A Corpus of 21st Century Scots Texts

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Campbell, Karen


Total words by this author in corpus - 1,458
Total unique words used by this author in corpus - 573
Ratio of total words to unique words - 2.545
Top ten most common words - a, the, tae, and, it, we, o, €™s, that, aw,

Word frequency analysis

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

Central
a 542 author per 10,000 266 dialect per 10,000 the 364 author per 10,000 565 dialect per 10,000 tae 364 author per 10,000 211 dialect per 10,000 and 281 author per 10,000 94 dialect per 10,000 it 267 author per 10,000 116 dialect per 10,000 we 226 author per 10,000 33 dialect per 10,000 o 185 author per 10,000 185 dialect per 10,000 €™s 165 author per 10,000 32 dialect per 10,000 that 151 author per 10,000 106 dialect per 10,000 aw 117 author per 10,000 39 dialect per 10,000 they 103 author per 10,000 41 dialect per 10,000 want 103 author per 10,000 6 dialect per 10,000 ma 96 author per 10,000 51 dialect per 10,000 or 89 author per 10,000 29 dialect per 10,000 an 89 author per 10,000 225 dialect per 10,000 be 89 author per 10,000 48 dialect per 10,000 no 82 author per 10,000 36 dialect per 10,000 how 69 author per 10,000 6 dialect per 10,000 €™m 69 author per 10,000 6 dialect per 10,000 me 69 author per 10,000 40 dialect per 10,000 in 69 author per 10,000 147 dialect per 10,000 fir 69 author per 10,000 9 dialect per 10,000 but 69 author per 10,000 48 dialect per 10,000 this 69 author per 10,000 41 dialect per 10,000 is 62 author per 10,000 58 dialect per 10,000 so 62 author per 10,000 10 dialect per 10,000 on 62 author per 10,000 55 dialect per 10,000 whit 62 author per 10,000 29 dialect per 10,000 aboot 55 author per 10,000 29 dialect per 10,000 yi 55 author per 10,000 6 dialect per 10,000 wir 55 author per 10,000 4 dialect per 10,000 dae 55 author per 10,000 17 dialect per 10,000 proud 55 author per 10,000 0 dialect per 10,000 as 48 author per 10,000 59 dialect per 10,000 us 48 author per 10,000 15 dialect per 10,000 €™ 48 author per 10,000 39 dialect per 10,000 wi 48 author per 10,000 67 dialect per 10,000 thon 41 author per 10,000 7 dialect per 10,000 aye 41 author per 10,000 16 dialect per 10,000 can 41 author per 10,000 14 dialect per 10,000 when 41 author per 10,000 18 dialect per 10,000 their 41 author per 10,000 19 dialect per 10,000 like 34 author per 10,000 28 dialect per 10,000 i 34 author per 10,000 39 dialect per 10,000 then 34 author per 10,000 17 dialect per 10,000 new 34 author per 10,000 7 dialect per 10,000 you 34 author per 10,000 15 dialect per 10,000 sae 34 author per 10,000 16 dialect per 10,000 will 34 author per 10,000 10 dialect per 10,000 fowk 34 author per 10,000 12 dialect per 10,000 at 34 author per 10,000 59 dialect per 10,000 naw 34 author per 10,000 3 dialect per 10,000 there 34 author per 10,000 23 dialect per 10,000 richt 27 author per 10,000 12 dialect per 10,000 mind 27 author per 10,000 8 dialect per 10,000 its 27 author per 10,000 11 dialect per 10,000 if 27 author per 10,000 17 dialect per 10,000 scotland 27 author per 10,000 9 dialect per 10,000 mak 27 author per 10,000 8 dialect per 10,000 scots 27 author per 10,000 27 dialect per 10,000 need 27 author per 10,000 5 dialect per 10,000 let 27 author per 10,000 4 dialect per 10,000 leid 27 author per 10,000 5 dialect per 10,000 oot 27 author per 10,000 40 dialect per 10,000 think 27 author per 10,000 9 dialect per 10,000 things 27 author per 10,000 5 dialect per 10,000 €“ 27 author per 10,000 5 dialect per 10,000 were 27 author per 10,000 15 dialect per 10,000 gies 27 author per 10,000 2 dialect per 10,000 shoes 27 author per 10,000 0 dialect per 10,000 €™ve 27 author per 10,000 4 dialect per 10,000 intae 21 author per 10,000 18 dialect per 10,000 €™re 21 author per 10,000 3 dialect per 10,000 country 21 author per 10,000 1 dialect per 10,000 place 21 author per 10,000 5 dialect per 10,000 because 21 author per 10,000 3 dialect per 10,000 here 21 author per 10,000 12 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 awa 21 author per 10,000 12 dialect per 10,000 ca 21 author per 10,000 0 dialect per 10,000 noo 21 author per 10,000 14 dialect per 10,000 bein 21 author per 10,000 6 dialect per 10,000 whaur 21 author per 10,000 10 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 40 dialect per 10,000 say 21 author per 10,000 10 dialect per 10,000 year 21 author per 10,000 7 dialect per 10,000 went 21 author per 10,000 7 dialect per 10,000 talk 21 author per 10,000 2 dialect per 10,000 gie 21 author per 10,000 7 dialect per 10,000 them 21 author per 10,000 18 dialect per 10,000 had 21 author per 10,000 22 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 €™d 21 author per 10,000 6 dialect per 10,000 for 21 author per 10,000 48 dialect per 10,000 just 21 author per 10,000 4 dialect per 10,000 wee 21 author per 10,000 29 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 17 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 cin 21 author per 10,000 1 dialect per 10,000 again 21 author per 10,000 9 dialect per 10,000 fae 21 author per 10,000 26 dialect per 10,000 mibbe 21 author per 10,000 2 dialect per 10,000 yir 21 author per 10,000 4 dialect per 10,000 canny 21 author per 10,000 1 dialect per 10,000 tung 21 author per 10,000 2 dialect per 10,000 enough 14 author per 10,000 3 dialect per 10,000 nor 14 author per 10,000 7 dialect per 10,000 firever 14 author per 10,000 0 dialect per 10,000 service 14 author per 10,000 1 dialect per 10,000 blank 14 author per 10,000 0 dialect per 10,000 hail 14 author per 10,000 1 dialect per 10,000 brave 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 8 dialect per 10,000 mair 14 author per 10,000 20 dialect per 10,000 pey 14 author per 10,000 1 dialect per 10,000 of 14 author per 10,000 11 dialect per 10,000 wirds 14 author per 10,000 2 dialect per 10,000 made 14 author per 10,000 7 dialect per 10,000 hae 14 author per 10,000 23 dialect per 10,000 spake 14 author per 10,000 0 dialect per 10,000 point 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 3 dialect per 10,000 public 14 author per 10,000 1 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 whitever 14 author per 10,000 1 dialect per 10,000 being 14 author per 10,000 1 dialect per 10,000 politicans 14 author per 10,000 0 dialect per 10,000 maitter 14 author per 10,000 2 dialect per 10,000 maist 14 author per 10,000 8 dialect per 10,000 takin 14 author per 10,000 2 dialect per 10,000 ony 14 author per 10,000 7 dialect per 10,000 ideas 14 author per 10,000 1 dialect per 10,000 daft 14 author per 10,000 2 dialect per 10,000 wha 14 author per 10,000 8 dialect per 10,000 turn 14 author per 10,000 2 dialect per 10,000 don 14 author per 10,000 1 dialect per 10,000 bane-deep 14 author per 10,000 0 dialect per 10,000 itsel 14 author per 10,000 2 dialect per 10,000 thaim 14 author per 10,000 9 dialect per 10,000 have 14 author per 10,000 2 dialect per 10,000 watter 14 author per 10,000 3 dialect per 10,000 people 14 author per 10,000 2 dialect per 10,000 mither 14 author per 10,000 4 dialect per 10,000 ain 14 author per 10,000 10 dialect per 10,000 yins 14 author per 10,000 1 dialect per 10,000 only 14 author per 10,000 6 dialect per 10,000 by 14 author per 10,000 17 dialect per 10,000 promise 14 author per 10,000 0 dialect per 10,000 says 14 author per 10,000 7 dialect per 10,000 every 14 author per 10,000 2 dialect per 10,000 wrote 14 author per 10,000 1 dialect per 10,000 forcin 14 author per 10,000 0 dialect per 10,000 very 14 author per 10,000 1 dialect per 10,000 somethin 14 author per 10,000 4 dialect per 10,000 comin 14 author per 10,000 3 dialect per 10,000 normal 14 author per 10,000 0 dialect per 10,000 properly 14 author per 10,000 0 dialect per 10,000 isny 14 author per 10,000 0 dialect per 10,000 better 14 author per 10,000 5 dialect per 10,000 dinny 14 author per 10,000 0 dialect per 10,000 singin 14 author per 10,000 1 dialect per 10,000 poetry 14 author per 10,000 1 dialect per 10,000 said 14 author per 10,000 40 dialect per 10,000 slang 14 author per 10,000 0 dialect per 10,000 wis 14 author per 10,000 97 dialect per 10,000 media 14 author per 10,000 1 dialect per 10,000 see 14 author per 10,000 17 dialect per 10,000 picked 14 author per 10,000 1 dialect per 10,000 reform 14 author per 10,000 0 dialect per 10,000 choose 14 author per 10,000 0 dialect per 10,000 stuff 14 author per 10,000 2 dialect per 10,000 believe 14 author per 10,000 2 dialect per 10,000 land 14 author per 10,000 1 dialect per 10,000 bit 14 author per 10,000 18 dialect per 10,000 could 14 author per 10,000 9 dialect per 10,000 parents 7 author per 10,000 1 dialect per 10,000 solar 7 author per 10,000 0 dialect per 10,000 my 7 author per 10,000 6 dialect per 10,000 ae 7 author per 10,000 25 dialect per 10,000 these 7 author per 10,000 4 dialect per 10,000 shouting 7 author per 10,000 0 dialect per 10,000 licht 7 author per 10,000 3 dialect per 10,000 beacons 7 author per 10,000 0 dialect per 10,000 listen 7 author per 10,000 1 dialect per 10,000 choices 7 author per 10,000 0 dialect per 10,000 panels 7 author per 10,000 0 dialect per 10,000 fracking 7 author per 10,000 0 dialect per 10,000 keeping 7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 11 dialect per 10,000 cooncil 7 author per 10,000 1 dialect per 10,000 heids 7 author per 10,000 2 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 0 dialect per 10,000 		Doric
a 542 author per 10,000 315 dialect per 10,000 the 364 author per 10,000 452 dialect per 10,000 tae 364 author per 10,000 171 dialect per 10,000 and 281 author per 10,000 41 dialect per 10,000 it 267 author per 10,000 99 dialect per 10,000 we 226 author per 10,000 33 dialect per 10,000 o 185 author per 10,000 176 dialect per 10,000 €™s 165 author per 10,000 21 dialect per 10,000 that 151 author per 10,000 53 dialect per 10,000 aw 117 author per 10,000 4 dialect per 10,000 they 103 author per 10,000 36 dialect per 10,000 want 103 author per 10,000 2 dialect per 10,000 ma 96 author per 10,000 50 dialect per 10,000 or 89 author per 10,000 26 dialect per 10,000 an 89 author per 10,000 306 dialect per 10,000 be 89 author per 10,000 45 dialect per 10,000 no 82 author per 10,000 7 dialect per 10,000 how 69 author per 10,000 2 dialect per 10,000 €™m 69 author per 10,000 3 dialect per 10,000 me 69 author per 10,000 32 dialect per 10,000 in 69 author per 10,000 130 dialect per 10,000 fir 69 author per 10,000 14 dialect per 10,000 but 69 author per 10,000 25 dialect per 10,000 this 69 author per 10,000 19 dialect per 10,000 is 62 author per 10,000 39 dialect per 10,000 so 62 author per 10,000 17 dialect per 10,000 on 62 author per 10,000 67 dialect per 10,000 whit 62 author per 10,000 2 dialect per 10,000 aboot 55 author per 10,000 33 dialect per 10,000 yi 55 author per 10,000 1 dialect per 10,000 wir 55 author per 10,000 5 dialect per 10,000 dae 55 author per 10,000 5 dialect per 10,000 proud 55 author per 10,000 0 dialect per 10,000 as 48 author per 10,000 52 dialect per 10,000 us 48 author per 10,000 6 dialect per 10,000 €™ 48 author per 10,000 10 dialect per 10,000 wi 48 author per 10,000 77 dialect per 10,000 thon 41 author per 10,000 3 dialect per 10,000 aye 41 author per 10,000 22 dialect per 10,000 can 41 author per 10,000 12 dialect per 10,000 when 41 author per 10,000 3 dialect per 10,000 their 41 author per 10,000 19 dialect per 10,000 like 34 author per 10,000 37 dialect per 10,000 i 34 author per 10,000 68 dialect per 10,000 then 34 author per 10,000 9 dialect per 10,000 new 34 author per 10,000 6 dialect per 10,000 you 34 author per 10,000 17 dialect per 10,000 sae 34 author per 10,000 14 dialect per 10,000 will 34 author per 10,000 9 dialect per 10,000 fowk 34 author per 10,000 13 dialect per 10,000 at 34 author per 10,000 68 dialect per 10,000 naw 34 author per 10,000 1 dialect per 10,000 there 34 author per 10,000 22 dialect per 10,000 richt 27 author per 10,000 19 dialect per 10,000 mind 27 author per 10,000 5 dialect per 10,000 its 27 author per 10,000 8 dialect per 10,000 if 27 author per 10,000 16 dialect per 10,000 scotland 27 author per 10,000 2 dialect per 10,000 mak 27 author per 10,000 9 dialect per 10,000 scots 27 author per 10,000 3 dialect per 10,000 need 27 author per 10,000 5 dialect per 10,000 let 27 author per 10,000 5 dialect per 10,000 leid 27 author per 10,000 1 dialect per 10,000 oot 27 author per 10,000 50 dialect per 10,000 think 27 author per 10,000 11 dialect per 10,000 things 27 author per 10,000 6 dialect per 10,000 €“ 27 author per 10,000 6 dialect per 10,000 were 27 author per 10,000 13 dialect per 10,000 gies 27 author per 10,000 1 dialect per 10,000 shoes 27 author per 10,000 0 dialect per 10,000 €™ve 27 author per 10,000 2 dialect per 10,000 intae 21 author per 10,000 10 dialect per 10,000 €™re 21 author per 10,000 1 dialect per 10,000 country 21 author per 10,000 1 dialect per 10,000 place 21 author per 10,000 5 dialect per 10,000 because 21 author per 10,000 2 dialect per 10,000 here 21 author per 10,000 11 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 awa 21 author per 10,000 21 dialect per 10,000 ca 21 author per 10,000 1 dialect per 10,000 noo 21 author per 10,000 23 dialect per 10,000 bein 21 author per 10,000 5 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 47 dialect per 10,000 say 21 author per 10,000 14 dialect per 10,000 year 21 author per 10,000 5 dialect per 10,000 went 21 author per 10,000 4 dialect per 10,000 talk 21 author per 10,000 1 dialect per 10,000 gie 21 author per 10,000 7 dialect per 10,000 them 21 author per 10,000 23 dialect per 10,000 had 21 author per 10,000 4 dialect per 10,000 oor 21 author per 10,000 8 dialect per 10,000 €™d 21 author per 10,000 10 dialect per 10,000 for 21 author per 10,000 45 dialect per 10,000 just 21 author per 10,000 1 dialect per 10,000 wee 21 author per 10,000 18 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 13 dialect per 10,000 ken 21 author per 10,000 23 dialect per 10,000 cin 21 author per 10,000 0 dialect per 10,000 again 21 author per 10,000 10 dialect per 10,000 fae 21 author per 10,000 30 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 yir 21 author per 10,000 1 dialect per 10,000 canny 21 author per 10,000 1 dialect per 10,000 tung 21 author per 10,000 0 dialect per 10,000 enough 14 author per 10,000 2 dialect per 10,000 nor 14 author per 10,000 6 dialect per 10,000 firever 14 author per 10,000 0 dialect per 10,000 service 14 author per 10,000 1 dialect per 10,000 blank 14 author per 10,000 0 dialect per 10,000 hail 14 author per 10,000 1 dialect per 10,000 brave 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 6 dialect per 10,000 mair 14 author per 10,000 17 dialect per 10,000 pey 14 author per 10,000 1 dialect per 10,000 of 14 author per 10,000 8 dialect per 10,000 wirds 14 author per 10,000 2 dialect per 10,000 made 14 author per 10,000 8 dialect per 10,000 hae 14 author per 10,000 20 dialect per 10,000 spake 14 author per 10,000 0 dialect per 10,000 point 14 author per 10,000 0 dialect per 10,000 €™t 14 author per 10,000 2 dialect per 10,000 public 14 author per 10,000 0 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 whitever 14 author per 10,000 0 dialect per 10,000 being 14 author per 10,000 1 dialect per 10,000 politicans 14 author per 10,000 0 dialect per 10,000 maitter 14 author per 10,000 1 dialect per 10,000 maist 14 author per 10,000 4 dialect per 10,000 takin 14 author per 10,000 1 dialect per 10,000 ony 14 author per 10,000 8 dialect per 10,000 ideas 14 author per 10,000 0 dialect per 10,000 daft 14 author per 10,000 1 dialect per 10,000 wha 14 author per 10,000 1 dialect per 10,000 turn 14 author per 10,000 3 dialect per 10,000 don 14 author per 10,000 0 dialect per 10,000 bane-deep 14 author per 10,000 0 dialect per 10,000 itsel 14 author per 10,000 1 dialect per 10,000 thaim 14 author per 10,000 2 dialect per 10,000 have 14 author per 10,000 1 dialect per 10,000 watter 14 author per 10,000 3 dialect per 10,000 people 14 author per 10,000 1 dialect per 10,000 mither 14 author per 10,000 8 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 yins 14 author per 10,000 0 dialect per 10,000 only 14 author per 10,000 6 dialect per 10,000 by 14 author per 10,000 9 dialect per 10,000 promise 14 author per 10,000 0 dialect per 10,000 says 14 author per 10,000 10 dialect per 10,000 every 14 author per 10,000 1 dialect per 10,000 wrote 14 author per 10,000 0 dialect per 10,000 forcin 14 author per 10,000 0 dialect per 10,000 very 14 author per 10,000 1 dialect per 10,000 somethin 14 author per 10,000 4 dialect per 10,000 comin 14 author per 10,000 4 dialect per 10,000 normal 14 author per 10,000 0 dialect per 10,000 properly 14 author per 10,000 0 dialect per 10,000 isny 14 author per 10,000 0 dialect per 10,000 better 14 author per 10,000 6 dialect per 10,000 dinny 14 author per 10,000 0 dialect per 10,000 singin 14 author per 10,000 1 dialect per 10,000 poetry 14 author per 10,000 0 dialect per 10,000 said 14 author per 10,000 36 dialect per 10,000 slang 14 author per 10,000 0 dialect per 10,000 wis 14 author per 10,000 105 dialect per 10,000 media 14 author per 10,000 0 dialect per 10,000 see 14 author per 10,000 21 dialect per 10,000 picked 14 author per 10,000 0 dialect per 10,000 reform 14 author per 10,000 0 dialect per 10,000 choose 14 author per 10,000 0 dialect per 10,000 stuff 14 author per 10,000 2 dialect per 10,000 believe 14 author per 10,000 2 dialect per 10,000 land 14 author per 10,000 1 dialect per 10,000 bit 14 author per 10,000 43 dialect per 10,000 could 14 author per 10,000 8 dialect per 10,000 parents 7 author per 10,000 0 dialect per 10,000 solar 7 author per 10,000 0 dialect per 10,000 my 7 author per 10,000 11 dialect per 10,000 ae 7 author per 10,000 7 dialect per 10,000 these 7 author per 10,000 2 dialect per 10,000 shouting 7 author per 10,000 0 dialect per 10,000 licht 7 author per 10,000 4 dialect per 10,000 beacons 7 author per 10,000 0 dialect per 10,000 listen 7 author per 10,000 1 dialect per 10,000 choices 7 author per 10,000 0 dialect per 10,000 panels 7 author per 10,000 0 dialect per 10,000 fracking 7 author per 10,000 0 dialect per 10,000 keeping 7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 8 dialect per 10,000 cooncil 7 author per 10,000 1 dialect per 10,000 heids 7 author per 10,000 1 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 0 dialect per 10,000
Shetland
a 542 author per 10,000 280 dialect per 10,000 the 364 author per 10,000 18 dialect per 10,000 tae 364 author per 10,000 86 dialect per 10,000 and 281 author per 10,000 15 dialect per 10,000 it 267 author per 10,000 58 dialect per 10,000 we 226 author per 10,000 44 dialect per 10,000 o 185 author per 10,000 177 dialect per 10,000 €™s 165 author per 10,000 15 dialect per 10,000 that 151 author per 10,000 4 dialect per 10,000 aw 117 author per 10,000 0 dialect per 10,000 they 103 author per 10,000 2 dialect per 10,000 want 103 author per 10,000 5 dialect per 10,000 ma 96 author per 10,000 0 dialect per 10,000 or 89 author per 10,000 32 dialect per 10,000 an 89 author per 10,000 330 dialect per 10,000 be 89 author per 10,000 56 dialect per 10,000 no 82 author per 10,000 35 dialect per 10,000 how 69 author per 10,000 1 dialect per 10,000 €™m 69 author per 10,000 5 dialect per 10,000 me 69 author per 10,000 41 dialect per 10,000 in 69 author per 10,000 105 dialect per 10,000 fir 69 author per 10,000 29 dialect per 10,000 but 69 author per 10,000 29 dialect per 10,000 this 69 author per 10,000 1 dialect per 10,000 is 62 author per 10,000 81 dialect per 10,000 so 62 author per 10,000 26 dialect per 10,000 on 62 author per 10,000 52 dialect per 10,000 whit 62 author per 10,000 39 dialect per 10,000 aboot 55 author per 10,000 41 dialect per 10,000 yi 55 author per 10,000 0 dialect per 10,000 wir 55 author per 10,000 50 dialect per 10,000 dae 55 author per 10,000 2 dialect per 10,000 proud 55 author per 10,000 0 dialect per 10,000 as 48 author per 10,000 79 dialect per 10,000 us 48 author per 10,000 0 dialect per 10,000 €™ 48 author per 10,000 17 dialect per 10,000 wi 48 author per 10,000 95 dialect per 10,000 thon 41 author per 10,000 0 dialect per 10,000 aye 41 author per 10,000 11 dialect per 10,000 can 41 author per 10,000 20 dialect per 10,000 when 41 author per 10,000 5 dialect per 10,000 their 41 author per 10,000 1 dialect per 10,000 like 34 author per 10,000 2 dialect per 10,000 i 34 author per 10,000 143 dialect per 10,000 then 34 author per 10,000 1 dialect per 10,000 new 34 author per 10,000 8 dialect per 10,000 you 34 author per 10,000 51 dialect per 10,000 sae 34 author per 10,000 8 dialect per 10,000 will 34 author per 10,000 9 dialect per 10,000 fowk 34 author per 10,000 0 dialect per 10,000 at 34 author per 10,000 112 dialect per 10,000 naw 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 1 dialect per 10,000 richt 27 author per 10,000 13 dialect per 10,000 mind 27 author per 10,000 10 dialect per 10,000 its 27 author per 10,000 3 dialect per 10,000 if 27 author per 10,000 25 dialect per 10,000 scotland 27 author per 10,000 2 dialect per 10,000 mak 27 author per 10,000 12 dialect per 10,000 scots 27 author per 10,000 5 dialect per 10,000 need 27 author per 10,000 3 dialect per 10,000 let 27 author per 10,000 1 dialect per 10,000 leid 27 author per 10,000 0 dialect per 10,000 oot 27 author per 10,000 42 dialect per 10,000 think 27 author per 10,000 1 dialect per 10,000 things 27 author per 10,000 7 dialect per 10,000 €“ 27 author per 10,000 2 dialect per 10,000 were 27 author per 10,000 3 dialect per 10,000 gies 27 author per 10,000 1 dialect per 10,000 shoes 27 author per 10,000 0 dialect per 10,000 €™ve 27 author per 10,000 1 dialect per 10,000 intae 21 author per 10,000 8 dialect per 10,000 €™re 21 author per 10,000 1 dialect per 10,000 country 21 author per 10,000 0 dialect per 10,000 place 21 author per 10,000 7 dialect per 10,000 because 21 author per 10,000 0 dialect per 10,000 here 21 author per 10,000 11 dialect per 10,000 really 21 author per 10,000 2 dialect per 10,000 awa 21 author per 10,000 13 dialect per 10,000 ca 21 author per 10,000 0 dialect per 10,000 noo 21 author per 10,000 19 dialect per 10,000 bein 21 author per 10,000 7 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 42 dialect per 10,000 say 21 author per 10,000 11 dialect per 10,000 year 21 author per 10,000 7 dialect per 10,000 went 21 author per 10,000 0 dialect per 10,000 talk 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 9 dialect per 10,000 them 21 author per 10,000 1 dialect per 10,000 had 21 author per 10,000 2 dialect per 10,000 oor 21 author per 10,000 1 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 for 21 author per 10,000 35 dialect per 10,000 just 21 author per 10,000 10 dialect per 10,000 wee 21 author per 10,000 0 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 2 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 cin 21 author per 10,000 0 dialect per 10,000 again 21 author per 10,000 5 dialect per 10,000 fae 21 author per 10,000 40 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 yir 21 author per 10,000 1 dialect per 10,000 canny 21 author per 10,000 0 dialect per 10,000 tung 21 author per 10,000 0 dialect per 10,000 enough 14 author per 10,000 0 dialect per 10,000 nor 14 author per 10,000 3 dialect per 10,000 firever 14 author per 10,000 0 dialect per 10,000 service 14 author per 10,000 0 dialect per 10,000 blank 14 author per 10,000 0 dialect per 10,000 hail 14 author per 10,000 0 dialect per 10,000 brave 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 9 dialect per 10,000 mair 14 author per 10,000 19 dialect per 10,000 pey 14 author per 10,000 1 dialect per 10,000 of 14 author per 10,000 11 dialect per 10,000 wirds 14 author per 10,000 11 dialect per 10,000 made 14 author per 10,000 1 dialect per 10,000 hae 14 author per 10,000 25 dialect per 10,000 spake 14 author per 10,000 0 dialect per 10,000 point 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 0 dialect per 10,000 public 14 author per 10,000 1 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 whitever 14 author per 10,000 0 dialect per 10,000 being 14 author per 10,000 0 dialect per 10,000 politicans 14 author per 10,000 0 dialect per 10,000 maitter 14 author per 10,000 1 dialect per 10,000 maist 14 author per 10,000 4 dialect per 10,000 takin 14 author per 10,000 0 dialect per 10,000 ony 14 author per 10,000 13 dialect per 10,000 ideas 14 author per 10,000 0 dialect per 10,000 daft 14 author per 10,000 0 dialect per 10,000 wha 14 author per 10,000 5 dialect per 10,000 turn 14 author per 10,000 3 dialect per 10,000 don 14 author per 10,000 1 dialect per 10,000 bane-deep 14 author per 10,000 0 dialect per 10,000 itsel 14 author per 10,000 1 dialect per 10,000 thaim 14 author per 10,000 0 dialect per 10,000 have 14 author per 10,000 3 dialect per 10,000 watter 14 author per 10,000 3 dialect per 10,000 people 14 author per 10,000 0 dialect per 10,000 mither 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 yins 14 author per 10,000 0 dialect per 10,000 only 14 author per 10,000 5 dialect per 10,000 by 14 author per 10,000 7 dialect per 10,000 promise 14 author per 10,000 0 dialect per 10,000 says 14 author per 10,000 5 dialect per 10,000 every 14 author per 10,000 5 dialect per 10,000 wrote 14 author per 10,000 0 dialect per 10,000 forcin 14 author per 10,000 0 dialect per 10,000 very 14 author per 10,000 7 dialect per 10,000 somethin 14 author per 10,000 4 dialect per 10,000 comin 14 author per 10,000 6 dialect per 10,000 normal 14 author per 10,000 0 dialect per 10,000 properly 14 author per 10,000 0 dialect per 10,000 isny 14 author per 10,000 0 dialect per 10,000 better 14 author per 10,000 7 dialect per 10,000 dinny 14 author per 10,000 0 dialect per 10,000 singin 14 author per 10,000 1 dialect per 10,000 poetry 14 author per 10,000 0 dialect per 10,000 said 14 author per 10,000 61 dialect per 10,000 slang 14 author per 10,000 0 dialect per 10,000 wis 14 author per 10,000 162 dialect per 10,000 media 14 author per 10,000 0 dialect per 10,000 see 14 author per 10,000 20 dialect per 10,000 picked 14 author per 10,000 0 dialect per 10,000 reform 14 author per 10,000 0 dialect per 10,000 choose 14 author per 10,000 0 dialect per 10,000 stuff 14 author per 10,000 1 dialect per 10,000 believe 14 author per 10,000 2 dialect per 10,000 land 14 author per 10,000 0 dialect per 10,000 bit 14 author per 10,000 38 dialect per 10,000 could 14 author per 10,000 12 dialect per 10,000 parents 7 author per 10,000 0 dialect per 10,000 solar 7 author per 10,000 0 dialect per 10,000 my 7 author per 10,000 23 dialect per 10,000 ae 7 author per 10,000 1 dialect per 10,000 these 7 author per 10,000 1 dialect per 10,000 shouting 7 author per 10,000 0 dialect per 10,000 licht 7 author per 10,000 2 dialect per 10,000 beacons 7 author per 10,000 0 dialect per 10,000 listen 7 author per 10,000 2 dialect per 10,000 choices 7 author per 10,000 0 dialect per 10,000 panels 7 author per 10,000 0 dialect per 10,000 fracking 7 author per 10,000 0 dialect per 10,000 keeping 7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 0 dialect per 10,000 cooncil 7 author per 10,000 0 dialect per 10,000 heids 7 author per 10,000 0 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 0 dialect per 10,000 		Orkney
a 542 author per 10,000 298 dialect per 10,000 the 364 author per 10,000 582 dialect per 10,000 tae 364 author per 10,000 223 dialect per 10,000 and 281 author per 10,000 199 dialect per 10,000 it 267 author per 10,000 23 dialect per 10,000 we 226 author per 10,000 29 dialect per 10,000 o 185 author per 10,000 202 dialect per 10,000 €™s 165 author per 10,000 17 dialect per 10,000 that 151 author per 10,000 75 dialect per 10,000 aw 117 author per 10,000 0 dialect per 10,000 they 103 author per 10,000 37 dialect per 10,000 want 103 author per 10,000 5 dialect per 10,000 ma 96 author per 10,000 1 dialect per 10,000 or 89 author per 10,000 30 dialect per 10,000 an 89 author per 10,000 172 dialect per 10,000 be 89 author per 10,000 42 dialect per 10,000 no 82 author per 10,000 58 dialect per 10,000 how 69 author per 10,000 1 dialect per 10,000 €™m 69 author per 10,000 3 dialect per 10,000 me 69 author per 10,000 115 dialect per 10,000 in 69 author per 10,000 146 dialect per 10,000 fir 69 author per 10,000 5 dialect per 10,000 but 69 author per 10,000 28 dialect per 10,000 this 69 author per 10,000 34 dialect per 10,000 is 62 author per 10,000 71 dialect per 10,000 so 62 author per 10,000 30 dialect per 10,000 on 62 author per 10,000 73 dialect per 10,000 whit 62 author per 10,000 29 dialect per 10,000 aboot 55 author per 10,000 26 dialect per 10,000 yi 55 author per 10,000 1 dialect per 10,000 wir 55 author per 10,000 27 dialect per 10,000 dae 55 author per 10,000 10 dialect per 10,000 proud 55 author per 10,000 0 dialect per 10,000 as 48 author per 10,000 48 dialect per 10,000 us 48 author per 10,000 6 dialect per 10,000 €™ 48 author per 10,000 13 dialect per 10,000 wi 48 author per 10,000 46 dialect per 10,000 thon 41 author per 10,000 0 dialect per 10,000 aye 41 author per 10,000 9 dialect per 10,000 can 41 author per 10,000 13 dialect per 10,000 when 41 author per 10,000 23 dialect per 10,000 their 41 author per 10,000 8 dialect per 10,000 like 34 author per 10,000 31 dialect per 10,000 i 34 author per 10,000 158 dialect per 10,000 then 34 author per 10,000 18 dialect per 10,000 new 34 author per 10,000 10 dialect per 10,000 you 34 author per 10,000 35 dialect per 10,000 sae 34 author per 10,000 1 dialect per 10,000 will 34 author per 10,000 12 dialect per 10,000 fowk 34 author per 10,000 0 dialect per 10,000 at 34 author per 10,000 54 dialect per 10,000 naw 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 18 dialect per 10,000 richt 27 author per 10,000 0 dialect per 10,000 mind 27 author per 10,000 9 dialect per 10,000 its 27 author per 10,000 2 dialect per 10,000 if 27 author per 10,000 15 dialect per 10,000 scotland 27 author per 10,000 1 dialect per 10,000 mak 27 author per 10,000 9 dialect per 10,000 scots 27 author per 10,000 6 dialect per 10,000 need 27 author per 10,000 4 dialect per 10,000 let 27 author per 10,000 3 dialect per 10,000 leid 27 author per 10,000 3 dialect per 10,000 oot 27 author per 10,000 50 dialect per 10,000 think 27 author per 10,000 10 dialect per 10,000 things 27 author per 10,000 9 dialect per 10,000 €“ 27 author per 10,000 13 dialect per 10,000 were 27 author per 10,000 6 dialect per 10,000 gies 27 author per 10,000 1 dialect per 10,000 shoes 27 author per 10,000 1 dialect per 10,000 €™ve 27 author per 10,000 1 dialect per 10,000 intae 21 author per 10,000 18 dialect per 10,000 €™re 21 author per 10,000 1 dialect per 10,000 country 21 author per 10,000 1 dialect per 10,000 place 21 author per 10,000 4 dialect per 10,000 because 21 author per 10,000 1 dialect per 10,000 here 21 author per 10,000 12 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 awa 21 author per 10,000 1 dialect per 10,000 ca 21 author per 10,000 0 dialect per 10,000 noo 21 author per 10,000 27 dialect per 10,000 bein 21 author per 10,000 1 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 34 dialect per 10,000 say 21 author per 10,000 10 dialect per 10,000 year 21 author per 10,000 7 dialect per 10,000 went 21 author per 10,000 1 dialect per 10,000 talk 21 author per 10,000 0 dialect per 10,000 gie 21 author per 10,000 2 dialect per 10,000 them 21 author per 10,000 18 dialect per 10,000 had 21 author per 10,000 3 dialect per 10,000 oor 21 author per 10,000 2 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 for 21 author per 10,000 26 dialect per 10,000 just 21 author per 10,000 2 dialect per 10,000 wee 21 author per 10,000 1 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 14 dialect per 10,000 ken 21 author per 10,000 15 dialect per 10,000 cin 21 author per 10,000 1 dialect per 10,000 again 21 author per 10,000 12 dialect per 10,000 fae 21 author per 10,000 39 dialect per 10,000 mibbe 21 author per 10,000 3 dialect per 10,000 yir 21 author per 10,000 11 dialect per 10,000 canny 21 author per 10,000 0 dialect per 10,000 tung 21 author per 10,000 0 dialect per 10,000 enough 14 author per 10,000 2 dialect per 10,000 nor 14 author per 10,000 1 dialect per 10,000 firever 14 author per 10,000 0 dialect per 10,000 service 14 author per 10,000 0 dialect per 10,000 blank 14 author per 10,000 0 dialect per 10,000 hail 14 author per 10,000 0 dialect per 10,000 brave 14 author per 10,000 1 dialect per 10,000 still 14 author per 10,000 12 dialect per 10,000 mair 14 author per 10,000 1 dialect per 10,000 pey 14 author per 10,000 0 dialect per 10,000 of 14 author per 10,000 6 dialect per 10,000 wirds 14 author per 10,000 6 dialect per 10,000 made 14 author per 10,000 3 dialect per 10,000 hae 14 author per 10,000 11 dialect per 10,000 spake 14 author per 10,000 0 dialect per 10,000 point 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 1 dialect per 10,000 public 14 author per 10,000 0 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 whitever 14 author per 10,000 0 dialect per 10,000 being 14 author per 10,000 0 dialect per 10,000 politicans 14 author per 10,000 0 dialect per 10,000 maitter 14 author per 10,000 0 dialect per 10,000 maist 14 author per 10,000 1 dialect per 10,000 takin 14 author per 10,000 0 dialect per 10,000 ony 14 author per 10,000 2 dialect per 10,000 ideas 14 author per 10,000 0 dialect per 10,000 daft 14 author per 10,000 1 dialect per 10,000 wha 14 author per 10,000 4 dialect per 10,000 turn 14 author per 10,000 4 dialect per 10,000 don 14 author per 10,000 1 dialect per 10,000 bane-deep 14 author per 10,000 0 dialect per 10,000 itsel 14 author per 10,000 0 dialect per 10,000 thaim 14 author per 10,000 2 dialect per 10,000 have 14 author per 10,000 2 dialect per 10,000 watter 14 author per 10,000 4 dialect per 10,000 people 14 author per 10,000 0 dialect per 10,000 mither 14 author per 10,000 5 dialect per 10,000 ain 14 author per 10,000 0 dialect per 10,000 yins 14 author per 10,000 0 dialect per 10,000 only 14 author per 10,000 7 dialect per 10,000 by 14 author per 10,000 16 dialect per 10,000 promise 14 author per 10,000 0 dialect per 10,000 says 14 author per 10,000 15 dialect per 10,000 every 14 author per 10,000 4 dialect per 10,000 wrote 14 author per 10,000 1 dialect per 10,000 forcin 14 author per 10,000 0 dialect per 10,000 very 14 author per 10,000 7 dialect per 10,000 somethin 14 author per 10,000 0 dialect per 10,000 comin 14 author per 10,000 1 dialect per 10,000 normal 14 author per 10,000 1 dialect per 10,000 properly 14 author per 10,000 0 dialect per 10,000 isny 14 author per 10,000 0 dialect per 10,000 better 14 author per 10,000 6 dialect per 10,000 dinny 14 author per 10,000 0 dialect per 10,000 singin 14 author per 10,000 0 dialect per 10,000 poetry 14 author per 10,000 0 dialect per 10,000 said 14 author per 10,000 15 dialect per 10,000 slang 14 author per 10,000 0 dialect per 10,000 wis 14 author per 10,000 80 dialect per 10,000 media 14 author per 10,000 0 dialect per 10,000 see 14 author per 10,000 17 dialect per 10,000 picked 14 author per 10,000 1 dialect per 10,000 reform 14 author per 10,000 0 dialect per 10,000 choose 14 author per 10,000 0 dialect per 10,000 stuff 14 author per 10,000 1 dialect per 10,000 believe 14 author per 10,000 1 dialect per 10,000 land 14 author per 10,000 3 dialect per 10,000 bit 14 author per 10,000 48 dialect per 10,000 could 14 author per 10,000 13 dialect per 10,000 parents 7 author per 10,000 1 dialect per 10,000 solar 7 author per 10,000 0 dialect per 10,000 my 7 author per 10,000 5 dialect per 10,000 ae 7 author per 10,000 1 dialect per 10,000 these 7 author per 10,000 2 dialect per 10,000 shouting 7 author per 10,000 0 dialect per 10,000 licht 7 author per 10,000 0 dialect per 10,000 beacons 7 author per 10,000 0 dialect per 10,000 listen 7 author per 10,000 1 dialect per 10,000 choices 7 author per 10,000 0 dialect per 10,000 panels 7 author per 10,000 0 dialect per 10,000 fracking 7 author per 10,000 0 dialect per 10,000 keeping 7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 9 dialect per 10,000 cooncil 7 author per 10,000 0 dialect per 10,000 heids 7 author per 10,000 1 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 1 dialect per 10,000
Southern
a 542 author per 10,000 230 dialect per 10,000 the 364 author per 10,000 449 dialect per 10,000 tae 364 author per 10,000 206 dialect per 10,000 and 281 author per 10,000 33 dialect per 10,000 it 267 author per 10,000 63 dialect per 10,000 we 226 author per 10,000 10 dialect per 10,000 o 185 author per 10,000 200 dialect per 10,000 €™s 165 author per 10,000 34 dialect per 10,000 that 151 author per 10,000 65 dialect per 10,000 aw 117 author per 10,000 32 dialect per 10,000 they 103 author per 10,000 31 dialect per 10,000 want 103 author per 10,000 3 dialect per 10,000 ma 96 author per 10,000 59 dialect per 10,000 or 89 author per 10,000 22 dialect per 10,000 an 89 author per 10,000 289 dialect per 10,000 be 89 author per 10,000 13 dialect per 10,000 no 82 author per 10,000 28 dialect per 10,000 how 69 author per 10,000 10 dialect per 10,000 €™m 69 author per 10,000 5 dialect per 10,000 me 69 author per 10,000 16 dialect per 10,000 in 69 author per 10,000 107 dialect per 10,000 fir 69 author per 10,000 5 dialect per 10,000 but 69 author per 10,000 42 dialect per 10,000 this 69 author per 10,000 35 dialect per 10,000 is 62 author per 10,000 62 dialect per 10,000 so 62 author per 10,000 3 dialect per 10,000 on 62 author per 10,000 55 dialect per 10,000 whit 62 author per 10,000 30 dialect per 10,000 aboot 55 author per 10,000 29 dialect per 10,000 yi 55 author per 10,000 0 dialect per 10,000 wir 55 author per 10,000 1 dialect per 10,000 dae 55 author per 10,000 14 dialect per 10,000 proud 55 author per 10,000 0 dialect per 10,000 as 48 author per 10,000 50 dialect per 10,000 us 48 author per 10,000 5 dialect per 10,000 €™ 48 author per 10,000 14 dialect per 10,000 wi 48 author per 10,000 66 dialect per 10,000 thon 41 author per 10,000 4 dialect per 10,000 aye 41 author per 10,000 11 dialect per 10,000 can 41 author per 10,000 10 dialect per 10,000 when 41 author per 10,000 16 dialect per 10,000 their 41 author per 10,000 14 dialect per 10,000 like 34 author per 10,000 8 dialect per 10,000 i 34 author per 10,000 74 dialect per 10,000 then 34 author per 10,000 17 dialect per 10,000 new 34 author per 10,000 8 dialect per 10,000 you 34 author per 10,000 3 dialect per 10,000 sae 34 author per 10,000 28 dialect per 10,000 will 34 author per 10,000 3 dialect per 10,000 fowk 34 author per 10,000 4 dialect per 10,000 at 34 author per 10,000 69 dialect per 10,000 naw 34 author per 10,000 1 dialect per 10,000 there 34 author per 10,000 16 dialect per 10,000 richt 27 author per 10,000 18 dialect per 10,000 mind 27 author per 10,000 8 dialect per 10,000 its 27 author per 10,000 8 dialect per 10,000 if 27 author per 10,000 17 dialect per 10,000 scotland 27 author per 10,000 3 dialect per 10,000 mak 27 author per 10,000 7 dialect per 10,000 scots 27 author per 10,000 7 dialect per 10,000 need 27 author per 10,000 1 dialect per 10,000 let 27 author per 10,000 3 dialect per 10,000 leid 27 author per 10,000 3 dialect per 10,000 oot 27 author per 10,000 34 dialect per 10,000 think 27 author per 10,000 7 dialect per 10,000 things 27 author per 10,000 2 dialect per 10,000 €“ 27 author per 10,000 5 dialect per 10,000 were 27 author per 10,000 15 dialect per 10,000 gies 27 author per 10,000 1 dialect per 10,000 shoes 27 author per 10,000 1 dialect per 10,000 €™ve 27 author per 10,000 4 dialect per 10,000 intae 21 author per 10,000 10 dialect per 10,000 €™re 21 author per 10,000 1 dialect per 10,000 country 21 author per 10,000 0 dialect per 10,000 place 21 author per 10,000 5 dialect per 10,000 because 21 author per 10,000 2 dialect per 10,000 here 21 author per 10,000 13 dialect per 10,000 really 21 author per 10,000 2 dialect per 10,000 awa 21 author per 10,000 14 dialect per 10,000 ca 21 author per 10,000 7 dialect per 10,000 noo 21 author per 10,000 16 dialect per 10,000 bein 21 author per 10,000 4 dialect per 10,000 whaur 21 author per 10,000 7 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 41 dialect per 10,000 say 21 author per 10,000 17 dialect per 10,000 year 21 author per 10,000 5 dialect per 10,000 went 21 author per 10,000 13 dialect per 10,000 talk 21 author per 10,000 2 dialect per 10,000 gie 21 author per 10,000 14 dialect per 10,000 them 21 author per 10,000 5 dialect per 10,000 had 21 author per 10,000 0 dialect per 10,000 oor 21 author per 10,000 11 dialect per 10,000 €™d 21 author per 10,000 7 dialect per 10,000 for 21 author per 10,000 22 dialect per 10,000 just 21 author per 10,000 3 dialect per 10,000 wee 21 author per 10,000 23 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 9 dialect per 10,000 ken 21 author per 10,000 17 dialect per 10,000 cin 21 author per 10,000 0 dialect per 10,000 again 21 author per 10,000 2 dialect per 10,000 fae 21 author per 10,000 0 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 yir 21 author per 10,000 3 dialect per 10,000 canny 21 author per 10,000 0 dialect per 10,000 tung 21 author per 10,000 3 dialect per 10,000 enough 14 author per 10,000 5 dialect per 10,000 nor 14 author per 10,000 5 dialect per 10,000 firever 14 author per 10,000 0 dialect per 10,000 service 14 author per 10,000 1 dialect per 10,000 blank 14 author per 10,000 0 dialect per 10,000 hail 14 author per 10,000 0 dialect per 10,000 brave 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 7 dialect per 10,000 mair 14 author per 10,000 16 dialect per 10,000 pey 14 author per 10,000 1 dialect per 10,000 of 14 author per 10,000 10 dialect per 10,000 wirds 14 author per 10,000 0 dialect per 10,000 made 14 author per 10,000 6 dialect per 10,000 hae 14 author per 10,000 35 dialect per 10,000 spake 14 author per 10,000 0 dialect per 10,000 point 14 author per 10,000 0 dialect per 10,000 €™t 14 author per 10,000 3 dialect per 10,000 public 14 author per 10,000 0 dialect per 10,000 wurld 14 author per 10,000 0 dialect per 10,000 whitever 14 author per 10,000 0 dialect per 10,000 being 14 author per 10,000 1 dialect per 10,000 politicans 14 author per 10,000 0 dialect per 10,000 maitter 14 author per 10,000 2 dialect per 10,000 maist 14 author per 10,000 4 dialect per 10,000 takin 14 author per 10,000 1 dialect per 10,000 ony 14 author per 10,000 7 dialect per 10,000 ideas 14 author per 10,000 0 dialect per 10,000 daft 14 author per 10,000 1 dialect per 10,000 wha 14 author per 10,000 1 dialect per 10,000 turn 14 author per 10,000 3 dialect per 10,000 don 14 author per 10,000 0 dialect per 10,000 bane-deep 14 author per 10,000 0 dialect per 10,000 itsel 14 author per 10,000 4 dialect per 10,000 thaim 14 author per 10,000 10 dialect per 10,000 have 14 author per 10,000 0 dialect per 10,000 watter 14 author per 10,000 1 dialect per 10,000 people 14 author per 10,000 0 dialect per 10,000 mither 14 author per 10,000 1 dialect per 10,000 ain 14 author per 10,000 9 dialect per 10,000 yins 14 author per 10,000 2 dialect per 10,000 only 14 author per 10,000 7 dialect per 10,000 by 14 author per 10,000 5 dialect per 10,000 promise 14 author per 10,000 0 dialect per 10,000 says 14 author per 10,000 3 dialect per 10,000 every 14 author per 10,000 2 dialect per 10,000 wrote 14 author per 10,000 0 dialect per 10,000 forcin 14 author per 10,000 0 dialect per 10,000 very 14 author per 10,000 0 dialect per 10,000 somethin 14 author per 10,000 2 dialect per 10,000 comin 14 author per 10,000 2 dialect per 10,000 normal 14 author per 10,000 0 dialect per 10,000 properly 14 author per 10,000 0 dialect per 10,000 isny 14 author per 10,000 0 dialect per 10,000 better 14 author per 10,000 4 dialect per 10,000 dinny 14 author per 10,000 0 dialect per 10,000 singin 14 author per 10,000 1 dialect per 10,000 poetry 14 author per 10,000 1 dialect per 10,000 said 14 author per 10,000 65 dialect per 10,000 slang 14 author per 10,000 0 dialect per 10,000 wis 14 author per 10,000 54 dialect per 10,000 media 14 author per 10,000 0 dialect per 10,000 see 14 author per 10,000 5 dialect per 10,000 picked 14 author per 10,000 1 dialect per 10,000 reform 14 author per 10,000 0 dialect per 10,000 choose 14 author per 10,000 0 dialect per 10,000 stuff 14 author per 10,000 1 dialect per 10,000 believe 14 author per 10,000 1 dialect per 10,000 land 14 author per 10,000 2 dialect per 10,000 bit 14 author per 10,000 14 dialect per 10,000 could 14 author per 10,000 13 dialect per 10,000 parents 7 author per 10,000 0 dialect per 10,000 solar 7 author per 10,000 0 dialect per 10,000 my 7 author per 10,000 1 dialect per 10,000 ae 7 author per 10,000 67 dialect per 10,000 these 7 author per 10,000 2 dialect per 10,000 shouting 7 author per 10,000 0 dialect per 10,000 licht 7 author per 10,000 2 dialect per 10,000 beacons 7 author per 10,000 0 dialect per 10,000 listen 7 author per 10,000 1 dialect per 10,000 choices 7 author per 10,000 0 dialect per 10,000 panels 7 author per 10,000 0 dialect per 10,000 fracking 7 author per 10,000 0 dialect per 10,000 keeping 7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 12 dialect per 10,000 cooncil 7 author per 10,000 1 dialect per 10,000 heids 7 author per 10,000 3 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 1 dialect per 10,000 		Ulster
a 542 author per 10,000 287 dialect per 10,000 the 364 author per 10,000 345 dialect per 10,000 tae 364 author per 10,000 253 dialect per 10,000 and 281 author per 10,000 10 dialect per 10,000 it 267 author per 10,000 73 dialect per 10,000 we 226 author per 10,000 18 dialect per 10,000 o 185 author per 10,000 208 dialect per 10,000 €™s 165 author per 10,000 11 dialect per 10,000 that 151 author per 10,000 71 dialect per 10,000 aw 117 author per 10,000 1 dialect per 10,000 they 103 author per 10,000 26 dialect per 10,000 want 103 author per 10,000 4 dialect per 10,000 ma 96 author per 10,000 23 dialect per 10,000 or 89 author per 10,000 33 dialect per 10,000 an 89 author per 10,000 358 dialect per 10,000 be 89 author per 10,000 39 dialect per 10,000 no 82 author per 10,000 22 dialect per 10,000 how 69 author per 10,000 1 dialect per 10,000 €™m 69 author per 10,000 1 dialect per 10,000 me 69 author per 10,000 24 dialect per 10,000 in 69 author per 10,000 121 dialect per 10,000 fir 69 author per 10,000 2 dialect per 10,000 but 69 author per 10,000 41 dialect per 10,000 this 69 author per 10,000 27 dialect per 10,000 is 62 author per 10,000 18 dialect per 10,000 so 62 author per 10,000 5 dialect per 10,000 on 62 author per 10,000 57 dialect per 10,000 whit 62 author per 10,000 1 dialect per 10,000 aboot 55 author per 10,000 27 dialect per 10,000 yi 55 author per 10,000 0 dialect per 10,000 wir 55 author per 10,000 1 dialect per 10,000 dae 55 author per 10,000 23 dialect per 10,000 proud 55 author per 10,000 1 dialect per 10,000 as 48 author per 10,000 31 dialect per 10,000 us 48 author per 10,000 4 dialect per 10,000 €™ 48 author per 10,000 18 dialect per 10,000 wi 48 author per 10,000 63 dialect per 10,000 thon 41 author per 10,000 27 dialect per 10,000 aye 41 author per 10,000 13 dialect per 10,000 can 41 author per 10,000 15 dialect per 10,000 when 41 author per 10,000 2 dialect per 10,000 their 41 author per 10,000 5 dialect per 10,000 like 34 author per 10,000 9 dialect per 10,000 i 34 author per 10,000 16 dialect per 10,000 then 34 author per 10,000 17 dialect per 10,000 new 34 author per 10,000 7 dialect per 10,000 you 34 author per 10,000 5 dialect per 10,000 sae 34 author per 10,000 25 dialect per 10,000 will 34 author per 10,000 2 dialect per 10,000 fowk 34 author per 10,000 21 dialect per 10,000 at 34 author per 10,000 58 dialect per 10,000 naw 34 author per 10,000 12 dialect per 10,000 there 34 author per 10,000 8 dialect per 10,000 richt 27 author per 10,000 13 dialect per 10,000 mind 27 author per 10,000 2 dialect per 10,000 its 27 author per 10,000 8 dialect per 10,000 if 27 author per 10,000 14 dialect per 10,000 scotland 27 author per 10,000 1 dialect per 10,000 mak 27 author per 10,000 10 dialect per 10,000 scots 27 author per 10,000 2 dialect per 10,000 need 27 author per 10,000 4 dialect per 10,000 let 27 author per 10,000 5 dialect per 10,000 leid 27 author per 10,000 20 dialect per 10,000 oot 27 author per 10,000 49 dialect per 10,000 think 27 author per 10,000 7 dialect per 10,000 things 27 author per 10,000 4 dialect per 10,000 €“ 27 author per 10,000 0 dialect per 10,000 were 27 author per 10,000 4 dialect per 10,000 gies 27 author per 10,000 3 dialect per 10,000 shoes 27 author per 10,000 0 dialect per 10,000 €™ve 27 author per 10,000 0 dialect per 10,000 intae 21 author per 10,000 14 dialect per 10,000 €™re 21 author per 10,000 1 dialect per 10,000 country 21 author per 10,000 1 dialect per 10,000 place 21 author per 10,000 7 dialect per 10,000 because 21 author per 10,000 0 dialect per 10,000 here 21 author per 10,000 10 dialect per 10,000 really 21 author per 10,000 1 dialect per 10,000 awa 21 author per 10,000 17 dialect per 10,000 ca 21 author per 10,000 0 dialect per 10,000 noo 21 author per 10,000 22 dialect per 10,000 bein 21 author per 10,000 4 dialect per 10,000 whaur 21 author per 10,000 3 dialect per 10,000 didny 21 author per 10,000 0 dialect per 10,000 up 21 author per 10,000 32 dialect per 10,000 say 21 author per 10,000 10 dialect per 10,000 year 21 author per 10,000 2 dialect per 10,000 went 21 author per 10,000 12 dialect per 10,000 talk 21 author per 10,000 1 dialect per 10,000 gie 21 author per 10,000 16 dialect per 10,000 them 21 author per 10,000 8 dialect per 10,000 had 21 author per 10,000 22 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 €™d 21 author per 10,000 2 dialect per 10,000 for 21 author per 10,000 30 dialect per 10,000 just 21 author per 10,000 1 dialect per 10,000 wee 21 author per 10,000 27 dialect per 10,000 bold 21 author per 10,000 0 dialect per 10,000 are 21 author per 10,000 4 dialect per 10,000 ken 21 author per 10,000 3 dialect per 10,000 cin 21 author per 10,000 0 dialect per 10,000 again 21 author per 10,000 3 dialect per 10,000 fae 21 author per 10,000 13 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 yir 21 author per 10,000 2 dialect per 10,000 canny 21 author per 10,000 1 dialect per 10,000 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7 author per 10,000 0 dialect per 10,000 tax 7 author per 10,000 0 dialect per 10,000 renewables 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 14 dialect per 10,000 cooncil 7 author per 10,000 3 dialect per 10,000 heids 7 author per 10,000 2 dialect per 10,000 backs 7 author per 10,000 0 dialect per 10,000 freeze 7 author per 10,000 0 dialect per 10,000 services 7 author per 10,000 0 dialect per 10,000 radical 7 author per 10,000 0 dialect per 10,000 roof 7 author per 10,000 0 dialect per 10,000