as 105 author per 10,000 54 dialect per 10,000 s 105 author per 10,000 24 dialect per 10,000 her 105 author per 10,000 58 dialect per 10,000 it 95 author per 10,000 25 dialect per 10,000 o 84 author per 10,000 194 dialect per 10,000 lassie 74 author per 10,000 0 dialect per 10,000 mah 74 author per 10,000 0 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 15 dialect per 10,000 hoose 63 author per 10,000 11 dialect per 10,000 back 63 author per 10,000 25 dialect per 10,000 he 63 author per 10,000 102 dialect per 10,000 time 63 author per 10,000 18 dialect per 10,000 that 63 author per 10,000 84 dialect per 10,000 eh 63 author per 10,000 0 dialect per 10,000 at 53 author per 10,000 56 dialect per 10,000 doon 53 author per 10,000 25 dialect per 10,000 hud 53 author per 10,000 0 dialect per 10,000 said 53 author per 10,000 18 dialect per 10,000 how 42 author per 10,000 1 dialect per 10,000 be 42 author per 10,000 44 dialect per 10,000 fae 42 author per 10,000 35 dialect per 10,000 - 42 author per 10,000 87 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 20 dialect per 10,000 oor 42 author per 10,000 2 dialect per 10,000 they 42 author per 10,000 35 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 0 dialect per 10,000 floor 42 author per 10,000 3 dialect per 10,000 cuid 42 author per 10,000 0 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 28 dialect per 10,000 see 42 author per 10,000 15 dialect per 10,000 his 32 author per 10,000 68 dialect per 10,000 then 32 author per 10,000 18 dialect per 10,000 up 32 author per 10,000 26 dialect per 10,000 dug 32 author per 10,000 0 dialect per 10,000 get 32 author per 10,000 11 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 12 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 13 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 15 dialect per 10,000 mrs 32 author per 10,000 3 dialect per 10,000 ran 32 author per 10,000 1 dialect per 10,000 we 32 author per 10,000 35 dialect per 10,000 heard 32 author per 10,000 2 dialect per 10,000 to 32 author per 10,000 9 dialect per 10,000 day 32 author per 10,000 22 dialect per 10,000 nae 32 author per 10,000 3 dialect per 10,000 oan 32 author per 10,000 2 dialect per 10,000 wi 32 author per 10,000 60 dialect per 10,000 mr 32 author per 10,000 5 dialect per 10,000 toun 32 author per 10,000 0 dialect per 10,000 oot 32 author per 10,000 50 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 32 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 203 dialect per 10,000 even 21 author per 10,000 7 dialect per 10,000 efter 21 author per 10,000 5 dialect per 10,000 masel 21 author per 10,000 0 dialect per 10,000 kent 21 author per 10,000 6 dialect per 10,000 ainlie 21 author per 10,000 0 dialect per 10,000 shuid 21 author per 10,000 0 dialect per 10,000 tellt 21 author per 10,000 1 dialect per 10,000 wisnae 21 author per 10,000 0 dialect per 10,000 kin 21 author per 10,000 1 dialect per 10,000 when 21 author per 10,000 25 dialect per 10,000 run 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 12 dialect per 10,000 bit 21 author per 10,000 49 dialect per 10,000 street 21 author per 10,000 2 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 1 dialect per 10,000 had 21 author per 10,000 3 dialect per 10,000 gates 21 author per 10,000 0 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 7 dialect per 10,000 that 21 author per 10,000 0 dialect per 10,000 him 21 author per 10,000 24 dialect per 10,000 wha 21 author per 10,000 4 dialect per 10,000 made 21 author per 10,000 2 dialect per 10,000 ower 21 author per 10,000 19 dialect per 10,000 tak 21 author per 10,000 12 dialect per 10,000 face 21 author per 10,000 7 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 1 dialect per 10,000 fun 21 author per 10,000 1 dialect per 10,000 explained 21 author per 10,000 0 dialect per 10,000 hur 21 author per 10,000 0 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 1 dialect per 10,000 body 21 author per 10,000 7 dialect per 10,000 night 21 author per 10,000 11 dialect per 10,000 sae 21 author per 10,000 1 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 0 dialect per 10,000 happened 21 author per 10,000 1 dialect per 10,000 picked 21 author per 10,000 1 dialect per 10,000 if 21 author per 10,000 15 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 13 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 11 dialect per 10,000 intae 21 author per 10,000 17 dialect per 10,000 like 21 author per 10,000 27 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 0 dialect per 10,000 puir 21 author per 10,000 2 dialect per 10,000 wur 21 author per 10,000 7 dialect per 10,000 though 21 author per 10,000 4 dialect per 10,000 future 21 author per 10,000 2 dialect per 10,000 wid 21 author per 10,000 21 dialect per 10,000 but 21 author per 10,000 35 dialect per 10,000 you 21 author per 10,000 31 dialect per 10,000 quickly 21 author per 10,000 0 dialect per 10,000 couldnae 21 author per 10,000 0 dialect per 10,000 ma 21 author per 10,000 1 dialect per 10,000 saw 11 author per 10,000 0 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 1 dialect per 10,000 tap 11 author per 10,000 2 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 0 dialect per 10,000 blew 11 author per 10,000 0 dialect per 10,000 reached 11 author per 10,000 0 dialect per 10,000 trees 11 author per 10,000 2 dialect per 10,000 lang 11 author per 10,000 2 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 0 dialect per 10,000 ve 11 author per 10,000 1 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 0 dialect per 10,000 cut 11 author per 10,000 2 dialect per 10,000 dae 11 author per 10,000 8 dialect per 10,000 thro 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 1 dialect per 10,000 heavy 11 author per 10,000 1 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 0 dialect per 10,000 shop 11 author per 10,000 1 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 2 dialect per 10,000 staun 11 author per 10,000 0 dialect per 10,000 ontae 11 author per 10,000 1 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 1 dialect per 10,000 mirk 11 author per 10,000 0 dialect per 10,000 is 11 author per 10,000 74 dialect per 10,000 first 11 author per 10,000 7 dialect per 10,000 fat 11 author per 10,000 1 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 0 dialect per 10,000 wee 11 author per 10,000 1 dialect per 10,000 under 11 author per 10,000 2 dialect per 10,000 cover 11 author per 10,000 1 dialect per 10,000 chest 11 author per 10,000 1 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 goin 11 author per 10,000 0 dialect per 10,000 earth 11 author per 10,000 1 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 0 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 0 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000
Southern
the 411 author per 10,000 463 dialect per 10,000 ah 327 author per 10,000 80 dialect per 10,000 295 author per 10,000 11 dialect per 10,000 an 295 author per 10,000 303 dialect per 10,000 tae 274 author per 10,000 206 dialect per 10,000 a 232 author per 10,000 239 dialect per 10,000 th 190 author per 10,000 216 dialect per 10,000 wis 169 author per 10,000 57 dialect per 10,000 in 148 author per 10,000 111 dialect per 10,000 me 137 author per 10,000 13 dialect per 10,000 137 author per 10,000 10 dialect per 10,000 fur 126 author per 10,000 38 dialect per 10,000 she 116 author per 10,000 77 dialect per 10,000 as 105 author per 10,000 52 dialect per 10,000 s 105 author per 10,000 32 dialect per 10,000 her 105 author per 10,000 15 dialect per 10,000 it 95 author per 10,000 60 dialect per 10,000 o 84 author per 10,000 191 dialect per 10,000 lassie 74 author per 10,000 3 dialect per 10,000 mah 74 author per 10,000 0 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 7 dialect per 10,000 hoose 63 author per 10,000 20 dialect per 10,000 back 63 author per 10,000 19 dialect per 10,000 he 63 author per 10,000 15 dialect per 10,000 time 63 author per 10,000 15 dialect per 10,000 that 63 author per 10,000 61 dialect per 10,000 eh 63 author per 10,000 1 dialect per 10,000 at 53 author per 10,000 70 dialect per 10,000 doon 53 author per 10,000 25 dialect per 10,000 hud 53 author per 10,000 4 dialect per 10,000 said 53 author per 10,000 62 dialect per 10,000 how 42 author per 10,000 10 dialect per 10,000 be 42 author per 10,000 12 dialect per 10,000 fae 42 author per 10,000 6 dialect per 10,000 - 42 author per 10,000 28 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 16 dialect per 10,000 oor 42 author per 10,000 12 dialect per 10,000 they 42 author per 10,000 36 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 2 dialect per 10,000 floor 42 author per 10,000 0 dialect per 10,000 cuid 42 author per 10,000 5 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 28 dialect per 10,000 see 42 author per 10,000 6 dialect per 10,000 his 32 author per 10,000 38 dialect per 10,000 then 32 author per 10,000 18 dialect per 10,000 up 32 author per 10,000 41 dialect per 10,000 dug 32 author per 10,000 1 dialect per 10,000 get 32 author per 10,000 11 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 15 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 33 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 31 dialect per 10,000 mrs 32 author per 10,000 7 dialect per 10,000 ran 32 author per 10,000 1 dialect per 10,000 we 32 author per 10,000 18 dialect per 10,000 heard 32 author per 10,000 6 dialect per 10,000 to 32 author per 10,000 3 dialect per 10,000 day 32 author per 10,000 16 dialect per 10,000 nae 32 author per 10,000 26 dialect per 10,000 oan 32 author per 10,000 41 dialect per 10,000 wi 32 author per 10,000 71 dialect per 10,000 mr 32 author per 10,000 9 dialect per 10,000 toun 32 author per 10,000 4 dialect per 10,000 oot 32 author per 10,000 34 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 29 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 21 dialect per 10,000 even 21 author per 10,000 6 dialect per 10,000 efter 21 author per 10,000 14 dialect per 10,000 masel 21 author per 10,000 5 dialect per 10,000 kent 21 author per 10,000 12 dialect per 10,000 ainlie 21 author per 10,000 0 dialect per 10,000 shuid 21 author per 10,000 0 dialect per 10,000 tellt 21 author per 10,000 0 dialect per 10,000 wisnae 21 author per 10,000 3 dialect per 10,000 kin 21 author per 10,000 2 dialect per 10,000 when 21 author per 10,000 17 dialect per 10,000 run 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 4 dialect per 10,000 bit 21 author per 10,000 18 dialect per 10,000 street 21 author per 10,000 1 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 2 dialect per 10,000 had 21 author per 10,000 2 dialect per 10,000 gates 21 author per 10,000 2 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 7 dialect per 10,000 that 21 author per 10,000 0 dialect per 10,000 him 21 author per 10,000 13 dialect per 10,000 wha 21 author per 10,000 2 dialect per 10,000 made 21 author per 10,000 6 dialect per 10,000 ower 21 author per 10,000 16 dialect per 10,000 tak 21 author per 10,000 8 dialect per 10,000 face 21 author per 10,000 6 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 0 dialect per 10,000 fun 21 author per 10,000 2 dialect per 10,000 explained 21 author per 10,000 0 dialect per 10,000 hur 21 author per 10,000 32 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 0 dialect per 10,000 body 21 author per 10,000 1 dialect per 10,000 night 21 author per 10,000 1 dialect per 10,000 sae 21 author per 10,000 26 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 1 dialect per 10,000 happened 21 author per 10,000 1 dialect per 10,000 picked 21 author per 10,000 1 dialect per 10,000 if 21 author per 10,000 16 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 5 dialect per 10,000 twa 21 author per 10,000 3 dialect per 10,000 intae 21 author per 10,000 13 dialect per 10,000 like 21 author per 10,000 7 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 13 dialect per 10,000 puir 21 author per 10,000 1 dialect per 10,000 wur 21 author per 10,000 29 dialect per 10,000 though 21 author per 10,000 1 dialect per 10,000 future 21 author per 10,000 1 dialect per 10,000 wid 21 author per 10,000 3 dialect per 10,000 but 21 author per 10,000 39 dialect per 10,000 you 21 author per 10,000 3 dialect per 10,000 quickly 21 author per 10,000 0 dialect per 10,000 couldnae 21 author per 10,000 3 dialect per 10,000 ma 21 author per 10,000 56 dialect per 10,000 saw 11 author per 10,000 3 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 1 dialect per 10,000 tap 11 author per 10,000 2 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 3 dialect per 10,000 blew 11 author per 10,000 1 dialect per 10,000 reached 11 author per 10,000 0 dialect per 10,000 trees 11 author per 10,000 3 dialect per 10,000 lang 11 author per 10,000 12 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 0 dialect per 10,000 ve 11 author per 10,000 4 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 0 dialect per 10,000 cut 11 author per 10,000 2 dialect per 10,000 dae 11 author per 10,000 13 dialect per 10,000 thro 11 author per 10,000 3 dialect per 10,000 til 11 author per 10,000 21 dialect per 10,000 heavy 11 author per 10,000 1 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 1 dialect per 10,000 shop 11 author per 10,000 0 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 1 dialect per 10,000 staun 11 author per 10,000 1 dialect per 10,000 ontae 11 author per 10,000 1 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 21 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 0 dialect per 10,000 mirk 11 author per 10,000 1 dialect per 10,000 is 11 author per 10,000 60 dialect per 10,000 first 11 author per 10,000 2 dialect per 10,000 fat 11 author per 10,000 0 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 20 dialect per 10,000 wee 11 author per 10,000 24 dialect per 10,000 under 11 author per 10,000 3 dialect per 10,000 cover 11 author per 10,000 0 dialect per 10,000 chest 11 author per 10,000 0 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 goin 11 author per 10,000 0 dialect per 10,000 earth 11 author per 10,000 1 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 0 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 1 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000
Ulster
the 411 author per 10,000 209 dialect per 10,000 ah 327 author per 10,000 16 dialect per 10,000 295 author per 10,000 17 dialect per 10,000 an 295 author per 10,000 413 dialect per 10,000 tae 274 author per 10,000 252 dialect per 10,000 a 232 author per 10,000 292 dialect per 10,000 th 190 author per 10,000 0 dialect per 10,000 wis 169 author per 10,000 1 dialect per 10,000 in 148 author per 10,000 102 dialect per 10,000 me 137 author per 10,000 24 dialect per 10,000 137 author per 10,000 5 dialect per 10,000 fur 126 author per 10,000 51 dialect per 10,000 she 116 author per 10,000 16 dialect per 10,000 as 105 author per 10,000 30 dialect per 10,000 s 105 author per 10,000 14 dialect per 10,000 her 105 author per 10,000 8 dialect per 10,000 it 95 author per 10,000 78 dialect per 10,000 o 84 author per 10,000 249 dialect per 10,000 lassie 74 author per 10,000 0 dialect per 10,000 mah 74 author per 10,000 0 dialect per 10,000 howff 63 author per 10,000 0 dialect per 10,000 by 63 author per 10,000 9 dialect per 10,000 hoose 63 author per 10,000 16 dialect per 10,000 back 63 author per 10,000 2 dialect per 10,000 he 63 author per 10,000 77 dialect per 10,000 time 63 author per 10,000 14 dialect per 10,000 that 63 author per 10,000 81 dialect per 10,000 eh 63 author per 10,000 0 dialect per 10,000 at 53 author per 10,000 45 dialect per 10,000 doon 53 author per 10,000 33 dialect per 10,000 hud 53 author per 10,000 0 dialect per 10,000 said 53 author per 10,000 35 dialect per 10,000 how 42 author per 10,000 0 dialect per 10,000 be 42 author per 10,000 47 dialect per 10,000 fae 42 author per 10,000 10 dialect per 10,000 - 42 author per 10,000 22 dialect per 10,000 guest 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 6 dialect per 10,000 oor 42 author per 10,000 12 dialect per 10,000 they 42 author per 10,000 24 dialect per 10,000 baxter 42 author per 10,000 0 dialect per 10,000 cook 42 author per 10,000 1 dialect per 10,000 floor 42 author per 10,000 0 dialect per 10,000 cuid 42 author per 10,000 0 dialect per 10,000 lecky 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 30 dialect per 10,000 see 42 author per 10,000 18 dialect per 10,000 his 32 author per 10,000 22 dialect per 10,000 then 32 author per 10,000 19 dialect per 10,000 up 32 author per 10,000 36 dialect per 10,000 dug 32 author per 10,000 1 dialect per 10,000 get 32 author per 10,000 8 dialect per 10,000 study 32 author per 10,000 0 dialect per 10,000 afore 32 author per 10,000 14 dialect per 10,000 lightning 32 author per 10,000 0 dialect per 10,000 hae 32 author per 10,000 57 dialect per 10,000 cakes 32 author per 10,000 0 dialect per 10,000 ye 32 author per 10,000 86 dialect per 10,000 mrs 32 author per 10,000 0 dialect per 10,000 ran 32 author per 10,000 0 dialect per 10,000 we 32 author per 10,000 17 dialect per 10,000 heard 32 author per 10,000 0 dialect per 10,000 to 32 author per 10,000 2 dialect per 10,000 day 32 author per 10,000 17 dialect per 10,000 nae 32 author per 10,000 24 dialect per 10,000 oan 32 author per 10,000 13 dialect per 10,000 wi 32 author per 10,000 74 dialect per 10,000 mr 32 author per 10,000 0 dialect per 10,000 toun 32 author per 10,000 0 dialect per 10,000 oot 32 author per 10,000 56 dialect per 10,000 donaldson 32 author per 10,000 0 dialect per 10,000 whit 32 author per 10,000 2 dialect per 10,000 fisher 32 author per 10,000 0 dialect per 10,000 and 21 author per 10,000 6 dialect per 10,000 even 21 author per 10,000 4 dialect per 10,000 efter 21 author per 10,000 6 dialect per 10,000 masel 21 author per 10,000 1 dialect per 10,000 kent 21 author per 10,000 1 dialect per 10,000 ainlie 21 author per 10,000 0 dialect per 10,000 shuid 21 author per 10,000 0 dialect per 10,000 tellt 21 author per 10,000 0 dialect per 10,000 wisnae 21 author per 10,000 0 dialect per 10,000 kin 21 author per 10,000 1 dialect per 10,000 when 21 author per 10,000 2 dialect per 10,000 run 21 author per 10,000 2 dialect per 10,000 wey 21 author per 10,000 0 dialect per 10,000 bit 21 author per 10,000 7 dialect per 10,000 street 21 author per 10,000 1 dialect per 10,000 reform 21 author per 10,000 0 dialect per 10,000 drookit 21 author per 10,000 0 dialect per 10,000 win 21 author per 10,000 0 dialect per 10,000 had 21 author per 10,000 17 dialect per 10,000 gates 21 author per 10,000 1 dialect per 10,000 brought 21 author per 10,000 0 dialect per 10,000 life 21 author per 10,000 5 dialect per 10,000 that 21 author per 10,000 0 dialect per 10,000 him 21 author per 10,000 11 dialect per 10,000 wha 21 author per 10,000 11 dialect per 10,000 made 21 author per 10,000 7 dialect per 10,000 ower 21 author per 10,000 19 dialect per 10,000 tak 21 author per 10,000 16 dialect per 10,000 face 21 author per 10,000 3 dialect per 10,000 searchin 21 author per 10,000 0 dialect per 10,000 struck 21 author per 10,000 1 dialect per 10,000 fun 21 author per 10,000 7 dialect per 10,000 explained 21 author per 10,000 0 dialect per 10,000 hur 21 author per 10,000 0 dialect per 10,000 laurence 21 author per 10,000 0 dialect per 10,000 wait 21 author per 10,000 1 dialect per 10,000 body 21 author per 10,000 1 dialect per 10,000 night 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 28 dialect per 10,000 twas 21 author per 10,000 0 dialect per 10,000 neist 21 author per 10,000 0 dialect per 10,000 happened 21 author per 10,000 0 dialect per 10,000 picked 21 author per 10,000 0 dialect per 10,000 if 21 author per 10,000 15 dialect per 10,000 thunder 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 carriage 21 author per 10,000 0 dialect per 10,000 spark 21 author per 10,000 0 dialect per 10,000 mcquarry 21 author per 10,000 0 dialect per 10,000 cannae 21 author per 10,000 9 dialect per 10,000 twa 21 author per 10,000 12 dialect per 10,000 intae 21 author per 10,000 11 dialect per 10,000 like 21 author per 10,000 10 dialect per 10,000 lamps 21 author per 10,000 0 dialect per 10,000 bessie 21 author per 10,000 0 dialect per 10,000 went 21 author per 10,000 14 dialect per 10,000 puir 21 author per 10,000 2 dialect per 10,000 wur 21 author per 10,000 19 dialect per 10,000 though 21 author per 10,000 1 dialect per 10,000 future 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 1 dialect per 10,000 but 21 author per 10,000 49 dialect per 10,000 you 21 author per 10,000 5 dialect per 10,000 quickly 21 author per 10,000 1 dialect per 10,000 couldnae 21 author per 10,000 0 dialect per 10,000 ma 21 author per 10,000 25 dialect per 10,000 saw 11 author per 10,000 1 dialect per 10,000 quicker 11 author per 10,000 0 dialect per 10,000 murdered 11 author per 10,000 0 dialect per 10,000 re 11 author per 10,000 1 dialect per 10,000 tap 11 author per 10,000 2 dialect per 10,000 nah 11 author per 10,000 0 dialect per 10,000 crackin 11 author per 10,000 0 dialect per 10,000 dundee 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 24 dialect per 10,000 blew 11 author per 10,000 0 dialect per 10,000 reached 11 author per 10,000 0 dialect per 10,000 trees 11 author per 10,000 2 dialect per 10,000 lang 11 author per 10,000 13 dialect per 10,000 graveyard 11 author per 10,000 0 dialect per 10,000 moanin 11 author per 10,000 0 dialect per 10,000 whisperin 11 author per 10,000 0 dialect per 10,000 meh 11 author per 10,000 0 dialect per 10,000 ve 11 author per 10,000 0 dialect per 10,000 stairted 11 author per 10,000 0 dialect per 10,000 iron 11 author per 10,000 0 dialect per 10,000 cut 11 author per 10,000 2 dialect per 10,000 dae 11 author per 10,000 27 dialect per 10,000 thro 11 author per 10,000 0 dialect per 10,000 til 11 author per 10,000 22 dialect per 10,000 heavy 11 author per 10,000 0 dialect per 10,000 apart 11 author per 10,000 0 dialect per 10,000 service 11 author per 10,000 0 dialect per 10,000 shop 11 author per 10,000 0 dialect per 10,000 bolted 11 author per 10,000 0 dialect per 10,000 neck 11 author per 10,000 1 dialect per 10,000 staun 11 author per 10,000 0 dialect per 10,000 ontae 11 author per 10,000 1 dialect per 10,000 witch 11 author per 10,000 0 dialect per 10,000 hammerin 11 author per 10,000 0 dialect per 10,000 shelter 11 author per 10,000 0 dialect per 10,000 auld 11 author per 10,000 1 dialect per 10,000 onto 11 author per 10,000 0 dialect per 10,000 splashed 11 author per 10,000 0 dialect per 10,000 realised 11 author per 10,000 0 dialect per 10,000 mirk 11 author per 10,000 0 dialect per 10,000 is 11 author per 10,000 21 dialect per 10,000 first 11 author per 10,000 1 dialect per 10,000 fat 11 author per 10,000 0 dialect per 10,000 smur 11 author per 10,000 0 dialect per 10,000 droplet 11 author per 10,000 0 dialect per 10,000 lik 11 author per 10,000 7 dialect per 10,000 wee 11 author per 10,000 26 dialect per 10,000 under 11 author per 10,000 0 dialect per 10,000 cover 11 author per 10,000 0 dialect per 10,000 chest 11 author per 10,000 0 dialect per 10,000 awnin 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 18 dialect per 10,000 goin 11 author per 10,000 0 dialect per 10,000 earth 11 author per 10,000 1 dialect per 10,000 clutchin 11 author per 10,000 0 dialect per 10,000 core 11 author per 10,000 1 dialect per 10,000 massed 11 author per 10,000 0 dialect per 10,000 clouds 11 author per 10,000 0 dialect per 10,000 bullets 11 author per 10,000 0 dialect per 10,000 erheid 11 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000