A Corpus of 21st Century Scots Texts

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Niven, Liz


Total words by this author in corpus - 5,670
Total unique words used by this author in corpus - 2,075
Ratio of total words to unique words - 2.733
Top ten most common words - the, a, an, tae, o, in, wi, ye, is, as,

Word frequency analysis

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

Central
the 543 author per 10,000 565 dialect per 10,000 a 349 author per 10,000 261 dialect per 10,000 an 266 author per 10,000 215 dialect per 10,000 tae 220 author per 10,000 211 dialect per 10,000 o 192 author per 10,000 187 dialect per 10,000 in 139 author per 10,000 148 dialect per 10,000 wi 102 author per 10,000 64 dialect per 10,000 ye 97 author per 10,000 60 dialect per 10,000 is 93 author per 10,000 60 dialect per 10,000 as 93 author per 10,000 60 dialect per 10,000 fir 86 author per 10,000 7 dialect per 10,000 that 78 author per 10,000 108 dialect per 10,000 fae 78 author per 10,000 26 dialect per 10,000 it 74 author per 10,000 119 dialect per 10,000 this 72 author per 10,000 42 dialect per 10,000 or 63 author per 10,000 29 dialect per 10,000 bit 62 author per 10,000 16 dialect per 10,000 ma 60 author per 10,000 51 dialect per 10,000 at 58 author per 10,000 58 dialect per 10,000 be 55 author per 10,000 49 dialect per 10,000 jist 44 author per 10,000 22 dialect per 10,000 her 44 author per 10,000 45 dialect per 10,000 aw 42 author per 10,000 41 dialect per 10,000 they 42 author per 10,000 43 dialect per 10,000 wir 42 author per 10,000 4 dialect per 10,000 yer 42 author per 10,000 18 dialect per 10,000 oan 42 author per 10,000 19 dialect per 10,000 it's 41 author per 10,000 16 dialect per 10,000 nae 39 author per 10,000 22 dialect per 10,000 thir 39 author per 10,000 6 dialect per 10,000 mair 37 author per 10,000 20 dialect per 10,000 we 37 author per 10,000 34 dialect per 10,000 his 35 author per 10,000 56 dialect per 10,000 no 32 author per 10,000 35 dialect per 10,000 hae 32 author per 10,000 21 dialect per 10,000 yin 30 author per 10,000 9 dialect per 10,000 aboot 28 author per 10,000 30 dialect per 10,000 us 28 author per 10,000 15 dialect per 10,000 will 26 author per 10,000 10 dialect per 10,000 a'm 26 author per 10,000 1 dialect per 10,000 doon 26 author per 10,000 18 dialect per 10,000 back 26 author per 10,000 20 dialect per 10,000 on 26 author per 10,000 54 dialect per 10,000 - 25 author per 10,000 27 dialect per 10,000 ain 25 author per 10,000 10 dialect per 10,000 efter 25 author per 10,000 10 dialect per 10,000 whit 25 author per 10,000 29 dialect per 10,000 and 25 author per 10,000 105 dialect per 10,000 oot 25 author per 10,000 40 dialect per 10,000 new 25 author per 10,000 7 dialect per 10,000 intae 25 author per 10,000 18 dialect per 10,000 time 23 author per 10,000 17 dialect per 10,000 kent 23 author per 10,000 6 dialect per 10,000 come 23 author per 10,000 9 dialect per 10,000 wee 23 author per 10,000 28 dialect per 10,000 wis 23 author per 10,000 99 dialect per 10,000 whaur 23 author per 10,000 9 dialect per 10,000 can 23 author per 10,000 15 dialect per 10,000 buik 23 author per 10,000 1 dialect per 10,000 hame 23 author per 10,000 6 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 its 21 author per 10,000 11 dialect per 10,000 like 21 author per 10,000 28 dialect per 10,000 wid 21 author per 10,000 9 dialect per 10,000 dae 21 author per 10,000 17 dialect per 10,000 here 21 author per 10,000 12 dialect per 10,000 mibbe 21 author per 10,000 2 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 them 19 author per 10,000 18 dialect per 10,000 of 19 author per 10,000 10 dialect per 10,000 weel 19 author per 10,000 9 dialect per 10,000 if 19 author per 10,000 18 dialect per 10,000 gin 19 author per 10,000 6 dialect per 10,000 up 19 author per 10,000 40 dialect per 10,000 aye 18 author per 10,000 15 dialect per 10,000 by 18 author per 10,000 16 dialect per 10,000 still 18 author per 10,000 8 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 10 dialect per 10,000 she 16 author per 10,000 57 dialect per 10,000 wumman 16 author per 10,000 2 dialect per 10,000 he 16 author per 10,000 91 dialect per 10,000 me 16 author per 10,000 40 dialect per 10,000 day 16 author per 10,000 13 dialect per 10,000 auld 16 author per 10,000 13 dialect per 10,000 scottish 16 author per 10,000 5 dialect per 10,000 are 14 author per 10,000 17 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 we'll 14 author per 10,000 2 dialect per 10,000 man 14 author per 10,000 10 dialect per 10,000 gan 14 author per 10,000 0 dialect per 10,000 taen 14 author per 10,000 4 dialect per 10,000 sea 14 author per 10,000 2 dialect per 10,000 lik 14 author per 10,000 5 dialect per 10,000 aff 14 author per 10,000 14 dialect per 10,000 lang 14 author per 10,000 9 dialect per 10,000 identitie 14 author per 10,000 0 dialect per 10,000 thon 14 author per 10,000 7 dialect per 10,000 throu 14 author per 10,000 5 dialect per 10,000 fine 12 author per 10,000 3 dialect per 10,000 been 12 author per 10,000 19 dialect per 10,000 scots 12 author per 10,000 29 dialect per 10,000 men 12 author per 10,000 3 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 nor 12 author per 10,000 6 dialect per 10,000 wa 12 author per 10,000 1 dialect per 10,000 dinna 12 author per 10,000 4 dialect per 10,000 again 12 author per 10,000 9 dialect per 10,000 has 12 author per 10,000 5 dialect per 10,000 telt 12 author per 10,000 5 dialect per 10,000 twa 12 author per 10,000 9 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 ' 11 author per 10,000 51 dialect per 10,000 get 11 author per 10,000 15 dialect per 10,000 ya 11 author per 10,000 2 dialect per 10,000 young 11 author per 10,000 3 dialect per 10,000 oor 11 author per 10,000 16 dialect per 10,000 scotland 11 author per 10,000 10 dialect per 10,000 want 11 author per 10,000 6 dialect per 10,000 year 11 author per 10,000 7 dialect per 10,000 she's 11 author per 10,000 4 dialect per 10,000 mannie 11 author per 10,000 1 dialect per 10,000 folk 11 author per 10,000 4 dialect per 10,000 atween 11 author per 10,000 3 dialect per 10,000 we're 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 then 11 author per 10,000 17 dialect per 10,000 cam 11 author per 10,000 8 dialect per 10,000 these 11 author per 10,000 4 dialect per 10,000 fowk 9 author per 10,000 13 dialect per 10,000 kintra 9 author per 10,000 1 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 een 9 author per 10,000 5 dialect per 10,000 gey 9 author per 10,000 5 dialect per 10,000 him 9 author per 10,000 29 dialect per 10,000 when 9 author per 10,000 18 dialect per 10,000 a'll 9 author per 10,000 1 dialect per 10,000 bairn 9 author per 10,000 2 dialect per 10,000 life 9 author per 10,000 6 dialect per 10,000 sisters 9 author per 10,000 0 dialect per 10,000 night 9 author per 10,000 2 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 so 9 author per 10,000 10 dialect per 10,000 there 9 author per 10,000 24 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 5 dialect per 10,000 even 9 author per 10,000 10 dialect per 10,000 borders 9 author per 10,000 0 dialect per 10,000 noo 9 author per 10,000 13 dialect per 10,000 mak 9 author per 10,000 8 dialect per 10,000 yince 9 author per 10,000 1 dialect per 10,000 bein 9 author per 10,000 7 dialect per 10,000 deid 9 author per 10,000 3 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 across 9 author per 10,000 2 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 kens 9 author per 10,000 1 dialect per 10,000 monie 9 author per 10,000 3 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 13 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 3 dialect per 10,000 let 9 author per 10,000 4 dialect per 10,000 onie 9 author per 10,000 3 dialect per 10,000 sons 9 author per 10,000 0 dialect per 10,000 kinna 9 author per 10,000 1 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 17 dialect per 10,000 ye'll 9 author per 10,000 2 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 drink 9 author per 10,000 2 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 1 dialect per 10,000 a've 7 author per 10,000 0 dialect per 10,000 skin 7 author per 10,000 1 dialect per 10,000 unner 7 author per 10,000 2 dialect per 10,000 was 7 author per 10,000 7 dialect per 10,000 mind 7 author per 10,000 7 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 16 dialect per 10,000 turn 7 author per 10,000 2 dialect per 10,000 afore 7 author per 10,000 9 dialect per 10,000 whither 7 author per 10,000 1 dialect per 10,000 white 7 author per 10,000 3 dialect per 10,000 licht 7 author per 10,000 3 dialect per 10,000 till 7 author per 10,000 3 dialect per 10,000 yins 7 author per 10,000 1 dialect per 10,000 sky 7 author per 10,000 1 dialect per 10,000 names 7 author per 10,000 1 dialect per 10,000 near 7 author per 10,000 3 dialect per 10,000 talkin 7 author per 10,000 2 dialect per 10,000 lass 7 author per 10,000 1 dialect per 10,000 think 7 author per 10,000 9 dialect per 10,000 tells 7 author per 10,000 1 dialect per 10,000 name 7 author per 10,000 4 dialect per 10,000 ilka 7 author per 10,000 4 dialect per 10,000 sure 7 author per 10,000 2 dialect per 10,000
Doric
the 543 author per 10,000 469 dialect per 10,000 a 349 author per 10,000 300 dialect per 10,000 an 266 author per 10,000 308 dialect per 10,000 tae 220 author per 10,000 164 dialect per 10,000 o 192 author per 10,000 181 dialect per 10,000 in 139 author per 10,000 135 dialect per 10,000 wi 102 author per 10,000 82 dialect per 10,000 ye 97 author per 10,000 94 dialect per 10,000 is 93 author per 10,000 42 dialect per 10,000 as 93 author per 10,000 55 dialect per 10,000 fir 86 author per 10,000 16 dialect per 10,000 that 78 author per 10,000 51 dialect per 10,000 fae 78 author per 10,000 27 dialect per 10,000 it 74 author per 10,000 104 dialect per 10,000 this 72 author per 10,000 18 dialect per 10,000 or 63 author per 10,000 25 dialect per 10,000 bit 62 author per 10,000 41 dialect per 10,000 ma 60 author per 10,000 46 dialect per 10,000 at 58 author per 10,000 70 dialect per 10,000 be 55 author per 10,000 46 dialect per 10,000 jist 44 author per 10,000 35 dialect per 10,000 her 44 author per 10,000 69 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 38 dialect per 10,000 wir 42 author per 10,000 5 dialect per 10,000 yer 42 author per 10,000 34 dialect per 10,000 oan 42 author per 10,000 9 dialect per 10,000 it's 41 author per 10,000 21 dialect per 10,000 nae 39 author per 10,000 50 dialect per 10,000 thir 39 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 18 dialect per 10,000 we 37 author per 10,000 21 dialect per 10,000 his 35 author per 10,000 72 dialect per 10,000 no 32 author per 10,000 8 dialect per 10,000 hae 32 author per 10,000 20 dialect per 10,000 yin 30 author per 10,000 1 dialect per 10,000 aboot 28 author per 10,000 33 dialect per 10,000 us 28 author per 10,000 6 dialect per 10,000 will 26 author per 10,000 10 dialect per 10,000 a'm 26 author per 10,000 2 dialect per 10,000 doon 26 author per 10,000 34 dialect per 10,000 back 26 author per 10,000 22 dialect per 10,000 on 26 author per 10,000 67 dialect per 10,000 - 25 author per 10,000 25 dialect per 10,000 ain 25 author per 10,000 8 dialect per 10,000 efter 25 author per 10,000 11 dialect per 10,000 whit 25 author per 10,000 2 dialect per 10,000 and 25 author per 10,000 43 dialect per 10,000 oot 25 author per 10,000 48 dialect per 10,000 new 25 author per 10,000 6 dialect per 10,000 intae 25 author per 10,000 10 dialect per 10,000 time 23 author per 10,000 20 dialect per 10,000 kent 23 author per 10,000 8 dialect per 10,000 come 23 author per 10,000 14 dialect per 10,000 wee 23 author per 10,000 19 dialect per 10,000 wis 23 author per 10,000 104 dialect per 10,000 whaur 23 author per 10,000 0 dialect per 10,000 can 23 author per 10,000 13 dialect per 10,000 buik 23 author per 10,000 1 dialect per 10,000 hame 23 author per 10,000 12 dialect per 10,000 ower 21 author per 10,000 28 dialect per 10,000 its 21 author per 10,000 8 dialect per 10,000 like 21 author per 10,000 40 dialect per 10,000 wid 21 author per 10,000 17 dialect per 10,000 dae 21 author per 10,000 5 dialect per 10,000 here 21 author per 10,000 11 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 ken 21 author per 10,000 23 dialect per 10,000 them 19 author per 10,000 25 dialect per 10,000 of 19 author per 10,000 8 dialect per 10,000 weel 19 author per 10,000 19 dialect per 10,000 if 19 author per 10,000 17 dialect per 10,000 gin 19 author per 10,000 8 dialect per 10,000 up 19 author per 10,000 45 dialect per 10,000 aye 18 author per 10,000 20 dialect per 10,000 by 18 author per 10,000 9 dialect per 10,000 still 18 author per 10,000 5 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 10 dialect per 10,000 she 16 author per 10,000 73 dialect per 10,000 wumman 16 author per 10,000 1 dialect per 10,000 he 16 author per 10,000 97 dialect per 10,000 me 16 author per 10,000 31 dialect per 10,000 day 16 author per 10,000 28 dialect per 10,000 auld 16 author per 10,000 8 dialect per 10,000 scottish 16 author per 10,000 1 dialect per 10,000 are 14 author per 10,000 14 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 we'll 14 author per 10,000 1 dialect per 10,000 man 14 author per 10,000 7 dialect per 10,000 gan 14 author per 10,000 4 dialect per 10,000 taen 14 author per 10,000 1 dialect per 10,000 sea 14 author per 10,000 3 dialect per 10,000 lik 14 author per 10,000 3 dialect per 10,000 aff 14 author per 10,000 13 dialect per 10,000 lang 14 author per 10,000 14 dialect per 10,000 identitie 14 author per 10,000 0 dialect per 10,000 thon 14 author per 10,000 4 dialect per 10,000 throu 14 author per 10,000 1 dialect per 10,000 fine 12 author per 10,000 12 dialect per 10,000 been 12 author per 10,000 13 dialect per 10,000 scots 12 author per 10,000 3 dialect per 10,000 men 12 author per 10,000 2 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 nor 12 author per 10,000 6 dialect per 10,000 wa 12 author per 10,000 0 dialect per 10,000 dinna 12 author per 10,000 18 dialect per 10,000 again 12 author per 10,000 11 dialect per 10,000 has 12 author per 10,000 2 dialect per 10,000 telt 12 author per 10,000 8 dialect per 10,000 twa 12 author per 10,000 18 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 ' 11 author per 10,000 15 dialect per 10,000 get 11 author per 10,000 15 dialect per 10,000 ya 11 author per 10,000 0 dialect per 10,000 young 11 author per 10,000 3 dialect per 10,000 oor 11 author per 10,000 6 dialect per 10,000 scotland 11 author per 10,000 2 dialect per 10,000 want 11 author per 10,000 1 dialect per 10,000 year 11 author per 10,000 5 dialect per 10,000 she's 11 author per 10,000 4 dialect per 10,000 mannie 11 author per 10,000 3 dialect per 10,000 folk 11 author per 10,000 4 dialect per 10,000 atween 11 author per 10,000 3 dialect per 10,000 we're 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 then 11 author per 10,000 9 dialect per 10,000 cam 11 author per 10,000 12 dialect per 10,000 these 11 author per 10,000 2 dialect per 10,000 fowk 9 author per 10,000 13 dialect per 10,000 kintra 9 author per 10,000 1 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 een 9 author per 10,000 19 dialect per 10,000 gey 9 author per 10,000 3 dialect per 10,000 him 9 author per 10,000 33 dialect per 10,000 when 9 author per 10,000 3 dialect per 10,000 a'll 9 author per 10,000 2 dialect per 10,000 bairn 9 author per 10,000 3 dialect per 10,000 life 9 author per 10,000 6 dialect per 10,000 sisters 9 author per 10,000 0 dialect per 10,000 night 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 15 dialect per 10,000 so 9 author per 10,000 14 dialect per 10,000 there 9 author per 10,000 23 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 1 dialect per 10,000 even 9 author per 10,000 6 dialect per 10,000 borders 9 author per 10,000 0 dialect per 10,000 noo 9 author per 10,000 21 dialect per 10,000 mak 9 author per 10,000 9 dialect per 10,000 yince 9 author per 10,000 0 dialect per 10,000 bein 9 author per 10,000 5 dialect per 10,000 deid 9 author per 10,000 3 dialect per 10,000 watter 9 author per 10,000 4 dialect per 10,000 across 9 author per 10,000 2 dialect per 10,000 nane 9 author per 10,000 1 dialect per 10,000 kens 9 author per 10,000 2 dialect per 10,000 monie 9 author per 10,000 0 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 13 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 2 dialect per 10,000 let 9 author per 10,000 5 dialect per 10,000 onie 9 author per 10,000 0 dialect per 10,000 sons 9 author per 10,000 0 dialect per 10,000 kinna 9 author per 10,000 2 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 22 dialect per 10,000 ye'll 9 author per 10,000 6 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 drink 9 author per 10,000 2 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 0 dialect per 10,000 a've 7 author per 10,000 1 dialect per 10,000 skin 7 author per 10,000 1 dialect per 10,000 unner 7 author per 10,000 0 dialect per 10,000 was 7 author per 10,000 8 dialect per 10,000 mind 7 author per 10,000 5 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 18 dialect per 10,000 turn 7 author per 10,000 2 dialect per 10,000 afore 7 author per 10,000 14 dialect per 10,000 whither 7 author per 10,000 0 dialect per 10,000 white 7 author per 10,000 1 dialect per 10,000 licht 7 author per 10,000 3 dialect per 10,000 till 7 author per 10,000 32 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 sky 7 author per 10,000 2 dialect per 10,000 names 7 author per 10,000 1 dialect per 10,000 near 7 author per 10,000 6 dialect per 10,000 talkin 7 author per 10,000 0 dialect per 10,000 lass 7 author per 10,000 0 dialect per 10,000 think 7 author per 10,000 12 dialect per 10,000 tells 7 author per 10,000 1 dialect per 10,000 name 7 author per 10,000 4 dialect per 10,000 ilka 7 author per 10,000 2 dialect per 10,000 sure 7 author per 10,000 4 dialect per 10,000
Shetland
the 543 author per 10,000 18 dialect per 10,000 a 349 author per 10,000 280 dialect per 10,000 an 266 author per 10,000 330 dialect per 10,000 tae 220 author per 10,000 86 dialect per 10,000 o 192 author per 10,000 177 dialect per 10,000 in 139 author per 10,000 105 dialect per 10,000 wi 102 author per 10,000 95 dialect per 10,000 ye 97 author per 10,000 0 dialect per 10,000 is 93 author per 10,000 81 dialect per 10,000 as 93 author per 10,000 79 dialect per 10,000 fir 86 author per 10,000 29 dialect per 10,000 that 78 author per 10,000 4 dialect per 10,000 fae 78 author per 10,000 40 dialect per 10,000 it 74 author per 10,000 58 dialect per 10,000 this 72 author per 10,000 1 dialect per 10,000 or 63 author per 10,000 32 dialect per 10,000 bit 62 author per 10,000 38 dialect per 10,000 ma 60 author per 10,000 0 dialect per 10,000 at 58 author per 10,000 112 dialect per 10,000 be 55 author per 10,000 55 dialect per 10,000 jist 44 author per 10,000 0 dialect per 10,000 her 44 author per 10,000 64 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 they 42 author per 10,000 2 dialect per 10,000 wir 42 author per 10,000 49 dialect per 10,000 yer 42 author per 10,000 0 dialect per 10,000 oan 42 author per 10,000 0 dialect per 10,000 it's 41 author per 10,000 8 dialect per 10,000 nae 39 author per 10,000 23 dialect per 10,000 thir 39 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 19 dialect per 10,000 we 37 author per 10,000 43 dialect per 10,000 his 35 author per 10,000 52 dialect per 10,000 no 32 author per 10,000 35 dialect per 10,000 hae 32 author per 10,000 25 dialect per 10,000 yin 30 author per 10,000 0 dialect per 10,000 aboot 28 author per 10,000 41 dialect per 10,000 us 28 author per 10,000 0 dialect per 10,000 will 26 author per 10,000 9 dialect per 10,000 a'm 26 author per 10,000 11 dialect per 10,000 doon 26 author per 10,000 23 dialect per 10,000 back 26 author per 10,000 18 dialect per 10,000 on 26 author per 10,000 52 dialect per 10,000 - 25 author per 10,000 53 dialect per 10,000 ain 25 author per 10,000 7 dialect per 10,000 efter 25 author per 10,000 9 dialect per 10,000 whit 25 author per 10,000 39 dialect per 10,000 and 25 author per 10,000 15 dialect per 10,000 oot 25 author per 10,000 42 dialect per 10,000 new 25 author per 10,000 8 dialect per 10,000 intae 25 author per 10,000 8 dialect per 10,000 time 23 author per 10,000 21 dialect per 10,000 kent 23 author per 10,000 10 dialect per 10,000 come 23 author per 10,000 19 dialect per 10,000 wee 23 author per 10,000 0 dialect per 10,000 wis 23 author per 10,000 161 dialect per 10,000 whaur 23 author per 10,000 0 dialect per 10,000 can 23 author per 10,000 20 dialect per 10,000 buik 23 author per 10,000 0 dialect per 10,000 hame 23 author per 10,000 7 dialect per 10,000 ower 21 author per 10,000 24 dialect per 10,000 its 21 author per 10,000 3 dialect per 10,000 like 21 author per 10,000 2 dialect per 10,000 wid 21 author per 10,000 38 dialect per 10,000 dae 21 author per 10,000 2 dialect per 10,000 here 21 author per 10,000 11 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 8 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 them 19 author per 10,000 1 dialect per 10,000 of 19 author per 10,000 11 dialect per 10,000 weel 19 author per 10,000 18 dialect per 10,000 if 19 author per 10,000 25 dialect per 10,000 gin 19 author per 10,000 0 dialect per 10,000 up 19 author per 10,000 42 dialect per 10,000 aye 18 author per 10,000 11 dialect per 10,000 by 18 author per 10,000 7 dialect per 10,000 still 18 author per 10,000 9 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 12 dialect per 10,000 she 16 author per 10,000 7 dialect per 10,000 wumman 16 author per 10,000 0 dialect per 10,000 he 16 author per 10,000 103 dialect per 10,000 me 16 author per 10,000 41 dialect per 10,000 day 16 author per 10,000 18 dialect per 10,000 auld 16 author per 10,000 1 dialect per 10,000 scottish 16 author per 10,000 1 dialect per 10,000 are 14 author per 10,000 2 dialect per 10,000 loch 14 author per 10,000 2 dialect per 10,000 we'll 14 author per 10,000 3 dialect per 10,000 man 14 author per 10,000 17 dialect per 10,000 gan 14 author per 10,000 0 dialect per 10,000 taen 14 author per 10,000 4 dialect per 10,000 sea 14 author per 10,000 6 dialect per 10,000 lik 14 author per 10,000 10 dialect per 10,000 aff 14 author per 10,000 18 dialect per 10,000 lang 14 author per 10,000 11 dialect per 10,000 identitie 14 author per 10,000 0 dialect per 10,000 thon 14 author per 10,000 0 dialect per 10,000 throu 14 author per 10,000 0 dialect per 10,000 fine 12 author per 10,000 7 dialect per 10,000 been 12 author per 10,000 16 dialect per 10,000 scots 12 author per 10,000 5 dialect per 10,000 men 12 author per 10,000 6 dialect per 10,000 days 12 author per 10,000 3 dialect per 10,000 nor 12 author per 10,000 3 dialect per 10,000 wa 12 author per 10,000 0 dialect per 10,000 dinna 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 5 dialect per 10,000 has 12 author per 10,000 3 dialect per 10,000 telt 12 author per 10,000 7 dialect per 10,000 twa 12 author per 10,000 13 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 ' 11 author per 10,000 23 dialect per 10,000 get 11 author per 10,000 6 dialect per 10,000 ya 11 author per 10,000 0 dialect per 10,000 young 11 author per 10,000 6 dialect per 10,000 oor 11 author per 10,000 1 dialect per 10,000 scotland 11 author per 10,000 2 dialect per 10,000 want 11 author per 10,000 5 dialect per 10,000 year 11 author per 10,000 7 dialect per 10,000 she's 11 author per 10,000 0 dialect per 10,000 mannie 11 author per 10,000 0 dialect per 10,000 folk 11 author per 10,000 1 dialect per 10,000 atween 11 author per 10,000 6 dialect per 10,000 we're 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 9 dialect per 10,000 then 11 author per 10,000 1 dialect per 10,000 cam 11 author per 10,000 23 dialect per 10,000 these 11 author per 10,000 1 dialect per 10,000 fowk 9 author per 10,000 0 dialect per 10,000 kintra 9 author per 10,000 0 dialect per 10,000 thing 9 author per 10,000 6 dialect per 10,000 een 9 author per 10,000 20 dialect per 10,000 gey 9 author per 10,000 0 dialect per 10,000 him 9 author per 10,000 47 dialect per 10,000 when 9 author per 10,000 5 dialect per 10,000 a'll 9 author per 10,000 5 dialect per 10,000 bairn 9 author per 10,000 5 dialect per 10,000 life 9 author per 10,000 7 dialect per 10,000 sisters 9 author per 10,000 1 dialect per 10,000 night 9 author per 10,000 5 dialect per 10,000 say 9 author per 10,000 11 dialect per 10,000 so 9 author per 10,000 26 dialect per 10,000 there 9 author per 10,000 1 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 5 dialect per 10,000 even 9 author per 10,000 10 dialect per 10,000 borders 9 author per 10,000 0 dialect per 10,000 noo 9 author per 10,000 19 dialect per 10,000 mak 9 author per 10,000 12 dialect per 10,000 yince 9 author per 10,000 0 dialect per 10,000 bein 9 author per 10,000 7 dialect per 10,000 deid 9 author per 10,000 2 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 across 9 author per 10,000 1 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 kens 9 author per 10,000 4 dialect per 10,000 monie 9 author per 10,000 0 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 13 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 3 dialect per 10,000 let 9 author per 10,000 1 dialect per 10,000 onie 9 author per 10,000 0 dialect per 10,000 sons 9 author per 10,000 0 dialect per 10,000 kinna 9 author per 10,000 0 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 20 dialect per 10,000 ye'll 9 author per 10,000 0 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 drink 9 author per 10,000 2 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 0 dialect per 10,000 a've 7 author per 10,000 0 dialect per 10,000 skin 7 author per 10,000 0 dialect per 10,000 unner 7 author per 10,000 0 dialect per 10,000 was 7 author per 10,000 3 dialect per 10,000 mind 7 author per 10,000 10 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 51 dialect per 10,000 turn 7 author per 10,000 3 dialect per 10,000 afore 7 author per 10,000 15 dialect per 10,000 whither 7 author per 10,000 0 dialect per 10,000 white 7 author per 10,000 5 dialect per 10,000 licht 7 author per 10,000 2 dialect per 10,000 till 7 author per 10,000 7 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 sky 7 author per 10,000 1 dialect per 10,000 names 7 author per 10,000 1 dialect per 10,000 near 7 author per 10,000 2 dialect per 10,000 talkin 7 author per 10,000 0 dialect per 10,000 lass 7 author per 10,000 7 dialect per 10,000 think 7 author per 10,000 1 dialect per 10,000 tells 7 author per 10,000 1 dialect per 10,000 name 7 author per 10,000 4 dialect per 10,000 ilka 7 author per 10,000 0 dialect per 10,000 sure 7 author per 10,000 4 dialect per 10,000
Orkney
the 543 author per 10,000 581 dialect per 10,000 a 349 author per 10,000 296 dialect per 10,000 an 266 author per 10,000 179 dialect per 10,000 tae 220 author per 10,000 222 dialect per 10,000 o 192 author per 10,000 199 dialect per 10,000 in 139 author per 10,000 147 dialect per 10,000 wi 102 author per 10,000 48 dialect per 10,000 ye 97 author per 10,000 17 dialect per 10,000 is 93 author per 10,000 73 dialect per 10,000 as 93 author per 10,000 48 dialect per 10,000 fir 86 author per 10,000 5 dialect per 10,000 that 78 author per 10,000 75 dialect per 10,000 fae 78 author per 10,000 37 dialect per 10,000 it 74 author per 10,000 23 dialect per 10,000 this 72 author per 10,000 35 dialect per 10,000 or 63 author per 10,000 30 dialect per 10,000 bit 62 author per 10,000 48 dialect per 10,000 ma 60 author per 10,000 1 dialect per 10,000 at 58 author per 10,000 53 dialect per 10,000 be 55 author per 10,000 42 dialect per 10,000 jist 44 author per 10,000 3 dialect per 10,000 her 44 author per 10,000 48 dialect per 10,000 aw 42 author per 10,000 0 dialect per 10,000 they 42 author per 10,000 35 dialect per 10,000 wir 42 author per 10,000 27 dialect per 10,000 yer 42 author per 10,000 7 dialect per 10,000 oan 42 author per 10,000 10 dialect per 10,000 it's 41 author per 10,000 4 dialect per 10,000 nae 39 author per 10,000 3 dialect per 10,000 thir 39 author per 10,000 30 dialect per 10,000 mair 37 author per 10,000 1 dialect per 10,000 we 37 author per 10,000 30 dialect per 10,000 his 35 author per 10,000 63 dialect per 10,000 no 32 author per 10,000 59 dialect per 10,000 hae 32 author per 10,000 12 dialect per 10,000 yin 30 author per 10,000 2 dialect per 10,000 aboot 28 author per 10,000 26 dialect per 10,000 us 28 author per 10,000 6 dialect per 10,000 will 26 author per 10,000 9 dialect per 10,000 a'm 26 author per 10,000 2 dialect per 10,000 doon 26 author per 10,000 28 dialect per 10,000 back 26 author per 10,000 27 dialect per 10,000 on 26 author per 10,000 73 dialect per 10,000 - 25 author per 10,000 78 dialect per 10,000 ain 25 author per 10,000 0 dialect per 10,000 efter 25 author per 10,000 6 dialect per 10,000 whit 25 author per 10,000 29 dialect per 10,000 and 25 author per 10,000 191 dialect per 10,000 oot 25 author per 10,000 51 dialect per 10,000 new 25 author per 10,000 10 dialect per 10,000 intae 25 author per 10,000 18 dialect per 10,000 time 23 author per 10,000 18 dialect per 10,000 kent 23 author per 10,000 5 dialect per 10,000 come 23 author per 10,000 10 dialect per 10,000 wee 23 author per 10,000 1 dialect per 10,000 wis 23 author per 10,000 79 dialect per 10,000 whaur 23 author per 10,000 1 dialect per 10,000 can 23 author per 10,000 13 dialect per 10,000 buik 23 author per 10,000 0 dialect per 10,000 hame 23 author per 10,000 1 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 its 21 author per 10,000 2 dialect per 10,000 like 21 author per 10,000 31 dialect per 10,000 wid 21 author per 10,000 20 dialect per 10,000 dae 21 author per 10,000 9 dialect per 10,000 here 21 author per 10,000 12 dialect per 10,000 mibbe 21 author per 10,000 3 dialect per 10,000 sae 21 author per 10,000 1 dialect per 10,000 ken 21 author per 10,000 15 dialect per 10,000 them 19 author per 10,000 17 dialect per 10,000 of 19 author per 10,000 6 dialect per 10,000 weel 19 author per 10,000 18 dialect per 10,000 if 19 author per 10,000 15 dialect per 10,000 gin 19 author per 10,000 1 dialect per 10,000 up 19 author per 10,000 33 dialect per 10,000 aye 18 author per 10,000 9 dialect per 10,000 by 18 author per 10,000 16 dialect per 10,000 still 18 author per 10,000 11 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 6 dialect per 10,000 she 16 author per 10,000 8 dialect per 10,000 wumman 16 author per 10,000 0 dialect per 10,000 he 16 author per 10,000 88 dialect per 10,000 me 16 author per 10,000 111 dialect per 10,000 day 16 author per 10,000 21 dialect per 10,000 auld 16 author per 10,000 1 dialect per 10,000 scottish 16 author per 10,000 2 dialect per 10,000 are 14 author per 10,000 14 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 we'll 14 author per 10,000 3 dialect per 10,000 man 14 author per 10,000 12 dialect per 10,000 gan 14 author per 10,000 2 dialect per 10,000 taen 14 author per 10,000 3 dialect per 10,000 sea 14 author per 10,000 7 dialect per 10,000 lik 14 author per 10,000 0 dialect per 10,000 aff 14 author per 10,000 8 dialect per 10,000 lang 14 author per 10,000 2 dialect per 10,000 identitie 14 author per 10,000 0 dialect per 10,000 thon 14 author per 10,000 0 dialect per 10,000 throu 14 author per 10,000 0 dialect per 10,000 fine 12 author per 10,000 6 dialect per 10,000 been 12 author per 10,000 18 dialect per 10,000 scots 12 author per 10,000 7 dialect per 10,000 men 12 author per 10,000 4 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 nor 12 author per 10,000 1 dialect per 10,000 wa 12 author per 10,000 0 dialect per 10,000 dinna 12 author per 10,000 4 dialect per 10,000 again 12 author per 10,000 12 dialect per 10,000 has 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 4 dialect per 10,000 twa 12 author per 10,000 10 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 ' 11 author per 10,000 10 dialect per 10,000 get 11 author per 10,000 10 dialect per 10,000 ya 11 author per 10,000 1 dialect per 10,000 young 11 author per 10,000 4 dialect per 10,000 oor 11 author per 10,000 2 dialect per 10,000 scotland 11 author per 10,000 1 dialect per 10,000 want 11 author per 10,000 5 dialect per 10,000 year 11 author per 10,000 7 dialect per 10,000 she's 11 author per 10,000 0 dialect per 10,000 mannie 11 author per 10,000 0 dialect per 10,000 folk 11 author per 10,000 9 dialect per 10,000 atween 11 author per 10,000 5 dialect per 10,000 we're 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 2 dialect per 10,000 then 11 author per 10,000 18 dialect per 10,000 cam 11 author per 10,000 8 dialect per 10,000 these 11 author per 10,000 2 dialect per 10,000 fowk 9 author per 10,000 0 dialect per 10,000 kintra 9 author per 10,000 0 dialect per 10,000 thing 9 author per 10,000 8 dialect per 10,000 een 9 author per 10,000 4 dialect per 10,000 gey 9 author per 10,000 3 dialect per 10,000 him 9 author per 10,000 21 dialect per 10,000 when 9 author per 10,000 23 dialect per 10,000 a'll 9 author per 10,000 1 dialect per 10,000 bairn 9 author per 10,000 4 dialect per 10,000 life 9 author per 10,000 7 dialect per 10,000 sisters 9 author per 10,000 0 dialect per 10,000 night 9 author per 10,000 12 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 so 9 author per 10,000 29 dialect per 10,000 there 9 author per 10,000 18 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 17 dialect per 10,000 even 9 author per 10,000 6 dialect per 10,000 borders 9 author per 10,000 0 dialect per 10,000 noo 9 author per 10,000 27 dialect per 10,000 mak 9 author per 10,000 8 dialect per 10,000 yince 9 author per 10,000 0 dialect per 10,000 bein 9 author per 10,000 1 dialect per 10,000 deid 9 author per 10,000 2 dialect per 10,000 watter 9 author per 10,000 4 dialect per 10,000 across 9 author per 10,000 4 dialect per 10,000 nane 9 author per 10,000 0 dialect per 10,000 kens 9 author per 10,000 6 dialect per 10,000 monie 9 author per 10,000 0 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 17 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 3 dialect per 10,000 let 9 author per 10,000 3 dialect per 10,000 onie 9 author per 10,000 0 dialect per 10,000 sons 9 author per 10,000 0 dialect per 10,000 kinna 9 author per 10,000 1 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 16 dialect per 10,000 ye'll 9 author per 10,000 1 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 drink 9 author per 10,000 3 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 0 dialect per 10,000 a've 7 author per 10,000 0 dialect per 10,000 skin 7 author per 10,000 1 dialect per 10,000 unner 7 author per 10,000 0 dialect per 10,000 was 7 author per 10,000 2 dialect per 10,000 mind 7 author per 10,000 10 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 33 dialect per 10,000 turn 7 author per 10,000 4 dialect per 10,000 afore 7 author per 10,000 13 dialect per 10,000 whither 7 author per 10,000 1 dialect per 10,000 white 7 author per 10,000 5 dialect per 10,000 licht 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 8 dialect per 10,000 yins 7 author per 10,000 0 dialect per 10,000 sky 7 author per 10,000 4 dialect per 10,000 names 7 author per 10,000 0 dialect per 10,000 near 7 author per 10,000 5 dialect per 10,000 talkin 7 author per 10,000 0 dialect per 10,000 lass 7 author per 10,000 4 dialect per 10,000 think 7 author per 10,000 9 dialect per 10,000 tells 7 author per 10,000 1 dialect per 10,000 name 7 author per 10,000 3 dialect per 10,000 ilka 7 author per 10,000 0 dialect per 10,000 sure 7 author per 10,000 5 dialect per 10,000
Southern
the 543 author per 10,000 438 dialect per 10,000 a 349 author per 10,000 223 dialect per 10,000 an 266 author per 10,000 310 dialect per 10,000 tae 220 author per 10,000 203 dialect per 10,000 o 192 author per 10,000 214 dialect per 10,000 in 139 author per 10,000 106 dialect per 10,000 wi 102 author per 10,000 71 dialect per 10,000 ye 97 author per 10,000 19 dialect per 10,000 is 93 author per 10,000 65 dialect per 10,000 as 93 author per 10,000 50 dialect per 10,000 fir 86 author per 10,000 5 dialect per 10,000 that 78 author per 10,000 64 dialect per 10,000 fae 78 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 58 dialect per 10,000 this 72 author per 10,000 35 dialect per 10,000 or 63 author per 10,000 22 dialect per 10,000 bit 62 author per 10,000 15 dialect per 10,000 ma 60 author per 10,000 59 dialect per 10,000 at 58 author per 10,000 74 dialect per 10,000 be 55 author per 10,000 12 dialect per 10,000 jist 44 author per 10,000 12 dialect per 10,000 her 44 author per 10,000 16 dialect per 10,000 aw 42 author per 10,000 34 dialect per 10,000 they 42 author per 10,000 30 dialect per 10,000 wir 42 author per 10,000 1 dialect per 10,000 yer 42 author per 10,000 10 dialect per 10,000 oan 42 author per 10,000 36 dialect per 10,000 it's 41 author per 10,000 4 dialect per 10,000 nae 39 author per 10,000 25 dialect per 10,000 thir 39 author per 10,000 2 dialect per 10,000 mair 37 author per 10,000 16 dialect per 10,000 we 37 author per 10,000 10 dialect per 10,000 his 35 author per 10,000 37 dialect per 10,000 no 32 author per 10,000 29 dialect per 10,000 hae 32 author per 10,000 38 dialect per 10,000 yin 30 author per 10,000 23 dialect per 10,000 aboot 28 author per 10,000 31 dialect per 10,000 us 28 author per 10,000 5 dialect per 10,000 will 26 author per 10,000 1 dialect per 10,000 a'm 26 author per 10,000 1 dialect per 10,000 doon 26 author per 10,000 25 dialect per 10,000 back 26 author per 10,000 20 dialect per 10,000 on 26 author per 10,000 56 dialect per 10,000 - 25 author per 10,000 31 dialect per 10,000 ain 25 author per 10,000 9 dialect per 10,000 efter 25 author per 10,000 14 dialect per 10,000 whit 25 author per 10,000 32 dialect per 10,000 and 25 author per 10,000 15 dialect per 10,000 oot 25 author per 10,000 35 dialect per 10,000 new 25 author per 10,000 7 dialect per 10,000 intae 25 author per 10,000 10 dialect per 10,000 time 23 author per 10,000 13 dialect per 10,000 kent 23 author per 10,000 11 dialect per 10,000 come 23 author per 10,000 7 dialect per 10,000 wee 23 author per 10,000 23 dialect per 10,000 wis 23 author per 10,000 58 dialect per 10,000 whaur 23 author per 10,000 8 dialect per 10,000 can 23 author per 10,000 10 dialect per 10,000 buik 23 author per 10,000 0 dialect per 10,000 hame 23 author per 10,000 9 dialect per 10,000 ower 21 author per 10,000 14 dialect per 10,000 its 21 author per 10,000 7 dialect per 10,000 like 21 author per 10,000 7 dialect per 10,000 wid 21 author per 10,000 1 dialect per 10,000 dae 21 author per 10,000 15 dialect per 10,000 here 21 author per 10,000 14 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 26 dialect per 10,000 ken 21 author per 10,000 18 dialect per 10,000 them 19 author per 10,000 4 dialect per 10,000 of 19 author per 10,000 9 dialect per 10,000 weel 19 author per 10,000 4 dialect per 10,000 if 19 author per 10,000 16 dialect per 10,000 gin 19 author per 10,000 9 dialect per 10,000 up 19 author per 10,000 41 dialect per 10,000 aye 18 author per 10,000 10 dialect per 10,000 by 18 author per 10,000 3 dialect per 10,000 still 18 author per 10,000 6 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 6 dialect per 10,000 she 16 author per 10,000 97 dialect per 10,000 wumman 16 author per 10,000 0 dialect per 10,000 he 16 author per 10,000 11 dialect per 10,000 me 16 author per 10,000 14 dialect per 10,000 day 16 author per 10,000 18 dialect per 10,000 auld 16 author per 10,000 20 dialect per 10,000 scottish 16 author per 10,000 1 dialect per 10,000 are 14 author per 10,000 9 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 we'll 14 author per 10,000 1 dialect per 10,000 man 14 author per 10,000 7 dialect per 10,000 gan 14 author per 10,000 2 dialect per 10,000 taen 14 author per 10,000 4 dialect per 10,000 sea 14 author per 10,000 3 dialect per 10,000 lik 14 author per 10,000 18 dialect per 10,000 aff 14 author per 10,000 4 dialect per 10,000 lang 14 author per 10,000 13 dialect per 10,000 identitie 14 author per 10,000 1 dialect per 10,000 thon 14 author per 10,000 3 dialect per 10,000 throu 14 author per 10,000 3 dialect per 10,000 fine 12 author per 10,000 1 dialect per 10,000 been 12 author per 10,000 10 dialect per 10,000 scots 12 author per 10,000 8 dialect per 10,000 men 12 author per 10,000 3 dialect per 10,000 days 12 author per 10,000 7 dialect per 10,000 nor 12 author per 10,000 5 dialect per 10,000 wa 12 author per 10,000 1 dialect per 10,000 dinna 12 author per 10,000 2 dialect per 10,000 again 12 author per 10,000 3 dialect per 10,000 has 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 6 dialect per 10,000 twa 12 author per 10,000 3 dialect per 10,000 seen 12 author per 10,000 5 dialect per 10,000 ' 11 author per 10,000 6 dialect per 10,000 get 11 author per 10,000 10 dialect per 10,000 ya 11 author per 10,000 0 dialect per 10,000 young 11 author per 10,000 3 dialect per 10,000 oor 11 author per 10,000 11 dialect per 10,000 scotland 11 author per 10,000 3 dialect per 10,000 want 11 author per 10,000 3 dialect per 10,000 year 11 author per 10,000 5 dialect per 10,000 she's 11 author per 10,000 1 dialect per 10,000 mannie 11 author per 10,000 0 dialect per 10,000 folk 11 author per 10,000 3 dialect per 10,000 atween 11 author per 10,000 6 dialect per 10,000 we're 11 author per 10,000 0 dialect per 10,000 gie 11 author per 10,000 13 dialect per 10,000 then 11 author per 10,000 16 dialect per 10,000 cam 11 author per 10,000 3 dialect per 10,000 these 11 author per 10,000 2 dialect per 10,000 fowk 9 author per 10,000 4 dialect per 10,000 kintra 9 author per 10,000 1 dialect per 10,000 thing 9 author per 10,000 2 dialect per 10,000 een 9 author per 10,000 2 dialect per 10,000 gey 9 author per 10,000 8 dialect per 10,000 him 9 author per 10,000 11 dialect per 10,000 when 9 author per 10,000 14 dialect per 10,000 a'll 9 author per 10,000 0 dialect per 10,000 bairn 9 author per 10,000 4 dialect per 10,000 life 9 author per 10,000 6 dialect per 10,000 sisters 9 author per 10,000 0 dialect per 10,000 night 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 18 dialect per 10,000 so 9 author per 10,000 1 dialect per 10,000 there 9 author per 10,000 16 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 0 dialect per 10,000 even 9 author per 10,000 5 dialect per 10,000 borders 9 author per 10,000 2 dialect per 10,000 noo 9 author per 10,000 11 dialect per 10,000 mak 9 author per 10,000 8 dialect per 10,000 yince 9 author per 10,000 7 dialect per 10,000 bein 9 author per 10,000 5 dialect per 10,000 deid 9 author per 10,000 3 dialect per 10,000 watter 9 author per 10,000 1 dialect per 10,000 across 9 author per 10,000 1 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 kens 9 author per 10,000 1 dialect per 10,000 monie 9 author per 10,000 4 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 10 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 1 dialect per 10,000 let 9 author per 10,000 3 dialect per 10,000 onie 9 author per 10,000 4 dialect per 10,000 sons 9 author per 10,000 2 dialect per 10,000 kinna 9 author per 10,000 0 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 5 dialect per 10,000 ye'll 9 author per 10,000 1 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 drink 9 author per 10,000 3 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 0 dialect per 10,000 a've 7 author per 10,000 0 dialect per 10,000 skin 7 author per 10,000 0 dialect per 10,000 unner 7 author per 10,000 1 dialect per 10,000 was 7 author per 10,000 59 dialect per 10,000 mind 7 author per 10,000 8 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 2 dialect per 10,000 turn 7 author per 10,000 3 dialect per 10,000 afore 7 author per 10,000 16 dialect per 10,000 whither 7 author per 10,000 0 dialect per 10,000 white 7 author per 10,000 6 dialect per 10,000 licht 7 author per 10,000 2 dialect per 10,000 till 7 author per 10,000 4 dialect per 10,000 yins 7 author per 10,000 2 dialect per 10,000 sky 7 author per 10,000 1 dialect per 10,000 names 7 author per 10,000 3 dialect per 10,000 near 7 author per 10,000 4 dialect per 10,000 talkin 7 author per 10,000 2 dialect per 10,000 lass 7 author per 10,000 2 dialect per 10,000 think 7 author per 10,000 7 dialect per 10,000 tells 7 author per 10,000 1 dialect per 10,000 name 7 author per 10,000 3 dialect per 10,000 ilka 7 author per 10,000 3 dialect per 10,000 sure 7 author per 10,000 1 dialect per 10,000
Ulster
the 543 author per 10,000 296 dialect per 10,000 a 349 author per 10,000 284 dialect per 10,000 an 266 author per 10,000 364 dialect per 10,000 tae 220 author per 10,000 259 dialect per 10,000 o 192 author per 10,000 210 dialect per 10,000 in 139 author per 10,000 120 dialect per 10,000 wi 102 author per 10,000 61 dialect per 10,000 ye 97 author per 10,000 79 dialect per 10,000 is 93 author per 10,000 19 dialect per 10,000 as 93 author per 10,000 29 dialect per 10,000 fir 86 author per 10,000 2 dialect per 10,000 that 78 author per 10,000 72 dialect per 10,000 fae 78 author per 10,000 14 dialect per 10,000 it 74 author per 10,000 71 dialect per 10,000 this 72 author per 10,000 28 dialect per 10,000 or 63 author per 10,000 36 dialect per 10,000 bit 62 author per 10,000 10 dialect per 10,000 ma 60 author per 10,000 21 dialect per 10,000 at 58 author per 10,000 58 dialect per 10,000 be 55 author per 10,000 40 dialect per 10,000 jist 44 author per 10,000 9 dialect per 10,000 her 44 author per 10,000 7 dialect per 10,000 aw 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 26 dialect per 10,000 wir 42 author per 10,000 1 dialect per 10,000 yer 42 author per 10,000 38 dialect per 10,000 oan 42 author per 10,000 21 dialect per 10,000 it's 41 author per 10,000 13 dialect per 10,000 nae 39 author per 10,000 23 dialect per 10,000 thir 39 author per 10,000 4 dialect per 10,000 mair 37 author per 10,000 30 dialect per 10,000 we 37 author per 10,000 18 dialect per 10,000 his 35 author per 10,000 19 dialect per 10,000 no 32 author per 10,000 22 dialect per 10,000 hae 32 author per 10,000 55 dialect per 10,000 yin 30 author per 10,000 36 dialect per 10,000 aboot 28 author per 10,000 27 dialect per 10,000 us 28 author per 10,000 4 dialect per 10,000 will 26 author per 10,000 2 dialect per 10,000 a'm 26 author per 10,000 10 dialect per 10,000 doon 26 author per 10,000 28 dialect per 10,000 back 26 author per 10,000 3 dialect per 10,000 on 26 author per 10,000 54 dialect per 10,000 - 25 author per 10,000 27 dialect per 10,000 ain 25 author per 10,000 15 dialect per 10,000 efter 25 author per 10,000 5 dialect per 10,000 whit 25 author per 10,000 2 dialect per 10,000 and 25 author per 10,000 10 dialect per 10,000 oot 25 author per 10,000 51 dialect per 10,000 new 25 author per 10,000 8 dialect per 10,000 intae 25 author per 10,000 13 dialect per 10,000 time 23 author per 10,000 13 dialect per 10,000 kent 23 author per 10,000 1 dialect per 10,000 come 23 author per 10,000 9 dialect per 10,000 wee 23 author per 10,000 26 dialect per 10,000 wis 23 author per 10,000 1 dialect per 10,000 whaur 23 author per 10,000 3 dialect per 10,000 can 23 author per 10,000 14 dialect per 10,000 buik 23 author per 10,000 2 dialect per 10,000 hame 23 author per 10,000 9 dialect per 10,000 ower 21 author per 10,000 16 dialect per 10,000 its 21 author per 10,000 8 dialect per 10,000 like 21 author per 10,000 9 dialect per 10,000 wid 21 author per 10,000 1 dialect per 10,000 dae 21 author per 10,000 24 dialect per 10,000 here 21 author per 10,000 10 dialect per 10,000 mibbe 21 author per 10,000 0 dialect per 10,000 sae 21 author per 10,000 26 dialect per 10,000 ken 21 author per 10,000 4 dialect per 10,000 them 19 author per 10,000 7 dialect per 10,000 of 19 author per 10,000 2 dialect per 10,000 weel 19 author per 10,000 13 dialect per 10,000 if 19 author per 10,000 13 dialect per 10,000 gin 19 author per 10,000 6 dialect per 10,000 up 19 author per 10,000 31 dialect per 10,000 aye 18 author per 10,000 12 dialect per 10,000 by 18 author per 10,000 8 dialect per 10,000 still 18 author per 10,000 4 dialect per 10,000 thistle 18 author per 10,000 0 dialect per 10,000 muckle 16 author per 10,000 2 dialect per 10,000 she 16 author per 10,000 13 dialect per 10,000 wumman 16 author per 10,000 4 dialect per 10,000 he 16 author per 10,000 63 dialect per 10,000 me 16 author per 10,000 24 dialect per 10,000 day 16 author per 10,000 15 dialect per 10,000 auld 16 author per 10,000 1 dialect per 10,000 scottish 16 author per 10,000 0 dialect per 10,000 are 14 author per 10,000 4 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 we'll 14 author per 10,000 1 dialect per 10,000 man 14 author per 10,000 17 dialect per 10,000 gan 14 author per 10,000 6 dialect per 10,000 taen 14 author per 10,000 3 dialect per 10,000 sea 14 author per 10,000 1 dialect per 10,000 lik 14 author per 10,000 6 dialect per 10,000 aff 14 author per 10,000 15 dialect per 10,000 lang 14 author per 10,000 12 dialect per 10,000 identitie 14 author per 10,000 0 dialect per 10,000 thon 14 author per 10,000 29 dialect per 10,000 throu 14 author per 10,000 3 dialect per 10,000 fine 12 author per 10,000 1 dialect per 10,000 been 12 author per 10,000 2 dialect per 10,000 scots 12 author per 10,000 3 dialect per 10,000 men 12 author per 10,000 6 dialect per 10,000 days 12 author per 10,000 5 dialect per 10,000 nor 12 author per 10,000 12 dialect per 10,000 wa 12 author per 10,000 0 dialect per 10,000 dinna 12 author per 10,000 0 dialect per 10,000 again 12 author per 10,000 2 dialect per 10,000 has 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 1 dialect per 10,000 twa 12 author per 10,000 12 dialect per 10,000 seen 12 author per 10,000 4 dialect per 10,000 ' 11 author per 10,000 11 dialect per 10,000 get 11 author per 10,000 8 dialect per 10,000 ya 11 author per 10,000 0 dialect per 10,000 young 11 author per 10,000 2 dialect per 10,000 oor 11 author per 10,000 16 dialect per 10,000 scotland 11 author per 10,000 0 dialect per 10,000 want 11 author per 10,000 4 dialect per 10,000 year 11 author per 10,000 2 dialect per 10,000 she's 11 author per 10,000 1 dialect per 10,000 mannie 11 author per 10,000 0 dialect per 10,000 folk 11 author per 10,000 5 dialect per 10,000 atween 11 author per 10,000 3 dialect per 10,000 we're 11 author per 10,000 1 dialect per 10,000 gie 11 author per 10,000 17 dialect per 10,000 then 11 author per 10,000 17 dialect per 10,000 cam 11 author per 10,000 0 dialect per 10,000 these 11 author per 10,000 5 dialect per 10,000 fowk 9 author per 10,000 23 dialect per 10,000 kintra 9 author per 10,000 1 dialect per 10,000 thing 9 author per 10,000 7 dialect per 10,000 een 9 author per 10,000 6 dialect per 10,000 gey 9 author per 10,000 0 dialect per 10,000 him 9 author per 10,000 9 dialect per 10,000 when 9 author per 10,000 2 dialect per 10,000 a'll 9 author per 10,000 6 dialect per 10,000 bairn 9 author per 10,000 0 dialect per 10,000 life 9 author per 10,000 5 dialect per 10,000 sisters 9 author per 10,000 0 dialect per 10,000 night 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 so 9 author per 10,000 5 dialect per 10,000 there 9 author per 10,000 6 dialect per 10,000 picts 9 author per 10,000 0 dialect per 10,000 right 9 author per 10,000 1 dialect per 10,000 even 9 author per 10,000 4 dialect per 10,000 borders 9 author per 10,000 0 dialect per 10,000 noo 9 author per 10,000 23 dialect per 10,000 mak 9 author per 10,000 10 dialect per 10,000 yince 9 author per 10,000 2 dialect per 10,000 bein 9 author per 10,000 4 dialect per 10,000 deid 9 author per 10,000 4 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 across 9 author per 10,000 1 dialect per 10,000 nane 9 author per 10,000 2 dialect per 10,000 kens 9 author per 10,000 1 dialect per 10,000 monie 9 author per 10,000 5 dialect per 10,000 macdougall 9 author per 10,000 0 dialect per 10,000 some 9 author per 10,000 6 dialect per 10,000 facts 9 author per 10,000 0 dialect per 10,000 past 9 author per 10,000 1 dialect per 10,000 let 9 author per 10,000 6 dialect per 10,000 onie 9 author per 10,000 10 dialect per 10,000 sons 9 author per 10,000 0 dialect per 10,000 kinna 9 author per 10,000 0 dialect per 10,000 soil 9 author per 10,000 0 dialect per 10,000 see 9 author per 10,000 16 dialect per 10,000 ye'll 9 author per 10,000 5 dialect per 10,000 sing 9 author per 10,000 2 dialect per 10,000 drink 9 author per 10,000 1 dialect per 10,000 malawi 9 author per 10,000 0 dialect per 10,000 solway 7 author per 10,000 0 dialect per 10,000 wean 7 author per 10,000 5 dialect per 10,000 a've 7 author per 10,000 1 dialect per 10,000 skin 7 author per 10,000 0 dialect per 10,000 unner 7 author per 10,000 3 dialect per 10,000 was 7 author per 10,000 11 dialect per 10,000 mind 7 author per 10,000 3 dialect per 10,000 harvester 7 author per 10,000 0 dialect per 10,000 saddest 7 author per 10,000 0 dialect per 10,000 you 7 author per 10,000 4 dialect per 10,000 turn 7 author per 10,000 3 dialect per 10,000 afore 7 author per 10,000 12 dialect per 10,000 whither 7 author per 10,000 0 dialect per 10,000 white 7 author per 10,000 4 dialect per 10,000 licht 7 author per 10,000 5 dialect per 10,000 till 7 author per 10,000 1 dialect per 10,000 yins 7 author per 10,000 9 dialect per 10,000 sky 7 author per 10,000 1 dialect per 10,000 names 7 author per 10,000 1 dialect per 10,000 near 7 author per 10,000 4 dialect per 10,000 talkin 7 author per 10,000 0 dialect per 10,000 lass 7 author per 10,000 1 dialect per 10,000 think 7 author per 10,000 7 dialect per 10,000 tells 7 author per 10,000 0 dialect per 10,000 name 7 author per 10,000 6 dialect per 10,000 ilka 7 author per 10,000 2 dialect per 10,000 sure 7 author per 10,000 4 dialect per 10,000