A Corpus of 21st Century Scots Texts

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Young, Morna


Total words by this author in corpus - 2,089
Total unique words used by this author in corpus - 646
Ratio of total words to unique words - 3.234
Top ten most common words - and, the, i, a, tae, ma, it, o, €™s, she,

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
and 503 author per 10,000 94 dialect per 10,000 the 488 author per 10,000 565 dialect per 10,000 i 349 author per 10,000 39 dialect per 10,000 a 263 author per 10,000 266 dialect per 10,000 tae 206 author per 10,000 211 dialect per 10,000 ma 196 author per 10,000 51 dialect per 10,000 it 177 author per 10,000 116 dialect per 10,000 o 172 author per 10,000 185 dialect per 10,000 €™s 148 author per 10,000 32 dialect per 10,000 she 144 author per 10,000 56 dialect per 10,000 wi 144 author per 10,000 67 dialect per 10,000 in 139 author per 10,000 147 dialect per 10,000 or 120 author per 10,000 29 dialect per 10,000 an 115 author per 10,000 225 dialect per 10,000 €™ll 115 author per 10,000 4 dialect per 10,000 they 115 author per 10,000 41 dialect per 10,000 chris 96 author per 10,000 1 dialect per 10,000 that 96 author per 10,000 106 dialect per 10,000 her 96 author per 10,000 46 dialect per 10,000 be 91 author per 10,000 48 dialect per 10,000 for 86 author per 10,000 48 dialect per 10,000 €¦ 77 author per 10,000 1 dialect per 10,000 ye 72 author per 10,000 62 dialect per 10,000 but 72 author per 10,000 48 dialect per 10,000 nae 72 author per 10,000 24 dialect per 10,000 there 67 author per 10,000 23 dialect per 10,000 wis 67 author per 10,000 97 dialect per 10,000 this 67 author per 10,000 41 dialect per 10,000 their 57 author per 10,000 19 dialect per 10,000 quine 57 author per 10,000 0 dialect per 10,000 aa 57 author per 10,000 14 dialect per 10,000 mebbe 48 author per 10,000 2 dialect per 10,000 say 48 author per 10,000 10 dialect per 10,000 granny 48 author per 10,000 1 dialect per 10,000 said 43 author per 10,000 40 dialect per 10,000 you 43 author per 10,000 15 dialect per 10,000 think 43 author per 10,000 9 dialect per 10,000 will 38 author per 10,000 10 dialect per 10,000 fan 38 author per 10,000 0 dialect per 10,000 hame 38 author per 10,000 6 dialect per 10,000 fit 38 author per 10,000 2 dialect per 10,000 then 38 author per 10,000 17 dialect per 10,000 back 38 author per 10,000 20 dialect per 10,000 aye 38 author per 10,000 16 dialect per 10,000 noo 38 author per 10,000 14 dialect per 10,000 twa 38 author per 10,000 10 dialect per 10,000 €™ 34 author per 10,000 39 dialect per 10,000 could 34 author per 10,000 9 dialect per 10,000 see 34 author per 10,000 17 dialect per 10,000 as 34 author per 10,000 59 dialect per 10,000 here 34 author per 10,000 12 dialect per 10,000 hae 29 author per 10,000 23 dialect per 10,000 name 29 author per 10,000 4 dialect per 10,000 tell 29 author per 10,000 8 dialect per 10,000 is 29 author per 10,000 58 dialect per 10,000 if 29 author per 10,000 17 dialect per 10,000 ay 29 author per 10,000 9 dialect per 10,000 buiks 29 author per 10,000 1 dialect per 10,000 fae 29 author per 10,000 26 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 day 29 author per 10,000 14 dialect per 10,000 wid 29 author per 10,000 8 dialect per 10,000 me 24 author per 10,000 40 dialect per 10,000 haun 24 author per 10,000 4 dialect per 10,000 wee 24 author per 10,000 29 dialect per 10,000 at 24 author per 10,000 59 dialect per 10,000 ane 24 author per 10,000 9 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 12 dialect per 10,000 €™re 24 author per 10,000 3 dialect per 10,000 place 24 author per 10,000 5 dialect per 10,000 mam 24 author per 10,000 0 dialect per 10,000 dee 24 author per 10,000 1 dialect per 10,000 mare 24 author per 10,000 1 dialect per 10,000 €“ 24 author per 10,000 5 dialect per 10,000 same 24 author per 10,000 6 dialect per 10,000 of 24 author per 10,000 11 dialect per 10,000 teacher 24 author per 10,000 1 dialect per 10,000 buik 24 author per 10,000 1 dialect per 10,000 fine 24 author per 10,000 3 dialect per 10,000 english 19 author per 10,000 5 dialect per 10,000 sea 19 author per 10,000 2 dialect per 10,000 masel 19 author per 10,000 3 dialect per 10,000 ain 19 author per 10,000 10 dialect per 10,000 niver 19 author per 10,000 2 dialect per 10,000 yer 19 author per 10,000 21 dialect per 10,000 sae 19 author per 10,000 16 dialect per 10,000 caa 19 author per 10,000 0 dialect per 10,000 oot 19 author per 10,000 40 dialect per 10,000 da 19 author per 10,000 3 dialect per 10,000 can 19 author per 10,000 14 dialect per 10,000 your 19 author per 10,000 5 dialect per 10,000 hale 19 author per 10,000 2 dialect per 10,000 €™d 19 author per 10,000 6 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 9 dialect per 10,000 mither 19 author per 10,000 4 dialect per 10,000 disna 19 author per 10,000 1 dialect per 10,000 kent 19 author per 10,000 6 dialect per 10,000 says 19 author per 10,000 7 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 am 19 author per 10,000 3 dialect per 10,000 thaim 19 author per 10,000 9 dialect per 10,000 fowk 19 author per 10,000 12 dialect per 10,000 those 19 author per 10,000 1 dialect per 10,000 een 19 author per 10,000 5 dialect per 10,000 wirds 19 author per 10,000 2 dialect per 10,000 tak 19 author per 10,000 8 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 1 dialect per 10,000 land 14 author per 10,000 1 dialect per 10,000 dinna 14 author per 10,000 4 dialect per 10,000 by 14 author per 10,000 17 dialect per 10,000 quines 14 author per 10,000 0 dialect per 10,000 €™ve 14 author per 10,000 4 dialect per 10,000 tide 14 author per 10,000 0 dialect per 10,000 €™t 14 author per 10,000 3 dialect per 10,000 luik 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 thocht 14 author per 10,000 8 dialect per 10,000 story 14 author per 10,000 2 dialect per 10,000 smell 14 author per 10,000 1 dialect per 10,000 bide 14 author per 10,000 2 dialect per 10,000 eneuch 14 author per 10,000 3 dialect per 10,000 on 14 author per 10,000 55 dialect per 10,000 need 14 author per 10,000 5 dialect per 10,000 we 14 author per 10,000 33 dialect per 10,000 stairted 14 author per 10,000 0 dialect per 10,000 schuil 14 author per 10,000 2 dialect per 10,000 thit 14 author per 10,000 2 dialect per 10,000 different 14 author per 10,000 2 dialect per 10,000 were 14 author per 10,000 15 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 9 dialect per 10,000 was 14 author per 10,000 7 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 6 dialect per 10,000 bairn 14 author per 10,000 2 dialect per 10,000 beach 14 author per 10,000 0 dialect per 10,000 them 14 author per 10,000 18 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 8 dialect per 10,000 likit 14 author per 10,000 0 dialect per 10,000 face 14 author per 10,000 5 dialect per 10,000 up 14 author per 10,000 40 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 0 dialect per 10,000 whither 10 author per 10,000 1 dialect per 10,000 gan 10 author per 10,000 1 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 15 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 2 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 14 dialect per 10,000 thank 10 author per 10,000 1 dialect per 10,000 billy 10 author per 10,000 0 dialect per 10,000 affa 10 author per 10,000 0 dialect per 10,000 time 10 author per 10,000 18 dialect per 10,000 smile 10 author per 10,000 1 dialect per 10,000 micht 10 author per 10,000 7 dialect per 10,000 vyce 10 author per 10,000 1 dialect per 10,000 list 10 author per 10,000 0 dialect per 10,000 lik 10 author per 10,000 5 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 0 dialect per 10,000 teachers 10 author per 10,000 1 dialect per 10,000 understand 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 tongue 10 author per 10,000 1 dialect per 10,000 wunner 10 author per 10,000 1 dialect per 10,000 lass 10 author per 10,000 1 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 sit 10 author per 10,000 2 dialect per 10,000 feel 10 author per 10,000 3 dialect per 10,000 deep 10 author per 10,000 2 dialect per 10,000 song 10 author per 10,000 0 dialect per 10,000 run 10 author per 10,000 2 dialect per 10,000 muck 10 author per 10,000 0 dialect per 10,000 oan 10 author per 10,000 20 dialect per 10,000 intae 10 author per 10,000 18 dialect per 10,000 pen 10 author per 10,000 0 dialect per 10,000 don 10 author per 10,000 1 dialect per 10,000 thing 10 author per 10,000 6 dialect per 10,000 warld 10 author per 10,000 4 dialect per 10,000 wye 10 author per 10,000 0 dialect per 10,000 spik 10 author per 10,000 0 dialect per 10,000 doon 10 author per 10,000 18 dialect per 10,000 like 10 author per 10,000 28 dialect per 10,000 much 10 author per 10,000 3 dialect per 10,000 wint 10 author per 10,000 0 dialect per 10,000 anither 10 author per 10,000 7 dialect per 10,000 come 10 author per 10,000 9 dialect per 10,000 heid 10 author per 10,000 11 dialect per 10,000 lives 10 author per 10,000 1 dialect per 10,000 € 10 author per 10,000 22 dialect per 10,000 		Doric
and 503 author per 10,000 41 dialect per 10,000 the 488 author per 10,000 452 dialect per 10,000 i 349 author per 10,000 68 dialect per 10,000 a 263 author per 10,000 315 dialect per 10,000 tae 206 author per 10,000 171 dialect per 10,000 ma 196 author per 10,000 50 dialect per 10,000 it 177 author per 10,000 99 dialect per 10,000 o 172 author per 10,000 176 dialect per 10,000 €™s 148 author per 10,000 21 dialect per 10,000 she 144 author per 10,000 66 dialect per 10,000 wi 144 author per 10,000 77 dialect per 10,000 in 139 author per 10,000 130 dialect per 10,000 or 120 author per 10,000 26 dialect per 10,000 an 115 author per 10,000 306 dialect per 10,000 €™ll 115 author per 10,000 4 dialect per 10,000 they 115 author per 10,000 36 dialect per 10,000 chris 96 author per 10,000 0 dialect per 10,000 that 96 author per 10,000 53 dialect per 10,000 her 96 author per 10,000 64 dialect per 10,000 be 91 author per 10,000 45 dialect per 10,000 for 86 author per 10,000 45 dialect per 10,000 €¦ 77 author per 10,000 1 dialect per 10,000 ye 72 author per 10,000 93 dialect per 10,000 but 72 author per 10,000 25 dialect per 10,000 nae 72 author per 10,000 50 dialect per 10,000 there 67 author per 10,000 22 dialect per 10,000 wis 67 author per 10,000 105 dialect per 10,000 this 67 author per 10,000 19 dialect per 10,000 their 57 author per 10,000 19 dialect per 10,000 quine 57 author per 10,000 6 dialect per 10,000 aa 57 author per 10,000 43 dialect per 10,000 mebbe 48 author per 10,000 4 dialect per 10,000 say 48 author per 10,000 14 dialect per 10,000 granny 48 author per 10,000 2 dialect per 10,000 said 43 author per 10,000 36 dialect per 10,000 you 43 author per 10,000 17 dialect per 10,000 think 43 author per 10,000 11 dialect per 10,000 will 38 author per 10,000 9 dialect per 10,000 fan 38 author per 10,000 17 dialect per 10,000 hame 38 author per 10,000 11 dialect per 10,000 fit 38 author per 10,000 40 dialect per 10,000 then 38 author per 10,000 9 dialect per 10,000 back 38 author per 10,000 21 dialect per 10,000 aye 38 author per 10,000 22 dialect per 10,000 noo 38 author per 10,000 23 dialect per 10,000 twa 38 author per 10,000 18 dialect per 10,000 €™ 34 author per 10,000 10 dialect per 10,000 could 34 author per 10,000 8 dialect per 10,000 see 34 author per 10,000 21 dialect per 10,000 as 34 author per 10,000 52 dialect per 10,000 here 34 author per 10,000 11 dialect per 10,000 hae 29 author per 10,000 20 dialect per 10,000 name 29 author per 10,000 4 dialect per 10,000 tell 29 author per 10,000 9 dialect per 10,000 is 29 author per 10,000 39 dialect per 10,000 if 29 author per 10,000 16 dialect per 10,000 ay 29 author per 10,000 6 dialect per 10,000 buiks 29 author per 10,000 0 dialect per 10,000 fae 29 author per 10,000 30 dialect per 10,000 life 29 author per 10,000 6 dialect per 10,000 day 29 author per 10,000 26 dialect per 10,000 wid 29 author per 10,000 18 dialect per 10,000 me 24 author per 10,000 32 dialect per 10,000 haun 24 author per 10,000 1 dialect per 10,000 wee 24 author per 10,000 18 dialect per 10,000 at 24 author per 10,000 68 dialect per 10,000 ane 24 author per 10,000 5 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 21 dialect per 10,000 €™re 24 author per 10,000 1 dialect per 10,000 place 24 author per 10,000 5 dialect per 10,000 mam 24 author per 10,000 2 dialect per 10,000 dee 24 author per 10,000 10 dialect per 10,000 mare 24 author per 10,000 0 dialect per 10,000 €“ 24 author per 10,000 6 dialect per 10,000 same 24 author per 10,000 5 dialect per 10,000 of 24 author per 10,000 8 dialect per 10,000 teacher 24 author per 10,000 1 dialect per 10,000 buik 24 author per 10,000 1 dialect per 10,000 fine 24 author per 10,000 11 dialect per 10,000 english 19 author per 10,000 1 dialect per 10,000 sea 19 author per 10,000 4 dialect per 10,000 masel 19 author per 10,000 4 dialect per 10,000 ain 19 author per 10,000 7 dialect per 10,000 niver 19 author per 10,000 4 dialect per 10,000 yer 19 author per 10,000 35 dialect per 10,000 sae 19 author per 10,000 14 dialect per 10,000 caa 19 author per 10,000 1 dialect per 10,000 oot 19 author per 10,000 50 dialect per 10,000 da 19 author per 10,000 3 dialect per 10,000 can 19 author per 10,000 12 dialect per 10,000 your 19 author per 10,000 4 dialect per 10,000 hale 19 author per 10,000 5 dialect per 10,000 €™d 19 author per 10,000 10 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 6 dialect per 10,000 mither 19 author per 10,000 8 dialect per 10,000 disna 19 author per 10,000 3 dialect per 10,000 kent 19 author per 10,000 8 dialect per 10,000 says 19 author per 10,000 10 dialect per 10,000 far 19 author per 10,000 14 dialect per 10,000 am 19 author per 10,000 4 dialect per 10,000 thaim 19 author per 10,000 2 dialect per 10,000 fowk 19 author per 10,000 13 dialect per 10,000 those 19 author per 10,000 1 dialect per 10,000 een 19 author per 10,000 19 dialect per 10,000 wirds 19 author per 10,000 2 dialect per 10,000 tak 19 author per 10,000 11 dialect per 10,000 ken 19 author per 10,000 23 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 1 dialect per 10,000 land 14 author per 10,000 1 dialect per 10,000 dinna 14 author per 10,000 16 dialect per 10,000 by 14 author per 10,000 9 dialect per 10,000 quines 14 author per 10,000 2 dialect per 10,000 €™ve 14 author per 10,000 2 dialect per 10,000 tide 14 author per 10,000 0 dialect per 10,000 €™t 14 author per 10,000 2 dialect per 10,000 luik 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 thocht 14 author per 10,000 14 dialect per 10,000 story 14 author per 10,000 2 dialect per 10,000 smell 14 author per 10,000 1 dialect per 10,000 bide 14 author per 10,000 5 dialect per 10,000 eneuch 14 author per 10,000 3 dialect per 10,000 on 14 author per 10,000 67 dialect per 10,000 need 14 author per 10,000 5 dialect per 10,000 we 14 author per 10,000 33 dialect per 10,000 stairted 14 author per 10,000 1 dialect per 10,000 schuil 14 author per 10,000 0 dialect per 10,000 thit 14 author per 10,000 1 dialect per 10,000 different 14 author per 10,000 1 dialect per 10,000 were 14 author per 10,000 13 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 9 dialect per 10,000 was 14 author per 10,000 10 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 3 dialect per 10,000 bairn 14 author per 10,000 3 dialect per 10,000 beach 14 author per 10,000 1 dialect per 10,000 them 14 author per 10,000 23 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 6 dialect per 10,000 likit 14 author per 10,000 2 dialect per 10,000 face 14 author per 10,000 7 dialect per 10,000 up 14 author per 10,000 47 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 2 dialect per 10,000 whither 10 author per 10,000 0 dialect per 10,000 gan 10 author per 10,000 5 dialect per 10,000 mak 10 author per 10,000 9 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 6 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 3 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 16 dialect per 10,000 thank 10 author per 10,000 1 dialect per 10,000 billy 10 author per 10,000 1 dialect per 10,000 affa 10 author per 10,000 12 dialect per 10,000 time 10 author per 10,000 19 dialect per 10,000 smile 10 author per 10,000 2 dialect per 10,000 micht 10 author per 10,000 6 dialect per 10,000 vyce 10 author per 10,000 1 dialect per 10,000 list 10 author per 10,000 1 dialect per 10,000 lik 10 author per 10,000 4 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 2 dialect per 10,000 teachers 10 author per 10,000 0 dialect per 10,000 understand 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 4 dialect per 10,000 tongue 10 author per 10,000 1 dialect per 10,000 wunner 10 author per 10,000 1 dialect per 10,000 lass 10 author per 10,000 0 dialect per 10,000 bonnie 10 author per 10,000 4 dialect per 10,000 sit 10 author per 10,000 2 dialect per 10,000 feel 10 author per 10,000 7 dialect per 10,000 deep 10 author per 10,000 2 dialect per 10,000 song 10 author per 10,000 0 dialect per 10,000 run 10 author per 10,000 2 dialect per 10,000 muck 10 author per 10,000 1 dialect per 10,000 oan 10 author per 10,000 8 dialect per 10,000 intae 10 author per 10,000 10 dialect per 10,000 pen 10 author per 10,000 1 dialect per 10,000 don 10 author per 10,000 0 dialect per 10,000 thing 10 author per 10,000 6 dialect per 10,000 warld 10 author per 10,000 2 dialect per 10,000 wye 10 author per 10,000 12 dialect per 10,000 spik 10 author per 10,000 3 dialect per 10,000 doon 10 author per 10,000 33 dialect per 10,000 like 10 author per 10,000 37 dialect per 10,000 much 10 author per 10,000 4 dialect per 10,000 wint 10 author per 10,000 8 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 come 10 author per 10,000 13 dialect per 10,000 heid 10 author per 10,000 12 dialect per 10,000 lives 10 author per 10,000 1 dialect per 10,000 € 10 author per 10,000 16 dialect per 10,000
Shetland
and 503 author per 10,000 15 dialect per 10,000 the 488 author per 10,000 18 dialect per 10,000 i 349 author per 10,000 143 dialect per 10,000 a 263 author per 10,000 280 dialect per 10,000 tae 206 author per 10,000 86 dialect per 10,000 ma 196 author per 10,000 0 dialect per 10,000 it 177 author per 10,000 58 dialect per 10,000 o 172 author per 10,000 177 dialect per 10,000 €™s 148 author per 10,000 15 dialect per 10,000 she 144 author per 10,000 7 dialect per 10,000 wi 144 author per 10,000 95 dialect per 10,000 in 139 author per 10,000 105 dialect per 10,000 or 120 author per 10,000 32 dialect per 10,000 an 115 author per 10,000 330 dialect per 10,000 €™ll 115 author per 10,000 5 dialect per 10,000 they 115 author per 10,000 2 dialect per 10,000 chris 96 author per 10,000 0 dialect per 10,000 that 96 author per 10,000 4 dialect per 10,000 her 96 author per 10,000 64 dialect per 10,000 be 91 author per 10,000 56 dialect per 10,000 for 86 author per 10,000 35 dialect per 10,000 €¦ 77 author per 10,000 1 dialect per 10,000 ye 72 author per 10,000 0 dialect per 10,000 but 72 author per 10,000 29 dialect per 10,000 nae 72 author per 10,000 23 dialect per 10,000 there 67 author per 10,000 1 dialect per 10,000 wis 67 author per 10,000 162 dialect per 10,000 this 67 author per 10,000 1 dialect per 10,000 their 57 author per 10,000 1 dialect per 10,000 quine 57 author per 10,000 0 dialect per 10,000 aa 57 author per 10,000 51 dialect per 10,000 mebbe 48 author per 10,000 1 dialect per 10,000 say 48 author per 10,000 11 dialect per 10,000 granny 48 author per 10,000 1 dialect per 10,000 said 43 author per 10,000 61 dialect per 10,000 you 43 author per 10,000 51 dialect per 10,000 think 43 author per 10,000 1 dialect per 10,000 will 38 author per 10,000 9 dialect per 10,000 fan 38 author per 10,000 6 dialect per 10,000 hame 38 author per 10,000 7 dialect per 10,000 fit 38 author per 10,000 4 dialect per 10,000 then 38 author per 10,000 1 dialect per 10,000 back 38 author per 10,000 18 dialect per 10,000 aye 38 author per 10,000 11 dialect per 10,000 noo 38 author per 10,000 19 dialect per 10,000 twa 38 author per 10,000 13 dialect per 10,000 €™ 34 author per 10,000 17 dialect per 10,000 could 34 author per 10,000 12 dialect per 10,000 see 34 author per 10,000 20 dialect per 10,000 as 34 author per 10,000 79 dialect per 10,000 here 34 author per 10,000 11 dialect per 10,000 hae 29 author per 10,000 25 dialect per 10,000 name 29 author per 10,000 4 dialect per 10,000 tell 29 author per 10,000 8 dialect per 10,000 is 29 author per 10,000 81 dialect per 10,000 if 29 author per 10,000 25 dialect per 10,000 ay 29 author per 10,000 1 dialect per 10,000 buiks 29 author per 10,000 0 dialect per 10,000 fae 29 author per 10,000 40 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 day 29 author per 10,000 18 dialect per 10,000 wid 29 author per 10,000 38 dialect per 10,000 me 24 author per 10,000 41 dialect per 10,000 haun 24 author per 10,000 0 dialect per 10,000 wee 24 author per 10,000 0 dialect per 10,000 at 24 author per 10,000 112 dialect per 10,000 ane 24 author per 10,000 4 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 13 dialect per 10,000 €™re 24 author per 10,000 1 dialect per 10,000 place 24 author per 10,000 7 dialect per 10,000 mam 24 author per 10,000 5 dialect per 10,000 dee 24 author per 10,000 21 dialect per 10,000 mare 24 author per 10,000 0 dialect per 10,000 €“ 24 author per 10,000 2 dialect per 10,000 same 24 author per 10,000 0 dialect per 10,000 of 24 author per 10,000 11 dialect per 10,000 teacher 24 author per 10,000 0 dialect per 10,000 buik 24 author per 10,000 0 dialect per 10,000 fine 24 author per 10,000 7 dialect per 10,000 english 19 author per 10,000 14 dialect per 10,000 sea 19 author per 10,000 6 dialect per 10,000 masel 19 author per 10,000 0 dialect per 10,000 ain 19 author per 10,000 7 dialect per 10,000 niver 19 author per 10,000 2 dialect per 10,000 yer 19 author per 10,000 0 dialect per 10,000 sae 19 author per 10,000 8 dialect per 10,000 caa 19 author per 10,000 4 dialect per 10,000 oot 19 author per 10,000 42 dialect per 10,000 da 19 author per 10,000 546 dialect per 10,000 can 19 author per 10,000 20 dialect per 10,000 your 19 author per 10,000 9 dialect per 10,000 hale 19 author per 10,000 3 dialect per 10,000 €™d 19 author per 10,000 2 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 10 dialect per 10,000 mither 19 author per 10,000 0 dialect per 10,000 disna 19 author per 10,000 0 dialect per 10,000 kent 19 author per 10,000 10 dialect per 10,000 says 19 author per 10,000 5 dialect per 10,000 far 19 author per 10,000 5 dialect per 10,000 am 19 author per 10,000 4 dialect per 10,000 thaim 19 author per 10,000 0 dialect per 10,000 fowk 19 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 een 19 author per 10,000 20 dialect per 10,000 wirds 19 author per 10,000 11 dialect per 10,000 tak 19 author per 10,000 12 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 0 dialect per 10,000 land 14 author per 10,000 0 dialect per 10,000 dinna 14 author per 10,000 0 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 quines 14 author per 10,000 0 dialect per 10,000 €™ve 14 author per 10,000 1 dialect per 10,000 tide 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 0 dialect per 10,000 luik 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 0 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 story 14 author per 10,000 3 dialect per 10,000 smell 14 author per 10,000 1 dialect per 10,000 bide 14 author per 10,000 4 dialect per 10,000 eneuch 14 author per 10,000 0 dialect per 10,000 on 14 author per 10,000 52 dialect per 10,000 need 14 author per 10,000 3 dialect per 10,000 we 14 author per 10,000 44 dialect per 10,000 stairted 14 author per 10,000 0 dialect per 10,000 schuil 14 author per 10,000 0 dialect per 10,000 thit 14 author per 10,000 0 dialect per 10,000 different 14 author per 10,000 6 dialect per 10,000 were 14 author per 10,000 3 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 6 dialect per 10,000 was 14 author per 10,000 3 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 5 dialect per 10,000 bairn 14 author per 10,000 5 dialect per 10,000 beach 14 author per 10,000 2 dialect per 10,000 them 14 author per 10,000 1 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 9 dialect per 10,000 likit 14 author per 10,000 0 dialect per 10,000 face 14 author per 10,000 6 dialect per 10,000 up 14 author per 10,000 42 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 2 dialect per 10,000 whither 10 author per 10,000 0 dialect per 10,000 gan 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 12 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 0 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 7 dialect per 10,000 earth 10 author per 10,000 0 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 6 dialect per 10,000 thank 10 author per 10,000 0 dialect per 10,000 billy 10 author per 10,000 0 dialect per 10,000 affa 10 author per 10,000 0 dialect per 10,000 time 10 author per 10,000 21 dialect per 10,000 smile 10 author per 10,000 1 dialect per 10,000 micht 10 author per 10,000 4 dialect per 10,000 vyce 10 author per 10,000 0 dialect per 10,000 list 10 author per 10,000 1 dialect per 10,000 lik 10 author per 10,000 10 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 0 dialect per 10,000 teachers 10 author per 10,000 0 dialect per 10,000 understand 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 1 dialect per 10,000 tongue 10 author per 10,000 3 dialect per 10,000 wunner 10 author per 10,000 0 dialect per 10,000 lass 10 author per 10,000 7 dialect per 10,000 bonnie 10 author per 10,000 0 dialect per 10,000 sit 10 author per 10,000 1 dialect per 10,000 feel 10 author per 10,000 2 dialect per 10,000 deep 10 author per 10,000 2 dialect per 10,000 song 10 author per 10,000 0 dialect per 10,000 run 10 author per 10,000 2 dialect per 10,000 muck 10 author per 10,000 0 dialect per 10,000 oan 10 author per 10,000 0 dialect per 10,000 intae 10 author per 10,000 8 dialect per 10,000 pen 10 author per 10,000 1 dialect per 10,000 don 10 author per 10,000 1 dialect per 10,000 thing 10 author per 10,000 6 dialect per 10,000 warld 10 author per 10,000 0 dialect per 10,000 wye 10 author per 10,000 24 dialect per 10,000 spik 10 author per 10,000 0 dialect per 10,000 doon 10 author per 10,000 22 dialect per 10,000 like 10 author per 10,000 2 dialect per 10,000 much 10 author per 10,000 2 dialect per 10,000 wint 10 author per 10,000 4 dialect per 10,000 anither 10 author per 10,000 0 dialect per 10,000 come 10 author per 10,000 19 dialect per 10,000 heid 10 author per 10,000 2 dialect per 10,000 lives 10 author per 10,000 0 dialect per 10,000 € 10 author per 10,000 17 dialect per 10,000 		Orkney
and 503 author per 10,000 199 dialect per 10,000 the 488 author per 10,000 582 dialect per 10,000 i 349 author per 10,000 158 dialect per 10,000 a 263 author per 10,000 298 dialect per 10,000 tae 206 author per 10,000 223 dialect per 10,000 ma 196 author per 10,000 1 dialect per 10,000 it 177 author per 10,000 23 dialect per 10,000 o 172 author per 10,000 202 dialect per 10,000 €™s 148 author per 10,000 17 dialect per 10,000 she 144 author per 10,000 9 dialect per 10,000 wi 144 author per 10,000 46 dialect per 10,000 in 139 author per 10,000 146 dialect per 10,000 or 120 author per 10,000 30 dialect per 10,000 an 115 author per 10,000 172 dialect per 10,000 €™ll 115 author per 10,000 2 dialect per 10,000 they 115 author per 10,000 37 dialect per 10,000 chris 96 author per 10,000 0 dialect per 10,000 that 96 author per 10,000 75 dialect per 10,000 her 96 author per 10,000 49 dialect per 10,000 be 91 author per 10,000 42 dialect per 10,000 for 86 author per 10,000 26 dialect per 10,000 €¦ 77 author per 10,000 3 dialect per 10,000 ye 72 author per 10,000 17 dialect per 10,000 but 72 author per 10,000 28 dialect per 10,000 nae 72 author per 10,000 3 dialect per 10,000 there 67 author per 10,000 18 dialect per 10,000 wis 67 author per 10,000 80 dialect per 10,000 this 67 author per 10,000 34 dialect per 10,000 their 57 author per 10,000 8 dialect per 10,000 quine 57 author per 10,000 0 dialect per 10,000 aa 57 author per 10,000 8 dialect per 10,000 mebbe 48 author per 10,000 1 dialect per 10,000 say 48 author per 10,000 10 dialect per 10,000 granny 48 author per 10,000 4 dialect per 10,000 said 43 author per 10,000 15 dialect per 10,000 you 43 author per 10,000 35 dialect per 10,000 think 43 author per 10,000 10 dialect per 10,000 will 38 author per 10,000 12 dialect per 10,000 fan 38 author per 10,000 0 dialect per 10,000 hame 38 author per 10,000 1 dialect per 10,000 fit 38 author per 10,000 1 dialect per 10,000 then 38 author per 10,000 18 dialect per 10,000 back 38 author per 10,000 26 dialect per 10,000 aye 38 author per 10,000 9 dialect per 10,000 noo 38 author per 10,000 27 dialect per 10,000 twa 38 author per 10,000 10 dialect per 10,000 €™ 34 author per 10,000 13 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 see 34 author per 10,000 17 dialect per 10,000 as 34 author per 10,000 48 dialect per 10,000 here 34 author per 10,000 12 dialect per 10,000 hae 29 author per 10,000 11 dialect per 10,000 name 29 author per 10,000 2 dialect per 10,000 tell 29 author per 10,000 6 dialect per 10,000 is 29 author per 10,000 71 dialect per 10,000 if 29 author per 10,000 15 dialect per 10,000 ay 29 author per 10,000 0 dialect per 10,000 buiks 29 author per 10,000 0 dialect per 10,000 fae 29 author per 10,000 39 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 day 29 author per 10,000 20 dialect per 10,000 wid 29 author per 10,000 20 dialect per 10,000 me 24 author per 10,000 115 dialect per 10,000 haun 24 author per 10,000 0 dialect per 10,000 wee 24 author per 10,000 1 dialect per 10,000 at 24 author per 10,000 54 dialect per 10,000 ane 24 author per 10,000 1 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 1 dialect per 10,000 €™re 24 author per 10,000 1 dialect per 10,000 place 24 author per 10,000 4 dialect per 10,000 mam 24 author per 10,000 1 dialect per 10,000 dee 24 author per 10,000 1 dialect per 10,000 mare 24 author per 10,000 0 dialect per 10,000 €“ 24 author per 10,000 13 dialect per 10,000 same 24 author per 10,000 3 dialect per 10,000 of 24 author per 10,000 6 dialect per 10,000 teacher 24 author per 10,000 0 dialect per 10,000 buik 24 author per 10,000 0 dialect per 10,000 fine 24 author per 10,000 7 dialect per 10,000 english 19 author per 10,000 1 dialect per 10,000 sea 19 author per 10,000 8 dialect per 10,000 masel 19 author per 10,000 0 dialect per 10,000 ain 19 author per 10,000 0 dialect per 10,000 niver 19 author per 10,000 2 dialect per 10,000 yer 19 author per 10,000 7 dialect per 10,000 sae 19 author per 10,000 1 dialect per 10,000 caa 19 author per 10,000 0 dialect per 10,000 oot 19 author per 10,000 50 dialect per 10,000 da 19 author per 10,000 0 dialect per 10,000 can 19 author per 10,000 13 dialect per 10,000 your 19 author per 10,000 5 dialect per 10,000 hale 19 author per 10,000 0 dialect per 10,000 €™d 19 author per 10,000 2 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 6 dialect per 10,000 mither 19 author per 10,000 5 dialect per 10,000 disna 19 author per 10,000 3 dialect per 10,000 kent 19 author per 10,000 6 dialect per 10,000 says 19 author per 10,000 15 dialect per 10,000 far 19 author per 10,000 4 dialect per 10,000 am 19 author per 10,000 6 dialect per 10,000 thaim 19 author per 10,000 2 dialect per 10,000 fowk 19 author per 10,000 0 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 een 19 author per 10,000 4 dialect per 10,000 wirds 19 author per 10,000 6 dialect per 10,000 tak 19 author per 10,000 12 dialect per 10,000 ken 19 author per 10,000 15 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 0 dialect per 10,000 land 14 author per 10,000 3 dialect per 10,000 dinna 14 author per 10,000 4 dialect per 10,000 by 14 author per 10,000 16 dialect per 10,000 quines 14 author per 10,000 0 dialect per 10,000 €™ve 14 author per 10,000 1 dialect per 10,000 tide 14 author per 10,000 2 dialect per 10,000 €™t 14 author per 10,000 1 dialect per 10,000 luik 14 author per 10,000 0 dialect per 10,000 feart 14 author per 10,000 1 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 story 14 author per 10,000 2 dialect per 10,000 smell 14 author per 10,000 2 dialect per 10,000 bide 14 author per 10,000 3 dialect per 10,000 eneuch 14 author per 10,000 0 dialect per 10,000 on 14 author per 10,000 73 dialect per 10,000 need 14 author per 10,000 4 dialect per 10,000 we 14 author per 10,000 29 dialect per 10,000 stairted 14 author per 10,000 0 dialect per 10,000 schuil 14 author per 10,000 0 dialect per 10,000 thit 14 author per 10,000 1 dialect per 10,000 different 14 author per 10,000 2 dialect per 10,000 were 14 author per 10,000 6 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 5 dialect per 10,000 was 14 author per 10,000 2 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 3 dialect per 10,000 bairn 14 author per 10,000 5 dialect per 10,000 beach 14 author per 10,000 1 dialect per 10,000 them 14 author per 10,000 18 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 12 dialect per 10,000 likit 14 author per 10,000 0 dialect per 10,000 face 14 author per 10,000 7 dialect per 10,000 up 14 author per 10,000 34 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 0 dialect per 10,000 whither 10 author per 10,000 1 dialect per 10,000 gan 10 author per 10,000 2 dialect per 10,000 mak 10 author per 10,000 9 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 6 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 0 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 9 dialect per 10,000 thank 10 author per 10,000 1 dialect per 10,000 billy 10 author per 10,000 1 dialect per 10,000 affa 10 author per 10,000 0 dialect per 10,000 time 10 author per 10,000 18 dialect per 10,000 smile 10 author per 10,000 3 dialect per 10,000 micht 10 author per 10,000 0 dialect per 10,000 vyce 10 author per 10,000 0 dialect per 10,000 list 10 author per 10,000 1 dialect per 10,000 lik 10 author per 10,000 0 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 0 dialect per 10,000 teachers 10 author per 10,000 0 dialect per 10,000 understand 10 author per 10,000 1 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 tongue 10 author per 10,000 1 dialect per 10,000 wunner 10 author per 10,000 0 dialect per 10,000 lass 10 author per 10,000 6 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 sit 10 author per 10,000 4 dialect per 10,000 feel 10 author per 10,000 5 dialect per 10,000 deep 10 author per 10,000 3 dialect per 10,000 song 10 author per 10,000 1 dialect per 10,000 run 10 author per 10,000 3 dialect per 10,000 muck 10 author per 10,000 0 dialect per 10,000 oan 10 author per 10,000 10 dialect per 10,000 intae 10 author per 10,000 18 dialect per 10,000 pen 10 author per 10,000 1 dialect per 10,000 don 10 author per 10,000 1 dialect per 10,000 thing 10 author per 10,000 7 dialect per 10,000 warld 10 author per 10,000 1 dialect per 10,000 wye 10 author per 10,000 0 dialect per 10,000 spik 10 author per 10,000 0 dialect per 10,000 doon 10 author per 10,000 28 dialect per 10,000 like 10 author per 10,000 31 dialect per 10,000 much 10 author per 10,000 6 dialect per 10,000 wint 10 author per 10,000 0 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 come 10 author per 10,000 11 dialect per 10,000 heid 10 author per 10,000 5 dialect per 10,000 lives 10 author per 10,000 1 dialect per 10,000 € 10 author per 10,000 5 dialect per 10,000
Southern
and 503 author per 10,000 33 dialect per 10,000 the 488 author per 10,000 449 dialect per 10,000 i 349 author per 10,000 74 dialect per 10,000 a 263 author per 10,000 230 dialect per 10,000 tae 206 author per 10,000 206 dialect per 10,000 ma 196 author per 10,000 59 dialect per 10,000 it 177 author per 10,000 63 dialect per 10,000 o 172 author per 10,000 200 dialect per 10,000 €™s 148 author per 10,000 34 dialect per 10,000 she 144 author per 10,000 91 dialect per 10,000 wi 144 author per 10,000 66 dialect per 10,000 in 139 author per 10,000 107 dialect per 10,000 or 120 author per 10,000 22 dialect per 10,000 an 115 author per 10,000 289 dialect per 10,000 €™ll 115 author per 10,000 2 dialect per 10,000 they 115 author per 10,000 31 dialect per 10,000 chris 96 author per 10,000 0 dialect per 10,000 that 96 author per 10,000 65 dialect per 10,000 her 96 author per 10,000 17 dialect per 10,000 be 91 author per 10,000 13 dialect per 10,000 for 86 author per 10,000 22 dialect per 10,000 €¦ 77 author per 10,000 1 dialect per 10,000 ye 72 author per 10,000 21 dialect per 10,000 but 72 author per 10,000 42 dialect per 10,000 nae 72 author per 10,000 25 dialect per 10,000 there 67 author per 10,000 16 dialect per 10,000 wis 67 author per 10,000 54 dialect per 10,000 this 67 author per 10,000 35 dialect per 10,000 their 57 author per 10,000 14 dialect per 10,000 quine 57 author per 10,000 0 dialect per 10,000 aa 57 author per 10,000 10 dialect per 10,000 mebbe 48 author per 10,000 0 dialect per 10,000 say 48 author per 10,000 17 dialect per 10,000 granny 48 author per 10,000 0 dialect per 10,000 said 43 author per 10,000 65 dialect per 10,000 you 43 author per 10,000 3 dialect per 10,000 think 43 author per 10,000 7 dialect per 10,000 will 38 author per 10,000 3 dialect per 10,000 fan 38 author per 10,000 2 dialect per 10,000 hame 38 author per 10,000 8 dialect per 10,000 fit 38 author per 10,000 5 dialect per 10,000 then 38 author per 10,000 17 dialect per 10,000 back 38 author per 10,000 19 dialect per 10,000 aye 38 author per 10,000 11 dialect per 10,000 noo 38 author per 10,000 16 dialect per 10,000 twa 38 author per 10,000 2 dialect per 10,000 €™ 34 author per 10,000 14 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 see 34 author per 10,000 5 dialect per 10,000 as 34 author per 10,000 50 dialect per 10,000 here 34 author per 10,000 13 dialect per 10,000 hae 29 author per 10,000 35 dialect per 10,000 name 29 author per 10,000 4 dialect per 10,000 tell 29 author per 10,000 9 dialect per 10,000 is 29 author per 10,000 62 dialect per 10,000 if 29 author per 10,000 17 dialect per 10,000 ay 29 author per 10,000 13 dialect per 10,000 buiks 29 author per 10,000 0 dialect per 10,000 fae 29 author per 10,000 0 dialect per 10,000 life 29 author per 10,000 6 dialect per 10,000 day 29 author per 10,000 17 dialect per 10,000 wid 29 author per 10,000 1 dialect per 10,000 me 24 author per 10,000 16 dialect per 10,000 haun 24 author per 10,000 4 dialect per 10,000 wee 24 author per 10,000 23 dialect per 10,000 at 24 author per 10,000 69 dialect per 10,000 ane 24 author per 10,000 8 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 14 dialect per 10,000 €™re 24 author per 10,000 1 dialect per 10,000 place 24 author per 10,000 5 dialect per 10,000 mam 24 author per 10,000 0 dialect per 10,000 dee 24 author per 10,000 1 dialect per 10,000 mare 24 author per 10,000 0 dialect per 10,000 €“ 24 author per 10,000 5 dialect per 10,000 same 24 author per 10,000 6 dialect per 10,000 of 24 author per 10,000 10 dialect per 10,000 teacher 24 author per 10,000 1 dialect per 10,000 buik 24 author per 10,000 0 dialect per 10,000 fine 24 author per 10,000 1 dialect per 10,000 english 19 author per 10,000 2 dialect per 10,000 sea 19 author per 10,000 3 dialect per 10,000 masel 19 author per 10,000 5 dialect per 10,000 ain 19 author per 10,000 9 dialect per 10,000 niver 19 author per 10,000 1 dialect per 10,000 yer 19 author per 10,000 17 dialect per 10,000 sae 19 author per 10,000 28 dialect per 10,000 caa 19 author per 10,000 0 dialect per 10,000 oot 19 author per 10,000 34 dialect per 10,000 da 19 author per 10,000 0 dialect per 10,000 can 19 author per 10,000 10 dialect per 10,000 your 19 author per 10,000 1 dialect per 10,000 hale 19 author per 10,000 2 dialect per 10,000 €™d 19 author per 10,000 7 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 5 dialect per 10,000 mither 19 author per 10,000 1 dialect per 10,000 disna 19 author per 10,000 1 dialect per 10,000 kent 19 author per 10,000 11 dialect per 10,000 says 19 author per 10,000 3 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 am 19 author per 10,000 2 dialect per 10,000 thaim 19 author per 10,000 10 dialect per 10,000 fowk 19 author per 10,000 4 dialect per 10,000 those 19 author per 10,000 2 dialect per 10,000 een 19 author per 10,000 2 dialect per 10,000 wirds 19 author per 10,000 0 dialect per 10,000 tak 19 author per 10,000 9 dialect per 10,000 ken 19 author per 10,000 17 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 2 dialect per 10,000 land 14 author per 10,000 2 dialect per 10,000 dinna 14 author per 10,000 2 dialect per 10,000 by 14 author per 10,000 5 dialect per 10,000 quines 14 author per 10,000 0 dialect per 10,000 €™ve 14 author per 10,000 4 dialect per 10,000 tide 14 author per 10,000 0 dialect per 10,000 €™t 14 author per 10,000 3 dialect per 10,000 luik 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 1 dialect per 10,000 thocht 14 author per 10,000 13 dialect per 10,000 story 14 author per 10,000 3 dialect per 10,000 smell 14 author per 10,000 1 dialect per 10,000 bide 14 author per 10,000 4 dialect per 10,000 eneuch 14 author per 10,000 1 dialect per 10,000 on 14 author per 10,000 55 dialect per 10,000 need 14 author per 10,000 1 dialect per 10,000 we 14 author per 10,000 10 dialect per 10,000 stairted 14 author per 10,000 0 dialect per 10,000 schuil 14 author per 10,000 9 dialect per 10,000 thit 14 author per 10,000 8 dialect per 10,000 different 14 author per 10,000 2 dialect per 10,000 were 14 author per 10,000 15 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 2 dialect per 10,000 was 14 author per 10,000 58 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 5 dialect per 10,000 bairn 14 author per 10,000 4 dialect per 10,000 beach 14 author per 10,000 0 dialect per 10,000 them 14 author per 10,000 5 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 7 dialect per 10,000 likit 14 author per 10,000 0 dialect per 10,000 face 14 author per 10,000 5 dialect per 10,000 up 14 author per 10,000 41 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 0 dialect per 10,000 whither 10 author per 10,000 0 dialect per 10,000 gan 10 author per 10,000 2 dialect per 10,000 mak 10 author per 10,000 7 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 5 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 1 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 10 dialect per 10,000 thank 10 author per 10,000 0 dialect per 10,000 billy 10 author per 10,000 1 dialect per 10,000 affa 10 author per 10,000 0 dialect per 10,000 time 10 author per 10,000 14 dialect per 10,000 smile 10 author per 10,000 1 dialect per 10,000 micht 10 author per 10,000 9 dialect per 10,000 vyce 10 author per 10,000 0 dialect per 10,000 list 10 author per 10,000 1 dialect per 10,000 lik 10 author per 10,000 16 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 0 dialect per 10,000 teachers 10 author per 10,000 0 dialect per 10,000 understand 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 tongue 10 author per 10,000 1 dialect per 10,000 wunner 10 author per 10,000 0 dialect per 10,000 lass 10 author per 10,000 2 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 sit 10 author per 10,000 2 dialect per 10,000 feel 10 author per 10,000 3 dialect per 10,000 deep 10 author per 10,000 3 dialect per 10,000 song 10 author per 10,000 1 dialect per 10,000 run 10 author per 10,000 2 dialect per 10,000 muck 10 author per 10,000 0 dialect per 10,000 oan 10 author per 10,000 33 dialect per 10,000 intae 10 author per 10,000 10 dialect per 10,000 pen 10 author per 10,000 0 dialect per 10,000 don 10 author per 10,000 0 dialect per 10,000 thing 10 author per 10,000 2 dialect per 10,000 warld 10 author per 10,000 3 dialect per 10,000 wye 10 author per 10,000 0 dialect per 10,000 spik 10 author per 10,000 0 dialect per 10,000 doon 10 author per 10,000 24 dialect per 10,000 like 10 author per 10,000 8 dialect per 10,000 much 10 author per 10,000 6 dialect per 10,000 wint 10 author per 10,000 0 dialect per 10,000 anither 10 author per 10,000 7 dialect per 10,000 come 10 author per 10,000 9 dialect per 10,000 heid 10 author per 10,000 16 dialect per 10,000 lives 10 author per 10,000 1 dialect per 10,000 € 10 author per 10,000 14 dialect per 10,000 		Ulster
and 503 author per 10,000 10 dialect per 10,000 the 488 author per 10,000 345 dialect per 10,000 i 349 author per 10,000 16 dialect per 10,000 a 263 author per 10,000 287 dialect per 10,000 tae 206 author per 10,000 253 dialect per 10,000 ma 196 author per 10,000 23 dialect per 10,000 it 177 author per 10,000 73 dialect per 10,000 o 172 author per 10,000 208 dialect per 10,000 €™s 148 author per 10,000 11 dialect per 10,000 she 144 author per 10,000 31 dialect per 10,000 wi 144 author per 10,000 63 dialect per 10,000 in 139 author per 10,000 121 dialect per 10,000 or 120 author per 10,000 33 dialect per 10,000 an 115 author per 10,000 358 dialect per 10,000 €™ll 115 author per 10,000 4 dialect per 10,000 they 115 author per 10,000 26 dialect per 10,000 chris 96 author per 10,000 0 dialect per 10,000 that 96 author per 10,000 71 dialect per 10,000 her 96 author per 10,000 8 dialect per 10,000 be 91 author per 10,000 39 dialect per 10,000 for 86 author per 10,000 30 dialect per 10,000 €¦ 77 author per 10,000 0 dialect per 10,000 ye 72 author per 10,000 79 dialect per 10,000 but 72 author per 10,000 41 dialect per 10,000 nae 72 author per 10,000 22 dialect per 10,000 there 67 author per 10,000 8 dialect per 10,000 wis 67 author per 10,000 1 dialect per 10,000 this 67 author per 10,000 27 dialect per 10,000 their 57 author per 10,000 5 dialect per 10,000 quine 57 author per 10,000 0 dialect per 10,000 aa 57 author per 10,000 41 dialect per 10,000 mebbe 48 author per 10,000 2 dialect per 10,000 say 48 author per 10,000 10 dialect per 10,000 granny 48 author per 10,000 0 dialect per 10,000 said 43 author per 10,000 32 dialect per 10,000 you 43 author per 10,000 5 dialect per 10,000 think 43 author per 10,000 7 dialect per 10,000 will 38 author per 10,000 2 dialect per 10,000 fan 38 author per 10,000 1 dialect per 10,000 hame 38 author per 10,000 10 dialect per 10,000 fit 38 author per 10,000 4 dialect per 10,000 then 38 author per 10,000 17 dialect per 10,000 back 38 author per 10,000 2 dialect per 10,000 aye 38 author per 10,000 13 dialect per 10,000 noo 38 author per 10,000 22 dialect per 10,000 twa 38 author per 10,000 11 dialect per 10,000 €™ 34 author per 10,000 18 dialect per 10,000 could 34 author per 10,000 1 dialect per 10,000 see 34 author per 10,000 16 dialect per 10,000 as 34 author per 10,000 31 dialect per 10,000 here 34 author per 10,000 10 dialect per 10,000 hae 29 author per 10,000 55 dialect per 10,000 name 29 author per 10,000 6 dialect per 10,000 tell 29 author per 10,000 10 dialect per 10,000 is 29 author per 10,000 18 dialect per 10,000 if 29 author per 10,000 14 dialect per 10,000 ay 29 author per 10,000 2 dialect per 10,000 buiks 29 author per 10,000 1 dialect per 10,000 fae 29 author per 10,000 13 dialect per 10,000 life 29 author per 10,000 5 dialect per 10,000 day 29 author per 10,000 15 dialect per 10,000 wid 29 author per 10,000 1 dialect per 10,000 me 24 author per 10,000 24 dialect per 10,000 haun 24 author per 10,000 2 dialect per 10,000 wee 24 author per 10,000 27 dialect per 10,000 at 24 author per 10,000 58 dialect per 10,000 ane 24 author per 10,000 0 dialect per 10,000 chrisses 24 author per 10,000 0 dialect per 10,000 awa 24 author per 10,000 17 dialect per 10,000 €™re 24 author per 10,000 1 dialect per 10,000 place 24 author per 10,000 7 dialect per 10,000 mam 24 author per 10,000 0 dialect per 10,000 dee 24 author per 10,000 1 dialect per 10,000 mare 24 author per 10,000 0 dialect per 10,000 €“ 24 author per 10,000 0 dialect per 10,000 same 24 author per 10,000 5 dialect per 10,000 of 24 author per 10,000 2 dialect per 10,000 teacher 24 author per 10,000 0 dialect per 10,000 buik 24 author per 10,000 2 dialect per 10,000 fine 24 author per 10,000 1 dialect per 10,000 english 19 author per 10,000 1 dialect per 10,000 sea 19 author per 10,000 2 dialect per 10,000 masel 19 author per 10,000 1 dialect per 10,000 ain 19 author per 10,000 14 dialect per 10,000 niver 19 author per 10,000 9 dialect per 10,000 yer 19 author per 10,000 37 dialect per 10,000 sae 19 author per 10,000 25 dialect per 10,000 caa 19 author per 10,000 4 dialect per 10,000 oot 19 author per 10,000 49 dialect per 10,000 da 19 author per 10,000 2 dialect per 10,000 can 19 author per 10,000 15 dialect per 10,000 your 19 author per 10,000 1 dialect per 10,000 hale 19 author per 10,000 8 dialect per 10,000 €™d 19 author per 10,000 2 dialect per 10,000 jeest 19 author per 10,000 0 dialect per 10,000 even 19 author per 10,000 4 dialect per 10,000 mither 19 author per 10,000 3 dialect per 10,000 disna 19 author per 10,000 0 dialect per 10,000 kent 19 author per 10,000 1 dialect per 10,000 says 19 author per 10,000 3 dialect per 10,000 far 19 author per 10,000 5 dialect per 10,000 am 19 author per 10,000 4 dialect per 10,000 thaim 19 author per 10,000 32 dialect per 10,000 fowk 19 author per 10,000 21 dialect per 10,000 those 19 author per 10,000 0 dialect per 10,000 een 19 author per 10,000 8 dialect per 10,000 wirds 19 author per 10,000 1 dialect per 10,000 tak 19 author per 10,000 13 dialect per 10,000 ken 19 author per 10,000 3 dialect per 10,000 erms 19 author per 10,000 0 dialect per 10,000 cos 14 author per 10,000 0 dialect per 10,000 land 14 author per 10,000 1 dialect per 10,000 dinna 14 author per 10,000 0 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 quines 14 author per 10,000 0 dialect per 10,000 €™ve 14 author per 10,000 0 dialect per 10,000 tide 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 2 dialect per 10,000 luik 14 author per 10,000 0 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 thocht 14 author per 10,000 11 dialect per 10,000 story 14 author per 10,000 2 dialect per 10,000 smell 14 author per 10,000 0 dialect per 10,000 bide 14 author per 10,000 1 dialect per 10,000 eneuch 14 author per 10,000 4 dialect per 10,000 on 14 author per 10,000 57 dialect per 10,000 need 14 author per 10,000 4 dialect per 10,000 we 14 author per 10,000 18 dialect per 10,000 stairted 14 author per 10,000 1 dialect per 10,000 schuil 14 author per 10,000 3 dialect per 10,000 thit 14 author per 10,000 0 dialect per 10,000 different 14 author per 10,000 1 dialect per 10,000 were 14 author per 10,000 4 dialect per 10,000 crying 14 author per 10,000 0 dialect per 10,000 €™na 14 author per 10,000 0 dialect per 10,000 pit 14 author per 10,000 11 dialect per 10,000 was 14 author per 10,000 22 dialect per 10,000 baithe 14 author per 10,000 0 dialect per 10,000 €™m 14 author per 10,000 1 dialect per 10,000 bairn 14 author per 10,000 0 dialect per 10,000 beach 14 author per 10,000 0 dialect per 10,000 them 14 author per 10,000 8 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 4 dialect per 10,000 likit 14 author per 10,000 0 dialect per 10,000 face 14 author per 10,000 4 dialect per 10,000 up 14 author per 10,000 32 dialect per 10,000 clart 10 author per 10,000 0 dialect per 10,000 aathin 10 author per 10,000 0 dialect per 10,000 whither 10 author per 10,000 0 dialect per 10,000 gan 10 author per 10,000 6 dialect per 10,000 mak 10 author per 10,000 10 dialect per 10,000 peewits 10 author per 10,000 0 dialect per 10,000 us 10 author per 10,000 4 dialect per 10,000 naither 10 author per 10,000 0 dialect per 10,000 naethin 10 author per 10,000 5 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 nah 10 author per 10,000 0 dialect per 10,000 get 10 author per 10,000 9 dialect per 10,000 thank 10 author per 10,000 0 dialect per 10,000 billy 10 author per 10,000 1 dialect per 10,000 affa 10 author per 10,000 0 dialect per 10,000 time 10 author per 10,000 13 dialect per 10,000 smile 10 author per 10,000 2 dialect per 10,000 micht 10 author per 10,000 6 dialect per 10,000 vyce 10 author per 10,000 0 dialect per 10,000 list 10 author per 10,000 0 dialect per 10,000 lik 10 author per 10,000 7 dialect per 10,000 christine 10 author per 10,000 0 dialect per 10,000 loons 10 author per 10,000 0 dialect per 10,000 teachers 10 author per 10,000 0 dialect per 10,000 understand 10 author per 10,000 0 dialect per 10,000 ging 10 author per 10,000 0 dialect per 10,000 tongue 10 author per 10,000 2 dialect per 10,000 wunner 10 author per 10,000 2 dialect per 10,000 lass 10 author per 10,000 1 dialect per 10,000 bonnie 10 author per 10,000 1 dialect per 10,000 sit 10 author per 10,000 2 dialect per 10,000 feel 10 author per 10,000 2 dialect per 10,000 deep 10 author per 10,000 1 dialect per 10,000 song 10 author per 10,000 0 dialect per 10,000 run 10 author per 10,000 5 dialect per 10,000 muck 10 author per 10,000 0 dialect per 10,000 oan 10 author per 10,000 18 dialect per 10,000 intae 10 author per 10,000 14 dialect per 10,000 pen 10 author per 10,000 0 dialect per 10,000 don 10 author per 10,000 0 dialect per 10,000 thing 10 author per 10,000 7 dialect per 10,000 warld 10 author per 10,000 0 dialect per 10,000 wye 10 author per 10,000 13 dialect per 10,000 spik 10 author per 10,000 0 dialect per 10,000 doon 10 author per 10,000 28 dialect per 10,000 like 10 author per 10,000 9 dialect per 10,000 much 10 author per 10,000 3 dialect per 10,000 wint 10 author per 10,000 0 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 come 10 author per 10,000 10 dialect per 10,000 heid 10 author per 10,000 12 dialect per 10,000 lives 10 author per 10,000 0 dialect per 10,000 € 10 author per 10,000 8 dialect per 10,000