A Corpus of 21st Century Scots Texts

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Kurtoglu, Wulf


Total words by this author in corpus - 70,466
Total unique words used by this author in corpus - 7,648
Ratio of total words to unique words - 9.214
Top ten most common words - the, €, tae, he, a, an, she, o, wis, her,

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 490 author per 10,000 565 dialect per 10,000 € 269 author per 10,000 26 dialect per 10,000 tae 242 author per 10,000 211 dialect per 10,000 he 237 author per 10,000 90 dialect per 10,000 a 233 author per 10,000 262 dialect per 10,000 an 228 author per 10,000 215 dialect per 10,000 she 186 author per 10,000 57 dialect per 10,000 o 175 author per 10,000 187 dialect per 10,000 wis 173 author per 10,000 99 dialect per 10,000 her 135 author per 10,000 45 dialect per 10,000 in 119 author per 10,000 148 dialect per 10,000 that 114 author per 10,000 108 dialect per 10,000 it 107 author per 10,000 119 dialect per 10,000 his 92 author per 10,000 56 dialect per 10,000 they 86 author per 10,000 43 dialect per 10,000 sayed 82 author per 10,000 5 dialect per 10,000 €™s 80 author per 10,000 35 dialect per 10,000 had 79 author per 10,000 23 dialect per 10,000 for 78 author per 10,000 46 dialect per 10,000 him 77 author per 10,000 29 dialect per 10,000 wi 77 author per 10,000 64 dialect per 10,000 bit 68 author per 10,000 17 dialect per 10,000 on 67 author per 10,000 54 dialect per 10,000 - 65 author per 10,000 27 dialect per 10,000 be 62 author per 10,000 49 dialect per 10,000 beatrice 60 author per 10,000 3 dialect per 10,000 as 55 author per 10,000 60 dialect per 10,000 at 52 author per 10,000 58 dialect per 10,000 bill 44 author per 10,000 3 dialect per 10,000 ah 43 author per 10,000 80 dialect per 10,000 ye 43 author per 10,000 60 dialect per 10,000 thaim 43 author per 10,000 8 dialect per 10,000 there 41 author per 10,000 24 dialect per 10,000 up 40 author per 10,000 40 dialect per 10,000 oot 39 author per 10,000 40 dialect per 10,000 fae 35 author per 10,000 26 dialect per 10,000 back 35 author per 10,000 20 dialect per 10,000 wad 34 author per 10,000 8 dialect per 10,000 than 33 author per 10,000 10 dialect per 10,000 you 32 author per 10,000 15 dialect per 10,000 no 32 author per 10,000 35 dialect per 10,000 hsien 31 author per 10,000 2 dialect per 10,000 raggle 29 author per 10,000 1 dialect per 10,000 is 29 author per 10,000 60 dialect per 10,000 hae 28 author per 10,000 21 dialect per 10,000 me 28 author per 10,000 40 dialect per 10,000 this 28 author per 10,000 42 dialect per 10,000 whan 27 author per 10,000 11 dialect per 10,000 man 26 author per 10,000 10 dialect per 10,000 thair 26 author per 10,000 7 dialect per 10,000 cud 26 author per 10,000 2 dialect per 10,000 €œah 26 author per 10,000 2 dialect per 10,000 ower 25 author per 10,000 18 dialect per 10,000 to 25 author per 10,000 9 dialect per 10,000 aa 24 author per 10,000 12 dialect per 10,000 aboot 23 author per 10,000 30 dialect per 10,000 auld 23 author per 10,000 13 dialect per 10,000 whit 23 author per 10,000 29 dialect per 10,000 been 22 author per 10,000 19 dialect per 10,000 doon 22 author per 10,000 18 dialect per 10,000 thoo 21 author per 10,000 1 dialect per 10,000 or 21 author per 10,000 29 dialect per 10,000 some 21 author per 10,000 13 dialect per 10,000 were 20 author per 10,000 16 dialect per 10,000 intae 20 author per 10,000 18 dialect per 10,000 ither 19 author per 10,000 11 dialect per 10,000 €™re 19 author per 10,000 4 dialect per 10,000 tane 18 author per 10,000 1 dialect per 10,000 nae 18 author per 10,000 22 dialect per 10,000 wey 18 author per 10,000 12 dialect per 10,000 juist 18 author per 10,000 7 dialect per 10,000 i 18 author per 10,000 38 dialect per 10,000 gaed 18 author per 10,000 5 dialect per 10,000 richt 17 author per 10,000 12 dialect per 10,000 €™ll 17 author per 10,000 5 dialect per 10,000 €™m 17 author per 10,000 6 dialect per 10,000 €™d 17 author per 10,000 7 dialect per 10,000 fowk 17 author per 10,000 13 dialect per 10,000 awa 17 author per 10,000 11 dialect per 10,000 chinese 16 author per 10,000 1 dialect per 10,000 made 16 author per 10,000 7 dialect per 10,000 aff 16 author per 10,000 14 dialect per 10,000 leukit 16 author per 10,000 1 dialect per 10,000 didna 16 author per 10,000 5 dialect per 10,000 haun 16 author per 10,000 4 dialect per 10,000 time 16 author per 10,000 17 dialect per 10,000 we 16 author per 10,000 34 dialect per 10,000 cam 15 author per 10,000 8 dialect per 10,000 yin 15 author per 10,000 9 dialect per 10,000 gin 15 author per 10,000 6 dialect per 10,000 dae 14 author per 10,000 17 dialect per 10,000 of 14 author per 10,000 10 dialect per 10,000 weill 14 author per 10,000 2 dialect per 10,000 can 14 author per 10,000 15 dialect per 10,000 thocht 14 author per 10,000 8 dialect per 10,000 til 14 author per 10,000 5 dialect per 10,000 €™t 14 author per 10,000 3 dialect per 10,000 got 14 author per 10,000 12 dialect per 10,000 see 13 author per 10,000 17 dialect per 10,000 wee 13 author per 10,000 28 dialect per 10,000 get 13 author per 10,000 15 dialect per 10,000 here 13 author per 10,000 12 dialect per 10,000 and 13 author per 10,000 104 dialect per 10,000 ken 13 author per 10,000 14 dialect per 10,000 if 12 author per 10,000 18 dialect per 10,000 noo 12 author per 10,000 13 dialect per 10,000 guzul 12 author per 10,000 1 dialect per 10,000 mair 12 author per 10,000 20 dialect per 10,000 again 12 author per 10,000 9 dialect per 10,000 only 12 author per 10,000 5 dialect per 10,000 aroon 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 whaur 11 author per 10,000 9 dialect per 10,000 fund 11 author per 10,000 3 dialect per 10,000 afore 11 author per 10,000 9 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 heid 11 author per 10,000 10 dialect per 10,000 tak 11 author per 10,000 8 dialect per 10,000 efter 11 author per 10,000 10 dialect per 10,000 people 11 author per 10,000 2 dialect per 10,000 wumman 11 author per 10,000 2 dialect per 10,000 speirt 11 author per 10,000 1 dialect per 10,000 gang 11 author per 10,000 4 dialect per 10,000 derriakin 11 author per 10,000 1 dialect per 10,000 gaun 11 author per 10,000 7 dialect per 10,000 €™ve 10 author per 10,000 4 dialect per 10,000 weemen 10 author per 10,000 1 dialect per 10,000 rongye 10 author per 10,000 0 dialect per 10,000 iskander 10 author per 10,000 0 dialect per 10,000 wha 10 author per 10,000 8 dialect per 10,000 ony 10 author per 10,000 6 dialect per 10,000 telt 10 author per 10,000 5 dialect per 10,000 €œit 10 author per 10,000 1 dialect per 10,000 gied 10 author per 10,000 4 dialect per 10,000 like 10 author per 10,000 28 dialect per 10,000 men 10 author per 10,000 3 dialect per 10,000 hissel 10 author per 10,000 1 dialect per 10,000 twa 10 author per 10,000 9 dialect per 10,000 saw 10 author per 10,000 4 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 lik 9 author per 10,000 5 dialect per 10,000 think 9 author per 10,000 9 dialect per 10,000 hersel 9 author per 10,000 3 dialect per 10,000 sae 9 author per 10,000 16 dialect per 10,000 €œye 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 ain 9 author per 10,000 10 dialect per 10,000 muckle 9 author per 10,000 10 dialect per 10,000 face 9 author per 10,000 5 dialect per 10,000 lat 9 author per 10,000 2 dialect per 10,000 have 9 author per 10,000 2 dialect per 10,000 while 8 author per 10,000 5 dialect per 10,000 heard 8 author per 10,000 4 dialect per 10,000 turnt 8 author per 10,000 2 dialect per 10,000 e 8 author per 10,000 2 dialect per 10,000 mak 8 author per 10,000 8 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 neist 8 author per 10,000 2 dialect per 10,000 kent 8 author per 10,000 6 dialect per 10,000 €™en 8 author per 10,000 1 dialect per 10,000 pandit 8 author per 10,000 0 dialect per 10,000 are 8 author per 10,000 17 dialect per 10,000 ilk 8 author per 10,000 2 dialect per 10,000 nor 8 author per 10,000 6 dialect per 10,000 leuk 8 author per 10,000 1 dialect per 10,000 which 8 author per 10,000 5 dialect per 10,000 lang 8 author per 10,000 9 dialect per 10,000 somethin 8 author per 10,000 4 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 thee 8 author per 10,000 1 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 seemt 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 3 dialect per 10,000 wisna 7 author per 10,000 3 dialect per 10,000 but 7 author per 10,000 47 dialect per 10,000 roon 7 author per 10,000 3 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 micht 7 author per 10,000 7 dialect per 10,000 yer 7 author per 10,000 18 dialect per 10,000 left 7 author per 10,000 5 dialect per 10,000 sut 7 author per 10,000 0 dialect per 10,000 aye 7 author per 10,000 15 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 6 dialect per 10,000 €™ 7 author per 10,000 45 dialect per 10,000 €œwe 7 author per 10,000 1 dialect per 10,000 us 7 author per 10,000 15 dialect per 10,000 things 7 author per 10,000 6 dialect per 10,000 ma 7 author per 10,000 51 dialect per 10,000 mornin 7 author per 10,000 3 dialect per 10,000 do 7 author per 10,000 1 dialect per 10,000 guid 7 author per 10,000 11 dialect per 10,000 eneuch 7 author per 10,000 2 dialect per 10,000 wintit 7 author per 10,000 0 dialect per 10,000 dinna 7 author per 10,000 4 dialect per 10,000 couple 6 author per 10,000 2 dialect per 10,000 door 6 author per 10,000 6 dialect per 10,000 day 6 author per 10,000 13 dialect per 10,000 just 6 author per 10,000 4 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000
Doric
the 490 author per 10,000 469 dialect per 10,000 € 269 author per 10,000 16 dialect per 10,000 tae 242 author per 10,000 164 dialect per 10,000 he 237 author per 10,000 97 dialect per 10,000 a 233 author per 10,000 300 dialect per 10,000 an 228 author per 10,000 308 dialect per 10,000 she 186 author per 10,000 73 dialect per 10,000 o 175 author per 10,000 181 dialect per 10,000 wis 173 author per 10,000 104 dialect per 10,000 her 135 author per 10,000 69 dialect per 10,000 in 119 author per 10,000 135 dialect per 10,000 that 114 author per 10,000 51 dialect per 10,000 it 107 author per 10,000 104 dialect per 10,000 his 92 author per 10,000 72 dialect per 10,000 they 86 author per 10,000 38 dialect per 10,000 sayed 82 author per 10,000 0 dialect per 10,000 €™s 80 author per 10,000 23 dialect per 10,000 had 79 author per 10,000 4 dialect per 10,000 for 78 author per 10,000 45 dialect per 10,000 him 77 author per 10,000 33 dialect per 10,000 wi 77 author per 10,000 82 dialect per 10,000 bit 68 author per 10,000 41 dialect per 10,000 on 67 author per 10,000 67 dialect per 10,000 - 65 author per 10,000 25 dialect per 10,000 be 62 author per 10,000 46 dialect per 10,000 beatrice 60 author per 10,000 0 dialect per 10,000 as 55 author per 10,000 55 dialect per 10,000 at 52 author per 10,000 70 dialect per 10,000 bill 44 author per 10,000 1 dialect per 10,000 ah 43 author per 10,000 43 dialect per 10,000 ye 43 author per 10,000 94 dialect per 10,000 thaim 43 author per 10,000 2 dialect per 10,000 there 41 author per 10,000 23 dialect per 10,000 up 40 author per 10,000 45 dialect per 10,000 oot 39 author per 10,000 48 dialect per 10,000 fae 35 author per 10,000 27 dialect per 10,000 back 35 author per 10,000 22 dialect per 10,000 wad 34 author per 10,000 9 dialect per 10,000 than 33 author per 10,000 8 dialect per 10,000 you 32 author per 10,000 18 dialect per 10,000 no 32 author per 10,000 8 dialect per 10,000 hsien 31 author per 10,000 0 dialect per 10,000 raggle 29 author per 10,000 0 dialect per 10,000 is 29 author per 10,000 42 dialect per 10,000 hae 28 author per 10,000 20 dialect per 10,000 me 28 author per 10,000 31 dialect per 10,000 this 28 author per 10,000 18 dialect per 10,000 whan 27 author per 10,000 1 dialect per 10,000 man 26 author per 10,000 7 dialect per 10,000 thair 26 author per 10,000 0 dialect per 10,000 cud 26 author per 10,000 5 dialect per 10,000 €œah 26 author per 10,000 0 dialect per 10,000 ower 25 author per 10,000 28 dialect per 10,000 to 25 author per 10,000 8 dialect per 10,000 aa 24 author per 10,000 43 dialect per 10,000 aboot 23 author per 10,000 33 dialect per 10,000 auld 23 author per 10,000 8 dialect per 10,000 whit 23 author per 10,000 2 dialect per 10,000 been 22 author per 10,000 13 dialect per 10,000 doon 22 author per 10,000 34 dialect per 10,000 thoo 21 author per 10,000 0 dialect per 10,000 or 21 author per 10,000 25 dialect per 10,000 some 21 author per 10,000 13 dialect per 10,000 were 20 author per 10,000 13 dialect per 10,000 intae 20 author per 10,000 10 dialect per 10,000 ither 19 author per 10,000 8 dialect per 10,000 €™re 19 author per 10,000 1 dialect per 10,000 tane 18 author per 10,000 0 dialect per 10,000 nae 18 author per 10,000 50 dialect per 10,000 wey 18 author per 10,000 2 dialect per 10,000 juist 18 author per 10,000 1 dialect per 10,000 i 18 author per 10,000 72 dialect per 10,000 gaed 18 author per 10,000 8 dialect per 10,000 richt 17 author per 10,000 18 dialect per 10,000 €™ll 17 author per 10,000 4 dialect per 10,000 €™m 17 author per 10,000 3 dialect per 10,000 €™d 17 author per 10,000 11 dialect per 10,000 fowk 17 author per 10,000 13 dialect per 10,000 awa 17 author per 10,000 22 dialect per 10,000 chinese 16 author per 10,000 0 dialect per 10,000 made 16 author per 10,000 8 dialect per 10,000 aff 16 author per 10,000 13 dialect per 10,000 leukit 16 author per 10,000 3 dialect per 10,000 didna 16 author per 10,000 10 dialect per 10,000 haun 16 author per 10,000 1 dialect per 10,000 time 16 author per 10,000 20 dialect per 10,000 we 16 author per 10,000 21 dialect per 10,000 cam 15 author per 10,000 12 dialect per 10,000 yin 15 author per 10,000 1 dialect per 10,000 gin 15 author per 10,000 8 dialect per 10,000 dae 14 author per 10,000 5 dialect per 10,000 of 14 author per 10,000 8 dialect per 10,000 weill 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 thocht 14 author per 10,000 13 dialect per 10,000 til 14 author per 10,000 3 dialect per 10,000 €™t 14 author per 10,000 2 dialect per 10,000 got 14 author per 10,000 13 dialect per 10,000 see 13 author per 10,000 22 dialect per 10,000 wee 13 author per 10,000 19 dialect per 10,000 get 13 author per 10,000 15 dialect per 10,000 here 13 author per 10,000 11 dialect per 10,000 and 13 author per 10,000 43 dialect per 10,000 ken 13 author per 10,000 23 dialect per 10,000 if 12 author per 10,000 17 dialect per 10,000 noo 12 author per 10,000 21 dialect per 10,000 guzul 12 author per 10,000 0 dialect per 10,000 mair 12 author per 10,000 18 dialect per 10,000 again 12 author per 10,000 11 dialect per 10,000 only 12 author per 10,000 6 dialect per 10,000 aroon 11 author per 10,000 4 dialect per 10,000 come 11 author per 10,000 14 dialect per 10,000 whaur 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 0 dialect per 10,000 afore 11 author per 10,000 14 dialect per 10,000 did 11 author per 10,000 10 dialect per 10,000 heid 11 author per 10,000 12 dialect per 10,000 tak 11 author per 10,000 9 dialect per 10,000 efter 11 author per 10,000 11 dialect per 10,000 people 11 author per 10,000 1 dialect per 10,000 wumman 11 author per 10,000 1 dialect per 10,000 speirt 11 author per 10,000 2 dialect per 10,000 gang 11 author per 10,000 3 dialect per 10,000 derriakin 11 author per 10,000 0 dialect per 10,000 gaun 11 author per 10,000 6 dialect per 10,000 €™ve 10 author per 10,000 2 dialect per 10,000 weemen 10 author per 10,000 0 dialect per 10,000 rongye 10 author per 10,000 0 dialect per 10,000 iskander 10 author per 10,000 0 dialect per 10,000 wha 10 author per 10,000 1 dialect per 10,000 ony 10 author per 10,000 9 dialect per 10,000 telt 10 author per 10,000 8 dialect per 10,000 €œit 10 author per 10,000 1 dialect per 10,000 gied 10 author per 10,000 5 dialect per 10,000 like 10 author per 10,000 40 dialect per 10,000 men 10 author per 10,000 2 dialect per 10,000 hissel 10 author per 10,000 1 dialect per 10,000 twa 10 author per 10,000 18 dialect per 10,000 saw 10 author per 10,000 4 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 lik 9 author per 10,000 3 dialect per 10,000 think 9 author per 10,000 12 dialect per 10,000 hersel 9 author per 10,000 5 dialect per 10,000 sae 9 author per 10,000 15 dialect per 10,000 €œye 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 15 dialect per 10,000 ain 9 author per 10,000 8 dialect per 10,000 muckle 9 author per 10,000 10 dialect per 10,000 face 9 author per 10,000 7 dialect per 10,000 lat 9 author per 10,000 3 dialect per 10,000 have 9 author per 10,000 1 dialect per 10,000 while 8 author per 10,000 2 dialect per 10,000 heard 8 author per 10,000 5 dialect per 10,000 turnt 8 author per 10,000 2 dialect per 10,000 e 8 author per 10,000 81 dialect per 10,000 mak 8 author per 10,000 9 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 neist 8 author per 10,000 3 dialect per 10,000 kent 8 author per 10,000 8 dialect per 10,000 €™en 8 author per 10,000 0 dialect per 10,000 pandit 8 author per 10,000 0 dialect per 10,000 are 8 author per 10,000 14 dialect per 10,000 ilk 8 author per 10,000 0 dialect per 10,000 nor 8 author per 10,000 6 dialect per 10,000 leuk 8 author per 10,000 2 dialect per 10,000 which 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 14 dialect per 10,000 somethin 8 author per 10,000 4 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 thee 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 8 dialect per 10,000 seemt 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 32 dialect per 10,000 wisna 7 author per 10,000 6 dialect per 10,000 but 7 author per 10,000 25 dialect per 10,000 roon 7 author per 10,000 11 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 micht 7 author per 10,000 6 dialect per 10,000 yer 7 author per 10,000 34 dialect per 10,000 left 7 author per 10,000 5 dialect per 10,000 sut 7 author per 10,000 1 dialect per 10,000 aye 7 author per 10,000 20 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 3 dialect per 10,000 €™ 7 author per 10,000 12 dialect per 10,000 €œwe 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 ma 7 author per 10,000 46 dialect per 10,000 mornin 7 author per 10,000 6 dialect per 10,000 do 7 author per 10,000 3 dialect per 10,000 guid 7 author per 10,000 4 dialect per 10,000 eneuch 7 author per 10,000 3 dialect per 10,000 wintit 7 author per 10,000 1 dialect per 10,000 dinna 7 author per 10,000 18 dialect per 10,000 couple 6 author per 10,000 1 dialect per 10,000 door 6 author per 10,000 8 dialect per 10,000 day 6 author per 10,000 28 dialect per 10,000 just 6 author per 10,000 1 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000
Shetland
the 490 author per 10,000 18 dialect per 10,000 € 269 author per 10,000 17 dialect per 10,000 tae 242 author per 10,000 86 dialect per 10,000 he 237 author per 10,000 103 dialect per 10,000 a 233 author per 10,000 280 dialect per 10,000 an 228 author per 10,000 330 dialect per 10,000 she 186 author per 10,000 7 dialect per 10,000 o 175 author per 10,000 177 dialect per 10,000 wis 173 author per 10,000 161 dialect per 10,000 her 135 author per 10,000 64 dialect per 10,000 in 119 author per 10,000 105 dialect per 10,000 that 114 author per 10,000 4 dialect per 10,000 it 107 author per 10,000 58 dialect per 10,000 his 92 author per 10,000 52 dialect per 10,000 they 86 author per 10,000 2 dialect per 10,000 sayed 82 author per 10,000 0 dialect per 10,000 €™s 80 author per 10,000 16 dialect per 10,000 had 79 author per 10,000 2 dialect per 10,000 for 78 author per 10,000 35 dialect per 10,000 him 77 author per 10,000 47 dialect per 10,000 wi 77 author per 10,000 95 dialect per 10,000 bit 68 author per 10,000 38 dialect per 10,000 on 67 author per 10,000 52 dialect per 10,000 - 65 author per 10,000 53 dialect per 10,000 be 62 author per 10,000 55 dialect per 10,000 beatrice 60 author per 10,000 0 dialect per 10,000 as 55 author per 10,000 79 dialect per 10,000 at 52 author per 10,000 112 dialect per 10,000 bill 44 author per 10,000 1 dialect per 10,000 ah 43 author per 10,000 0 dialect per 10,000 ye 43 author per 10,000 0 dialect per 10,000 thaim 43 author per 10,000 0 dialect per 10,000 there 41 author per 10,000 1 dialect per 10,000 up 40 author per 10,000 42 dialect per 10,000 oot 39 author per 10,000 42 dialect per 10,000 fae 35 author per 10,000 40 dialect per 10,000 back 35 author per 10,000 18 dialect per 10,000 wad 34 author per 10,000 1 dialect per 10,000 than 33 author per 10,000 0 dialect per 10,000 you 32 author per 10,000 51 dialect per 10,000 no 32 author per 10,000 35 dialect per 10,000 hsien 31 author per 10,000 0 dialect per 10,000 raggle 29 author per 10,000 0 dialect per 10,000 is 29 author per 10,000 81 dialect per 10,000 hae 28 author per 10,000 25 dialect per 10,000 me 28 author per 10,000 41 dialect per 10,000 this 28 author per 10,000 1 dialect per 10,000 whan 27 author per 10,000 7 dialect per 10,000 man 26 author per 10,000 17 dialect per 10,000 thair 26 author per 10,000 0 dialect per 10,000 cud 26 author per 10,000 0 dialect per 10,000 €œah 26 author per 10,000 0 dialect per 10,000 ower 25 author per 10,000 24 dialect per 10,000 to 25 author per 10,000 8 dialect per 10,000 aa 24 author per 10,000 51 dialect per 10,000 aboot 23 author per 10,000 41 dialect per 10,000 auld 23 author per 10,000 1 dialect per 10,000 whit 23 author per 10,000 39 dialect per 10,000 been 22 author per 10,000 16 dialect per 10,000 doon 22 author per 10,000 23 dialect per 10,000 thoo 21 author per 10,000 0 dialect per 10,000 or 21 author per 10,000 32 dialect per 10,000 some 21 author per 10,000 13 dialect per 10,000 were 20 author per 10,000 3 dialect per 10,000 intae 20 author per 10,000 8 dialect per 10,000 ither 19 author per 10,000 0 dialect per 10,000 €™re 19 author per 10,000 1 dialect per 10,000 tane 18 author per 10,000 0 dialect per 10,000 nae 18 author per 10,000 23 dialect per 10,000 wey 18 author per 10,000 0 dialect per 10,000 juist 18 author per 10,000 8 dialect per 10,000 i 18 author per 10,000 143 dialect per 10,000 gaed 18 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 13 dialect per 10,000 €™ll 17 author per 10,000 5 dialect per 10,000 €™m 17 author per 10,000 5 dialect per 10,000 €™d 17 author per 10,000 2 dialect per 10,000 fowk 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 13 dialect per 10,000 chinese 16 author per 10,000 0 dialect per 10,000 made 16 author per 10,000 1 dialect per 10,000 aff 16 author per 10,000 18 dialect per 10,000 leukit 16 author per 10,000 0 dialect per 10,000 didna 16 author per 10,000 10 dialect per 10,000 haun 16 author per 10,000 0 dialect per 10,000 time 16 author per 10,000 21 dialect per 10,000 we 16 author per 10,000 43 dialect per 10,000 cam 15 author per 10,000 23 dialect per 10,000 yin 15 author per 10,000 0 dialect per 10,000 gin 15 author per 10,000 0 dialect per 10,000 dae 14 author per 10,000 2 dialect per 10,000 of 14 author per 10,000 11 dialect per 10,000 weill 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 20 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 til 14 author per 10,000 2 dialect per 10,000 €™t 14 author per 10,000 0 dialect per 10,000 got 14 author per 10,000 8 dialect per 10,000 see 13 author per 10,000 20 dialect per 10,000 wee 13 author per 10,000 0 dialect per 10,000 get 13 author per 10,000 6 dialect per 10,000 here 13 author per 10,000 11 dialect per 10,000 and 13 author per 10,000 15 dialect per 10,000 ken 13 author per 10,000 14 dialect per 10,000 if 12 author per 10,000 25 dialect per 10,000 noo 12 author per 10,000 19 dialect per 10,000 guzul 12 author per 10,000 0 dialect per 10,000 mair 12 author per 10,000 19 dialect per 10,000 again 12 author per 10,000 5 dialect per 10,000 only 12 author per 10,000 5 dialect per 10,000 aroon 11 author per 10,000 1 dialect per 10,000 come 11 author per 10,000 19 dialect per 10,000 whaur 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 0 dialect per 10,000 afore 11 author per 10,000 15 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 heid 11 author per 10,000 2 dialect per 10,000 tak 11 author per 10,000 12 dialect per 10,000 efter 11 author per 10,000 9 dialect per 10,000 people 11 author per 10,000 0 dialect per 10,000 wumman 11 author per 10,000 0 dialect per 10,000 speirt 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 1 dialect per 10,000 derriakin 11 author per 10,000 0 dialect per 10,000 gaun 11 author per 10,000 0 dialect per 10,000 €™ve 10 author per 10,000 1 dialect per 10,000 weemen 10 author per 10,000 1 dialect per 10,000 rongye 10 author per 10,000 0 dialect per 10,000 iskander 10 author per 10,000 0 dialect per 10,000 wha 10 author per 10,000 5 dialect per 10,000 ony 10 author per 10,000 13 dialect per 10,000 telt 10 author per 10,000 7 dialect per 10,000 €œit 10 author per 10,000 0 dialect per 10,000 gied 10 author per 10,000 8 dialect per 10,000 like 10 author per 10,000 2 dialect per 10,000 men 10 author per 10,000 6 dialect per 10,000 hissel 10 author per 10,000 0 dialect per 10,000 twa 10 author per 10,000 13 dialect per 10,000 saw 10 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 10 dialect per 10,000 lik 9 author per 10,000 10 dialect per 10,000 think 9 author per 10,000 1 dialect per 10,000 hersel 9 author per 10,000 7 dialect per 10,000 sae 9 author per 10,000 8 dialect per 10,000 €œye 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 11 dialect per 10,000 ain 9 author per 10,000 7 dialect per 10,000 muckle 9 author per 10,000 12 dialect per 10,000 face 9 author per 10,000 6 dialect per 10,000 lat 9 author per 10,000 5 dialect per 10,000 have 9 author per 10,000 3 dialect per 10,000 while 8 author per 10,000 4 dialect per 10,000 heard 8 author per 10,000 6 dialect per 10,000 turnt 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 2 dialect per 10,000 mak 8 author per 10,000 12 dialect per 10,000 thing 8 author per 10,000 6 dialect per 10,000 neist 8 author per 10,000 1 dialect per 10,000 kent 8 author per 10,000 10 dialect per 10,000 €™en 8 author per 10,000 0 dialect per 10,000 pandit 8 author per 10,000 0 dialect per 10,000 are 8 author per 10,000 2 dialect per 10,000 ilk 8 author per 10,000 0 dialect per 10,000 nor 8 author per 10,000 3 dialect per 10,000 leuk 8 author per 10,000 0 dialect per 10,000 which 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 11 dialect per 10,000 somethin 8 author per 10,000 4 dialect per 10,000 pit 8 author per 10,000 6 dialect per 10,000 thee 8 author per 10,000 1 dialect per 10,000 foo 8 author per 10,000 11 dialect per 10,000 seemt 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 7 dialect per 10,000 wisna 7 author per 10,000 9 dialect per 10,000 but 7 author per 10,000 28 dialect per 10,000 roon 7 author per 10,000 0 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 micht 7 author per 10,000 4 dialect per 10,000 yer 7 author per 10,000 0 dialect per 10,000 left 7 author per 10,000 5 dialect per 10,000 sut 7 author per 10,000 0 dialect per 10,000 aye 7 author per 10,000 11 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 0 dialect per 10,000 €™ 7 author per 10,000 17 dialect per 10,000 €œwe 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 ma 7 author per 10,000 0 dialect per 10,000 mornin 7 author per 10,000 0 dialect per 10,000 do 7 author per 10,000 5 dialect per 10,000 guid 7 author per 10,000 12 dialect per 10,000 eneuch 7 author per 10,000 0 dialect per 10,000 wintit 7 author per 10,000 0 dialect per 10,000 dinna 7 author per 10,000 0 dialect per 10,000 couple 6 author per 10,000 1 dialect per 10,000 door 6 author per 10,000 7 dialect per 10,000 day 6 author per 10,000 18 dialect per 10,000 just 6 author per 10,000 10 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000
Orkney
the 490 author per 10,000 581 dialect per 10,000 € 269 author per 10,000 5 dialect per 10,000 tae 242 author per 10,000 222 dialect per 10,000 he 237 author per 10,000 88 dialect per 10,000 a 233 author per 10,000 296 dialect per 10,000 an 228 author per 10,000 179 dialect per 10,000 she 186 author per 10,000 8 dialect per 10,000 o 175 author per 10,000 199 dialect per 10,000 wis 173 author per 10,000 79 dialect per 10,000 her 135 author per 10,000 48 dialect per 10,000 in 119 author per 10,000 147 dialect per 10,000 that 114 author per 10,000 75 dialect per 10,000 it 107 author per 10,000 23 dialect per 10,000 his 92 author per 10,000 63 dialect per 10,000 they 86 author per 10,000 35 dialect per 10,000 sayed 82 author per 10,000 0 dialect per 10,000 €™s 80 author per 10,000 18 dialect per 10,000 had 79 author per 10,000 2 dialect per 10,000 for 78 author per 10,000 24 dialect per 10,000 him 77 author per 10,000 21 dialect per 10,000 wi 77 author per 10,000 48 dialect per 10,000 bit 68 author per 10,000 48 dialect per 10,000 on 67 author per 10,000 73 dialect per 10,000 - 65 author per 10,000 78 dialect per 10,000 be 62 author per 10,000 42 dialect per 10,000 beatrice 60 author per 10,000 0 dialect per 10,000 as 55 author per 10,000 48 dialect per 10,000 at 52 author per 10,000 53 dialect per 10,000 bill 44 author per 10,000 1 dialect per 10,000 ah 43 author per 10,000 2 dialect per 10,000 ye 43 author per 10,000 17 dialect per 10,000 thaim 43 author per 10,000 3 dialect per 10,000 there 41 author per 10,000 18 dialect per 10,000 up 40 author per 10,000 33 dialect per 10,000 oot 39 author per 10,000 51 dialect per 10,000 fae 35 author per 10,000 37 dialect per 10,000 back 35 author per 10,000 27 dialect per 10,000 wad 34 author per 10,000 2 dialect per 10,000 than 33 author per 10,000 13 dialect per 10,000 you 32 author per 10,000 33 dialect per 10,000 no 32 author per 10,000 59 dialect per 10,000 hsien 31 author per 10,000 0 dialect per 10,000 raggle 29 author per 10,000 0 dialect per 10,000 is 29 author per 10,000 73 dialect per 10,000 hae 28 author per 10,000 12 dialect per 10,000 me 28 author per 10,000 111 dialect per 10,000 this 28 author per 10,000 35 dialect per 10,000 whan 27 author per 10,000 8 dialect per 10,000 man 26 author per 10,000 12 dialect per 10,000 thair 26 author per 10,000 0 dialect per 10,000 cud 26 author per 10,000 0 dialect per 10,000 €œah 26 author per 10,000 0 dialect per 10,000 ower 25 author per 10,000 18 dialect per 10,000 to 25 author per 10,000 9 dialect per 10,000 aa 24 author per 10,000 8 dialect per 10,000 aboot 23 author per 10,000 26 dialect per 10,000 auld 23 author per 10,000 1 dialect per 10,000 whit 23 author per 10,000 29 dialect per 10,000 been 22 author per 10,000 18 dialect per 10,000 doon 22 author per 10,000 28 dialect per 10,000 thoo 21 author per 10,000 10 dialect per 10,000 or 21 author per 10,000 30 dialect per 10,000 some 21 author per 10,000 17 dialect per 10,000 were 20 author per 10,000 7 dialect per 10,000 intae 20 author per 10,000 18 dialect per 10,000 ither 19 author per 10,000 9 dialect per 10,000 €™re 19 author per 10,000 1 dialect per 10,000 tane 18 author per 10,000 0 dialect per 10,000 nae 18 author per 10,000 3 dialect per 10,000 wey 18 author per 10,000 10 dialect per 10,000 juist 18 author per 10,000 0 dialect per 10,000 i 18 author per 10,000 156 dialect per 10,000 gaed 18 author per 10,000 9 dialect per 10,000 richt 17 author per 10,000 0 dialect per 10,000 €™ll 17 author per 10,000 2 dialect per 10,000 €™m 17 author per 10,000 4 dialect per 10,000 €™d 17 author per 10,000 2 dialect per 10,000 fowk 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 1 dialect per 10,000 chinese 16 author per 10,000 0 dialect per 10,000 made 16 author per 10,000 3 dialect per 10,000 aff 16 author per 10,000 8 dialect per 10,000 leukit 16 author per 10,000 0 dialect per 10,000 didna 16 author per 10,000 9 dialect per 10,000 haun 16 author per 10,000 0 dialect per 10,000 time 16 author per 10,000 18 dialect per 10,000 we 16 author per 10,000 30 dialect per 10,000 cam 15 author per 10,000 8 dialect per 10,000 yin 15 author per 10,000 2 dialect per 10,000 gin 15 author per 10,000 1 dialect per 10,000 dae 14 author per 10,000 9 dialect per 10,000 of 14 author per 10,000 6 dialect per 10,000 weill 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 thocht 14 author per 10,000 0 dialect per 10,000 til 14 author per 10,000 1 dialect per 10,000 €™t 14 author per 10,000 1 dialect per 10,000 got 14 author per 10,000 12 dialect per 10,000 see 13 author per 10,000 16 dialect per 10,000 wee 13 author per 10,000 1 dialect per 10,000 get 13 author per 10,000 10 dialect per 10,000 here 13 author per 10,000 12 dialect per 10,000 and 13 author per 10,000 191 dialect per 10,000 ken 13 author per 10,000 15 dialect per 10,000 if 12 author per 10,000 15 dialect per 10,000 noo 12 author per 10,000 27 dialect per 10,000 guzul 12 author per 10,000 0 dialect per 10,000 mair 12 author per 10,000 1 dialect per 10,000 again 12 author per 10,000 12 dialect per 10,000 only 12 author per 10,000 7 dialect per 10,000 aroon 11 author per 10,000 2 dialect per 10,000 come 11 author per 10,000 10 dialect per 10,000 whaur 11 author per 10,000 1 dialect per 10,000 fund 11 author per 10,000 4 dialect per 10,000 afore 11 author per 10,000 13 dialect per 10,000 did 11 author per 10,000 8 dialect per 10,000 heid 11 author per 10,000 6 dialect per 10,000 tak 11 author per 10,000 13 dialect per 10,000 efter 11 author per 10,000 6 dialect per 10,000 people 11 author per 10,000 0 dialect per 10,000 wumman 11 author per 10,000 0 dialect per 10,000 speirt 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 1 dialect per 10,000 derriakin 11 author per 10,000 0 dialect per 10,000 gaun 11 author per 10,000 0 dialect per 10,000 €™ve 10 author per 10,000 1 dialect per 10,000 weemen 10 author per 10,000 0 dialect per 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per 10,000 foo 8 author per 10,000 0 dialect per 10,000 seemt 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 8 dialect per 10,000 wisna 7 author per 10,000 4 dialect per 10,000 but 7 author per 10,000 28 dialect per 10,000 roon 7 author per 10,000 2 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 micht 7 author per 10,000 0 dialect per 10,000 yer 7 author per 10,000 7 dialect per 10,000 left 7 author per 10,000 6 dialect per 10,000 sut 7 author per 10,000 0 dialect per 10,000 aye 7 author per 10,000 9 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 8 dialect per 10,000 €™ 7 author per 10,000 14 dialect per 10,000 €œwe 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 things 7 author per 10,000 9 dialect per 10,000 ma 7 author per 10,000 1 dialect per 10,000 mornin 7 author per 10,000 0 dialect per 10,000 do 7 author per 10,000 2 dialect per 10,000 guid 7 author per 10,000 2 dialect per 10,000 eneuch 7 author per 10,000 0 dialect per 10,000 wintit 7 author per 10,000 0 dialect per 10,000 dinna 7 author per 10,000 4 dialect per 10,000 couple 6 author per 10,000 2 dialect per 10,000 door 6 author per 10,000 8 dialect per 10,000 day 6 author per 10,000 21 dialect per 10,000 just 6 author per 10,000 2 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000
Southern
the 490 author per 10,000 438 dialect per 10,000 € 269 author per 10,000 15 dialect per 10,000 tae 242 author per 10,000 203 dialect per 10,000 he 237 author per 10,000 11 dialect per 10,000 a 233 author per 10,000 223 dialect per 10,000 an 228 author per 10,000 310 dialect per 10,000 she 186 author per 10,000 97 dialect per 10,000 o 175 author per 10,000 214 dialect per 10,000 wis 173 author per 10,000 58 dialect per 10,000 her 135 author per 10,000 16 dialect per 10,000 in 119 author per 10,000 106 dialect per 10,000 that 114 author per 10,000 64 dialect per 10,000 it 107 author per 10,000 58 dialect per 10,000 his 92 author per 10,000 37 dialect per 10,000 they 86 author per 10,000 30 dialect per 10,000 sayed 82 author per 10,000 4 dialect per 10,000 €™s 80 author per 10,000 37 dialect per 10,000 had 79 author per 10,000 0 dialect per 10,000 for 78 author per 10,000 22 dialect per 10,000 him 77 author per 10,000 11 dialect per 10,000 wi 77 author per 10,000 71 dialect per 10,000 bit 68 author per 10,000 15 dialect per 10,000 on 67 author per 10,000 56 dialect per 10,000 - 65 author per 10,000 31 dialect per 10,000 be 62 author per 10,000 12 dialect per 10,000 beatrice 60 author per 10,000 0 dialect per 10,000 as 55 author per 10,000 50 dialect per 10,000 at 52 author per 10,000 74 dialect per 10,000 bill 44 author per 10,000 2 dialect per 10,000 ah 43 author per 10,000 81 dialect per 10,000 ye 43 author per 10,000 19 dialect per 10,000 thaim 43 author per 10,000 10 dialect per 10,000 there 41 author per 10,000 16 dialect per 10,000 up 40 author per 10,000 41 dialect per 10,000 oot 39 author per 10,000 35 dialect per 10,000 fae 35 author per 10,000 0 dialect per 10,000 back 35 author per 10,000 20 dialect per 10,000 wad 34 author per 10,000 5 dialect per 10,000 than 33 author per 10,000 9 dialect per 10,000 you 32 author per 10,000 2 dialect per 10,000 no 32 author per 10,000 29 dialect per 10,000 hsien 31 author per 10,000 0 dialect per 10,000 raggle 29 author per 10,000 0 dialect per 10,000 is 29 author per 10,000 65 dialect per 10,000 hae 28 author per 10,000 38 dialect per 10,000 me 28 author per 10,000 14 dialect per 10,000 this 28 author per 10,000 35 dialect per 10,000 whan 27 author per 10,000 32 dialect per 10,000 man 26 author per 10,000 7 dialect per 10,000 thair 26 author per 10,000 18 dialect per 10,000 cud 26 author per 10,000 0 dialect per 10,000 €œah 26 author per 10,000 0 dialect per 10,000 ower 25 author per 10,000 14 dialect per 10,000 to 25 author per 10,000 1 dialect per 10,000 aa 24 author per 10,000 11 dialect per 10,000 aboot 23 author per 10,000 31 dialect per 10,000 auld 23 author per 10,000 20 dialect per 10,000 whit 23 author per 10,000 32 dialect per 10,000 been 22 author per 10,000 10 dialect per 10,000 doon 22 author per 10,000 25 dialect per 10,000 thoo 21 author per 10,000 0 dialect per 10,000 or 21 author per 10,000 22 dialect per 10,000 some 21 author per 10,000 10 dialect per 10,000 were 20 author per 10,000 16 dialect per 10,000 intae 20 author per 10,000 10 dialect per 10,000 ither 19 author per 10,000 13 dialect per 10,000 €™re 19 author per 10,000 1 dialect per 10,000 tane 18 author per 10,000 0 dialect per 10,000 nae 18 author per 10,000 25 dialect per 10,000 wey 18 author per 10,000 4 dialect per 10,000 juist 18 author per 10,000 14 dialect per 10,000 i 18 author per 10,000 78 dialect per 10,000 gaed 18 author per 10,000 8 dialect per 10,000 richt 17 author per 10,000 20 dialect per 10,000 €™ll 17 author per 10,000 2 dialect per 10,000 €™m 17 author per 10,000 5 dialect per 10,000 €™d 17 author per 10,000 7 dialect per 10,000 fowk 17 author per 10,000 4 dialect per 10,000 awa 17 author per 10,000 15 dialect per 10,000 chinese 16 author per 10,000 11 dialect per 10,000 made 16 author per 10,000 6 dialect per 10,000 aff 16 author per 10,000 4 dialect per 10,000 leukit 16 author per 10,000 1 dialect per 10,000 didna 16 author per 10,000 2 dialect per 10,000 haun 16 author per 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dialect per 10,000 guzul 12 author per 10,000 0 dialect per 10,000 mair 12 author per 10,000 16 dialect per 10,000 again 12 author per 10,000 3 dialect per 10,000 only 12 author per 10,000 8 dialect per 10,000 aroon 11 author per 10,000 0 dialect per 10,000 come 11 author per 10,000 7 dialect per 10,000 whaur 11 author per 10,000 8 dialect per 10,000 fund 11 author per 10,000 2 dialect per 10,000 afore 11 author per 10,000 16 dialect per 10,000 did 11 author per 10,000 10 dialect per 10,000 heid 11 author per 10,000 17 dialect per 10,000 tak 11 author per 10,000 9 dialect per 10,000 efter 11 author per 10,000 14 dialect per 10,000 people 11 author per 10,000 0 dialect per 10,000 wumman 11 author per 10,000 0 dialect per 10,000 speirt 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 3 dialect per 10,000 derriakin 11 author per 10,000 0 dialect per 10,000 gaun 11 author per 10,000 15 dialect per 10,000 €™ve 10 author per 10,000 4 dialect per 10,000 weemen 10 author per 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dialect per 10,000 face 9 author per 10,000 5 dialect per 10,000 lat 9 author per 10,000 2 dialect per 10,000 have 9 author per 10,000 0 dialect per 10,000 while 8 author per 10,000 5 dialect per 10,000 heard 8 author per 10,000 6 dialect per 10,000 turnt 8 author per 10,000 2 dialect per 10,000 e 8 author per 10,000 1 dialect per 10,000 mak 8 author per 10,000 8 dialect per 10,000 thing 8 author per 10,000 2 dialect per 10,000 neist 8 author per 10,000 2 dialect per 10,000 kent 8 author per 10,000 11 dialect per 10,000 €™en 8 author per 10,000 1 dialect per 10,000 pandit 8 author per 10,000 0 dialect per 10,000 are 8 author per 10,000 9 dialect per 10,000 ilk 8 author per 10,000 1 dialect per 10,000 nor 8 author per 10,000 5 dialect per 10,000 leuk 8 author per 10,000 1 dialect per 10,000 which 8 author per 10,000 7 dialect per 10,000 lang 8 author per 10,000 13 dialect per 10,000 somethin 8 author per 10,000 2 dialect per 10,000 pit 8 author per 10,000 2 dialect per 10,000 thee 8 author per 10,000 0 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 seemt 7 author per 10,000 0 dialect per 10,000 till 7 author per 10,000 4 dialect per 10,000 wisna 7 author per 10,000 1 dialect per 10,000 but 7 author per 10,000 38 dialect per 10,000 roon 7 author per 10,000 2 dialect per 10,000 felt 7 author per 10,000 4 dialect per 10,000 micht 7 author per 10,000 9 dialect per 10,000 yer 7 author per 10,000 10 dialect per 10,000 left 7 author per 10,000 5 dialect per 10,000 sut 7 author per 10,000 0 dialect per 10,000 aye 7 author per 10,000 10 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 1 dialect per 10,000 €™ 7 author per 10,000 15 dialect per 10,000 €œwe 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 5 dialect per 10,000 things 7 author per 10,000 2 dialect per 10,000 ma 7 author per 10,000 59 dialect per 10,000 mornin 7 author per 10,000 2 dialect per 10,000 do 7 author per 10,000 3 dialect per 10,000 guid 7 author per 10,000 13 dialect per 10,000 eneuch 7 author per 10,000 1 dialect per 10,000 wintit 7 author per 10,000 0 dialect per 10,000 dinna 7 author per 10,000 2 dialect per 10,000 couple 6 author per 10,000 1 dialect per 10,000 door 6 author per 10,000 8 dialect per 10,000 day 6 author per 10,000 18 dialect per 10,000 just 6 author per 10,000 1 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000
Ulster
the 490 author per 10,000 296 dialect per 10,000 € 269 author per 10,000 4 dialect per 10,000 tae 242 author per 10,000 259 dialect per 10,000 he 237 author per 10,000 63 dialect per 10,000 a 233 author per 10,000 284 dialect per 10,000 an 228 author per 10,000 364 dialect per 10,000 she 186 author per 10,000 13 dialect per 10,000 o 175 author per 10,000 210 dialect per 10,000 wis 173 author per 10,000 1 dialect per 10,000 her 135 author per 10,000 7 dialect per 10,000 in 119 author per 10,000 120 dialect per 10,000 that 114 author per 10,000 72 dialect per 10,000 it 107 author per 10,000 71 dialect per 10,000 his 92 author per 10,000 19 dialect per 10,000 they 86 author per 10,000 26 dialect per 10,000 sayed 82 author per 10,000 17 dialect per 10,000 €™s 80 author per 10,000 11 dialect per 10,000 had 79 author per 10,000 15 dialect per 10,000 for 78 author per 10,000 33 dialect per 10,000 him 77 author per 10,000 9 dialect per 10,000 wi 77 author per 10,000 61 dialect per 10,000 bit 68 author per 10,000 10 dialect per 10,000 on 67 author per 10,000 54 dialect per 10,000 - 65 author per 10,000 27 dialect per 10,000 be 62 author per 10,000 40 dialect per 10,000 beatrice 60 author per 10,000 0 dialect per 10,000 as 55 author per 10,000 29 dialect per 10,000 at 52 author per 10,000 58 dialect per 10,000 bill 44 author per 10,000 1 dialect per 10,000 ah 43 author per 10,000 13 dialect per 10,000 ye 43 author per 10,000 79 dialect per 10,000 thaim 43 author per 10,000 35 dialect per 10,000 there 41 author per 10,000 6 dialect per 10,000 up 40 author per 10,000 31 dialect per 10,000 oot 39 author per 10,000 51 dialect per 10,000 fae 35 author per 10,000 14 dialect per 10,000 back 35 author per 10,000 3 dialect per 10,000 wad 34 author per 10,000 1 dialect per 10,000 than 33 author per 10,000 3 dialect per 10,000 you 32 author per 10,000 4 dialect per 10,000 no 32 author per 10,000 22 dialect per 10,000 hsien 31 author per 10,000 0 dialect per 10,000 raggle 29 author per 10,000 0 dialect per 10,000 is 29 author per 10,000 19 dialect per 10,000 hae 28 author per 10,000 55 dialect per 10,000 me 28 author per 10,000 24 dialect per 10,000 this 28 author per 10,000 28 dialect per 10,000 whan 27 author per 10,000 16 dialect per 10,000 man 26 author per 10,000 17 dialect per 10,000 thair 26 author per 10,000 27 dialect per 10,000 cud 26 author per 10,000 13 dialect per 10,000 €œah 26 author per 10,000 0 dialect per 10,000 ower 25 author per 10,000 16 dialect per 10,000 to 25 author per 10,000 2 dialect per 10,000 aa 24 author per 10,000 45 dialect per 10,000 aboot 23 author per 10,000 27 dialect per 10,000 auld 23 author per 10,000 1 dialect per 10,000 whit 23 author per 10,000 2 dialect per 10,000 been 22 author per 10,000 2 dialect per 10,000 doon 22 author per 10,000 28 dialect per 10,000 thoo 21 author per 10,000 0 dialect per 10,000 or 21 author per 10,000 36 dialect per 10,000 some 21 author per 10,000 6 dialect per 10,000 were 20 author per 10,000 5 dialect per 10,000 intae 20 author per 10,000 13 dialect per 10,000 ither 19 author per 10,000 16 dialect per 10,000 €™re 19 author per 10,000 1 dialect per 10,000 tane 18 author per 10,000 0 dialect per 10,000 nae 18 author per 10,000 23 dialect per 10,000 wey 18 author per 10,000 0 dialect per 10,000 juist 18 author per 10,000 1 dialect per 10,000 i 18 author per 10,000 10 dialect per 10,000 gaed 18 author per 10,000 4 dialect per 10,000 richt 17 author per 10,000 14 dialect per 10,000 €™ll 17 author per 10,000 2 dialect per 10,000 €™m 17 author per 10,000 1 dialect per 10,000 €™d 17 author per 10,000 2 dialect per 10,000 fowk 17 author per 10,000 23 dialect per 10,000 awa 17 author per 10,000 16 dialect per 10,000 chinese 16 author per 10,000 0 dialect per 10,000 made 16 author per 10,000 6 dialect per 10,000 aff 16 author per 10,000 15 dialect per 10,000 leukit 16 author per 10,000 0 dialect per 10,000 didna 16 author per 10,000 0 dialect per 10,000 haun 16 author per 10,000 2 dialect per 10,000 time 16 author per 10,000 13 dialect per 10,000 we 16 author per 10,000 18 dialect per 10,000 cam 15 author per 10,000 0 dialect per 10,000 yin 15 author per 10,000 36 dialect per 10,000 gin 15 author per 10,000 6 dialect per 10,000 dae 14 author per 10,000 24 dialect per 10,000 of 14 author per 10,000 2 dialect per 10,000 weill 14 author per 10,000 1 dialect per 10,000 can 14 author per 10,000 14 dialect per 10,000 thocht 14 author per 10,000 11 dialect per 10,000 til 14 author per 10,000 17 dialect per 10,000 €™t 14 author per 10,000 2 dialect per 10,000 got 14 author per 10,000 9 dialect per 10,000 see 13 author per 10,000 16 dialect per 10,000 wee 13 author per 10,000 26 dialect per 10,000 get 13 author per 10,000 8 dialect per 10,000 here 13 author per 10,000 10 dialect per 10,000 and 13 author per 10,000 10 dialect per 10,000 ken 13 author per 10,000 4 dialect per 10,000 if 12 author per 10,000 13 dialect per 10,000 noo 12 author per 10,000 23 dialect per 10,000 guzul 12 author per 10,000 0 dialect per 10,000 mair 12 author per 10,000 30 dialect per 10,000 again 12 author per 10,000 2 dialect per 10,000 only 12 author per 10,000 3 dialect per 10,000 aroon 11 author per 10,000 3 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 whaur 11 author per 10,000 3 dialect per 10,000 fund 11 author per 10,000 2 dialect per 10,000 afore 11 author per 10,000 12 dialect per 10,000 did 11 author per 10,000 4 dialect per 10,000 heid 11 author per 10,000 12 dialect per 10,000 tak 11 author per 10,000 14 dialect per 10,000 efter 11 author per 10,000 5 dialect per 10,000 people 11 author per 10,000 1 dialect per 10,000 wumman 11 author per 10,000 4 dialect per 10,000 speirt 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 4 dialect per 10,000 derriakin 11 author per 10,000 0 dialect per 10,000 gaun 11 author per 10,000 2 dialect per 10,000 €™ve 10 author per 10,000 0 dialect per 10,000 weemen 10 author per 10,000 1 dialect per 10,000 rongye 10 author per 10,000 0 dialect per 10,000 iskander 10 author per 10,000 0 dialect per 10,000 wha 10 author per 10,000 10 dialect per 10,000 ony 10 author per 10,000 1 dialect per 10,000 telt 10 author per 10,000 1 dialect per 10,000 €œit 10 author per 10,000 0 dialect per 10,000 gied 10 author per 10,000 1 dialect per 10,000 like 10 author per 10,000 9 dialect per 10,000 men 10 author per 10,000 6 dialect per 10,000 hissel 10 author per 10,000 1 dialect per 10,000 twa 10 author per 10,000 12 dialect per 10,000 saw 10 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 1 dialect per 10,000 lik 9 author per 10,000 6 dialect per 10,000 think 9 author per 10,000 7 dialect per 10,000 hersel 9 author per 10,000 1 dialect per 10,000 sae 9 author per 10,000 26 dialect per 10,000 €œye 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 ain 9 author per 10,000 15 dialect per 10,000 muckle 9 author per 10,000 2 dialect per 10,000 face 9 author per 10,000 3 dialect per 10,000 lat 9 author per 10,000 0 dialect per 10,000 have 9 author per 10,000 0 dialect per 10,000 while 8 author per 10,000 5 dialect per 10,000 heard 8 author per 10,000 0 dialect per 10,000 turnt 8 author per 10,000 2 dialect per 10,000 e 8 author per 10,000 1 dialect per 10,000 mak 8 author per 10,000 10 dialect per 10,000 thing 8 author per 10,000 7 dialect per 10,000 neist 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 1 dialect per 10,000 €™en 8 author per 10,000 0 dialect per 10,000 pandit 8 author per 10,000 0 dialect per 10,000 are 8 author per 10,000 4 dialect per 10,000 ilk 8 author per 10,000 0 dialect per 10,000 nor 8 author per 10,000 12 dialect per 10,000 leuk 8 author per 10,000 1 dialect per 10,000 which 8 author per 10,000 0 dialect per 10,000 lang 8 author per 10,000 12 dialect per 10,000 somethin 8 author per 10,000 2 dialect per 10,000 pit 8 author per 10,000 11 dialect per 10,000 thee 8 author per 10,000 2 dialect per 10,000 foo 8 author per 10,000 0 dialect per 10,000 seemt 7 author per 10,000 1 dialect per 10,000 till 7 author per 10,000 1 dialect per 10,000 wisna 7 author per 10,000 0 dialect per 10,000 but 7 author per 10,000 42 dialect per 10,000 roon 7 author per 10,000 11 dialect per 10,000 felt 7 author per 10,000 1 dialect per 10,000 micht 7 author per 10,000 6 dialect per 10,000 yer 7 author per 10,000 38 dialect per 10,000 left 7 author per 10,000 4 dialect per 10,000 sut 7 author per 10,000 2 dialect per 10,000 aye 7 author per 10,000 12 dialect per 10,000 spick 7 author per 10,000 0 dialect per 10,000 through 7 author per 10,000 4 dialect per 10,000 €™ 7 author per 10,000 16 dialect per 10,000 €œwe 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 4 dialect per 10,000 things 7 author per 10,000 4 dialect per 10,000 ma 7 author per 10,000 21 dialect per 10,000 mornin 7 author per 10,000 0 dialect per 10,000 do 7 author per 10,000 0 dialect per 10,000 guid 7 author per 10,000 18 dialect per 10,000 eneuch 7 author per 10,000 4 dialect per 10,000 wintit 7 author per 10,000 0 dialect per 10,000 dinna 7 author per 10,000 0 dialect per 10,000 couple 6 author per 10,000 0 dialect per 10,000 door 6 author per 10,000 0 dialect per 10,000 day 6 author per 10,000 15 dialect per 10,000 just 6 author per 10,000 1 dialect per 10,000 erm 6 author per 10,000 0 dialect per 10,000