A Corpus of 21st Century Scots Texts

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Jarvie, Gordon


Total words by this author in corpus - 889
Total unique words used by this author in corpus - 439
Ratio of total words to unique words - 2.025
Top ten most common words - the, an, a, he, tae, wis, in, ye, it, o,

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 461 author per 10,000 562 dialect per 10,000 an 450 author per 10,000 212 dialect per 10,000 a 382 author per 10,000 263 dialect per 10,000 he 315 author per 10,000 92 dialect per 10,000 tae 270 author per 10,000 211 dialect per 10,000 wis 180 author per 10,000 98 dialect per 10,000 in 135 author per 10,000 148 dialect per 10,000 ye 135 author per 10,000 59 dialect per 10,000 it 112 author per 10,000 118 dialect per 10,000 o 112 author per 10,000 190 dialect per 10,000 they 112 author per 10,000 43 dialect per 10,000 his 112 author per 10,000 56 dialect per 10,000 €“ 112 author per 10,000 5 dialect per 10,000 €™s 101 author per 10,000 37 dialect per 10,000 at 90 author per 10,000 58 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 30 dialect per 10,000 be 67 author per 10,000 49 dialect per 10,000 back 67 author per 10,000 20 dialect per 10,000 €™d 67 author per 10,000 7 dialect per 10,000 for 56 author per 10,000 47 dialect per 10,000 €™ 56 author per 10,000 46 dialect per 10,000 duncan 56 author per 10,000 0 dialect per 10,000 on 56 author per 10,000 55 dialect per 10,000 i 56 author per 10,000 38 dialect per 10,000 as 56 author per 10,000 60 dialect per 10,000 hud 45 author per 10,000 6 dialect per 10,000 waitin 45 author per 10,000 2 dialect per 10,000 fur 45 author per 10,000 23 dialect per 10,000 but 45 author per 10,000 48 dialect per 10,000 here 45 author per 10,000 12 dialect per 10,000 weel 45 author per 10,000 9 dialect per 10,000 when 34 author per 10,000 18 dialect per 10,000 €™ve 34 author per 10,000 4 dialect per 10,000 whit 34 author per 10,000 29 dialect per 10,000 crossed 34 author per 10,000 0 dialect per 10,000 we 34 author per 10,000 35 dialect per 10,000 college 34 author per 10,000 0 dialect per 10,000 thir 34 author per 10,000 5 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 10 dialect per 10,000 can 34 author per 10,000 15 dialect per 10,000 sea 34 author per 10,000 1 dialect per 10,000 been 34 author per 10,000 19 dialect per 10,000 to 34 author per 10,000 9 dialect per 10,000 til 34 author per 10,000 5 dialect per 10,000 tuik 34 author per 10,000 1 dialect per 10,000 oot 34 author per 10,000 39 dialect per 10,000 then 34 author per 10,000 16 dialect per 10,000 wee 34 author per 10,000 27 dialect per 10,000 auld 34 author per 10,000 13 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 25 dialect per 10,000 wir 34 author per 10,000 4 dialect per 10,000 hame 34 author per 10,000 6 dialect per 10,000 anither 34 author per 10,000 6 dialect per 10,000 aff 34 author per 10,000 14 dialect per 10,000 again 34 author per 10,000 8 dialect per 10,000 some 34 author per 10,000 13 dialect per 10,000 time 34 author per 10,000 17 dialect per 10,000 man 34 author per 10,000 10 dialect per 10,000 thocht 34 author per 10,000 8 dialect per 10,000 year 34 author per 10,000 7 dialect per 10,000 gaed 34 author per 10,000 5 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 109 dialect per 10,000 get 22 author per 10,000 15 dialect per 10,000 broon 22 author per 10,000 2 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 10 dialect per 10,000 their 22 author per 10,000 18 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 11 dialect per 10,000 had 22 author per 10,000 24 dialect per 10,000 freend 22 author per 10,000 1 dialect per 10,000 life 22 author per 10,000 6 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 8 dialect per 10,000 gied 22 author per 10,000 5 dialect per 10,000 mair 22 author per 10,000 20 dialect per 10,000 road 22 author per 10,000 3 dialect per 10,000 or 22 author per 10,000 29 dialect per 10,000 frae 22 author per 10,000 15 dialect per 10,000 wi 22 author per 10,000 66 dialect per 10,000 see 22 author per 10,000 17 dialect per 10,000 no 22 author per 10,000 35 dialect per 10,000 sun 22 author per 10,000 2 dialect per 10,000 so 22 author per 10,000 9 dialect per 10,000 nae 22 author per 10,000 22 dialect per 10,000 drinkin 22 author per 10,000 0 dialect per 10,000 €™re 22 author per 10,000 4 dialect per 10,000 fer 22 author per 10,000 6 dialect per 10,000 morn 22 author per 10,000 1 dialect per 10,000 lang 22 author per 10,000 9 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 fowk 22 author per 10,000 13 dialect per 10,000 if 22 author per 10,000 18 dialect per 10,000 yer 22 author per 10,000 17 dialect per 10,000 aboot 22 author per 10,000 30 dialect per 10,000 tellt 22 author per 10,000 2 dialect per 10,000 went 22 author per 10,000 7 dialect per 10,000 could 22 author per 10,000 9 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 40 dialect per 10,000 wha 22 author per 10,000 8 dialect per 10,000 and 22 author per 10,000 107 dialect per 10,000 €™ll 22 author per 10,000 5 dialect per 10,000 this 22 author per 10,000 43 dialect per 10,000 fae 22 author per 10,000 27 dialect per 10,000 leave 22 author per 10,000 1 dialect per 10,000 abune 22 author per 10,000 1 dialect per 10,000 efter 22 author per 10,000 10 dialect per 10,000 months 22 author per 10,000 1 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 5 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000 couldna 11 author per 10,000 1 dialect per 10,000 clear 11 author per 10,000 2 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 4 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 2 dialect per 10,000 derk 11 author per 10,000 0 dialect per 10,000 move 11 author per 10,000 1 dialect per 10,000 please 11 author per 10,000 1 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 16 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 2 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 15 dialect per 10,000 awa 11 author per 10,000 11 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 1 dialect per 10,000 of 11 author per 10,000 10 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 1 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 4 dialect per 10,000 much 11 author per 10,000 3 dialect per 10,000 ablow 11 author per 10,000 1 dialect per 10,000 fact 11 author per 10,000 2 dialect per 10,000 looked 11 author per 10,000 3 dialect per 10,000 find 11 author per 10,000 3 dialect per 10,000 lost 11 author per 10,000 1 dialect per 10,000 wurk 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 4 dialect per 10,000 lad 11 author per 10,000 2 dialect per 10,000 serious 11 author per 10,000 1 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 1 dialect per 10,000 taught 11 author per 10,000 0 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 12 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 1 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 1 dialect per 10,000 lass 11 author per 10,000 1 dialect per 10,000 hoose 11 author per 10,000 7 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 2 dialect per 10,000 mony 11 author per 10,000 4 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 2 dialect per 10,000 ither 11 author per 10,000 11 dialect per 10,000 getting 11 author per 10,000 1 dialect per 10,000 day 11 author per 10,000 14 dialect per 10,000 not 11 author per 10,000 2 dialect per 10,000 why 11 author per 10,000 2 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 1 dialect per 10,000 she 11 author per 10,000 55 dialect per 10,000 hot 11 author per 10,000 1 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 2 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 5 dialect per 10,000 was 11 author per 10,000 7 dialect per 10,000 feet 11 author per 10,000 2 dialect per 10,000 towards 11 author per 10,000 1 dialect per 10,000 turned 11 author per 10,000 1 dialect per 10,000 said 11 author per 10,000 41 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 1 dialect per 10,000 home 11 author per 10,000 1 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000 		Doric
the 461 author per 10,000 467 dialect per 10,000 an 450 author per 10,000 309 dialect per 10,000 a 382 author per 10,000 298 dialect per 10,000 he 315 author per 10,000 95 dialect per 10,000 tae 270 author per 10,000 164 dialect per 10,000 wis 180 author per 10,000 104 dialect per 10,000 in 135 author per 10,000 135 dialect per 10,000 ye 135 author per 10,000 94 dialect per 10,000 it 112 author per 10,000 104 dialect per 10,000 o 112 author per 10,000 181 dialect per 10,000 they 112 author per 10,000 38 dialect per 10,000 his 112 author per 10,000 71 dialect per 10,000 €“ 112 author per 10,000 6 dialect per 10,000 €™s 101 author per 10,000 22 dialect per 10,000 at 90 author per 10,000 70 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 33 dialect per 10,000 be 67 author per 10,000 46 dialect per 10,000 back 67 author per 10,000 21 dialect per 10,000 €™d 67 author per 10,000 11 dialect per 10,000 for 56 author per 10,000 44 dialect per 10,000 €™ 56 author per 10,000 12 dialect per 10,000 duncan 56 author per 10,000 1 dialect per 10,000 on 56 author per 10,000 67 dialect per 10,000 i 56 author per 10,000 72 dialect per 10,000 as 56 author per 10,000 55 dialect per 10,000 hud 45 author per 10,000 1 dialect per 10,000 waitin 45 author per 10,000 1 dialect per 10,000 fur 45 author per 10,000 16 dialect per 10,000 but 45 author per 10,000 25 dialect per 10,000 here 45 author per 10,000 11 dialect per 10,000 weel 45 author per 10,000 18 dialect per 10,000 when 34 author per 10,000 2 dialect per 10,000 €™ve 34 author per 10,000 2 dialect per 10,000 whit 34 author per 10,000 1 dialect per 10,000 crossed 34 author per 10,000 0 dialect per 10,000 we 34 author per 10,000 21 dialect per 10,000 college 34 author per 10,000 0 dialect per 10,000 thir 34 author per 10,000 0 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 15 dialect per 10,000 can 34 author per 10,000 13 dialect per 10,000 sea 34 author per 10,000 4 dialect per 10,000 been 34 author per 10,000 13 dialect per 10,000 to 34 author per 10,000 8 dialect per 10,000 til 34 author per 10,000 3 dialect per 10,000 tuik 34 author per 10,000 2 dialect per 10,000 oot 34 author per 10,000 48 dialect per 10,000 then 34 author per 10,000 9 dialect per 10,000 wee 34 author per 10,000 18 dialect per 10,000 auld 34 author per 10,000 8 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 23 dialect per 10,000 wir 34 author per 10,000 5 dialect per 10,000 hame 34 author per 10,000 12 dialect per 10,000 anither 34 author per 10,000 7 dialect per 10,000 aff 34 author per 10,000 13 dialect per 10,000 again 34 author per 10,000 11 dialect per 10,000 some 34 author per 10,000 13 dialect per 10,000 time 34 author per 10,000 20 dialect per 10,000 man 34 author per 10,000 6 dialect per 10,000 thocht 34 author per 10,000 13 dialect per 10,000 year 34 author per 10,000 5 dialect per 10,000 gaed 34 author per 10,000 8 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 51 dialect per 10,000 get 22 author per 10,000 15 dialect per 10,000 broon 22 author per 10,000 2 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 8 dialect per 10,000 their 22 author per 10,000 20 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 4 dialect per 10,000 had 22 author per 10,000 3 dialect per 10,000 freend 22 author per 10,000 0 dialect per 10,000 life 22 author per 10,000 6 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 9 dialect per 10,000 gied 22 author per 10,000 5 dialect per 10,000 mair 22 author per 10,000 18 dialect per 10,000 road 22 author per 10,000 4 dialect per 10,000 or 22 author per 10,000 25 dialect per 10,000 frae 22 author per 10,000 11 dialect per 10,000 wi 22 author per 10,000 82 dialect per 10,000 see 22 author per 10,000 22 dialect per 10,000 no 22 author per 10,000 8 dialect per 10,000 sun 22 author per 10,000 2 dialect per 10,000 so 22 author per 10,000 14 dialect per 10,000 nae 22 author per 10,000 49 dialect per 10,000 drinkin 22 author per 10,000 0 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 fer 22 author per 10,000 3 dialect per 10,000 morn 22 author per 10,000 1 dialect per 10,000 lang 22 author per 10,000 13 dialect per 10,000 them 22 author per 10,000 26 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 fowk 22 author per 10,000 13 dialect per 10,000 if 22 author per 10,000 17 dialect per 10,000 yer 22 author per 10,000 34 dialect per 10,000 aboot 22 author per 10,000 33 dialect per 10,000 tellt 22 author per 10,000 2 dialect per 10,000 went 22 author per 10,000 5 dialect per 10,000 could 22 author per 10,000 8 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 31 dialect per 10,000 wha 22 author per 10,000 1 dialect per 10,000 and 22 author per 10,000 43 dialect per 10,000 €™ll 22 author per 10,000 4 dialect per 10,000 this 22 author per 10,000 18 dialect per 10,000 fae 22 author per 10,000 27 dialect per 10,000 leave 22 author per 10,000 2 dialect per 10,000 abune 22 author per 10,000 0 dialect per 10,000 efter 22 author per 10,000 10 dialect per 10,000 months 22 author per 10,000 1 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 6 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000 couldna 11 author per 10,000 2 dialect per 10,000 clear 11 author per 10,000 1 dialect per 10,000 fire 11 author per 10,000 3 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 4 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 1 dialect per 10,000 derk 11 author per 10,000 1 dialect per 10,000 move 11 author per 10,000 1 dialect per 10,000 please 11 author per 10,000 3 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 9 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 4 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 6 dialect per 10,000 awa 11 author per 10,000 22 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 1 dialect per 10,000 of 11 author per 10,000 7 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 0 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 3 dialect per 10,000 much 11 author per 10,000 4 dialect per 10,000 ablow 11 author per 10,000 1 dialect per 10,000 fact 11 author per 10,000 1 dialect per 10,000 looked 11 author per 10,000 4 dialect per 10,000 find 11 author per 10,000 2 dialect per 10,000 lost 11 author per 10,000 1 dialect per 10,000 wurk 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 13 dialect per 10,000 lad 11 author per 10,000 2 dialect per 10,000 serious 11 author per 10,000 0 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 1 dialect per 10,000 taught 11 author per 10,000 0 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 43 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 0 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 1 dialect per 10,000 lass 11 author per 10,000 0 dialect per 10,000 hoose 11 author per 10,000 11 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 mony 11 author per 10,000 4 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 1 dialect per 10,000 ither 11 author per 10,000 8 dialect per 10,000 getting 11 author per 10,000 1 dialect per 10,000 day 11 author per 10,000 28 dialect per 10,000 not 11 author per 10,000 1 dialect per 10,000 why 11 author per 10,000 1 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 2 dialect per 10,000 she 11 author per 10,000 74 dialect per 10,000 hot 11 author per 10,000 0 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 3 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 12 dialect per 10,000 was 11 author per 10,000 7 dialect per 10,000 feet 11 author per 10,000 4 dialect per 10,000 towards 11 author per 10,000 1 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 said 11 author per 10,000 39 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 0 dialect per 10,000 home 11 author per 10,000 0 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000
Shetland
the 461 author per 10,000 18 dialect per 10,000 an 450 author per 10,000 330 dialect per 10,000 a 382 author per 10,000 280 dialect per 10,000 he 315 author per 10,000 103 dialect per 10,000 tae 270 author per 10,000 86 dialect per 10,000 wis 180 author per 10,000 161 dialect per 10,000 in 135 author per 10,000 105 dialect per 10,000 ye 135 author per 10,000 0 dialect per 10,000 it 112 author per 10,000 58 dialect per 10,000 o 112 author per 10,000 177 dialect per 10,000 they 112 author per 10,000 2 dialect per 10,000 his 112 author per 10,000 52 dialect per 10,000 €“ 112 author per 10,000 2 dialect per 10,000 €™s 101 author per 10,000 16 dialect per 10,000 at 90 author per 10,000 112 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 47 dialect per 10,000 be 67 author per 10,000 55 dialect per 10,000 back 67 author per 10,000 18 dialect per 10,000 €™d 67 author per 10,000 2 dialect per 10,000 for 56 author per 10,000 35 dialect per 10,000 €™ 56 author per 10,000 17 dialect per 10,000 duncan 56 author per 10,000 0 dialect per 10,000 on 56 author per 10,000 52 dialect per 10,000 i 56 author per 10,000 143 dialect per 10,000 as 56 author per 10,000 79 dialect per 10,000 hud 45 author per 10,000 0 dialect per 10,000 waitin 45 author per 10,000 1 dialect per 10,000 fur 45 author per 10,000 32 dialect per 10,000 but 45 author per 10,000 28 dialect per 10,000 here 45 author per 10,000 11 dialect per 10,000 weel 45 author per 10,000 18 dialect per 10,000 when 34 author per 10,000 5 dialect per 10,000 €™ve 34 author per 10,000 1 dialect per 10,000 whit 34 author per 10,000 39 dialect per 10,000 crossed 34 author per 10,000 0 dialect per 10,000 we 34 author per 10,000 43 dialect per 10,000 college 34 author per 10,000 0 dialect per 10,000 thir 34 author per 10,000 0 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 11 dialect per 10,000 can 34 author per 10,000 20 dialect per 10,000 sea 34 author per 10,000 6 dialect per 10,000 been 34 author per 10,000 16 dialect per 10,000 to 34 author per 10,000 8 dialect per 10,000 til 34 author per 10,000 2 dialect per 10,000 tuik 34 author per 10,000 0 dialect per 10,000 oot 34 author per 10,000 42 dialect per 10,000 then 34 author per 10,000 1 dialect per 10,000 wee 34 author per 10,000 0 dialect per 10,000 auld 34 author per 10,000 1 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 1 dialect per 10,000 wir 34 author per 10,000 49 dialect per 10,000 hame 34 author per 10,000 7 dialect per 10,000 anither 34 author per 10,000 0 dialect per 10,000 aff 34 author per 10,000 18 dialect per 10,000 again 34 author per 10,000 5 dialect per 10,000 some 34 author per 10,000 13 dialect per 10,000 time 34 author per 10,000 21 dialect per 10,000 man 34 author per 10,000 17 dialect per 10,000 thocht 34 author per 10,000 0 dialect per 10,000 year 34 author per 10,000 7 dialect per 10,000 gaed 34 author per 10,000 0 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 4 dialect per 10,000 get 22 author per 10,000 6 dialect per 10,000 broon 22 author per 10,000 1 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 7 dialect per 10,000 their 22 author per 10,000 1 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 12 dialect per 10,000 had 22 author per 10,000 2 dialect per 10,000 freend 22 author per 10,000 2 dialect per 10,000 life 22 author per 10,000 7 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 8 dialect per 10,000 gied 22 author per 10,000 8 dialect per 10,000 mair 22 author per 10,000 19 dialect per 10,000 road 22 author per 10,000 0 dialect per 10,000 or 22 author per 10,000 32 dialect per 10,000 frae 22 author per 10,000 0 dialect per 10,000 wi 22 author per 10,000 95 dialect per 10,000 see 22 author per 10,000 20 dialect per 10,000 no 22 author per 10,000 35 dialect per 10,000 sun 22 author per 10,000 3 dialect per 10,000 so 22 author per 10,000 26 dialect per 10,000 nae 22 author per 10,000 23 dialect per 10,000 drinkin 22 author per 10,000 0 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 fer 22 author per 10,000 0 dialect per 10,000 morn 22 author per 10,000 0 dialect per 10,000 lang 22 author per 10,000 11 dialect per 10,000 them 22 author per 10,000 1 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 fowk 22 author per 10,000 0 dialect per 10,000 if 22 author per 10,000 25 dialect per 10,000 yer 22 author per 10,000 0 dialect per 10,000 aboot 22 author per 10,000 41 dialect per 10,000 tellt 22 author per 10,000 1 dialect per 10,000 went 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 12 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 41 dialect per 10,000 wha 22 author per 10,000 5 dialect per 10,000 and 22 author per 10,000 15 dialect per 10,000 €™ll 22 author per 10,000 5 dialect per 10,000 this 22 author per 10,000 1 dialect per 10,000 fae 22 author per 10,000 40 dialect per 10,000 leave 22 author per 10,000 0 dialect per 10,000 abune 22 author per 10,000 0 dialect per 10,000 efter 22 author per 10,000 9 dialect per 10,000 months 22 author per 10,000 0 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 0 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000 couldna 11 author per 10,000 4 dialect per 10,000 clear 11 author per 10,000 2 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 2 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 0 dialect per 10,000 derk 11 author per 10,000 0 dialect per 10,000 move 11 author per 10,000 1 dialect per 10,000 please 11 author per 10,000 2 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 7 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 3 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 0 dialect per 10,000 awa 11 author per 10,000 13 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 0 dialect per 10,000 of 11 author per 10,000 11 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 0 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 1 dialect per 10,000 much 11 author per 10,000 2 dialect per 10,000 ablow 11 author per 10,000 0 dialect per 10,000 fact 11 author per 10,000 1 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 find 11 author per 10,000 0 dialect per 10,000 lost 11 author per 10,000 3 dialect per 10,000 wurk 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 lad 11 author per 10,000 0 dialect per 10,000 serious 11 author per 10,000 0 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 0 dialect per 10,000 taught 11 author per 10,000 0 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 51 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 1 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 0 dialect per 10,000 lass 11 author per 10,000 7 dialect per 10,000 hoose 11 author per 10,000 8 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 mony 11 author per 10,000 4 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 2 dialect per 10,000 ither 11 author per 10,000 0 dialect per 10,000 getting 11 author per 10,000 0 dialect per 10,000 day 11 author per 10,000 18 dialect per 10,000 not 11 author per 10,000 2 dialect per 10,000 why 11 author per 10,000 2 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 1 dialect per 10,000 she 11 author per 10,000 7 dialect per 10,000 hot 11 author per 10,000 0 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 1 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 3 dialect per 10,000 was 11 author per 10,000 3 dialect per 10,000 feet 11 author per 10,000 3 dialect per 10,000 towards 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 said 11 author per 10,000 61 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 1 dialect per 10,000 home 11 author per 10,000 0 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000 		Orkney
the 461 author per 10,000 581 dialect per 10,000 an 450 author per 10,000 179 dialect per 10,000 a 382 author per 10,000 296 dialect per 10,000 he 315 author per 10,000 88 dialect per 10,000 tae 270 author per 10,000 222 dialect per 10,000 wis 180 author per 10,000 79 dialect per 10,000 in 135 author per 10,000 147 dialect per 10,000 ye 135 author per 10,000 17 dialect per 10,000 it 112 author per 10,000 23 dialect per 10,000 o 112 author per 10,000 199 dialect per 10,000 they 112 author per 10,000 35 dialect per 10,000 his 112 author per 10,000 63 dialect per 10,000 €“ 112 author per 10,000 14 dialect per 10,000 €™s 101 author per 10,000 18 dialect per 10,000 at 90 author per 10,000 53 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 21 dialect per 10,000 be 67 author per 10,000 42 dialect per 10,000 back 67 author per 10,000 27 dialect per 10,000 €™d 67 author per 10,000 2 dialect per 10,000 for 56 author per 10,000 24 dialect per 10,000 €™ 56 author per 10,000 14 dialect per 10,000 duncan 56 author per 10,000 0 dialect per 10,000 on 56 author per 10,000 73 dialect per 10,000 i 56 author per 10,000 156 dialect per 10,000 as 56 author per 10,000 48 dialect per 10,000 hud 45 author per 10,000 0 dialect per 10,000 waitin 45 author per 10,000 0 dialect per 10,000 fur 45 author per 10,000 50 dialect per 10,000 but 45 author per 10,000 28 dialect per 10,000 here 45 author per 10,000 12 dialect per 10,000 weel 45 author per 10,000 18 dialect per 10,000 when 34 author per 10,000 23 dialect per 10,000 €™ve 34 author per 10,000 1 dialect per 10,000 whit 34 author per 10,000 29 dialect per 10,000 crossed 34 author per 10,000 0 dialect per 10,000 we 34 author per 10,000 30 dialect per 10,000 college 34 author per 10,000 1 dialect per 10,000 thir 34 author per 10,000 30 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 10 dialect per 10,000 can 34 author per 10,000 13 dialect per 10,000 sea 34 author per 10,000 7 dialect per 10,000 been 34 author per 10,000 18 dialect per 10,000 to 34 author per 10,000 9 dialect per 10,000 til 34 author per 10,000 1 dialect per 10,000 tuik 34 author per 10,000 0 dialect per 10,000 oot 34 author per 10,000 51 dialect per 10,000 then 34 author per 10,000 18 dialect per 10,000 wee 34 author per 10,000 1 dialect per 10,000 auld 34 author per 10,000 1 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 18 dialect per 10,000 wir 34 author per 10,000 27 dialect per 10,000 hame 34 author per 10,000 1 dialect per 10,000 anither 34 author per 10,000 8 dialect per 10,000 aff 34 author per 10,000 8 dialect per 10,000 again 34 author per 10,000 12 dialect per 10,000 some 34 author per 10,000 17 dialect per 10,000 time 34 author per 10,000 18 dialect per 10,000 man 34 author per 10,000 12 dialect per 10,000 thocht 34 author per 10,000 0 dialect per 10,000 year 34 author per 10,000 7 dialect per 10,000 gaed 34 author per 10,000 9 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 75 dialect per 10,000 get 22 author per 10,000 10 dialect per 10,000 broon 22 author per 10,000 2 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 0 dialect per 10,000 their 22 author per 10,000 7 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 2 dialect per 10,000 had 22 author per 10,000 2 dialect per 10,000 freend 22 author per 10,000 1 dialect per 10,000 life 22 author per 10,000 7 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 6 dialect per 10,000 gied 22 author per 10,000 2 dialect per 10,000 mair 22 author per 10,000 1 dialect per 10,000 road 22 author per 10,000 5 dialect per 10,000 or 22 author per 10,000 30 dialect per 10,000 frae 22 author per 10,000 0 dialect per 10,000 wi 22 author per 10,000 48 dialect per 10,000 see 22 author per 10,000 16 dialect per 10,000 no 22 author per 10,000 59 dialect per 10,000 sun 22 author per 10,000 3 dialect per 10,000 so 22 author per 10,000 29 dialect per 10,000 nae 22 author per 10,000 3 dialect per 10,000 drinkin 22 author per 10,000 0 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 fer 22 author per 10,000 12 dialect per 10,000 morn 22 author per 10,000 1 dialect per 10,000 lang 22 author per 10,000 2 dialect per 10,000 them 22 author per 10,000 17 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 6 dialect per 10,000 fowk 22 author per 10,000 0 dialect per 10,000 if 22 author per 10,000 15 dialect per 10,000 yer 22 author per 10,000 7 dialect per 10,000 aboot 22 author per 10,000 26 dialect per 10,000 tellt 22 author per 10,000 1 dialect per 10,000 went 22 author per 10,000 1 dialect per 10,000 could 22 author per 10,000 12 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 2 dialect per 10,000 me 22 author per 10,000 111 dialect per 10,000 wha 22 author per 10,000 4 dialect per 10,000 and 22 author per 10,000 191 dialect per 10,000 €™ll 22 author per 10,000 2 dialect per 10,000 this 22 author per 10,000 35 dialect per 10,000 fae 22 author per 10,000 37 dialect per 10,000 leave 22 author per 10,000 1 dialect per 10,000 abune 22 author per 10,000 1 dialect per 10,000 efter 22 author per 10,000 6 dialect per 10,000 months 22 author per 10,000 1 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 4 dialect per 10,000 loud 11 author per 10,000 0 dialect per 10,000 couldna 11 author per 10,000 5 dialect per 10,000 clear 11 author per 10,000 1 dialect per 10,000 fire 11 author per 10,000 3 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 4 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 7 dialect per 10,000 derk 11 author per 10,000 0 dialect per 10,000 move 11 author per 10,000 2 dialect per 10,000 please 11 author per 10,000 0 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 16 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 4 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 6 dialect per 10,000 awa 11 author per 10,000 1 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 1 dialect per 10,000 of 11 author per 10,000 6 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 0 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 1 dialect per 10,000 much 11 author per 10,000 6 dialect per 10,000 ablow 11 author per 10,000 0 dialect per 10,000 fact 11 author per 10,000 1 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 find 11 author per 10,000 3 dialect per 10,000 lost 11 author per 10,000 4 dialect per 10,000 wurk 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 lad 11 author per 10,000 3 dialect per 10,000 serious 11 author per 10,000 0 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 1 dialect per 10,000 taught 11 author per 10,000 0 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 8 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 0 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 1 dialect per 10,000 lass 11 author per 10,000 4 dialect per 10,000 hoose 11 author per 10,000 11 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 4 dialect per 10,000 mony 11 author per 10,000 1 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 1 dialect per 10,000 ither 11 author per 10,000 9 dialect per 10,000 getting 11 author per 10,000 0 dialect per 10,000 day 11 author per 10,000 21 dialect per 10,000 not 11 author per 10,000 2 dialect per 10,000 why 11 author per 10,000 4 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 1 dialect per 10,000 she 11 author per 10,000 8 dialect per 10,000 hot 11 author per 10,000 2 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 3 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 0 dialect per 10,000 was 11 author per 10,000 2 dialect per 10,000 feet 11 author per 10,000 5 dialect per 10,000 towards 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 said 11 author per 10,000 15 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 1 dialect per 10,000 home 11 author per 10,000 10 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000
Southern
the 461 author per 10,000 436 dialect per 10,000 an 450 author per 10,000 310 dialect per 10,000 a 382 author per 10,000 222 dialect per 10,000 he 315 author per 10,000 11 dialect per 10,000 tae 270 author per 10,000 202 dialect per 10,000 wis 180 author per 10,000 58 dialect per 10,000 in 135 author per 10,000 106 dialect per 10,000 ye 135 author per 10,000 19 dialect per 10,000 it 112 author per 10,000 58 dialect per 10,000 o 112 author per 10,000 212 dialect per 10,000 they 112 author per 10,000 30 dialect per 10,000 his 112 author per 10,000 37 dialect per 10,000 €“ 112 author per 10,000 5 dialect per 10,000 €™s 101 author per 10,000 37 dialect per 10,000 at 90 author per 10,000 74 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 12 dialect per 10,000 be 67 author per 10,000 10 dialect per 10,000 back 67 author per 10,000 19 dialect per 10,000 €™d 67 author per 10,000 7 dialect per 10,000 for 56 author per 10,000 22 dialect per 10,000 €™ 56 author per 10,000 15 dialect per 10,000 duncan 56 author per 10,000 0 dialect per 10,000 on 56 author per 10,000 56 dialect per 10,000 i 56 author per 10,000 77 dialect per 10,000 as 56 author per 10,000 50 dialect per 10,000 hud 45 author per 10,000 3 dialect per 10,000 waitin 45 author per 10,000 2 dialect per 10,000 fur 45 author per 10,000 43 dialect per 10,000 but 45 author per 10,000 38 dialect per 10,000 here 45 author per 10,000 14 dialect per 10,000 weel 45 author per 10,000 4 dialect per 10,000 when 34 author per 10,000 14 dialect per 10,000 €™ve 34 author per 10,000 4 dialect per 10,000 whit 34 author per 10,000 33 dialect per 10,000 crossed 34 author per 10,000 1 dialect per 10,000 we 34 author per 10,000 9 dialect per 10,000 college 34 author per 10,000 0 dialect per 10,000 thir 34 author per 10,000 2 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 18 dialect per 10,000 can 34 author per 10,000 10 dialect per 10,000 sea 34 author per 10,000 3 dialect per 10,000 been 34 author per 10,000 11 dialect per 10,000 to 34 author per 10,000 1 dialect per 10,000 til 34 author per 10,000 29 dialect per 10,000 tuik 34 author per 10,000 2 dialect per 10,000 oot 34 author per 10,000 35 dialect per 10,000 then 34 author per 10,000 16 dialect per 10,000 wee 34 author per 10,000 23 dialect per 10,000 auld 34 author per 10,000 20 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 16 dialect per 10,000 wir 34 author per 10,000 1 dialect per 10,000 hame 34 author per 10,000 9 dialect per 10,000 anither 34 author per 10,000 8 dialect per 10,000 aff 34 author per 10,000 4 dialect per 10,000 again 34 author per 10,000 3 dialect per 10,000 some 34 author per 10,000 10 dialect per 10,000 time 34 author per 10,000 13 dialect per 10,000 man 34 author per 10,000 7 dialect per 10,000 thocht 34 author per 10,000 14 dialect per 10,000 year 34 author per 10,000 5 dialect per 10,000 gaed 34 author per 10,000 8 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 63 dialect per 10,000 get 22 author per 10,000 10 dialect per 10,000 broon 22 author per 10,000 0 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 9 dialect per 10,000 their 22 author per 10,000 13 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 13 dialect per 10,000 had 22 author per 10,000 0 dialect per 10,000 freend 22 author per 10,000 0 dialect per 10,000 life 22 author per 10,000 6 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 9 dialect per 10,000 gied 22 author per 10,000 1 dialect per 10,000 mair 22 author per 10,000 16 dialect per 10,000 road 22 author per 10,000 7 dialect per 10,000 or 22 author per 10,000 22 dialect per 10,000 frae 22 author per 10,000 40 dialect per 10,000 wi 22 author per 10,000 70 dialect per 10,000 see 22 author per 10,000 4 dialect per 10,000 no 22 author per 10,000 29 dialect per 10,000 sun 22 author per 10,000 3 dialect per 10,000 so 22 author per 10,000 1 dialect per 10,000 nae 22 author per 10,000 25 dialect per 10,000 drinkin 22 author per 10,000 1 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 fer 22 author per 10,000 2 dialect per 10,000 morn 22 author per 10,000 1 dialect per 10,000 lang 22 author per 10,000 13 dialect per 10,000 them 22 author per 10,000 4 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 fowk 22 author per 10,000 4 dialect per 10,000 if 22 author per 10,000 16 dialect per 10,000 yer 22 author per 10,000 10 dialect per 10,000 aboot 22 author per 10,000 31 dialect per 10,000 tellt 22 author per 10,000 0 dialect per 10,000 went 22 author per 10,000 14 dialect per 10,000 could 22 author per 10,000 12 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 15 dialect per 10,000 wha 22 author per 10,000 1 dialect per 10,000 and 22 author per 10,000 15 dialect per 10,000 €™ll 22 author per 10,000 2 dialect per 10,000 this 22 author per 10,000 34 dialect per 10,000 fae 22 author per 10,000 0 dialect per 10,000 leave 22 author per 10,000 1 dialect per 10,000 abune 22 author per 10,000 0 dialect per 10,000 efter 22 author per 10,000 14 dialect per 10,000 months 22 author per 10,000 0 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 1 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000 couldna 11 author per 10,000 1 dialect per 10,000 clear 11 author per 10,000 1 dialect per 10,000 fire 11 author per 10,000 1 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 2 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 0 dialect per 10,000 derk 11 author per 10,000 1 dialect per 10,000 move 11 author per 10,000 0 dialect per 10,000 please 11 author per 10,000 3 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 3 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 4 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 5 dialect per 10,000 awa 11 author per 10,000 15 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 2 dialect per 10,000 of 11 author per 10,000 9 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 0 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 2 dialect per 10,000 much 11 author per 10,000 6 dialect per 10,000 ablow 11 author per 10,000 1 dialect per 10,000 fact 11 author per 10,000 2 dialect per 10,000 looked 11 author per 10,000 7 dialect per 10,000 find 11 author per 10,000 1 dialect per 10,000 lost 11 author per 10,000 1 dialect per 10,000 wurk 11 author per 10,000 3 dialect per 10,000 war 11 author per 10,000 5 dialect per 10,000 lad 11 author per 10,000 0 dialect per 10,000 serious 11 author per 10,000 1 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 0 dialect per 10,000 taught 11 author per 10,000 1 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 10 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 0 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 1 dialect per 10,000 lass 11 author per 10,000 2 dialect per 10,000 hoose 11 author per 10,000 22 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 mony 11 author per 10,000 3 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 0 dialect per 10,000 ither 11 author per 10,000 13 dialect per 10,000 getting 11 author per 10,000 0 dialect per 10,000 day 11 author per 10,000 16 dialect per 10,000 not 11 author per 10,000 0 dialect per 10,000 why 11 author per 10,000 1 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 2 dialect per 10,000 she 11 author per 10,000 97 dialect per 10,000 hot 11 author per 10,000 1 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 2 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 7 dialect per 10,000 was 11 author per 10,000 59 dialect per 10,000 feet 11 author per 10,000 3 dialect per 10,000 towards 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 2 dialect per 10,000 said 11 author per 10,000 71 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 0 dialect per 10,000 home 11 author per 10,000 0 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000 		Ulster
the 461 author per 10,000 296 dialect per 10,000 an 450 author per 10,000 364 dialect per 10,000 a 382 author per 10,000 284 dialect per 10,000 he 315 author per 10,000 63 dialect per 10,000 tae 270 author per 10,000 259 dialect per 10,000 wis 180 author per 10,000 1 dialect per 10,000 in 135 author per 10,000 120 dialect per 10,000 ye 135 author per 10,000 79 dialect per 10,000 it 112 author per 10,000 71 dialect per 10,000 o 112 author per 10,000 210 dialect per 10,000 they 112 author per 10,000 26 dialect per 10,000 his 112 author per 10,000 19 dialect per 10,000 €“ 112 author per 10,000 0 dialect per 10,000 €™s 101 author per 10,000 11 dialect per 10,000 at 90 author per 10,000 58 dialect per 10,000 donnie 90 author per 10,000 0 dialect per 10,000 him 90 author per 10,000 9 dialect per 10,000 be 67 author per 10,000 40 dialect per 10,000 back 67 author per 10,000 3 dialect per 10,000 €™d 67 author per 10,000 2 dialect per 10,000 for 56 author per 10,000 33 dialect per 10,000 €™ 56 author per 10,000 16 dialect per 10,000 duncan 56 author per 10,000 0 dialect per 10,000 on 56 author per 10,000 54 dialect per 10,000 i 56 author per 10,000 10 dialect per 10,000 as 56 author per 10,000 29 dialect per 10,000 hud 45 author per 10,000 0 dialect per 10,000 waitin 45 author per 10,000 2 dialect per 10,000 fur 45 author per 10,000 45 dialect per 10,000 but 45 author per 10,000 42 dialect per 10,000 here 45 author per 10,000 10 dialect per 10,000 weel 45 author per 10,000 13 dialect per 10,000 when 34 author per 10,000 2 dialect per 10,000 €™ve 34 author per 10,000 0 dialect per 10,000 whit 34 author per 10,000 2 dialect per 10,000 crossed 34 author per 10,000 0 dialect per 10,000 we 34 author per 10,000 18 dialect per 10,000 college 34 author per 10,000 1 dialect per 10,000 thir 34 author per 10,000 4 dialect per 10,000 joe 34 author per 10,000 0 dialect per 10,000 say 34 author per 10,000 10 dialect per 10,000 can 34 author per 10,000 14 dialect per 10,000 sea 34 author per 10,000 1 dialect per 10,000 been 34 author per 10,000 2 dialect per 10,000 to 34 author per 10,000 2 dialect per 10,000 til 34 author per 10,000 17 dialect per 10,000 tuik 34 author per 10,000 0 dialect per 10,000 oot 34 author per 10,000 51 dialect per 10,000 then 34 author per 10,000 17 dialect per 10,000 wee 34 author per 10,000 26 dialect per 10,000 auld 34 author per 10,000 1 dialect per 10,000 sayd 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 6 dialect per 10,000 wir 34 author per 10,000 1 dialect per 10,000 hame 34 author per 10,000 9 dialect per 10,000 anither 34 author per 10,000 9 dialect per 10,000 aff 34 author per 10,000 15 dialect per 10,000 again 34 author per 10,000 2 dialect per 10,000 some 34 author per 10,000 6 dialect per 10,000 time 34 author per 10,000 13 dialect per 10,000 man 34 author per 10,000 17 dialect per 10,000 thocht 34 author per 10,000 11 dialect per 10,000 year 34 author per 10,000 2 dialect per 10,000 gaed 34 author per 10,000 4 dialect per 10,000 derry 22 author per 10,000 0 dialect per 10,000 that 22 author per 10,000 72 dialect per 10,000 get 22 author per 10,000 8 dialect per 10,000 broon 22 author per 10,000 1 dialect per 10,000 lili 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 15 dialect per 10,000 their 22 author per 10,000 6 dialect per 10,000 wine 22 author per 10,000 1 dialect per 10,000 guid 22 author per 10,000 18 dialect per 10,000 had 22 author per 10,000 15 dialect per 10,000 freend 22 author per 10,000 0 dialect per 10,000 life 22 author per 10,000 5 dialect per 10,000 fairmhoose 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 tell 22 author per 10,000 10 dialect per 10,000 gied 22 author per 10,000 1 dialect per 10,000 mair 22 author per 10,000 30 dialect per 10,000 road 22 author per 10,000 2 dialect per 10,000 or 22 author per 10,000 36 dialect per 10,000 frae 22 author per 10,000 33 dialect per 10,000 wi 22 author per 10,000 61 dialect per 10,000 see 22 author per 10,000 16 dialect per 10,000 no 22 author per 10,000 22 dialect per 10,000 sun 22 author per 10,000 1 dialect per 10,000 so 22 author per 10,000 5 dialect per 10,000 nae 22 author per 10,000 23 dialect per 10,000 drinkin 22 author per 10,000 1 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 fer 22 author per 10,000 34 dialect per 10,000 morn 22 author per 10,000 1 dialect per 10,000 lang 22 author per 10,000 12 dialect per 10,000 them 22 author per 10,000 7 dialect per 10,000 pilgrim 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 4 dialect per 10,000 fowk 22 author per 10,000 23 dialect per 10,000 if 22 author per 10,000 13 dialect per 10,000 yer 22 author per 10,000 38 dialect per 10,000 aboot 22 author per 10,000 27 dialect per 10,000 tellt 22 author per 10,000 0 dialect per 10,000 went 22 author per 10,000 12 dialect per 10,000 could 22 author per 10,000 1 dialect per 10,000 €˜sure 22 author per 10,000 0 dialect per 10,000 sune 22 author per 10,000 0 dialect per 10,000 ould 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 24 dialect per 10,000 wha 22 author per 10,000 10 dialect per 10,000 and 22 author per 10,000 10 dialect per 10,000 €™ll 22 author per 10,000 2 dialect per 10,000 this 22 author per 10,000 28 dialect per 10,000 fae 22 author per 10,000 14 dialect per 10,000 leave 22 author per 10,000 0 dialect per 10,000 abune 22 author per 10,000 0 dialect per 10,000 efter 22 author per 10,000 5 dialect per 10,000 months 22 author per 10,000 0 dialect per 10,000 buke 22 author per 10,000 0 dialect per 10,000 three 22 author per 10,000 3 dialect per 10,000 loud 11 author per 10,000 1 dialect per 10,000 couldna 11 author per 10,000 0 dialect per 10,000 clear 11 author per 10,000 2 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 €˜ye 11 author per 10,000 0 dialect per 10,000 really 11 author per 10,000 1 dialect per 10,000 wanderlust 11 author per 10,000 0 dialect per 10,000 long 11 author per 10,000 0 dialect per 10,000 derk 11 author per 10,000 0 dialect per 10,000 move 11 author per 10,000 0 dialect per 10,000 please 11 author per 10,000 1 dialect per 10,000 guinness 11 author per 10,000 0 dialect per 10,000 by 11 author per 10,000 8 dialect per 10,000 yez 11 author per 10,000 0 dialect per 10,000 sat 11 author per 10,000 0 dialect per 10,000 crime 11 author per 10,000 0 dialect per 10,000 spain 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 4 dialect per 10,000 awa 11 author per 10,000 16 dialect per 10,000 granada 11 author per 10,000 0 dialect per 10,000 madrid 11 author per 10,000 0 dialect per 10,000 sort 11 author per 10,000 0 dialect per 10,000 of 11 author per 10,000 2 dialect per 10,000 shrugged 11 author per 10,000 0 dialect per 10,000 whitever 11 author per 10,000 0 dialect per 10,000 twentieth-century 11 author per 10,000 0 dialect per 10,000 glow 11 author per 10,000 0 dialect per 10,000 stiff 11 author per 10,000 0 dialect per 10,000 gang 11 author per 10,000 4 dialect per 10,000 much 11 author per 10,000 3 dialect per 10,000 ablow 11 author per 10,000 1 dialect per 10,000 fact 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 find 11 author per 10,000 0 dialect per 10,000 lost 11 author per 10,000 0 dialect per 10,000 wurk 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 lad 11 author per 10,000 1 dialect per 10,000 serious 11 author per 10,000 0 dialect per 10,000 haly 11 author per 10,000 0 dialect per 10,000 food 11 author per 10,000 0 dialect per 10,000 taught 11 author per 10,000 0 dialect per 10,000 intact 11 author per 10,000 0 dialect per 10,000 aa 11 author per 10,000 45 dialect per 10,000 supped 11 author per 10,000 0 dialect per 10,000 french 11 author per 10,000 0 dialect per 10,000 grail 11 author per 10,000 0 dialect per 10,000 daft 11 author per 10,000 1 dialect per 10,000 lass 11 author per 10,000 1 dialect per 10,000 hoose 11 author per 10,000 13 dialect per 10,000 stayed 11 author per 10,000 0 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 mony 11 author per 10,000 1 dialect per 10,000 warsled 11 author per 10,000 0 dialect per 10,000 with 11 author per 10,000 1 dialect per 10,000 ither 11 author per 10,000 16 dialect per 10,000 getting 11 author per 10,000 1 dialect per 10,000 day 11 author per 10,000 15 dialect per 10,000 not 11 author per 10,000 1 dialect per 10,000 why 11 author per 10,000 4 dialect per 10,000 belang 11 author per 10,000 0 dialect per 10,000 tale 11 author per 10,000 1 dialect per 10,000 she 11 author per 10,000 13 dialect per 10,000 hot 11 author per 10,000 0 dialect per 10,000 motives 11 author per 10,000 0 dialect per 10,000 €˜aweel 11 author per 10,000 0 dialect per 10,000 lot 11 author per 10,000 1 dialect per 10,000 baked 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 6 dialect per 10,000 was 11 author per 10,000 11 dialect per 10,000 feet 11 author per 10,000 3 dialect per 10,000 towards 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 1 dialect per 10,000 said 11 author per 10,000 29 dialect per 10,000 anyone 11 author per 10,000 0 dialect per 10,000 apathy 11 author per 10,000 0 dialect per 10,000 don 11 author per 10,000 0 dialect per 10,000 home 11 author per 10,000 0 dialect per 10,000 nem 11 author per 10,000 0 dialect per 10,000 relaxt 11 author per 10,000 0 dialect per 10,000