A Corpus of 21st Century Scots Texts

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Forrest, Liam


Total words by this author in corpus - 1,194
Total unique words used by this author in corpus - 468
Ratio of total words to unique words - 2.551
Top ten most common words - the, eh, a, they, it, wurr, tae, in, he, like,

Word frequency analysis

For these graphs we normalise the words used by the author to occurrences per million, and we calculate a similar normalised number of occurrences for the same word in each dialect. The author's norm is plotted against each dialect's norm in each graph.
If the dots line up with the diagonal line then the author is using words found in that dialect in about the typical frequency expected.
If the dots are below the dotted line, then the author's words are not found in the dialect as often as expected.
If the dots are along the y-axis, the words are not found in that dialect.
To save memory only the most frequent 200 words of the author's work are plotted.

Lallans
the 570 author per 10,000 552 dialect per 10,000 eh 310 author per 10,000 7 dialect per 10,000 a 310 author per 10,000 260 dialect per 10,000 they 218 author per 10,000 45 dialect per 10,000 it 209 author per 10,000 125 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 219 dialect per 10,000 in 193 author per 10,000 147 dialect per 10,000 he 184 author per 10,000 95 dialect per 10,000 like 176 author per 10,000 27 dialect per 10,000 wiz 159 author per 10,000 2 dialect per 10,000 their 126 author per 10,000 18 dialect per 10,000 his 126 author per 10,000 53 dialect per 10,000 that 109 author per 10,000 115 dialect per 10,000 n 101 author per 10,000 2 dialect per 10,000 oot 92 author per 10,000 40 dialect per 10,000 aboot 84 author per 10,000 31 dialect per 10,000 and 84 author per 10,000 99 dialect per 10,000 wi 84 author per 10,000 62 dialect per 10,000 fae 75 author per 10,000 28 dialect per 10,000 hud 75 author per 10,000 5 dialect per 10,000 looked 75 author per 10,000 3 dialect per 10,000 to 67 author per 10,000 8 dialect per 10,000 up 67 author per 10,000 41 dialect per 10,000 there 67 author per 10,000 27 dialect per 10,000 oan 59 author per 10,000 16 dialect per 10,000 got 59 author per 10,000 12 dialect per 10,000 group 59 author per 10,000 2 dialect per 10,000 pals 59 author per 10,000 2 dialect per 10,000 but 59 author per 10,000 46 dialect per 10,000 them 59 author per 10,000 18 dialect per 10,000 €™ 50 author per 10,000 40 dialect per 10,000 fur 50 author per 10,000 22 dialect per 10,000 wit 50 author per 10,000 1 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 58 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 4 dialect per 10,000 €™s 42 author per 10,000 39 dialect per 10,000 lassies 42 author per 10,000 1 dialect per 10,000 club 42 author per 10,000 1 dialect per 10,000 ye 42 author per 10,000 58 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 1 dialect per 10,000 - 42 author per 10,000 25 dialect per 10,000 wan 42 author per 10,000 9 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 0 dialect per 10,000 aff 42 author per 10,000 14 dialect per 10,000 aw 42 author per 10,000 45 dialect per 10,000 so 34 author per 10,000 10 dialect per 10,000 way 34 author per 10,000 3 dialect per 10,000 went 34 author per 10,000 7 dialect per 10,000 than 34 author per 10,000 11 dialect per 10,000 could 34 author per 10,000 10 dialect per 10,000 hair 34 author per 10,000 3 dialect per 10,000 front 34 author per 10,000 3 dialect per 10,000 pal 34 author per 10,000 2 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 3 dialect per 10,000 been 34 author per 10,000 20 dialect per 10,000 when 34 author per 10,000 19 dialect per 10,000 as 34 author per 10,000 59 dialect per 10,000 boys 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 50 dialect per 10,000 get 25 author per 10,000 16 dialect per 10,000 doon 25 author per 10,000 18 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 11 dialect per 10,000 no 25 author per 10,000 36 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 18 dialect per 10,000 bunch 25 author per 10,000 1 dialect per 10,000 year 25 author per 10,000 7 dialect per 10,000 afore 25 author per 10,000 9 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 4 dialect per 10,000 wid 25 author per 10,000 10 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 59 dialect per 10,000 nae 25 author per 10,000 20 dialect per 10,000 shop 25 author per 10,000 1 dialect per 10,000 line 25 author per 10,000 2 dialect per 10,000 then 25 author per 10,000 16 dialect per 10,000 if 25 author per 10,000 18 dialect per 10,000 aroond 25 author per 10,000 2 dialect per 10,000 nixt 25 author per 10,000 2 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 5 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 5 dialect per 10,000 hame 25 author per 10,000 5 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 two 17 author per 10,000 3 dialect per 10,000 by 17 author per 10,000 17 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 3 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 5 dialect per 10,000 aye 17 author per 10,000 16 dialect per 10,000 body 17 author per 10,000 3 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 4 dialect per 10,000 nicht 17 author per 10,000 5 dialect per 10,000 try 17 author per 10,000 2 dialect per 10,000 faces 17 author per 10,000 1 dialect per 10,000 us 17 author per 10,000 14 dialect per 10,000 came 17 author per 10,000 3 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 5 dialect per 10,000 go 17 author per 10,000 7 dialect per 10,000 blue 17 author per 10,000 1 dialect per 10,000 turned 17 author per 10,000 1 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 2 dialect per 10,000 ticht 17 author per 10,000 1 dialect per 10,000 €™re 17 author per 10,000 4 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 5 dialect per 10,000 wee 17 author per 10,000 28 dialect per 10,000 auld 17 author per 10,000 14 dialect per 10,000 dee 17 author per 10,000 1 dialect per 10,000 where 17 author per 10,000 3 dialect per 10,000 dum 17 author per 10,000 0 dialect per 10,000 throw 17 author per 10,000 0 dialect per 10,000 obviously 17 author per 10,000 0 dialect per 10,000 men 17 author per 10,000 3 dialect per 10,000 cause 17 author per 10,000 7 dialect per 10,000 pick 17 author per 10,000 1 dialect per 10,000 id 17 author per 10,000 0 dialect per 10,000 lookin 17 author per 10,000 3 dialect per 10,000 flair 17 author per 10,000 2 dialect per 10,000 we 17 author per 10,000 34 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 wearin 17 author per 10,000 1 dialect per 10,000 skirts 17 author per 10,000 0 dialect per 10,000 folk 17 author per 10,000 5 dialect per 10,000 how 17 author per 10,000 7 dialect per 10,000 erse 17 author per 10,000 1 dialect per 10,000 since 17 author per 10,000 2 dialect per 10,000 even 17 author per 10,000 10 dialect per 10,000 rain 17 author per 10,000 1 dialect per 10,000 surprised 17 author per 10,000 0 dialect per 10,000 muckle 17 author per 10,000 10 dialect per 10,000 blawn 17 author per 10,000 0 dialect per 10,000 chance 17 author per 10,000 2 dialect per 10,000 every 17 author per 10,000 3 dialect per 10,000 each 8 author per 10,000 2 dialect per 10,000 himself 8 author per 10,000 0 dialect per 10,000 twins 8 author per 10,000 0 dialect per 10,000 somebdy 8 author per 10,000 0 dialect per 10,000 thinking 8 author per 10,000 0 dialect per 10,000 fleein 8 author per 10,000 1 dialect per 10,000 clothes 8 author per 10,000 0 dialect per 10,000 troosers 8 author per 10,000 0 dialect per 10,000 elbae 8 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 22 dialect per 10,000 might 8 author per 10,000 1 dialect per 10,000 bent 8 author per 10,000 0 dialect per 10,000 €™ll 8 author per 10,000 5 dialect per 10,000 laying 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 83 dialect per 10,000 intae 8 author per 10,000 19 dialect per 10,000 concussion 8 author per 10,000 0 dialect per 10,000 pair 8 author per 10,000 1 dialect per 10,000 wits 8 author per 10,000 0 dialect per 10,000 leather 8 author per 10,000 0 dialect per 10,000 terrible 8 author per 10,000 0 dialect per 10,000 stretch 8 author per 10,000 0 dialect per 10,000 haircut 8 author per 10,000 0 dialect per 10,000 torn 8 author per 10,000 0 dialect per 10,000 stopped 8 author per 10,000 0 dialect per 10,000 richt 8 author per 10,000 13 dialect per 10,000 police 8 author per 10,000 0 dialect per 10,000 stawnds 8 author per 10,000 0 dialect per 10,000 part 8 author per 10,000 1 dialect per 10,000 sex 8 author per 10,000 0 dialect per 10,000 renault 8 author per 10,000 0 dialect per 10,000 whos 8 author per 10,000 0 dialect per 10,000 thumb 8 author per 10,000 0 dialect per 10,000 sare 8 author per 10,000 0 dialect per 10,000 am 8 author per 10,000 3 dialect per 10,000 never 8 author per 10,000 7 dialect per 10,000 seventeen 8 author per 10,000 0 dialect per 10,000 stane 8 author per 10,000 1 dialect per 10,000 fake 8 author per 10,000 0 dialect per 10,000 pest 8 author per 10,000 0 dialect per 10,000 taller 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 clio 8 author per 10,000 0 dialect per 10,000 tap 8 author per 10,000 2 dialect per 10,000 mind 8 author per 10,000 7 dialect per 10,000 outlinin 8 author per 10,000 0 dialect per 10,000 getting 8 author per 10,000 0 dialect per 10,000 place 8 author per 10,000 6 dialect per 10,000 gave 8 author per 10,000 1 dialect per 10,000
Doric
the 570 author per 10,000 534 dialect per 10,000 eh 310 author per 10,000 1 dialect per 10,000 a 310 author per 10,000 285 dialect per 10,000 they 218 author per 10,000 40 dialect per 10,000 it 209 author per 10,000 109 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 178 dialect per 10,000 in 193 author per 10,000 136 dialect per 10,000 he 184 author per 10,000 103 dialect per 10,000 like 176 author per 10,000 41 dialect per 10,000 wiz 159 author per 10,000 19 dialect per 10,000 their 126 author per 10,000 23 dialect per 10,000 his 126 author per 10,000 79 dialect per 10,000 that 109 author per 10,000 60 dialect per 10,000 n 101 author per 10,000 1 dialect per 10,000 oot 92 author per 10,000 52 dialect per 10,000 aboot 84 author per 10,000 35 dialect per 10,000 and 84 author per 10,000 46 dialect per 10,000 wi 84 author per 10,000 88 dialect per 10,000 fae 75 author per 10,000 29 dialect per 10,000 hud 75 author per 10,000 2 dialect per 10,000 looked 75 author per 10,000 3 dialect per 10,000 to 67 author per 10,000 9 dialect per 10,000 up 67 author per 10,000 48 dialect per 10,000 there 67 author per 10,000 23 dialect per 10,000 oan 59 author per 10,000 10 dialect per 10,000 got 59 author per 10,000 11 dialect per 10,000 group 59 author per 10,000 1 dialect per 10,000 pals 59 author per 10,000 1 dialect per 10,000 but 59 author per 10,000 15 dialect per 10,000 them 59 author per 10,000 31 dialect per 10,000 €™ 50 author per 10,000 33 dialect per 10,000 fur 50 author per 10,000 21 dialect per 10,000 wit 50 author per 10,000 0 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 57 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 0 dialect per 10,000 €™s 42 author per 10,000 30 dialect per 10,000 lassies 42 author per 10,000 0 dialect per 10,000 club 42 author per 10,000 1 dialect per 10,000 ye 42 author per 10,000 77 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 26 dialect per 10,000 wan 42 author per 10,000 2 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 9 dialect per 10,000 aff 42 author per 10,000 15 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 so 34 author per 10,000 12 dialect per 10,000 way 34 author per 10,000 1 dialect per 10,000 went 34 author per 10,000 4 dialect per 10,000 than 34 author per 10,000 9 dialect per 10,000 could 34 author per 10,000 7 dialect per 10,000 hair 34 author per 10,000 3 dialect per 10,000 front 34 author per 10,000 3 dialect per 10,000 pal 34 author per 10,000 1 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 3 dialect per 10,000 been 34 author per 10,000 13 dialect per 10,000 when 34 author per 10,000 2 dialect per 10,000 as 34 author per 10,000 57 dialect per 10,000 boys 34 author per 10,000 0 dialect per 10,000 be 34 author per 10,000 44 dialect per 10,000 get 25 author per 10,000 14 dialect per 10,000 doon 25 author per 10,000 33 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 9 dialect per 10,000 no 25 author per 10,000 5 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 13 dialect per 10,000 bunch 25 author per 10,000 0 dialect per 10,000 year 25 author per 10,000 6 dialect per 10,000 afore 25 author per 10,000 14 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 1 dialect per 10,000 wid 25 author per 10,000 18 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 41 dialect per 10,000 nae 25 author per 10,000 49 dialect per 10,000 shop 25 author per 10,000 1 dialect per 10,000 line 25 author per 10,000 1 dialect per 10,000 then 25 author per 10,000 8 dialect per 10,000 if 25 author per 10,000 17 dialect per 10,000 aroond 25 author per 10,000 0 dialect per 10,000 nixt 25 author per 10,000 0 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 4 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 2 dialect per 10,000 hame 25 author per 10,000 11 dialect per 10,000 see 17 author per 10,000 21 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 by 17 author per 10,000 7 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 2 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 9 dialect per 10,000 aye 17 author per 10,000 15 dialect per 10,000 body 17 author per 10,000 3 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 2 dialect per 10,000 nicht 17 author per 10,000 12 dialect per 10,000 try 17 author per 10,000 3 dialect per 10,000 faces 17 author per 10,000 1 dialect per 10,000 us 17 author per 10,000 6 dialect per 10,000 came 17 author per 10,000 5 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 2 dialect per 10,000 go 17 author per 10,000 3 dialect per 10,000 blue 17 author per 10,000 3 dialect per 10,000 turned 17 author per 10,000 3 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 4 dialect per 10,000 ticht 17 author per 10,000 1 dialect per 10,000 €™re 17 author per 10,000 2 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 1 dialect per 10,000 wee 17 author per 10,000 19 dialect per 10,000 auld 17 author per 10,000 10 dialect per 10,000 dee 17 author per 10,000 10 dialect per 10,000 where 17 author per 10,000 1 dialect per 10,000 dum 17 author per 10,000 0 dialect per 10,000 throw 17 author per 10,000 3 dialect per 10,000 obviously 17 author per 10,000 0 dialect per 10,000 men 17 author per 10,000 3 dialect per 10,000 cause 17 author per 10,000 5 dialect per 10,000 pick 17 author per 10,000 1 dialect per 10,000 id 17 author per 10,000 0 dialect per 10,000 lookin 17 author per 10,000 4 dialect per 10,000 flair 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 21 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 wearin 17 author per 10,000 0 dialect per 10,000 skirts 17 author per 10,000 0 dialect per 10,000 folk 17 author per 10,000 3 dialect per 10,000 how 17 author per 10,000 1 dialect per 10,000 erse 17 author per 10,000 1 dialect per 10,000 since 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 8 dialect per 10,000 rain 17 author per 10,000 8 dialect per 10,000 surprised 17 author per 10,000 0 dialect per 10,000 muckle 17 author per 10,000 9 dialect per 10,000 blawn 17 author per 10,000 0 dialect per 10,000 chance 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 1 dialect per 10,000 each 8 author per 10,000 1 dialect per 10,000 himself 8 author per 10,000 0 dialect per 10,000 twins 8 author per 10,000 0 dialect per 10,000 somebdy 8 author per 10,000 0 dialect per 10,000 thinking 8 author per 10,000 0 dialect per 10,000 fleein 8 author per 10,000 1 dialect per 10,000 clothes 8 author per 10,000 0 dialect per 10,000 troosers 8 author per 10,000 0 dialect per 10,000 elbae 8 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 9 dialect per 10,000 might 8 author per 10,000 0 dialect per 10,000 bent 8 author per 10,000 0 dialect per 10,000 €™ll 8 author per 10,000 4 dialect per 10,000 laying 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 46 dialect per 10,000 intae 8 author per 10,000 12 dialect per 10,000 concussion 8 author per 10,000 0 dialect per 10,000 pair 8 author per 10,000 2 dialect per 10,000 wits 8 author per 10,000 0 dialect per 10,000 leather 8 author per 10,000 1 dialect per 10,000 terrible 8 author per 10,000 0 dialect per 10,000 stretch 8 author per 10,000 0 dialect per 10,000 haircut 8 author per 10,000 0 dialect per 10,000 torn 8 author per 10,000 0 dialect per 10,000 stopped 8 author per 10,000 1 dialect per 10,000 richt 8 author per 10,000 16 dialect per 10,000 police 8 author per 10,000 0 dialect per 10,000 stawnds 8 author per 10,000 0 dialect per 10,000 part 8 author per 10,000 0 dialect per 10,000 sex 8 author per 10,000 0 dialect per 10,000 renault 8 author per 10,000 0 dialect per 10,000 whos 8 author per 10,000 0 dialect per 10,000 thumb 8 author per 10,000 0 dialect per 10,000 sare 8 author per 10,000 0 dialect per 10,000 am 8 author per 10,000 2 dialect per 10,000 never 8 author per 10,000 1 dialect per 10,000 seventeen 8 author per 10,000 0 dialect per 10,000 stane 8 author per 10,000 0 dialect per 10,000 fake 8 author per 10,000 0 dialect per 10,000 pest 8 author per 10,000 0 dialect per 10,000 taller 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 clio 8 author per 10,000 0 dialect per 10,000 tap 8 author per 10,000 4 dialect per 10,000 mind 8 author per 10,000 4 dialect per 10,000 outlinin 8 author per 10,000 0 dialect per 10,000 getting 8 author per 10,000 1 dialect per 10,000 place 8 author per 10,000 6 dialect per 10,000 gave 8 author per 10,000 1 dialect per 10,000
Shetland
the 570 author per 10,000 23 dialect per 10,000 eh 310 author per 10,000 0 dialect per 10,000 a 310 author per 10,000 235 dialect per 10,000 they 218 author per 10,000 1 dialect per 10,000 it 209 author per 10,000 59 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 61 dialect per 10,000 in 193 author per 10,000 94 dialect per 10,000 he 184 author per 10,000 122 dialect per 10,000 like 176 author per 10,000 2 dialect per 10,000 wiz 159 author per 10,000 0 dialect per 10,000 their 126 author per 10,000 1 dialect per 10,000 his 126 author per 10,000 61 dialect per 10,000 that 109 author per 10,000 4 dialect per 10,000 n 101 author per 10,000 1 dialect per 10,000 oot 92 author per 10,000 46 dialect per 10,000 aboot 84 author per 10,000 43 dialect per 10,000 and 84 author per 10,000 18 dialect per 10,000 wi 84 author per 10,000 92 dialect per 10,000 fae 75 author per 10,000 32 dialect per 10,000 hud 75 author per 10,000 0 dialect per 10,000 looked 75 author per 10,000 1 dialect per 10,000 to 67 author per 10,000 7 dialect per 10,000 up 67 author per 10,000 42 dialect per 10,000 there 67 author per 10,000 1 dialect per 10,000 oan 59 author per 10,000 0 dialect per 10,000 got 59 author per 10,000 7 dialect per 10,000 group 59 author per 10,000 1 dialect per 10,000 pals 59 author per 10,000 0 dialect per 10,000 but 59 author per 10,000 36 dialect per 10,000 them 59 author per 10,000 1 dialect per 10,000 €™ 50 author per 10,000 28 dialect per 10,000 fur 50 author per 10,000 10 dialect per 10,000 wit 50 author per 10,000 1 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 121 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 0 dialect per 10,000 €™s 42 author per 10,000 17 dialect per 10,000 lassies 42 author per 10,000 0 dialect per 10,000 club 42 author per 10,000 0 dialect per 10,000 ye 42 author per 10,000 0 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 66 dialect per 10,000 wan 42 author per 10,000 18 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 0 dialect per 10,000 aff 42 author per 10,000 22 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 so 34 author per 10,000 32 dialect per 10,000 way 34 author per 10,000 0 dialect per 10,000 went 34 author per 10,000 0 dialect per 10,000 than 34 author per 10,000 0 dialect per 10,000 could 34 author per 10,000 16 dialect per 10,000 hair 34 author per 10,000 3 dialect per 10,000 front 34 author per 10,000 0 dialect per 10,000 pal 34 author per 10,000 0 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 5 dialect per 10,000 been 34 author per 10,000 13 dialect per 10,000 when 34 author per 10,000 3 dialect per 10,000 as 34 author per 10,000 78 dialect per 10,000 boys 34 author per 10,000 2 dialect per 10,000 be 34 author per 10,000 60 dialect per 10,000 get 25 author per 10,000 6 dialect per 10,000 doon 25 author per 10,000 28 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 11 dialect per 10,000 no 25 author per 10,000 37 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 4 dialect per 10,000 bunch 25 author per 10,000 0 dialect per 10,000 year 25 author per 10,000 3 dialect per 10,000 afore 25 author per 10,000 16 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 4 dialect per 10,000 wid 25 author per 10,000 43 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 63 dialect per 10,000 nae 25 author per 10,000 26 dialect per 10,000 shop 25 author per 10,000 1 dialect per 10,000 line 25 author per 10,000 2 dialect per 10,000 then 25 author per 10,000 1 dialect per 10,000 if 25 author per 10,000 31 dialect per 10,000 aroond 25 author per 10,000 9 dialect per 10,000 nixt 25 author per 10,000 6 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 3 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 1 dialect per 10,000 hame 25 author per 10,000 7 dialect per 10,000 see 17 author per 10,000 22 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 by 17 author per 10,000 8 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 3 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 3 dialect per 10,000 aye 17 author per 10,000 12 dialect per 10,000 body 17 author per 10,000 7 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 1 dialect per 10,000 nicht 17 author per 10,000 3 dialect per 10,000 try 17 author per 10,000 3 dialect per 10,000 faces 17 author per 10,000 1 dialect per 10,000 us 17 author per 10,000 0 dialect per 10,000 came 17 author per 10,000 0 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 5 dialect per 10,000 go 17 author per 10,000 3 dialect per 10,000 blue 17 author per 10,000 2 dialect per 10,000 turned 17 author per 10,000 3 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 4 dialect per 10,000 ticht 17 author per 10,000 0 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 2 dialect per 10,000 wee 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 dee 17 author per 10,000 23 dialect per 10,000 where 17 author per 10,000 0 dialect per 10,000 dum 17 author per 10,000 0 dialect per 10,000 throw 17 author per 10,000 0 dialect per 10,000 obviously 17 author per 10,000 1 dialect per 10,000 men 17 author per 10,000 7 dialect per 10,000 cause 17 author per 10,000 0 dialect per 10,000 pick 17 author per 10,000 1 dialect per 10,000 id 17 author per 10,000 0 dialect per 10,000 lookin 17 author per 10,000 5 dialect per 10,000 flair 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 38 dialect per 10,000 morn 17 author per 10,000 0 dialect per 10,000 wearin 17 author per 10,000 0 dialect per 10,000 skirts 17 author per 10,000 0 dialect per 10,000 folk 17 author per 10,000 1 dialect per 10,000 how 17 author per 10,000 1 dialect per 10,000 erse 17 author per 10,000 0 dialect per 10,000 since 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 9 dialect per 10,000 rain 17 author per 10,000 1 dialect per 10,000 surprised 17 author per 10,000 1 dialect per 10,000 muckle 17 author per 10,000 16 dialect per 10,000 blawn 17 author per 10,000 0 dialect per 10,000 chance 17 author per 10,000 3 dialect per 10,000 every 17 author per 10,000 6 dialect per 10,000 each 8 author per 10,000 1 dialect per 10,000 himself 8 author per 10,000 0 dialect per 10,000 twins 8 author per 10,000 0 dialect per 10,000 somebdy 8 author per 10,000 0 dialect per 10,000 thinking 8 author per 10,000 0 dialect per 10,000 fleein 8 author per 10,000 0 dialect per 10,000 clothes 8 author per 10,000 0 dialect per 10,000 troosers 8 author per 10,000 0 dialect per 10,000 elbae 8 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 0 dialect per 10,000 might 8 author per 10,000 0 dialect per 10,000 bent 8 author per 10,000 0 dialect per 10,000 €™ll 8 author per 10,000 5 dialect per 10,000 laying 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 1 dialect per 10,000 intae 8 author per 10,000 6 dialect per 10,000 concussion 8 author per 10,000 0 dialect per 10,000 pair 8 author per 10,000 2 dialect per 10,000 wits 8 author per 10,000 0 dialect per 10,000 leather 8 author per 10,000 0 dialect per 10,000 terrible 8 author per 10,000 0 dialect per 10,000 stretch 8 author per 10,000 0 dialect per 10,000 haircut 8 author per 10,000 0 dialect per 10,000 torn 8 author per 10,000 0 dialect per 10,000 stopped 8 author per 10,000 0 dialect per 10,000 richt 8 author per 10,000 20 dialect per 10,000 police 8 author per 10,000 0 dialect per 10,000 stawnds 8 author per 10,000 0 dialect per 10,000 part 8 author per 10,000 0 dialect per 10,000 sex 8 author per 10,000 0 dialect per 10,000 renault 8 author per 10,000 0 dialect per 10,000 whos 8 author per 10,000 0 dialect per 10,000 thumb 8 author per 10,000 0 dialect per 10,000 sare 8 author per 10,000 0 dialect per 10,000 am 8 author per 10,000 6 dialect per 10,000 never 8 author per 10,000 12 dialect per 10,000 seventeen 8 author per 10,000 0 dialect per 10,000 stane 8 author per 10,000 1 dialect per 10,000 fake 8 author per 10,000 0 dialect per 10,000 pest 8 author per 10,000 0 dialect per 10,000 taller 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 0 dialect per 10,000 clio 8 author per 10,000 0 dialect per 10,000 tap 8 author per 10,000 3 dialect per 10,000 mind 8 author per 10,000 10 dialect per 10,000 outlinin 8 author per 10,000 0 dialect per 10,000 getting 8 author per 10,000 0 dialect per 10,000 place 8 author per 10,000 10 dialect per 10,000 gave 8 author per 10,000 0 dialect per 10,000
Orkney
the 570 author per 10,000 544 dialect per 10,000 eh 310 author per 10,000 0 dialect per 10,000 a 310 author per 10,000 299 dialect per 10,000 they 218 author per 10,000 36 dialect per 10,000 it 209 author per 10,000 25 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 228 dialect per 10,000 in 193 author per 10,000 138 dialect per 10,000 he 184 author per 10,000 106 dialect per 10,000 like 176 author per 10,000 27 dialect per 10,000 wiz 159 author per 10,000 0 dialect per 10,000 their 126 author per 10,000 8 dialect per 10,000 his 126 author per 10,000 68 dialect per 10,000 that 109 author per 10,000 85 dialect per 10,000 n 101 author per 10,000 0 dialect per 10,000 oot 92 author per 10,000 49 dialect per 10,000 aboot 84 author per 10,000 30 dialect per 10,000 and 84 author per 10,000 200 dialect per 10,000 wi 84 author per 10,000 65 dialect per 10,000 fae 75 author per 10,000 35 dialect per 10,000 hud 75 author per 10,000 0 dialect per 10,000 looked 75 author per 10,000 0 dialect per 10,000 to 67 author per 10,000 7 dialect per 10,000 up 67 author per 10,000 26 dialect per 10,000 there 67 author per 10,000 20 dialect per 10,000 oan 59 author per 10,000 1 dialect per 10,000 got 59 author per 10,000 13 dialect per 10,000 group 59 author per 10,000 0 dialect per 10,000 pals 59 author per 10,000 1 dialect per 10,000 but 59 author per 10,000 36 dialect per 10,000 them 59 author per 10,000 18 dialect per 10,000 €™ 50 author per 10,000 21 dialect per 10,000 fur 50 author per 10,000 44 dialect per 10,000 wit 50 author per 10,000 0 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 57 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 2 dialect per 10,000 €™s 42 author per 10,000 26 dialect per 10,000 lassies 42 author per 10,000 0 dialect per 10,000 club 42 author per 10,000 0 dialect per 10,000 ye 42 author per 10,000 16 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 88 dialect per 10,000 wan 42 author per 10,000 21 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 0 dialect per 10,000 aff 42 author per 10,000 10 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 so 34 author per 10,000 32 dialect per 10,000 way 34 author per 10,000 1 dialect per 10,000 went 34 author per 10,000 0 dialect per 10,000 than 34 author per 10,000 15 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 hair 34 author per 10,000 2 dialect per 10,000 front 34 author per 10,000 1 dialect per 10,000 pal 34 author per 10,000 0 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 5 dialect per 10,000 been 34 author per 10,000 19 dialect per 10,000 when 34 author per 10,000 25 dialect per 10,000 as 34 author per 10,000 55 dialect per 10,000 boys 34 author per 10,000 3 dialect per 10,000 be 34 author per 10,000 45 dialect per 10,000 get 25 author per 10,000 12 dialect per 10,000 doon 25 author per 10,000 25 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 13 dialect per 10,000 no 25 author per 10,000 58 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 9 dialect per 10,000 bunch 25 author per 10,000 0 dialect per 10,000 year 25 author per 10,000 7 dialect per 10,000 afore 25 author per 10,000 12 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 1 dialect per 10,000 wid 25 author per 10,000 21 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 72 dialect per 10,000 nae 25 author per 10,000 4 dialect per 10,000 shop 25 author per 10,000 1 dialect per 10,000 line 25 author per 10,000 1 dialect per 10,000 then 25 author per 10,000 19 dialect per 10,000 if 25 author per 10,000 16 dialect per 10,000 aroond 25 author per 10,000 6 dialect per 10,000 nixt 25 author per 10,000 2 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 1 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 1 dialect per 10,000 hame 25 author per 10,000 1 dialect per 10,000 see 17 author per 10,000 16 dialect per 10,000 two 17 author per 10,000 2 dialect per 10,000 by 17 author per 10,000 14 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 0 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 20 dialect per 10,000 aye 17 author per 10,000 11 dialect per 10,000 body 17 author per 10,000 7 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 1 dialect per 10,000 nicht 17 author per 10,000 0 dialect per 10,000 try 17 author per 10,000 3 dialect per 10,000 faces 17 author per 10,000 1 dialect per 10,000 us 17 author per 10,000 6 dialect per 10,000 came 17 author per 10,000 1 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 1 dialect per 10,000 while 17 author per 10,000 7 dialect per 10,000 go 17 author per 10,000 8 dialect per 10,000 blue 17 author per 10,000 2 dialect per 10,000 turned 17 author per 10,000 3 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 4 dialect per 10,000 ticht 17 author per 10,000 0 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 15 dialect per 10,000 wee 17 author per 10,000 1 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 dee 17 author per 10,000 1 dialect per 10,000 where 17 author per 10,000 0 dialect per 10,000 dum 17 author per 10,000 0 dialect per 10,000 throw 17 author per 10,000 0 dialect per 10,000 obviously 17 author per 10,000 0 dialect per 10,000 men 17 author per 10,000 4 dialect per 10,000 cause 17 author per 10,000 0 dialect per 10,000 pick 17 author per 10,000 1 dialect per 10,000 id 17 author per 10,000 7 dialect per 10,000 lookin 17 author per 10,000 0 dialect per 10,000 flair 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 34 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 wearin 17 author per 10,000 0 dialect per 10,000 skirts 17 author per 10,000 0 dialect per 10,000 folk 17 author per 10,000 11 dialect per 10,000 how 17 author per 10,000 1 dialect per 10,000 erse 17 author per 10,000 0 dialect per 10,000 since 17 author per 10,000 3 dialect per 10,000 even 17 author per 10,000 7 dialect per 10,000 rain 17 author per 10,000 2 dialect per 10,000 surprised 17 author per 10,000 0 dialect per 10,000 muckle 17 author per 10,000 8 dialect per 10,000 blawn 17 author per 10,000 0 dialect per 10,000 chance 17 author per 10,000 3 dialect per 10,000 every 17 author per 10,000 6 dialect per 10,000 each 8 author per 10,000 4 dialect per 10,000 himself 8 author per 10,000 0 dialect per 10,000 twins 8 author per 10,000 0 dialect per 10,000 somebdy 8 author per 10,000 0 dialect per 10,000 thinking 8 author per 10,000 0 dialect per 10,000 fleein 8 author per 10,000 0 dialect per 10,000 clothes 8 author per 10,000 0 dialect per 10,000 troosers 8 author per 10,000 1 dialect per 10,000 elbae 8 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 1 dialect per 10,000 might 8 author per 10,000 6 dialect per 10,000 bent 8 author per 10,000 0 dialect per 10,000 €™ll 8 author per 10,000 3 dialect per 10,000 laying 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 2 dialect per 10,000 intae 8 author per 10,000 17 dialect per 10,000 concussion 8 author per 10,000 0 dialect per 10,000 pair 8 author per 10,000 4 dialect per 10,000 wits 8 author per 10,000 0 dialect per 10,000 leather 8 author per 10,000 0 dialect per 10,000 terrible 8 author per 10,000 1 dialect per 10,000 stretch 8 author per 10,000 0 dialect per 10,000 haircut 8 author per 10,000 0 dialect per 10,000 torn 8 author per 10,000 0 dialect per 10,000 stopped 8 author per 10,000 1 dialect per 10,000 richt 8 author per 10,000 0 dialect per 10,000 police 8 author per 10,000 0 dialect per 10,000 stawnds 8 author per 10,000 0 dialect per 10,000 part 8 author per 10,000 0 dialect per 10,000 sex 8 author per 10,000 0 dialect per 10,000 renault 8 author per 10,000 0 dialect per 10,000 whos 8 author per 10,000 0 dialect per 10,000 thumb 8 author per 10,000 0 dialect per 10,000 sare 8 author per 10,000 0 dialect per 10,000 am 8 author per 10,000 4 dialect per 10,000 never 8 author per 10,000 2 dialect per 10,000 seventeen 8 author per 10,000 0 dialect per 10,000 stane 8 author per 10,000 0 dialect per 10,000 fake 8 author per 10,000 0 dialect per 10,000 pest 8 author per 10,000 0 dialect per 10,000 taller 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 clio 8 author per 10,000 0 dialect per 10,000 tap 8 author per 10,000 2 dialect per 10,000 mind 8 author per 10,000 7 dialect per 10,000 outlinin 8 author per 10,000 0 dialect per 10,000 getting 8 author per 10,000 0 dialect per 10,000 place 8 author per 10,000 3 dialect per 10,000 gave 8 author per 10,000 0 dialect per 10,000
Southern
the 570 author per 10,000 463 dialect per 10,000 eh 310 author per 10,000 1 dialect per 10,000 a 310 author per 10,000 239 dialect per 10,000 they 218 author per 10,000 35 dialect per 10,000 it 209 author per 10,000 60 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 206 dialect per 10,000 in 193 author per 10,000 111 dialect per 10,000 he 184 author per 10,000 15 dialect per 10,000 like 176 author per 10,000 7 dialect per 10,000 wiz 159 author per 10,000 0 dialect per 10,000 their 126 author per 10,000 14 dialect per 10,000 his 126 author per 10,000 38 dialect per 10,000 that 109 author per 10,000 61 dialect per 10,000 n 101 author per 10,000 8 dialect per 10,000 oot 92 author per 10,000 34 dialect per 10,000 aboot 84 author per 10,000 28 dialect per 10,000 and 84 author per 10,000 22 dialect per 10,000 wi 84 author per 10,000 71 dialect per 10,000 fae 75 author per 10,000 6 dialect per 10,000 hud 75 author per 10,000 4 dialect per 10,000 looked 75 author per 10,000 6 dialect per 10,000 to 67 author per 10,000 3 dialect per 10,000 up 67 author per 10,000 41 dialect per 10,000 there 67 author per 10,000 16 dialect per 10,000 oan 59 author per 10,000 41 dialect per 10,000 got 59 author per 10,000 10 dialect per 10,000 group 59 author per 10,000 0 dialect per 10,000 pals 59 author per 10,000 0 dialect per 10,000 but 59 author per 10,000 39 dialect per 10,000 them 59 author per 10,000 4 dialect per 10,000 €™ 50 author per 10,000 11 dialect per 10,000 fur 50 author per 10,000 38 dialect per 10,000 wit 50 author per 10,000 0 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 70 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 1 dialect per 10,000 €™s 42 author per 10,000 32 dialect per 10,000 lassies 42 author per 10,000 1 dialect per 10,000 club 42 author per 10,000 1 dialect per 10,000 ye 42 author per 10,000 31 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 3 dialect per 10,000 - 42 author per 10,000 28 dialect per 10,000 wan 42 author per 10,000 1 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 0 dialect per 10,000 aff 42 author per 10,000 6 dialect per 10,000 aw 42 author per 10,000 33 dialect per 10,000 so 34 author per 10,000 3 dialect per 10,000 way 34 author per 10,000 1 dialect per 10,000 went 34 author per 10,000 13 dialect per 10,000 than 34 author per 10,000 9 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 hair 34 author per 10,000 2 dialect per 10,000 front 34 author per 10,000 1 dialect per 10,000 pal 34 author per 10,000 1 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 2 dialect per 10,000 been 34 author per 10,000 9 dialect per 10,000 when 34 author per 10,000 17 dialect per 10,000 as 34 author per 10,000 52 dialect per 10,000 boys 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 13 dialect per 10,000 get 25 author per 10,000 11 dialect per 10,000 doon 25 author per 10,000 25 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 13 dialect per 10,000 no 25 author per 10,000 28 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 16 dialect per 10,000 bunch 25 author per 10,000 0 dialect per 10,000 year 25 author per 10,000 5 dialect per 10,000 afore 25 author per 10,000 15 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 2 dialect per 10,000 wid 25 author per 10,000 3 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 60 dialect per 10,000 nae 25 author per 10,000 26 dialect per 10,000 shop 25 author per 10,000 0 dialect per 10,000 line 25 author per 10,000 2 dialect per 10,000 then 25 author per 10,000 18 dialect per 10,000 if 25 author per 10,000 16 dialect per 10,000 aroond 25 author per 10,000 1 dialect per 10,000 nixt 25 author per 10,000 1 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 53 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 7 dialect per 10,000 hame 25 author per 10,000 10 dialect per 10,000 see 17 author per 10,000 6 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 by 17 author per 10,000 7 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 2 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 1 dialect per 10,000 aye 17 author per 10,000 11 dialect per 10,000 body 17 author per 10,000 1 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 2 dialect per 10,000 nicht 17 author per 10,000 7 dialect per 10,000 try 17 author per 10,000 3 dialect per 10,000 faces 17 author per 10,000 1 dialect per 10,000 us 17 author per 10,000 7 dialect per 10,000 came 17 author per 10,000 6 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 7 dialect per 10,000 go 17 author per 10,000 1 dialect per 10,000 blue 17 author per 10,000 2 dialect per 10,000 turned 17 author per 10,000 2 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 3 dialect per 10,000 ticht 17 author per 10,000 1 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 2 dialect per 10,000 wee 17 author per 10,000 24 dialect per 10,000 auld 17 author per 10,000 21 dialect per 10,000 dee 17 author per 10,000 1 dialect per 10,000 where 17 author per 10,000 2 dialect per 10,000 dum 17 author per 10,000 0 dialect per 10,000 throw 17 author per 10,000 0 dialect per 10,000 obviously 17 author per 10,000 0 dialect per 10,000 men 17 author per 10,000 4 dialect per 10,000 cause 17 author per 10,000 1 dialect per 10,000 pick 17 author per 10,000 0 dialect per 10,000 id 17 author per 10,000 0 dialect per 10,000 lookin 17 author per 10,000 4 dialect per 10,000 flair 17 author per 10,000 1 dialect per 10,000 we 17 author per 10,000 18 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 wearin 17 author per 10,000 0 dialect per 10,000 skirts 17 author per 10,000 0 dialect per 10,000 folk 17 author per 10,000 4 dialect per 10,000 how 17 author per 10,000 10 dialect per 10,000 erse 17 author per 10,000 0 dialect per 10,000 since 17 author per 10,000 1 dialect per 10,000 even 17 author per 10,000 6 dialect per 10,000 rain 17 author per 10,000 3 dialect per 10,000 surprised 17 author per 10,000 1 dialect per 10,000 muckle 17 author per 10,000 6 dialect per 10,000 blawn 17 author per 10,000 0 dialect per 10,000 chance 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 2 dialect per 10,000 each 8 author per 10,000 3 dialect per 10,000 himself 8 author per 10,000 1 dialect per 10,000 twins 8 author per 10,000 0 dialect per 10,000 somebdy 8 author per 10,000 0 dialect per 10,000 thinking 8 author per 10,000 1 dialect per 10,000 fleein 8 author per 10,000 0 dialect per 10,000 clothes 8 author per 10,000 0 dialect per 10,000 troosers 8 author per 10,000 0 dialect per 10,000 elbae 8 author per 10,000 0 dialect per 10,000 ae 8 author per 10,000 63 dialect per 10,000 might 8 author per 10,000 1 dialect per 10,000 bent 8 author per 10,000 1 dialect per 10,000 €™ll 8 author per 10,000 2 dialect per 10,000 laying 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 79 dialect per 10,000 intae 8 author per 10,000 13 dialect per 10,000 concussion 8 author per 10,000 0 dialect per 10,000 pair 8 author per 10,000 6 dialect per 10,000 wits 8 author per 10,000 0 dialect per 10,000 leather 8 author per 10,000 0 dialect per 10,000 terrible 8 author per 10,000 0 dialect per 10,000 stretch 8 author per 10,000 0 dialect per 10,000 haircut 8 author per 10,000 0 dialect per 10,000 torn 8 author per 10,000 0 dialect per 10,000 stopped 8 author per 10,000 0 dialect per 10,000 richt 8 author per 10,000 17 dialect per 10,000 police 8 author per 10,000 1 dialect per 10,000 stawnds 8 author per 10,000 0 dialect per 10,000 part 8 author per 10,000 0 dialect per 10,000 sex 8 author per 10,000 0 dialect per 10,000 renault 8 author per 10,000 0 dialect per 10,000 whos 8 author per 10,000 0 dialect per 10,000 thumb 8 author per 10,000 0 dialect per 10,000 sare 8 author per 10,000 0 dialect per 10,000 am 8 author per 10,000 2 dialect per 10,000 never 8 author per 10,000 5 dialect per 10,000 seventeen 8 author per 10,000 0 dialect per 10,000 stane 8 author per 10,000 3 dialect per 10,000 fake 8 author per 10,000 0 dialect per 10,000 pest 8 author per 10,000 0 dialect per 10,000 taller 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 clio 8 author per 10,000 0 dialect per 10,000 tap 8 author per 10,000 2 dialect per 10,000 mind 8 author per 10,000 8 dialect per 10,000 outlinin 8 author per 10,000 0 dialect per 10,000 getting 8 author per 10,000 0 dialect per 10,000 place 8 author per 10,000 6 dialect per 10,000 gave 8 author per 10,000 0 dialect per 10,000
Ulster
the 570 author per 10,000 209 dialect per 10,000 eh 310 author per 10,000 0 dialect per 10,000 a 310 author per 10,000 293 dialect per 10,000 they 218 author per 10,000 24 dialect per 10,000 it 209 author per 10,000 78 dialect per 10,000 wurr 209 author per 10,000 0 dialect per 10,000 tae 201 author per 10,000 252 dialect per 10,000 in 193 author per 10,000 102 dialect per 10,000 he 184 author per 10,000 78 dialect per 10,000 like 176 author per 10,000 10 dialect per 10,000 wiz 159 author per 10,000 2 dialect per 10,000 their 126 author per 10,000 6 dialect per 10,000 his 126 author per 10,000 22 dialect per 10,000 that 109 author per 10,000 81 dialect per 10,000 n 101 author per 10,000 0 dialect per 10,000 oot 92 author per 10,000 55 dialect per 10,000 aboot 84 author per 10,000 30 dialect per 10,000 and 84 author per 10,000 6 dialect per 10,000 wi 84 author per 10,000 74 dialect per 10,000 fae 75 author per 10,000 10 dialect per 10,000 hud 75 author per 10,000 0 dialect per 10,000 looked 75 author per 10,000 0 dialect per 10,000 to 67 author per 10,000 2 dialect per 10,000 up 67 author per 10,000 36 dialect per 10,000 there 67 author per 10,000 6 dialect per 10,000 oan 59 author per 10,000 14 dialect per 10,000 got 59 author per 10,000 10 dialect per 10,000 group 59 author per 10,000 0 dialect per 10,000 pals 59 author per 10,000 0 dialect per 10,000 but 59 author per 10,000 49 dialect per 10,000 them 59 author per 10,000 6 dialect per 10,000 €™ 50 author per 10,000 17 dialect per 10,000 fur 50 author per 10,000 51 dialect per 10,000 wit 50 author per 10,000 0 dialect per 10,000 stawndin 50 author per 10,000 0 dialect per 10,000 at 50 author per 10,000 45 dialect per 10,000 awbdy 50 author per 10,000 0 dialect per 10,000 who 50 author per 10,000 1 dialect per 10,000 €™s 42 author per 10,000 14 dialect per 10,000 lassies 42 author per 10,000 0 dialect per 10,000 club 42 author per 10,000 0 dialect per 10,000 ye 42 author per 10,000 86 dialect per 10,000 thurr 42 author per 10,000 0 dialect per 10,000 um 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 22 dialect per 10,000 wan 42 author per 10,000 0 dialect per 10,000 queue 42 author per 10,000 0 dialect per 10,000 er 42 author per 10,000 0 dialect per 10,000 aff 42 author per 10,000 17 dialect per 10,000 aw 42 author per 10,000 2 dialect per 10,000 so 34 author per 10,000 5 dialect per 10,000 way 34 author per 10,000 1 dialect per 10,000 went 34 author per 10,000 14 dialect per 10,000 than 34 author per 10,000 3 dialect per 10,000 could 34 author per 10,000 1 dialect per 10,000 hair 34 author per 10,000 1 dialect per 10,000 front 34 author per 10,000 1 dialect per 10,000 pal 34 author per 10,000 0 dialect per 10,000 ft 34 author per 10,000 0 dialect per 10,000 git 34 author per 10,000 7 dialect per 10,000 been 34 author per 10,000 1 dialect per 10,000 when 34 author per 10,000 2 dialect per 10,000 as 34 author per 10,000 30 dialect per 10,000 boys 34 author per 10,000 3 dialect per 10,000 be 34 author per 10,000 47 dialect per 10,000 get 25 author per 10,000 8 dialect per 10,000 doon 25 author per 10,000 33 dialect per 10,000 dresses 25 author per 10,000 0 dialect per 10,000 here 25 author per 10,000 11 dialect per 10,000 no 25 author per 10,000 25 dialect per 10,000 av 25 author per 10,000 0 dialect per 10,000 were 25 author per 10,000 4 dialect per 10,000 bunch 25 author per 10,000 0 dialect per 10,000 year 25 author per 10,000 2 dialect per 10,000 afore 25 author per 10,000 14 dialect per 10,000 skil 25 author per 10,000 0 dialect per 10,000 just 25 author per 10,000 1 dialect per 10,000 wid 25 author per 10,000 1 dialect per 10,000 tweedle 25 author per 10,000 0 dialect per 10,000 is 25 author per 10,000 22 dialect per 10,000 nae 25 author per 10,000 24 dialect per 10,000 shop 25 author per 10,000 0 dialect per 10,000 line 25 author per 10,000 1 dialect per 10,000 then 25 author per 10,000 19 dialect per 10,000 if 25 author per 10,000 15 dialect per 10,000 aroond 25 author per 10,000 0 dialect per 10,000 nixt 25 author per 10,000 5 dialect per 10,000 nuhin 25 author per 10,000 0 dialect per 10,000 was 25 author per 10,000 10 dialect per 10,000 gon 25 author per 10,000 0 dialect per 10,000 which 25 author per 10,000 0 dialect per 10,000 hame 25 author per 10,000 10 dialect per 10,000 see 17 author per 10,000 18 dialect per 10,000 two 17 author per 10,000 0 dialect per 10,000 by 17 author per 10,000 9 dialect per 10,000 waws 17 author per 10,000 0 dialect per 10,000 tryin 17 author per 10,000 2 dialect per 10,000 bouncer 17 author per 10,000 0 dialect per 10,000 €“ 17 author per 10,000 0 dialect per 10,000 aye 17 author per 10,000 13 dialect per 10,000 body 17 author per 10,000 1 dialect per 10,000 gonny 17 author per 10,000 0 dialect per 10,000 well 17 author per 10,000 3 dialect per 10,000 nicht 17 author per 10,000 7 dialect per 10,000 try 17 author per 10,000 2 dialect per 10,000 faces 17 author per 10,000 0 dialect per 10,000 us 17 author per 10,000 4 dialect per 10,000 came 17 author per 10,000 1 dialect per 10,000 spice 17 author per 10,000 0 dialect per 10,000 gits 17 author per 10,000 0 dialect per 10,000 while 17 author per 10,000 6 dialect per 10,000 go 17 author per 10,000 4 dialect per 10,000 blue 17 author per 10,000 1 dialect per 10,000 turned 17 author per 10,000 1 dialect per 10,000 security 17 author per 10,000 0 dialect per 10,000 sat 17 author per 10,000 0 dialect per 10,000 ticht 17 author per 10,000 1 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 booncers 17 author per 10,000 0 dialect per 10,000 surprising 17 author per 10,000 0 dialect per 10,000 tanned 17 author per 10,000 0 dialect per 10,000 guards 17 author per 10,000 0 dialect per 10,000 right 17 author per 10,000 1 dialect per 10,000 wee 17 author per 10,000 26 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 dee 17 author per 10,000 2 dialect per 10,000 where 17 author per 10,000 0 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