A Corpus of 21st Century Scots Texts

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Philips, Cally


Total words by this author in corpus - 10,516
Total unique words used by this author in corpus - 1,851
Ratio of total words to unique words - 5.681
Top ten most common words - €™, the, ah, an, tae, a, it, wis, that, €™s,

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
€™ 712 author per 10,000 46 dialect per 10,000 the 420 author per 10,000 561 dialect per 10,000 ah 329 author per 10,000 80 dialect per 10,000 an 271 author per 10,000 212 dialect per 10,000 tae 224 author per 10,000 211 dialect per 10,000 a 221 author per 10,000 262 dialect per 10,000 it 188 author per 10,000 118 dialect per 10,000 wis 176 author per 10,000 99 dialect per 10,000 that 171 author per 10,000 108 dialect per 10,000 €™s 171 author per 10,000 36 dialect per 10,000 in 145 author per 10,000 148 dialect per 10,000 we 145 author per 10,000 35 dialect per 10,000 o 143 author per 10,000 189 dialect per 10,000 ma 107 author per 10,000 52 dialect per 10,000 ye 89 author per 10,000 59 dialect per 10,000 they 84 author per 10,000 43 dialect per 10,000 he 70 author per 10,000 92 dialect per 10,000 oor 69 author per 10,000 16 dialect per 10,000 or 68 author per 10,000 29 dialect per 10,000 me 67 author per 10,000 40 dialect per 10,000 is 61 author per 10,000 60 dialect per 10,000 no 60 author per 10,000 35 dialect per 10,000 bit 57 author per 10,000 15 dialect per 10,000 be 54 author per 10,000 49 dialect per 10,000 up 54 author per 10,000 40 dialect per 10,000 as 53 author per 10,000 60 dialect per 10,000 fer 53 author per 10,000 6 dialect per 10,000 whit 52 author per 10,000 29 dialect per 10,000 oot 49 author per 10,000 40 dialect per 10,000 €™d 48 author per 10,000 7 dialect per 10,000 wi 44 author per 10,000 65 dialect per 10,000 there 43 author per 10,000 25 dialect per 10,000 and 43 author per 10,000 107 dialect per 10,000 €™m 41 author per 10,000 7 dialect per 10,000 if 41 author per 10,000 18 dialect per 10,000 oan 39 author per 10,000 18 dialect per 10,000 when 39 author per 10,000 18 dialect per 10,000 nae 38 author per 10,000 22 dialect per 10,000 us 36 author per 10,000 15 dialect per 10,000 wullie 35 author per 10,000 2 dialect per 10,000 hud 34 author per 10,000 6 dialect per 10,000 got 33 author per 10,000 12 dialect per 10,000 like 33 author per 10,000 27 dialect per 10,000 niver 33 author per 10,000 2 dialect per 10,000 aboot 32 author per 10,000 30 dialect per 10,000 noo 30 author per 10,000 13 dialect per 10,000 andy 29 author per 10,000 0 dialect per 10,000 which 29 author per 10,000 5 dialect per 10,000 wur 29 author per 10,000 5 dialect per 10,000 dae 29 author per 10,000 17 dialect per 10,000 but 28 author per 10,000 48 dialect per 10,000 his 28 author per 10,000 56 dialect per 10,000 on 28 author per 10,000 55 dialect per 10,000 even 28 author per 10,000 10 dialect per 10,000 €“ 27 author per 10,000 5 dialect per 10,000 scots 27 author per 10,000 30 dialect per 10,000 she 27 author per 10,000 55 dialect per 10,000 mean 26 author per 10,000 4 dialect per 10,000 git 26 author per 10,000 3 dialect per 10,000 this 25 author per 10,000 43 dialect per 10,000 jist 25 author per 10,000 22 dialect per 10,000 wan 25 author per 10,000 9 dialect per 10,000 ken 25 author per 10,000 14 dialect per 10,000 so 24 author per 10,000 9 dialect per 10,000 wid 24 author per 10,000 9 dialect per 10,000 at 24 author per 10,000 58 dialect per 10,000 hoo 24 author per 10,000 3 dialect per 10,000 their 23 author per 10,000 18 dialect per 10,000 €™ve 23 author per 10,000 4 dialect per 10,000 mair 23 author per 10,000 20 dialect per 10,000 then 23 author per 10,000 16 dialect per 10,000 cus 23 author per 10,000 0 dialect per 10,000 huv 21 author per 10,000 6 dialect per 10,000 library 21 author per 10,000 1 dialect per 10,000 back 21 author per 10,000 20 dialect per 10,000 time 21 author per 10,000 17 dialect per 10,000 theym 21 author per 10,000 0 dialect per 10,000 way 20 author per 10,000 3 dialect per 10,000 fowk 20 author per 10,000 13 dialect per 10,000 n 20 author per 10,000 2 dialect per 10,000 by 20 author per 10,000 16 dialect per 10,000 ain 20 author per 10,000 10 dialect per 10,000 dinnae 19 author per 10,000 6 dialect per 10,000 cannae 19 author per 10,000 5 dialect per 10,000 tell 19 author per 10,000 8 dialect per 10,000 hing 19 author per 10,000 2 dialect per 10,000 sae 18 author per 10,000 16 dialect per 10,000 €™ll 18 author per 10,000 5 dialect per 10,000 cam 18 author per 10,000 8 dialect per 10,000 richt 18 author per 10,000 12 dialect per 10,000 hink 17 author per 10,000 1 dialect per 10,000 here 17 author per 10,000 12 dialect per 10,000 are 17 author per 10,000 18 dialect per 10,000 wee 17 author per 10,000 27 dialect per 10,000 first 17 author per 10,000 9 dialect per 10,000 cud 16 author per 10,000 2 dialect per 10,000 €™re 16 author per 10,000 4 dialect per 10,000 get 16 author per 10,000 15 dialect per 10,000 been 16 author per 10,000 19 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 leid 15 author per 10,000 5 dialect per 10,000 intae 15 author per 10,000 18 dialect per 10,000 didnae 15 author per 10,000 6 dialect per 10,000 cun 15 author per 10,000 0 dialect per 10,000 doon 15 author per 10,000 18 dialect per 10,000 shoes 15 author per 10,000 0 dialect per 10,000 will 14 author per 10,000 11 dialect per 10,000 hum 14 author per 10,000 0 dialect per 10,000 of 14 author per 10,000 10 dialect per 10,000 wha 14 author per 10,000 8 dialect per 10,000 went 14 author per 10,000 7 dialect per 10,000 i 14 author per 10,000 38 dialect per 10,000 big 14 author per 10,000 8 dialect per 10,000 tak 14 author per 10,000 8 dialect per 10,000 aff 14 author per 10,000 14 dialect per 10,000 again 14 author per 10,000 8 dialect per 10,000 gang 14 author per 10,000 4 dialect per 10,000 hare 13 author per 10,000 0 dialect per 10,000 gonnae 13 author per 10,000 3 dialect per 10,000 politics 13 author per 10,000 1 dialect per 10,000 says 13 author per 10,000 7 dialect per 10,000 afore 13 author per 10,000 9 dialect per 10,000 mak 12 author per 10,000 8 dialect per 10,000 aye 12 author per 10,000 15 dialect per 10,000 wisnae 12 author per 10,000 5 dialect per 10,000 want 12 author per 10,000 7 dialect per 10,000 her 12 author per 10,000 45 dialect per 10,000 independence 12 author per 10,000 1 dialect per 10,000 english 12 author per 10,000 6 dialect per 10,000 roon 12 author per 10,000 3 dialect per 10,000 thocht 12 author per 10,000 8 dialect per 10,000 words 12 author per 10,000 3 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 say 12 author per 10,000 10 dialect per 10,000 really 12 author per 10,000 4 dialect per 10,000 mind 11 author per 10,000 7 dialect per 10,000 rab 11 author per 10,000 1 dialect per 10,000 €¦ 11 author per 10,000 1 dialect per 10,000 than 11 author per 10,000 11 dialect per 10,000 did 11 author per 10,000 8 dialect per 10,000 alec 11 author per 10,000 0 dialect per 10,000 point 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 10 dialect per 10,000 land 10 author per 10,000 1 dialect per 10,000 wricht 10 author per 10,000 0 dialect per 10,000 cudnae 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 word 10 author per 10,000 2 dialect per 10,000 frae 10 author per 10,000 15 dialect per 10,000 though 10 author per 10,000 4 dialect per 10,000 hae 10 author per 10,000 22 dialect per 10,000 voice 10 author per 10,000 2 dialect per 10,000 eh 10 author per 10,000 7 dialect per 10,000 bein 10 author per 10,000 7 dialect per 10,000 well 10 author per 10,000 4 dialect per 10,000 same 10 author per 10,000 6 dialect per 10,000 vote 10 author per 10,000 1 dialect per 10,000 juist 10 author per 10,000 7 dialect per 10,000 telt 10 author per 10,000 5 dialect per 10,000 feart 10 author per 10,000 2 dialect per 10,000 awa 10 author per 10,000 11 dialect per 10,000 eck 10 author per 10,000 0 dialect per 10,000 enough 10 author per 10,000 3 dialect per 10,000 yer 10 author per 10,000 18 dialect per 10,000 them 10 author per 10,000 18 dialect per 10,000 pit 10 author per 10,000 9 dialect per 10,000 guid 10 author per 10,000 11 dialect per 10,000 krishna 10 author per 10,000 0 dialect per 10,000 katy 9 author per 10,000 0 dialect per 10,000 mebbe 9 author per 10,000 2 dialect per 10,000 still 9 author per 10,000 8 dialect per 10,000 sure 9 author per 10,000 2 dialect per 10,000 ower 9 author per 10,000 18 dialect per 10,000 used 9 author per 10,000 2 dialect per 10,000 micht 8 author per 10,000 7 dialect per 10,000 na 8 author per 10,000 1 dialect per 10,000 day 8 author per 10,000 14 dialect per 10,000 note 8 author per 10,000 1 dialect per 10,000 fae 8 author per 10,000 27 dialect per 10,000 hings 8 author per 10,000 1 dialect per 10,000 daein 8 author per 10,000 4 dialect per 10,000 €™en 8 author per 10,000 1 dialect per 10,000 let 8 author per 10,000 4 dialect per 10,000 aroon 8 author per 10,000 1 dialect per 10,000 look 8 author per 10,000 5 dialect per 10,000 you 8 author per 10,000 16 dialect per 10,000 freedom 8 author per 10,000 0 dialect per 10,000 fair 8 author per 10,000 3 dialect per 10,000 only 8 author per 10,000 5 dialect per 10,000 speak 8 author per 10,000 2 dialect per 10,000 said 8 author per 10,000 42 dialect per 10,000 took 8 author per 10,000 3 dialect per 10,000 why 8 author per 10,000 2 dialect per 10,000 lik 7 author per 10,000 5 dialect per 10,000 sing 7 author per 10,000 1 dialect per 10,000 debate 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 6 dialect per 10,000 heid 7 author per 10,000 10 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000 		Doric
€™ 712 author per 10,000 9 dialect per 10,000 the 420 author per 10,000 467 dialect per 10,000 ah 329 author per 10,000 42 dialect per 10,000 an 271 author per 10,000 310 dialect per 10,000 tae 224 author per 10,000 165 dialect per 10,000 a 221 author per 10,000 296 dialect per 10,000 it 188 author per 10,000 103 dialect per 10,000 wis 176 author per 10,000 104 dialect per 10,000 that 171 author per 10,000 50 dialect per 10,000 €™s 171 author per 10,000 20 dialect per 10,000 in 145 author per 10,000 135 dialect per 10,000 we 145 author per 10,000 21 dialect per 10,000 o 143 author per 10,000 181 dialect per 10,000 ma 107 author per 10,000 47 dialect per 10,000 ye 89 author per 10,000 94 dialect per 10,000 they 84 author per 10,000 38 dialect per 10,000 he 70 author per 10,000 96 dialect per 10,000 oor 69 author per 10,000 6 dialect per 10,000 or 68 author per 10,000 25 dialect per 10,000 me 67 author per 10,000 30 dialect per 10,000 is 61 author per 10,000 43 dialect per 10,000 no 60 author per 10,000 8 dialect per 10,000 bit 57 author per 10,000 42 dialect per 10,000 be 54 author per 10,000 47 dialect per 10,000 up 54 author per 10,000 45 dialect per 10,000 as 53 author per 10,000 56 dialect per 10,000 fer 53 author per 10,000 3 dialect per 10,000 whit 52 author per 10,000 1 dialect per 10,000 oot 49 author per 10,000 48 dialect per 10,000 €™d 48 author per 10,000 10 dialect per 10,000 wi 44 author per 10,000 82 dialect per 10,000 there 43 author per 10,000 22 dialect per 10,000 and 43 author per 10,000 43 dialect per 10,000 €™m 41 author per 10,000 2 dialect per 10,000 if 41 author per 10,000 18 dialect per 10,000 oan 39 author per 10,000 9 dialect per 10,000 when 39 author per 10,000 3 dialect per 10,000 nae 38 author per 10,000 49 dialect per 10,000 us 36 author per 10,000 6 dialect per 10,000 wullie 35 author per 10,000 1 dialect per 10,000 hud 34 author per 10,000 1 dialect per 10,000 got 33 author per 10,000 14 dialect per 10,000 like 33 author per 10,000 40 dialect per 10,000 niver 33 author per 10,000 4 dialect per 10,000 aboot 32 author per 10,000 33 dialect per 10,000 noo 30 author per 10,000 21 dialect per 10,000 andy 29 author per 10,000 0 dialect per 10,000 which 29 author per 10,000 1 dialect per 10,000 wur 29 author per 10,000 0 dialect per 10,000 dae 29 author per 10,000 5 dialect per 10,000 but 28 author per 10,000 23 dialect per 10,000 his 28 author per 10,000 71 dialect per 10,000 on 28 author per 10,000 67 dialect per 10,000 even 28 author per 10,000 6 dialect per 10,000 €“ 27 author per 10,000 6 dialect per 10,000 scots 27 author per 10,000 3 dialect per 10,000 she 27 author per 10,000 74 dialect per 10,000 mean 26 author per 10,000 2 dialect per 10,000 git 26 author per 10,000 4 dialect per 10,000 this 25 author per 10,000 18 dialect per 10,000 jist 25 author per 10,000 36 dialect per 10,000 wan 25 author per 10,000 4 dialect per 10,000 ken 25 author per 10,000 23 dialect per 10,000 so 24 author per 10,000 14 dialect per 10,000 wid 24 author per 10,000 17 dialect per 10,000 at 24 author per 10,000 70 dialect per 10,000 hoo 24 author per 10,000 1 dialect per 10,000 their 23 author per 10,000 20 dialect per 10,000 €™ve 23 author per 10,000 2 dialect per 10,000 mair 23 author per 10,000 17 dialect per 10,000 then 23 author per 10,000 10 dialect per 10,000 cus 23 author per 10,000 0 dialect per 10,000 huv 21 author per 10,000 0 dialect per 10,000 library 21 author per 10,000 0 dialect per 10,000 back 21 author per 10,000 22 dialect per 10,000 time 21 author per 10,000 20 dialect per 10,000 theym 21 author per 10,000 0 dialect per 10,000 way 20 author per 10,000 2 dialect per 10,000 fowk 20 author per 10,000 13 dialect per 10,000 n 20 author per 10,000 1 dialect per 10,000 by 20 author per 10,000 9 dialect per 10,000 ain 20 author per 10,000 8 dialect per 10,000 dinnae 19 author per 10,000 0 dialect per 10,000 cannae 19 author per 10,000 0 dialect per 10,000 tell 19 author per 10,000 9 dialect per 10,000 hing 19 author per 10,000 1 dialect per 10,000 sae 18 author per 10,000 15 dialect per 10,000 €™ll 18 author per 10,000 4 dialect per 10,000 cam 18 author per 10,000 12 dialect per 10,000 richt 18 author per 10,000 18 dialect per 10,000 hink 17 author per 10,000 0 dialect per 10,000 here 17 author per 10,000 11 dialect per 10,000 are 17 author per 10,000 14 dialect per 10,000 wee 17 author per 10,000 18 dialect per 10,000 first 17 author per 10,000 7 dialect per 10,000 cud 16 author per 10,000 5 dialect per 10,000 €™re 16 author per 10,000 1 dialect per 10,000 get 16 author per 10,000 15 dialect per 10,000 been 16 author per 10,000 13 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 leid 15 author per 10,000 1 dialect per 10,000 intae 15 author per 10,000 10 dialect per 10,000 didnae 15 author per 10,000 1 dialect per 10,000 cun 15 author per 10,000 0 dialect per 10,000 doon 15 author per 10,000 34 dialect per 10,000 shoes 15 author per 10,000 0 dialect per 10,000 will 14 author per 10,000 11 dialect per 10,000 hum 14 author per 10,000 0 dialect per 10,000 of 14 author per 10,000 7 dialect per 10,000 wha 14 author per 10,000 1 dialect per 10,000 went 14 author per 10,000 5 dialect per 10,000 i 14 author per 10,000 73 dialect per 10,000 big 14 author per 10,000 5 dialect per 10,000 tak 14 author per 10,000 9 dialect per 10,000 aff 14 author per 10,000 13 dialect per 10,000 again 14 author per 10,000 11 dialect per 10,000 gang 14 author per 10,000 3 dialect per 10,000 hare 13 author per 10,000 1 dialect per 10,000 gonnae 13 author per 10,000 0 dialect per 10,000 politics 13 author per 10,000 0 dialect per 10,000 says 13 author per 10,000 10 dialect per 10,000 afore 13 author per 10,000 14 dialect per 10,000 mak 12 author per 10,000 8 dialect per 10,000 aye 12 author per 10,000 20 dialect per 10,000 wisnae 12 author per 10,000 2 dialect per 10,000 want 12 author per 10,000 1 dialect per 10,000 her 12 author per 10,000 68 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 english 12 author per 10,000 1 dialect per 10,000 roon 12 author per 10,000 11 dialect per 10,000 thocht 12 author per 10,000 13 dialect per 10,000 words 12 author per 10,000 2 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 see 12 author per 10,000 22 dialect per 10,000 say 12 author per 10,000 15 dialect per 10,000 really 12 author per 10,000 4 dialect per 10,000 mind 11 author per 10,000 5 dialect per 10,000 rab 11 author per 10,000 0 dialect per 10,000 €¦ 11 author per 10,000 1 dialect per 10,000 than 11 author per 10,000 8 dialect per 10,000 did 11 author per 10,000 10 dialect per 10,000 alec 11 author per 10,000 1 dialect per 10,000 point 10 author per 10,000 0 dialect per 10,000 man 10 author per 10,000 6 dialect per 10,000 land 10 author per 10,000 1 dialect per 10,000 wricht 10 author per 10,000 0 dialect per 10,000 cudnae 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 word 10 author per 10,000 1 dialect per 10,000 frae 10 author per 10,000 12 dialect per 10,000 though 10 author per 10,000 3 dialect per 10,000 hae 10 author per 10,000 19 dialect per 10,000 voice 10 author per 10,000 2 dialect per 10,000 eh 10 author per 10,000 1 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 well 10 author per 10,000 2 dialect per 10,000 same 10 author per 10,000 5 dialect per 10,000 vote 10 author per 10,000 0 dialect per 10,000 juist 10 author per 10,000 1 dialect per 10,000 telt 10 author per 10,000 8 dialect per 10,000 feart 10 author per 10,000 1 dialect per 10,000 awa 10 author per 10,000 22 dialect per 10,000 eck 10 author per 10,000 9 dialect per 10,000 enough 10 author per 10,000 2 dialect per 10,000 yer 10 author per 10,000 35 dialect per 10,000 them 10 author per 10,000 25 dialect per 10,000 pit 10 author per 10,000 9 dialect per 10,000 guid 10 author per 10,000 4 dialect per 10,000 krishna 10 author per 10,000 0 dialect per 10,000 katy 9 author per 10,000 0 dialect per 10,000 mebbe 9 author per 10,000 5 dialect per 10,000 still 9 author per 10,000 5 dialect per 10,000 sure 9 author per 10,000 4 dialect per 10,000 ower 9 author per 10,000 28 dialect per 10,000 used 9 author per 10,000 2 dialect per 10,000 micht 8 author per 10,000 6 dialect per 10,000 na 8 author per 10,000 7 dialect per 10,000 day 8 author per 10,000 29 dialect per 10,000 note 8 author per 10,000 1 dialect per 10,000 fae 8 author per 10,000 27 dialect per 10,000 hings 8 author per 10,000 0 dialect per 10,000 daein 8 author per 10,000 1 dialect per 10,000 €™en 8 author per 10,000 0 dialect per 10,000 let 8 author per 10,000 5 dialect per 10,000 aroon 8 author per 10,000 4 dialect per 10,000 look 8 author per 10,000 7 dialect per 10,000 you 8 author per 10,000 18 dialect per 10,000 freedom 8 author per 10,000 0 dialect per 10,000 fair 8 author per 10,000 8 dialect per 10,000 only 8 author per 10,000 6 dialect per 10,000 speak 8 author per 10,000 1 dialect per 10,000 said 8 author per 10,000 39 dialect per 10,000 took 8 author per 10,000 3 dialect per 10,000 why 8 author per 10,000 1 dialect per 10,000 lik 7 author per 10,000 2 dialect per 10,000 sing 7 author per 10,000 1 dialect per 10,000 debate 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 3 dialect per 10,000 heid 7 author per 10,000 12 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000
Shetland
€™ 712 author per 10,000 17 dialect per 10,000 the 420 author per 10,000 18 dialect per 10,000 ah 329 author per 10,000 0 dialect per 10,000 an 271 author per 10,000 330 dialect per 10,000 tae 224 author per 10,000 86 dialect per 10,000 a 221 author per 10,000 280 dialect per 10,000 it 188 author per 10,000 58 dialect per 10,000 wis 176 author per 10,000 161 dialect per 10,000 that 171 author per 10,000 4 dialect per 10,000 €™s 171 author per 10,000 16 dialect per 10,000 in 145 author per 10,000 105 dialect per 10,000 we 145 author per 10,000 43 dialect per 10,000 o 143 author per 10,000 177 dialect per 10,000 ma 107 author per 10,000 0 dialect per 10,000 ye 89 author per 10,000 0 dialect per 10,000 they 84 author per 10,000 2 dialect per 10,000 he 70 author per 10,000 103 dialect per 10,000 oor 69 author per 10,000 1 dialect per 10,000 or 68 author per 10,000 32 dialect per 10,000 me 67 author per 10,000 41 dialect per 10,000 is 61 author per 10,000 81 dialect per 10,000 no 60 author per 10,000 35 dialect per 10,000 bit 57 author per 10,000 38 dialect per 10,000 be 54 author per 10,000 55 dialect per 10,000 up 54 author per 10,000 42 dialect per 10,000 as 53 author per 10,000 79 dialect per 10,000 fer 53 author per 10,000 0 dialect per 10,000 whit 52 author per 10,000 39 dialect per 10,000 oot 49 author per 10,000 42 dialect per 10,000 €™d 48 author per 10,000 2 dialect per 10,000 wi 44 author per 10,000 95 dialect per 10,000 there 43 author per 10,000 1 dialect per 10,000 and 43 author per 10,000 15 dialect per 10,000 €™m 41 author per 10,000 5 dialect per 10,000 if 41 author per 10,000 25 dialect per 10,000 oan 39 author per 10,000 0 dialect per 10,000 when 39 author per 10,000 5 dialect per 10,000 nae 38 author per 10,000 23 dialect per 10,000 us 36 author per 10,000 0 dialect per 10,000 wullie 35 author per 10,000 0 dialect per 10,000 hud 34 author per 10,000 0 dialect per 10,000 got 33 author per 10,000 8 dialect per 10,000 like 33 author per 10,000 2 dialect per 10,000 niver 33 author per 10,000 2 dialect per 10,000 aboot 32 author per 10,000 41 dialect per 10,000 noo 30 author per 10,000 19 dialect per 10,000 andy 29 author per 10,000 1 dialect per 10,000 which 29 author per 10,000 1 dialect per 10,000 wur 29 author per 10,000 0 dialect per 10,000 dae 29 author per 10,000 2 dialect per 10,000 but 28 author per 10,000 28 dialect per 10,000 his 28 author per 10,000 52 dialect per 10,000 on 28 author per 10,000 52 dialect per 10,000 even 28 author per 10,000 10 dialect per 10,000 €“ 27 author per 10,000 2 dialect per 10,000 scots 27 author per 10,000 5 dialect per 10,000 she 27 author per 10,000 7 dialect per 10,000 mean 26 author per 10,000 2 dialect per 10,000 git 26 author per 10,000 4 dialect per 10,000 this 25 author per 10,000 1 dialect per 10,000 jist 25 author per 10,000 0 dialect per 10,000 wan 25 author per 10,000 13 dialect per 10,000 ken 25 author per 10,000 14 dialect per 10,000 so 24 author per 10,000 26 dialect per 10,000 wid 24 author per 10,000 38 dialect per 10,000 at 24 author per 10,000 112 dialect per 10,000 hoo 24 author per 10,000 3 dialect per 10,000 their 23 author per 10,000 1 dialect per 10,000 €™ve 23 author per 10,000 1 dialect per 10,000 mair 23 author per 10,000 19 dialect per 10,000 then 23 author per 10,000 1 dialect per 10,000 cus 23 author per 10,000 0 dialect per 10,000 huv 21 author per 10,000 0 dialect per 10,000 library 21 author per 10,000 0 dialect per 10,000 back 21 author per 10,000 18 dialect per 10,000 time 21 author per 10,000 21 dialect per 10,000 theym 21 author per 10,000 0 dialect per 10,000 way 20 author per 10,000 0 dialect per 10,000 fowk 20 author per 10,000 0 dialect per 10,000 n 20 author per 10,000 1 dialect per 10,000 by 20 author per 10,000 7 dialect per 10,000 ain 20 author per 10,000 7 dialect per 10,000 dinnae 19 author per 10,000 0 dialect per 10,000 cannae 19 author per 10,000 0 dialect per 10,000 tell 19 author per 10,000 8 dialect per 10,000 hing 19 author per 10,000 0 dialect per 10,000 sae 18 author per 10,000 8 dialect per 10,000 €™ll 18 author per 10,000 5 dialect per 10,000 cam 18 author per 10,000 23 dialect per 10,000 richt 18 author per 10,000 13 dialect per 10,000 hink 17 author per 10,000 0 dialect per 10,000 here 17 author per 10,000 11 dialect per 10,000 are 17 author per 10,000 2 dialect per 10,000 wee 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 10 dialect per 10,000 cud 16 author per 10,000 0 dialect per 10,000 €™re 16 author per 10,000 1 dialect per 10,000 get 16 author per 10,000 6 dialect per 10,000 been 16 author per 10,000 16 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 leid 15 author per 10,000 0 dialect per 10,000 intae 15 author per 10,000 8 dialect per 10,000 didnae 15 author per 10,000 0 dialect per 10,000 cun 15 author per 10,000 0 dialect per 10,000 doon 15 author per 10,000 23 dialect per 10,000 shoes 15 author per 10,000 0 dialect per 10,000 will 14 author per 10,000 9 dialect per 10,000 hum 14 author per 10,000 0 dialect per 10,000 of 14 author per 10,000 11 dialect per 10,000 wha 14 author per 10,000 5 dialect per 10,000 went 14 author per 10,000 0 dialect per 10,000 i 14 author per 10,000 143 dialect per 10,000 big 14 author per 10,000 3 dialect per 10,000 tak 14 author per 10,000 12 dialect per 10,000 aff 14 author per 10,000 18 dialect per 10,000 again 14 author per 10,000 5 dialect per 10,000 gang 14 author per 10,000 1 dialect per 10,000 hare 13 author per 10,000 2 dialect per 10,000 gonnae 13 author per 10,000 0 dialect per 10,000 politics 13 author per 10,000 0 dialect per 10,000 says 13 author per 10,000 5 dialect per 10,000 afore 13 author per 10,000 15 dialect per 10,000 mak 12 author per 10,000 12 dialect per 10,000 aye 12 author per 10,000 11 dialect per 10,000 wisnae 12 author per 10,000 0 dialect per 10,000 want 12 author per 10,000 5 dialect per 10,000 her 12 author per 10,000 64 dialect per 10,000 independence 12 author per 10,000 0 dialect per 10,000 english 12 author per 10,000 14 dialect per 10,000 roon 12 author per 10,000 0 dialect per 10,000 thocht 12 author per 10,000 0 dialect per 10,000 words 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 9 dialect per 10,000 see 12 author per 10,000 20 dialect per 10,000 say 12 author per 10,000 11 dialect per 10,000 really 12 author per 10,000 2 dialect per 10,000 mind 11 author per 10,000 10 dialect per 10,000 rab 11 author per 10,000 0 dialect per 10,000 €¦ 11 author per 10,000 1 dialect per 10,000 than 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 alec 11 author per 10,000 1 dialect per 10,000 point 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 17 dialect per 10,000 land 10 author per 10,000 0 dialect per 10,000 wricht 10 author per 10,000 0 dialect per 10,000 cudnae 10 author per 10,000 0 dialect per 10,000 days 10 author per 10,000 3 dialect per 10,000 word 10 author per 10,000 1 dialect per 10,000 frae 10 author per 10,000 0 dialect per 10,000 though 10 author per 10,000 1 dialect per 10,000 hae 10 author per 10,000 25 dialect per 10,000 voice 10 author per 10,000 4 dialect per 10,000 eh 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 7 dialect per 10,000 well 10 author per 10,000 1 dialect per 10,000 same 10 author per 10,000 0 dialect per 10,000 vote 10 author per 10,000 0 dialect per 10,000 juist 10 author per 10,000 8 dialect per 10,000 telt 10 author per 10,000 7 dialect per 10,000 feart 10 author per 10,000 0 dialect per 10,000 awa 10 author per 10,000 13 dialect per 10,000 eck 10 author per 10,000 0 dialect per 10,000 enough 10 author per 10,000 0 dialect per 10,000 yer 10 author per 10,000 0 dialect per 10,000 them 10 author per 10,000 1 dialect per 10,000 pit 10 author per 10,000 6 dialect per 10,000 guid 10 author per 10,000 12 dialect per 10,000 krishna 10 author per 10,000 0 dialect per 10,000 katy 9 author per 10,000 0 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Southern
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per 10,000 said 8 author per 10,000 72 dialect per 10,000 took 8 author per 10,000 4 dialect per 10,000 why 8 author per 10,000 1 dialect per 10,000 lik 7 author per 10,000 18 dialect per 10,000 sing 7 author per 10,000 1 dialect per 10,000 debate 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 1 dialect per 10,000 heid 7 author per 10,000 17 dialect per 10,000 lost 7 author per 10,000 1 dialect per 10,000 		Ulster
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hing 19 author per 10,000 0 dialect per 10,000 sae 18 author per 10,000 26 dialect per 10,000 €™ll 18 author per 10,000 2 dialect per 10,000 cam 18 author per 10,000 0 dialect per 10,000 richt 18 author per 10,000 14 dialect per 10,000 hink 17 author per 10,000 0 dialect per 10,000 here 17 author per 10,000 10 dialect per 10,000 are 17 author per 10,000 4 dialect per 10,000 wee 17 author per 10,000 26 dialect per 10,000 first 17 author per 10,000 1 dialect per 10,000 cud 16 author per 10,000 13 dialect per 10,000 €™re 16 author per 10,000 1 dialect per 10,000 get 16 author per 10,000 8 dialect per 10,000 been 16 author per 10,000 2 dialect per 10,000 some 16 author per 10,000 6 dialect per 10,000 leid 15 author per 10,000 22 dialect per 10,000 intae 15 author per 10,000 13 dialect per 10,000 didnae 15 author per 10,000 5 dialect per 10,000 cun 15 author per 10,000 0 dialect per 10,000 doon 15 author per 10,000 28 dialect per 10,000 shoes 15 author per 10,000 0 dialect per 10,000 will 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12 author per 10,000 0 dialect per 10,000 english 12 author per 10,000 1 dialect per 10,000 roon 12 author per 10,000 11 dialect per 10,000 thocht 12 author per 10,000 11 dialect per 10,000 words 12 author per 10,000 1 dialect per 10,000 gie 12 author per 10,000 17 dialect per 10,000 see 12 author per 10,000 16 dialect per 10,000 say 12 author per 10,000 10 dialect per 10,000 really 12 author per 10,000 1 dialect per 10,000 mind 11 author per 10,000 3 dialect per 10,000 rab 11 author per 10,000 1 dialect per 10,000 €¦ 11 author per 10,000 0 dialect per 10,000 than 11 author per 10,000 3 dialect per 10,000 did 11 author per 10,000 4 dialect per 10,000 alec 11 author per 10,000 0 dialect per 10,000 point 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 17 dialect per 10,000 land 10 author per 10,000 1 dialect per 10,000 wricht 10 author per 10,000 0 dialect per 10,000 cudnae 10 author per 10,000 5 dialect per 10,000 days 10 author per 10,000 5 dialect per 10,000 word 10 author per 10,000 0 dialect per 10,000 frae 10 author per 10,000 33 dialect per 10,000 though 10 author per 10,000 1 dialect per 10,000 hae 10 author per 10,000 55 dialect per 10,000 voice 10 author per 10,000 4 dialect per 10,000 eh 10 author per 10,000 0 dialect per 10,000 bein 10 author per 10,000 4 dialect per 10,000 well 10 author per 10,000 2 dialect per 10,000 same 10 author per 10,000 5 dialect per 10,000 vote 10 author per 10,000 0 dialect per 10,000 juist 10 author per 10,000 1 dialect per 10,000 telt 10 author per 10,000 1 dialect per 10,000 feart 10 author per 10,000 2 dialect per 10,000 awa 10 author per 10,000 16 dialect per 10,000 eck 10 author per 10,000 0 dialect per 10,000 enough 10 author per 10,000 0 dialect per 10,000 yer 10 author per 10,000 38 dialect per 10,000 them 10 author per 10,000 7 dialect per 10,000 pit 10 author per 10,000 11 dialect per 10,000 guid 10 author per 10,000 18 dialect per 10,000 krishna 10 author per 10,000 0 dialect per 10,000 katy 9 author per 10,000 0 dialect per 10,000 mebbe 9 author per 10,000 2 dialect per 10,000 still 9 author per 10,000 4 dialect per 10,000 sure 9 author per 10,000 4 dialect per 10,000 ower 9 author per 10,000 16 dialect per 10,000 used 9 author per 10,000 0 dialect per 10,000 micht 8 author per 10,000 6 dialect per 10,000 na 8 author per 10,000 4 dialect per 10,000 day 8 author per 10,000 15 dialect per 10,000 note 8 author per 10,000 0 dialect per 10,000 fae 8 author per 10,000 14 dialect per 10,000 hings 8 author per 10,000 0 dialect per 10,000 daein 8 author per 10,000 3 dialect per 10,000 €™en 8 author per 10,000 0 dialect per 10,000 let 8 author per 10,000 6 dialect per 10,000 aroon 8 author per 10,000 3 dialect per 10,000 look 8 author per 10,000 1 dialect per 10,000 you 8 author per 10,000 4 dialect per 10,000 freedom 8 author per 10,000 0 dialect per 10,000 fair 8 author per 10,000 2 dialect per 10,000 only 8 author per 10,000 3 dialect per 10,000 speak 8 author per 10,000 0 dialect per 10,000 said 8 author per 10,000 29 dialect per 10,000 took 8 author per 10,000 1 dialect per 10,000 why 8 author per 10,000 4 dialect per 10,000 lik 7 author per 10,000 6 dialect per 10,000 sing 7 author per 10,000 2 dialect per 10,000 debate 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 4 dialect per 10,000 heid 7 author per 10,000 12 dialect per 10,000 lost 7 author per 10,000 0 dialect per 10,000