A Corpus of 21st Century Scots Texts

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Briggs, Susi


Total words by this author in corpus - 2,302
Total unique words used by this author in corpus - 823
Ratio of total words to unique words - 2.797
Top ten most common words - the, and, i, a, tae, she, he, it, in, that,

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 639 author per 10,000 565 dialect per 10,000 and 252 author per 10,000 94 dialect per 10,000 i 213 author per 10,000 39 dialect per 10,000 a 209 author per 10,000 266 dialect per 10,000 tae 187 author per 10,000 211 dialect per 10,000 she 165 author per 10,000 56 dialect per 10,000 he 148 author per 10,000 86 dialect per 10,000 it 148 author per 10,000 116 dialect per 10,000 in 109 author per 10,000 147 dialect per 10,000 that 100 author per 10,000 106 dialect per 10,000 me 96 author per 10,000 40 dialect per 10,000 o 91 author per 10,000 185 dialect per 10,000 ye 91 author per 10,000 62 dialect per 10,000 wis 91 author per 10,000 97 dialect per 10,000 an 87 author per 10,000 225 dialect per 10,000 fer 87 author per 10,000 4 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 67 dialect per 10,000 her 83 author per 10,000 46 dialect per 10,000 his 74 author per 10,000 59 dialect per 10,000 yer 70 author per 10,000 20 dialect per 10,000 prince 70 author per 10,000 2 dialect per 10,000 is 65 author per 10,000 58 dialect per 10,000 aw 65 author per 10,000 39 dialect per 10,000 €™s 61 author per 10,000 32 dialect per 10,000 my 56 author per 10,000 6 dialect per 10,000 but 52 author per 10,000 48 dialect per 10,000 yellow 52 author per 10,000 0 dialect per 10,000 no 52 author per 10,000 36 dialect per 10,000 ma 52 author per 10,000 51 dialect per 10,000 oot 48 author per 10,000 40 dialect per 10,000 at 48 author per 10,000 59 dialect per 10,000 whit 48 author per 10,000 29 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 29 dialect per 10,000 be 43 author per 10,000 48 dialect per 10,000 on 43 author per 10,000 55 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 17 dialect per 10,000 when 39 author per 10,000 18 dialect per 10,000 box 35 author per 10,000 1 dialect per 10,000 oan 35 author per 10,000 20 dialect per 10,000 up 35 author per 10,000 40 dialect per 10,000 weel 35 author per 10,000 10 dialect per 10,000 there 35 author per 10,000 23 dialect per 10,000 rose 35 author per 10,000 0 dialect per 10,000 by 35 author per 10,000 17 dialect per 10,000 they 35 author per 10,000 41 dialect per 10,000 nae 35 author per 10,000 24 dialect per 10,000 mair 35 author per 10,000 20 dialect per 10,000 music 30 author per 10,000 1 dialect per 10,000 ten 30 author per 10,000 2 dialect per 10,000 sae 30 author per 10,000 16 dialect per 10,000 noo 30 author per 10,000 14 dialect per 10,000 i'm 30 author per 10,000 4 dialect per 10,000 intae 30 author per 10,000 18 dialect per 10,000 gie 30 author per 10,000 7 dialect per 10,000 dae 26 author per 10,000 17 dialect per 10,000 jist 26 author per 10,000 20 dialect per 10,000 aye 26 author per 10,000 16 dialect per 10,000 like 26 author per 10,000 28 dialect per 10,000 them 26 author per 10,000 18 dialect per 10,000 aboot 26 author per 10,000 29 dialect per 10,000 hae 26 author per 10,000 23 dialect per 10,000 - 26 author per 10,000 27 dialect per 10,000 efter 26 author per 10,000 10 dialect per 10,000 this 26 author per 10,000 41 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 1 dialect per 10,000 micht 26 author per 10,000 7 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 thocht 26 author per 10,000 8 dialect per 10,000 awa 26 author per 10,000 12 dialect per 10,000 € 26 author per 10,000 22 dialect per 10,000 made 22 author per 10,000 7 dialect per 10,000 bonnie 22 author per 10,000 2 dialect per 10,000 fae 22 author per 10,000 26 dialect per 10,000 royal 22 author per 10,000 1 dialect per 10,000 love 22 author per 10,000 2 dialect per 10,000 had 22 author per 10,000 22 dialect per 10,000 than 22 author per 10,000 10 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 get 22 author per 10,000 14 dialect per 10,000 awfie 22 author per 10,000 2 dialect per 10,000 dinna 22 author per 10,000 4 dialect per 10,000 as 22 author per 10,000 59 dialect per 10,000 whaur 22 author per 10,000 10 dialect per 10,000 siller 22 author per 10,000 3 dialect per 10,000 wha 22 author per 10,000 8 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 8 dialect per 10,000 anither 17 author per 10,000 7 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 33 dialect per 10,000 hoose 17 author per 10,000 7 dialect per 10,000 hairy 17 author per 10,000 0 dialect per 10,000 say 17 author per 10,000 10 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 15 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 real 17 author per 10,000 2 dialect per 10,000 every 17 author per 10,000 2 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 3 dialect per 10,000 him 17 author per 10,000 29 dialect per 10,000 you 17 author per 10,000 15 dialect per 10,000 pit 17 author per 10,000 9 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 8 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 12 dialect per 10,000 echt 17 author per 10,000 0 dialect per 10,000 shed 17 author per 10,000 0 dialect per 10,000 heard 17 author per 10,000 4 dialect per 10,000 care 17 author per 10,000 1 dialect per 10,000 lookin 17 author per 10,000 3 dialect per 10,000 yin 17 author per 10,000 10 dialect per 10,000 will 17 author per 10,000 10 dialect per 10,000 it's 13 author per 10,000 17 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 1 dialect per 10,000 hissel 13 author per 10,000 2 dialect per 10,000 saw 13 author per 10,000 4 dialect per 10,000 she's 13 author per 10,000 4 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 0 dialect per 10,000 na 13 author per 10,000 1 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 4 dialect per 10,000 white 13 author per 10,000 3 dialect per 10,000 tak 13 author per 10,000 8 dialect per 10,000 says 13 author per 10,000 7 dialect per 10,000 auld 13 author per 10,000 14 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 twa 13 author per 10,000 10 dialect per 10,000 wull 13 author per 10,000 2 dialect per 10,000 man 13 author per 10,000 11 dialect per 10,000 hert 13 author per 10,000 3 dialect per 10,000 doon 13 author per 10,000 18 dialect per 10,000 €™ll 13 author per 10,000 4 dialect per 10,000 playin 13 author per 10,000 1 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 8 dialect per 10,000 wey 13 author per 10,000 12 dialect per 10,000 feart 13 author per 10,000 2 dialect per 10,000 bush 13 author per 10,000 0 dialect per 10,000 fash 13 author per 10,000 1 dialect per 10,000 flooer 13 author per 10,000 0 dialect per 10,000 lines 13 author per 10,000 1 dialect per 10,000 back 13 author per 10,000 20 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 4 dialect per 10,000 ither 13 author per 10,000 11 dialect per 10,000 singin 13 author per 10,000 1 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 10 dialect per 10,000 are 13 author per 10,000 17 dialect per 10,000 look 13 author per 10,000 5 dialect per 10,000 got 13 author per 10,000 11 dialect per 10,000 said 13 author per 10,000 40 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 1 dialect per 10,000 dochter 13 author per 10,000 1 dialect per 10,000 things 13 author per 10,000 5 dialect per 10,000 aince 13 author per 10,000 2 dialect per 10,000 or 13 author per 10,000 29 dialect per 10,000 sang 13 author per 10,000 2 dialect per 10,000 gied 13 author per 10,000 5 dialect per 10,000 so 13 author per 10,000 10 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 2 dialect per 10,000 was 9 author per 10,000 7 dialect per 10,000 comes 9 author per 10,000 3 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 2 dialect per 10,000 mak 9 author per 10,000 8 dialect per 10,000 gaed 9 author per 10,000 5 dialect per 10,000 cos 9 author per 10,000 1 dialect per 10,000 worse 9 author per 10,000 1 dialect per 10,000 prood 9 author per 10,000 1 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 2 dialect per 10,000 am 9 author per 10,000 3 dialect per 10,000 mornin 9 author per 10,000 3 dialect per 10,000 better 9 author per 10,000 5 dialect per 10,000 else 9 author per 10,000 3 dialect per 10,000 could 9 author per 10,000 9 dialect per 10,000 may 9 author per 10,000 1 dialect per 10,000 hame 9 author per 10,000 6 dialect per 10,000 ony 9 author per 10,000 7 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000 		Doric
the 639 author per 10,000 452 dialect per 10,000 and 252 author per 10,000 41 dialect per 10,000 i 213 author per 10,000 68 dialect per 10,000 a 209 author per 10,000 315 dialect per 10,000 tae 187 author per 10,000 171 dialect per 10,000 she 165 author per 10,000 66 dialect per 10,000 he 148 author per 10,000 96 dialect per 10,000 it 148 author per 10,000 99 dialect per 10,000 in 109 author per 10,000 130 dialect per 10,000 that 100 author per 10,000 53 dialect per 10,000 me 96 author per 10,000 32 dialect per 10,000 o 91 author per 10,000 176 dialect per 10,000 ye 91 author per 10,000 93 dialect per 10,000 wis 91 author per 10,000 105 dialect per 10,000 an 87 author per 10,000 306 dialect per 10,000 fer 87 author per 10,000 3 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 77 dialect per 10,000 her 83 author per 10,000 64 dialect per 10,000 his 74 author per 10,000 69 dialect per 10,000 yer 70 author per 10,000 35 dialect per 10,000 prince 70 author per 10,000 1 dialect per 10,000 is 65 author per 10,000 39 dialect per 10,000 aw 65 author per 10,000 4 dialect per 10,000 €™s 61 author per 10,000 21 dialect per 10,000 my 56 author per 10,000 11 dialect per 10,000 but 52 author per 10,000 25 dialect per 10,000 yellow 52 author per 10,000 0 dialect per 10,000 no 52 author per 10,000 7 dialect per 10,000 ma 52 author per 10,000 50 dialect per 10,000 oot 48 author per 10,000 50 dialect per 10,000 at 48 author per 10,000 68 dialect per 10,000 whit 48 author per 10,000 2 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 18 dialect per 10,000 be 43 author per 10,000 45 dialect per 10,000 on 43 author per 10,000 67 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 16 dialect per 10,000 when 39 author per 10,000 3 dialect per 10,000 box 35 author per 10,000 1 dialect per 10,000 oan 35 author per 10,000 8 dialect per 10,000 up 35 author per 10,000 47 dialect per 10,000 weel 35 author per 10,000 19 dialect per 10,000 there 35 author per 10,000 22 dialect per 10,000 rose 35 author per 10,000 1 dialect per 10,000 by 35 author per 10,000 9 dialect per 10,000 they 35 author per 10,000 36 dialect per 10,000 nae 35 author per 10,000 50 dialect per 10,000 mair 35 author per 10,000 17 dialect per 10,000 music 30 author per 10,000 1 dialect per 10,000 ten 30 author per 10,000 3 dialect per 10,000 sae 30 author per 10,000 14 dialect per 10,000 noo 30 author per 10,000 23 dialect per 10,000 i'm 30 author per 10,000 8 dialect per 10,000 intae 30 author per 10,000 10 dialect per 10,000 gie 30 author per 10,000 7 dialect per 10,000 dae 26 author per 10,000 5 dialect per 10,000 jist 26 author per 10,000 36 dialect per 10,000 aye 26 author per 10,000 22 dialect per 10,000 like 26 author per 10,000 37 dialect per 10,000 them 26 author per 10,000 23 dialect per 10,000 aboot 26 author per 10,000 33 dialect per 10,000 hae 26 author per 10,000 20 dialect per 10,000 - 26 author per 10,000 28 dialect per 10,000 efter 26 author per 10,000 10 dialect per 10,000 this 26 author per 10,000 19 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 1 dialect per 10,000 micht 26 author per 10,000 6 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 9 dialect per 10,000 thocht 26 author per 10,000 14 dialect per 10,000 awa 26 author per 10,000 21 dialect per 10,000 € 26 author per 10,000 16 dialect per 10,000 made 22 author per 10,000 8 dialect per 10,000 bonnie 22 author per 10,000 4 dialect per 10,000 fae 22 author per 10,000 30 dialect per 10,000 royal 22 author per 10,000 0 dialect per 10,000 love 22 author per 10,000 3 dialect per 10,000 had 22 author per 10,000 4 dialect per 10,000 than 22 author per 10,000 8 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 19 dialect per 10,000 get 22 author per 10,000 16 dialect per 10,000 awfie 22 author per 10,000 0 dialect per 10,000 dinna 22 author per 10,000 16 dialect per 10,000 as 22 author per 10,000 52 dialect per 10,000 whaur 22 author per 10,000 1 dialect per 10,000 siller 22 author per 10,000 4 dialect per 10,000 wha 22 author per 10,000 1 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 18 dialect per 10,000 anither 17 author per 10,000 8 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 33 dialect per 10,000 hoose 17 author per 10,000 10 dialect per 10,000 hairy 17 author per 10,000 1 dialect per 10,000 say 17 author per 10,000 14 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 13 dialect per 10,000 see 17 author per 10,000 21 dialect per 10,000 real 17 author per 10,000 2 dialect per 10,000 every 17 author per 10,000 1 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 1 dialect per 10,000 him 17 author per 10,000 30 dialect per 10,000 you 17 author per 10,000 17 dialect per 10,000 pit 17 author per 10,000 9 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 6 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 19 dialect per 10,000 echt 17 author per 10,000 1 dialect per 10,000 shed 17 author per 10,000 1 dialect per 10,000 heard 17 author per 10,000 4 dialect per 10,000 care 17 author per 10,000 2 dialect per 10,000 lookin 17 author per 10,000 3 dialect per 10,000 yin 17 author per 10,000 2 dialect per 10,000 will 17 author per 10,000 9 dialect per 10,000 it's 13 author per 10,000 19 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 1 dialect per 10,000 hissel 13 author per 10,000 1 dialect per 10,000 saw 13 author per 10,000 3 dialect per 10,000 she's 13 author per 10,000 4 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 0 dialect per 10,000 na 13 author per 10,000 6 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 2 dialect per 10,000 white 13 author per 10,000 1 dialect per 10,000 tak 13 author per 10,000 11 dialect per 10,000 says 13 author per 10,000 10 dialect per 10,000 auld 13 author per 10,000 8 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 twa 13 author per 10,000 18 dialect per 10,000 wull 13 author per 10,000 3 dialect per 10,000 man 13 author per 10,000 7 dialect per 10,000 hert 13 author per 10,000 1 dialect per 10,000 doon 13 author per 10,000 33 dialect per 10,000 €™ll 13 author per 10,000 4 dialect per 10,000 playin 13 author per 10,000 1 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 1 dialect per 10,000 cam 13 author per 10,000 12 dialect per 10,000 wey 13 author per 10,000 3 dialect per 10,000 feart 13 author per 10,000 2 dialect per 10,000 bush 13 author per 10,000 0 dialect per 10,000 fash 13 author per 10,000 0 dialect per 10,000 flooer 13 author per 10,000 1 dialect per 10,000 lines 13 author per 10,000 0 dialect per 10,000 back 13 author per 10,000 21 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 0 dialect per 10,000 ither 13 author per 10,000 8 dialect per 10,000 singin 13 author per 10,000 1 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 10 dialect per 10,000 are 13 author per 10,000 13 dialect per 10,000 look 13 author per 10,000 7 dialect per 10,000 got 13 author per 10,000 14 dialect per 10,000 said 13 author per 10,000 36 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 1 dialect per 10,000 dochter 13 author per 10,000 0 dialect per 10,000 things 13 author per 10,000 6 dialect per 10,000 aince 13 author per 10,000 1 dialect per 10,000 or 13 author per 10,000 26 dialect per 10,000 sang 13 author per 10,000 1 dialect per 10,000 gied 13 author per 10,000 5 dialect per 10,000 so 13 author per 10,000 17 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 10 dialect per 10,000 comes 9 author per 10,000 4 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 3 dialect per 10,000 mak 9 author per 10,000 9 dialect per 10,000 gaed 9 author per 10,000 8 dialect per 10,000 cos 9 author per 10,000 1 dialect per 10,000 worse 9 author per 10,000 1 dialect per 10,000 prood 9 author per 10,000 1 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 2 dialect per 10,000 am 9 author per 10,000 4 dialect per 10,000 mornin 9 author per 10,000 6 dialect per 10,000 better 9 author per 10,000 6 dialect per 10,000 else 9 author per 10,000 2 dialect per 10,000 could 9 author per 10,000 8 dialect per 10,000 may 9 author per 10,000 1 dialect per 10,000 hame 9 author per 10,000 11 dialect per 10,000 ony 9 author per 10,000 8 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000
Shetland
the 639 author per 10,000 18 dialect per 10,000 and 252 author per 10,000 15 dialect per 10,000 i 213 author per 10,000 143 dialect per 10,000 a 209 author per 10,000 280 dialect per 10,000 tae 187 author per 10,000 86 dialect per 10,000 she 165 author per 10,000 7 dialect per 10,000 he 148 author per 10,000 103 dialect per 10,000 it 148 author per 10,000 58 dialect per 10,000 in 109 author per 10,000 105 dialect per 10,000 that 100 author per 10,000 4 dialect per 10,000 me 96 author per 10,000 41 dialect per 10,000 o 91 author per 10,000 177 dialect per 10,000 ye 91 author per 10,000 0 dialect per 10,000 wis 91 author per 10,000 162 dialect per 10,000 an 87 author per 10,000 330 dialect per 10,000 fer 87 author per 10,000 0 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 95 dialect per 10,000 her 83 author per 10,000 64 dialect per 10,000 his 74 author per 10,000 52 dialect per 10,000 yer 70 author per 10,000 0 dialect per 10,000 prince 70 author per 10,000 0 dialect per 10,000 is 65 author per 10,000 81 dialect per 10,000 aw 65 author per 10,000 0 dialect per 10,000 €™s 61 author per 10,000 15 dialect per 10,000 my 56 author per 10,000 23 dialect per 10,000 but 52 author per 10,000 29 dialect per 10,000 yellow 52 author per 10,000 0 dialect per 10,000 no 52 author per 10,000 35 dialect per 10,000 ma 52 author per 10,000 0 dialect per 10,000 oot 48 author per 10,000 42 dialect per 10,000 at 48 author per 10,000 112 dialect per 10,000 whit 48 author per 10,000 39 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 56 dialect per 10,000 on 43 author per 10,000 52 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 25 dialect per 10,000 when 39 author per 10,000 5 dialect per 10,000 box 35 author per 10,000 2 dialect per 10,000 oan 35 author per 10,000 0 dialect per 10,000 up 35 author per 10,000 42 dialect per 10,000 weel 35 author per 10,000 18 dialect per 10,000 there 35 author per 10,000 1 dialect per 10,000 rose 35 author per 10,000 0 dialect per 10,000 by 35 author per 10,000 7 dialect per 10,000 they 35 author per 10,000 2 dialect per 10,000 nae 35 author per 10,000 23 dialect per 10,000 mair 35 author per 10,000 19 dialect per 10,000 music 30 author per 10,000 1 dialect per 10,000 ten 30 author per 10,000 1 dialect per 10,000 sae 30 author per 10,000 8 dialect per 10,000 noo 30 author per 10,000 19 dialect per 10,000 i'm 30 author per 10,000 2 dialect per 10,000 intae 30 author per 10,000 8 dialect per 10,000 gie 30 author per 10,000 9 dialect per 10,000 dae 26 author per 10,000 2 dialect per 10,000 jist 26 author per 10,000 0 dialect per 10,000 aye 26 author per 10,000 11 dialect per 10,000 like 26 author per 10,000 2 dialect per 10,000 them 26 author per 10,000 1 dialect per 10,000 aboot 26 author per 10,000 41 dialect per 10,000 hae 26 author per 10,000 25 dialect per 10,000 - 26 author per 10,000 53 dialect per 10,000 efter 26 author per 10,000 9 dialect per 10,000 this 26 author per 10,000 1 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 1 dialect per 10,000 micht 26 author per 10,000 4 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 1 dialect per 10,000 thocht 26 author per 10,000 0 dialect per 10,000 awa 26 author per 10,000 13 dialect per 10,000 € 26 author per 10,000 17 dialect per 10,000 made 22 author per 10,000 1 dialect per 10,000 bonnie 22 author per 10,000 0 dialect per 10,000 fae 22 author per 10,000 40 dialect per 10,000 royal 22 author per 10,000 0 dialect per 10,000 love 22 author per 10,000 4 dialect per 10,000 had 22 author per 10,000 2 dialect per 10,000 than 22 author per 10,000 0 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 21 dialect per 10,000 get 22 author per 10,000 6 dialect per 10,000 awfie 22 author per 10,000 0 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 as 22 author per 10,000 79 dialect per 10,000 whaur 22 author per 10,000 0 dialect per 10,000 siller 22 author per 10,000 1 dialect per 10,000 wha 22 author per 10,000 5 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 38 dialect per 10,000 anither 17 author per 10,000 0 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 44 dialect per 10,000 hoose 17 author per 10,000 8 dialect per 10,000 hairy 17 author per 10,000 0 dialect per 10,000 say 17 author per 10,000 11 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 3 dialect per 10,000 see 17 author per 10,000 20 dialect per 10,000 real 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 5 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 3 dialect per 10,000 him 17 author per 10,000 47 dialect per 10,000 you 17 author per 10,000 51 dialect per 10,000 pit 17 author per 10,000 6 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 9 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 13 dialect per 10,000 echt 17 author per 10,000 0 dialect per 10,000 shed 17 author per 10,000 0 dialect per 10,000 heard 17 author per 10,000 6 dialect per 10,000 care 17 author per 10,000 3 dialect per 10,000 lookin 17 author per 10,000 4 dialect per 10,000 yin 17 author per 10,000 0 dialect per 10,000 will 17 author per 10,000 9 dialect per 10,000 it's 13 author per 10,000 8 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 1 dialect per 10,000 hissel 13 author per 10,000 0 dialect per 10,000 saw 13 author per 10,000 1 dialect per 10,000 she's 13 author per 10,000 0 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 0 dialect per 10,000 na 13 author per 10,000 4 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 2 dialect per 10,000 white 13 author per 10,000 5 dialect per 10,000 tak 13 author per 10,000 12 dialect per 10,000 says 13 author per 10,000 5 dialect per 10,000 auld 13 author per 10,000 1 dialect per 10,000 really 13 author per 10,000 2 dialect per 10,000 twa 13 author per 10,000 13 dialect per 10,000 wull 13 author per 10,000 0 dialect per 10,000 man 13 author per 10,000 17 dialect per 10,000 hert 13 author per 10,000 3 dialect per 10,000 doon 13 author per 10,000 22 dialect per 10,000 €™ll 13 author per 10,000 5 dialect per 10,000 playin 13 author per 10,000 1 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 22 dialect per 10,000 wey 13 author per 10,000 0 dialect per 10,000 feart 13 author per 10,000 0 dialect per 10,000 bush 13 author per 10,000 0 dialect per 10,000 fash 13 author per 10,000 0 dialect per 10,000 flooer 13 author per 10,000 1 dialect per 10,000 lines 13 author per 10,000 0 dialect per 10,000 back 13 author per 10,000 18 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 0 dialect per 10,000 ither 13 author per 10,000 0 dialect per 10,000 singin 13 author per 10,000 1 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 12 dialect per 10,000 are 13 author per 10,000 2 dialect per 10,000 look 13 author per 10,000 6 dialect per 10,000 got 13 author per 10,000 8 dialect per 10,000 said 13 author per 10,000 61 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 0 dialect per 10,000 dochter 13 author per 10,000 1 dialect per 10,000 things 13 author per 10,000 7 dialect per 10,000 aince 13 author per 10,000 0 dialect per 10,000 or 13 author per 10,000 32 dialect per 10,000 sang 13 author per 10,000 2 dialect per 10,000 gied 13 author per 10,000 8 dialect per 10,000 so 13 author per 10,000 26 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 3 dialect per 10,000 comes 9 author per 10,000 5 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 1 dialect per 10,000 mak 9 author per 10,000 12 dialect per 10,000 gaed 9 author per 10,000 0 dialect per 10,000 cos 9 author per 10,000 0 dialect per 10,000 worse 9 author per 10,000 0 dialect per 10,000 prood 9 author per 10,000 2 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 1 dialect per 10,000 am 9 author per 10,000 4 dialect per 10,000 mornin 9 author per 10,000 0 dialect per 10,000 better 9 author per 10,000 7 dialect per 10,000 else 9 author per 10,000 1 dialect per 10,000 could 9 author per 10,000 12 dialect per 10,000 may 9 author per 10,000 1 dialect per 10,000 hame 9 author per 10,000 7 dialect per 10,000 ony 9 author per 10,000 13 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000 		Orkney
the 639 author per 10,000 582 dialect per 10,000 and 252 author per 10,000 199 dialect per 10,000 i 213 author per 10,000 158 dialect per 10,000 a 209 author per 10,000 298 dialect per 10,000 tae 187 author per 10,000 223 dialect per 10,000 she 165 author per 10,000 9 dialect per 10,000 he 148 author per 10,000 85 dialect per 10,000 it 148 author per 10,000 23 dialect per 10,000 in 109 author per 10,000 146 dialect per 10,000 that 100 author per 10,000 75 dialect per 10,000 me 96 author per 10,000 115 dialect per 10,000 o 91 author per 10,000 202 dialect per 10,000 ye 91 author per 10,000 17 dialect per 10,000 wis 91 author per 10,000 80 dialect per 10,000 an 87 author per 10,000 172 dialect per 10,000 fer 87 author per 10,000 11 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 46 dialect per 10,000 her 83 author per 10,000 49 dialect per 10,000 his 74 author per 10,000 61 dialect per 10,000 yer 70 author per 10,000 7 dialect per 10,000 prince 70 author per 10,000 0 dialect per 10,000 is 65 author per 10,000 71 dialect per 10,000 aw 65 author per 10,000 0 dialect per 10,000 €™s 61 author per 10,000 17 dialect per 10,000 my 56 author per 10,000 5 dialect per 10,000 but 52 author per 10,000 28 dialect per 10,000 yellow 52 author per 10,000 1 dialect per 10,000 no 52 author per 10,000 58 dialect per 10,000 ma 52 author per 10,000 1 dialect per 10,000 oot 48 author per 10,000 50 dialect per 10,000 at 48 author per 10,000 54 dialect per 10,000 whit 48 author per 10,000 29 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 1 dialect per 10,000 be 43 author per 10,000 42 dialect per 10,000 on 43 author per 10,000 73 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 15 dialect per 10,000 when 39 author per 10,000 23 dialect per 10,000 box 35 author per 10,000 2 dialect per 10,000 oan 35 author per 10,000 10 dialect per 10,000 up 35 author per 10,000 34 dialect per 10,000 weel 35 author per 10,000 17 dialect per 10,000 there 35 author per 10,000 18 dialect per 10,000 rose 35 author per 10,000 1 dialect per 10,000 by 35 author per 10,000 16 dialect per 10,000 they 35 author per 10,000 37 dialect per 10,000 nae 35 author per 10,000 3 dialect per 10,000 mair 35 author per 10,000 1 dialect per 10,000 music 30 author per 10,000 2 dialect per 10,000 ten 30 author per 10,000 2 dialect per 10,000 sae 30 author per 10,000 1 dialect per 10,000 noo 30 author per 10,000 27 dialect per 10,000 i'm 30 author per 10,000 1 dialect per 10,000 intae 30 author per 10,000 18 dialect per 10,000 gie 30 author per 10,000 2 dialect per 10,000 dae 26 author per 10,000 10 dialect per 10,000 jist 26 author per 10,000 3 dialect per 10,000 aye 26 author per 10,000 9 dialect per 10,000 like 26 author per 10,000 31 dialect per 10,000 them 26 author per 10,000 18 dialect per 10,000 aboot 26 author per 10,000 26 dialect per 10,000 hae 26 author per 10,000 11 dialect per 10,000 - 26 author per 10,000 76 dialect per 10,000 efter 26 author per 10,000 6 dialect per 10,000 this 26 author per 10,000 34 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 0 dialect per 10,000 micht 26 author per 10,000 0 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 1 dialect per 10,000 then 26 author per 10,000 18 dialect per 10,000 thocht 26 author per 10,000 0 dialect per 10,000 awa 26 author per 10,000 1 dialect per 10,000 € 26 author per 10,000 5 dialect per 10,000 made 22 author per 10,000 3 dialect per 10,000 bonnie 22 author per 10,000 2 dialect per 10,000 fae 22 author per 10,000 39 dialect per 10,000 royal 22 author per 10,000 0 dialect per 10,000 love 22 author per 10,000 5 dialect per 10,000 had 22 author per 10,000 3 dialect per 10,000 than 22 author per 10,000 12 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 get 22 author per 10,000 9 dialect per 10,000 awfie 22 author per 10,000 0 dialect per 10,000 dinna 22 author per 10,000 4 dialect per 10,000 as 22 author per 10,000 48 dialect per 10,000 whaur 22 author per 10,000 1 dialect per 10,000 siller 22 author per 10,000 1 dialect per 10,000 wha 22 author per 10,000 4 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 20 dialect per 10,000 anither 17 author per 10,000 8 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 29 dialect per 10,000 hoose 17 author per 10,000 11 dialect per 10,000 hairy 17 author per 10,000 0 dialect per 10,000 say 17 author per 10,000 10 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 6 dialect per 10,000 see 17 author per 10,000 17 dialect per 10,000 real 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 4 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 10 dialect per 10,000 him 17 author per 10,000 21 dialect per 10,000 you 17 author per 10,000 35 dialect per 10,000 pit 17 author per 10,000 5 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 12 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 0 dialect per 10,000 echt 17 author per 10,000 0 dialect per 10,000 shed 17 author per 10,000 2 dialect per 10,000 heard 17 author per 10,000 3 dialect per 10,000 care 17 author per 10,000 2 dialect per 10,000 lookin 17 author per 10,000 0 dialect per 10,000 yin 17 author per 10,000 2 dialect per 10,000 will 17 author per 10,000 12 dialect per 10,000 it's 13 author per 10,000 4 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 1 dialect per 10,000 hissel 13 author per 10,000 0 dialect per 10,000 saw 13 author per 10,000 1 dialect per 10,000 she's 13 author per 10,000 1 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 1 dialect per 10,000 na 13 author per 10,000 1 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 1 dialect per 10,000 white 13 author per 10,000 5 dialect per 10,000 tak 13 author per 10,000 12 dialect per 10,000 says 13 author per 10,000 15 dialect per 10,000 auld 13 author per 10,000 1 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 twa 13 author per 10,000 10 dialect per 10,000 wull 13 author per 10,000 0 dialect per 10,000 man 13 author per 10,000 12 dialect per 10,000 hert 13 author per 10,000 5 dialect per 10,000 doon 13 author per 10,000 28 dialect per 10,000 €™ll 13 author per 10,000 2 dialect per 10,000 playin 13 author per 10,000 0 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 1 dialect per 10,000 cam 13 author per 10,000 8 dialect per 10,000 wey 13 author per 10,000 10 dialect per 10,000 feart 13 author per 10,000 1 dialect per 10,000 bush 13 author per 10,000 0 dialect per 10,000 fash 13 author per 10,000 0 dialect per 10,000 flooer 13 author per 10,000 1 dialect per 10,000 lines 13 author per 10,000 1 dialect per 10,000 back 13 author per 10,000 26 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 0 dialect per 10,000 ither 13 author per 10,000 9 dialect per 10,000 singin 13 author per 10,000 0 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 6 dialect per 10,000 are 13 author per 10,000 14 dialect per 10,000 look 13 author per 10,000 1 dialect per 10,000 got 13 author per 10,000 11 dialect per 10,000 said 13 author per 10,000 15 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 0 dialect per 10,000 dochter 13 author per 10,000 0 dialect per 10,000 things 13 author per 10,000 9 dialect per 10,000 aince 13 author per 10,000 0 dialect per 10,000 or 13 author per 10,000 30 dialect per 10,000 sang 13 author per 10,000 1 dialect per 10,000 gied 13 author per 10,000 2 dialect per 10,000 so 13 author per 10,000 30 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 0 dialect per 10,000 was 9 author per 10,000 2 dialect per 10,000 comes 9 author per 10,000 5 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 3 dialect per 10,000 mak 9 author per 10,000 9 dialect per 10,000 gaed 9 author per 10,000 9 dialect per 10,000 cos 9 author per 10,000 0 dialect per 10,000 worse 9 author per 10,000 0 dialect per 10,000 prood 9 author per 10,000 2 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 4 dialect per 10,000 am 9 author per 10,000 6 dialect per 10,000 mornin 9 author per 10,000 0 dialect per 10,000 better 9 author per 10,000 6 dialect per 10,000 else 9 author per 10,000 2 dialect per 10,000 could 9 author per 10,000 13 dialect per 10,000 may 9 author per 10,000 1 dialect per 10,000 hame 9 author per 10,000 1 dialect per 10,000 ony 9 author per 10,000 2 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000
Southern
the 639 author per 10,000 449 dialect per 10,000 and 252 author per 10,000 33 dialect per 10,000 i 213 author per 10,000 74 dialect per 10,000 a 209 author per 10,000 230 dialect per 10,000 tae 187 author per 10,000 206 dialect per 10,000 she 165 author per 10,000 91 dialect per 10,000 he 148 author per 10,000 12 dialect per 10,000 it 148 author per 10,000 63 dialect per 10,000 in 109 author per 10,000 107 dialect per 10,000 that 100 author per 10,000 65 dialect per 10,000 me 96 author per 10,000 16 dialect per 10,000 o 91 author per 10,000 200 dialect per 10,000 ye 91 author per 10,000 21 dialect per 10,000 wis 91 author per 10,000 54 dialect per 10,000 an 87 author per 10,000 289 dialect per 10,000 fer 87 author per 10,000 2 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 66 dialect per 10,000 her 83 author per 10,000 17 dialect per 10,000 his 74 author per 10,000 37 dialect per 10,000 yer 70 author per 10,000 17 dialect per 10,000 prince 70 author per 10,000 0 dialect per 10,000 is 65 author per 10,000 62 dialect per 10,000 aw 65 author per 10,000 32 dialect per 10,000 €™s 61 author per 10,000 34 dialect per 10,000 my 56 author per 10,000 1 dialect per 10,000 but 52 author per 10,000 42 dialect per 10,000 yellow 52 author per 10,000 0 dialect per 10,000 no 52 author per 10,000 28 dialect per 10,000 ma 52 author per 10,000 59 dialect per 10,000 oot 48 author per 10,000 34 dialect per 10,000 at 48 author per 10,000 69 dialect per 10,000 whit 48 author per 10,000 30 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 23 dialect per 10,000 be 43 author per 10,000 13 dialect per 10,000 on 43 author per 10,000 55 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 17 dialect per 10,000 when 39 author per 10,000 16 dialect per 10,000 box 35 author per 10,000 1 dialect per 10,000 oan 35 author per 10,000 33 dialect per 10,000 up 35 author per 10,000 41 dialect per 10,000 weel 35 author per 10,000 4 dialect per 10,000 there 35 author per 10,000 16 dialect per 10,000 rose 35 author per 10,000 1 dialect per 10,000 by 35 author per 10,000 5 dialect per 10,000 they 35 author per 10,000 31 dialect per 10,000 nae 35 author per 10,000 25 dialect per 10,000 mair 35 author per 10,000 16 dialect per 10,000 music 30 author per 10,000 1 dialect per 10,000 ten 30 author per 10,000 2 dialect per 10,000 sae 30 author per 10,000 28 dialect per 10,000 noo 30 author per 10,000 16 dialect per 10,000 i'm 30 author per 10,000 1 dialect per 10,000 intae 30 author per 10,000 10 dialect per 10,000 gie 30 author per 10,000 14 dialect per 10,000 dae 26 author per 10,000 14 dialect per 10,000 jist 26 author per 10,000 11 dialect per 10,000 aye 26 author per 10,000 11 dialect per 10,000 like 26 author per 10,000 8 dialect per 10,000 them 26 author per 10,000 5 dialect per 10,000 aboot 26 author per 10,000 29 dialect per 10,000 hae 26 author per 10,000 35 dialect per 10,000 - 26 author per 10,000 29 dialect per 10,000 efter 26 author per 10,000 13 dialect per 10,000 this 26 author per 10,000 35 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 1 dialect per 10,000 micht 26 author per 10,000 9 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 thocht 26 author per 10,000 13 dialect per 10,000 awa 26 author per 10,000 14 dialect per 10,000 € 26 author per 10,000 14 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 bonnie 22 author per 10,000 2 dialect per 10,000 fae 22 author per 10,000 0 dialect per 10,000 royal 22 author per 10,000 1 dialect per 10,000 love 22 author per 10,000 1 dialect per 10,000 had 22 author per 10,000 0 dialect per 10,000 than 22 author per 10,000 8 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 14 dialect per 10,000 get 22 author per 10,000 10 dialect per 10,000 awfie 22 author per 10,000 0 dialect per 10,000 dinna 22 author per 10,000 2 dialect per 10,000 as 22 author per 10,000 50 dialect per 10,000 whaur 22 author per 10,000 7 dialect per 10,000 siller 22 author per 10,000 1 dialect per 10,000 wha 22 author per 10,000 1 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 1 dialect per 10,000 anither 17 author per 10,000 7 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 10 dialect per 10,000 hoose 17 author per 10,000 20 dialect per 10,000 hairy 17 author per 10,000 0 dialect per 10,000 say 17 author per 10,000 17 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 15 dialect per 10,000 see 17 author per 10,000 5 dialect per 10,000 real 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 2 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 3 dialect per 10,000 him 17 author per 10,000 11 dialect per 10,000 you 17 author per 10,000 3 dialect per 10,000 pit 17 author per 10,000 2 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 7 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 18 dialect per 10,000 echt 17 author per 10,000 0 dialect per 10,000 shed 17 author per 10,000 1 dialect per 10,000 heard 17 author per 10,000 6 dialect per 10,000 care 17 author per 10,000 1 dialect per 10,000 lookin 17 author per 10,000 4 dialect per 10,000 yin 17 author per 10,000 22 dialect per 10,000 will 17 author per 10,000 3 dialect per 10,000 it's 13 author per 10,000 8 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 2 dialect per 10,000 hissel 13 author per 10,000 0 dialect per 10,000 saw 13 author per 10,000 3 dialect per 10,000 she's 13 author per 10,000 1 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 0 dialect per 10,000 na 13 author per 10,000 1 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 2 dialect per 10,000 white 13 author per 10,000 6 dialect per 10,000 tak 13 author per 10,000 9 dialect per 10,000 says 13 author per 10,000 3 dialect per 10,000 auld 13 author per 10,000 22 dialect per 10,000 really 13 author per 10,000 2 dialect per 10,000 twa 13 author per 10,000 2 dialect per 10,000 wull 13 author per 10,000 10 dialect per 10,000 man 13 author per 10,000 7 dialect per 10,000 hert 13 author per 10,000 4 dialect per 10,000 doon 13 author per 10,000 24 dialect per 10,000 €™ll 13 author per 10,000 2 dialect per 10,000 playin 13 author per 10,000 1 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 3 dialect per 10,000 wey 13 author per 10,000 3 dialect per 10,000 feart 13 author per 10,000 1 dialect per 10,000 bush 13 author per 10,000 1 dialect per 10,000 fash 13 author per 10,000 1 dialect per 10,000 flooer 13 author per 10,000 0 dialect per 10,000 lines 13 author per 10,000 0 dialect per 10,000 back 13 author per 10,000 19 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 5 dialect per 10,000 ither 13 author per 10,000 12 dialect per 10,000 singin 13 author per 10,000 1 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 6 dialect per 10,000 are 13 author per 10,000 9 dialect per 10,000 look 13 author per 10,000 4 dialect per 10,000 got 13 author per 10,000 10 dialect per 10,000 said 13 author per 10,000 65 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 1 dialect per 10,000 dochter 13 author per 10,000 1 dialect per 10,000 things 13 author per 10,000 2 dialect per 10,000 aince 13 author per 10,000 3 dialect per 10,000 or 13 author per 10,000 22 dialect per 10,000 sang 13 author per 10,000 1 dialect per 10,000 gied 13 author per 10,000 1 dialect per 10,000 so 13 author per 10,000 3 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 1 dialect per 10,000 was 9 author per 10,000 58 dialect per 10,000 comes 9 author per 10,000 2 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 0 dialect per 10,000 mak 9 author per 10,000 7 dialect per 10,000 gaed 9 author per 10,000 7 dialect per 10,000 cos 9 author per 10,000 2 dialect per 10,000 worse 9 author per 10,000 1 dialect per 10,000 prood 9 author per 10,000 0 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 1 dialect per 10,000 am 9 author per 10,000 2 dialect per 10,000 mornin 9 author per 10,000 2 dialect per 10,000 better 9 author per 10,000 4 dialect per 10,000 else 9 author per 10,000 2 dialect per 10,000 could 9 author per 10,000 13 dialect per 10,000 may 9 author per 10,000 2 dialect per 10,000 hame 9 author per 10,000 8 dialect per 10,000 ony 9 author per 10,000 7 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000 		Ulster
the 639 author per 10,000 345 dialect per 10,000 and 252 author per 10,000 10 dialect per 10,000 i 213 author per 10,000 16 dialect per 10,000 a 209 author per 10,000 287 dialect per 10,000 tae 187 author per 10,000 253 dialect per 10,000 she 165 author per 10,000 31 dialect per 10,000 he 148 author per 10,000 62 dialect per 10,000 it 148 author per 10,000 73 dialect per 10,000 in 109 author per 10,000 121 dialect per 10,000 that 100 author per 10,000 71 dialect per 10,000 me 96 author per 10,000 24 dialect per 10,000 o 91 author per 10,000 208 dialect per 10,000 ye 91 author per 10,000 79 dialect per 10,000 wis 91 author per 10,000 1 dialect per 10,000 an 87 author per 10,000 358 dialect per 10,000 fer 87 author per 10,000 31 dialect per 10,000 princess 83 author per 10,000 0 dialect per 10,000 wi 83 author per 10,000 63 dialect per 10,000 her 83 author per 10,000 8 dialect per 10,000 his 74 author per 10,000 25 dialect per 10,000 yer 70 author per 10,000 37 dialect per 10,000 prince 70 author per 10,000 0 dialect per 10,000 is 65 author per 10,000 18 dialect per 10,000 aw 65 author per 10,000 1 dialect per 10,000 €™s 61 author per 10,000 11 dialect per 10,000 my 56 author per 10,000 2 dialect per 10,000 but 52 author per 10,000 41 dialect per 10,000 yellow 52 author per 10,000 0 dialect per 10,000 no 52 author per 10,000 22 dialect per 10,000 ma 52 author per 10,000 23 dialect per 10,000 oot 48 author per 10,000 49 dialect per 10,000 at 48 author per 10,000 58 dialect per 10,000 whit 48 author per 10,000 1 dialect per 10,000 grumphieman 48 author per 10,000 0 dialect per 10,000 wee 43 author per 10,000 27 dialect per 10,000 be 43 author per 10,000 39 dialect per 10,000 on 43 author per 10,000 57 dialect per 10,000 kisses 39 author per 10,000 0 dialect per 10,000 if 39 author per 10,000 14 dialect per 10,000 when 39 author per 10,000 2 dialect per 10,000 box 35 author per 10,000 2 dialect per 10,000 oan 35 author per 10,000 18 dialect per 10,000 up 35 author per 10,000 32 dialect per 10,000 weel 35 author per 10,000 13 dialect per 10,000 there 35 author per 10,000 8 dialect per 10,000 rose 35 author per 10,000 0 dialect per 10,000 by 35 author per 10,000 7 dialect per 10,000 they 35 author per 10,000 26 dialect per 10,000 nae 35 author per 10,000 22 dialect per 10,000 mair 35 author per 10,000 27 dialect per 10,000 music 30 author per 10,000 2 dialect per 10,000 ten 30 author per 10,000 2 dialect per 10,000 sae 30 author per 10,000 25 dialect per 10,000 noo 30 author per 10,000 22 dialect per 10,000 i'm 30 author per 10,000 2 dialect per 10,000 intae 30 author per 10,000 14 dialect per 10,000 gie 30 author per 10,000 16 dialect per 10,000 dae 26 author per 10,000 23 dialect per 10,000 jist 26 author per 10,000 8 dialect per 10,000 aye 26 author per 10,000 13 dialect per 10,000 like 26 author per 10,000 9 dialect per 10,000 them 26 author per 10,000 8 dialect per 10,000 aboot 26 author per 10,000 27 dialect per 10,000 hae 26 author per 10,000 55 dialect per 10,000 - 26 author per 10,000 25 dialect per 10,000 efter 26 author per 10,000 6 dialect per 10,000 this 26 author per 10,000 27 dialect per 10,000 grumph 26 author per 10,000 0 dialect per 10,000 bird 26 author per 10,000 0 dialect per 10,000 micht 26 author per 10,000 6 dialect per 10,000 igor 26 author per 10,000 0 dialect per 10,000 aggie 26 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 thocht 26 author per 10,000 11 dialect per 10,000 awa 26 author per 10,000 17 dialect per 10,000 € 26 author per 10,000 8 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 bonnie 22 author per 10,000 1 dialect per 10,000 fae 22 author per 10,000 13 dialect per 10,000 royal 22 author per 10,000 0 dialect per 10,000 love 22 author per 10,000 2 dialect per 10,000 had 22 author per 10,000 22 dialect per 10,000 than 22 author per 10,000 3 dialect per 10,000 yorlin 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 13 dialect per 10,000 get 22 author per 10,000 9 dialect per 10,000 awfie 22 author per 10,000 0 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 as 22 author per 10,000 31 dialect per 10,000 whaur 22 author per 10,000 3 dialect per 10,000 siller 22 author per 10,000 1 dialect per 10,000 wha 22 author per 10,000 9 dialect per 10,000 bash 17 author per 10,000 0 dialect per 10,000 wid 17 author per 10,000 1 dialect per 10,000 anither 17 author per 10,000 8 dialect per 10,000 emperor's 17 author per 10,000 0 dialect per 10,000 we 17 author per 10,000 18 dialect per 10,000 hoose 17 author per 10,000 14 dialect per 10,000 hairy 17 author per 10,000 0 dialect per 10,000 say 17 author per 10,000 10 dialect per 10,000 lassie-in-waitin 17 author per 10,000 0 dialect per 10,000 were 17 author per 10,000 4 dialect per 10,000 see 17 author per 10,000 16 dialect per 10,000 real 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 0 dialect per 10,000 palace 17 author per 10,000 0 dialect per 10,000 lassies-in-waitin 17 author per 10,000 0 dialect per 10,000 hoo 17 author per 10,000 9 dialect per 10,000 him 17 author per 10,000 11 dialect per 10,000 you 17 author per 10,000 5 dialect per 10,000 pit 17 author per 10,000 11 dialect per 10,000 grumphies 17 author per 10,000 0 dialect per 10,000 still 17 author per 10,000 4 dialect per 10,000 nichtingale 17 author per 10,000 0 dialect per 10,000 richt 17 author per 10,000 13 dialect per 10,000 echt 17 author per 10,000 1 dialect per 10,000 shed 17 author per 10,000 0 dialect per 10,000 heard 17 author per 10,000 0 dialect per 10,000 care 17 author per 10,000 1 dialect per 10,000 lookin 17 author per 10,000 0 dialect per 10,000 yin 17 author per 10,000 34 dialect per 10,000 will 17 author per 10,000 2 dialect per 10,000 it's 13 author per 10,000 14 dialect per 10,000 lust 13 author per 10,000 0 dialect per 10,000 sing 13 author per 10,000 2 dialect per 10,000 hissel 13 author per 10,000 1 dialect per 10,000 saw 13 author per 10,000 1 dialect per 10,000 she's 13 author per 10,000 1 dialect per 10,000 trowth 13 author per 10,000 0 dialect per 10,000 rabbie 13 author per 10,000 0 dialect per 10,000 na 13 author per 10,000 3 dialect per 10,000 crate 13 author per 10,000 0 dialect per 10,000 cried 13 author per 10,000 1 dialect per 10,000 white 13 author per 10,000 4 dialect per 10,000 tak 13 author per 10,000 13 dialect per 10,000 says 13 author per 10,000 3 dialect per 10,000 auld 13 author per 10,000 1 dialect per 10,000 really 13 author per 10,000 1 dialect per 10,000 twa 13 author per 10,000 11 dialect per 10,000 wull 13 author per 10,000 27 dialect per 10,000 man 13 author per 10,000 17 dialect per 10,000 hert 13 author per 10,000 0 dialect per 10,000 doon 13 author per 10,000 28 dialect per 10,000 €™ll 13 author per 10,000 4 dialect per 10,000 playin 13 author per 10,000 1 dialect per 10,000 grumphiehoose 13 author per 10,000 0 dialect per 10,000 meg 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 0 dialect per 10,000 wey 13 author per 10,000 0 dialect per 10,000 feart 13 author per 10,000 2 dialect per 10,000 bush 13 author per 10,000 0 dialect per 10,000 fash 13 author per 10,000 1 dialect per 10,000 flooer 13 author per 10,000 0 dialect per 10,000 lines 13 author per 10,000 1 dialect per 10,000 back 13 author per 10,000 2 dialect per 10,000 curse 13 author per 10,000 0 dialect per 10,000 cuid 13 author per 10,000 0 dialect per 10,000 ither 13 author per 10,000 14 dialect per 10,000 singin 13 author per 10,000 1 dialect per 10,000 gifts 13 author per 10,000 0 dialect per 10,000 muckle 13 author per 10,000 2 dialect per 10,000 are 13 author per 10,000 4 dialect per 10,000 look 13 author per 10,000 1 dialect per 10,000 got 13 author per 10,000 9 dialect per 10,000 said 13 author per 10,000 32 dialect per 10,000 bawd 13 author per 10,000 0 dialect per 10,000 neb 13 author per 10,000 1 dialect per 10,000 dochter 13 author per 10,000 1 dialect per 10,000 things 13 author per 10,000 4 dialect per 10,000 aince 13 author per 10,000 0 dialect per 10,000 or 13 author per 10,000 33 dialect per 10,000 sang 13 author per 10,000 2 dialect per 10,000 gied 13 author per 10,000 1 dialect per 10,000 so 13 author per 10,000 5 dialect per 10,000 studded 9 author per 10,000 0 dialect per 10,000 shair 9 author per 10,000 2 dialect per 10,000 was 9 author per 10,000 22 dialect per 10,000 comes 9 author per 10,000 1 dialect per 10,000 messenger 9 author per 10,000 0 dialect per 10,000 inside 9 author per 10,000 1 dialect per 10,000 mak 9 author per 10,000 10 dialect per 10,000 gaed 9 author per 10,000 3 dialect per 10,000 cos 9 author per 10,000 0 dialect per 10,000 worse 9 author per 10,000 0 dialect per 10,000 prood 9 author per 10,000 0 dialect per 10,000 emperor 9 author per 10,000 0 dialect per 10,000 claes 9 author per 10,000 3 dialect per 10,000 am 9 author per 10,000 4 dialect per 10,000 mornin 9 author per 10,000 2 dialect per 10,000 better 9 author per 10,000 2 dialect per 10,000 else 9 author per 10,000 1 dialect per 10,000 could 9 author per 10,000 1 dialect per 10,000 may 9 author per 10,000 2 dialect per 10,000 hame 9 author per 10,000 10 dialect per 10,000 ony 9 author per 10,000 1 dialect per 10,000 blossomed 9 author per 10,000 0 dialect per 10,000 potions 9 author per 10,000 0 dialect per 10,000 ma'am 9 author per 10,000 0 dialect per 10,000 steyed 9 author per 10,000 0 dialect per 10,000 wonderfu 9 author per 10,000 0 dialect per 10,000