A Corpus of 21st Century Scots Texts

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Cara, Dillon, Ami and Travis


Total words by this author in corpus - 272
Total unique words used by this author in corpus - 135
Ratio of total words to unique words - 2.015
Top ten most common words - the, tae, they, it, a, bogle, and, watter, cried, was,

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 735 author per 10,000 561 dialect per 10,000 tae 441 author per 10,000 211 dialect per 10,000 they 404 author per 10,000 43 dialect per 10,000 it 331 author per 10,000 118 dialect per 10,000 a 331 author per 10,000 262 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 107 dialect per 10,000 watter 184 author per 10,000 3 dialect per 10,000 cried 184 author per 10,000 4 dialect per 10,000 was 184 author per 10,000 7 dialect per 10,000 but 147 author per 10,000 48 dialect per 10,000 he 147 author per 10,000 92 dialect per 10,000 on 147 author per 10,000 55 dialect per 10,000 lang 110 author per 10,000 9 dialect per 10,000 at 110 author per 10,000 58 dialect per 10,000 in 110 author per 10,000 148 dialect per 10,000 that 110 author per 10,000 108 dialect per 10,000 wee 110 author per 10,000 27 dialect per 10,000 matthew 110 author per 10,000 0 dialect per 10,000 so 110 author per 10,000 9 dialect per 10,000 muckle 110 author per 10,000 10 dialect per 10,000 came 74 author per 10,000 3 dialect per 10,000 bucket 74 author per 10,000 0 dialect per 10,000 fae 74 author per 10,000 27 dialect per 10,000 doon 74 author per 10,000 18 dialect per 10,000 magic 74 author per 10,000 1 dialect per 10,000 wha 74 author per 10,000 8 dialect per 10,000 them 74 author per 10,000 18 dialect per 10,000 flew 74 author per 10,000 0 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 0 dialect per 10,000 plan 74 author per 10,000 1 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 12 dialect per 10,000 to 74 author per 10,000 9 dialect per 10,000 dug 74 author per 10,000 2 dialect per 10,000 way 74 author per 10,000 3 dialect per 10,000 ben 74 author per 10,000 2 dialect per 10,000 said 74 author per 10,000 42 dialect per 10,000 loch 74 author per 10,000 1 dialect per 10,000 up 74 author per 10,000 40 dialect per 10,000 freya 74 author per 10,000 0 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 25 dialect per 10,000 had 74 author per 10,000 24 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 5 dialect per 10,000 lane 74 author per 10,000 1 dialect per 10,000 laddie 74 author per 10,000 3 dialect per 10,000 n 74 author per 10,000 2 dialect per 10,000 o 74 author per 10,000 189 dialect per 10,000 road 37 author per 10,000 3 dialect per 10,000 lum 37 author per 10,000 0 dialect per 10,000 as 37 author per 10,000 60 dialect per 10,000 sleekit 37 author per 10,000 1 dialect per 10,000 be 37 author per 10,000 49 dialect per 10,000 fund 37 author per 10,000 3 dialect per 10,000 waited 37 author per 10,000 0 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 47 dialect per 10,000 not 37 author per 10,000 2 dialect per 10,000 wi 37 author per 10,000 65 dialect per 10,000 filled 37 author per 10,000 0 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 1 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 16 dialect per 10,000 able 37 author per 10,000 2 dialect per 10,000 again 37 author per 10,000 8 dialect per 10,000 return 37 author per 10,000 0 dialect per 10,000 never 37 author per 10,000 6 dialect per 10,000 go 37 author per 10,000 6 dialect per 10,000 hame 37 author per 10,000 6 dialect per 10,000 efter 37 author per 10,000 10 dialect per 10,000 ever 37 author per 10,000 3 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 11 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 2 dialect per 10,000 were 37 author per 10,000 16 dialect per 10,000 whit 37 author per 10,000 29 dialect per 10,000 ken 37 author per 10,000 14 dialect per 10,000 enough 37 author per 10,000 3 dialect per 10,000 if 37 author per 10,000 18 dialect per 10,000 til 37 author per 10,000 5 dialect per 10,000 splashed 37 author per 10,000 0 dialect per 10,000 beside 37 author per 10,000 0 dialect per 10,000 richt 37 author per 10,000 12 dialect per 10,000 let 37 author per 10,000 4 dialect per 10,000 jumping 37 author per 10,000 0 dialect per 10,000 meet 37 author per 10,000 1 dialect per 10,000 whar 37 author per 10,000 1 dialect per 10,000 sure 37 author per 10,000 2 dialect per 10,000 really 37 author per 10,000 4 dialect per 10,000 met 37 author per 10,000 1 dialect per 10,000 talking 37 author per 10,000 0 dialect per 10,000 €˜aye 37 author per 10,000 1 dialect per 10,000 adventure 37 author per 10,000 0 dialect per 10,000 join 37 author per 10,000 0 dialect per 10,000 asked 37 author per 10,000 2 dialect per 10,000 naebody 37 author per 10,000 2 dialect per 10,000 wid 37 author per 10,000 9 dialect per 10,000 ane 37 author per 10,000 9 dialect per 10,000 syne 37 author per 10,000 6 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 ago 37 author per 10,000 1 dialect per 10,000 day 37 author per 10,000 14 dialect per 10,000 decided 37 author per 10,000 1 dialect per 10,000 oot 37 author per 10,000 40 dialect per 10,000 toon 37 author per 10,000 1 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 46 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 36 dialect per 10,000 kent 37 author per 10,000 6 dialect per 10,000 because 37 author per 10,000 3 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 60 dialect per 10,000 stand 37 author per 10,000 1 dialect per 10,000 canna 37 author per 10,000 3 dialect per 10,000 €“ 37 author per 10,000 5 dialect per 10,000 use 37 author per 10,000 1 dialect per 10,000 find 37 author per 10,000 3 dialect per 10,000 wis 37 author per 10,000 99 dialect per 10,000 hoose 37 author per 10,000 7 dialect per 10,000 first 37 author per 10,000 9 dialect per 10,000 their 37 author per 10,000 18 dialect per 10,000 james 37 author per 10,000 1 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 10 dialect per 10,000 thought 37 author per 10,000 2 dialect per 10,000 help 37 author per 10,000 4 dialect per 10,000 went 37 author per 10,000 7 dialect per 10,000 		Doric
the 735 author per 10,000 467 dialect per 10,000 tae 441 author per 10,000 165 dialect per 10,000 they 404 author per 10,000 38 dialect per 10,000 it 331 author per 10,000 103 dialect per 10,000 a 331 author per 10,000 296 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 43 dialect per 10,000 watter 184 author per 10,000 4 dialect per 10,000 cried 184 author per 10,000 3 dialect per 10,000 was 184 author per 10,000 5 dialect per 10,000 but 147 author per 10,000 23 dialect per 10,000 he 147 author per 10,000 96 dialect per 10,000 on 147 author per 10,000 67 dialect per 10,000 lang 110 author per 10,000 13 dialect per 10,000 at 110 author per 10,000 70 dialect per 10,000 in 110 author per 10,000 135 dialect per 10,000 that 110 author per 10,000 50 dialect per 10,000 wee 110 author per 10,000 18 dialect per 10,000 matthew 110 author per 10,000 1 dialect per 10,000 so 110 author per 10,000 14 dialect per 10,000 muckle 110 author per 10,000 10 dialect per 10,000 came 74 author per 10,000 5 dialect per 10,000 bucket 74 author per 10,000 0 dialect per 10,000 fae 74 author per 10,000 27 dialect per 10,000 doon 74 author per 10,000 34 dialect per 10,000 magic 74 author per 10,000 1 dialect per 10,000 wha 74 author per 10,000 1 dialect per 10,000 them 74 author per 10,000 25 dialect per 10,000 flew 74 author per 10,000 0 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 1 dialect per 10,000 plan 74 author per 10,000 0 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 14 dialect per 10,000 to 74 author per 10,000 8 dialect per 10,000 dug 74 author per 10,000 1 dialect per 10,000 way 74 author per 10,000 2 dialect per 10,000 ben 74 author per 10,000 3 dialect per 10,000 said 74 author per 10,000 39 dialect per 10,000 loch 74 author per 10,000 1 dialect per 10,000 up 74 author per 10,000 45 dialect per 10,000 freya 74 author per 10,000 0 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 22 dialect per 10,000 had 74 author per 10,000 3 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 12 dialect per 10,000 lane 74 author per 10,000 0 dialect per 10,000 laddie 74 author per 10,000 1 dialect per 10,000 n 74 author per 10,000 1 dialect per 10,000 o 74 author per 10,000 181 dialect per 10,000 road 37 author per 10,000 4 dialect per 10,000 lum 37 author per 10,000 1 dialect per 10,000 as 37 author per 10,000 56 dialect per 10,000 sleekit 37 author per 10,000 0 dialect per 10,000 be 37 author per 10,000 47 dialect per 10,000 fund 37 author per 10,000 0 dialect per 10,000 waited 37 author per 10,000 1 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 44 dialect per 10,000 not 37 author per 10,000 1 dialect per 10,000 wi 37 author per 10,000 82 dialect per 10,000 filled 37 author per 10,000 0 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 34 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 10 dialect per 10,000 able 37 author per 10,000 1 dialect per 10,000 again 37 author per 10,000 11 dialect per 10,000 return 37 author per 10,000 0 dialect per 10,000 never 37 author per 10,000 2 dialect per 10,000 go 37 author per 10,000 4 dialect per 10,000 hame 37 author per 10,000 12 dialect per 10,000 efter 37 author per 10,000 10 dialect per 10,000 ever 37 author per 10,000 1 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 22 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 2 dialect per 10,000 were 37 author per 10,000 13 dialect per 10,000 whit 37 author per 10,000 1 dialect per 10,000 ken 37 author per 10,000 23 dialect per 10,000 enough 37 author per 10,000 2 dialect per 10,000 if 37 author per 10,000 18 dialect per 10,000 til 37 author per 10,000 2 dialect per 10,000 splashed 37 author per 10,000 0 dialect per 10,000 beside 37 author per 10,000 0 dialect per 10,000 richt 37 author per 10,000 18 dialect per 10,000 let 37 author per 10,000 5 dialect per 10,000 jumping 37 author per 10,000 0 dialect per 10,000 meet 37 author per 10,000 1 dialect per 10,000 whar 37 author per 10,000 0 dialect per 10,000 sure 37 author per 10,000 4 dialect per 10,000 really 37 author per 10,000 4 dialect per 10,000 met 37 author per 10,000 1 dialect per 10,000 talking 37 author per 10,000 0 dialect per 10,000 €˜aye 37 author per 10,000 0 dialect per 10,000 adventure 37 author per 10,000 0 dialect per 10,000 join 37 author per 10,000 0 dialect per 10,000 asked 37 author per 10,000 2 dialect per 10,000 naebody 37 author per 10,000 3 dialect per 10,000 wid 37 author per 10,000 17 dialect per 10,000 ane 37 author per 10,000 5 dialect per 10,000 syne 37 author per 10,000 12 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 ago 37 author per 10,000 1 dialect per 10,000 day 37 author per 10,000 29 dialect per 10,000 decided 37 author per 10,000 1 dialect per 10,000 oot 37 author per 10,000 48 dialect per 10,000 toon 37 author per 10,000 4 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 9 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 20 dialect per 10,000 kent 37 author per 10,000 8 dialect per 10,000 because 37 author per 10,000 2 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 43 dialect per 10,000 stand 37 author per 10,000 0 dialect per 10,000 canna 37 author per 10,000 8 dialect per 10,000 €“ 37 author per 10,000 6 dialect per 10,000 use 37 author per 10,000 2 dialect per 10,000 find 37 author per 10,000 2 dialect per 10,000 wis 37 author per 10,000 104 dialect per 10,000 hoose 37 author per 10,000 11 dialect per 10,000 first 37 author per 10,000 7 dialect per 10,000 their 37 author per 10,000 20 dialect per 10,000 james 37 author per 10,000 0 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 7 dialect per 10,000 thought 37 author per 10,000 0 dialect per 10,000 help 37 author per 10,000 4 dialect per 10,000 went 37 author per 10,000 5 dialect per 10,000
Shetland
the 735 author per 10,000 18 dialect per 10,000 tae 441 author per 10,000 86 dialect per 10,000 they 404 author per 10,000 2 dialect per 10,000 it 331 author per 10,000 58 dialect per 10,000 a 331 author per 10,000 280 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 15 dialect per 10,000 watter 184 author per 10,000 3 dialect per 10,000 cried 184 author per 10,000 2 dialect per 10,000 was 184 author per 10,000 3 dialect per 10,000 but 147 author per 10,000 28 dialect per 10,000 he 147 author per 10,000 103 dialect per 10,000 on 147 author per 10,000 52 dialect per 10,000 lang 110 author per 10,000 11 dialect per 10,000 at 110 author per 10,000 112 dialect per 10,000 in 110 author per 10,000 105 dialect per 10,000 that 110 author per 10,000 4 dialect per 10,000 wee 110 author per 10,000 0 dialect per 10,000 matthew 110 author per 10,000 1 dialect per 10,000 so 110 author per 10,000 26 dialect per 10,000 muckle 110 author per 10,000 12 dialect per 10,000 came 74 author per 10,000 0 dialect per 10,000 bucket 74 author per 10,000 0 dialect per 10,000 fae 74 author per 10,000 40 dialect per 10,000 doon 74 author per 10,000 23 dialect per 10,000 magic 74 author per 10,000 1 dialect per 10,000 wha 74 author per 10,000 5 dialect per 10,000 them 74 author per 10,000 1 dialect per 10,000 flew 74 author per 10,000 0 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 0 dialect per 10,000 plan 74 author per 10,000 1 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 8 dialect per 10,000 to 74 author per 10,000 8 dialect per 10,000 dug 74 author per 10,000 2 dialect per 10,000 way 74 author per 10,000 0 dialect per 10,000 ben 74 author per 10,000 0 dialect per 10,000 said 74 author per 10,000 61 dialect per 10,000 loch 74 author per 10,000 2 dialect per 10,000 up 74 author per 10,000 42 dialect per 10,000 freya 74 author per 10,000 1 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 1 dialect per 10,000 had 74 author per 10,000 2 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 3 dialect per 10,000 lane 74 author per 10,000 1 dialect per 10,000 laddie 74 author per 10,000 0 dialect per 10,000 n 74 author per 10,000 1 dialect per 10,000 o 74 author per 10,000 177 dialect per 10,000 road 37 author per 10,000 0 dialect per 10,000 lum 37 author per 10,000 1 dialect per 10,000 as 37 author per 10,000 79 dialect per 10,000 sleekit 37 author per 10,000 0 dialect per 10,000 be 37 author per 10,000 55 dialect per 10,000 fund 37 author per 10,000 0 dialect per 10,000 waited 37 author per 10,000 0 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 35 dialect per 10,000 not 37 author per 10,000 2 dialect per 10,000 wi 37 author per 10,000 95 dialect per 10,000 filled 37 author per 10,000 1 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 1 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 1 dialect per 10,000 able 37 author per 10,000 2 dialect per 10,000 again 37 author per 10,000 5 dialect per 10,000 return 37 author per 10,000 0 dialect per 10,000 never 37 author per 10,000 7 dialect per 10,000 go 37 author per 10,000 2 dialect per 10,000 hame 37 author per 10,000 7 dialect per 10,000 efter 37 author per 10,000 9 dialect per 10,000 ever 37 author per 10,000 5 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 13 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 0 dialect per 10,000 were 37 author per 10,000 3 dialect per 10,000 whit 37 author per 10,000 39 dialect per 10,000 ken 37 author per 10,000 14 dialect per 10,000 enough 37 author per 10,000 0 dialect per 10,000 if 37 author per 10,000 25 dialect per 10,000 til 37 author per 10,000 2 dialect per 10,000 splashed 37 author per 10,000 0 dialect per 10,000 beside 37 author per 10,000 0 dialect per 10,000 richt 37 author per 10,000 13 dialect per 10,000 let 37 author per 10,000 1 dialect per 10,000 jumping 37 author per 10,000 0 dialect per 10,000 meet 37 author per 10,000 1 dialect per 10,000 whar 37 author per 10,000 1 dialect per 10,000 sure 37 author per 10,000 4 dialect per 10,000 really 37 author per 10,000 2 dialect per 10,000 met 37 author per 10,000 1 dialect per 10,000 talking 37 author per 10,000 0 dialect per 10,000 €˜aye 37 author per 10,000 0 dialect per 10,000 adventure 37 author per 10,000 0 dialect per 10,000 join 37 author per 10,000 0 dialect per 10,000 asked 37 author per 10,000 0 dialect per 10,000 naebody 37 author per 10,000 3 dialect per 10,000 wid 37 author per 10,000 38 dialect per 10,000 ane 37 author per 10,000 4 dialect per 10,000 syne 37 author per 10,000 1 dialect per 10,000 days 37 author per 10,000 3 dialect per 10,000 ago 37 author per 10,000 2 dialect per 10,000 day 37 author per 10,000 18 dialect per 10,000 decided 37 author per 10,000 0 dialect per 10,000 oot 37 author per 10,000 42 dialect per 10,000 toon 37 author per 10,000 3 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 17 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 16 dialect per 10,000 kent 37 author per 10,000 10 dialect per 10,000 because 37 author per 10,000 0 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 81 dialect per 10,000 stand 37 author per 10,000 0 dialect per 10,000 canna 37 author per 10,000 9 dialect per 10,000 €“ 37 author per 10,000 2 dialect per 10,000 use 37 author per 10,000 1 dialect per 10,000 find 37 author per 10,000 0 dialect per 10,000 wis 37 author per 10,000 161 dialect per 10,000 hoose 37 author per 10,000 8 dialect per 10,000 first 37 author per 10,000 10 dialect per 10,000 their 37 author per 10,000 1 dialect per 10,000 james 37 author per 10,000 0 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 11 dialect per 10,000 thought 37 author per 10,000 0 dialect per 10,000 help 37 author per 10,000 3 dialect per 10,000 went 37 author per 10,000 0 dialect per 10,000 		Orkney
the 735 author per 10,000 581 dialect per 10,000 tae 441 author per 10,000 222 dialect per 10,000 they 404 author per 10,000 35 dialect per 10,000 it 331 author per 10,000 23 dialect per 10,000 a 331 author per 10,000 296 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 191 dialect per 10,000 watter 184 author per 10,000 4 dialect per 10,000 cried 184 author per 10,000 1 dialect per 10,000 was 184 author per 10,000 2 dialect per 10,000 but 147 author per 10,000 28 dialect per 10,000 he 147 author per 10,000 88 dialect per 10,000 on 147 author per 10,000 73 dialect per 10,000 lang 110 author per 10,000 2 dialect per 10,000 at 110 author per 10,000 53 dialect per 10,000 in 110 author per 10,000 147 dialect per 10,000 that 110 author per 10,000 75 dialect per 10,000 wee 110 author per 10,000 1 dialect per 10,000 matthew 110 author per 10,000 0 dialect per 10,000 so 110 author per 10,000 29 dialect per 10,000 muckle 110 author per 10,000 6 dialect per 10,000 came 74 author per 10,000 1 dialect per 10,000 bucket 74 author per 10,000 1 dialect per 10,000 fae 74 author per 10,000 37 dialect per 10,000 doon 74 author per 10,000 28 dialect per 10,000 magic 74 author per 10,000 0 dialect per 10,000 wha 74 author per 10,000 4 dialect per 10,000 them 74 author per 10,000 17 dialect per 10,000 flew 74 author per 10,000 1 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 0 dialect per 10,000 plan 74 author per 10,000 1 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 12 dialect per 10,000 to 74 author per 10,000 9 dialect per 10,000 dug 74 author per 10,000 0 dialect per 10,000 way 74 author per 10,000 1 dialect per 10,000 ben 74 author per 10,000 1 dialect per 10,000 said 74 author per 10,000 15 dialect per 10,000 loch 74 author per 10,000 1 dialect per 10,000 up 74 author per 10,000 33 dialect per 10,000 freya 74 author per 10,000 0 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 18 dialect per 10,000 had 74 author per 10,000 2 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 0 dialect per 10,000 lane 74 author per 10,000 0 dialect per 10,000 laddie 74 author per 10,000 0 dialect per 10,000 n 74 author per 10,000 0 dialect per 10,000 o 74 author per 10,000 199 dialect per 10,000 road 37 author per 10,000 5 dialect per 10,000 lum 37 author per 10,000 0 dialect per 10,000 as 37 author per 10,000 48 dialect per 10,000 sleekit 37 author per 10,000 0 dialect per 10,000 be 37 author per 10,000 42 dialect per 10,000 fund 37 author per 10,000 4 dialect per 10,000 waited 37 author per 10,000 1 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 24 dialect per 10,000 not 37 author per 10,000 2 dialect per 10,000 wi 37 author per 10,000 48 dialect per 10,000 filled 37 author per 10,000 1 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 93 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 18 dialect per 10,000 able 37 author per 10,000 1 dialect per 10,000 again 37 author per 10,000 12 dialect per 10,000 return 37 author per 10,000 1 dialect per 10,000 never 37 author per 10,000 3 dialect per 10,000 go 37 author per 10,000 10 dialect per 10,000 hame 37 author per 10,000 1 dialect per 10,000 efter 37 author per 10,000 6 dialect per 10,000 ever 37 author per 10,000 1 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 1 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 5 dialect per 10,000 were 37 author per 10,000 7 dialect per 10,000 whit 37 author per 10,000 29 dialect per 10,000 ken 37 author per 10,000 15 dialect per 10,000 enough 37 author per 10,000 3 dialect per 10,000 if 37 author per 10,000 15 dialect per 10,000 til 37 author per 10,000 1 dialect per 10,000 splashed 37 author per 10,000 0 dialect per 10,000 beside 37 author per 10,000 1 dialect per 10,000 richt 37 author per 10,000 0 dialect per 10,000 let 37 author per 10,000 3 dialect per 10,000 jumping 37 author per 10,000 0 dialect per 10,000 meet 37 author per 10,000 2 dialect per 10,000 whar 37 author per 10,000 11 dialect per 10,000 sure 37 author per 10,000 5 dialect per 10,000 really 37 author per 10,000 4 dialect per 10,000 met 37 author per 10,000 2 dialect per 10,000 talking 37 author per 10,000 0 dialect per 10,000 €˜aye 37 author per 10,000 0 dialect per 10,000 adventure 37 author per 10,000 0 dialect per 10,000 join 37 author per 10,000 1 dialect per 10,000 asked 37 author per 10,000 2 dialect per 10,000 naebody 37 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 20 dialect per 10,000 ane 37 author per 10,000 1 dialect per 10,000 syne 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 ago 37 author per 10,000 2 dialect per 10,000 day 37 author per 10,000 21 dialect per 10,000 decided 37 author per 10,000 0 dialect per 10,000 oot 37 author per 10,000 51 dialect per 10,000 toon 37 author per 10,000 4 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 14 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 18 dialect per 10,000 kent 37 author per 10,000 5 dialect per 10,000 because 37 author per 10,000 1 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 73 dialect per 10,000 stand 37 author per 10,000 2 dialect per 10,000 canna 37 author per 10,000 3 dialect per 10,000 €“ 37 author per 10,000 14 dialect per 10,000 use 37 author per 10,000 2 dialect per 10,000 find 37 author per 10,000 3 dialect per 10,000 wis 37 author per 10,000 79 dialect per 10,000 hoose 37 author per 10,000 11 dialect per 10,000 first 37 author per 10,000 7 dialect per 10,000 their 37 author per 10,000 7 dialect per 10,000 james 37 author per 10,000 0 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 6 dialect per 10,000 thought 37 author per 10,000 0 dialect per 10,000 help 37 author per 10,000 2 dialect per 10,000 went 37 author per 10,000 1 dialect per 10,000
Southern
the 735 author per 10,000 434 dialect per 10,000 tae 441 author per 10,000 205 dialect per 10,000 they 404 author per 10,000 30 dialect per 10,000 it 331 author per 10,000 58 dialect per 10,000 a 331 author per 10,000 222 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 15 dialect per 10,000 watter 184 author per 10,000 1 dialect per 10,000 cried 184 author per 10,000 2 dialect per 10,000 was 184 author per 10,000 60 dialect per 10,000 but 147 author per 10,000 39 dialect per 10,000 he 147 author per 10,000 11 dialect per 10,000 on 147 author per 10,000 55 dialect per 10,000 lang 110 author per 10,000 13 dialect per 10,000 at 110 author per 10,000 75 dialect per 10,000 in 110 author per 10,000 105 dialect per 10,000 that 110 author per 10,000 61 dialect per 10,000 wee 110 author per 10,000 23 dialect per 10,000 matthew 110 author per 10,000 0 dialect per 10,000 so 110 author per 10,000 1 dialect per 10,000 muckle 110 author per 10,000 6 dialect per 10,000 came 74 author per 10,000 6 dialect per 10,000 bucket 74 author per 10,000 0 dialect per 10,000 fae 74 author per 10,000 0 dialect per 10,000 doon 74 author per 10,000 25 dialect per 10,000 magic 74 author per 10,000 0 dialect per 10,000 wha 74 author per 10,000 2 dialect per 10,000 them 74 author per 10,000 4 dialect per 10,000 flew 74 author per 10,000 0 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 1 dialect per 10,000 plan 74 author per 10,000 1 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 11 dialect per 10,000 to 74 author per 10,000 1 dialect per 10,000 dug 74 author per 10,000 1 dialect per 10,000 way 74 author per 10,000 1 dialect per 10,000 ben 74 author per 10,000 2 dialect per 10,000 said 74 author per 10,000 72 dialect per 10,000 loch 74 author per 10,000 1 dialect per 10,000 up 74 author per 10,000 42 dialect per 10,000 freya 74 author per 10,000 0 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 16 dialect per 10,000 had 74 author per 10,000 0 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 7 dialect per 10,000 lane 74 author per 10,000 1 dialect per 10,000 laddie 74 author per 10,000 2 dialect per 10,000 n 74 author per 10,000 9 dialect per 10,000 o 74 author per 10,000 210 dialect per 10,000 road 37 author per 10,000 6 dialect per 10,000 lum 37 author per 10,000 1 dialect per 10,000 as 37 author per 10,000 50 dialect per 10,000 sleekit 37 author per 10,000 0 dialect per 10,000 be 37 author per 10,000 9 dialect per 10,000 fund 37 author per 10,000 2 dialect per 10,000 waited 37 author per 10,000 2 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 20 dialect per 10,000 not 37 author per 10,000 0 dialect per 10,000 wi 37 author per 10,000 70 dialect per 10,000 filled 37 author per 10,000 1 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 0 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 17 dialect per 10,000 able 37 author per 10,000 1 dialect per 10,000 again 37 author per 10,000 3 dialect per 10,000 return 37 author per 10,000 0 dialect per 10,000 never 37 author per 10,000 4 dialect per 10,000 go 37 author per 10,000 1 dialect per 10,000 hame 37 author per 10,000 9 dialect per 10,000 efter 37 author per 10,000 14 dialect per 10,000 ever 37 author per 10,000 0 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 1 dialect per 10,000 awa 37 author per 10,000 15 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 0 dialect per 10,000 were 37 author per 10,000 17 dialect per 10,000 whit 37 author per 10,000 32 dialect per 10,000 ken 37 author per 10,000 18 dialect per 10,000 enough 37 author per 10,000 5 dialect per 10,000 if 37 author per 10,000 16 dialect per 10,000 til 37 author per 10,000 29 dialect per 10,000 splashed 37 author per 10,000 0 dialect per 10,000 beside 37 author per 10,000 0 dialect per 10,000 richt 37 author per 10,000 20 dialect per 10,000 let 37 author per 10,000 3 dialect per 10,000 jumping 37 author per 10,000 0 dialect per 10,000 meet 37 author per 10,000 1 dialect per 10,000 whar 37 author per 10,000 1 dialect per 10,000 sure 37 author per 10,000 1 dialect per 10,000 really 37 author per 10,000 2 dialect per 10,000 met 37 author per 10,000 1 dialect per 10,000 talking 37 author per 10,000 0 dialect per 10,000 €˜aye 37 author per 10,000 0 dialect per 10,000 adventure 37 author per 10,000 0 dialect per 10,000 join 37 author per 10,000 1 dialect per 10,000 asked 37 author per 10,000 3 dialect per 10,000 naebody 37 author per 10,000 2 dialect per 10,000 wid 37 author per 10,000 1 dialect per 10,000 ane 37 author per 10,000 9 dialect per 10,000 syne 37 author per 10,000 5 dialect per 10,000 days 37 author per 10,000 7 dialect per 10,000 ago 37 author per 10,000 1 dialect per 10,000 day 37 author per 10,000 16 dialect per 10,000 decided 37 author per 10,000 0 dialect per 10,000 oot 37 author per 10,000 35 dialect per 10,000 toon 37 author per 10,000 0 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 13 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 37 dialect per 10,000 kent 37 author per 10,000 12 dialect per 10,000 because 37 author per 10,000 2 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 62 dialect per 10,000 stand 37 author per 10,000 1 dialect per 10,000 canna 37 author per 10,000 2 dialect per 10,000 €“ 37 author per 10,000 5 dialect per 10,000 use 37 author per 10,000 0 dialect per 10,000 find 37 author per 10,000 1 dialect per 10,000 wis 37 author per 10,000 59 dialect per 10,000 hoose 37 author per 10,000 22 dialect per 10,000 first 37 author per 10,000 1 dialect per 10,000 their 37 author per 10,000 13 dialect per 10,000 james 37 author per 10,000 1 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 9 dialect per 10,000 thought 37 author per 10,000 0 dialect per 10,000 help 37 author per 10,000 2 dialect per 10,000 went 37 author per 10,000 14 dialect per 10,000 		Ulster
the 735 author per 10,000 296 dialect per 10,000 tae 441 author per 10,000 259 dialect per 10,000 they 404 author per 10,000 26 dialect per 10,000 it 331 author per 10,000 71 dialect per 10,000 a 331 author per 10,000 284 dialect per 10,000 bogle 294 author per 10,000 0 dialect per 10,000 and 294 author per 10,000 10 dialect per 10,000 watter 184 author per 10,000 3 dialect per 10,000 cried 184 author per 10,000 0 dialect per 10,000 was 184 author per 10,000 11 dialect per 10,000 but 147 author per 10,000 42 dialect per 10,000 he 147 author per 10,000 63 dialect per 10,000 on 147 author per 10,000 54 dialect per 10,000 lang 110 author per 10,000 12 dialect per 10,000 at 110 author per 10,000 58 dialect per 10,000 in 110 author per 10,000 120 dialect per 10,000 that 110 author per 10,000 72 dialect per 10,000 wee 110 author per 10,000 26 dialect per 10,000 matthew 110 author per 10,000 0 dialect per 10,000 so 110 author per 10,000 5 dialect per 10,000 muckle 110 author per 10,000 2 dialect per 10,000 came 74 author per 10,000 2 dialect per 10,000 bucket 74 author per 10,000 0 dialect per 10,000 fae 74 author per 10,000 14 dialect per 10,000 doon 74 author per 10,000 28 dialect per 10,000 magic 74 author per 10,000 0 dialect per 10,000 wha 74 author per 10,000 10 dialect per 10,000 them 74 author per 10,000 7 dialect per 10,000 flew 74 author per 10,000 0 dialect per 10,000 jeemy 74 author per 10,000 0 dialect per 10,000 abody 74 author per 10,000 0 dialect per 10,000 plan 74 author per 10,000 1 dialect per 10,000 snawflake 74 author per 10,000 0 dialect per 10,000 got 74 author per 10,000 9 dialect per 10,000 to 74 author per 10,000 2 dialect per 10,000 dug 74 author per 10,000 1 dialect per 10,000 way 74 author per 10,000 1 dialect per 10,000 ben 74 author per 10,000 1 dialect per 10,000 said 74 author per 10,000 29 dialect per 10,000 loch 74 author per 10,000 1 dialect per 10,000 up 74 author per 10,000 31 dialect per 10,000 freya 74 author per 10,000 0 dialect per 10,000 bawdrin 74 author per 10,000 0 dialect per 10,000 there 74 author per 10,000 6 dialect per 10,000 had 74 author per 10,000 15 dialect per 10,000 fight 74 author per 10,000 0 dialect per 10,000 nicht 74 author per 10,000 6 dialect per 10,000 lane 74 author per 10,000 2 dialect per 10,000 laddie 74 author per 10,000 0 dialect per 10,000 n 74 author per 10,000 1 dialect per 10,000 o 74 author per 10,000 210 dialect per 10,000 road 37 author per 10,000 2 dialect per 10,000 lum 37 author per 10,000 0 dialect per 10,000 as 37 author per 10,000 29 dialect per 10,000 sleekit 37 author per 10,000 1 dialect per 10,000 be 37 author per 10,000 40 dialect per 10,000 fund 37 author per 10,000 2 dialect per 10,000 waited 37 author per 10,000 0 dialect per 10,000 appear 37 author per 10,000 0 dialect per 10,000 for 37 author per 10,000 33 dialect per 10,000 not 37 author per 10,000 1 dialect per 10,000 wi 37 author per 10,000 61 dialect per 10,000 filled 37 author per 10,000 0 dialect per 10,000 jumpin 37 author per 10,000 0 dialect per 10,000 hid 37 author per 10,000 0 dialect per 10,000 drookit 37 author per 10,000 0 dialect per 10,000 then 37 author per 10,000 17 dialect per 10,000 able 37 author per 10,000 1 dialect per 10,000 again 37 author per 10,000 2 dialect per 10,000 return 37 author per 10,000 0 dialect per 10,000 never 37 author per 10,000 1 dialect per 10,000 go 37 author per 10,000 4 dialect per 10,000 hame 37 author per 10,000 9 dialect per 10,000 efter 37 author per 10,000 5 dialect per 10,000 ever 37 author per 10,000 0 dialect per 10,000 happily 37 author per 10,000 0 dialect per 10,000 live 37 author per 10,000 0 dialect per 10,000 awa 37 author per 10,000 16 dialect per 10,000 flegged 37 author per 10,000 0 dialect per 10,000 soon 37 author per 10,000 2 dialect per 10,000 were 37 author per 10,000 5 dialect per 10,000 whit 37 author per 10,000 2 dialect per 10,000 ken 37 author per 10,000 4 dialect per 10,000 enough 37 author per 10,000 0 dialect 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dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 ago 37 author per 10,000 1 dialect per 10,000 day 37 author per 10,000 15 dialect per 10,000 decided 37 author per 10,000 0 dialect per 10,000 oot 37 author per 10,000 51 dialect per 10,000 toon 37 author per 10,000 5 dialect per 10,000 bided 37 author per 10,000 0 dialect per 10,000 €™ 37 author per 10,000 16 dialect per 10,000 carried 37 author per 10,000 0 dialect per 10,000 €™s 37 author per 10,000 11 dialect per 10,000 kent 37 author per 10,000 1 dialect per 10,000 because 37 author per 10,000 0 dialect per 10,000 fleg 37 author per 10,000 0 dialect per 10,000 weakness 37 author per 10,000 0 dialect per 10,000 is 37 author per 10,000 19 dialect per 10,000 stand 37 author per 10,000 0 dialect per 10,000 canna 37 author per 10,000 0 dialect per 10,000 €“ 37 author per 10,000 0 dialect per 10,000 use 37 author per 10,000 1 dialect per 10,000 find 37 author per 10,000 0 dialect per 10,000 wis 37 author per 10,000 1 dialect per 10,000 hoose 37 author per 10,000 13 dialect per 10,000 first 37 author per 10,000 1 dialect per 10,000 their 37 author per 10,000 6 dialect per 10,000 james 37 author per 10,000 1 dialect per 10,000 wanted 37 author per 10,000 1 dialect per 10,000 of 37 author per 10,000 2 dialect per 10,000 thought 37 author per 10,000 0 dialect per 10,000 help 37 author per 10,000 2 dialect per 10,000 went 37 author per 10,000 12 dialect per 10,000