A Corpus of 21st Century Scots Texts

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Cunningham, Lucy


Total words by this author in corpus - 2,603
Total unique words used by this author in corpus - 691
Ratio of total words to unique words - 3.767
Top ten most common words - a, the, and, wis, tae, ma, me, da, that, it,

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 584 author per 10,000 266 dialect per 10,000 the 503 author per 10,000 565 dialect per 10,000 and 384 author per 10,000 93 dialect per 10,000 wis 223 author per 10,000 97 dialect per 10,000 tae 223 author per 10,000 211 dialect per 10,000 ma 173 author per 10,000 51 dialect per 10,000 me 165 author per 10,000 39 dialect per 10,000 da 161 author per 10,000 3 dialect per 10,000 that 158 author per 10,000 106 dialect per 10,000 it 127 author per 10,000 116 dialect per 10,000 in 115 author per 10,000 147 dialect per 10,000 he 104 author per 10,000 87 dialect per 10,000 of 100 author per 10,000 11 dialect per 10,000 them 100 author per 10,000 17 dialect per 10,000 but 96 author per 10,000 48 dialect per 10,000 wee 88 author per 10,000 29 dialect per 10,000 didnae 88 author per 10,000 7 dialect per 10,000 aboot 81 author per 10,000 29 dialect per 10,000 like 81 author per 10,000 28 dialect per 10,000 were 77 author per 10,000 15 dialect per 10,000 when 77 author per 10,000 18 dialect per 10,000 all 73 author per 10,000 2 dialect per 10,000 on 65 author per 10,000 55 dialect per 10,000 oot 65 author per 10,000 40 dialect per 10,000 jist 65 author per 10,000 20 dialect per 10,000 fir 61 author per 10,000 8 dialect per 10,000 you 61 author per 10,000 15 dialect per 10,000 up 54 author per 10,000 40 dialect per 10,000 they 54 author per 10,000 41 dialect per 10,000 her 54 author per 10,000 46 dialect per 10,000 no 50 author per 10,000 36 dialect per 10,000 wi 46 author per 10,000 67 dialect per 10,000 always 46 author per 10,000 1 dialect per 10,000 said 46 author per 10,000 40 dialect per 10,000 dug 46 author per 10,000 2 dialect per 10,000 so 46 author per 10,000 10 dialect per 10,000 she 46 author per 10,000 56 dialect per 10,000 ad 42 author per 10,000 0 dialect per 10,000 wit 38 author per 10,000 1 dialect per 10,000 had 38 author per 10,000 22 dialect per 10,000 ' 38 author per 10,000 53 dialect per 10,000 cos 38 author per 10,000 1 dialect per 10,000 mad 38 author per 10,000 1 dialect per 10,000 or 35 author per 10,000 29 dialect per 10,000 fish 35 author per 10,000 1 dialect per 10,000 as 35 author per 10,000 59 dialect per 10,000 his 35 author per 10,000 59 dialect per 10,000 there 35 author per 10,000 23 dialect per 10,000 fae 35 author per 10,000 26 dialect per 10,000 ye 35 author per 10,000 62 dialect per 10,000 at 35 author per 10,000 59 dialect per 10,000 race 35 author per 10,000 0 dialect per 10,000 went 35 author per 10,000 7 dialect per 10,000 could 35 author per 10,000 9 dialect per 10,000 be 31 author per 10,000 48 dialect per 10,000 him 31 author per 10,000 29 dialect per 10,000 wisnae 31 author per 10,000 4 dialect per 10,000 get 31 author per 10,000 14 dialect per 10,000 old 31 author per 10,000 0 dialect per 10,000 other 31 author per 10,000 2 dialect per 10,000 then 31 author per 10,000 17 dialect per 10,000 doon 31 author per 10,000 18 dialect per 10,000 some 31 author per 10,000 13 dialect per 10,000 yer 31 author per 10,000 20 dialect per 10,000 things 31 author per 10,000 5 dialect per 10,000 we 27 author per 10,000 33 dialect per 10,000 one 27 author per 10,000 1 dialect per 10,000 school 27 author per 10,000 3 dialect per 10,000 say 27 author per 10,000 10 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 17 dialect per 10,000 dugs 27 author per 10,000 1 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 18 dialect per 10,000 much 27 author per 10,000 3 dialect per 10,000 big 27 author per 10,000 8 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 9 dialect per 10,000 back 27 author per 10,000 20 dialect per 10,000 even 27 author per 10,000 9 dialect per 10,000 have 23 author per 10,000 2 dialect per 10,000 supper 23 author per 10,000 0 dialect per 10,000 thought 23 author per 10,000 2 dialect per 10,000 their 23 author per 10,000 19 dialect per 10,000 bad 23 author per 10,000 3 dialect per 10,000 day 23 author per 10,000 14 dialect per 10,000 kitchen 23 author per 10,000 1 dialect per 10,000 telt 23 author per 10,000 5 dialect per 10,000 got 23 author per 10,000 11 dialect per 10,000 think 23 author per 10,000 9 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 1 dialect per 10,000 folk 19 author per 10,000 5 dialect per 10,000 by 19 author per 10,000 17 dialect per 10,000 looked 19 author per 10,000 3 dialect per 10,000 win 19 author per 10,000 2 dialect per 10,000 how 19 author per 10,000 6 dialect per 10,000 same 19 author per 10,000 6 dialect per 10,000 hair 19 author per 10,000 3 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 2 dialect per 10,000 started 19 author per 10,000 1 dialect per 10,000 lads 19 author per 10,000 1 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 0 dialect per 10,000 still 19 author per 10,000 8 dialect per 10,000 intae 19 author per 10,000 18 dialect per 10,000 wae 19 author per 10,000 9 dialect per 10,000 aff 15 author per 10,000 14 dialect per 10,000 proud 15 author per 10,000 0 dialect per 10,000 floor 15 author per 10,000 0 dialect per 10,000 really 15 author per 10,000 4 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 3 dialect per 10,000 again 15 author per 10,000 9 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 8 dialect per 10,000 sat 15 author per 10,000 2 dialect per 10,000 fair 15 author per 10,000 4 dialect per 10,000 because 15 author per 10,000 3 dialect per 10,000 legs 15 author per 10,000 1 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 1 dialect per 10,000 ootside 15 author per 10,000 2 dialect per 10,000 over 15 author per 10,000 1 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 4 dialect per 10,000 thing 15 author per 10,000 6 dialect per 10,000 couldnae 15 author per 10,000 3 dialect per 10,000 die 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 10 dialect per 10,000 breakfast 15 author per 10,000 0 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 0 dialect per 10,000 belly 15 author per 10,000 0 dialect per 10,000 pal 15 author per 10,000 2 dialect per 10,000 time 15 author per 10,000 18 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 1 dialect per 10,000 eat 12 author per 10,000 2 dialect per 10,000 feart 12 author per 10,000 2 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 0 dialect per 10,000 sometimes 12 author per 10,000 1 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 14 dialect per 10,000 going 12 author per 10,000 1 dialect per 10,000 getting 12 author per 10,000 1 dialect per 10,000 he'd 12 author per 10,000 3 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 gave 12 author per 10,000 1 dialect per 10,000 feed 12 author per 10,000 1 dialect per 10,000 after 12 author per 10,000 1 dialect per 10,000 son 12 author per 10,000 2 dialect per 10,000 go 12 author per 10,000 6 dialect per 10,000 sent 12 author per 10,000 2 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 where 12 author per 10,000 3 dialect per 10,000 stop 12 author per 10,000 1 dialect per 10,000 ran 12 author per 10,000 1 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 2 dialect per 10,000 maybe 12 author per 10,000 1 dialect per 10,000 liked 12 author per 10,000 1 dialect per 10,000 boys 12 author per 10,000 1 dialect per 10,000 morning 12 author per 10,000 0 dialect per 10,000 took 12 author per 10,000 3 dialect per 10,000 matter 12 author per 10,000 1 dialect per 10,000 excited 12 author per 10,000 0 dialect per 10,000 came 12 author per 10,000 3 dialect per 10,000 us 12 author per 10,000 15 dialect per 10,000 eyes 12 author per 10,000 2 dialect per 10,000 ate 12 author per 10,000 0 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 tin 12 author per 10,000 1 dialect per 10,000 porridge 12 author per 10,000 0 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 1 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 1 dialect per 10,000 look 12 author per 10,000 5 dialect per 10,000 anything 12 author per 10,000 0 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 1 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 2 dialect per 10,000 if 12 author per 10,000 17 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 27 dialect per 10,000 way 12 author per 10,000 3 dialect per 10,000 would 12 author per 10,000 2 dialect per 10,000 being 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 7 dialect per 10,000 been 12 author per 10,000 18 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000 		Doric
a 584 author per 10,000 315 dialect per 10,000 the 503 author per 10,000 452 dialect per 10,000 and 384 author per 10,000 41 dialect per 10,000 wis 223 author per 10,000 105 dialect per 10,000 tae 223 author per 10,000 171 dialect per 10,000 ma 173 author per 10,000 50 dialect per 10,000 me 165 author per 10,000 32 dialect per 10,000 da 161 author per 10,000 3 dialect per 10,000 that 158 author per 10,000 53 dialect per 10,000 it 127 author per 10,000 99 dialect per 10,000 in 115 author per 10,000 130 dialect per 10,000 he 104 author per 10,000 96 dialect per 10,000 of 100 author per 10,000 8 dialect per 10,000 them 100 author per 10,000 23 dialect per 10,000 but 96 author per 10,000 25 dialect per 10,000 wee 88 author per 10,000 18 dialect per 10,000 didnae 88 author per 10,000 2 dialect per 10,000 aboot 81 author per 10,000 33 dialect per 10,000 like 81 author per 10,000 37 dialect per 10,000 were 77 author per 10,000 13 dialect per 10,000 when 77 author per 10,000 3 dialect per 10,000 all 73 author per 10,000 4 dialect per 10,000 on 65 author per 10,000 67 dialect per 10,000 oot 65 author per 10,000 50 dialect per 10,000 jist 65 author per 10,000 36 dialect per 10,000 fir 61 author per 10,000 14 dialect per 10,000 you 61 author per 10,000 17 dialect per 10,000 up 54 author per 10,000 47 dialect per 10,000 they 54 author per 10,000 36 dialect per 10,000 her 54 author per 10,000 64 dialect per 10,000 no 50 author per 10,000 7 dialect per 10,000 wi 46 author per 10,000 77 dialect per 10,000 always 46 author per 10,000 0 dialect per 10,000 said 46 author per 10,000 36 dialect per 10,000 dug 46 author per 10,000 1 dialect per 10,000 so 46 author per 10,000 17 dialect per 10,000 she 46 author per 10,000 66 dialect per 10,000 ad 42 author per 10,000 0 dialect per 10,000 wit 38 author per 10,000 0 dialect per 10,000 had 38 author per 10,000 4 dialect per 10,000 ' 38 author per 10,000 22 dialect per 10,000 cos 38 author per 10,000 1 dialect per 10,000 mad 38 author per 10,000 1 dialect per 10,000 or 35 author per 10,000 26 dialect per 10,000 fish 35 author per 10,000 2 dialect per 10,000 as 35 author per 10,000 52 dialect per 10,000 his 35 author per 10,000 69 dialect per 10,000 there 35 author per 10,000 22 dialect per 10,000 fae 35 author per 10,000 30 dialect per 10,000 ye 35 author per 10,000 93 dialect per 10,000 at 35 author per 10,000 68 dialect per 10,000 race 35 author per 10,000 0 dialect per 10,000 went 35 author per 10,000 4 dialect per 10,000 could 35 author per 10,000 8 dialect per 10,000 be 31 author per 10,000 45 dialect per 10,000 him 31 author per 10,000 30 dialect per 10,000 wisnae 31 author per 10,000 2 dialect per 10,000 get 31 author per 10,000 16 dialect per 10,000 old 31 author per 10,000 0 dialect per 10,000 other 31 author per 10,000 0 dialect per 10,000 then 31 author per 10,000 9 dialect per 10,000 doon 31 author per 10,000 33 dialect per 10,000 some 31 author per 10,000 13 dialect per 10,000 yer 31 author per 10,000 35 dialect per 10,000 things 31 author per 10,000 6 dialect per 10,000 we 27 author per 10,000 33 dialect per 10,000 one 27 author per 10,000 2 dialect per 10,000 school 27 author per 10,000 1 dialect per 10,000 say 27 author per 10,000 14 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 5 dialect per 10,000 dugs 27 author per 10,000 0 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 43 dialect per 10,000 much 27 author per 10,000 4 dialect per 10,000 big 27 author per 10,000 6 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 10 dialect per 10,000 back 27 author per 10,000 21 dialect per 10,000 even 27 author per 10,000 6 dialect per 10,000 have 23 author per 10,000 1 dialect per 10,000 supper 23 author per 10,000 1 dialect per 10,000 thought 23 author per 10,000 0 dialect per 10,000 their 23 author per 10,000 19 dialect per 10,000 bad 23 author per 10,000 2 dialect per 10,000 day 23 author per 10,000 26 dialect per 10,000 kitchen 23 author per 10,000 2 dialect per 10,000 telt 23 author per 10,000 7 dialect per 10,000 got 23 author per 10,000 14 dialect per 10,000 think 23 author per 10,000 11 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 1 dialect per 10,000 folk 19 author per 10,000 4 dialect per 10,000 by 19 author per 10,000 9 dialect per 10,000 looked 19 author per 10,000 3 dialect per 10,000 win 19 author per 10,000 8 dialect per 10,000 how 19 author per 10,000 2 dialect per 10,000 same 19 author per 10,000 5 dialect per 10,000 hair 19 author per 10,000 3 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 1 dialect per 10,000 started 19 author per 10,000 2 dialect per 10,000 lads 19 author per 10,000 1 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 0 dialect per 10,000 still 19 author per 10,000 6 dialect per 10,000 intae 19 author per 10,000 10 dialect per 10,000 wae 19 author per 10,000 1 dialect per 10,000 aff 15 author per 10,000 14 dialect per 10,000 proud 15 author per 10,000 0 dialect per 10,000 floor 15 author per 10,000 0 dialect per 10,000 really 15 author per 10,000 4 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 1 dialect per 10,000 again 15 author per 10,000 10 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 3 dialect per 10,000 sat 15 author per 10,000 3 dialect per 10,000 fair 15 author per 10,000 7 dialect per 10,000 because 15 author per 10,000 2 dialect per 10,000 legs 15 author per 10,000 1 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 1 dialect per 10,000 ootside 15 author per 10,000 2 dialect per 10,000 over 15 author per 10,000 0 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 0 dialect per 10,000 thing 15 author per 10,000 6 dialect per 10,000 couldnae 15 author per 10,000 0 dialect per 10,000 die 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 14 dialect per 10,000 breakfast 15 author per 10,000 0 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 0 dialect per 10,000 belly 15 author per 10,000 1 dialect per 10,000 pal 15 author per 10,000 1 dialect per 10,000 time 15 author per 10,000 19 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 0 dialect per 10,000 eat 12 author per 10,000 1 dialect per 10,000 feart 12 author per 10,000 2 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 0 dialect per 10,000 sometimes 12 author per 10,000 1 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 23 dialect per 10,000 going 12 author per 10,000 0 dialect per 10,000 getting 12 author per 10,000 1 dialect per 10,000 he'd 12 author per 10,000 6 dialect per 10,000 hard 12 author per 10,000 3 dialect per 10,000 gave 12 author per 10,000 1 dialect per 10,000 feed 12 author per 10,000 1 dialect per 10,000 after 12 author per 10,000 0 dialect per 10,000 son 12 author per 10,000 1 dialect per 10,000 go 12 author per 10,000 4 dialect per 10,000 sent 12 author per 10,000 2 dialect per 10,000 see 12 author per 10,000 21 dialect per 10,000 where 12 author per 10,000 1 dialect per 10,000 stop 12 author per 10,000 2 dialect per 10,000 ran 12 author per 10,000 2 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 1 dialect per 10,000 maybe 12 author per 10,000 1 dialect per 10,000 liked 12 author per 10,000 0 dialect per 10,000 boys 12 author per 10,000 0 dialect per 10,000 morning 12 author per 10,000 0 dialect per 10,000 took 12 author per 10,000 4 dialect per 10,000 matter 12 author per 10,000 0 dialect per 10,000 excited 12 author per 10,000 0 dialect per 10,000 came 12 author per 10,000 4 dialect per 10,000 us 12 author per 10,000 6 dialect per 10,000 eyes 12 author per 10,000 1 dialect per 10,000 ate 12 author per 10,000 1 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 tin 12 author per 10,000 1 dialect per 10,000 porridge 12 author per 10,000 0 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 1 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 1 dialect per 10,000 look 12 author per 10,000 7 dialect per 10,000 anything 12 author per 10,000 0 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 2 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 if 12 author per 10,000 16 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 28 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 would 12 author per 10,000 1 dialect per 10,000 being 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 8 dialect per 10,000 been 12 author per 10,000 13 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000
Shetland
a 584 author per 10,000 280 dialect per 10,000 the 503 author per 10,000 18 dialect per 10,000 and 384 author per 10,000 15 dialect per 10,000 wis 223 author per 10,000 162 dialect per 10,000 tae 223 author per 10,000 86 dialect per 10,000 ma 173 author per 10,000 0 dialect per 10,000 me 165 author per 10,000 41 dialect per 10,000 da 161 author per 10,000 546 dialect per 10,000 that 158 author per 10,000 4 dialect per 10,000 it 127 author per 10,000 58 dialect per 10,000 in 115 author per 10,000 105 dialect per 10,000 he 104 author per 10,000 103 dialect per 10,000 of 100 author per 10,000 11 dialect per 10,000 them 100 author per 10,000 1 dialect per 10,000 but 96 author per 10,000 29 dialect per 10,000 wee 88 author per 10,000 0 dialect per 10,000 didnae 88 author per 10,000 0 dialect per 10,000 aboot 81 author per 10,000 41 dialect per 10,000 like 81 author per 10,000 2 dialect per 10,000 were 77 author per 10,000 3 dialect per 10,000 when 77 author per 10,000 5 dialect per 10,000 all 73 author per 10,000 3 dialect per 10,000 on 65 author per 10,000 52 dialect per 10,000 oot 65 author per 10,000 42 dialect per 10,000 jist 65 author per 10,000 0 dialect per 10,000 fir 61 author per 10,000 29 dialect per 10,000 you 61 author per 10,000 51 dialect per 10,000 up 54 author per 10,000 42 dialect per 10,000 they 54 author per 10,000 2 dialect per 10,000 her 54 author per 10,000 64 dialect per 10,000 no 50 author per 10,000 35 dialect per 10,000 wi 46 author per 10,000 95 dialect per 10,000 always 46 author per 10,000 1 dialect per 10,000 said 46 author per 10,000 61 dialect per 10,000 dug 46 author per 10,000 2 dialect per 10,000 so 46 author per 10,000 26 dialect per 10,000 she 46 author per 10,000 7 dialect per 10,000 ad 42 author per 10,000 1 dialect per 10,000 wit 38 author per 10,000 0 dialect per 10,000 had 38 author per 10,000 2 dialect per 10,000 ' 38 author per 10,000 23 dialect per 10,000 cos 38 author per 10,000 0 dialect per 10,000 mad 38 author per 10,000 1 dialect per 10,000 or 35 author per 10,000 32 dialect per 10,000 fish 35 author per 10,000 2 dialect per 10,000 as 35 author per 10,000 79 dialect per 10,000 his 35 author per 10,000 52 dialect per 10,000 there 35 author per 10,000 1 dialect per 10,000 fae 35 author per 10,000 40 dialect per 10,000 ye 35 author per 10,000 0 dialect per 10,000 at 35 author per 10,000 112 dialect per 10,000 race 35 author per 10,000 0 dialect per 10,000 went 35 author per 10,000 0 dialect per 10,000 could 35 author per 10,000 12 dialect per 10,000 be 31 author per 10,000 56 dialect per 10,000 him 31 author per 10,000 47 dialect per 10,000 wisnae 31 author per 10,000 0 dialect per 10,000 get 31 author per 10,000 6 dialect per 10,000 old 31 author per 10,000 0 dialect per 10,000 other 31 author per 10,000 1 dialect per 10,000 then 31 author per 10,000 1 dialect per 10,000 doon 31 author per 10,000 22 dialect per 10,000 some 31 author per 10,000 13 dialect per 10,000 yer 31 author per 10,000 0 dialect per 10,000 things 31 author per 10,000 7 dialect per 10,000 we 27 author per 10,000 44 dialect per 10,000 one 27 author per 10,000 1 dialect per 10,000 school 27 author per 10,000 0 dialect per 10,000 say 27 author per 10,000 11 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 2 dialect per 10,000 dugs 27 author per 10,000 1 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 38 dialect per 10,000 much 27 author per 10,000 2 dialect per 10,000 big 27 author per 10,000 3 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 9 dialect per 10,000 back 27 author per 10,000 18 dialect per 10,000 even 27 author per 10,000 10 dialect per 10,000 have 23 author per 10,000 3 dialect per 10,000 supper 23 author per 10,000 0 dialect per 10,000 thought 23 author per 10,000 0 dialect per 10,000 their 23 author per 10,000 1 dialect per 10,000 bad 23 author per 10,000 1 dialect per 10,000 day 23 author per 10,000 18 dialect per 10,000 kitchen 23 author per 10,000 0 dialect per 10,000 telt 23 author per 10,000 7 dialect per 10,000 got 23 author per 10,000 8 dialect per 10,000 think 23 author per 10,000 1 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 folk 19 author per 10,000 1 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 looked 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 4 dialect per 10,000 how 19 author per 10,000 1 dialect per 10,000 same 19 author per 10,000 0 dialect per 10,000 hair 19 author per 10,000 3 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 3 dialect per 10,000 started 19 author per 10,000 1 dialect per 10,000 lads 19 author per 10,000 0 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 1 dialect per 10,000 still 19 author per 10,000 9 dialect per 10,000 intae 19 author per 10,000 8 dialect per 10,000 wae 19 author per 10,000 0 dialect per 10,000 aff 15 author per 10,000 18 dialect per 10,000 proud 15 author per 10,000 0 dialect per 10,000 floor 15 author per 10,000 0 dialect per 10,000 really 15 author per 10,000 2 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 1 dialect per 10,000 again 15 author per 10,000 5 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 0 dialect per 10,000 sat 15 author per 10,000 3 dialect per 10,000 fair 15 author per 10,000 1 dialect per 10,000 because 15 author per 10,000 0 dialect per 10,000 legs 15 author per 10,000 1 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 2 dialect per 10,000 ootside 15 author per 10,000 1 dialect per 10,000 over 15 author per 10,000 0 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 1 dialect per 10,000 thing 15 author per 10,000 6 dialect per 10,000 couldnae 15 author per 10,000 0 dialect per 10,000 die 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 15 dialect per 10,000 breakfast 15 author per 10,000 0 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 0 dialect per 10,000 belly 15 author per 10,000 0 dialect per 10,000 pal 15 author per 10,000 0 dialect per 10,000 time 15 author per 10,000 21 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 0 dialect per 10,000 eat 12 author per 10,000 0 dialect per 10,000 feart 12 author per 10,000 0 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 1 dialect per 10,000 sometimes 12 author per 10,000 1 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 14 dialect per 10,000 going 12 author per 10,000 0 dialect per 10,000 getting 12 author per 10,000 0 dialect per 10,000 he'd 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 gave 12 author per 10,000 0 dialect per 10,000 feed 12 author per 10,000 1 dialect per 10,000 after 12 author per 10,000 0 dialect per 10,000 son 12 author per 10,000 1 dialect per 10,000 go 12 author per 10,000 2 dialect per 10,000 sent 12 author per 10,000 2 dialect per 10,000 see 12 author per 10,000 20 dialect per 10,000 where 12 author per 10,000 0 dialect per 10,000 stop 12 author per 10,000 2 dialect per 10,000 ran 12 author per 10,000 2 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 1 dialect per 10,000 maybe 12 author per 10,000 4 dialect per 10,000 liked 12 author per 10,000 0 dialect per 10,000 boys 12 author per 10,000 3 dialect per 10,000 morning 12 author per 10,000 0 dialect per 10,000 took 12 author per 10,000 9 dialect per 10,000 matter 12 author per 10,000 0 dialect per 10,000 excited 12 author per 10,000 0 dialect per 10,000 came 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 0 dialect per 10,000 eyes 12 author per 10,000 0 dialect per 10,000 ate 12 author per 10,000 0 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 9 dialect per 10,000 tin 12 author per 10,000 0 dialect per 10,000 porridge 12 author per 10,000 0 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 2 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 6 dialect per 10,000 anything 12 author per 10,000 0 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 1 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 if 12 author per 10,000 25 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 53 dialect per 10,000 way 12 author per 10,000 0 dialect per 10,000 would 12 author per 10,000 1 dialect per 10,000 being 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 1 dialect per 10,000 been 12 author per 10,000 16 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000 		Orkney
a 584 author per 10,000 298 dialect per 10,000 the 503 author per 10,000 582 dialect per 10,000 and 384 author per 10,000 199 dialect per 10,000 wis 223 author per 10,000 80 dialect per 10,000 tae 223 author per 10,000 223 dialect per 10,000 ma 173 author per 10,000 1 dialect per 10,000 me 165 author per 10,000 115 dialect per 10,000 da 161 author per 10,000 0 dialect per 10,000 that 158 author per 10,000 75 dialect per 10,000 it 127 author per 10,000 23 dialect per 10,000 in 115 author per 10,000 146 dialect per 10,000 he 104 author per 10,000 85 dialect per 10,000 of 100 author per 10,000 6 dialect per 10,000 them 100 author per 10,000 18 dialect per 10,000 but 96 author per 10,000 28 dialect per 10,000 wee 88 author per 10,000 1 dialect per 10,000 didnae 88 author per 10,000 0 dialect per 10,000 aboot 81 author per 10,000 26 dialect per 10,000 like 81 author per 10,000 31 dialect per 10,000 were 77 author per 10,000 6 dialect per 10,000 when 77 author per 10,000 23 dialect per 10,000 all 73 author per 10,000 6 dialect per 10,000 on 65 author per 10,000 73 dialect per 10,000 oot 65 author per 10,000 50 dialect per 10,000 jist 65 author per 10,000 3 dialect per 10,000 fir 61 author per 10,000 5 dialect per 10,000 you 61 author per 10,000 35 dialect per 10,000 up 54 author per 10,000 34 dialect per 10,000 they 54 author per 10,000 37 dialect per 10,000 her 54 author per 10,000 49 dialect per 10,000 no 50 author per 10,000 58 dialect per 10,000 wi 46 author per 10,000 46 dialect per 10,000 always 46 author per 10,000 1 dialect per 10,000 said 46 author per 10,000 15 dialect per 10,000 dug 46 author per 10,000 0 dialect per 10,000 so 46 author per 10,000 30 dialect per 10,000 she 46 author per 10,000 9 dialect per 10,000 ad 42 author per 10,000 0 dialect per 10,000 wit 38 author per 10,000 0 dialect per 10,000 had 38 author per 10,000 3 dialect per 10,000 ' 38 author per 10,000 10 dialect per 10,000 cos 38 author per 10,000 0 dialect per 10,000 mad 38 author per 10,000 2 dialect per 10,000 or 35 author per 10,000 30 dialect per 10,000 fish 35 author per 10,000 1 dialect per 10,000 as 35 author per 10,000 48 dialect per 10,000 his 35 author per 10,000 61 dialect per 10,000 there 35 author per 10,000 18 dialect per 10,000 fae 35 author per 10,000 39 dialect per 10,000 ye 35 author per 10,000 17 dialect per 10,000 at 35 author per 10,000 54 dialect per 10,000 race 35 author per 10,000 1 dialect per 10,000 went 35 author per 10,000 1 dialect per 10,000 could 35 author per 10,000 13 dialect per 10,000 be 31 author per 10,000 42 dialect per 10,000 him 31 author per 10,000 21 dialect per 10,000 wisnae 31 author per 10,000 0 dialect per 10,000 get 31 author per 10,000 9 dialect per 10,000 old 31 author per 10,000 1 dialect per 10,000 other 31 author per 10,000 0 dialect per 10,000 then 31 author per 10,000 18 dialect per 10,000 doon 31 author per 10,000 28 dialect per 10,000 some 31 author per 10,000 17 dialect per 10,000 yer 31 author per 10,000 7 dialect per 10,000 things 31 author per 10,000 9 dialect per 10,000 we 27 author per 10,000 29 dialect per 10,000 one 27 author per 10,000 1 dialect per 10,000 school 27 author per 10,000 1 dialect per 10,000 say 27 author per 10,000 10 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 10 dialect per 10,000 dugs 27 author per 10,000 0 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 48 dialect per 10,000 much 27 author per 10,000 6 dialect per 10,000 big 27 author per 10,000 7 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 8 dialect per 10,000 back 27 author per 10,000 26 dialect per 10,000 even 27 author per 10,000 6 dialect per 10,000 have 23 author per 10,000 2 dialect per 10,000 supper 23 author per 10,000 1 dialect per 10,000 thought 23 author per 10,000 0 dialect per 10,000 their 23 author per 10,000 8 dialect per 10,000 bad 23 author per 10,000 3 dialect per 10,000 day 23 author per 10,000 20 dialect per 10,000 kitchen 23 author per 10,000 1 dialect per 10,000 telt 23 author per 10,000 4 dialect per 10,000 got 23 author per 10,000 11 dialect per 10,000 think 23 author per 10,000 10 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 folk 19 author per 10,000 9 dialect per 10,000 by 19 author per 10,000 16 dialect per 10,000 looked 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 1 dialect per 10,000 how 19 author per 10,000 1 dialect per 10,000 same 19 author per 10,000 3 dialect per 10,000 hair 19 author per 10,000 3 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 9 dialect per 10,000 started 19 author per 10,000 2 dialect per 10,000 lads 19 author per 10,000 0 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 0 dialect per 10,000 still 19 author per 10,000 12 dialect per 10,000 intae 19 author per 10,000 18 dialect per 10,000 wae 19 author per 10,000 44 dialect per 10,000 aff 15 author per 10,000 8 dialect per 10,000 proud 15 author per 10,000 0 dialect per 10,000 floor 15 author per 10,000 3 dialect per 10,000 really 15 author per 10,000 4 dialect per 10,000 bag 15 author per 10,000 0 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 2 dialect per 10,000 again 15 author per 10,000 12 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 9 dialect per 10,000 sat 15 author per 10,000 4 dialect per 10,000 fair 15 author per 10,000 3 dialect per 10,000 because 15 author per 10,000 1 dialect per 10,000 legs 15 author per 10,000 2 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 1 dialect per 10,000 ootside 15 author per 10,000 3 dialect per 10,000 over 15 author per 10,000 1 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 1 dialect per 10,000 thing 15 author per 10,000 7 dialect per 10,000 couldnae 15 author per 10,000 0 dialect per 10,000 die 15 author per 10,000 1 dialect per 10,000 afore 15 author per 10,000 12 dialect per 10,000 breakfast 15 author per 10,000 1 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 1 dialect per 10,000 belly 15 author per 10,000 1 dialect per 10,000 pal 15 author per 10,000 0 dialect per 10,000 time 15 author per 10,000 18 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 0 dialect per 10,000 eat 12 author per 10,000 1 dialect per 10,000 feart 12 author per 10,000 1 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 0 dialect per 10,000 sometimes 12 author per 10,000 1 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 15 dialect per 10,000 going 12 author per 10,000 1 dialect per 10,000 getting 12 author per 10,000 0 dialect per 10,000 he'd 12 author per 10,000 4 dialect per 10,000 hard 12 author per 10,000 3 dialect per 10,000 gave 12 author per 10,000 0 dialect per 10,000 feed 12 author per 10,000 2 dialect per 10,000 after 12 author per 10,000 0 dialect per 10,000 son 12 author per 10,000 2 dialect per 10,000 go 12 author per 10,000 10 dialect per 10,000 sent 12 author per 10,000 2 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 where 12 author per 10,000 0 dialect per 10,000 stop 12 author per 10,000 2 dialect per 10,000 ran 12 author per 10,000 1 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 2 dialect per 10,000 maybe 12 author per 10,000 0 dialect per 10,000 liked 12 author per 10,000 1 dialect per 10,000 boys 12 author per 10,000 2 dialect per 10,000 morning 12 author per 10,000 1 dialect per 10,000 took 12 author per 10,000 3 dialect per 10,000 matter 12 author per 10,000 0 dialect per 10,000 excited 12 author per 10,000 1 dialect per 10,000 came 12 author per 10,000 1 dialect per 10,000 us 12 author per 10,000 6 dialect per 10,000 eyes 12 author per 10,000 7 dialect per 10,000 ate 12 author per 10,000 0 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 2 dialect per 10,000 tin 12 author per 10,000 0 dialect per 10,000 porridge 12 author per 10,000 1 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 1 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 1 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 anything 12 author per 10,000 2 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 2 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 5 dialect per 10,000 if 12 author per 10,000 15 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 76 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 would 12 author per 10,000 1 dialect per 10,000 being 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 3 dialect per 10,000 been 12 author per 10,000 18 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000
Southern
a 584 author per 10,000 230 dialect per 10,000 the 503 author per 10,000 449 dialect per 10,000 and 384 author per 10,000 33 dialect per 10,000 wis 223 author per 10,000 54 dialect per 10,000 tae 223 author per 10,000 206 dialect per 10,000 ma 173 author per 10,000 59 dialect per 10,000 me 165 author per 10,000 16 dialect per 10,000 da 161 author per 10,000 0 dialect per 10,000 that 158 author per 10,000 65 dialect per 10,000 it 127 author per 10,000 63 dialect per 10,000 in 115 author per 10,000 107 dialect per 10,000 he 104 author per 10,000 12 dialect per 10,000 of 100 author per 10,000 10 dialect per 10,000 them 100 author per 10,000 5 dialect per 10,000 but 96 author per 10,000 42 dialect per 10,000 wee 88 author per 10,000 23 dialect per 10,000 didnae 88 author per 10,000 5 dialect per 10,000 aboot 81 author per 10,000 29 dialect per 10,000 like 81 author per 10,000 8 dialect per 10,000 were 77 author per 10,000 15 dialect per 10,000 when 77 author per 10,000 16 dialect per 10,000 all 73 author per 10,000 0 dialect per 10,000 on 65 author per 10,000 55 dialect per 10,000 oot 65 author per 10,000 34 dialect per 10,000 jist 65 author per 10,000 11 dialect per 10,000 fir 61 author per 10,000 5 dialect per 10,000 you 61 author per 10,000 3 dialect per 10,000 up 54 author per 10,000 41 dialect per 10,000 they 54 author per 10,000 31 dialect per 10,000 her 54 author per 10,000 17 dialect per 10,000 no 50 author per 10,000 28 dialect per 10,000 wi 46 author per 10,000 66 dialect per 10,000 always 46 author per 10,000 0 dialect per 10,000 said 46 author per 10,000 65 dialect per 10,000 dug 46 author per 10,000 1 dialect per 10,000 so 46 author per 10,000 3 dialect per 10,000 she 46 author per 10,000 91 dialect per 10,000 ad 42 author per 10,000 0 dialect per 10,000 wit 38 author per 10,000 0 dialect per 10,000 had 38 author per 10,000 0 dialect per 10,000 ' 38 author per 10,000 6 dialect per 10,000 cos 38 author per 10,000 2 dialect per 10,000 mad 38 author per 10,000 2 dialect per 10,000 or 35 author per 10,000 22 dialect per 10,000 fish 35 author per 10,000 2 dialect per 10,000 as 35 author per 10,000 50 dialect per 10,000 his 35 author per 10,000 37 dialect per 10,000 there 35 author per 10,000 16 dialect per 10,000 fae 35 author per 10,000 0 dialect per 10,000 ye 35 author per 10,000 21 dialect per 10,000 at 35 author per 10,000 69 dialect per 10,000 race 35 author per 10,000 0 dialect per 10,000 went 35 author per 10,000 13 dialect per 10,000 could 35 author per 10,000 13 dialect per 10,000 be 31 author per 10,000 13 dialect per 10,000 him 31 author per 10,000 11 dialect per 10,000 wisnae 31 author per 10,000 3 dialect per 10,000 get 31 author per 10,000 10 dialect per 10,000 old 31 author per 10,000 0 dialect per 10,000 other 31 author per 10,000 1 dialect per 10,000 then 31 author per 10,000 17 dialect per 10,000 doon 31 author per 10,000 24 dialect per 10,000 some 31 author per 10,000 12 dialect per 10,000 yer 31 author per 10,000 17 dialect per 10,000 things 31 author per 10,000 2 dialect per 10,000 we 27 author per 10,000 10 dialect per 10,000 one 27 author per 10,000 1 dialect per 10,000 school 27 author per 10,000 0 dialect per 10,000 say 27 author per 10,000 17 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 14 dialect per 10,000 dugs 27 author per 10,000 1 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 14 dialect per 10,000 much 27 author per 10,000 6 dialect per 10,000 big 27 author per 10,000 5 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 11 dialect per 10,000 back 27 author per 10,000 19 dialect per 10,000 even 27 author per 10,000 5 dialect per 10,000 have 23 author per 10,000 0 dialect per 10,000 supper 23 author per 10,000 0 dialect per 10,000 thought 23 author per 10,000 1 dialect per 10,000 their 23 author per 10,000 14 dialect per 10,000 bad 23 author per 10,000 1 dialect per 10,000 day 23 author per 10,000 17 dialect per 10,000 kitchen 23 author per 10,000 1 dialect per 10,000 telt 23 author per 10,000 5 dialect per 10,000 got 23 author per 10,000 10 dialect per 10,000 think 23 author per 10,000 7 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 2 dialect per 10,000 folk 19 author per 10,000 3 dialect per 10,000 by 19 author per 10,000 5 dialect per 10,000 looked 19 author per 10,000 6 dialect per 10,000 win 19 author per 10,000 1 dialect per 10,000 how 19 author per 10,000 10 dialect per 10,000 same 19 author per 10,000 6 dialect per 10,000 hair 19 author per 10,000 2 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 0 dialect per 10,000 started 19 author per 10,000 0 dialect per 10,000 lads 19 author per 10,000 0 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 0 dialect per 10,000 still 19 author per 10,000 7 dialect per 10,000 intae 19 author per 10,000 10 dialect per 10,000 wae 19 author per 10,000 0 dialect per 10,000 aff 15 author per 10,000 4 dialect per 10,000 proud 15 author per 10,000 0 dialect per 10,000 floor 15 author per 10,000 0 dialect per 10,000 really 15 author per 10,000 2 dialect per 10,000 bag 15 author per 10,000 0 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 1 dialect per 10,000 again 15 author per 10,000 2 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 5 dialect per 10,000 sat 15 author per 10,000 4 dialect per 10,000 fair 15 author per 10,000 13 dialect per 10,000 because 15 author per 10,000 2 dialect per 10,000 legs 15 author per 10,000 1 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 1 dialect per 10,000 ootside 15 author per 10,000 1 dialect per 10,000 over 15 author per 10,000 0 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 0 dialect per 10,000 thing 15 author per 10,000 2 dialect per 10,000 couldnae 15 author per 10,000 3 dialect per 10,000 die 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 16 dialect per 10,000 breakfast 15 author per 10,000 0 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 0 dialect per 10,000 belly 15 author per 10,000 0 dialect per 10,000 pal 15 author per 10,000 1 dialect per 10,000 time 15 author per 10,000 14 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 0 dialect per 10,000 eat 12 author per 10,000 3 dialect per 10,000 feart 12 author per 10,000 1 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 1 dialect per 10,000 sometimes 12 author per 10,000 1 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 17 dialect per 10,000 going 12 author per 10,000 0 dialect per 10,000 getting 12 author per 10,000 0 dialect per 10,000 he'd 12 author per 10,000 0 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 gave 12 author per 10,000 0 dialect per 10,000 feed 12 author per 10,000 0 dialect per 10,000 after 12 author per 10,000 1 dialect per 10,000 son 12 author per 10,000 3 dialect per 10,000 go 12 author per 10,000 1 dialect per 10,000 sent 12 author per 10,000 1 dialect per 10,000 see 12 author per 10,000 5 dialect per 10,000 where 12 author per 10,000 6 dialect per 10,000 stop 12 author per 10,000 1 dialect per 10,000 ran 12 author per 10,000 1 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 1 dialect per 10,000 maybe 12 author per 10,000 1 dialect per 10,000 liked 12 author per 10,000 1 dialect per 10,000 boys 12 author per 10,000 0 dialect per 10,000 morning 12 author per 10,000 1 dialect per 10,000 took 12 author per 10,000 4 dialect per 10,000 matter 12 author per 10,000 1 dialect per 10,000 excited 12 author per 10,000 0 dialect per 10,000 came 12 author per 10,000 6 dialect per 10,000 us 12 author per 10,000 5 dialect per 10,000 eyes 12 author per 10,000 4 dialect per 10,000 ate 12 author per 10,000 0 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 14 dialect per 10,000 tin 12 author per 10,000 0 dialect per 10,000 porridge 12 author per 10,000 0 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 2 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 4 dialect per 10,000 anything 12 author per 10,000 0 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 0 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 1 dialect per 10,000 if 12 author per 10,000 17 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 29 dialect per 10,000 way 12 author per 10,000 1 dialect per 10,000 would 12 author per 10,000 11 dialect per 10,000 being 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 been 12 author per 10,000 10 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000 		Ulster
a 584 author per 10,000 287 dialect per 10,000 the 503 author per 10,000 345 dialect per 10,000 and 384 author per 10,000 10 dialect per 10,000 wis 223 author per 10,000 1 dialect per 10,000 tae 223 author per 10,000 253 dialect per 10,000 ma 173 author per 10,000 23 dialect per 10,000 me 165 author per 10,000 24 dialect per 10,000 da 161 author per 10,000 2 dialect per 10,000 that 158 author per 10,000 71 dialect per 10,000 it 127 author per 10,000 73 dialect per 10,000 in 115 author per 10,000 121 dialect per 10,000 he 104 author per 10,000 62 dialect per 10,000 of 100 author per 10,000 2 dialect per 10,000 them 100 author per 10,000 8 dialect per 10,000 but 96 author per 10,000 41 dialect per 10,000 wee 88 author per 10,000 27 dialect per 10,000 didnae 88 author per 10,000 7 dialect per 10,000 aboot 81 author per 10,000 27 dialect per 10,000 like 81 author per 10,000 9 dialect per 10,000 were 77 author per 10,000 4 dialect per 10,000 when 77 author per 10,000 2 dialect per 10,000 all 73 author per 10,000 3 dialect per 10,000 on 65 author per 10,000 57 dialect per 10,000 oot 65 author per 10,000 49 dialect per 10,000 jist 65 author per 10,000 8 dialect per 10,000 fir 61 author per 10,000 2 dialect per 10,000 you 61 author per 10,000 5 dialect per 10,000 up 54 author per 10,000 32 dialect per 10,000 they 54 author per 10,000 26 dialect per 10,000 her 54 author per 10,000 8 dialect per 10,000 no 50 author per 10,000 22 dialect per 10,000 wi 46 author per 10,000 63 dialect per 10,000 always 46 author per 10,000 0 dialect per 10,000 said 46 author per 10,000 32 dialect per 10,000 dug 46 author per 10,000 0 dialect per 10,000 so 46 author per 10,000 5 dialect per 10,000 she 46 author per 10,000 31 dialect per 10,000 ad 42 author per 10,000 0 dialect per 10,000 wit 38 author per 10,000 0 dialect per 10,000 had 38 author per 10,000 22 dialect per 10,000 ' 38 author per 10,000 12 dialect per 10,000 cos 38 author per 10,000 0 dialect per 10,000 mad 38 author per 10,000 1 dialect per 10,000 or 35 author per 10,000 33 dialect per 10,000 fish 35 author per 10,000 1 dialect per 10,000 as 35 author per 10,000 31 dialect per 10,000 his 35 author per 10,000 25 dialect per 10,000 there 35 author per 10,000 8 dialect per 10,000 fae 35 author per 10,000 13 dialect per 10,000 ye 35 author per 10,000 79 dialect per 10,000 at 35 author per 10,000 58 dialect per 10,000 race 35 author per 10,000 1 dialect per 10,000 went 35 author per 10,000 12 dialect per 10,000 could 35 author per 10,000 1 dialect per 10,000 be 31 author per 10,000 39 dialect per 10,000 him 31 author per 10,000 11 dialect per 10,000 wisnae 31 author per 10,000 0 dialect per 10,000 get 31 author per 10,000 9 dialect per 10,000 old 31 author per 10,000 0 dialect per 10,000 other 31 author per 10,000 0 dialect per 10,000 then 31 author per 10,000 17 dialect per 10,000 doon 31 author per 10,000 28 dialect per 10,000 some 31 author per 10,000 7 dialect per 10,000 yer 31 author per 10,000 37 dialect per 10,000 things 31 author per 10,000 4 dialect per 10,000 we 27 author per 10,000 18 dialect per 10,000 one 27 author per 10,000 0 dialect per 10,000 school 27 author per 10,000 1 dialect per 10,000 say 27 author per 10,000 10 dialect per 10,000 fishes 27 author per 10,000 0 dialect per 10,000 dae 27 author per 10,000 23 dialect per 10,000 dugs 27 author per 10,000 0 dialect per 10,000 clyde 27 author per 10,000 0 dialect per 10,000 bit 27 author per 10,000 10 dialect per 10,000 much 27 author per 10,000 3 dialect per 10,000 big 27 author per 10,000 8 dialect per 10,000 wendy 27 author per 10,000 0 dialect per 10,000 did 27 author per 10,000 5 dialect per 10,000 back 27 author per 10,000 2 dialect per 10,000 even 27 author per 10,000 4 dialect per 10,000 have 23 author per 10,000 1 dialect per 10,000 supper 23 author per 10,000 0 dialect per 10,000 thought 23 author per 10,000 0 dialect per 10,000 their 23 author per 10,000 5 dialect per 10,000 bad 23 author per 10,000 3 dialect per 10,000 day 23 author per 10,000 15 dialect per 10,000 kitchen 23 author per 10,000 1 dialect per 10,000 telt 23 author per 10,000 1 dialect per 10,000 got 23 author per 10,000 9 dialect per 10,000 think 23 author per 10,000 7 dialect per 10,000 pond 23 author per 10,000 0 dialect per 10,000 having 23 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 folk 19 author per 10,000 4 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 looked 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 0 dialect per 10,000 how 19 author per 10,000 1 dialect per 10,000 same 19 author per 10,000 5 dialect per 10,000 hair 19 author per 10,000 2 dialect per 10,000 beans 19 author per 10,000 0 dialect per 10,000 too 19 author per 10,000 1 dialect per 10,000 started 19 author per 10,000 0 dialect per 10,000 lads 19 author per 10,000 1 dialect per 10,000 saying 19 author per 10,000 0 dialect per 10,000 swedish 19 author per 10,000 0 dialect per 10,000 still 19 author per 10,000 4 dialect per 10,000 intae 19 author per 10,000 14 dialect per 10,000 wae 19 author per 10,000 11 dialect per 10,000 aff 15 author per 10,000 14 dialect per 10,000 proud 15 author per 10,000 1 dialect per 10,000 floor 15 author per 10,000 0 dialect per 10,000 really 15 author per 10,000 1 dialect per 10,000 bag 15 author per 10,000 0 dialect per 10,000 pups 15 author per 10,000 0 dialect per 10,000 done 15 author per 10,000 1 dialect per 10,000 again 15 author per 10,000 3 dialect per 10,000 crying 15 author per 10,000 0 dialect per 10,000 that's 15 author per 10,000 7 dialect per 10,000 sat 15 author per 10,000 1 dialect per 10,000 fair 15 author per 10,000 2 dialect per 10,000 because 15 author per 10,000 0 dialect per 10,000 legs 15 author per 10,000 1 dialect per 10,000 anymare 15 author per 10,000 0 dialect per 10,000 fast 15 author per 10,000 1 dialect per 10,000 ootside 15 author per 10,000 1 dialect per 10,000 over 15 author per 10,000 0 dialect per 10,000 scones 15 author per 10,000 0 dialect per 10,000 know 15 author per 10,000 11 dialect per 10,000 thing 15 author per 10,000 7 dialect per 10,000 couldnae 15 author per 10,000 0 dialect per 10,000 die 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 12 dialect per 10,000 breakfast 15 author per 10,000 0 dialect per 10,000 sweeties 15 author per 10,000 0 dialect per 10,000 around 15 author per 10,000 0 dialect per 10,000 belly 15 author per 10,000 0 dialect per 10,000 pal 15 author per 10,000 0 dialect per 10,000 time 15 author per 10,000 13 dialect per 10,000 coach 12 author per 10,000 0 dialect per 10,000 wioot 12 author per 10,000 0 dialect per 10,000 eat 12 author per 10,000 2 dialect per 10,000 feart 12 author per 10,000 2 dialect per 10,000 making 12 author per 10,000 0 dialect per 10,000 faster 12 author per 10,000 0 dialect per 10,000 sometimes 12 author per 10,000 0 dialect per 10,000 scary 12 author per 10,000 0 dialect per 10,000 ken 12 author per 10,000 3 dialect per 10,000 going 12 author per 10,000 0 dialect per 10,000 getting 12 author per 10,000 0 dialect per 10,000 he'd 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 gave 12 author per 10,000 0 dialect per 10,000 feed 12 author per 10,000 0 dialect per 10,000 after 12 author per 10,000 0 dialect per 10,000 son 12 author per 10,000 1 dialect per 10,000 go 12 author per 10,000 5 dialect per 10,000 sent 12 author per 10,000 3 dialect per 10,000 see 12 author per 10,000 16 dialect per 10,000 where 12 author per 10,000 1 dialect per 10,000 stop 12 author per 10,000 0 dialect per 10,000 ran 12 author per 10,000 0 dialect per 10,000 shaking 12 author per 10,000 0 dialect per 10,000 line 12 author per 10,000 1 dialect per 10,000 maybe 12 author per 10,000 1 dialect per 10,000 liked 12 author per 10,000 0 dialect per 10,000 boys 12 author per 10,000 3 dialect per 10,000 morning 12 author per 10,000 0 dialect per 10,000 took 12 author per 10,000 1 dialect per 10,000 matter 12 author per 10,000 1 dialect per 10,000 excited 12 author per 10,000 0 dialect per 10,000 came 12 author per 10,000 2 dialect per 10,000 us 12 author per 10,000 4 dialect per 10,000 eyes 12 author per 10,000 1 dialect per 10,000 ate 12 author per 10,000 1 dialect per 10,000 cute 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 16 dialect per 10,000 tin 12 author per 10,000 1 dialect per 10,000 porridge 12 author per 10,000 0 dialect per 10,000 bacon 12 author per 10,000 0 dialect per 10,000 mattress 12 author per 10,000 0 dialect per 10,000 size 12 author per 10,000 1 dialect per 10,000 whatever 12 author per 10,000 0 dialect per 10,000 ladies 12 author per 10,000 0 dialect per 10,000 shot 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 anything 12 author per 10,000 0 dialect per 10,000 wendy's 12 author per 10,000 0 dialect per 10,000 something 12 author per 10,000 0 dialect per 10,000 water 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 if 12 author per 10,000 14 dialect per 10,000 feeding 12 author per 10,000 0 dialect per 10,000 - 12 author per 10,000 25 dialect per 10,000 way 12 author per 10,000 2 dialect per 10,000 would 12 author per 10,000 1 dialect per 10,000 being 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 been 12 author per 10,000 2 dialect per 10,000 leash 8 author per 10,000 0 dialect per 10,000