A Corpus of 21st Century Scots Texts

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McArthur, Kaydi


Total words by this author in corpus - 364
Total unique words used by this author in corpus - 168
Ratio of total words to unique words - 2.167
Top ten most common words - he, wis, the, a, o, in, and, um, it, james,

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
he 495 author per 10,000 92 dialect per 10,000 wis 440 author per 10,000 99 dialect per 10,000 the 330 author per 10,000 557 dialect per 10,000 a 330 author per 10,000 261 dialect per 10,000 o 275 author per 10,000 192 dialect per 10,000 in 275 author per 10,000 148 dialect per 10,000 and 220 author per 10,000 102 dialect per 10,000 um 192 author per 10,000 0 dialect per 10,000 it 165 author per 10,000 119 dialect per 10,000 james 165 author per 10,000 1 dialect per 10,000 i 165 author per 10,000 40 dialect per 10,000 his 165 author per 10,000 55 dialect per 10,000 duff 137 author per 10,000 0 dialect per 10,000 bit 137 author per 10,000 15 dialect per 10,000 they 137 author per 10,000 43 dialect per 10,000 caul 137 author per 10,000 0 dialect per 10,000 is 137 author per 10,000 61 dialect per 10,000 ti 137 author per 10,000 20 dialect per 10,000 teen 110 author per 10,000 0 dialect per 10,000 at 110 author per 10,000 58 dialect per 10,000 so 110 author per 10,000 9 dialect per 10,000 lord 110 author per 10,000 1 dialect per 10,000 affa 110 author per 10,000 0 dialect per 10,000 time 110 author per 10,000 17 dialect per 10,000 wee 110 author per 10,000 27 dialect per 10,000 ere 82 author per 10,000 0 dialect per 10,000 got 82 author per 10,000 12 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 28 dialect per 10,000 on 82 author per 10,000 56 dialect per 10,000 oot 82 author per 10,000 39 dialect per 10,000 doon 82 author per 10,000 17 dialect per 10,000 folk 82 author per 10,000 4 dialect per 10,000 caught 55 author per 10,000 1 dialect per 10,000 ower 55 author per 10,000 18 dialect per 10,000 fan 55 author per 10,000 0 dialect per 10,000 him 55 author per 10,000 30 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 0 dialect per 10,000 tae 55 author per 10,000 212 dialect per 10,000 day 55 author per 10,000 13 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 110 dialect per 10,000 fae 55 author per 10,000 27 dialect per 10,000 stuck 55 author per 10,000 1 dialect per 10,000 hing 55 author per 10,000 2 dialect per 10,000 een 55 author per 10,000 4 dialect per 10,000 for 55 author per 10,000 47 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 2 dialect per 10,000 aboot 55 author per 10,000 30 dialect per 10,000 bade 55 author per 10,000 0 dialect per 10,000 awa 55 author per 10,000 11 dialect per 10,000 sang 55 author per 10,000 2 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 1 dialect per 10,000 fiddle 55 author per 10,000 0 dialect per 10,000 didna 55 author per 10,000 5 dialect per 10,000 bein 55 author per 10,000 7 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 1 dialect per 10,000 gan 27 author per 10,000 0 dialect per 10,000 here 27 author per 10,000 12 dialect per 10,000 ess 27 author per 10,000 0 dialect per 10,000 up 27 author per 10,000 40 dialect per 10,000 hill 27 author per 10,000 1 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 3 dialect per 10,000 ma 27 author per 10,000 51 dialect per 10,000 taes 27 author per 10,000 0 dialect per 10,000 afore 27 author per 10,000 9 dialect per 10,000 be 27 author per 10,000 50 dialect per 10,000 wik 27 author per 10,000 0 dialect per 10,000 days 27 author per 10,000 5 dialect per 10,000 telt 27 author per 10,000 5 dialect per 10,000 i've 27 author per 10,000 1 dialect per 10,000 been 27 author per 10,000 19 dialect per 10,000 because 27 author per 10,000 3 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 6 dialect per 10,000 noticed 27 author per 10,000 1 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 0 dialect per 10,000 could 27 author per 10,000 9 dialect per 10,000 wrote 27 author per 10,000 1 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 1 dialect per 10,000 died 27 author per 10,000 1 dialect per 10,000 knee 27 author per 10,000 0 dialect per 10,000 half 27 author per 10,000 1 dialect per 10,000 changed 27 author per 10,000 0 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 1 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 3 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 2 dialect per 10,000 see 27 author per 10,000 17 dialect per 10,000 winted 27 author per 10,000 0 dialect per 10,000 went 27 author per 10,000 7 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 2 dialect per 10,000 loved 27 author per 10,000 1 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 18 dialect per 10,000 ay 27 author per 10,000 12 dialect per 10,000 gettin 27 author per 10,000 4 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 2 dialect per 10,000 bobbies 27 author per 10,000 0 dialect per 10,000 by 27 author per 10,000 16 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 0 dialect per 10,000 an 27 author per 10,000 217 dialect per 10,000 fine 27 author per 10,000 3 dialect per 10,000 far 27 author per 10,000 2 dialect per 10,000 land 27 author per 10,000 1 dialect per 10,000 upon 27 author per 10,000 1 dialect per 10,000 loonie 27 author per 10,000 0 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 4 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 0 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 4 dialect per 10,000 bun 27 author per 10,000 0 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 1 dialect per 10,000 three 27 author per 10,000 5 dialect per 10,000 kept 27 author per 10,000 2 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 7 dialect per 10,000 'it 27 author per 10,000 1 dialect per 10,000 wi 27 author per 10,000 65 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 4 dialect per 10,000 loaf 27 author per 10,000 0 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 1 dialect per 10,000 hoose 27 author per 10,000 7 dialect per 10,000 catch 27 author per 10,000 1 dialect per 10,000 go 27 author per 10,000 6 dialect per 10,000 after 27 author per 10,000 1 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 20 dialect per 10,000 eens 27 author per 10,000 0 dialect per 10,000 mony 27 author per 10,000 4 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000
Doric
he 495 author per 10,000 99 dialect per 10,000 wis 440 author per 10,000 107 dialect per 10,000 the 330 author per 10,000 483 dialect per 10,000 a 330 author per 10,000 295 dialect per 10,000 o 275 author per 10,000 183 dialect per 10,000 in 275 author per 10,000 136 dialect per 10,000 and 220 author per 10,000 45 dialect per 10,000 um 192 author per 10,000 0 dialect per 10,000 it 165 author per 10,000 106 dialect per 10,000 james 165 author per 10,000 0 dialect per 10,000 i 165 author per 10,000 73 dialect per 10,000 his 165 author per 10,000 73 dialect per 10,000 duff 137 author per 10,000 0 dialect per 10,000 bit 137 author per 10,000 45 dialect per 10,000 they 137 author per 10,000 37 dialect per 10,000 caul 137 author per 10,000 1 dialect per 10,000 is 137 author per 10,000 44 dialect per 10,000 ti 137 author per 10,000 6 dialect per 10,000 teen 110 author per 10,000 8 dialect per 10,000 at 110 author per 10,000 60 dialect per 10,000 so 110 author per 10,000 13 dialect per 10,000 lord 110 author per 10,000 3 dialect per 10,000 affa 110 author per 10,000 15 dialect per 10,000 time 110 author per 10,000 20 dialect per 10,000 wee 110 author per 10,000 19 dialect per 10,000 ere 82 author per 10,000 6 dialect per 10,000 got 82 author per 10,000 14 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 42 dialect per 10,000 on 82 author per 10,000 64 dialect per 10,000 oot 82 author per 10,000 51 dialect per 10,000 doon 82 author per 10,000 37 dialect per 10,000 folk 82 author per 10,000 4 dialect per 10,000 caught 55 author per 10,000 0 dialect per 10,000 ower 55 author per 10,000 29 dialect per 10,000 fan 55 author per 10,000 17 dialect per 10,000 him 55 author per 10,000 34 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 7 dialect per 10,000 tae 55 author per 10,000 168 dialect per 10,000 day 55 author per 10,000 31 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 54 dialect per 10,000 fae 55 author per 10,000 27 dialect per 10,000 stuck 55 author per 10,000 1 dialect per 10,000 hing 55 author per 10,000 1 dialect per 10,000 een 55 author per 10,000 19 dialect per 10,000 for 55 author per 10,000 41 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 1 dialect per 10,000 aboot 55 author per 10,000 35 dialect per 10,000 bade 55 author per 10,000 1 dialect per 10,000 awa 55 author per 10,000 24 dialect per 10,000 sang 55 author per 10,000 1 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 4 dialect per 10,000 fiddle 55 author per 10,000 0 dialect per 10,000 didna 55 author per 10,000 9 dialect per 10,000 bein 55 author per 10,000 5 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 1 dialect per 10,000 gan 27 author per 10,000 5 dialect per 10,000 here 27 author per 10,000 10 dialect per 10,000 ess 27 author per 10,000 5 dialect per 10,000 up 27 author per 10,000 46 dialect per 10,000 hill 27 author per 10,000 1 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 8 dialect per 10,000 ma 27 author per 10,000 50 dialect per 10,000 taes 27 author per 10,000 1 dialect per 10,000 afore 27 author per 10,000 14 dialect per 10,000 be 27 author per 10,000 46 dialect per 10,000 wik 27 author per 10,000 1 dialect per 10,000 days 27 author per 10,000 5 dialect per 10,000 telt 27 author per 10,000 9 dialect per 10,000 i've 27 author per 10,000 3 dialect per 10,000 been 27 author per 10,000 12 dialect per 10,000 because 27 author per 10,000 2 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 8 dialect per 10,000 noticed 27 author per 10,000 1 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 2 dialect per 10,000 could 27 author per 10,000 7 dialect per 10,000 wrote 27 author per 10,000 0 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 3 dialect per 10,000 died 27 author per 10,000 0 dialect per 10,000 knee 27 author per 10,000 0 dialect per 10,000 half 27 author per 10,000 3 dialect per 10,000 changed 27 author per 10,000 1 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 5 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 8 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 12 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 2 dialect per 10,000 see 27 author per 10,000 21 dialect per 10,000 winted 27 author per 10,000 1 dialect per 10,000 went 27 author per 10,000 4 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 2 dialect per 10,000 loved 27 author per 10,000 0 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 21 dialect per 10,000 ay 27 author per 10,000 7 dialect per 10,000 gettin 27 author per 10,000 4 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 2 dialect per 10,000 bobbies 27 author per 10,000 1 dialect per 10,000 by 27 author per 10,000 9 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 2 dialect per 10,000 an 27 author per 10,000 309 dialect per 10,000 fine 27 author per 10,000 13 dialect per 10,000 far 27 author per 10,000 14 dialect per 10,000 land 27 author per 10,000 1 dialect per 10,000 upon 27 author per 10,000 1 dialect per 10,000 loonie 27 author per 10,000 1 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 4 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 0 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 4 dialect per 10,000 bun 27 author per 10,000 1 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 0 dialect per 10,000 three 27 author per 10,000 6 dialect per 10,000 kept 27 author per 10,000 1 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 8 dialect per 10,000 'it 27 author per 10,000 0 dialect per 10,000 wi 27 author per 10,000 83 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 2 dialect per 10,000 loaf 27 author per 10,000 1 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 38 dialect per 10,000 hoose 27 author per 10,000 12 dialect per 10,000 catch 27 author per 10,000 1 dialect per 10,000 go 27 author per 10,000 3 dialect per 10,000 after 27 author per 10,000 0 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 8 dialect per 10,000 eens 27 author per 10,000 1 dialect per 10,000 mony 27 author per 10,000 4 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000
Shetland
he 495 author per 10,000 120 dialect per 10,000 wis 440 author per 10,000 180 dialect per 10,000 the 330 author per 10,000 20 dialect per 10,000 a 330 author per 10,000 279 dialect per 10,000 o 275 author per 10,000 158 dialect per 10,000 in 275 author per 10,000 97 dialect per 10,000 and 220 author per 10,000 16 dialect per 10,000 um 192 author per 10,000 0 dialect per 10,000 it 165 author per 10,000 60 dialect per 10,000 james 165 author per 10,000 0 dialect per 10,000 i 165 author per 10,000 162 dialect per 10,000 his 165 author per 10,000 59 dialect per 10,000 duff 137 author per 10,000 0 dialect per 10,000 bit 137 author per 10,000 39 dialect per 10,000 they 137 author per 10,000 2 dialect per 10,000 caul 137 author per 10,000 0 dialect per 10,000 is 137 author per 10,000 59 dialect per 10,000 ti 137 author per 10,000 0 dialect per 10,000 teen 110 author per 10,000 0 dialect per 10,000 at 110 author per 10,000 109 dialect per 10,000 so 110 author per 10,000 29 dialect per 10,000 lord 110 author per 10,000 0 dialect per 10,000 affa 110 author per 10,000 0 dialect per 10,000 time 110 author per 10,000 23 dialect per 10,000 wee 110 author per 10,000 0 dialect per 10,000 ere 82 author per 10,000 0 dialect per 10,000 got 82 author per 10,000 9 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 2 dialect per 10,000 on 82 author per 10,000 55 dialect per 10,000 oot 82 author per 10,000 47 dialect per 10,000 doon 82 author per 10,000 25 dialect per 10,000 folk 82 author per 10,000 1 dialect per 10,000 caught 55 author per 10,000 0 dialect per 10,000 ower 55 author per 10,000 28 dialect per 10,000 fan 55 author per 10,000 7 dialect per 10,000 him 55 author per 10,000 55 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 0 dialect per 10,000 tae 55 author per 10,000 74 dialect per 10,000 day 55 author per 10,000 19 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 4 dialect per 10,000 fae 55 author per 10,000 36 dialect per 10,000 stuck 55 author per 10,000 0 dialect per 10,000 hing 55 author per 10,000 0 dialect per 10,000 een 55 author per 10,000 18 dialect per 10,000 for 55 author per 10,000 40 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 2 dialect per 10,000 aboot 55 author per 10,000 41 dialect per 10,000 bade 55 author per 10,000 0 dialect per 10,000 awa 55 author per 10,000 14 dialect per 10,000 sang 55 author per 10,000 2 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 0 dialect per 10,000 fiddle 55 author per 10,000 1 dialect per 10,000 didna 55 author per 10,000 12 dialect per 10,000 bein 55 author per 10,000 5 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 0 dialect per 10,000 gan 27 author per 10,000 0 dialect per 10,000 here 27 author per 10,000 12 dialect per 10,000 ess 27 author per 10,000 0 dialect per 10,000 up 27 author per 10,000 45 dialect per 10,000 hill 27 author per 10,000 5 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 2 dialect per 10,000 ma 27 author per 10,000 0 dialect per 10,000 taes 27 author per 10,000 1 dialect per 10,000 afore 27 author per 10,000 17 dialect per 10,000 be 27 author per 10,000 52 dialect per 10,000 wik 27 author per 10,000 0 dialect per 10,000 days 27 author per 10,000 3 dialect per 10,000 telt 27 author per 10,000 8 dialect per 10,000 i've 27 author per 10,000 0 dialect per 10,000 been 27 author per 10,000 18 dialect per 10,000 because 27 author per 10,000 0 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 0 dialect per 10,000 noticed 27 author per 10,000 2 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 0 dialect per 10,000 could 27 author per 10,000 13 dialect per 10,000 wrote 27 author per 10,000 0 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 7 dialect per 10,000 died 27 author per 10,000 0 dialect per 10,000 knee 27 author per 10,000 1 dialect per 10,000 half 27 author per 10,000 2 dialect per 10,000 changed 27 author per 10,000 1 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 0 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 0 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 2 dialect per 10,000 see 27 author per 10,000 21 dialect per 10,000 winted 27 author per 10,000 0 dialect per 10,000 went 27 author per 10,000 0 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 0 dialect per 10,000 loved 27 author per 10,000 1 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 1 dialect per 10,000 ay 27 author per 10,000 1 dialect per 10,000 gettin 27 author per 10,000 2 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 1 dialect per 10,000 bobbies 27 author per 10,000 0 dialect per 10,000 by 27 author per 10,000 7 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 0 dialect per 10,000 an 27 author per 10,000 339 dialect per 10,000 fine 27 author per 10,000 8 dialect per 10,000 far 27 author per 10,000 6 dialect per 10,000 land 27 author per 10,000 0 dialect per 10,000 upon 27 author per 10,000 0 dialect per 10,000 loonie 27 author per 10,000 0 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 4 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 0 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 1 dialect per 10,000 bun 27 author per 10,000 0 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 0 dialect per 10,000 three 27 author per 10,000 1 dialect per 10,000 kept 27 author per 10,000 1 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 1 dialect per 10,000 'it 27 author per 10,000 0 dialect per 10,000 wi 27 author per 10,000 95 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 1 dialect per 10,000 loaf 27 author per 10,000 0 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 1 dialect per 10,000 hoose 27 author per 10,000 9 dialect per 10,000 catch 27 author per 10,000 0 dialect per 10,000 go 27 author per 10,000 3 dialect per 10,000 after 27 author per 10,000 0 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 1 dialect per 10,000 eens 27 author per 10,000 1 dialect per 10,000 mony 27 author per 10,000 4 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000
Orkney
he 495 author per 10,000 88 dialect per 10,000 wis 440 author per 10,000 79 dialect per 10,000 the 330 author per 10,000 584 dialect per 10,000 a 330 author per 10,000 296 dialect per 10,000 o 275 author per 10,000 198 dialect per 10,000 in 275 author per 10,000 147 dialect per 10,000 and 220 author per 10,000 192 dialect per 10,000 um 192 author per 10,000 1 dialect per 10,000 it 165 author per 10,000 23 dialect per 10,000 james 165 author per 10,000 0 dialect per 10,000 i 165 author per 10,000 156 dialect per 10,000 his 165 author per 10,000 63 dialect per 10,000 duff 137 author per 10,000 1 dialect per 10,000 bit 137 author per 10,000 48 dialect per 10,000 they 137 author per 10,000 34 dialect per 10,000 caul 137 author per 10,000 0 dialect per 10,000 is 137 author per 10,000 73 dialect per 10,000 ti 137 author per 10,000 0 dialect per 10,000 teen 110 author per 10,000 1 dialect per 10,000 at 110 author per 10,000 52 dialect per 10,000 so 110 author per 10,000 29 dialect per 10,000 lord 110 author per 10,000 0 dialect per 10,000 affa 110 author per 10,000 0 dialect per 10,000 time 110 author per 10,000 18 dialect per 10,000 wee 110 author per 10,000 1 dialect per 10,000 ere 82 author per 10,000 0 dialect per 10,000 got 82 author per 10,000 12 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 31 dialect per 10,000 on 82 author per 10,000 73 dialect per 10,000 oot 82 author per 10,000 51 dialect per 10,000 doon 82 author per 10,000 28 dialect per 10,000 folk 82 author per 10,000 9 dialect per 10,000 caught 55 author per 10,000 1 dialect per 10,000 ower 55 author per 10,000 18 dialect per 10,000 fan 55 author per 10,000 0 dialect per 10,000 him 55 author per 10,000 21 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 0 dialect per 10,000 tae 55 author per 10,000 222 dialect per 10,000 day 55 author per 10,000 21 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 75 dialect per 10,000 fae 55 author per 10,000 37 dialect per 10,000 stuck 55 author per 10,000 2 dialect per 10,000 hing 55 author per 10,000 1 dialect per 10,000 een 55 author per 10,000 4 dialect per 10,000 for 55 author per 10,000 24 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 1 dialect per 10,000 aboot 55 author per 10,000 27 dialect per 10,000 bade 55 author per 10,000 1 dialect per 10,000 awa 55 author per 10,000 1 dialect per 10,000 sang 55 author per 10,000 1 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 0 dialect per 10,000 fiddle 55 author per 10,000 0 dialect per 10,000 didna 55 author per 10,000 9 dialect per 10,000 bein 55 author per 10,000 1 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 0 dialect per 10,000 gan 27 author per 10,000 2 dialect per 10,000 here 27 author per 10,000 12 dialect per 10,000 ess 27 author per 10,000 0 dialect per 10,000 up 27 author per 10,000 33 dialect per 10,000 hill 27 author per 10,000 2 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 4 dialect per 10,000 ma 27 author per 10,000 1 dialect per 10,000 taes 27 author per 10,000 0 dialect per 10,000 afore 27 author per 10,000 13 dialect per 10,000 be 27 author per 10,000 42 dialect per 10,000 wik 27 author per 10,000 0 dialect per 10,000 days 27 author per 10,000 5 dialect per 10,000 telt 27 author per 10,000 4 dialect per 10,000 i've 27 author per 10,000 1 dialect per 10,000 been 27 author per 10,000 18 dialect per 10,000 because 27 author per 10,000 1 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 8 dialect per 10,000 noticed 27 author per 10,000 0 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 1 dialect per 10,000 could 27 author per 10,000 12 dialect per 10,000 wrote 27 author per 10,000 1 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 1 dialect per 10,000 died 27 author per 10,000 1 dialect per 10,000 knee 27 author per 10,000 0 dialect per 10,000 half 27 author per 10,000 2 dialect per 10,000 changed 27 author per 10,000 1 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 1 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 2 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 2 dialect per 10,000 see 27 author per 10,000 16 dialect per 10,000 winted 27 author per 10,000 0 dialect per 10,000 went 27 author per 10,000 1 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 1 dialect per 10,000 loved 27 author per 10,000 1 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 7 dialect per 10,000 ay 27 author per 10,000 0 dialect per 10,000 gettin 27 author per 10,000 0 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 2 dialect per 10,000 bobbies 27 author per 10,000 0 dialect per 10,000 by 27 author per 10,000 16 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 0 dialect per 10,000 an 27 author per 10,000 178 dialect per 10,000 fine 27 author per 10,000 6 dialect per 10,000 far 27 author per 10,000 4 dialect per 10,000 land 27 author per 10,000 3 dialect per 10,000 upon 27 author per 10,000 1 dialect per 10,000 loonie 27 author per 10,000 0 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 2 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 1 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 1 dialect per 10,000 bun 27 author per 10,000 0 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 0 dialect per 10,000 three 27 author per 10,000 4 dialect per 10,000 kept 27 author per 10,000 1 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 3 dialect per 10,000 'it 27 author per 10,000 0 dialect per 10,000 wi 27 author per 10,000 47 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 1 dialect per 10,000 loaf 27 author per 10,000 0 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 94 dialect per 10,000 hoose 27 author per 10,000 11 dialect per 10,000 catch 27 author per 10,000 2 dialect per 10,000 go 27 author per 10,000 10 dialect per 10,000 after 27 author per 10,000 0 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 1 dialect per 10,000 eens 27 author per 10,000 1 dialect per 10,000 mony 27 author per 10,000 1 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000
Southern
he 495 author per 10,000 19 dialect per 10,000 wis 440 author per 10,000 62 dialect per 10,000 the 330 author per 10,000 484 dialect per 10,000 a 330 author per 10,000 254 dialect per 10,000 o 275 author per 10,000 200 dialect per 10,000 in 275 author per 10,000 118 dialect per 10,000 and 220 author per 10,000 37 dialect per 10,000 um 192 author per 10,000 3 dialect per 10,000 it 165 author per 10,000 66 dialect per 10,000 james 165 author per 10,000 1 dialect per 10,000 i 165 author per 10,000 62 dialect per 10,000 his 165 author per 10,000 39 dialect per 10,000 duff 137 author per 10,000 0 dialect per 10,000 bit 137 author per 10,000 18 dialect per 10,000 they 137 author per 10,000 35 dialect per 10,000 caul 137 author per 10,000 0 dialect per 10,000 is 137 author per 10,000 60 dialect per 10,000 ti 137 author per 10,000 15 dialect per 10,000 teen 110 author per 10,000 0 dialect per 10,000 at 110 author per 10,000 66 dialect per 10,000 so 110 author per 10,000 3 dialect per 10,000 lord 110 author per 10,000 1 dialect per 10,000 affa 110 author per 10,000 0 dialect per 10,000 time 110 author per 10,000 16 dialect per 10,000 wee 110 author per 10,000 24 dialect per 10,000 ere 82 author per 10,000 0 dialect per 10,000 got 82 author per 10,000 10 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 12 dialect per 10,000 on 82 author per 10,000 53 dialect per 10,000 oot 82 author per 10,000 35 dialect per 10,000 doon 82 author per 10,000 24 dialect per 10,000 folk 82 author per 10,000 4 dialect per 10,000 caught 55 author per 10,000 1 dialect per 10,000 ower 55 author per 10,000 17 dialect per 10,000 fan 55 author per 10,000 1 dialect per 10,000 him 55 author per 10,000 13 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 0 dialect per 10,000 tae 55 author per 10,000 198 dialect per 10,000 day 55 author per 10,000 17 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 64 dialect per 10,000 fae 55 author per 10,000 6 dialect per 10,000 stuck 55 author per 10,000 1 dialect per 10,000 hing 55 author per 10,000 7 dialect per 10,000 een 55 author per 10,000 5 dialect per 10,000 for 55 author per 10,000 21 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 0 dialect per 10,000 aboot 55 author per 10,000 29 dialect per 10,000 bade 55 author per 10,000 7 dialect per 10,000 awa 55 author per 10,000 13 dialect per 10,000 sang 55 author per 10,000 2 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 0 dialect per 10,000 fiddle 55 author per 10,000 0 dialect per 10,000 didna 55 author per 10,000 2 dialect per 10,000 bein 55 author per 10,000 4 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 1 dialect per 10,000 gan 27 author per 10,000 3 dialect per 10,000 here 27 author per 10,000 14 dialect per 10,000 ess 27 author per 10,000 0 dialect per 10,000 up 27 author per 10,000 40 dialect per 10,000 hill 27 author per 10,000 4 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 3 dialect per 10,000 ma 27 author per 10,000 63 dialect per 10,000 taes 27 author per 10,000 0 dialect per 10,000 afore 27 author per 10,000 15 dialect per 10,000 be 27 author per 10,000 16 dialect per 10,000 wik 27 author per 10,000 0 dialect per 10,000 days 27 author per 10,000 8 dialect per 10,000 telt 27 author per 10,000 6 dialect per 10,000 i've 27 author per 10,000 0 dialect per 10,000 been 27 author per 10,000 10 dialect per 10,000 because 27 author per 10,000 1 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 8 dialect per 10,000 noticed 27 author per 10,000 1 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 0 dialect per 10,000 could 27 author per 10,000 12 dialect per 10,000 wrote 27 author per 10,000 0 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 2 dialect per 10,000 died 27 author per 10,000 0 dialect per 10,000 knee 27 author per 10,000 1 dialect per 10,000 half 27 author per 10,000 0 dialect per 10,000 changed 27 author per 10,000 0 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 6 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 183 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 3 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 0 dialect per 10,000 see 27 author per 10,000 7 dialect per 10,000 winted 27 author per 10,000 0 dialect per 10,000 went 27 author per 10,000 12 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 2 dialect per 10,000 loved 27 author per 10,000 1 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 15 dialect per 10,000 ay 27 author per 10,000 10 dialect per 10,000 gettin 27 author per 10,000 3 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 1 dialect per 10,000 bobbies 27 author per 10,000 0 dialect per 10,000 by 27 author per 10,000 8 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 0 dialect per 10,000 an 27 author per 10,000 287 dialect per 10,000 fine 27 author per 10,000 2 dialect per 10,000 far 27 author per 10,000 2 dialect per 10,000 land 27 author per 10,000 1 dialect per 10,000 upon 27 author per 10,000 1 dialect per 10,000 loonie 27 author per 10,000 0 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 2 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 0 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 2 dialect per 10,000 bun 27 author per 10,000 0 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 0 dialect per 10,000 three 27 author per 10,000 3 dialect per 10,000 kept 27 author per 10,000 2 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 6 dialect per 10,000 'it 27 author per 10,000 0 dialect per 10,000 wi 27 author per 10,000 75 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 2 dialect per 10,000 loaf 27 author per 10,000 0 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 1 dialect per 10,000 hoose 27 author per 10,000 18 dialect per 10,000 catch 27 author per 10,000 1 dialect per 10,000 go 27 author per 10,000 1 dialect per 10,000 after 27 author per 10,000 1 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 55 dialect per 10,000 eens 27 author per 10,000 0 dialect per 10,000 mony 27 author per 10,000 3 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000
Ulster
he 495 author per 10,000 63 dialect per 10,000 wis 440 author per 10,000 1 dialect per 10,000 the 330 author per 10,000 296 dialect per 10,000 a 330 author per 10,000 284 dialect per 10,000 o 275 author per 10,000 210 dialect per 10,000 in 275 author per 10,000 120 dialect per 10,000 and 220 author per 10,000 10 dialect per 10,000 um 192 author per 10,000 0 dialect per 10,000 it 165 author per 10,000 71 dialect per 10,000 james 165 author per 10,000 1 dialect per 10,000 i 165 author per 10,000 10 dialect per 10,000 his 165 author per 10,000 19 dialect per 10,000 duff 137 author per 10,000 0 dialect per 10,000 bit 137 author per 10,000 10 dialect per 10,000 they 137 author per 10,000 26 dialect per 10,000 caul 137 author per 10,000 0 dialect per 10,000 is 137 author per 10,000 19 dialect per 10,000 ti 137 author per 10,000 0 dialect per 10,000 teen 110 author per 10,000 0 dialect per 10,000 at 110 author per 10,000 58 dialect per 10,000 so 110 author per 10,000 5 dialect per 10,000 lord 110 author per 10,000 0 dialect per 10,000 affa 110 author per 10,000 0 dialect per 10,000 time 110 author per 10,000 13 dialect per 10,000 wee 110 author per 10,000 26 dialect per 10,000 ere 82 author per 10,000 0 dialect per 10,000 got 82 author per 10,000 9 dialect per 10,000 braco 82 author per 10,000 0 dialect per 10,000 like 82 author per 10,000 9 dialect per 10,000 on 82 author per 10,000 54 dialect per 10,000 oot 82 author per 10,000 51 dialect per 10,000 doon 82 author per 10,000 28 dialect per 10,000 folk 82 author per 10,000 5 dialect per 10,000 caught 55 author per 10,000 0 dialect per 10,000 ower 55 author per 10,000 16 dialect per 10,000 fan 55 author per 10,000 1 dialect per 10,000 him 55 author per 10,000 9 dialect per 10,000 abidy 55 author per 10,000 0 dialect per 10,000 banff 55 author per 10,000 0 dialect per 10,000 die 55 author per 10,000 0 dialect per 10,000 loon 55 author per 10,000 0 dialect per 10,000 tae 55 author per 10,000 259 dialect per 10,000 day 55 author per 10,000 15 dialect per 10,000 maerkets 55 author per 10,000 0 dialect per 10,000 that 55 author per 10,000 72 dialect per 10,000 fae 55 author per 10,000 14 dialect per 10,000 stuck 55 author per 10,000 0 dialect per 10,000 hing 55 author per 10,000 0 dialect per 10,000 een 55 author per 10,000 6 dialect per 10,000 for 55 author per 10,000 33 dialect per 10,000 reeved 55 author per 10,000 0 dialect per 10,000 money 55 author per 10,000 1 dialect per 10,000 aboot 55 author per 10,000 27 dialect per 10,000 bade 55 author per 10,000 0 dialect per 10,000 awa 55 author per 10,000 16 dialect per 10,000 sang 55 author per 10,000 2 dialect per 10,000 cad 55 author per 10,000 0 dialect per 10,000 en 55 author per 10,000 3 dialect per 10,000 fiddle 55 author per 10,000 0 dialect per 10,000 didna 55 author per 10,000 0 dialect per 10,000 bein 55 author per 10,000 4 dialect per 10,000 hated 55 author per 10,000 0 dialect per 10,000 dungeons 55 author per 10,000 0 dialect per 10,000 canny 27 author per 10,000 1 dialect per 10,000 gan 27 author per 10,000 6 dialect per 10,000 here 27 author per 10,000 10 dialect per 10,000 ess 27 author per 10,000 0 dialect per 10,000 up 27 author per 10,000 31 dialect per 10,000 hill 27 author per 10,000 1 dialect per 10,000 galla 27 author per 10,000 0 dialect per 10,000 feel 27 author per 10,000 2 dialect per 10,000 ma 27 author per 10,000 21 dialect per 10,000 taes 27 author per 10,000 0 dialect per 10,000 afore 27 author per 10,000 12 dialect per 10,000 be 27 author per 10,000 40 dialect per 10,000 wik 27 author per 10,000 0 dialect per 10,000 days 27 author per 10,000 5 dialect per 10,000 telt 27 author per 10,000 1 dialect per 10,000 i've 27 author per 10,000 0 dialect per 10,000 been 27 author per 10,000 2 dialect per 10,000 because 27 author per 10,000 0 dialect per 10,000 played 27 author per 10,000 1 dialect per 10,000 anither 27 author per 10,000 9 dialect per 10,000 noticed 27 author per 10,000 0 dialect per 10,000 earlier 27 author per 10,000 0 dialect per 10,000 clock 27 author per 10,000 1 dialect per 10,000 could 27 author per 10,000 1 dialect per 10,000 wrote 27 author per 10,000 0 dialect per 10,000 snapped 27 author per 10,000 0 dialect per 10,000 gallas 27 author per 10,000 0 dialect per 10,000 tree 27 author per 10,000 3 dialect per 10,000 died 27 author per 10,000 0 dialect per 10,000 knee 27 author per 10,000 0 dialect per 10,000 half 27 author per 10,000 2 dialect per 10,000 changed 27 author per 10,000 1 dialect per 10,000 macduff 27 author per 10,000 0 dialect per 10,000 year 27 author per 10,000 2 dialect per 10,000 gathert 27 author per 10,000 0 dialect per 10,000 november 27 author per 10,000 0 dialect per 10,000 th 27 author per 10,000 0 dialect per 10,000 twelve 27 author per 10,000 0 dialect per 10,000 noon 27 author per 10,000 0 dialect per 10,000 roon 27 author per 10,000 11 dialect per 10,000 annoyed 27 author per 10,000 0 dialect per 10,000 reprieve 27 author per 10,000 0 dialect per 10,000 sent 27 author per 10,000 3 dialect per 10,000 see 27 author per 10,000 16 dialect per 10,000 winted 27 author per 10,000 0 dialect per 10,000 went 27 author per 10,000 12 dialect per 10,000 hangit 27 author per 10,000 0 dialect per 10,000 aberdeenshire 27 author per 10,000 0 dialect per 10,000 ithers 27 author per 10,000 3 dialect per 10,000 loved 27 author per 10,000 0 dialect per 10,000 guts 27 author per 10,000 0 dialect per 10,000 heaps 27 author per 10,000 0 dialect per 10,000 gadgies 27 author per 10,000 0 dialect per 10,000 their 27 author per 10,000 6 dialect per 10,000 ay 27 author per 10,000 2 dialect per 10,000 gettin 27 author per 10,000 2 dialect per 10,000 nicked 27 author per 10,000 0 dialect per 10,000 stuff 27 author per 10,000 1 dialect per 10,000 bobbies 27 author per 10,000 0 dialect per 10,000 by 27 author per 10,000 8 dialect per 10,000 chased 27 author per 10,000 0 dialect per 10,000 minted 27 author per 10,000 0 dialect per 10,000 peer 27 author per 10,000 0 dialect per 10,000 an 27 author per 10,000 364 dialect per 10,000 fine 27 author per 10,000 1 dialect per 10,000 far 27 author per 10,000 5 dialect per 10,000 land 27 author per 10,000 1 dialect per 10,000 upon 27 author per 10,000 1 dialect per 10,000 loonie 27 author per 10,000 0 dialect per 10,000 macpherson 27 author per 10,000 0 dialect per 10,000 scran 27 author per 10,000 0 dialect per 10,000 help 27 author per 10,000 2 dialect per 10,000 awy 27 author per 10,000 0 dialect per 10,000 floated 27 author per 10,000 0 dialect per 10,000 inversneckie 27 author per 10,000 0 dialect per 10,000 manny 27 author per 10,000 0 dialect per 10,000 determined 27 author per 10,000 0 dialect per 10,000 braco's 27 author per 10,000 0 dialect per 10,000 gang 27 author per 10,000 4 dialect per 10,000 bun 27 author per 10,000 0 dialect per 10,000 aipples 27 author per 10,000 0 dialect per 10,000 breid 27 author per 10,000 2 dialect per 10,000 three 27 author per 10,000 3 dialect per 10,000 kept 27 author per 10,000 1 dialect per 10,000 umsel 27 author per 10,000 0 dialect per 10,000 made 27 author per 10,000 6 dialect per 10,000 'it 27 author per 10,000 0 dialect per 10,000 wi 27 author per 10,000 61 dialect per 10,000 lonely 27 author per 10,000 0 dialect per 10,000 well 27 author per 10,000 2 dialect per 10,000 loaf 27 author per 10,000 0 dialect per 10,000 keith 27 author per 10,000 0 dialect per 10,000 clan 27 author per 10,000 0 dialect per 10,000 chums 27 author per 10,000 0 dialect per 10,000 hid 27 author per 10,000 0 dialect per 10,000 hoose 27 author per 10,000 13 dialect per 10,000 catch 27 author per 10,000 0 dialect per 10,000 go 27 author per 10,000 4 dialect per 10,000 after 27 author per 10,000 0 dialect per 10,000 moray 27 author per 10,000 0 dialect per 10,000 ae 27 author per 10,000 0 dialect per 10,000 eens 27 author per 10,000 0 dialect per 10,000 mony 27 author per 10,000 1 dialect per 10,000 robbed 27 author per 10,000 0 dialect per 10,000 caul' 27 author per 10,000 0 dialect per 10,000