A Corpus of 21st Century Scots Texts

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

. .Previous author - Next author
- basic details - fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Gray, Kathleen


Total words by this author in corpus - 1,615
Total unique words used by this author in corpus - 619
Ratio of total words to unique words - 2.609
Top ten most common words - the, an, i, wis, tae, o, it, a, wi, that,

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
the 545 author per 10,000 565 dialect per 10,000 an 471 author per 10,000 225 dialect per 10,000 i 353 author per 10,000 39 dialect per 10,000 wis 279 author per 10,000 97 dialect per 10,000 tae 211 author per 10,000 211 dialect per 10,000 o 198 author per 10,000 185 dialect per 10,000 it 180 author per 10,000 116 dialect per 10,000 a 173 author per 10,000 266 dialect per 10,000 wi 118 author per 10,000 67 dialect per 10,000 that 118 author per 10,000 106 dialect per 10,000 on 118 author per 10,000 55 dialect per 10,000 fit 111 author per 10,000 2 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 46 dialect per 10,000 in 99 author per 10,000 147 dialect per 10,000 she 93 author per 10,000 56 dialect per 10,000 they 93 author per 10,000 41 dialect per 10,000 hid 87 author per 10,000 2 dialect per 10,000 ye 74 author per 10,000 62 dialect per 10,000 wid 74 author per 10,000 8 dialect per 10,000 bit 74 author per 10,000 18 dialect per 10,000 me 68 author per 10,000 40 dialect per 10,000 for 68 author per 10,000 48 dialect per 10,000 jist 68 author per 10,000 20 dialect per 10,000 we 68 author per 10,000 33 dialect per 10,000 ma 62 author per 10,000 51 dialect per 10,000 us 62 author per 10,000 15 dialect per 10,000 he 62 author per 10,000 87 dialect per 10,000 aa 56 author per 10,000 14 dialect per 10,000 tee 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 59 dialect per 10,000 is 50 author per 10,000 58 dialect per 10,000 school 43 author per 10,000 3 dialect per 10,000 fur 43 author per 10,000 23 dialect per 10,000 my 43 author per 10,000 6 dialect per 10,000 name 43 author per 10,000 4 dialect per 10,000 oot 37 author per 10,000 40 dialect per 10,000 said 37 author per 10,000 40 dialect per 10,000 doon 37 author per 10,000 18 dialect per 10,000 as 37 author per 10,000 59 dialect per 10,000 so 37 author per 10,000 10 dialect per 10,000 got 37 author per 10,000 11 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 40 dialect per 10,000 oor 37 author per 10,000 15 dialect per 10,000 or 37 author per 10,000 29 dialect per 10,000 gan 37 author per 10,000 1 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 stuff 31 author per 10,000 2 dialect per 10,000 aboot 31 author per 10,000 29 dialect per 10,000 tell 31 author per 10,000 8 dialect per 10,000 can 31 author per 10,000 14 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 fin 31 author per 10,000 1 dialect per 10,000 yer 31 author per 10,000 21 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 24 dialect per 10,000 started 31 author per 10,000 1 dialect per 10,000 this 31 author per 10,000 41 dialect per 10,000 kint 25 author per 10,000 0 dialect per 10,000 - 25 author per 10,000 27 dialect per 10,000 dinna 25 author per 10,000 4 dialect per 10,000 there 25 author per 10,000 23 dialect per 10,000 kept 25 author per 10,000 2 dialect per 10,000 get 25 author per 10,000 14 dialect per 10,000 only 25 author per 10,000 6 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 wint 25 author per 10,000 0 dialect per 10,000 niver 25 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 14 dialect per 10,000 you 25 author per 10,000 15 dialect per 10,000 his 25 author per 10,000 59 dialect per 10,000 loons 19 author per 10,000 0 dialect per 10,000 aifter 19 author per 10,000 1 dialect per 10,000 by 19 author per 10,000 17 dialect per 10,000 quine 19 author per 10,000 0 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 story 19 author per 10,000 2 dialect per 10,000 hiv 19 author per 10,000 2 dialect per 10,000 heid 19 author per 10,000 11 dialect per 10,000 be 19 author per 10,000 48 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 wisna 19 author per 10,000 2 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 next 19 author per 10,000 3 dialect per 10,000 mind 19 author per 10,000 8 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 mair 19 author per 10,000 20 dialect per 10,000 could 19 author per 10,000 9 dialect per 10,000 first 19 author per 10,000 9 dialect per 10,000 quines 19 author per 10,000 0 dialect per 10,000 came 19 author per 10,000 3 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 dae 19 author per 10,000 17 dialect per 10,000 ower 19 author per 10,000 19 dialect per 10,000 are 19 author per 10,000 17 dialect per 10,000 will 19 author per 10,000 10 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 3 dialect per 10,000 really 19 author per 10,000 4 dialect per 10,000 couldna 19 author per 10,000 1 dialect per 10,000 fae 19 author per 10,000 26 dialect per 10,000 pals 19 author per 10,000 1 dialect per 10,000 awa 19 author per 10,000 12 dialect per 10,000 and 19 author per 10,000 94 dialect per 10,000 like 19 author per 10,000 28 dialect per 10,000 weel 19 author per 10,000 10 dialect per 10,000 dad 19 author per 10,000 1 dialect per 10,000 neist 19 author per 10,000 2 dialect per 10,000 fairm 19 author per 10,000 0 dialect per 10,000 them 19 author per 10,000 18 dialect per 10,000 except 19 author per 10,000 0 dialect per 10,000 spik 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 17 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 auld 12 author per 10,000 14 dialect per 10,000 cos 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 anither 12 author per 10,000 7 dialect per 10,000 ane 12 author per 10,000 9 dialect per 10,000 hoose 12 author per 10,000 7 dialect per 10,000 suppose 12 author per 10,000 1 dialect per 10,000 although 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 5 dialect per 10,000 sure 12 author per 10,000 2 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 20 dialect per 10,000 reed 12 author per 10,000 0 dialect per 10,000 onything 12 author per 10,000 0 dialect per 10,000 parents 12 author per 10,000 1 dialect per 10,000 teachers 12 author per 10,000 1 dialect per 10,000 somebody 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 fair 12 author per 10,000 4 dialect per 10,000 try 12 author per 10,000 2 dialect per 10,000 neither 12 author per 10,000 1 dialect per 10,000 didna 12 author per 10,000 4 dialect per 10,000 begin 12 author per 10,000 0 dialect per 10,000 thought 12 author per 10,000 2 dialect per 10,000 day 12 author per 10,000 14 dialect per 10,000 names 12 author per 10,000 1 dialect per 10,000 hair 12 author per 10,000 3 dialect per 10,000 caad 12 author per 10,000 0 dialect per 10,000 aabody 12 author per 10,000 1 dialect per 10,000 i'm 12 author per 10,000 4 dialect per 10,000 some 12 author per 10,000 13 dialect per 10,000 shed 12 author per 10,000 0 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 3 dialect per 10,000 help 12 author per 10,000 4 dialect per 10,000 quate 12 author per 10,000 0 dialect per 10,000 nose 12 author per 10,000 1 dialect per 10,000 right 12 author per 10,000 5 dialect per 10,000 grun 12 author per 10,000 1 dialect per 10,000 winted 12 author per 10,000 0 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 2 dialect per 10,000 did 12 author per 10,000 9 dialect per 10,000 things 12 author per 10,000 5 dialect per 10,000 friday 12 author per 10,000 1 dialect per 10,000 ither 12 author per 10,000 11 dialect per 10,000 hand 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 7 dialect per 10,000 feelin 12 author per 10,000 2 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 23 dialect per 10,000 pick 12 author per 10,000 1 dialect per 10,000 wir 12 author per 10,000 4 dialect per 10,000 winter 12 author per 10,000 1 dialect per 10,000 intae 12 author per 10,000 18 dialect per 10,000 folk 12 author per 10,000 5 dialect per 10,000 hame 12 author per 10,000 6 dialect per 10,000 alec 12 author per 10,000 0 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 9 dialect per 10,000 were 12 author per 10,000 15 dialect per 10,000 happened 12 author per 10,000 1 dialect per 10,000 let 12 author per 10,000 4 dialect per 10,000 foo 12 author per 10,000 0 dialect per 10,000 bonnie 12 author per 10,000 2 dialect per 10,000 it's 12 author per 10,000 17 dialect per 10,000 happy 12 author per 10,000 1 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 3 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 hate 12 author per 10,000 1 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 4 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 0 dialect per 10,000 mam 6 author per 10,000 0 dialect per 10,000 ta 6 author per 10,000 0 dialect per 10,000 byre 6 author per 10,000 0 dialect per 10,000 claes 6 author per 10,000 2 dialect per 10,000 simmer 6 author per 10,000 1 dialect per 10,000 		Doric
the 545 author per 10,000 451 dialect per 10,000 an 471 author per 10,000 306 dialect per 10,000 i 353 author per 10,000 67 dialect per 10,000 wis 279 author per 10,000 104 dialect per 10,000 tae 211 author per 10,000 171 dialect per 10,000 o 198 author per 10,000 176 dialect per 10,000 it 180 author per 10,000 99 dialect per 10,000 a 173 author per 10,000 315 dialect per 10,000 wi 118 author per 10,000 77 dialect per 10,000 that 118 author per 10,000 53 dialect per 10,000 on 118 author per 10,000 67 dialect per 10,000 fit 111 author per 10,000 40 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 64 dialect per 10,000 in 99 author per 10,000 131 dialect per 10,000 she 93 author per 10,000 66 dialect per 10,000 they 93 author per 10,000 36 dialect per 10,000 hid 87 author per 10,000 33 dialect per 10,000 ye 74 author per 10,000 93 dialect per 10,000 wid 74 author per 10,000 18 dialect per 10,000 bit 74 author per 10,000 43 dialect per 10,000 me 68 author per 10,000 32 dialect per 10,000 for 68 author per 10,000 45 dialect per 10,000 jist 68 author per 10,000 36 dialect per 10,000 we 68 author per 10,000 33 dialect per 10,000 ma 62 author per 10,000 50 dialect per 10,000 us 62 author per 10,000 6 dialect per 10,000 he 62 author per 10,000 97 dialect per 10,000 aa 56 author per 10,000 43 dialect per 10,000 tee 50 author per 10,000 2 dialect per 10,000 at 50 author per 10,000 68 dialect per 10,000 is 50 author per 10,000 39 dialect per 10,000 school 43 author per 10,000 1 dialect per 10,000 fur 43 author per 10,000 18 dialect per 10,000 my 43 author per 10,000 11 dialect per 10,000 name 43 author per 10,000 4 dialect per 10,000 oot 37 author per 10,000 50 dialect per 10,000 said 37 author per 10,000 36 dialect per 10,000 doon 37 author per 10,000 33 dialect per 10,000 as 37 author per 10,000 52 dialect per 10,000 so 37 author per 10,000 17 dialect per 10,000 got 37 author per 10,000 14 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 47 dialect per 10,000 oor 37 author per 10,000 8 dialect per 10,000 or 37 author per 10,000 26 dialect per 10,000 gan 37 author per 10,000 5 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 stuff 31 author per 10,000 2 dialect per 10,000 aboot 31 author per 10,000 33 dialect per 10,000 tell 31 author per 10,000 9 dialect per 10,000 can 31 author per 10,000 12 dialect per 10,000 dee 31 author per 10,000 10 dialect per 10,000 fin 31 author per 10,000 19 dialect per 10,000 yer 31 author per 10,000 35 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 50 dialect per 10,000 started 31 author per 10,000 2 dialect per 10,000 this 31 author per 10,000 19 dialect per 10,000 kint 25 author per 10,000 1 dialect per 10,000 - 25 author per 10,000 28 dialect per 10,000 dinna 25 author per 10,000 16 dialect per 10,000 there 25 author per 10,000 22 dialect per 10,000 kept 25 author per 10,000 2 dialect per 10,000 get 25 author per 10,000 16 dialect per 10,000 only 25 author per 10,000 6 dialect per 10,000 say 25 author per 10,000 14 dialect per 10,000 wint 25 author per 10,000 7 dialect per 10,000 niver 25 author per 10,000 4 dialect per 10,000 noo 25 author per 10,000 23 dialect per 10,000 you 25 author per 10,000 17 dialect per 10,000 his 25 author per 10,000 69 dialect per 10,000 loons 19 author per 10,000 2 dialect per 10,000 aifter 19 author per 10,000 4 dialect per 10,000 by 19 author per 10,000 9 dialect per 10,000 quine 19 author per 10,000 6 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 story 19 author per 10,000 2 dialect per 10,000 hiv 19 author per 10,000 9 dialect per 10,000 heid 19 author per 10,000 12 dialect per 10,000 be 19 author per 10,000 45 dialect per 10,000 then 19 author per 10,000 9 dialect per 10,000 wisna 19 author per 10,000 7 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 next 19 author per 10,000 3 dialect per 10,000 mind 19 author per 10,000 5 dialect per 10,000 ken 19 author per 10,000 23 dialect per 10,000 mair 19 author per 10,000 17 dialect per 10,000 could 19 author per 10,000 8 dialect per 10,000 first 19 author per 10,000 7 dialect per 10,000 quines 19 author per 10,000 2 dialect per 10,000 came 19 author per 10,000 4 dialect per 10,000 time 19 author per 10,000 19 dialect per 10,000 dae 19 author per 10,000 5 dialect per 10,000 ower 19 author per 10,000 30 dialect per 10,000 are 19 author per 10,000 13 dialect per 10,000 will 19 author per 10,000 9 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 2 dialect per 10,000 really 19 author per 10,000 4 dialect per 10,000 couldna 19 author per 10,000 2 dialect per 10,000 fae 19 author per 10,000 30 dialect per 10,000 pals 19 author per 10,000 1 dialect per 10,000 awa 19 author per 10,000 21 dialect per 10,000 and 19 author per 10,000 41 dialect per 10,000 like 19 author per 10,000 37 dialect per 10,000 weel 19 author per 10,000 19 dialect per 10,000 dad 19 author per 10,000 1 dialect per 10,000 neist 19 author per 10,000 3 dialect per 10,000 fairm 19 author per 10,000 1 dialect per 10,000 them 19 author per 10,000 23 dialect per 10,000 except 19 author per 10,000 0 dialect per 10,000 spik 19 author per 10,000 3 dialect per 10,000 if 19 author per 10,000 16 dialect per 10,000 wye 19 author per 10,000 12 dialect per 10,000 auld 12 author per 10,000 8 dialect per 10,000 cos 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 8 dialect per 10,000 anither 12 author per 10,000 8 dialect per 10,000 ane 12 author per 10,000 5 dialect per 10,000 hoose 12 author per 10,000 10 dialect per 10,000 suppose 12 author per 10,000 1 dialect per 10,000 although 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 7 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 see 12 author per 10,000 21 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 21 dialect per 10,000 reed 12 author per 10,000 2 dialect per 10,000 onything 12 author per 10,000 1 dialect per 10,000 parents 12 author per 10,000 0 dialect per 10,000 teachers 12 author per 10,000 0 dialect per 10,000 somebody 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 3 dialect per 10,000 fair 12 author per 10,000 7 dialect per 10,000 try 12 author per 10,000 3 dialect per 10,000 neither 12 author per 10,000 1 dialect per 10,000 didna 12 author per 10,000 11 dialect per 10,000 begin 12 author per 10,000 1 dialect per 10,000 thought 12 author per 10,000 0 dialect per 10,000 day 12 author per 10,000 26 dialect per 10,000 names 12 author per 10,000 1 dialect per 10,000 hair 12 author per 10,000 3 dialect per 10,000 caad 12 author per 10,000 2 dialect per 10,000 aabody 12 author per 10,000 2 dialect per 10,000 i'm 12 author per 10,000 8 dialect per 10,000 some 12 author per 10,000 13 dialect per 10,000 shed 12 author per 10,000 0 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 2 dialect per 10,000 help 12 author per 10,000 4 dialect per 10,000 quate 12 author per 10,000 1 dialect per 10,000 nose 12 author per 10,000 1 dialect per 10,000 right 12 author per 10,000 1 dialect per 10,000 grun 12 author per 10,000 3 dialect per 10,000 winted 12 author per 10,000 1 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 2 dialect per 10,000 did 12 author per 10,000 10 dialect per 10,000 things 12 author per 10,000 6 dialect per 10,000 friday 12 author per 10,000 2 dialect per 10,000 ither 12 author per 10,000 8 dialect per 10,000 hand 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 8 dialect per 10,000 feelin 12 author per 10,000 2 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 20 dialect per 10,000 pick 12 author per 10,000 1 dialect per 10,000 wir 12 author per 10,000 5 dialect per 10,000 winter 12 author per 10,000 2 dialect per 10,000 intae 12 author per 10,000 10 dialect per 10,000 folk 12 author per 10,000 4 dialect per 10,000 hame 12 author per 10,000 11 dialect per 10,000 alec 12 author per 10,000 1 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 11 dialect per 10,000 were 12 author per 10,000 13 dialect per 10,000 happened 12 author per 10,000 2 dialect per 10,000 let 12 author per 10,000 5 dialect per 10,000 foo 12 author per 10,000 7 dialect per 10,000 bonnie 12 author per 10,000 4 dialect per 10,000 it's 12 author per 10,000 19 dialect per 10,000 happy 12 author per 10,000 2 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 7 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 hate 12 author per 10,000 0 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 4 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 1 dialect per 10,000 mam 6 author per 10,000 2 dialect per 10,000 ta 6 author per 10,000 1 dialect per 10,000 byre 6 author per 10,000 1 dialect per 10,000 claes 6 author per 10,000 2 dialect per 10,000 simmer 6 author per 10,000 1 dialect per 10,000
Shetland
the 545 author per 10,000 18 dialect per 10,000 an 471 author per 10,000 330 dialect per 10,000 i 353 author per 10,000 143 dialect per 10,000 wis 279 author per 10,000 162 dialect per 10,000 tae 211 author per 10,000 86 dialect per 10,000 o 198 author per 10,000 177 dialect per 10,000 it 180 author per 10,000 58 dialect per 10,000 a 173 author per 10,000 280 dialect per 10,000 wi 118 author per 10,000 95 dialect per 10,000 that 118 author per 10,000 4 dialect per 10,000 on 118 author per 10,000 52 dialect per 10,000 fit 111 author per 10,000 4 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 64 dialect per 10,000 in 99 author per 10,000 105 dialect per 10,000 she 93 author per 10,000 7 dialect per 10,000 they 93 author per 10,000 2 dialect per 10,000 hid 87 author per 10,000 1 dialect per 10,000 ye 74 author per 10,000 0 dialect per 10,000 wid 74 author per 10,000 38 dialect per 10,000 bit 74 author per 10,000 38 dialect per 10,000 me 68 author per 10,000 41 dialect per 10,000 for 68 author per 10,000 35 dialect per 10,000 jist 68 author per 10,000 0 dialect per 10,000 we 68 author per 10,000 44 dialect per 10,000 ma 62 author per 10,000 0 dialect per 10,000 us 62 author per 10,000 0 dialect per 10,000 he 62 author per 10,000 103 dialect per 10,000 aa 56 author per 10,000 51 dialect per 10,000 tee 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 112 dialect per 10,000 is 50 author per 10,000 81 dialect per 10,000 school 43 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 32 dialect per 10,000 my 43 author per 10,000 23 dialect per 10,000 name 43 author per 10,000 4 dialect per 10,000 oot 37 author per 10,000 42 dialect per 10,000 said 37 author per 10,000 61 dialect per 10,000 doon 37 author per 10,000 22 dialect per 10,000 as 37 author per 10,000 79 dialect per 10,000 so 37 author per 10,000 26 dialect per 10,000 got 37 author per 10,000 8 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 42 dialect per 10,000 oor 37 author per 10,000 1 dialect per 10,000 or 37 author per 10,000 32 dialect per 10,000 gan 37 author per 10,000 0 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 stuff 31 author per 10,000 1 dialect per 10,000 aboot 31 author per 10,000 41 dialect per 10,000 tell 31 author per 10,000 8 dialect per 10,000 can 31 author per 10,000 20 dialect per 10,000 dee 31 author per 10,000 21 dialect per 10,000 fin 31 author per 10,000 7 dialect per 10,000 yer 31 author per 10,000 0 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 23 dialect per 10,000 started 31 author per 10,000 1 dialect per 10,000 this 31 author per 10,000 1 dialect per 10,000 kint 25 author per 10,000 0 dialect per 10,000 - 25 author per 10,000 53 dialect per 10,000 dinna 25 author per 10,000 0 dialect per 10,000 there 25 author per 10,000 1 dialect per 10,000 kept 25 author per 10,000 1 dialect per 10,000 get 25 author per 10,000 6 dialect per 10,000 only 25 author per 10,000 5 dialect per 10,000 say 25 author per 10,000 11 dialect per 10,000 wint 25 author per 10,000 4 dialect per 10,000 niver 25 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 19 dialect per 10,000 you 25 author per 10,000 51 dialect per 10,000 his 25 author per 10,000 52 dialect per 10,000 loons 19 author per 10,000 0 dialect per 10,000 aifter 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 quine 19 author per 10,000 0 dialect per 10,000 aff 19 author per 10,000 18 dialect per 10,000 story 19 author per 10,000 3 dialect per 10,000 hiv 19 author per 10,000 1 dialect per 10,000 heid 19 author per 10,000 2 dialect per 10,000 be 19 author per 10,000 56 dialect per 10,000 then 19 author per 10,000 1 dialect per 10,000 wisna 19 author per 10,000 9 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 next 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 10 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 mair 19 author per 10,000 19 dialect per 10,000 could 19 author per 10,000 12 dialect per 10,000 first 19 author per 10,000 10 dialect per 10,000 quines 19 author per 10,000 0 dialect per 10,000 came 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 21 dialect per 10,000 dae 19 author per 10,000 2 dialect per 10,000 ower 19 author per 10,000 24 dialect per 10,000 are 19 author per 10,000 2 dialect per 10,000 will 19 author per 10,000 9 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 0 dialect per 10,000 really 19 author per 10,000 2 dialect per 10,000 couldna 19 author per 10,000 4 dialect per 10,000 fae 19 author per 10,000 40 dialect per 10,000 pals 19 author per 10,000 0 dialect per 10,000 awa 19 author per 10,000 13 dialect per 10,000 and 19 author per 10,000 15 dialect per 10,000 like 19 author per 10,000 2 dialect per 10,000 weel 19 author per 10,000 18 dialect per 10,000 dad 19 author per 10,000 2 dialect per 10,000 neist 19 author per 10,000 1 dialect per 10,000 fairm 19 author per 10,000 0 dialect per 10,000 them 19 author per 10,000 1 dialect per 10,000 except 19 author per 10,000 0 dialect per 10,000 spik 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 25 dialect per 10,000 wye 19 author per 10,000 24 dialect per 10,000 auld 12 author per 10,000 1 dialect per 10,000 cos 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 anither 12 author per 10,000 0 dialect per 10,000 ane 12 author per 10,000 4 dialect per 10,000 hoose 12 author per 10,000 8 dialect per 10,000 suppose 12 author per 10,000 1 dialect per 10,000 although 12 author per 10,000 1 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 7 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 see 12 author per 10,000 20 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 18 dialect per 10,000 reed 12 author per 10,000 0 dialect per 10,000 onything 12 author per 10,000 5 dialect per 10,000 parents 12 author per 10,000 0 dialect per 10,000 teachers 12 author per 10,000 0 dialect per 10,000 somebody 12 author per 10,000 0 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 fair 12 author per 10,000 1 dialect per 10,000 try 12 author per 10,000 2 dialect per 10,000 neither 12 author per 10,000 0 dialect per 10,000 didna 12 author per 10,000 10 dialect per 10,000 begin 12 author per 10,000 0 dialect per 10,000 thought 12 author per 10,000 0 dialect per 10,000 day 12 author per 10,000 18 dialect per 10,000 names 12 author per 10,000 1 dialect per 10,000 hair 12 author per 10,000 3 dialect per 10,000 caad 12 author per 10,000 3 dialect per 10,000 aabody 12 author per 10,000 4 dialect per 10,000 i'm 12 author per 10,000 2 dialect per 10,000 some 12 author per 10,000 13 dialect per 10,000 shed 12 author per 10,000 0 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 1 dialect per 10,000 help 12 author per 10,000 3 dialect per 10,000 quate 12 author per 10,000 0 dialect per 10,000 nose 12 author per 10,000 1 dialect per 10,000 right 12 author per 10,000 5 dialect per 10,000 grun 12 author per 10,000 0 dialect per 10,000 winted 12 author per 10,000 0 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 2 dialect per 10,000 did 12 author per 10,000 9 dialect per 10,000 things 12 author per 10,000 7 dialect per 10,000 friday 12 author per 10,000 1 dialect per 10,000 ither 12 author per 10,000 0 dialect per 10,000 hand 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 1 dialect per 10,000 feelin 12 author per 10,000 2 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 25 dialect per 10,000 pick 12 author per 10,000 1 dialect per 10,000 wir 12 author per 10,000 50 dialect per 10,000 winter 12 author per 10,000 2 dialect per 10,000 intae 12 author per 10,000 8 dialect per 10,000 folk 12 author per 10,000 1 dialect per 10,000 hame 12 author per 10,000 7 dialect per 10,000 alec 12 author per 10,000 1 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 1 dialect per 10,000 were 12 author per 10,000 3 dialect per 10,000 happened 12 author per 10,000 2 dialect per 10,000 let 12 author per 10,000 1 dialect per 10,000 foo 12 author per 10,000 11 dialect per 10,000 bonnie 12 author per 10,000 0 dialect per 10,000 it's 12 author per 10,000 8 dialect per 10,000 happy 12 author per 10,000 1 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 8 dialect per 10,000 same 12 author per 10,000 0 dialect per 10,000 hate 12 author per 10,000 0 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 4 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 1 dialect per 10,000 mam 6 author per 10,000 5 dialect per 10,000 ta 6 author per 10,000 152 dialect per 10,000 byre 6 author per 10,000 1 dialect per 10,000 claes 6 author per 10,000 1 dialect per 10,000 simmer 6 author per 10,000 2 dialect per 10,000 		Orkney
the 545 author per 10,000 582 dialect per 10,000 an 471 author per 10,000 172 dialect per 10,000 i 353 author per 10,000 158 dialect per 10,000 wis 279 author per 10,000 80 dialect per 10,000 tae 211 author per 10,000 223 dialect per 10,000 o 198 author per 10,000 202 dialect per 10,000 it 180 author per 10,000 23 dialect per 10,000 a 173 author per 10,000 298 dialect per 10,000 wi 118 author per 10,000 46 dialect per 10,000 that 118 author per 10,000 75 dialect per 10,000 on 118 author per 10,000 73 dialect per 10,000 fit 111 author per 10,000 1 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 49 dialect per 10,000 in 99 author per 10,000 146 dialect per 10,000 she 93 author per 10,000 9 dialect per 10,000 they 93 author per 10,000 37 dialect per 10,000 hid 87 author per 10,000 91 dialect per 10,000 ye 74 author per 10,000 17 dialect per 10,000 wid 74 author per 10,000 20 dialect per 10,000 bit 74 author per 10,000 48 dialect per 10,000 me 68 author per 10,000 115 dialect per 10,000 for 68 author per 10,000 26 dialect per 10,000 jist 68 author per 10,000 3 dialect per 10,000 we 68 author per 10,000 29 dialect per 10,000 ma 62 author per 10,000 1 dialect per 10,000 us 62 author per 10,000 6 dialect per 10,000 he 62 author per 10,000 85 dialect per 10,000 aa 56 author per 10,000 8 dialect per 10,000 tee 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 54 dialect per 10,000 is 50 author per 10,000 71 dialect per 10,000 school 43 author per 10,000 1 dialect per 10,000 fur 43 author per 10,000 49 dialect per 10,000 my 43 author per 10,000 5 dialect per 10,000 name 43 author per 10,000 2 dialect per 10,000 oot 37 author per 10,000 50 dialect per 10,000 said 37 author per 10,000 15 dialect per 10,000 doon 37 author per 10,000 28 dialect per 10,000 as 37 author per 10,000 48 dialect per 10,000 so 37 author per 10,000 30 dialect per 10,000 got 37 author per 10,000 11 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 34 dialect per 10,000 oor 37 author per 10,000 2 dialect per 10,000 or 37 author per 10,000 30 dialect per 10,000 gan 37 author per 10,000 2 dialect per 10,000 baith 31 author per 10,000 1 dialect per 10,000 stuff 31 author per 10,000 1 dialect per 10,000 aboot 31 author per 10,000 26 dialect per 10,000 tell 31 author per 10,000 6 dialect per 10,000 can 31 author per 10,000 13 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 fin 31 author per 10,000 0 dialect per 10,000 yer 31 author per 10,000 7 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 3 dialect per 10,000 started 31 author per 10,000 2 dialect per 10,000 this 31 author per 10,000 34 dialect per 10,000 kint 25 author per 10,000 0 dialect per 10,000 - 25 author per 10,000 76 dialect per 10,000 dinna 25 author per 10,000 4 dialect per 10,000 there 25 author per 10,000 18 dialect per 10,000 kept 25 author per 10,000 1 dialect per 10,000 get 25 author per 10,000 9 dialect per 10,000 only 25 author per 10,000 7 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 wint 25 author per 10,000 0 dialect per 10,000 niver 25 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 27 dialect per 10,000 you 25 author per 10,000 35 dialect per 10,000 his 25 author per 10,000 61 dialect per 10,000 loons 19 author per 10,000 0 dialect per 10,000 aifter 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 16 dialect per 10,000 quine 19 author per 10,000 0 dialect per 10,000 aff 19 author per 10,000 8 dialect per 10,000 story 19 author per 10,000 2 dialect per 10,000 hiv 19 author per 10,000 13 dialect per 10,000 heid 19 author per 10,000 5 dialect per 10,000 be 19 author per 10,000 42 dialect per 10,000 then 19 author per 10,000 18 dialect per 10,000 wisna 19 author per 10,000 4 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 next 19 author per 10,000 4 dialect per 10,000 mind 19 author per 10,000 9 dialect per 10,000 ken 19 author per 10,000 15 dialect per 10,000 mair 19 author per 10,000 1 dialect per 10,000 could 19 author per 10,000 13 dialect per 10,000 first 19 author per 10,000 7 dialect per 10,000 quines 19 author per 10,000 0 dialect per 10,000 came 19 author per 10,000 1 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 dae 19 author per 10,000 10 dialect per 10,000 ower 19 author per 10,000 18 dialect per 10,000 are 19 author per 10,000 14 dialect per 10,000 will 19 author per 10,000 12 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 1 dialect per 10,000 really 19 author per 10,000 4 dialect per 10,000 couldna 19 author per 10,000 5 dialect per 10,000 fae 19 author per 10,000 39 dialect per 10,000 pals 19 author per 10,000 1 dialect per 10,000 awa 19 author per 10,000 1 dialect per 10,000 and 19 author per 10,000 199 dialect per 10,000 like 19 author per 10,000 31 dialect per 10,000 weel 19 author per 10,000 17 dialect per 10,000 dad 19 author per 10,000 1 dialect per 10,000 neist 19 author per 10,000 0 dialect per 10,000 fairm 19 author per 10,000 0 dialect per 10,000 them 19 author per 10,000 18 dialect per 10,000 except 19 author per 10,000 1 dialect per 10,000 spik 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 15 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 auld 12 author per 10,000 1 dialect per 10,000 cos 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 anither 12 author per 10,000 8 dialect per 10,000 ane 12 author per 10,000 1 dialect per 10,000 hoose 12 author per 10,000 11 dialect per 10,000 suppose 12 author per 10,000 1 dialect per 10,000 although 12 author per 10,000 1 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 4 dialect per 10,000 sure 12 author per 10,000 5 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 26 dialect per 10,000 reed 12 author per 10,000 3 dialect per 10,000 onything 12 author per 10,000 0 dialect per 10,000 parents 12 author per 10,000 1 dialect per 10,000 teachers 12 author per 10,000 0 dialect per 10,000 somebody 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 3 dialect per 10,000 fair 12 author per 10,000 3 dialect per 10,000 try 12 author per 10,000 2 dialect per 10,000 neither 12 author per 10,000 0 dialect per 10,000 didna 12 author per 10,000 8 dialect per 10,000 begin 12 author per 10,000 0 dialect per 10,000 thought 12 author per 10,000 0 dialect per 10,000 day 12 author per 10,000 20 dialect per 10,000 names 12 author per 10,000 0 dialect per 10,000 hair 12 author per 10,000 3 dialect per 10,000 caad 12 author per 10,000 2 dialect per 10,000 aabody 12 author per 10,000 0 dialect per 10,000 i'm 12 author per 10,000 1 dialect per 10,000 some 12 author per 10,000 17 dialect per 10,000 shed 12 author per 10,000 2 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 1 dialect per 10,000 help 12 author per 10,000 2 dialect per 10,000 quate 12 author per 10,000 0 dialect per 10,000 nose 12 author per 10,000 2 dialect per 10,000 right 12 author per 10,000 17 dialect per 10,000 grun 12 author per 10,000 0 dialect per 10,000 winted 12 author per 10,000 0 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 3 dialect per 10,000 did 12 author per 10,000 8 dialect per 10,000 things 12 author per 10,000 9 dialect per 10,000 friday 12 author per 10,000 1 dialect per 10,000 ither 12 author per 10,000 9 dialect per 10,000 hand 12 author per 10,000 6 dialect per 10,000 made 12 author per 10,000 3 dialect per 10,000 feelin 12 author per 10,000 0 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 11 dialect per 10,000 pick 12 author per 10,000 1 dialect per 10,000 wir 12 author per 10,000 27 dialect per 10,000 winter 12 author per 10,000 3 dialect per 10,000 intae 12 author per 10,000 18 dialect per 10,000 folk 12 author per 10,000 9 dialect per 10,000 hame 12 author per 10,000 1 dialect per 10,000 alec 12 author per 10,000 0 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 10 dialect per 10,000 were 12 author per 10,000 6 dialect per 10,000 happened 12 author per 10,000 1 dialect per 10,000 let 12 author per 10,000 3 dialect per 10,000 foo 12 author per 10,000 0 dialect per 10,000 bonnie 12 author per 10,000 2 dialect per 10,000 it's 12 author per 10,000 4 dialect per 10,000 happy 12 author per 10,000 3 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 3 dialect per 10,000 same 12 author per 10,000 3 dialect per 10,000 hate 12 author per 10,000 1 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 4 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 2 dialect per 10,000 mam 6 author per 10,000 1 dialect per 10,000 ta 6 author per 10,000 0 dialect per 10,000 byre 6 author per 10,000 1 dialect per 10,000 claes 6 author per 10,000 4 dialect per 10,000 simmer 6 author per 10,000 0 dialect per 10,000
Southern
the 545 author per 10,000 449 dialect per 10,000 an 471 author per 10,000 289 dialect per 10,000 i 353 author per 10,000 74 dialect per 10,000 wis 279 author per 10,000 54 dialect per 10,000 tae 211 author per 10,000 206 dialect per 10,000 o 198 author per 10,000 200 dialect per 10,000 it 180 author per 10,000 63 dialect per 10,000 a 173 author per 10,000 230 dialect per 10,000 wi 118 author per 10,000 66 dialect per 10,000 that 118 author per 10,000 65 dialect per 10,000 on 118 author per 10,000 55 dialect per 10,000 fit 111 author per 10,000 5 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 17 dialect per 10,000 in 99 author per 10,000 107 dialect per 10,000 she 93 author per 10,000 91 dialect per 10,000 they 93 author per 10,000 31 dialect per 10,000 hid 87 author per 10,000 0 dialect per 10,000 ye 74 author per 10,000 21 dialect per 10,000 wid 74 author per 10,000 1 dialect per 10,000 bit 74 author per 10,000 14 dialect per 10,000 me 68 author per 10,000 16 dialect per 10,000 for 68 author per 10,000 22 dialect per 10,000 jist 68 author per 10,000 11 dialect per 10,000 we 68 author per 10,000 10 dialect per 10,000 ma 62 author per 10,000 59 dialect per 10,000 us 62 author per 10,000 5 dialect per 10,000 he 62 author per 10,000 12 dialect per 10,000 aa 56 author per 10,000 10 dialect per 10,000 tee 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 69 dialect per 10,000 is 50 author per 10,000 62 dialect per 10,000 school 43 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 42 dialect per 10,000 my 43 author per 10,000 1 dialect per 10,000 name 43 author per 10,000 4 dialect per 10,000 oot 37 author per 10,000 34 dialect per 10,000 said 37 author per 10,000 65 dialect per 10,000 doon 37 author per 10,000 24 dialect per 10,000 as 37 author per 10,000 50 dialect per 10,000 so 37 author per 10,000 3 dialect per 10,000 got 37 author per 10,000 10 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 41 dialect per 10,000 oor 37 author per 10,000 11 dialect per 10,000 or 37 author per 10,000 22 dialect per 10,000 gan 37 author per 10,000 2 dialect per 10,000 baith 31 author per 10,000 8 dialect per 10,000 stuff 31 author per 10,000 1 dialect per 10,000 aboot 31 author per 10,000 29 dialect per 10,000 tell 31 author per 10,000 9 dialect per 10,000 can 31 author per 10,000 10 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 fin 31 author per 10,000 1 dialect per 10,000 yer 31 author per 10,000 17 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 25 dialect per 10,000 started 31 author per 10,000 0 dialect per 10,000 this 31 author per 10,000 35 dialect per 10,000 kint 25 author per 10,000 0 dialect per 10,000 - 25 author per 10,000 29 dialect per 10,000 dinna 25 author per 10,000 2 dialect per 10,000 there 25 author per 10,000 16 dialect per 10,000 kept 25 author per 10,000 2 dialect per 10,000 get 25 author per 10,000 10 dialect per 10,000 only 25 author per 10,000 7 dialect per 10,000 say 25 author per 10,000 17 dialect per 10,000 wint 25 author per 10,000 0 dialect per 10,000 niver 25 author per 10,000 1 dialect per 10,000 noo 25 author per 10,000 16 dialect per 10,000 you 25 author per 10,000 3 dialect per 10,000 his 25 author per 10,000 37 dialect per 10,000 loons 19 author per 10,000 0 dialect per 10,000 aifter 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 5 dialect per 10,000 quine 19 author per 10,000 0 dialect per 10,000 aff 19 author per 10,000 4 dialect per 10,000 story 19 author per 10,000 3 dialect per 10,000 hiv 19 author per 10,000 0 dialect per 10,000 heid 19 author per 10,000 16 dialect per 10,000 be 19 author per 10,000 13 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 wisna 19 author per 10,000 1 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 next 19 author per 10,000 5 dialect per 10,000 mind 19 author per 10,000 8 dialect per 10,000 ken 19 author per 10,000 17 dialect per 10,000 mair 19 author per 10,000 16 dialect per 10,000 could 19 author per 10,000 13 dialect per 10,000 first 19 author per 10,000 2 dialect per 10,000 quines 19 author per 10,000 0 dialect per 10,000 came 19 author per 10,000 6 dialect per 10,000 time 19 author per 10,000 14 dialect per 10,000 dae 19 author per 10,000 14 dialect per 10,000 ower 19 author per 10,000 13 dialect per 10,000 are 19 author per 10,000 9 dialect per 10,000 will 19 author per 10,000 3 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 2 dialect per 10,000 really 19 author per 10,000 2 dialect per 10,000 couldna 19 author per 10,000 1 dialect per 10,000 fae 19 author per 10,000 0 dialect per 10,000 pals 19 author per 10,000 0 dialect per 10,000 awa 19 author per 10,000 14 dialect per 10,000 and 19 author per 10,000 33 dialect per 10,000 like 19 author per 10,000 8 dialect per 10,000 weel 19 author per 10,000 4 dialect per 10,000 dad 19 author per 10,000 0 dialect per 10,000 neist 19 author per 10,000 2 dialect per 10,000 fairm 19 author per 10,000 0 dialect per 10,000 them 19 author per 10,000 5 dialect per 10,000 except 19 author per 10,000 1 dialect per 10,000 spik 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 17 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 auld 12 author per 10,000 22 dialect per 10,000 cos 12 author per 10,000 2 dialect per 10,000 seen 12 author per 10,000 5 dialect per 10,000 anither 12 author per 10,000 7 dialect per 10,000 ane 12 author per 10,000 8 dialect per 10,000 hoose 12 author per 10,000 20 dialect per 10,000 suppose 12 author per 10,000 2 dialect per 10,000 although 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 5 dialect per 10,000 sure 12 author per 10,000 1 dialect per 10,000 see 12 author per 10,000 5 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 19 dialect per 10,000 reed 12 author per 10,000 0 dialect per 10,000 onything 12 author per 10,000 0 dialect per 10,000 parents 12 author per 10,000 0 dialect per 10,000 teachers 12 author per 10,000 0 dialect per 10,000 somebody 12 author per 10,000 1 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 fair 12 author per 10,000 13 dialect per 10,000 try 12 author per 10,000 3 dialect per 10,000 neither 12 author per 10,000 0 dialect per 10,000 didna 12 author per 10,000 2 dialect per 10,000 begin 12 author per 10,000 0 dialect per 10,000 thought 12 author per 10,000 1 dialect per 10,000 day 12 author per 10,000 17 dialect per 10,000 names 12 author per 10,000 2 dialect per 10,000 hair 12 author per 10,000 2 dialect per 10,000 caad 12 author per 10,000 0 dialect per 10,000 aabody 12 author per 10,000 0 dialect per 10,000 i'm 12 author per 10,000 1 dialect per 10,000 some 12 author per 10,000 12 dialect per 10,000 shed 12 author per 10,000 1 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 2 dialect per 10,000 help 12 author per 10,000 2 dialect per 10,000 quate 12 author per 10,000 0 dialect per 10,000 nose 12 author per 10,000 1 dialect per 10,000 right 12 author per 10,000 1 dialect per 10,000 grun 12 author per 10,000 0 dialect per 10,000 winted 12 author per 10,000 0 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 3 dialect per 10,000 did 12 author per 10,000 11 dialect per 10,000 things 12 author per 10,000 2 dialect per 10,000 friday 12 author per 10,000 0 dialect per 10,000 ither 12 author per 10,000 12 dialect per 10,000 hand 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 feelin 12 author per 10,000 1 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 35 dialect per 10,000 pick 12 author per 10,000 1 dialect per 10,000 wir 12 author per 10,000 1 dialect per 10,000 winter 12 author per 10,000 1 dialect per 10,000 intae 12 author per 10,000 10 dialect per 10,000 folk 12 author per 10,000 3 dialect per 10,000 hame 12 author per 10,000 8 dialect per 10,000 alec 12 author per 10,000 0 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 7 dialect per 10,000 were 12 author per 10,000 15 dialect per 10,000 happened 12 author per 10,000 1 dialect per 10,000 let 12 author per 10,000 3 dialect per 10,000 foo 12 author per 10,000 0 dialect per 10,000 bonnie 12 author per 10,000 2 dialect per 10,000 it's 12 author per 10,000 8 dialect per 10,000 happy 12 author per 10,000 0 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 2 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 hate 12 author per 10,000 0 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 5 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 0 dialect per 10,000 mam 6 author per 10,000 0 dialect per 10,000 ta 6 author per 10,000 0 dialect per 10,000 byre 6 author per 10,000 1 dialect per 10,000 claes 6 author per 10,000 1 dialect per 10,000 simmer 6 author per 10,000 2 dialect per 10,000 		Ulster
the 545 author per 10,000 345 dialect per 10,000 an 471 author per 10,000 358 dialect per 10,000 i 353 author per 10,000 16 dialect per 10,000 wis 279 author per 10,000 1 dialect per 10,000 tae 211 author per 10,000 253 dialect per 10,000 o 198 author per 10,000 208 dialect per 10,000 it 180 author per 10,000 73 dialect per 10,000 a 173 author per 10,000 287 dialect per 10,000 wi 118 author per 10,000 63 dialect per 10,000 that 118 author per 10,000 71 dialect per 10,000 on 118 author per 10,000 57 dialect per 10,000 fit 111 author per 10,000 4 dialect per 10,000 ellen 105 author per 10,000 0 dialect per 10,000 her 105 author per 10,000 8 dialect per 10,000 in 99 author per 10,000 121 dialect per 10,000 she 93 author per 10,000 31 dialect per 10,000 they 93 author per 10,000 26 dialect per 10,000 hid 87 author per 10,000 0 dialect per 10,000 ye 74 author per 10,000 79 dialect per 10,000 wid 74 author per 10,000 1 dialect per 10,000 bit 74 author per 10,000 10 dialect per 10,000 me 68 author per 10,000 24 dialect per 10,000 for 68 author per 10,000 30 dialect per 10,000 jist 68 author per 10,000 8 dialect per 10,000 we 68 author per 10,000 18 dialect per 10,000 ma 62 author per 10,000 23 dialect per 10,000 us 62 author per 10,000 4 dialect per 10,000 he 62 author per 10,000 62 dialect per 10,000 aa 56 author per 10,000 41 dialect per 10,000 tee 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 58 dialect per 10,000 is 50 author per 10,000 18 dialect per 10,000 school 43 author per 10,000 1 dialect per 10,000 fur 43 author per 10,000 48 dialect per 10,000 my 43 author per 10,000 2 dialect per 10,000 name 43 author per 10,000 6 dialect per 10,000 oot 37 author per 10,000 49 dialect per 10,000 said 37 author per 10,000 32 dialect per 10,000 doon 37 author per 10,000 28 dialect per 10,000 as 37 author per 10,000 31 dialect per 10,000 so 37 author per 10,000 5 dialect per 10,000 got 37 author per 10,000 9 dialect per 10,000 hisnae 37 author per 10,000 0 dialect per 10,000 up 37 author per 10,000 32 dialect per 10,000 oor 37 author per 10,000 15 dialect per 10,000 or 37 author per 10,000 33 dialect per 10,000 gan 37 author per 10,000 6 dialect per 10,000 baith 31 author per 10,000 6 dialect per 10,000 stuff 31 author per 10,000 1 dialect per 10,000 aboot 31 author per 10,000 27 dialect per 10,000 tell 31 author per 10,000 10 dialect per 10,000 can 31 author per 10,000 15 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 fin 31 author per 10,000 4 dialect per 10,000 yer 31 author per 10,000 37 dialect per 10,000 ellen's 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 22 dialect per 10,000 started 31 author per 10,000 0 dialect per 10,000 this 31 author per 10,000 27 dialect per 10,000 kint 25 author per 10,000 0 dialect per 10,000 - 25 author per 10,000 25 dialect per 10,000 dinna 25 author per 10,000 0 dialect per 10,000 there 25 author per 10,000 8 dialect per 10,000 kept 25 author per 10,000 1 dialect per 10,000 get 25 author per 10,000 9 dialect per 10,000 only 25 author per 10,000 3 dialect per 10,000 say 25 author per 10,000 10 dialect per 10,000 wint 25 author per 10,000 0 dialect per 10,000 niver 25 author per 10,000 9 dialect per 10,000 noo 25 author per 10,000 22 dialect per 10,000 you 25 author per 10,000 5 dialect per 10,000 his 25 author per 10,000 25 dialect per 10,000 loons 19 author per 10,000 0 dialect per 10,000 aifter 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 quine 19 author per 10,000 0 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 story 19 author per 10,000 2 dialect per 10,000 hiv 19 author per 10,000 0 dialect per 10,000 heid 19 author per 10,000 12 dialect per 10,000 be 19 author per 10,000 39 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 wisna 19 author per 10,000 0 dialect per 10,000 stickin 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 next 19 author per 10,000 0 dialect per 10,000 mind 19 author per 10,000 2 dialect per 10,000 ken 19 author per 10,000 3 dialect per 10,000 mair 19 author per 10,000 27 dialect per 10,000 could 19 author per 10,000 1 dialect per 10,000 first 19 author per 10,000 2 dialect per 10,000 quines 19 author per 10,000 0 dialect per 10,000 came 19 author per 10,000 2 dialect per 10,000 time 19 author per 10,000 13 dialect per 10,000 dae 19 author per 10,000 23 dialect per 10,000 ower 19 author per 10,000 18 dialect per 10,000 are 19 author per 10,000 4 dialect per 10,000 will 19 author per 10,000 2 dialect per 10,000 cousin 19 author per 10,000 0 dialect per 10,000 because 19 author per 10,000 0 dialect per 10,000 really 19 author per 10,000 1 dialect per 10,000 couldna 19 author per 10,000 0 dialect per 10,000 fae 19 author per 10,000 13 dialect per 10,000 pals 19 author per 10,000 0 dialect per 10,000 awa 19 author per 10,000 17 dialect per 10,000 and 19 author per 10,000 10 dialect per 10,000 like 19 author per 10,000 9 dialect per 10,000 weel 19 author per 10,000 13 dialect per 10,000 dad 19 author per 10,000 0 dialect per 10,000 neist 19 author per 10,000 0 dialect per 10,000 fairm 19 author per 10,000 1 dialect per 10,000 them 19 author per 10,000 8 dialect per 10,000 except 19 author per 10,000 0 dialect per 10,000 spik 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 14 dialect per 10,000 wye 19 author per 10,000 13 dialect per 10,000 auld 12 author per 10,000 1 dialect per 10,000 cos 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 4 dialect per 10,000 anither 12 author per 10,000 8 dialect per 10,000 ane 12 author per 10,000 0 dialect per 10,000 hoose 12 author per 10,000 14 dialect per 10,000 suppose 12 author per 10,000 1 dialect per 10,000 although 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 1 dialect per 10,000 sure 12 author per 10,000 4 dialect per 10,000 see 12 author per 10,000 16 dialect per 10,000 oorseels 12 author per 10,000 0 dialect per 10,000 back 12 author per 10,000 2 dialect per 10,000 reed 12 author per 10,000 0 dialect per 10,000 onything 12 author per 10,000 0 dialect per 10,000 parents 12 author per 10,000 0 dialect per 10,000 teachers 12 author per 10,000 0 dialect per 10,000 somebody 12 author per 10,000 0 dialect per 10,000 hard 12 author per 10,000 2 dialect per 10,000 fair 12 author per 10,000 2 dialect per 10,000 try 12 author per 10,000 1 dialect per 10,000 neither 12 author per 10,000 0 dialect per 10,000 didna 12 author per 10,000 0 dialect per 10,000 begin 12 author per 10,000 0 dialect per 10,000 thought 12 author per 10,000 0 dialect per 10,000 day 12 author per 10,000 15 dialect per 10,000 names 12 author per 10,000 0 dialect per 10,000 hair 12 author per 10,000 2 dialect per 10,000 caad 12 author per 10,000 4 dialect per 10,000 aabody 12 author per 10,000 0 dialect per 10,000 i'm 12 author per 10,000 2 dialect per 10,000 some 12 author per 10,000 7 dialect per 10,000 shed 12 author per 10,000 0 dialect per 10,000 sneaked 12 author per 10,000 0 dialect per 10,000 open 12 author per 10,000 1 dialect per 10,000 help 12 author per 10,000 2 dialect per 10,000 quate 12 author per 10,000 1 dialect per 10,000 nose 12 author per 10,000 0 dialect per 10,000 right 12 author per 10,000 1 dialect per 10,000 grun 12 author per 10,000 3 dialect per 10,000 winted 12 author per 10,000 0 dialect per 10,000 alcohol 12 author per 10,000 0 dialect per 10,000 drink 12 author per 10,000 1 dialect per 10,000 did 12 author per 10,000 5 dialect per 10,000 things 12 author per 10,000 4 dialect per 10,000 friday 12 author per 10,000 1 dialect per 10,000 ither 12 author per 10,000 14 dialect per 10,000 hand 12 author per 10,000 0 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 feelin 12 author per 10,000 1 dialect per 10,000 grew 12 author per 10,000 1 dialect per 10,000 hae 12 author per 10,000 55 dialect per 10,000 pick 12 author per 10,000 0 dialect per 10,000 wir 12 author per 10,000 1 dialect per 10,000 winter 12 author per 10,000 0 dialect per 10,000 intae 12 author per 10,000 14 dialect per 10,000 folk 12 author per 10,000 4 dialect per 10,000 hame 12 author per 10,000 10 dialect per 10,000 alec 12 author per 10,000 0 dialect per 10,000 google 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 7 dialect per 10,000 were 12 author per 10,000 4 dialect per 10,000 happened 12 author per 10,000 0 dialect per 10,000 let 12 author per 10,000 5 dialect per 10,000 foo 12 author per 10,000 0 dialect per 10,000 bonnie 12 author per 10,000 1 dialect per 10,000 it's 12 author per 10,000 14 dialect per 10,000 happy 12 author per 10,000 2 dialect per 10,000 breathin 12 author per 10,000 0 dialect per 10,000 canna 12 author per 10,000 0 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 hate 12 author per 10,000 0 dialect per 10,000 heairt 6 author per 10,000 0 dialect per 10,000 hear 6 author per 10,000 5 dialect per 10,000 properly 6 author per 10,000 0 dialect per 10,000 rakes 6 author per 10,000 0 dialect per 10,000 lawnmowers 6 author per 10,000 0 dialect per 10,000 change 6 author per 10,000 2 dialect per 10,000 mam 6 author per 10,000 0 dialect per 10,000 ta 6 author per 10,000 0 dialect per 10,000 byre 6 author per 10,000 0 dialect per 10,000 claes 6 author per 10,000 3 dialect per 10,000 simmer 6 author per 10,000 1 dialect per 10,000