A Corpus of 21st Century Scots Texts

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Higgs, Jo


Total words by this author in corpus - 2,315
Total unique words used by this author in corpus - 923
Ratio of total words to unique words - 2.508
Top ten most common words - the, of, a, wiz, to, n, ah, that, €™, he,

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 376 author per 10,000 565 dialect per 10,000 of 324 author per 10,000 11 dialect per 10,000 a 311 author per 10,000 266 dialect per 10,000 wiz 216 author per 10,000 2 dialect per 10,000 to 186 author per 10,000 9 dialect per 10,000 n 181 author per 10,000 5 dialect per 10,000 ah 177 author per 10,000 73 dialect per 10,000 that 173 author per 10,000 106 dialect per 10,000 €™ 156 author per 10,000 39 dialect per 10,000 he 151 author per 10,000 87 dialect per 10,000 it 121 author per 10,000 116 dialect per 10,000 his 112 author per 10,000 59 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 59 dialect per 10,000 wi 95 author per 10,000 67 dialect per 10,000 but 95 author per 10,000 48 dialect per 10,000 ye 95 author per 10,000 62 dialect per 10,000 in 78 author per 10,000 147 dialect per 10,000 and 78 author per 10,000 94 dialect per 10,000 so 73 author per 10,000 10 dialect per 10,000 €™s 69 author per 10,000 32 dialect per 10,000 this 60 author per 10,000 41 dialect per 10,000 just 60 author per 10,000 4 dialect per 10,000 on 52 author per 10,000 55 dialect per 10,000 no 52 author per 10,000 36 dialect per 10,000 €™ve 52 author per 10,000 4 dialect per 10,000 yer 52 author per 10,000 21 dialect per 10,000 or 48 author per 10,000 29 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 59 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 29 dialect per 10,000 yin 39 author per 10,000 10 dialect per 10,000 fae 39 author per 10,000 26 dialect per 10,000 €™d 39 author per 10,000 6 dialect per 10,000 him 39 author per 10,000 29 dialect per 10,000 aye 39 author per 10,000 16 dialect per 10,000 like 35 author per 10,000 28 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 13 dialect per 10,000 there 35 author per 10,000 23 dialect per 10,000 thelonious 35 author per 10,000 0 dialect per 10,000 even 35 author per 10,000 9 dialect per 10,000 course 35 author per 10,000 1 dialect per 10,000 €™m 35 author per 10,000 6 dialect per 10,000 been 35 author per 10,000 18 dialect per 10,000 most 30 author per 10,000 0 dialect per 10,000 by 30 author per 10,000 17 dialect per 10,000 wid 30 author per 10,000 8 dialect per 10,000 never 30 author per 10,000 6 dialect per 10,000 their 30 author per 10,000 19 dialect per 10,000 out 30 author per 10,000 3 dialect per 10,000 than 30 author per 10,000 10 dialect per 10,000 then 30 author per 10,000 17 dialect per 10,000 up 30 author per 10,000 40 dialect per 10,000 an 26 author per 10,000 225 dialect per 10,000 only 26 author per 10,000 6 dialect per 10,000 wurds 26 author per 10,000 1 dialect per 10,000 €“ 26 author per 10,000 5 dialect per 10,000 be 26 author per 10,000 48 dialect per 10,000 me 26 author per 10,000 40 dialect per 10,000 boy 26 author per 10,000 2 dialect per 10,000 for 26 author per 10,000 48 dialect per 10,000 two 22 author per 10,000 3 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 2 dialect per 10,000 she 22 author per 10,000 56 dialect per 10,000 aw 22 author per 10,000 39 dialect per 10,000 name 22 author per 10,000 4 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 big 22 author per 10,000 8 dialect per 10,000 if 22 author per 10,000 17 dialect per 10,000 they 22 author per 10,000 41 dialect per 10,000 all 17 author per 10,000 2 dialect per 10,000 about 17 author per 10,000 2 dialect per 10,000 next 17 author per 10,000 3 dialect per 10,000 few 17 author per 10,000 3 dialect per 10,000 had 17 author per 10,000 22 dialect per 10,000 nor 17 author per 10,000 7 dialect per 10,000 hing 17 author per 10,000 2 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 15 dialect per 10,000 after 17 author per 10,000 1 dialect per 10,000 prick 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 2 dialect per 10,000 ma 17 author per 10,000 51 dialect per 10,000 down 17 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 58 dialect per 10,000 whit 17 author per 10,000 29 dialect per 10,000 nae 17 author per 10,000 24 dialect per 10,000 gid 17 author per 10,000 1 dialect per 10,000 cleaver 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 2 dialect per 10,000 hings 17 author per 10,000 1 dialect per 10,000 auld 17 author per 10,000 14 dialect per 10,000 being 17 author per 10,000 1 dialect per 10,000 while 17 author per 10,000 5 dialect per 10,000 aboot 17 author per 10,000 29 dialect per 10,000 enough 17 author per 10,000 3 dialect per 10,000 kind 13 author per 10,000 2 dialect per 10,000 make 13 author per 10,000 2 dialect per 10,000 funny 13 author per 10,000 1 dialect per 10,000 which 13 author per 10,000 5 dialect per 10,000 mind 13 author per 10,000 8 dialect per 10,000 through 13 author per 10,000 6 dialect per 10,000 any 13 author per 10,000 2 dialect per 10,000 wurd 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 20 dialect per 10,000 refer 13 author per 10,000 0 dialect per 10,000 used 13 author per 10,000 2 dialect per 10,000 town 13 author per 10,000 0 dialect per 10,000 aff 13 author per 10,000 14 dialect per 10,000 wizni 13 author per 10,000 0 dialect per 10,000 further 13 author per 10,000 1 dialect per 10,000 world 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 6 dialect per 10,000 its 13 author per 10,000 11 dialect per 10,000 set 13 author per 10,000 4 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 ken 13 author per 10,000 14 dialect per 10,000 intae 13 author per 10,000 18 dialect per 10,000 shite 13 author per 10,000 1 dialect per 10,000 meat 13 author per 10,000 0 dialect per 10,000 whole 13 author per 10,000 1 dialect per 10,000 each 13 author per 10,000 2 dialect per 10,000 tall 13 author per 10,000 0 dialect per 10,000 fuck 13 author per 10,000 2 dialect per 10,000 €™ll 13 author per 10,000 4 dialect per 10,000 friendship 13 author per 10,000 0 dialect per 10,000 fur 13 author per 10,000 23 dialect per 10,000 mibbe 13 author per 10,000 2 dialect per 10,000 fella 13 author per 10,000 0 dialect per 10,000 mair 13 author per 10,000 20 dialect per 10,000 when 13 author per 10,000 18 dialect per 10,000 likes 13 author per 10,000 2 dialect per 10,000 right 13 author per 10,000 5 dialect per 10,000 give 13 author per 10,000 0 dialect per 10,000 both 13 author per 10,000 0 dialect per 10,000 such 9 author per 10,000 1 dialect per 10,000 €˜yer 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 well 9 author per 10,000 4 dialect per 10,000 wanted 9 author per 10,000 1 dialect per 10,000 maw 9 author per 10,000 2 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 pals 9 author per 10,000 1 dialect per 10,000 barney 9 author per 10,000 0 dialect per 10,000 said 9 author per 10,000 40 dialect per 10,000 bitty 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 3 dialect per 10,000 inflated 9 author per 10,000 0 dialect per 10,000 these 9 author per 10,000 4 dialect per 10,000 fellas 9 author per 10,000 0 dialect per 10,000 half 9 author per 10,000 1 dialect per 10,000 tell 9 author per 10,000 8 dialect per 10,000 quite 9 author per 10,000 2 dialect per 10,000 moments 9 author per 10,000 0 dialect per 10,000 since 9 author per 10,000 2 dialect per 10,000 sure 9 author per 10,000 2 dialect per 10,000 try 9 author per 10,000 2 dialect per 10,000 grasp 9 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 15 dialect per 10,000 love 9 author per 10,000 2 dialect per 10,000 too 9 author per 10,000 2 dialect per 10,000 above 9 author per 10,000 1 dialect per 10,000 let 9 author per 10,000 4 dialect per 10,000 much 9 author per 10,000 3 dialect per 10,000 explain 9 author per 10,000 1 dialect per 10,000 scrap 9 author per 10,000 0 dialect per 10,000 less 9 author per 10,000 2 dialect per 10,000 account 9 author per 10,000 0 dialect per 10,000 genuinely 9 author per 10,000 0 dialect per 10,000 back 9 author per 10,000 20 dialect per 10,000 own 9 author per 10,000 0 dialect per 10,000 her 9 author per 10,000 46 dialect per 10,000 huge 9 author per 10,000 0 dialect per 10,000 fence 9 author per 10,000 1 dialect per 10,000 maid 9 author per 10,000 0 dialect per 10,000 ferret 9 author per 10,000 0 dialect per 10,000 thick 9 author per 10,000 1 dialect per 10,000 naw 9 author per 10,000 3 dialect per 10,000 yins 9 author per 10,000 1 dialect per 10,000 anything 9 author per 10,000 0 dialect per 10,000 do 9 author per 10,000 1 dialect per 10,000 who 9 author per 10,000 3 dialect per 10,000 bit 9 author per 10,000 18 dialect per 10,000 peace 9 author per 10,000 1 dialect per 10,000 around 9 author per 10,000 0 dialect per 10,000 windbag 9 author per 10,000 0 dialect per 10,000 how 9 author per 10,000 6 dialect per 10,000 breached 9 author per 10,000 0 dialect per 10,000 ways 9 author per 10,000 0 dialect per 10,000 might 9 author per 10,000 1 dialect per 10,000 assumed 9 author per 10,000 0 dialect per 10,000 begin 9 author per 10,000 0 dialect per 10,000 work 9 author per 10,000 2 dialect per 10,000 quiet 9 author per 10,000 1 dialect per 10,000 thi 9 author per 10,000 5 dialect per 10,000 man 9 author per 10,000 11 dialect per 10,000 		Doric
the 376 author per 10,000 452 dialect per 10,000 of 324 author per 10,000 8 dialect per 10,000 a 311 author per 10,000 315 dialect per 10,000 wiz 216 author per 10,000 13 dialect per 10,000 to 186 author per 10,000 8 dialect per 10,000 n 181 author per 10,000 1 dialect per 10,000 ah 177 author per 10,000 41 dialect per 10,000 that 173 author per 10,000 53 dialect per 10,000 €™ 156 author per 10,000 10 dialect per 10,000 he 151 author per 10,000 96 dialect per 10,000 it 121 author per 10,000 99 dialect per 10,000 his 112 author per 10,000 69 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 52 dialect per 10,000 wi 95 author per 10,000 77 dialect per 10,000 but 95 author per 10,000 25 dialect per 10,000 ye 95 author per 10,000 93 dialect per 10,000 in 78 author per 10,000 130 dialect per 10,000 and 78 author per 10,000 41 dialect per 10,000 so 73 author per 10,000 17 dialect per 10,000 €™s 69 author per 10,000 21 dialect per 10,000 this 60 author per 10,000 19 dialect per 10,000 just 60 author per 10,000 1 dialect per 10,000 on 52 author per 10,000 67 dialect per 10,000 no 52 author per 10,000 7 dialect per 10,000 €™ve 52 author per 10,000 2 dialect per 10,000 yer 52 author per 10,000 35 dialect per 10,000 or 48 author per 10,000 26 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 68 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 18 dialect per 10,000 yin 39 author per 10,000 2 dialect per 10,000 fae 39 author per 10,000 30 dialect per 10,000 €™d 39 author per 10,000 10 dialect per 10,000 him 39 author per 10,000 30 dialect per 10,000 aye 39 author per 10,000 22 dialect per 10,000 like 35 author per 10,000 37 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 13 dialect per 10,000 there 35 author per 10,000 22 dialect per 10,000 thelonious 35 author per 10,000 0 dialect per 10,000 even 35 author per 10,000 6 dialect per 10,000 course 35 author per 10,000 2 dialect per 10,000 €™m 35 author per 10,000 3 dialect per 10,000 been 35 author per 10,000 13 dialect per 10,000 most 30 author per 10,000 0 dialect per 10,000 by 30 author per 10,000 9 dialect per 10,000 wid 30 author per 10,000 18 dialect per 10,000 never 30 author per 10,000 2 dialect per 10,000 their 30 author per 10,000 19 dialect per 10,000 out 30 author per 10,000 2 dialect per 10,000 than 30 author per 10,000 8 dialect per 10,000 then 30 author per 10,000 9 dialect per 10,000 up 30 author per 10,000 47 dialect per 10,000 an 26 author per 10,000 306 dialect per 10,000 only 26 author per 10,000 6 dialect per 10,000 wurds 26 author per 10,000 0 dialect per 10,000 €“ 26 author per 10,000 6 dialect per 10,000 be 26 author per 10,000 45 dialect per 10,000 me 26 author per 10,000 32 dialect per 10,000 boy 26 author per 10,000 0 dialect per 10,000 for 26 author per 10,000 45 dialect per 10,000 two 22 author per 10,000 1 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 1 dialect per 10,000 she 22 author per 10,000 66 dialect per 10,000 aw 22 author per 10,000 4 dialect per 10,000 name 22 author per 10,000 4 dialect per 10,000 them 22 author per 10,000 23 dialect per 10,000 big 22 author per 10,000 6 dialect per 10,000 if 22 author per 10,000 16 dialect per 10,000 they 22 author per 10,000 36 dialect per 10,000 all 17 author per 10,000 4 dialect per 10,000 about 17 author per 10,000 2 dialect per 10,000 next 17 author per 10,000 3 dialect per 10,000 few 17 author per 10,000 1 dialect per 10,000 had 17 author per 10,000 4 dialect per 10,000 nor 17 author per 10,000 6 dialect per 10,000 hing 17 author per 10,000 1 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 13 dialect per 10,000 after 17 author per 10,000 0 dialect per 10,000 prick 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 0 dialect per 10,000 ma 17 author per 10,000 50 dialect per 10,000 down 17 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 39 dialect per 10,000 whit 17 author per 10,000 2 dialect per 10,000 nae 17 author per 10,000 50 dialect per 10,000 gid 17 author per 10,000 2 dialect per 10,000 cleaver 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 1 dialect per 10,000 hings 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 8 dialect per 10,000 being 17 author per 10,000 1 dialect per 10,000 while 17 author per 10,000 2 dialect per 10,000 aboot 17 author per 10,000 33 dialect per 10,000 enough 17 author per 10,000 2 dialect per 10,000 kind 13 author per 10,000 1 dialect per 10,000 make 13 author per 10,000 1 dialect per 10,000 funny 13 author per 10,000 1 dialect per 10,000 which 13 author per 10,000 1 dialect per 10,000 mind 13 author per 10,000 5 dialect per 10,000 through 13 author per 10,000 3 dialect per 10,000 any 13 author per 10,000 1 dialect per 10,000 wurd 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 8 dialect per 10,000 refer 13 author per 10,000 0 dialect per 10,000 used 13 author per 10,000 1 dialect per 10,000 town 13 author per 10,000 0 dialect per 10,000 aff 13 author per 10,000 14 dialect per 10,000 wizni 13 author per 10,000 0 dialect per 10,000 further 13 author per 10,000 0 dialect per 10,000 world 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 its 13 author per 10,000 8 dialect per 10,000 set 13 author per 10,000 4 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 ken 13 author per 10,000 23 dialect per 10,000 intae 13 author per 10,000 10 dialect per 10,000 shite 13 author per 10,000 0 dialect per 10,000 meat 13 author per 10,000 0 dialect per 10,000 whole 13 author per 10,000 0 dialect per 10,000 each 13 author per 10,000 1 dialect per 10,000 tall 13 author per 10,000 0 dialect per 10,000 fuck 13 author per 10,000 0 dialect per 10,000 €™ll 13 author per 10,000 4 dialect per 10,000 friendship 13 author per 10,000 0 dialect per 10,000 fur 13 author per 10,000 18 dialect per 10,000 mibbe 13 author per 10,000 0 dialect per 10,000 fella 13 author per 10,000 0 dialect per 10,000 mair 13 author per 10,000 17 dialect per 10,000 when 13 author per 10,000 3 dialect per 10,000 likes 13 author per 10,000 1 dialect per 10,000 right 13 author per 10,000 1 dialect per 10,000 give 13 author per 10,000 0 dialect per 10,000 both 13 author per 10,000 0 dialect per 10,000 such 9 author per 10,000 1 dialect per 10,000 €˜yer 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 well 9 author per 10,000 2 dialect per 10,000 wanted 9 author per 10,000 1 dialect per 10,000 maw 9 author per 10,000 0 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 pals 9 author per 10,000 1 dialect per 10,000 barney 9 author per 10,000 0 dialect per 10,000 said 9 author per 10,000 36 dialect per 10,000 bitty 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 inflated 9 author per 10,000 0 dialect per 10,000 these 9 author per 10,000 2 dialect per 10,000 fellas 9 author per 10,000 0 dialect per 10,000 half 9 author per 10,000 3 dialect per 10,000 tell 9 author per 10,000 9 dialect per 10,000 quite 9 author per 10,000 2 dialect per 10,000 moments 9 author per 10,000 0 dialect per 10,000 since 9 author per 10,000 2 dialect per 10,000 sure 9 author per 10,000 4 dialect per 10,000 try 9 author per 10,000 3 dialect per 10,000 grasp 9 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 6 dialect per 10,000 love 9 author per 10,000 3 dialect per 10,000 too 9 author per 10,000 1 dialect per 10,000 above 9 author per 10,000 0 dialect per 10,000 let 9 author per 10,000 5 dialect per 10,000 much 9 author per 10,000 4 dialect per 10,000 explain 9 author per 10,000 1 dialect per 10,000 scrap 9 author per 10,000 0 dialect per 10,000 less 9 author per 10,000 1 dialect per 10,000 account 9 author per 10,000 0 dialect per 10,000 genuinely 9 author per 10,000 0 dialect per 10,000 back 9 author per 10,000 21 dialect per 10,000 own 9 author per 10,000 0 dialect per 10,000 her 9 author per 10,000 64 dialect per 10,000 huge 9 author per 10,000 0 dialect per 10,000 fence 9 author per 10,000 0 dialect per 10,000 maid 9 author per 10,000 1 dialect per 10,000 ferret 9 author per 10,000 0 dialect per 10,000 thick 9 author per 10,000 1 dialect per 10,000 naw 9 author per 10,000 1 dialect per 10,000 yins 9 author per 10,000 0 dialect per 10,000 anything 9 author per 10,000 0 dialect per 10,000 do 9 author per 10,000 3 dialect per 10,000 who 9 author per 10,000 1 dialect per 10,000 bit 9 author per 10,000 43 dialect per 10,000 peace 9 author per 10,000 1 dialect per 10,000 around 9 author per 10,000 0 dialect per 10,000 windbag 9 author per 10,000 0 dialect per 10,000 how 9 author per 10,000 2 dialect per 10,000 breached 9 author per 10,000 0 dialect per 10,000 ways 9 author per 10,000 0 dialect per 10,000 might 9 author per 10,000 0 dialect per 10,000 assumed 9 author per 10,000 0 dialect per 10,000 begin 9 author per 10,000 1 dialect per 10,000 work 9 author per 10,000 2 dialect per 10,000 quiet 9 author per 10,000 0 dialect per 10,000 thi 9 author per 10,000 28 dialect per 10,000 man 9 author per 10,000 7 dialect per 10,000
Shetland
the 376 author per 10,000 18 dialect per 10,000 of 324 author per 10,000 11 dialect per 10,000 a 311 author per 10,000 280 dialect per 10,000 wiz 216 author per 10,000 0 dialect per 10,000 to 186 author per 10,000 8 dialect per 10,000 n 181 author per 10,000 1 dialect per 10,000 ah 177 author per 10,000 0 dialect per 10,000 that 173 author per 10,000 4 dialect per 10,000 €™ 156 author per 10,000 17 dialect per 10,000 he 151 author per 10,000 103 dialect per 10,000 it 121 author per 10,000 58 dialect per 10,000 his 112 author per 10,000 52 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 79 dialect per 10,000 wi 95 author per 10,000 95 dialect per 10,000 but 95 author per 10,000 29 dialect per 10,000 ye 95 author per 10,000 0 dialect per 10,000 in 78 author per 10,000 105 dialect per 10,000 and 78 author per 10,000 15 dialect per 10,000 so 73 author per 10,000 26 dialect per 10,000 €™s 69 author per 10,000 15 dialect per 10,000 this 60 author per 10,000 1 dialect per 10,000 just 60 author per 10,000 10 dialect per 10,000 on 52 author per 10,000 52 dialect per 10,000 no 52 author per 10,000 35 dialect per 10,000 €™ve 52 author per 10,000 1 dialect per 10,000 yer 52 author per 10,000 0 dialect per 10,000 or 48 author per 10,000 32 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 112 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 0 dialect per 10,000 yin 39 author per 10,000 0 dialect per 10,000 fae 39 author per 10,000 40 dialect per 10,000 €™d 39 author per 10,000 2 dialect per 10,000 him 39 author per 10,000 47 dialect per 10,000 aye 39 author per 10,000 11 dialect per 10,000 like 35 author per 10,000 2 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 13 dialect per 10,000 there 35 author per 10,000 1 dialect per 10,000 thelonious 35 author per 10,000 0 dialect per 10,000 even 35 author per 10,000 10 dialect per 10,000 course 35 author per 10,000 1 dialect per 10,000 €™m 35 author per 10,000 5 dialect per 10,000 been 35 author per 10,000 16 dialect per 10,000 most 30 author per 10,000 4 dialect per 10,000 by 30 author per 10,000 7 dialect per 10,000 wid 30 author per 10,000 38 dialect per 10,000 never 30 author per 10,000 7 dialect per 10,000 their 30 author per 10,000 1 dialect per 10,000 out 30 author per 10,000 1 dialect per 10,000 than 30 author per 10,000 0 dialect per 10,000 then 30 author per 10,000 1 dialect per 10,000 up 30 author per 10,000 42 dialect per 10,000 an 26 author per 10,000 330 dialect per 10,000 only 26 author per 10,000 5 dialect per 10,000 wurds 26 author per 10,000 0 dialect per 10,000 €“ 26 author per 10,000 2 dialect per 10,000 be 26 author per 10,000 56 dialect per 10,000 me 26 author per 10,000 41 dialect per 10,000 boy 26 author per 10,000 5 dialect per 10,000 for 26 author per 10,000 35 dialect per 10,000 two 22 author per 10,000 1 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 0 dialect per 10,000 she 22 author per 10,000 7 dialect per 10,000 aw 22 author per 10,000 0 dialect per 10,000 name 22 author per 10,000 4 dialect per 10,000 them 22 author per 10,000 1 dialect per 10,000 big 22 author per 10,000 3 dialect per 10,000 if 22 author per 10,000 25 dialect per 10,000 they 22 author per 10,000 2 dialect per 10,000 all 17 author per 10,000 3 dialect per 10,000 about 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 1 dialect per 10,000 few 17 author per 10,000 1 dialect per 10,000 had 17 author per 10,000 2 dialect per 10,000 nor 17 author per 10,000 3 dialect per 10,000 hing 17 author per 10,000 0 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 3 dialect per 10,000 after 17 author per 10,000 0 dialect per 10,000 prick 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 1 dialect per 10,000 ma 17 author per 10,000 0 dialect per 10,000 down 17 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 81 dialect per 10,000 whit 17 author per 10,000 39 dialect per 10,000 nae 17 author per 10,000 23 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 cleaver 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 1 dialect per 10,000 hings 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 being 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 4 dialect per 10,000 aboot 17 author per 10,000 41 dialect per 10,000 enough 17 author per 10,000 0 dialect per 10,000 kind 13 author per 10,000 6 dialect per 10,000 make 13 author per 10,000 0 dialect per 10,000 funny 13 author per 10,000 0 dialect per 10,000 which 13 author per 10,000 1 dialect per 10,000 mind 13 author per 10,000 10 dialect per 10,000 through 13 author per 10,000 0 dialect per 10,000 any 13 author per 10,000 0 dialect per 10,000 wurd 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 0 dialect per 10,000 refer 13 author per 10,000 0 dialect per 10,000 used 13 author per 10,000 2 dialect per 10,000 town 13 author per 10,000 0 dialect per 10,000 aff 13 author per 10,000 18 dialect per 10,000 wizni 13 author per 10,000 0 dialect per 10,000 further 13 author per 10,000 0 dialect per 10,000 world 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 7 dialect per 10,000 its 13 author per 10,000 3 dialect per 10,000 set 13 author per 10,000 12 dialect per 10,000 nice 13 author per 10,000 0 dialect per 10,000 ken 13 author per 10,000 14 dialect per 10,000 intae 13 author per 10,000 8 dialect per 10,000 shite 13 author per 10,000 0 dialect per 10,000 meat 13 author per 10,000 0 dialect per 10,000 whole 13 author per 10,000 0 dialect per 10,000 each 13 author per 10,000 1 dialect per 10,000 tall 13 author per 10,000 0 dialect per 10,000 fuck 13 author per 10,000 0 dialect per 10,000 €™ll 13 author per 10,000 5 dialect per 10,000 friendship 13 author per 10,000 0 dialect per 10,000 fur 13 author per 10,000 32 dialect per 10,000 mibbe 13 author per 10,000 0 dialect per 10,000 fella 13 author per 10,000 0 dialect per 10,000 mair 13 author per 10,000 19 dialect per 10,000 when 13 author per 10,000 5 dialect per 10,000 likes 13 author per 10,000 0 dialect per 10,000 right 13 author per 10,000 5 dialect per 10,000 give 13 author per 10,000 0 dialect per 10,000 both 13 author per 10,000 1 dialect per 10,000 such 9 author per 10,000 0 dialect per 10,000 €˜yer 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 10 dialect per 10,000 well 9 author per 10,000 1 dialect per 10,000 wanted 9 author per 10,000 1 dialect per 10,000 maw 9 author per 10,000 0 dialect per 10,000 bar 9 author per 10,000 0 dialect per 10,000 pals 9 author per 10,000 0 dialect per 10,000 barney 9 author per 10,000 0 dialect per 10,000 said 9 author per 10,000 61 dialect per 10,000 bitty 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 5 dialect per 10,000 inflated 9 author per 10,000 0 dialect per 10,000 these 9 author per 10,000 1 dialect per 10,000 fellas 9 author per 10,000 0 dialect per 10,000 half 9 author per 10,000 2 dialect per 10,000 tell 9 author per 10,000 8 dialect per 10,000 quite 9 author per 10,000 0 dialect per 10,000 moments 9 author per 10,000 0 dialect per 10,000 since 9 author per 10,000 1 dialect per 10,000 sure 9 author per 10,000 4 dialect per 10,000 try 9 author per 10,000 2 dialect per 10,000 grasp 9 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 0 dialect per 10,000 love 9 author per 10,000 4 dialect per 10,000 too 9 author per 10,000 3 dialect per 10,000 above 9 author per 10,000 0 dialect per 10,000 let 9 author per 10,000 1 dialect per 10,000 much 9 author per 10,000 2 dialect per 10,000 explain 9 author per 10,000 0 dialect per 10,000 scrap 9 author per 10,000 0 dialect per 10,000 less 9 author per 10,000 3 dialect per 10,000 account 9 author per 10,000 0 dialect per 10,000 genuinely 9 author per 10,000 0 dialect per 10,000 back 9 author per 10,000 18 dialect per 10,000 own 9 author per 10,000 0 dialect per 10,000 her 9 author per 10,000 64 dialect per 10,000 huge 9 author per 10,000 0 dialect per 10,000 fence 9 author per 10,000 1 dialect per 10,000 maid 9 author per 10,000 0 dialect per 10,000 ferret 9 author per 10,000 0 dialect per 10,000 thick 9 author per 10,000 0 dialect per 10,000 naw 9 author per 10,000 0 dialect per 10,000 yins 9 author per 10,000 0 dialect per 10,000 anything 9 author per 10,000 0 dialect per 10,000 do 9 author per 10,000 5 dialect per 10,000 who 9 author per 10,000 1 dialect per 10,000 bit 9 author per 10,000 38 dialect per 10,000 peace 9 author per 10,000 0 dialect per 10,000 around 9 author per 10,000 0 dialect per 10,000 windbag 9 author per 10,000 0 dialect per 10,000 how 9 author per 10,000 1 dialect per 10,000 breached 9 author per 10,000 0 dialect per 10,000 ways 9 author per 10,000 0 dialect per 10,000 might 9 author per 10,000 1 dialect per 10,000 assumed 9 author per 10,000 0 dialect per 10,000 begin 9 author per 10,000 0 dialect per 10,000 work 9 author per 10,000 0 dialect per 10,000 quiet 9 author per 10,000 1 dialect per 10,000 thi 9 author per 10,000 0 dialect per 10,000 man 9 author per 10,000 17 dialect per 10,000 		Orkney
the 376 author per 10,000 582 dialect per 10,000 of 324 author per 10,000 6 dialect per 10,000 a 311 author per 10,000 298 dialect per 10,000 wiz 216 author per 10,000 0 dialect per 10,000 to 186 author per 10,000 8 dialect per 10,000 n 181 author per 10,000 0 dialect per 10,000 ah 177 author per 10,000 2 dialect per 10,000 that 173 author per 10,000 75 dialect per 10,000 €™ 156 author per 10,000 13 dialect per 10,000 he 151 author per 10,000 85 dialect per 10,000 it 121 author per 10,000 23 dialect per 10,000 his 112 author per 10,000 61 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 48 dialect per 10,000 wi 95 author per 10,000 46 dialect per 10,000 but 95 author per 10,000 28 dialect per 10,000 ye 95 author per 10,000 17 dialect per 10,000 in 78 author per 10,000 146 dialect per 10,000 and 78 author per 10,000 199 dialect per 10,000 so 73 author per 10,000 30 dialect per 10,000 €™s 69 author per 10,000 17 dialect per 10,000 this 60 author per 10,000 34 dialect per 10,000 just 60 author per 10,000 2 dialect per 10,000 on 52 author per 10,000 73 dialect per 10,000 no 52 author per 10,000 58 dialect per 10,000 €™ve 52 author per 10,000 1 dialect per 10,000 yer 52 author per 10,000 7 dialect per 10,000 or 48 author per 10,000 30 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 54 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 1 dialect per 10,000 yin 39 author per 10,000 2 dialect per 10,000 fae 39 author per 10,000 39 dialect per 10,000 €™d 39 author per 10,000 2 dialect per 10,000 him 39 author per 10,000 21 dialect per 10,000 aye 39 author per 10,000 9 dialect per 10,000 like 35 author per 10,000 31 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 17 dialect per 10,000 there 35 author per 10,000 18 dialect per 10,000 thelonious 35 author per 10,000 0 dialect per 10,000 even 35 author per 10,000 6 dialect per 10,000 course 35 author per 10,000 0 dialect per 10,000 €™m 35 author per 10,000 3 dialect per 10,000 been 35 author per 10,000 18 dialect per 10,000 most 30 author per 10,000 4 dialect per 10,000 by 30 author per 10,000 16 dialect per 10,000 wid 30 author per 10,000 20 dialect per 10,000 never 30 author per 10,000 3 dialect per 10,000 their 30 author per 10,000 8 dialect per 10,000 out 30 author per 10,000 1 dialect per 10,000 than 30 author per 10,000 12 dialect per 10,000 then 30 author per 10,000 18 dialect per 10,000 up 30 author per 10,000 34 dialect per 10,000 an 26 author per 10,000 172 dialect per 10,000 only 26 author per 10,000 7 dialect per 10,000 wurds 26 author per 10,000 0 dialect per 10,000 €“ 26 author per 10,000 13 dialect per 10,000 be 26 author per 10,000 42 dialect per 10,000 me 26 author per 10,000 115 dialect per 10,000 boy 26 author per 10,000 4 dialect per 10,000 for 26 author per 10,000 26 dialect per 10,000 two 22 author per 10,000 4 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 0 dialect per 10,000 she 22 author per 10,000 9 dialect per 10,000 aw 22 author per 10,000 0 dialect per 10,000 name 22 author per 10,000 2 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 big 22 author per 10,000 7 dialect per 10,000 if 22 author per 10,000 15 dialect per 10,000 they 22 author per 10,000 37 dialect per 10,000 all 17 author per 10,000 6 dialect per 10,000 about 17 author per 10,000 1 dialect per 10,000 next 17 author per 10,000 4 dialect per 10,000 few 17 author per 10,000 2 dialect per 10,000 had 17 author per 10,000 3 dialect per 10,000 nor 17 author per 10,000 1 dialect per 10,000 hing 17 author per 10,000 1 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 6 dialect per 10,000 after 17 author per 10,000 0 dialect per 10,000 prick 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 0 dialect per 10,000 ma 17 author per 10,000 1 dialect per 10,000 down 17 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 71 dialect per 10,000 whit 17 author per 10,000 29 dialect per 10,000 nae 17 author per 10,000 3 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 cleaver 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 0 dialect per 10,000 hings 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 being 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 6 dialect per 10,000 aboot 17 author per 10,000 26 dialect per 10,000 enough 17 author per 10,000 2 dialect per 10,000 kind 13 author per 10,000 2 dialect per 10,000 make 13 author per 10,000 0 dialect per 10,000 funny 13 author per 10,000 2 dialect per 10,000 which 13 author per 10,000 1 dialect per 10,000 mind 13 author per 10,000 9 dialect per 10,000 through 13 author per 10,000 9 dialect per 10,000 any 13 author per 10,000 5 dialect per 10,000 wurd 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 10 dialect per 10,000 refer 13 author per 10,000 0 dialect per 10,000 used 13 author per 10,000 2 dialect per 10,000 town 13 author per 10,000 0 dialect per 10,000 aff 13 author per 10,000 8 dialect per 10,000 wizni 13 author per 10,000 0 dialect per 10,000 further 13 author per 10,000 1 dialect per 10,000 world 13 author per 10,000 2 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 its 13 author per 10,000 2 dialect per 10,000 set 13 author per 10,000 6 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 ken 13 author per 10,000 15 dialect per 10,000 intae 13 author per 10,000 18 dialect per 10,000 shite 13 author per 10,000 0 dialect per 10,000 meat 13 author per 10,000 0 dialect per 10,000 whole 13 author per 10,000 3 dialect per 10,000 each 13 author per 10,000 4 dialect per 10,000 tall 13 author per 10,000 1 dialect per 10,000 fuck 13 author per 10,000 0 dialect per 10,000 €™ll 13 author per 10,000 2 dialect per 10,000 friendship 13 author per 10,000 0 dialect per 10,000 fur 13 author per 10,000 49 dialect per 10,000 mibbe 13 author per 10,000 3 dialect per 10,000 fella 13 author per 10,000 0 dialect per 10,000 mair 13 author per 10,000 1 dialect per 10,000 when 13 author per 10,000 23 dialect per 10,000 likes 13 author per 10,000 1 dialect per 10,000 right 13 author per 10,000 17 dialect per 10,000 give 13 author per 10,000 0 dialect per 10,000 both 13 author per 10,000 4 dialect per 10,000 such 9 author per 10,000 3 dialect per 10,000 €˜yer 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 well 9 author per 10,000 1 dialect per 10,000 wanted 9 author per 10,000 1 dialect per 10,000 maw 9 author per 10,000 0 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 pals 9 author per 10,000 1 dialect per 10,000 barney 9 author per 10,000 0 dialect per 10,000 said 9 author per 10,000 15 dialect per 10,000 bitty 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 inflated 9 author per 10,000 0 dialect per 10,000 these 9 author per 10,000 2 dialect per 10,000 fellas 9 author per 10,000 0 dialect per 10,000 half 9 author per 10,000 2 dialect per 10,000 tell 9 author per 10,000 6 dialect per 10,000 quite 9 author per 10,000 2 dialect per 10,000 moments 9 author per 10,000 0 dialect per 10,000 since 9 author per 10,000 3 dialect per 10,000 sure 9 author per 10,000 5 dialect per 10,000 try 9 author per 10,000 2 dialect per 10,000 grasp 9 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 6 dialect per 10,000 love 9 author per 10,000 5 dialect per 10,000 too 9 author per 10,000 9 dialect per 10,000 above 9 author per 10,000 2 dialect per 10,000 let 9 author per 10,000 3 dialect per 10,000 much 9 author per 10,000 6 dialect per 10,000 explain 9 author per 10,000 0 dialect per 10,000 scrap 9 author per 10,000 0 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Southern
the 376 author per 10,000 449 dialect per 10,000 of 324 author per 10,000 10 dialect per 10,000 a 311 author per 10,000 230 dialect per 10,000 wiz 216 author per 10,000 0 dialect per 10,000 to 186 author per 10,000 1 dialect per 10,000 n 181 author per 10,000 8 dialect per 10,000 ah 177 author per 10,000 75 dialect per 10,000 that 173 author per 10,000 65 dialect per 10,000 €™ 156 author per 10,000 14 dialect per 10,000 he 151 author per 10,000 12 dialect per 10,000 it 121 author per 10,000 63 dialect per 10,000 his 112 author per 10,000 37 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 50 dialect per 10,000 wi 95 author per 10,000 66 dialect per 10,000 but 95 author per 10,000 42 dialect per 10,000 ye 95 author per 10,000 21 dialect per 10,000 in 78 author per 10,000 107 dialect per 10,000 and 78 author per 10,000 33 dialect per 10,000 so 73 author per 10,000 3 dialect per 10,000 €™s 69 author per 10,000 34 dialect per 10,000 this 60 author per 10,000 35 dialect per 10,000 just 60 author per 10,000 3 dialect per 10,000 on 52 author per 10,000 55 dialect per 10,000 no 52 author per 10,000 28 dialect per 10,000 €™ve 52 author per 10,000 4 dialect per 10,000 yer 52 author per 10,000 17 dialect per 10,000 or 48 author per 10,000 22 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 69 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 23 dialect per 10,000 yin 39 author per 10,000 22 dialect per 10,000 fae 39 author per 10,000 0 dialect per 10,000 €™d 39 author per 10,000 7 dialect per 10,000 him 39 author per 10,000 11 dialect per 10,000 aye 39 author per 10,000 11 dialect per 10,000 like 35 author per 10,000 8 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 12 dialect per 10,000 there 35 author per 10,000 16 dialect per 10,000 thelonious 35 author 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dialect per 10,000 two 22 author per 10,000 0 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 1 dialect per 10,000 she 22 author per 10,000 91 dialect per 10,000 aw 22 author per 10,000 32 dialect per 10,000 name 22 author per 10,000 4 dialect per 10,000 them 22 author per 10,000 5 dialect per 10,000 big 22 author per 10,000 5 dialect per 10,000 if 22 author per 10,000 17 dialect per 10,000 they 22 author per 10,000 31 dialect per 10,000 all 17 author per 10,000 0 dialect per 10,000 about 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 5 dialect per 10,000 few 17 author per 10,000 2 dialect per 10,000 had 17 author per 10,000 0 dialect per 10,000 nor 17 author per 10,000 5 dialect per 10,000 hing 17 author per 10,000 8 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 15 dialect per 10,000 after 17 author per 10,000 1 dialect per 10,000 prick 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 1 dialect per 10,000 ma 17 author per 10,000 59 dialect per 10,000 down 17 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 62 dialect per 10,000 whit 17 author per 10,000 30 dialect per 10,000 nae 17 author per 10,000 25 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 cleaver 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 2 dialect per 10,000 hings 17 author per 10,000 3 dialect per 10,000 auld 17 author per 10,000 22 dialect per 10,000 being 17 author per 10,000 1 dialect per 10,000 while 17 author per 10,000 5 dialect per 10,000 aboot 17 author per 10,000 29 dialect per 10,000 enough 17 author per 10,000 5 dialect per 10,000 kind 13 author per 10,000 1 dialect per 10,000 make 13 author per 10,000 0 dialect per 10,000 funny 13 author per 10,000 2 dialect per 10,000 which 13 author per 10,000 8 dialect per 10,000 mind 13 author per 10,000 8 dialect per 10,000 through 13 author per 10,000 2 dialect per 10,000 any 13 author per 10,000 0 dialect per 10,000 wurd 13 author per 10,000 1 dialect per 10,000 oan 13 author per 10,000 33 dialect per 10,000 refer 13 author per 10,000 0 dialect per 10,000 used 13 author per 10,000 0 dialect per 10,000 town 13 author per 10,000 0 dialect per 10,000 aff 13 author per 10,000 4 dialect per 10,000 wizni 13 author per 10,000 0 dialect per 10,000 further 13 author per 10,000 1 dialect per 10,000 world 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 its 13 author per 10,000 8 dialect per 10,000 set 13 author per 10,000 4 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 ken 13 author per 10,000 17 dialect per 10,000 intae 13 author per 10,000 10 dialect per 10,000 shite 13 author per 10,000 0 dialect per 10,000 meat 13 author per 10,000 1 dialect per 10,000 whole 13 author per 10,000 0 dialect per 10,000 each 13 author per 10,000 2 dialect per 10,000 tall 13 author per 10,000 0 dialect per 10,000 fuck 13 author per 10,000 0 dialect per 10,000 €™ll 13 author per 10,000 2 dialect per 10,000 friendship 13 author per 10,000 0 dialect per 10,000 fur 13 author per 10,000 42 dialect per 10,000 mibbe 13 author per 10,000 0 dialect per 10,000 fella 13 author per 10,000 0 dialect per 10,000 mair 13 author per 10,000 16 dialect per 10,000 when 13 author per 10,000 16 dialect per 10,000 likes 13 author per 10,000 0 dialect per 10,000 right 13 author per 10,000 1 dialect per 10,000 give 13 author per 10,000 0 dialect per 10,000 both 13 author per 10,000 0 dialect per 10,000 such 9 author per 10,000 0 dialect per 10,000 €˜yer 9 author per 10,000 0 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 well 9 author per 10,000 1 dialect per 10,000 wanted 9 author per 10,000 1 dialect per 10,000 maw 9 author per 10,000 0 dialect per 10,000 bar 9 author per 10,000 0 dialect per 10,000 pals 9 author per 10,000 0 dialect per 10,000 barney 9 author per 10,000 0 dialect per 10,000 said 9 author per 10,000 65 dialect per 10,000 bitty 9 author per 10,000 0 dialect per 10,000 ever 9 author per 10,000 1 dialect per 10,000 inflated 9 author per 10,000 0 dialect per 10,000 these 9 author per 10,000 2 dialect per 10,000 fellas 9 author per 10,000 0 dialect per 10,000 half 9 author per 10,000 0 dialect per 10,000 tell 9 author per 10,000 9 dialect per 10,000 quite 9 author per 10,000 2 dialect per 10,000 moments 9 author per 10,000 0 dialect per 10,000 since 9 author per 10,000 1 dialect per 10,000 sure 9 author per 10,000 1 dialect per 10,000 try 9 author per 10,000 3 dialect per 10,000 grasp 9 author per 10,000 0 dialect per 10,000 us 9 author per 10,000 5 dialect per 10,000 love 9 author per 10,000 1 dialect per 10,000 too 9 author per 10,000 0 dialect per 10,000 above 9 author per 10,000 1 dialect per 10,000 let 9 author per 10,000 3 dialect per 10,000 much 9 author per 10,000 6 dialect per 10,000 explain 9 author per 10,000 2 dialect per 10,000 scrap 9 author per 10,000 0 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10,000 breached 9 author per 10,000 0 dialect per 10,000 ways 9 author per 10,000 0 dialect per 10,000 might 9 author per 10,000 1 dialect per 10,000 assumed 9 author per 10,000 0 dialect per 10,000 begin 9 author per 10,000 0 dialect per 10,000 work 9 author per 10,000 2 dialect per 10,000 quiet 9 author per 10,000 1 dialect per 10,000 thi 9 author per 10,000 0 dialect per 10,000 man 9 author per 10,000 7 dialect per 10,000 		Ulster
the 376 author per 10,000 345 dialect per 10,000 of 324 author per 10,000 2 dialect per 10,000 a 311 author per 10,000 287 dialect per 10,000 wiz 216 author per 10,000 1 dialect per 10,000 to 186 author per 10,000 3 dialect per 10,000 n 181 author per 10,000 1 dialect per 10,000 ah 177 author per 10,000 11 dialect per 10,000 that 173 author per 10,000 71 dialect per 10,000 €™ 156 author per 10,000 18 dialect per 10,000 he 151 author per 10,000 62 dialect per 10,000 it 121 author per 10,000 73 dialect per 10,000 his 112 author per 10,000 25 dialect per 10,000 evans 112 author per 10,000 0 dialect per 10,000 nichols 104 author per 10,000 0 dialect per 10,000 as 99 author per 10,000 31 dialect per 10,000 wi 95 author per 10,000 63 dialect per 10,000 but 95 author per 10,000 41 dialect per 10,000 ye 95 author per 10,000 79 dialect per 10,000 in 78 author per 10,000 121 dialect per 10,000 and 78 author per 10,000 10 dialect per 10,000 so 73 author per 10,000 5 dialect per 10,000 €™s 69 author per 10,000 11 dialect per 10,000 this 60 author per 10,000 27 dialect per 10,000 just 60 author per 10,000 1 dialect per 10,000 on 52 author per 10,000 57 dialect per 10,000 no 52 author per 10,000 22 dialect per 10,000 €™ve 52 author per 10,000 0 dialect per 10,000 yer 52 author per 10,000 37 dialect per 10,000 or 48 author per 10,000 33 dialect per 10,000 evan 48 author per 10,000 0 dialect per 10,000 at 43 author per 10,000 58 dialect per 10,000 fucking 43 author per 10,000 0 dialect per 10,000 wee 39 author per 10,000 27 dialect per 10,000 yin 39 author per 10,000 34 dialect per 10,000 fae 39 author per 10,000 13 dialect per 10,000 €™d 39 author per 10,000 2 dialect per 10,000 him 39 author per 10,000 11 dialect per 10,000 aye 39 author per 10,000 13 dialect per 10,000 like 35 author per 10,000 9 dialect per 10,000 cid 35 author per 10,000 0 dialect per 10,000 some 35 author per 10,000 7 dialect per 10,000 there 35 author per 10,000 8 dialect per 10,000 thelonious 35 author 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dialect per 10,000 two 22 author per 10,000 1 dialect per 10,000 bastard 22 author per 10,000 0 dialect per 10,000 pal 22 author per 10,000 0 dialect per 10,000 she 22 author per 10,000 31 dialect per 10,000 aw 22 author per 10,000 1 dialect per 10,000 name 22 author per 10,000 6 dialect per 10,000 them 22 author per 10,000 8 dialect per 10,000 big 22 author per 10,000 8 dialect per 10,000 if 22 author per 10,000 14 dialect per 10,000 they 22 author per 10,000 26 dialect per 10,000 all 17 author per 10,000 3 dialect per 10,000 about 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 0 dialect per 10,000 few 17 author per 10,000 0 dialect per 10,000 had 17 author per 10,000 22 dialect per 10,000 nor 17 author per 10,000 11 dialect per 10,000 hing 17 author per 10,000 0 dialect per 10,000 tool 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 4 dialect per 10,000 after 17 author per 10,000 0 dialect per 10,000 prick 17 author per 10,000 0 dialect per 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