A Corpus of 21st Century Scots Texts

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Mather, Michelle


Total words by this author in corpus - 109
Total unique words used by this author in corpus - 82
Ratio of total words to unique words - 1.329
Top ten most common words - tae, in, a, the, i, -, then, back, and, moving,

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
tae 550 author per 10,000 211 dialect per 10,000 in 459 author per 10,000 147 dialect per 10,000 a 367 author per 10,000 266 dialect per 10,000 the 367 author per 10,000 565 dialect per 10,000 i 275 author per 10,000 39 dialect per 10,000 - 275 author per 10,000 27 dialect per 10,000 then 275 author per 10,000 17 dialect per 10,000 back 183 author per 10,000 20 dialect per 10,000 and 183 author per 10,000 94 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 10 dialect per 10,000 it 183 author per 10,000 116 dialect per 10,000 for 183 author per 10,000 48 dialect per 10,000 moved 92 author per 10,000 1 dialect per 10,000 sunny 92 author per 10,000 1 dialect per 10,000 to 92 author per 10,000 9 dialect per 10,000 nearly 92 author per 10,000 1 dialect per 10,000 where 92 author per 10,000 3 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 9 dialect per 10,000 settle 92 author per 10,000 0 dialect per 10,000 fer 92 author per 10,000 4 dialect per 10,000 few 92 author per 10,000 3 dialect per 10,000 quite 92 author per 10,000 2 dialect per 10,000 years 92 author per 10,000 4 dialect per 10,000 wid 92 author per 10,000 8 dialect per 10,000 chicken 92 author per 10,000 0 dialect per 10,000 this 92 author per 10,000 41 dialect per 10,000 minute 92 author per 10,000 1 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 1 dialect per 10,000 come 92 author per 10,000 9 dialect per 10,000 yet 92 author per 10,000 3 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 6 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 2 dialect per 10,000 sooth 92 author per 10,000 1 dialect per 10,000 kent 92 author per 10,000 6 dialect per 10,000 move 92 author per 10,000 1 dialect per 10,000 am 92 author per 10,000 3 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 0 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 5 dialect per 10,000 born 92 author per 10,000 1 dialect per 10,000 doon 92 author per 10,000 18 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 0 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 0 dialect per 10,000 bit 92 author per 10,000 18 dialect per 10,000 deen 92 author per 10,000 0 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 185 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 106 dialect per 10,000 noo 92 author per 10,000 14 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 10 dialect per 10,000 big 92 author per 10,000 8 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 51 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 1 dialect per 10,000 months 92 author per 10,000 1 dialect per 10,000 aboot 92 author per 10,000 29 dialect per 10,000 did 92 author per 10,000 9 dialect per 10,000 an 92 author per 10,000 225 dialect per 10,000 oot 92 author per 10,000 40 dialect per 10,000 school 92 author per 10,000 3 dialect per 10,000 leavin 92 author per 10,000 1 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 7 dialect per 10,000 uk 92 author per 10,000 1 dialect per 10,000 came 92 author per 10,000 3 dialect per 10,000 was 92 author per 10,000 7 dialect per 10,000
Doric
tae 550 author per 10,000 171 dialect per 10,000 in 459 author per 10,000 130 dialect per 10,000 a 367 author per 10,000 315 dialect per 10,000 the 367 author per 10,000 452 dialect per 10,000 i 275 author per 10,000 68 dialect per 10,000 - 275 author per 10,000 28 dialect per 10,000 then 275 author per 10,000 9 dialect per 10,000 back 183 author per 10,000 21 dialect per 10,000 and 183 author per 10,000 41 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 14 dialect per 10,000 it 183 author per 10,000 99 dialect per 10,000 for 183 author per 10,000 45 dialect per 10,000 moved 92 author per 10,000 0 dialect per 10,000 sunny 92 author per 10,000 0 dialect per 10,000 to 92 author per 10,000 8 dialect per 10,000 nearly 92 author per 10,000 1 dialect per 10,000 where 92 author per 10,000 1 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 10 dialect per 10,000 settle 92 author per 10,000 0 dialect per 10,000 fer 92 author per 10,000 3 dialect per 10,000 few 92 author per 10,000 1 dialect per 10,000 quite 92 author per 10,000 2 dialect per 10,000 years 92 author per 10,000 3 dialect per 10,000 wid 92 author per 10,000 18 dialect per 10,000 chicken 92 author per 10,000 0 dialect per 10,000 this 92 author per 10,000 19 dialect per 10,000 minute 92 author per 10,000 0 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 1 dialect per 10,000 come 92 author per 10,000 13 dialect per 10,000 yet 92 author per 10,000 2 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 11 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 3 dialect per 10,000 sooth 92 author per 10,000 1 dialect per 10,000 kent 92 author per 10,000 8 dialect per 10,000 move 92 author per 10,000 1 dialect per 10,000 am 92 author per 10,000 4 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 0 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 1 dialect per 10,000 born 92 author per 10,000 1 dialect per 10,000 doon 92 author per 10,000 33 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 0 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 4 dialect per 10,000 bit 92 author per 10,000 43 dialect per 10,000 deen 92 author per 10,000 4 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 176 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 53 dialect per 10,000 noo 92 author per 10,000 23 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 10 dialect per 10,000 big 92 author per 10,000 6 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 50 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 0 dialect per 10,000 months 92 author per 10,000 1 dialect per 10,000 aboot 92 author per 10,000 33 dialect per 10,000 did 92 author per 10,000 10 dialect per 10,000 an 92 author per 10,000 306 dialect per 10,000 oot 92 author per 10,000 50 dialect per 10,000 school 92 author per 10,000 1 dialect per 10,000 leavin 92 author per 10,000 1 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 5 dialect per 10,000 uk 92 author per 10,000 0 dialect per 10,000 came 92 author per 10,000 4 dialect per 10,000 was 92 author per 10,000 10 dialect per 10,000
Shetland
tae 550 author per 10,000 86 dialect per 10,000 in 459 author per 10,000 105 dialect per 10,000 a 367 author per 10,000 280 dialect per 10,000 the 367 author per 10,000 18 dialect per 10,000 i 275 author per 10,000 143 dialect per 10,000 - 275 author per 10,000 53 dialect per 10,000 then 275 author per 10,000 1 dialect per 10,000 back 183 author per 10,000 18 dialect per 10,000 and 183 author per 10,000 15 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 15 dialect per 10,000 it 183 author per 10,000 58 dialect per 10,000 for 183 author per 10,000 35 dialect per 10,000 moved 92 author per 10,000 0 dialect per 10,000 sunny 92 author per 10,000 0 dialect per 10,000 to 92 author per 10,000 8 dialect per 10,000 nearly 92 author per 10,000 3 dialect per 10,000 where 92 author per 10,000 0 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 5 dialect per 10,000 settle 92 author per 10,000 1 dialect per 10,000 fer 92 author per 10,000 0 dialect per 10,000 few 92 author per 10,000 1 dialect per 10,000 quite 92 author per 10,000 0 dialect per 10,000 years 92 author per 10,000 4 dialect per 10,000 wid 92 author per 10,000 38 dialect per 10,000 chicken 92 author per 10,000 0 dialect per 10,000 this 92 author per 10,000 1 dialect per 10,000 minute 92 author per 10,000 0 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 1 dialect per 10,000 come 92 author per 10,000 19 dialect per 10,000 yet 92 author per 10,000 2 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 7 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 4 dialect per 10,000 sooth 92 author per 10,000 2 dialect per 10,000 kent 92 author per 10,000 10 dialect per 10,000 move 92 author per 10,000 1 dialect per 10,000 am 92 author per 10,000 4 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 1 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 1 dialect per 10,000 born 92 author per 10,000 1 dialect per 10,000 doon 92 author per 10,000 22 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 0 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 1 dialect per 10,000 bit 92 author per 10,000 38 dialect per 10,000 deen 92 author per 10,000 0 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 177 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 4 dialect per 10,000 noo 92 author per 10,000 19 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 9 dialect per 10,000 big 92 author per 10,000 3 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 0 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 0 dialect per 10,000 months 92 author per 10,000 0 dialect per 10,000 aboot 92 author per 10,000 41 dialect per 10,000 did 92 author per 10,000 9 dialect per 10,000 an 92 author per 10,000 330 dialect per 10,000 oot 92 author per 10,000 42 dialect per 10,000 school 92 author per 10,000 0 dialect per 10,000 leavin 92 author per 10,000 0 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 7 dialect per 10,000 uk 92 author per 10,000 0 dialect per 10,000 came 92 author per 10,000 0 dialect per 10,000 was 92 author per 10,000 3 dialect per 10,000
Orkney
tae 550 author per 10,000 223 dialect per 10,000 in 459 author per 10,000 146 dialect per 10,000 a 367 author per 10,000 298 dialect per 10,000 the 367 author per 10,000 582 dialect per 10,000 i 275 author per 10,000 158 dialect per 10,000 - 275 author per 10,000 76 dialect per 10,000 then 275 author per 10,000 18 dialect per 10,000 back 183 author per 10,000 26 dialect per 10,000 and 183 author per 10,000 199 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 12 dialect per 10,000 it 183 author per 10,000 23 dialect per 10,000 for 183 author per 10,000 26 dialect per 10,000 moved 92 author per 10,000 1 dialect per 10,000 sunny 92 author per 10,000 0 dialect per 10,000 to 92 author per 10,000 8 dialect per 10,000 nearly 92 author per 10,000 2 dialect per 10,000 where 92 author per 10,000 0 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 12 dialect per 10,000 settle 92 author per 10,000 0 dialect per 10,000 fer 92 author per 10,000 11 dialect per 10,000 few 92 author per 10,000 2 dialect per 10,000 quite 92 author per 10,000 2 dialect per 10,000 years 92 author per 10,000 2 dialect per 10,000 wid 92 author per 10,000 20 dialect per 10,000 chicken 92 author per 10,000 1 dialect per 10,000 this 92 author per 10,000 34 dialect per 10,000 minute 92 author per 10,000 0 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 1 dialect per 10,000 come 92 author per 10,000 11 dialect per 10,000 yet 92 author per 10,000 5 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 1 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 5 dialect per 10,000 sooth 92 author per 10,000 1 dialect per 10,000 kent 92 author per 10,000 6 dialect per 10,000 move 92 author per 10,000 1 dialect per 10,000 am 92 author per 10,000 6 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 3 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 0 dialect per 10,000 born 92 author per 10,000 1 dialect per 10,000 doon 92 author per 10,000 28 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 1 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 1 dialect per 10,000 bit 92 author per 10,000 48 dialect per 10,000 deen 92 author per 10,000 0 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 202 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 75 dialect per 10,000 noo 92 author per 10,000 27 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 6 dialect per 10,000 big 92 author per 10,000 7 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 1 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 0 dialect per 10,000 months 92 author per 10,000 1 dialect per 10,000 aboot 92 author per 10,000 26 dialect per 10,000 did 92 author per 10,000 8 dialect per 10,000 an 92 author per 10,000 172 dialect per 10,000 oot 92 author per 10,000 50 dialect per 10,000 school 92 author per 10,000 1 dialect per 10,000 leavin 92 author per 10,000 0 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 7 dialect per 10,000 uk 92 author per 10,000 0 dialect per 10,000 came 92 author per 10,000 1 dialect per 10,000 was 92 author per 10,000 2 dialect per 10,000
Southern
tae 550 author per 10,000 206 dialect per 10,000 in 459 author per 10,000 107 dialect per 10,000 a 367 author per 10,000 230 dialect per 10,000 the 367 author per 10,000 449 dialect per 10,000 i 275 author per 10,000 74 dialect per 10,000 - 275 author per 10,000 29 dialect per 10,000 then 275 author per 10,000 17 dialect per 10,000 back 183 author per 10,000 19 dialect per 10,000 and 183 author per 10,000 33 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 16 dialect per 10,000 it 183 author per 10,000 63 dialect per 10,000 for 183 author per 10,000 22 dialect per 10,000 moved 92 author per 10,000 1 dialect per 10,000 sunny 92 author per 10,000 0 dialect per 10,000 to 92 author per 10,000 1 dialect per 10,000 nearly 92 author per 10,000 2 dialect per 10,000 where 92 author per 10,000 6 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 2 dialect per 10,000 settle 92 author per 10,000 1 dialect per 10,000 fer 92 author per 10,000 2 dialect per 10,000 few 92 author per 10,000 2 dialect per 10,000 quite 92 author per 10,000 2 dialect per 10,000 years 92 author per 10,000 5 dialect per 10,000 wid 92 author per 10,000 1 dialect per 10,000 chicken 92 author per 10,000 0 dialect per 10,000 this 92 author per 10,000 35 dialect per 10,000 minute 92 author per 10,000 0 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 2 dialect per 10,000 come 92 author per 10,000 9 dialect per 10,000 yet 92 author per 10,000 4 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 8 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 1 dialect per 10,000 sooth 92 author per 10,000 0 dialect per 10,000 kent 92 author per 10,000 11 dialect per 10,000 move 92 author per 10,000 0 dialect per 10,000 am 92 author per 10,000 2 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 0 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 8 dialect per 10,000 born 92 author per 10,000 3 dialect per 10,000 doon 92 author per 10,000 24 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 0 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 3 dialect per 10,000 bit 92 author per 10,000 14 dialect per 10,000 deen 92 author per 10,000 0 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 200 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 65 dialect per 10,000 noo 92 author per 10,000 16 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 13 dialect per 10,000 big 92 author per 10,000 5 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 59 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 0 dialect per 10,000 months 92 author per 10,000 1 dialect per 10,000 aboot 92 author per 10,000 29 dialect per 10,000 did 92 author per 10,000 11 dialect per 10,000 an 92 author per 10,000 289 dialect per 10,000 oot 92 author per 10,000 34 dialect per 10,000 school 92 author per 10,000 0 dialect per 10,000 leavin 92 author per 10,000 1 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 5 dialect per 10,000 uk 92 author per 10,000 0 dialect per 10,000 came 92 author per 10,000 6 dialect per 10,000 was 92 author per 10,000 58 dialect per 10,000
Ulster
tae 550 author per 10,000 253 dialect per 10,000 in 459 author per 10,000 121 dialect per 10,000 a 367 author per 10,000 287 dialect per 10,000 the 367 author per 10,000 345 dialect per 10,000 i 275 author per 10,000 16 dialect per 10,000 - 275 author per 10,000 25 dialect per 10,000 then 275 author per 10,000 17 dialect per 10,000 back 183 author per 10,000 2 dialect per 10,000 and 183 author per 10,000 10 dialect per 10,000 moving 183 author per 10,000 0 dialect per 10,000 afore 183 author per 10,000 12 dialect per 10,000 it 183 author per 10,000 73 dialect per 10,000 for 183 author per 10,000 30 dialect per 10,000 moved 92 author per 10,000 0 dialect per 10,000 sunny 92 author per 10,000 0 dialect per 10,000 to 92 author per 10,000 3 dialect per 10,000 nearly 92 author per 10,000 1 dialect per 10,000 where 92 author per 10,000 1 dialect per 10,000 gateshead 92 author per 10,000 0 dialect per 10,000 again 92 author per 10,000 3 dialect per 10,000 settle 92 author per 10,000 1 dialect per 10,000 fer 92 author per 10,000 31 dialect per 10,000 few 92 author per 10,000 0 dialect per 10,000 quite 92 author per 10,000 1 dialect per 10,000 years 92 author per 10,000 2 dialect per 10,000 wid 92 author per 10,000 1 dialect per 10,000 chicken 92 author per 10,000 1 dialect per 10,000 this 92 author per 10,000 27 dialect per 10,000 minute 92 author per 10,000 2 dialect per 10,000 atthe 92 author per 10,000 0 dialect per 10,000 may 92 author per 10,000 2 dialect per 10,000 come 92 author per 10,000 10 dialect per 10,000 yet 92 author per 10,000 1 dialect per 10,000 roose 92 author per 10,000 0 dialect per 10,000 hame 92 author per 10,000 10 dialect per 10,000 market 92 author per 10,000 0 dialect per 10,000 property 92 author per 10,000 0 dialect per 10,000 love 92 author per 10,000 2 dialect per 10,000 sooth 92 author per 10,000 1 dialect per 10,000 kent 92 author per 10,000 1 dialect per 10,000 move 92 author per 10,000 1 dialect per 10,000 am 92 author per 10,000 4 dialect per 10,000 shopping 92 author per 10,000 0 dialect per 10,000 window 92 author per 10,000 0 dialect per 10,000 currently 92 author per 10,000 0 dialect per 10,000 sittingbourne 92 author per 10,000 0 dialect per 10,000 stint 92 author per 10,000 0 dialect per 10,000 n 92 author per 10,000 1 dialect per 10,000 born 92 author per 10,000 0 dialect per 10,000 doon 92 author per 10,000 28 dialect per 10,000 bred 92 author per 10,000 0 dialect per 10,000 buckie 92 author per 10,000 0 dialect per 10,000 worked 92 author per 10,000 0 dialect per 10,000 sloch 92 author per 10,000 0 dialect per 10,000 writing 92 author per 10,000 0 dialect per 10,000 im 92 author per 10,000 0 dialect per 10,000 bit 92 author per 10,000 10 dialect per 10,000 deen 92 author per 10,000 0 dialect per 10,000 ive 92 author per 10,000 0 dialect per 10,000 o 92 author per 10,000 208 dialect per 10,000 galavantin 92 author per 10,000 0 dialect per 10,000 that 92 author per 10,000 71 dialect per 10,000 noo 92 author per 10,000 22 dialect per 10,000 banff 92 author per 10,000 0 dialect per 10,000 efter 92 author per 10,000 6 dialect per 10,000 big 92 author per 10,000 8 dialect per 10,000 crikey 92 author per 10,000 0 dialect per 10,000 ma 92 author per 10,000 23 dialect per 10,000 smoke 92 author per 10,000 0 dialect per 10,000 edinburgh 92 author per 10,000 0 dialect per 10,000 months 92 author per 10,000 0 dialect per 10,000 aboot 92 author per 10,000 27 dialect per 10,000 did 92 author per 10,000 5 dialect per 10,000 an 92 author per 10,000 358 dialect per 10,000 oot 92 author per 10,000 49 dialect per 10,000 school 92 author per 10,000 1 dialect per 10,000 leavin 92 author per 10,000 0 dialect per 10,000 paris 92 author per 10,000 0 dialect per 10,000 year 92 author per 10,000 2 dialect per 10,000 uk 92 author per 10,000 2 dialect per 10,000 came 92 author per 10,000 2 dialect per 10,000 was 92 author per 10,000 22 dialect per 10,000