A Corpus of 21st Century Scots Texts

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Sutherland, Hope


Total words by this author in corpus - 954
Total unique words used by this author in corpus - 347
Ratio of total words to unique words - 2.749
Top ten most common words - i, she, we, a, tae, it, the, in, o, n,

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
i 587 author per 10,000 39 dialect per 10,000 she 314 author per 10,000 56 dialect per 10,000 we 294 author per 10,000 33 dialect per 10,000 a 231 author per 10,000 266 dialect per 10,000 tae 231 author per 10,000 211 dialect per 10,000 it 220 author per 10,000 116 dialect per 10,000 the 178 author per 10,000 565 dialect per 10,000 in 178 author per 10,000 147 dialect per 10,000 o 157 author per 10,000 185 dialect per 10,000 n 157 author per 10,000 5 dialect per 10,000 €™s 157 author per 10,000 32 dialect per 10,000 €™d 147 author per 10,000 6 dialect per 10,000 wis 136 author per 10,000 97 dialect per 10,000 at 126 author per 10,000 59 dialect per 10,000 be 115 author per 10,000 48 dialect per 10,000 her 115 author per 10,000 46 dialect per 10,000 but 105 author per 10,000 48 dialect per 10,000 fan 105 author per 10,000 0 dialect per 10,000 wee 105 author per 10,000 29 dialect per 10,000 nae 94 author per 10,000 24 dialect per 10,000 or 84 author per 10,000 29 dialect per 10,000 even 84 author per 10,000 9 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 18 dialect per 10,000 me 73 author per 10,000 40 dialect per 10,000 and 73 author per 10,000 94 dialect per 10,000 thi 73 author per 10,000 5 dialect per 10,000 room 73 author per 10,000 4 dialect per 10,000 €™m 73 author per 10,000 6 dialect per 10,000 up 73 author per 10,000 40 dialect per 10,000 if 63 author per 10,000 17 dialect per 10,000 right 63 author per 10,000 5 dialect per 10,000 time 63 author per 10,000 18 dialect per 10,000 you 63 author per 10,000 15 dialect per 10,000 ma 63 author per 10,000 51 dialect per 10,000 is 63 author per 10,000 58 dialect per 10,000 suppose 63 author per 10,000 1 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 48 dialect per 10,000 thit 52 author per 10,000 2 dialect per 10,000 same 52 author per 10,000 6 dialect per 10,000 are 52 author per 10,000 17 dialect per 10,000 share 52 author per 10,000 1 dialect per 10,000 half 42 author per 10,000 1 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 17 dialect per 10,000 jist 42 author per 10,000 20 dialect per 10,000 front 42 author per 10,000 3 dialect per 10,000 €™re 42 author per 10,000 3 dialect per 10,000 quite 42 author per 10,000 2 dialect per 10,000 sisters 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 29 dialect per 10,000 they 31 author per 10,000 41 dialect per 10,000 as 31 author per 10,000 59 dialect per 10,000 ivery 31 author per 10,000 0 dialect per 10,000 though 31 author per 10,000 4 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 4 dialect per 10,000 dinna 31 author per 10,000 4 dialect per 10,000 noo 31 author per 10,000 14 dialect per 10,000 say 31 author per 10,000 10 dialect per 10,000 affa 31 author per 10,000 0 dialect per 10,000 bed 31 author per 10,000 3 dialect per 10,000 made 31 author per 10,000 7 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 his 31 author per 10,000 59 dialect per 10,000 hid 31 author per 10,000 2 dialect per 10,000 folk 31 author per 10,000 5 dialect per 10,000 it's 31 author per 10,000 17 dialect per 10,000 yi 31 author per 10,000 6 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 4 dialect per 10,000 want 31 author per 10,000 6 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 to 31 author per 10,000 9 dialect per 10,000 wisna 31 author per 10,000 2 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 12 dialect per 10,000 yir 31 author per 10,000 4 dialect per 10,000 so 31 author per 10,000 10 dialect per 10,000 mine 21 author per 10,000 1 dialect per 10,000 stuff 21 author per 10,000 2 dialect per 10,000 athin 21 author per 10,000 1 dialect per 10,000 through 21 author per 10,000 6 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 9 dialect per 10,000 present 21 author per 10,000 1 dialect per 10,000 wind 21 author per 10,000 1 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 4 dialect per 10,000 how 21 author per 10,000 6 dialect per 10,000 fiddle 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 9 dialect per 10,000 do 21 author per 10,000 1 dialect per 10,000 maist 21 author per 10,000 8 dialect per 10,000 could 21 author per 10,000 9 dialect per 10,000 near 21 author per 10,000 3 dialect per 10,000 fact 21 author per 10,000 2 dialect per 10,000 tree 21 author per 10,000 1 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 different 21 author per 10,000 2 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 2 dialect per 10,000 loud 21 author per 10,000 1 dialect per 10,000 roon 21 author per 10,000 4 dialect per 10,000 that 21 author per 10,000 106 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 10 dialect per 10,000 centre 21 author per 10,000 1 dialect per 10,000 turns 21 author per 10,000 1 dialect per 10,000 masel 21 author per 10,000 3 dialect per 10,000 odd 21 author per 10,000 0 dialect per 10,000 there 21 author per 10,000 23 dialect per 10,000 of 21 author per 10,000 11 dialect per 10,000 anything 21 author per 10,000 0 dialect per 10,000 attention 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 8 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 17 dialect per 10,000 got 21 author per 10,000 11 dialect per 10,000 hide 21 author per 10,000 1 dialect per 10,000 wid 21 author per 10,000 8 dialect per 10,000 still 21 author per 10,000 8 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 iver 21 author per 10,000 1 dialect per 10,000 fae 21 author per 10,000 26 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 36 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 1 dialect per 10,000 needin 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 28 dialect per 10,000 playin 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 40 dialect per 10,000 group 21 author per 10,000 1 dialect per 10,000 them 21 author per 10,000 18 dialect per 10,000 go 21 author per 10,000 6 dialect per 10,000 hiv 21 author per 10,000 2 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 4 dialect per 10,000 normal 10 author per 10,000 0 dialect per 10,000 wooden 10 author per 10,000 0 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 1 dialect per 10,000 each 10 author per 10,000 2 dialect per 10,000 under 10 author per 10,000 1 dialect per 10,000 other 10 author per 10,000 2 dialect per 10,000 started 10 author per 10,000 1 dialect per 10,000 cause 10 author per 10,000 5 dialect per 10,000 argument 10 author per 10,000 0 dialect per 10,000 christmas 10 author per 10,000 1 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 27 dialect per 10,000 lights 10 author per 10,000 0 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 23 dialect per 10,000 since 10 author per 10,000 2 dialect per 10,000 anes 10 author per 10,000 1 dialect per 10,000 born 10 author per 10,000 1 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 3 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 1 dialect per 10,000 came 10 author per 10,000 3 dialect per 10,000 eventually 10 author per 10,000 1 dialect per 10,000 turn 10 author per 10,000 2 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 2 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 2 dialect per 10,000 were 10 author per 10,000 15 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 1 dialect per 10,000 sake 10 author per 10,000 1 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 5 dialect per 10,000 on 10 author per 10,000 55 dialect per 10,000 dark 10 author per 10,000 1 dialect per 10,000 come 10 author per 10,000 9 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 thinks 10 author per 10,000 1 dialect per 10,000 hair 10 author per 10,000 3 dialect per 10,000 eyes 10 author per 10,000 2 dialect per 10,000 our 10 author per 10,000 2 dialect per 10,000 		Doric
i 587 author per 10,000 68 dialect per 10,000 she 314 author per 10,000 66 dialect per 10,000 we 294 author per 10,000 33 dialect per 10,000 a 231 author per 10,000 315 dialect per 10,000 tae 231 author per 10,000 171 dialect per 10,000 it 220 author per 10,000 99 dialect per 10,000 the 178 author per 10,000 452 dialect per 10,000 in 178 author per 10,000 130 dialect per 10,000 o 157 author per 10,000 176 dialect per 10,000 n 157 author per 10,000 1 dialect per 10,000 €™s 157 author per 10,000 21 dialect per 10,000 €™d 147 author per 10,000 10 dialect per 10,000 wis 136 author per 10,000 105 dialect per 10,000 at 126 author per 10,000 68 dialect per 10,000 be 115 author per 10,000 45 dialect per 10,000 her 115 author per 10,000 64 dialect per 10,000 but 105 author per 10,000 25 dialect per 10,000 fan 105 author per 10,000 17 dialect per 10,000 wee 105 author per 10,000 18 dialect per 10,000 nae 94 author per 10,000 50 dialect per 10,000 or 84 author per 10,000 26 dialect per 10,000 even 84 author per 10,000 6 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 43 dialect per 10,000 me 73 author per 10,000 32 dialect per 10,000 and 73 author per 10,000 41 dialect per 10,000 thi 73 author per 10,000 28 dialect per 10,000 room 73 author per 10,000 4 dialect per 10,000 €™m 73 author per 10,000 3 dialect per 10,000 up 73 author per 10,000 47 dialect per 10,000 if 63 author per 10,000 16 dialect per 10,000 right 63 author per 10,000 1 dialect per 10,000 time 63 author per 10,000 19 dialect per 10,000 you 63 author per 10,000 17 dialect per 10,000 ma 63 author per 10,000 50 dialect per 10,000 is 63 author per 10,000 39 dialect per 10,000 suppose 63 author per 10,000 1 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 45 dialect per 10,000 thit 52 author per 10,000 1 dialect per 10,000 same 52 author per 10,000 5 dialect per 10,000 are 52 author per 10,000 13 dialect per 10,000 share 52 author per 10,000 1 dialect per 10,000 half 42 author per 10,000 3 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 21 dialect per 10,000 jist 42 author per 10,000 36 dialect per 10,000 front 42 author per 10,000 2 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 quite 42 author per 10,000 2 dialect per 10,000 sisters 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 33 dialect per 10,000 they 31 author per 10,000 36 dialect per 10,000 as 31 author per 10,000 52 dialect per 10,000 ivery 31 author per 10,000 1 dialect per 10,000 though 31 author per 10,000 3 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 1 dialect per 10,000 dinna 31 author per 10,000 16 dialect per 10,000 noo 31 author per 10,000 23 dialect per 10,000 say 31 author per 10,000 14 dialect per 10,000 affa 31 author per 10,000 12 dialect per 10,000 bed 31 author per 10,000 3 dialect per 10,000 made 31 author per 10,000 8 dialect per 10,000 dee 31 author per 10,000 10 dialect per 10,000 his 31 author per 10,000 69 dialect per 10,000 hid 31 author per 10,000 34 dialect per 10,000 folk 31 author per 10,000 4 dialect per 10,000 it's 31 author per 10,000 19 dialect per 10,000 yi 31 author per 10,000 1 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 2 dialect per 10,000 want 31 author per 10,000 2 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 to 31 author per 10,000 8 dialect per 10,000 wisna 31 author per 10,000 7 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 21 dialect per 10,000 yir 31 author per 10,000 1 dialect per 10,000 so 31 author per 10,000 17 dialect per 10,000 mine 21 author per 10,000 2 dialect per 10,000 stuff 21 author per 10,000 2 dialect per 10,000 athin 21 author per 10,000 0 dialect per 10,000 through 21 author per 10,000 3 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 5 dialect per 10,000 present 21 author per 10,000 0 dialect per 10,000 wind 21 author per 10,000 1 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 2 dialect per 10,000 how 21 author per 10,000 2 dialect per 10,000 fiddle 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 11 dialect per 10,000 do 21 author per 10,000 3 dialect per 10,000 maist 21 author per 10,000 4 dialect per 10,000 could 21 author per 10,000 8 dialect per 10,000 near 21 author per 10,000 6 dialect per 10,000 fact 21 author per 10,000 1 dialect per 10,000 tree 21 author per 10,000 3 dialect per 10,000 oor 21 author per 10,000 8 dialect per 10,000 different 21 author per 10,000 1 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 40 dialect per 10,000 loud 21 author per 10,000 1 dialect per 10,000 roon 21 author per 10,000 11 dialect per 10,000 that 21 author per 10,000 53 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 18 dialect per 10,000 centre 21 author per 10,000 1 dialect per 10,000 turns 21 author per 10,000 2 dialect per 10,000 masel 21 author per 10,000 4 dialect per 10,000 odd 21 author per 10,000 0 dialect per 10,000 there 21 author per 10,000 22 dialect per 10,000 of 21 author per 10,000 8 dialect per 10,000 anything 21 author per 10,000 0 dialect per 10,000 attention 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 9 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 9 dialect per 10,000 got 21 author per 10,000 14 dialect per 10,000 hide 21 author per 10,000 1 dialect per 10,000 wid 21 author per 10,000 18 dialect per 10,000 still 21 author per 10,000 6 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 iver 21 author per 10,000 2 dialect per 10,000 fae 21 author per 10,000 30 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 7 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 1 dialect per 10,000 needin 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 37 dialect per 10,000 playin 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 50 dialect per 10,000 group 21 author per 10,000 0 dialect per 10,000 them 21 author per 10,000 23 dialect per 10,000 go 21 author per 10,000 4 dialect per 10,000 hiv 21 author per 10,000 9 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 3 dialect per 10,000 normal 10 author per 10,000 0 dialect per 10,000 wooden 10 author per 10,000 0 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 2 dialect per 10,000 each 10 author per 10,000 1 dialect per 10,000 under 10 author per 10,000 1 dialect per 10,000 other 10 author per 10,000 0 dialect per 10,000 started 10 author per 10,000 2 dialect per 10,000 cause 10 author per 10,000 3 dialect per 10,000 argument 10 author per 10,000 0 dialect per 10,000 christmas 10 author per 10,000 1 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 28 dialect per 10,000 lights 10 author per 10,000 0 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 20 dialect per 10,000 since 10 author per 10,000 2 dialect per 10,000 anes 10 author per 10,000 0 dialect per 10,000 born 10 author per 10,000 1 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 4 dialect per 10,000 eventually 10 author per 10,000 0 dialect per 10,000 turn 10 author per 10,000 3 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 3 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 1 dialect per 10,000 were 10 author per 10,000 13 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 0 dialect per 10,000 sake 10 author per 10,000 1 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 7 dialect per 10,000 on 10 author per 10,000 67 dialect per 10,000 dark 10 author per 10,000 1 dialect per 10,000 come 10 author per 10,000 13 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 thinks 10 author per 10,000 0 dialect per 10,000 hair 10 author per 10,000 3 dialect per 10,000 eyes 10 author per 10,000 1 dialect per 10,000 our 10 author per 10,000 1 dialect per 10,000
Shetland
i 587 author per 10,000 143 dialect per 10,000 she 314 author per 10,000 7 dialect per 10,000 we 294 author per 10,000 44 dialect per 10,000 a 231 author per 10,000 280 dialect per 10,000 tae 231 author per 10,000 86 dialect per 10,000 it 220 author per 10,000 58 dialect per 10,000 the 178 author per 10,000 18 dialect per 10,000 in 178 author per 10,000 105 dialect per 10,000 o 157 author per 10,000 177 dialect per 10,000 n 157 author per 10,000 1 dialect per 10,000 €™s 157 author per 10,000 15 dialect per 10,000 €™d 147 author per 10,000 2 dialect per 10,000 wis 136 author per 10,000 162 dialect per 10,000 at 126 author per 10,000 112 dialect per 10,000 be 115 author per 10,000 56 dialect per 10,000 her 115 author per 10,000 64 dialect per 10,000 but 105 author per 10,000 29 dialect per 10,000 fan 105 author per 10,000 6 dialect per 10,000 wee 105 author per 10,000 0 dialect per 10,000 nae 94 author per 10,000 23 dialect per 10,000 or 84 author per 10,000 32 dialect per 10,000 even 84 author per 10,000 10 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 38 dialect per 10,000 me 73 author per 10,000 41 dialect per 10,000 and 73 author per 10,000 15 dialect per 10,000 thi 73 author per 10,000 0 dialect per 10,000 room 73 author per 10,000 2 dialect per 10,000 €™m 73 author per 10,000 5 dialect per 10,000 up 73 author per 10,000 42 dialect per 10,000 if 63 author per 10,000 25 dialect per 10,000 right 63 author per 10,000 5 dialect per 10,000 time 63 author per 10,000 21 dialect per 10,000 you 63 author per 10,000 51 dialect per 10,000 ma 63 author per 10,000 0 dialect per 10,000 is 63 author per 10,000 81 dialect per 10,000 suppose 63 author per 10,000 1 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 35 dialect per 10,000 thit 52 author per 10,000 0 dialect per 10,000 same 52 author per 10,000 0 dialect per 10,000 are 52 author per 10,000 2 dialect per 10,000 share 52 author per 10,000 1 dialect per 10,000 half 42 author per 10,000 2 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 20 dialect per 10,000 jist 42 author per 10,000 0 dialect per 10,000 front 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 quite 42 author per 10,000 0 dialect per 10,000 sisters 42 author per 10,000 1 dialect per 10,000 aboot 42 author per 10,000 41 dialect per 10,000 they 31 author per 10,000 2 dialect per 10,000 as 31 author per 10,000 79 dialect per 10,000 ivery 31 author per 10,000 2 dialect per 10,000 though 31 author per 10,000 1 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 10 dialect per 10,000 dinna 31 author per 10,000 0 dialect per 10,000 noo 31 author per 10,000 19 dialect per 10,000 say 31 author per 10,000 11 dialect per 10,000 affa 31 author per 10,000 0 dialect per 10,000 bed 31 author per 10,000 3 dialect per 10,000 made 31 author per 10,000 1 dialect per 10,000 dee 31 author per 10,000 21 dialect per 10,000 his 31 author per 10,000 52 dialect per 10,000 hid 31 author per 10,000 1 dialect per 10,000 folk 31 author per 10,000 1 dialect per 10,000 it's 31 author per 10,000 8 dialect per 10,000 yi 31 author per 10,000 0 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 1 dialect per 10,000 want 31 author per 10,000 5 dialect per 10,000 baith 31 author per 10,000 5 dialect per 10,000 to 31 author per 10,000 8 dialect per 10,000 wisna 31 author per 10,000 9 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 13 dialect per 10,000 yir 31 author per 10,000 1 dialect per 10,000 so 31 author per 10,000 26 dialect per 10,000 mine 21 author per 10,000 1 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 athin 21 author per 10,000 5 dialect per 10,000 through 21 author per 10,000 0 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 4 dialect per 10,000 present 21 author per 10,000 1 dialect per 10,000 wind 21 author per 10,000 3 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 1 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 fiddle 21 author per 10,000 1 dialect per 10,000 think 21 author per 10,000 1 dialect per 10,000 do 21 author per 10,000 5 dialect per 10,000 maist 21 author per 10,000 4 dialect per 10,000 could 21 author per 10,000 12 dialect per 10,000 near 21 author per 10,000 2 dialect per 10,000 fact 21 author per 10,000 1 dialect per 10,000 tree 21 author per 10,000 7 dialect per 10,000 oor 21 author per 10,000 1 dialect per 10,000 different 21 author per 10,000 6 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 4 dialect per 10,000 loud 21 author per 10,000 0 dialect per 10,000 roon 21 author per 10,000 0 dialect per 10,000 that 21 author per 10,000 4 dialect per 10,000 really 21 author per 10,000 2 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 13 dialect per 10,000 centre 21 author per 10,000 0 dialect per 10,000 turns 21 author per 10,000 0 dialect per 10,000 masel 21 author per 10,000 0 dialect per 10,000 odd 21 author per 10,000 0 dialect per 10,000 there 21 author per 10,000 1 dialect per 10,000 of 21 author per 10,000 11 dialect per 10,000 anything 21 author per 10,000 0 dialect per 10,000 attention 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 12 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 7 dialect per 10,000 got 21 author per 10,000 8 dialect per 10,000 hide 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 38 dialect per 10,000 still 21 author per 10,000 9 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 iver 21 author per 10,000 1 dialect per 10,000 fae 21 author per 10,000 40 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 35 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 1 dialect per 10,000 needin 21 author per 10,000 1 dialect per 10,000 like 21 author per 10,000 2 dialect per 10,000 playin 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 42 dialect per 10,000 group 21 author per 10,000 1 dialect per 10,000 them 21 author per 10,000 1 dialect per 10,000 go 21 author per 10,000 2 dialect per 10,000 hiv 21 author per 10,000 1 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 4 dialect per 10,000 normal 10 author per 10,000 0 dialect per 10,000 wooden 10 author per 10,000 0 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 1 dialect per 10,000 each 10 author per 10,000 1 dialect per 10,000 under 10 author per 10,000 2 dialect per 10,000 other 10 author per 10,000 1 dialect per 10,000 started 10 author per 10,000 1 dialect per 10,000 cause 10 author per 10,000 0 dialect per 10,000 argument 10 author per 10,000 1 dialect per 10,000 christmas 10 author per 10,000 2 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 53 dialect per 10,000 lights 10 author per 10,000 0 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 25 dialect per 10,000 since 10 author per 10,000 1 dialect per 10,000 anes 10 author per 10,000 1 dialect per 10,000 born 10 author per 10,000 1 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 1 dialect per 10,000 came 10 author per 10,000 0 dialect per 10,000 eventually 10 author per 10,000 1 dialect per 10,000 turn 10 author per 10,000 3 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 3 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 2 dialect per 10,000 were 10 author per 10,000 3 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 0 dialect per 10,000 sake 10 author per 10,000 1 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 6 dialect per 10,000 on 10 author per 10,000 52 dialect per 10,000 dark 10 author per 10,000 3 dialect per 10,000 come 10 author per 10,000 19 dialect per 10,000 earth 10 author per 10,000 0 dialect per 10,000 thinks 10 author per 10,000 0 dialect per 10,000 hair 10 author per 10,000 3 dialect per 10,000 eyes 10 author per 10,000 0 dialect per 10,000 our 10 author per 10,000 1 dialect per 10,000 		Orkney
i 587 author per 10,000 158 dialect per 10,000 she 314 author per 10,000 9 dialect per 10,000 we 294 author per 10,000 29 dialect per 10,000 a 231 author per 10,000 298 dialect per 10,000 tae 231 author per 10,000 223 dialect per 10,000 it 220 author per 10,000 23 dialect per 10,000 the 178 author per 10,000 582 dialect per 10,000 in 178 author per 10,000 146 dialect per 10,000 o 157 author per 10,000 202 dialect per 10,000 n 157 author per 10,000 0 dialect per 10,000 €™s 157 author per 10,000 17 dialect per 10,000 €™d 147 author per 10,000 2 dialect per 10,000 wis 136 author per 10,000 80 dialect per 10,000 at 126 author per 10,000 54 dialect per 10,000 be 115 author per 10,000 42 dialect per 10,000 her 115 author per 10,000 49 dialect per 10,000 but 105 author per 10,000 28 dialect per 10,000 fan 105 author per 10,000 0 dialect per 10,000 wee 105 author per 10,000 1 dialect per 10,000 nae 94 author per 10,000 3 dialect per 10,000 or 84 author per 10,000 30 dialect per 10,000 even 84 author per 10,000 6 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 48 dialect per 10,000 me 73 author per 10,000 115 dialect per 10,000 and 73 author per 10,000 199 dialect per 10,000 thi 73 author per 10,000 4 dialect per 10,000 room 73 author per 10,000 2 dialect per 10,000 €™m 73 author per 10,000 3 dialect per 10,000 up 73 author per 10,000 34 dialect per 10,000 if 63 author per 10,000 15 dialect per 10,000 right 63 author per 10,000 17 dialect per 10,000 time 63 author per 10,000 18 dialect per 10,000 you 63 author per 10,000 35 dialect per 10,000 ma 63 author per 10,000 1 dialect per 10,000 is 63 author per 10,000 71 dialect per 10,000 suppose 63 author per 10,000 1 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 26 dialect per 10,000 thit 52 author per 10,000 1 dialect per 10,000 same 52 author per 10,000 3 dialect per 10,000 are 52 author per 10,000 14 dialect per 10,000 share 52 author per 10,000 1 dialect per 10,000 half 42 author per 10,000 2 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 17 dialect per 10,000 jist 42 author per 10,000 3 dialect per 10,000 front 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 quite 42 author per 10,000 2 dialect per 10,000 sisters 42 author per 10,000 1 dialect per 10,000 aboot 42 author per 10,000 26 dialect per 10,000 they 31 author per 10,000 37 dialect per 10,000 as 31 author per 10,000 48 dialect per 10,000 ivery 31 author per 10,000 1 dialect per 10,000 though 31 author per 10,000 4 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 2 dialect per 10,000 dinna 31 author per 10,000 4 dialect per 10,000 noo 31 author per 10,000 27 dialect per 10,000 say 31 author per 10,000 10 dialect per 10,000 affa 31 author per 10,000 0 dialect per 10,000 bed 31 author per 10,000 7 dialect per 10,000 made 31 author per 10,000 3 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 his 31 author per 10,000 61 dialect per 10,000 hid 31 author per 10,000 91 dialect per 10,000 folk 31 author per 10,000 9 dialect per 10,000 it's 31 author per 10,000 4 dialect per 10,000 yi 31 author per 10,000 1 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 1 dialect per 10,000 want 31 author per 10,000 5 dialect per 10,000 baith 31 author per 10,000 1 dialect per 10,000 to 31 author per 10,000 8 dialect per 10,000 wisna 31 author per 10,000 4 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 1 dialect per 10,000 yir 31 author per 10,000 11 dialect per 10,000 so 31 author per 10,000 30 dialect per 10,000 mine 21 author per 10,000 3 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 athin 21 author per 10,000 0 dialect per 10,000 through 21 author per 10,000 9 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 1 dialect per 10,000 present 21 author per 10,000 1 dialect per 10,000 wind 21 author per 10,000 6 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 1 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 fiddle 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 10 dialect per 10,000 do 21 author per 10,000 3 dialect per 10,000 maist 21 author per 10,000 1 dialect per 10,000 could 21 author per 10,000 13 dialect per 10,000 near 21 author per 10,000 5 dialect per 10,000 fact 21 author per 10,000 1 dialect per 10,000 tree 21 author per 10,000 1 dialect per 10,000 oor 21 author per 10,000 2 dialect per 10,000 different 21 author per 10,000 2 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 1 dialect per 10,000 loud 21 author per 10,000 0 dialect per 10,000 roon 21 author per 10,000 2 dialect per 10,000 that 21 author per 10,000 75 dialect per 10,000 really 21 author per 10,000 4 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 10 dialect per 10,000 centre 21 author per 10,000 1 dialect per 10,000 turns 21 author per 10,000 3 dialect per 10,000 masel 21 author per 10,000 0 dialect per 10,000 odd 21 author per 10,000 1 dialect per 10,000 there 21 author per 10,000 18 dialect per 10,000 of 21 author per 10,000 6 dialect per 10,000 anything 21 author per 10,000 2 dialect per 10,000 attention 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 9 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 16 dialect per 10,000 got 21 author per 10,000 11 dialect per 10,000 hide 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 20 dialect per 10,000 still 21 author per 10,000 12 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 iver 21 author per 10,000 0 dialect per 10,000 fae 21 author per 10,000 39 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 58 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 1 dialect per 10,000 needin 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 31 dialect per 10,000 playin 21 author per 10,000 0 dialect per 10,000 oot 21 author per 10,000 50 dialect per 10,000 group 21 author per 10,000 1 dialect per 10,000 them 21 author per 10,000 18 dialect per 10,000 go 21 author per 10,000 10 dialect per 10,000 hiv 21 author per 10,000 13 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 2 dialect per 10,000 normal 10 author per 10,000 1 dialect per 10,000 wooden 10 author per 10,000 0 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 1 dialect per 10,000 each 10 author per 10,000 4 dialect per 10,000 under 10 author per 10,000 3 dialect per 10,000 other 10 author per 10,000 0 dialect per 10,000 started 10 author per 10,000 2 dialect per 10,000 cause 10 author per 10,000 0 dialect per 10,000 argument 10 author per 10,000 0 dialect per 10,000 christmas 10 author per 10,000 2 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 76 dialect per 10,000 lights 10 author per 10,000 4 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 11 dialect per 10,000 since 10 author per 10,000 3 dialect per 10,000 anes 10 author per 10,000 0 dialect per 10,000 born 10 author per 10,000 1 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 4 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 3 dialect per 10,000 came 10 author per 10,000 1 dialect per 10,000 eventually 10 author per 10,000 1 dialect per 10,000 turn 10 author per 10,000 4 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 2 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 2 dialect per 10,000 were 10 author per 10,000 6 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 0 dialect per 10,000 sake 10 author per 10,000 0 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 1 dialect per 10,000 on 10 author per 10,000 73 dialect per 10,000 dark 10 author per 10,000 4 dialect per 10,000 come 10 author per 10,000 11 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 thinks 10 author per 10,000 2 dialect per 10,000 hair 10 author per 10,000 3 dialect per 10,000 eyes 10 author per 10,000 7 dialect per 10,000 our 10 author per 10,000 1 dialect per 10,000
Southern
i 587 author per 10,000 74 dialect per 10,000 she 314 author per 10,000 91 dialect per 10,000 we 294 author per 10,000 10 dialect per 10,000 a 231 author per 10,000 230 dialect per 10,000 tae 231 author per 10,000 206 dialect per 10,000 it 220 author per 10,000 63 dialect per 10,000 the 178 author per 10,000 449 dialect per 10,000 in 178 author per 10,000 107 dialect per 10,000 o 157 author per 10,000 200 dialect per 10,000 n 157 author per 10,000 8 dialect per 10,000 €™s 157 author per 10,000 34 dialect per 10,000 €™d 147 author per 10,000 7 dialect per 10,000 wis 136 author per 10,000 54 dialect per 10,000 at 126 author per 10,000 69 dialect per 10,000 be 115 author per 10,000 13 dialect per 10,000 her 115 author per 10,000 17 dialect per 10,000 but 105 author per 10,000 42 dialect per 10,000 fan 105 author per 10,000 2 dialect per 10,000 wee 105 author per 10,000 23 dialect per 10,000 nae 94 author per 10,000 25 dialect per 10,000 or 84 author per 10,000 22 dialect per 10,000 even 84 author per 10,000 5 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 14 dialect per 10,000 me 73 author per 10,000 16 dialect per 10,000 and 73 author per 10,000 33 dialect per 10,000 thi 73 author per 10,000 0 dialect per 10,000 room 73 author per 10,000 3 dialect per 10,000 €™m 73 author per 10,000 5 dialect per 10,000 up 73 author per 10,000 41 dialect per 10,000 if 63 author per 10,000 17 dialect per 10,000 right 63 author per 10,000 1 dialect per 10,000 time 63 author per 10,000 14 dialect per 10,000 you 63 author per 10,000 3 dialect per 10,000 ma 63 author per 10,000 59 dialect per 10,000 is 63 author per 10,000 62 dialect per 10,000 suppose 63 author per 10,000 2 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 22 dialect per 10,000 thit 52 author per 10,000 8 dialect per 10,000 same 52 author per 10,000 6 dialect per 10,000 are 52 author per 10,000 9 dialect per 10,000 share 52 author per 10,000 5 dialect per 10,000 half 42 author per 10,000 0 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 5 dialect per 10,000 jist 42 author per 10,000 11 dialect per 10,000 front 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 quite 42 author per 10,000 2 dialect per 10,000 sisters 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 29 dialect per 10,000 they 31 author per 10,000 31 dialect per 10,000 as 31 author per 10,000 50 dialect per 10,000 ivery 31 author per 10,000 0 dialect per 10,000 though 31 author per 10,000 1 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 3 dialect per 10,000 dinna 31 author per 10,000 2 dialect per 10,000 noo 31 author per 10,000 16 dialect per 10,000 say 31 author per 10,000 17 dialect per 10,000 affa 31 author per 10,000 0 dialect per 10,000 bed 31 author per 10,000 3 dialect per 10,000 made 31 author per 10,000 6 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 his 31 author per 10,000 37 dialect per 10,000 hid 31 author per 10,000 0 dialect per 10,000 folk 31 author per 10,000 3 dialect per 10,000 it's 31 author per 10,000 8 dialect per 10,000 yi 31 author per 10,000 0 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 4 dialect per 10,000 want 31 author per 10,000 3 dialect per 10,000 baith 31 author per 10,000 8 dialect per 10,000 to 31 author per 10,000 1 dialect per 10,000 wisna 31 author per 10,000 1 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 14 dialect per 10,000 yir 31 author per 10,000 3 dialect per 10,000 so 31 author per 10,000 3 dialect per 10,000 mine 21 author per 10,000 1 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 athin 21 author per 10,000 0 dialect per 10,000 through 21 author per 10,000 2 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 8 dialect per 10,000 present 21 author per 10,000 1 dialect per 10,000 wind 21 author per 10,000 1 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 1 dialect per 10,000 how 21 author per 10,000 10 dialect per 10,000 fiddle 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 7 dialect per 10,000 do 21 author per 10,000 4 dialect per 10,000 maist 21 author per 10,000 4 dialect per 10,000 could 21 author per 10,000 13 dialect per 10,000 near 21 author per 10,000 5 dialect per 10,000 fact 21 author per 10,000 2 dialect per 10,000 tree 21 author per 10,000 2 dialect per 10,000 oor 21 author per 10,000 11 dialect per 10,000 different 21 author per 10,000 2 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 5 dialect per 10,000 loud 21 author per 10,000 1 dialect per 10,000 roon 21 author per 10,000 2 dialect per 10,000 that 21 author per 10,000 65 dialect per 10,000 really 21 author per 10,000 2 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 2 dialect per 10,000 centre 21 author per 10,000 0 dialect per 10,000 turns 21 author per 10,000 1 dialect per 10,000 masel 21 author per 10,000 5 dialect per 10,000 odd 21 author per 10,000 0 dialect per 10,000 there 21 author per 10,000 16 dialect per 10,000 of 21 author per 10,000 10 dialect per 10,000 anything 21 author per 10,000 0 dialect per 10,000 attention 21 author per 10,000 1 dialect per 10,000 mak 21 author per 10,000 7 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 5 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 hide 21 author per 10,000 1 dialect per 10,000 wid 21 author per 10,000 1 dialect per 10,000 still 21 author per 10,000 7 dialect per 10,000 hear 21 author per 10,000 5 dialect per 10,000 iver 21 author per 10,000 0 dialect per 10,000 fae 21 author per 10,000 0 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 28 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 2 dialect per 10,000 needin 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 8 dialect per 10,000 playin 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 34 dialect per 10,000 group 21 author per 10,000 1 dialect per 10,000 them 21 author per 10,000 5 dialect per 10,000 go 21 author per 10,000 1 dialect per 10,000 hiv 21 author per 10,000 0 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 5 dialect per 10,000 normal 10 author per 10,000 0 dialect per 10,000 wooden 10 author per 10,000 1 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 1 dialect per 10,000 each 10 author per 10,000 2 dialect per 10,000 under 10 author per 10,000 3 dialect per 10,000 other 10 author per 10,000 1 dialect per 10,000 started 10 author per 10,000 0 dialect per 10,000 cause 10 author per 10,000 1 dialect per 10,000 argument 10 author per 10,000 0 dialect per 10,000 christmas 10 author per 10,000 0 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 29 dialect per 10,000 lights 10 author per 10,000 0 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 35 dialect per 10,000 since 10 author per 10,000 1 dialect per 10,000 anes 10 author per 10,000 0 dialect per 10,000 born 10 author per 10,000 3 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 0 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 1 dialect per 10,000 came 10 author per 10,000 6 dialect per 10,000 eventually 10 author per 10,000 0 dialect per 10,000 turn 10 author per 10,000 3 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 3 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 0 dialect per 10,000 were 10 author per 10,000 15 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 0 dialect per 10,000 sake 10 author per 10,000 0 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 4 dialect per 10,000 on 10 author per 10,000 55 dialect per 10,000 dark 10 author per 10,000 2 dialect per 10,000 come 10 author per 10,000 9 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 thinks 10 author per 10,000 0 dialect per 10,000 hair 10 author per 10,000 2 dialect per 10,000 eyes 10 author per 10,000 4 dialect per 10,000 our 10 author per 10,000 0 dialect per 10,000 		Ulster
i 587 author per 10,000 16 dialect per 10,000 she 314 author per 10,000 31 dialect per 10,000 we 294 author per 10,000 18 dialect per 10,000 a 231 author per 10,000 287 dialect per 10,000 tae 231 author per 10,000 253 dialect per 10,000 it 220 author per 10,000 73 dialect per 10,000 the 178 author per 10,000 345 dialect per 10,000 in 178 author per 10,000 121 dialect per 10,000 o 157 author per 10,000 208 dialect per 10,000 n 157 author per 10,000 1 dialect per 10,000 €™s 157 author per 10,000 11 dialect per 10,000 €™d 147 author per 10,000 2 dialect per 10,000 wis 136 author per 10,000 1 dialect per 10,000 at 126 author per 10,000 58 dialect per 10,000 be 115 author per 10,000 39 dialect per 10,000 her 115 author per 10,000 8 dialect per 10,000 but 105 author per 10,000 41 dialect per 10,000 fan 105 author per 10,000 1 dialect per 10,000 wee 105 author per 10,000 27 dialect per 10,000 nae 94 author per 10,000 22 dialect per 10,000 or 84 author per 10,000 33 dialect per 10,000 even 84 author per 10,000 4 dialect per 10,000 play 84 author per 10,000 2 dialect per 10,000 bit 73 author per 10,000 10 dialect per 10,000 me 73 author per 10,000 24 dialect per 10,000 and 73 author per 10,000 10 dialect per 10,000 thi 73 author per 10,000 0 dialect per 10,000 room 73 author per 10,000 1 dialect per 10,000 €™m 73 author per 10,000 1 dialect per 10,000 up 73 author per 10,000 32 dialect per 10,000 if 63 author per 10,000 14 dialect per 10,000 right 63 author per 10,000 1 dialect per 10,000 time 63 author per 10,000 13 dialect per 10,000 you 63 author per 10,000 5 dialect per 10,000 ma 63 author per 10,000 23 dialect per 10,000 is 63 author per 10,000 18 dialect per 10,000 suppose 63 author per 10,000 1 dialect per 10,000 iways 52 author per 10,000 0 dialect per 10,000 neatly 52 author per 10,000 0 dialect per 10,000 for 52 author per 10,000 30 dialect per 10,000 thit 52 author per 10,000 0 dialect per 10,000 same 52 author per 10,000 5 dialect per 10,000 are 52 author per 10,000 4 dialect per 10,000 share 52 author per 10,000 0 dialect per 10,000 half 42 author per 10,000 2 dialect per 10,000 neat 42 author per 10,000 0 dialect per 10,000 see 42 author per 10,000 16 dialect per 10,000 jist 42 author per 10,000 8 dialect per 10,000 front 42 author per 10,000 1 dialect per 10,000 €™re 42 author per 10,000 1 dialect per 10,000 quite 42 author per 10,000 1 dialect per 10,000 sisters 42 author per 10,000 0 dialect per 10,000 aboot 42 author per 10,000 27 dialect per 10,000 they 31 author per 10,000 26 dialect per 10,000 as 31 author per 10,000 31 dialect per 10,000 ivery 31 author per 10,000 2 dialect per 10,000 though 31 author per 10,000 1 dialect per 10,000 happily 31 author per 10,000 0 dialect per 10,000 just 31 author per 10,000 1 dialect per 10,000 dinna 31 author per 10,000 0 dialect per 10,000 noo 31 author per 10,000 22 dialect per 10,000 say 31 author per 10,000 10 dialect per 10,000 affa 31 author per 10,000 0 dialect per 10,000 bed 31 author per 10,000 2 dialect per 10,000 made 31 author per 10,000 6 dialect per 10,000 dee 31 author per 10,000 1 dialect per 10,000 his 31 author per 10,000 25 dialect per 10,000 hid 31 author per 10,000 0 dialect per 10,000 folk 31 author per 10,000 4 dialect per 10,000 it's 31 author per 10,000 14 dialect per 10,000 yi 31 author per 10,000 0 dialect per 10,000 played 31 author per 10,000 1 dialect per 10,000 €™ve 31 author per 10,000 0 dialect per 10,000 want 31 author per 10,000 4 dialect per 10,000 baith 31 author per 10,000 6 dialect per 10,000 to 31 author per 10,000 3 dialect per 10,000 wisna 31 author per 10,000 0 dialect per 10,000 messy 31 author per 10,000 0 dialect per 10,000 awa 31 author per 10,000 17 dialect per 10,000 yir 31 author per 10,000 2 dialect per 10,000 so 31 author per 10,000 5 dialect per 10,000 mine 21 author per 10,000 10 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 athin 21 author per 10,000 1 dialect per 10,000 through 21 author per 10,000 3 dialect per 10,000 placed 21 author per 10,000 0 dialect per 10,000 ane 21 author per 10,000 0 dialect per 10,000 present 21 author per 10,000 0 dialect per 10,000 wind 21 author per 10,000 0 dialect per 10,000 almost 21 author per 10,000 0 dialect per 10,000 well 21 author per 10,000 2 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 fiddle 21 author per 10,000 0 dialect per 10,000 think 21 author per 10,000 7 dialect per 10,000 do 21 author per 10,000 0 dialect per 10,000 maist 21 author per 10,000 6 dialect per 10,000 could 21 author per 10,000 1 dialect per 10,000 near 21 author per 10,000 4 dialect per 10,000 fact 21 author per 10,000 0 dialect per 10,000 tree 21 author per 10,000 2 dialect per 10,000 oor 21 author per 10,000 15 dialect per 10,000 different 21 author per 10,000 1 dialect per 10,000 wardrobe 21 author per 10,000 0 dialect per 10,000 fit 21 author per 10,000 4 dialect per 10,000 loud 21 author per 10,000 1 dialect per 10,000 roon 21 author per 10,000 10 dialect per 10,000 that 21 author per 10,000 71 dialect per 10,000 really 21 author per 10,000 1 dialect per 10,000 countin 21 author per 10,000 0 dialect per 10,000 twa 21 author per 10,000 11 dialect per 10,000 centre 21 author per 10,000 1 dialect per 10,000 turns 21 author per 10,000 1 dialect per 10,000 masel 21 author per 10,000 1 dialect per 10,000 odd 21 author per 10,000 1 dialect per 10,000 there 21 author per 10,000 8 dialect per 10,000 of 21 author per 10,000 2 dialect per 10,000 anything 21 author per 10,000 0 dialect per 10,000 attention 21 author per 10,000 0 dialect per 10,000 mak 21 author per 10,000 10 dialect per 10,000 abidy 21 author per 10,000 0 dialect per 10,000 by 21 author per 10,000 7 dialect per 10,000 got 21 author per 10,000 9 dialect per 10,000 hide 21 author per 10,000 0 dialect per 10,000 wid 21 author per 10,000 1 dialect per 10,000 still 21 author per 10,000 4 dialect per 10,000 hear 21 author per 10,000 5 dialect per 10,000 iver 21 author per 10,000 5 dialect per 10,000 fae 21 author per 10,000 13 dialect per 10,000 hidin 21 author per 10,000 0 dialect per 10,000 no 21 author per 10,000 22 dialect per 10,000 kane 21 author per 10,000 0 dialect per 10,000 joke 21 author per 10,000 0 dialect per 10,000 game 21 author per 10,000 1 dialect per 10,000 needin 21 author per 10,000 0 dialect per 10,000 like 21 author per 10,000 9 dialect per 10,000 playin 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 49 dialect per 10,000 group 21 author per 10,000 0 dialect per 10,000 them 21 author per 10,000 8 dialect per 10,000 go 21 author per 10,000 5 dialect per 10,000 hiv 21 author per 10,000 0 dialect per 10,000 eleven 10 author per 10,000 0 dialect per 10,000 mannies 10 author per 10,000 0 dialect per 10,000 teamed 10 author per 10,000 0 dialect per 10,000 years 10 author per 10,000 2 dialect per 10,000 normal 10 author per 10,000 0 dialect per 10,000 wooden 10 author per 10,000 0 dialect per 10,000 average 10 author per 10,000 0 dialect per 10,000 breather 10 author per 10,000 0 dialect per 10,000 one 10 author per 10,000 0 dialect per 10,000 each 10 author per 10,000 1 dialect per 10,000 under 10 author per 10,000 0 dialect per 10,000 other 10 author per 10,000 0 dialect per 10,000 started 10 author per 10,000 0 dialect per 10,000 cause 10 author per 10,000 0 dialect per 10,000 argument 10 author per 10,000 0 dialect per 10,000 christmas 10 author per 10,000 0 dialect per 10,000 unmatchin 10 author per 10,000 0 dialect per 10,000 ongan 10 author per 10,000 0 dialect per 10,000 baubles 10 author per 10,000 0 dialect per 10,000 - 10 author per 10,000 25 dialect per 10,000 lights 10 author per 10,000 0 dialect per 10,000 fairy 10 author per 10,000 0 dialect per 10,000 glowin 10 author per 10,000 0 dialect per 10,000 bought 10 author per 10,000 0 dialect per 10,000 hae 10 author per 10,000 55 dialect per 10,000 since 10 author per 10,000 1 dialect per 10,000 anes 10 author per 10,000 0 dialect per 10,000 born 10 author per 10,000 0 dialect per 10,000 glass 10 author per 10,000 0 dialect per 10,000 bount 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 wrapped 10 author per 10,000 0 dialect per 10,000 quiet 10 author per 10,000 0 dialect per 10,000 came 10 author per 10,000 2 dialect per 10,000 eventually 10 author per 10,000 0 dialect per 10,000 turn 10 author per 10,000 3 dialect per 10,000 anymare 10 author per 10,000 0 dialect per 10,000 seek 10 author per 10,000 1 dialect per 10,000 tried 10 author per 10,000 1 dialect per 10,000 doll 10 author per 10,000 0 dialect per 10,000 naming 10 author per 10,000 0 dialect per 10,000 used 10 author per 10,000 0 dialect per 10,000 were 10 author per 10,000 4 dialect per 10,000 dollies 10 author per 10,000 0 dialect per 10,000 spen 10 author per 10,000 0 dialect per 10,000 setting 10 author per 10,000 0 dialect per 10,000 ages 10 author per 10,000 0 dialect per 10,000 sake 10 author per 10,000 0 dialect per 10,000 freezing 10 author per 10,000 0 dialect per 10,000 similar 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 1 dialect per 10,000 on 10 author per 10,000 57 dialect per 10,000 dark 10 author per 10,000 1 dialect per 10,000 come 10 author per 10,000 10 dialect per 10,000 earth 10 author per 10,000 1 dialect per 10,000 thinks 10 author per 10,000 0 dialect per 10,000 hair 10 author per 10,000 2 dialect per 10,000 eyes 10 author per 10,000 1 dialect per 10,000 our 10 author per 10,000 0 dialect per 10,000