A Corpus of 21st Century Scots Texts

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Jarvie, Gordon


Total words by this author in corpus - 1,205
Total unique words used by this author in corpus - 592
Ratio of total words to unique words - 2.035
Top ten most common words - an, the, a, tae, he, wis, in, ye, o, they,

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
an 423 author per 10,000 224 dialect per 10,000 the 390 author per 10,000 565 dialect per 10,000 a 357 author per 10,000 266 dialect per 10,000 tae 274 author per 10,000 211 dialect per 10,000 he 232 author per 10,000 86 dialect per 10,000 wis 166 author per 10,000 96 dialect per 10,000 in 133 author per 10,000 147 dialect per 10,000 ye 116 author per 10,000 62 dialect per 10,000 o 108 author per 10,000 183 dialect per 10,000 they 108 author per 10,000 41 dialect per 10,000 it 100 author per 10,000 116 dialect per 10,000 his 100 author per 10,000 58 dialect per 10,000 €“ 100 author per 10,000 5 dialect per 10,000 €™s 83 author per 10,000 32 dialect per 10,000 at 75 author per 10,000 59 dialect per 10,000 as 66 author per 10,000 59 dialect per 10,000 €™d 66 author per 10,000 6 dialect per 10,000 him 66 author per 10,000 28 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 54 dialect per 10,000 be 58 author per 10,000 48 dialect per 10,000 that 58 author per 10,000 106 dialect per 10,000 i 58 author per 10,000 40 dialect per 10,000 back 50 author per 10,000 21 dialect per 10,000 €™ 50 author per 10,000 38 dialect per 10,000 but 50 author per 10,000 48 dialect per 10,000 tung 41 author per 10,000 2 dialect per 10,000 fur 41 author per 10,000 22 dialect per 10,000 we 41 author per 10,000 34 dialect per 10,000 or 41 author per 10,000 29 dialect per 10,000 yer 41 author per 10,000 20 dialect per 10,000 duncan 41 author per 10,000 0 dialect per 10,000 for 41 author per 10,000 47 dialect per 10,000 here 41 author per 10,000 12 dialect per 10,000 auld 41 author per 10,000 14 dialect per 10,000 hud 41 author per 10,000 6 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 wee 33 author per 10,000 30 dialect per 10,000 tuik 33 author per 10,000 1 dialect per 10,000 ken 33 author per 10,000 14 dialect per 10,000 thon 33 author per 10,000 7 dialect per 10,000 sea 33 author per 10,000 2 dialect per 10,000 no 33 author per 10,000 36 dialect per 10,000 lang 33 author per 10,000 10 dialect per 10,000 can 33 author per 10,000 14 dialect per 10,000 whit 33 author per 10,000 29 dialect per 10,000 gied 33 author per 10,000 5 dialect per 10,000 wir 33 author per 10,000 5 dialect per 10,000 thir 33 author per 10,000 6 dialect per 10,000 waitin 33 author per 10,000 2 dialect per 10,000 oot 33 author per 10,000 40 dialect per 10,000 road 33 author per 10,000 4 dialect per 10,000 wi 33 author per 10,000 67 dialect per 10,000 weel 33 author per 10,000 10 dialect per 10,000 her 33 author per 10,000 46 dialect per 10,000 year 33 author per 10,000 7 dialect per 10,000 us 33 author per 10,000 15 dialect per 10,000 see 25 author per 10,000 17 dialect per 10,000 aff 25 author per 10,000 14 dialect per 10,000 mither 25 author per 10,000 4 dialect per 10,000 there 25 author per 10,000 23 dialect per 10,000 time 25 author per 10,000 18 dialect per 10,000 €™ve 25 author per 10,000 4 dialect per 10,000 joe 25 author per 10,000 0 dialect per 10,000 again 25 author per 10,000 9 dialect per 10,000 aa 25 author per 10,000 14 dialect per 10,000 been 25 author per 10,000 18 dialect per 10,000 thocht 25 author per 10,000 8 dialect per 10,000 college 25 author per 10,000 0 dialect per 10,000 lik 25 author per 10,000 5 dialect per 10,000 fer 25 author per 10,000 4 dialect per 10,000 scots 25 author per 10,000 27 dialect per 10,000 crossed 25 author per 10,000 0 dialect per 10,000 some 25 author per 10,000 13 dialect per 10,000 hame 25 author per 10,000 6 dialect per 10,000 man 25 author per 10,000 11 dialect per 10,000 then 25 author per 10,000 17 dialect per 10,000 when 25 author per 10,000 18 dialect per 10,000 sayd 25 author per 10,000 0 dialect per 10,000 anither 25 author per 10,000 6 dialect per 10,000 fae 25 author per 10,000 26 dialect per 10,000 gaed 25 author per 10,000 5 dialect per 10,000 wha 25 author per 10,000 8 dialect per 10,000 to 25 author per 10,000 9 dialect per 10,000 place 25 author per 10,000 5 dialect per 10,000 til 25 author per 10,000 5 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 0 dialect per 10,000 me 17 author per 10,000 40 dialect per 10,000 ready 17 author per 10,000 1 dialect per 10,000 guid 17 author per 10,000 11 dialect per 10,000 broon 17 author per 10,000 1 dialect per 10,000 till 17 author per 10,000 3 dialect per 10,000 €™re 17 author per 10,000 3 dialect per 10,000 ould 17 author per 10,000 0 dialect per 10,000 haun 17 author per 10,000 4 dialect per 10,000 sterts 17 author per 10,000 0 dialect per 10,000 gie 17 author per 10,000 7 dialect per 10,000 sun 17 author per 10,000 2 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 29 dialect per 10,000 leid 17 author per 10,000 5 dialect per 10,000 ain 17 author per 10,000 10 dialect per 10,000 their 17 author per 10,000 19 dialect per 10,000 if 17 author per 10,000 17 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 24 dialect per 10,000 get 17 author per 10,000 15 dialect per 10,000 this 17 author per 10,000 41 dialect per 10,000 ca 17 author per 10,000 0 dialect per 10,000 ilk 17 author per 10,000 2 dialect per 10,000 abune 17 author per 10,000 1 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 20 dialect per 10,000 hell 17 author per 10,000 1 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 7 dialect per 10,000 three 17 author per 10,000 6 dialect per 10,000 frae 17 author per 10,000 16 dialect per 10,000 fowk 17 author per 10,000 12 dialect per 10,000 months 17 author per 10,000 1 dialect per 10,000 efter 17 author per 10,000 10 dialect per 10,000 so 17 author per 10,000 10 dialect per 10,000 went 17 author per 10,000 7 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 6 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 5 dialect per 10,000 lane 17 author per 10,000 1 dialect per 10,000 holy 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 94 dialect per 10,000 them 17 author per 10,000 17 dialect per 10,000 is 17 author per 10,000 58 dialect per 10,000 leave 17 author per 10,000 1 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 1 dialect per 10,000 €™ll 17 author per 10,000 4 dialect per 10,000 up 17 author per 10,000 40 dialect per 10,000 - 17 author per 10,000 27 dialect per 10,000 aye 17 author per 10,000 16 dialect per 10,000 ma 17 author per 10,000 52 dialect per 10,000 could 17 author per 10,000 9 dialect per 10,000 tell 17 author per 10,000 8 dialect per 10,000 hiv 17 author per 10,000 2 dialect per 10,000 tellt 17 author per 10,000 2 dialect per 10,000 freend 17 author per 10,000 0 dialect per 10,000 had 17 author per 10,000 22 dialect per 10,000 gin 17 author per 10,000 7 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 1 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 2 dialect per 10,000 serious 8 author per 10,000 1 dialect per 10,000 wurk 8 author per 10,000 0 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 73 dialect per 10,000 erse 8 author per 10,000 1 dialect per 10,000 fella 8 author per 10,000 0 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 3 dialect per 10,000 gey 8 author per 10,000 5 dialect per 10,000 turned 8 author per 10,000 1 dialect per 10,000 prent 8 author per 10,000 0 dialect per 10,000 emma 8 author per 10,000 0 dialect per 10,000 apologies 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 2 dialect per 10,000 grail 8 author per 10,000 0 dialect per 10,000 home 8 author per 10,000 1 dialect per 10,000 don 8 author per 10,000 1 dialect per 10,000 towards 8 author per 10,000 1 dialect per 10,000 quickest 8 author per 10,000 0 dialect per 10,000 feet 8 author per 10,000 3 dialect per 10,000 prettiest 8 author per 10,000 0 dialect per 10,000 day 8 author per 10,000 14 dialect per 10,000 find 8 author per 10,000 3 dialect per 10,000 fire 8 author per 10,000 2 dialect per 10,000 gettin 8 author per 10,000 4 dialect per 10,000 foyle 8 author per 10,000 0 dialect per 10,000 interest 8 author per 10,000 1 dialect per 10,000 sailed 8 author per 10,000 0 dialect per 10,000 bain 8 author per 10,000 0 dialect per 10,000 stepped 8 author per 10,000 0 dialect per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 1 dialect per 10,000 gone 8 author per 10,000 1 dialect per 10,000 great 8 author per 10,000 3 dialect per 10,000 face 8 author per 10,000 5 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 18 dialect per 10,000 boys 8 author per 10,000 1 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000 		Doric
an 423 author per 10,000 305 dialect per 10,000 the 390 author per 10,000 451 dialect per 10,000 a 357 author per 10,000 314 dialect per 10,000 tae 274 author per 10,000 171 dialect per 10,000 he 232 author per 10,000 97 dialect per 10,000 wis 166 author per 10,000 104 dialect per 10,000 in 133 author per 10,000 131 dialect per 10,000 ye 116 author per 10,000 94 dialect per 10,000 o 108 author per 10,000 176 dialect per 10,000 they 108 author per 10,000 36 dialect per 10,000 it 100 author per 10,000 99 dialect per 10,000 his 100 author per 10,000 69 dialect per 10,000 €“ 100 author per 10,000 6 dialect per 10,000 €™s 83 author per 10,000 21 dialect per 10,000 at 75 author per 10,000 67 dialect per 10,000 as 66 author per 10,000 52 dialect per 10,000 €™d 66 author per 10,000 10 dialect per 10,000 him 66 author per 10,000 30 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 68 dialect per 10,000 be 58 author per 10,000 45 dialect per 10,000 that 58 author per 10,000 53 dialect per 10,000 i 58 author per 10,000 68 dialect per 10,000 back 50 author per 10,000 21 dialect per 10,000 €™ 50 author per 10,000 10 dialect per 10,000 but 50 author per 10,000 26 dialect per 10,000 tung 41 author per 10,000 0 dialect per 10,000 fur 41 author per 10,000 18 dialect per 10,000 we 41 author per 10,000 33 dialect per 10,000 or 41 author per 10,000 26 dialect per 10,000 yer 41 author per 10,000 36 dialect per 10,000 duncan 41 author per 10,000 1 dialect per 10,000 for 41 author per 10,000 45 dialect per 10,000 here 41 author per 10,000 11 dialect per 10,000 auld 41 author per 10,000 8 dialect per 10,000 hud 41 author per 10,000 1 dialect per 10,000 say 33 author per 10,000 14 dialect per 10,000 wee 33 author per 10,000 18 dialect per 10,000 tuik 33 author per 10,000 2 dialect per 10,000 ken 33 author per 10,000 23 dialect per 10,000 thon 33 author per 10,000 3 dialect per 10,000 sea 33 author per 10,000 4 dialect per 10,000 no 33 author per 10,000 7 dialect per 10,000 lang 33 author per 10,000 13 dialect per 10,000 can 33 author per 10,000 12 dialect per 10,000 whit 33 author per 10,000 2 dialect per 10,000 gied 33 author per 10,000 5 dialect per 10,000 wir 33 author per 10,000 5 dialect per 10,000 thir 33 author per 10,000 0 dialect per 10,000 waitin 33 author per 10,000 1 dialect per 10,000 oot 33 author per 10,000 50 dialect per 10,000 road 33 author per 10,000 4 dialect per 10,000 wi 33 author per 10,000 77 dialect per 10,000 weel 33 author per 10,000 19 dialect per 10,000 her 33 author per 10,000 64 dialect per 10,000 year 33 author per 10,000 5 dialect per 10,000 us 33 author per 10,000 7 dialect per 10,000 see 25 author per 10,000 21 dialect per 10,000 aff 25 author per 10,000 14 dialect per 10,000 mither 25 author per 10,000 8 dialect per 10,000 there 25 author per 10,000 22 dialect per 10,000 time 25 author per 10,000 19 dialect per 10,000 €™ve 25 author per 10,000 2 dialect per 10,000 joe 25 author per 10,000 0 dialect per 10,000 again 25 author per 10,000 10 dialect per 10,000 aa 25 author per 10,000 43 dialect per 10,000 been 25 author per 10,000 14 dialect per 10,000 thocht 25 author per 10,000 14 dialect per 10,000 college 25 author per 10,000 0 dialect per 10,000 lik 25 author per 10,000 4 dialect per 10,000 fer 25 author per 10,000 3 dialect per 10,000 scots 25 author per 10,000 3 dialect per 10,000 crossed 25 author per 10,000 0 dialect per 10,000 some 25 author per 10,000 13 dialect per 10,000 hame 25 author per 10,000 11 dialect per 10,000 man 25 author per 10,000 7 dialect per 10,000 then 25 author per 10,000 9 dialect per 10,000 when 25 author per 10,000 3 dialect per 10,000 sayd 25 author per 10,000 0 dialect per 10,000 anither 25 author per 10,000 8 dialect per 10,000 fae 25 author per 10,000 30 dialect per 10,000 gaed 25 author per 10,000 8 dialect per 10,000 wha 25 author per 10,000 1 dialect per 10,000 to 25 author per 10,000 8 dialect per 10,000 place 25 author per 10,000 5 dialect per 10,000 til 25 author per 10,000 3 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 0 dialect per 10,000 me 17 author per 10,000 33 dialect per 10,000 ready 17 author per 10,000 1 dialect per 10,000 guid 17 author per 10,000 4 dialect per 10,000 broon 17 author per 10,000 2 dialect per 10,000 till 17 author per 10,000 27 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 ould 17 author per 10,000 0 dialect per 10,000 haun 17 author per 10,000 1 dialect per 10,000 sterts 17 author per 10,000 0 dialect per 10,000 gie 17 author per 10,000 7 dialect per 10,000 sun 17 author per 10,000 2 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 33 dialect per 10,000 leid 17 author per 10,000 1 dialect per 10,000 ain 17 author per 10,000 7 dialect per 10,000 their 17 author per 10,000 19 dialect per 10,000 if 17 author per 10,000 16 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 50 dialect per 10,000 get 17 author per 10,000 16 dialect per 10,000 this 17 author per 10,000 19 dialect per 10,000 ca 17 author per 10,000 1 dialect per 10,000 ilk 17 author per 10,000 0 dialect per 10,000 abune 17 author per 10,000 0 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 17 dialect per 10,000 hell 17 author per 10,000 2 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 6 dialect per 10,000 three 17 author per 10,000 6 dialect per 10,000 frae 17 author per 10,000 10 dialect per 10,000 fowk 17 author per 10,000 13 dialect per 10,000 months 17 author per 10,000 1 dialect per 10,000 efter 17 author per 10,000 10 dialect per 10,000 so 17 author per 10,000 17 dialect per 10,000 went 17 author per 10,000 4 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 11 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 5 dialect per 10,000 lane 17 author per 10,000 0 dialect per 10,000 holy 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 42 dialect per 10,000 them 17 author per 10,000 23 dialect per 10,000 is 17 author per 10,000 39 dialect per 10,000 leave 17 author per 10,000 2 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 3 dialect per 10,000 €™ll 17 author per 10,000 4 dialect per 10,000 up 17 author per 10,000 47 dialect per 10,000 - 17 author per 10,000 28 dialect per 10,000 aye 17 author per 10,000 22 dialect per 10,000 ma 17 author per 10,000 50 dialect per 10,000 could 17 author per 10,000 8 dialect per 10,000 tell 17 author per 10,000 9 dialect per 10,000 hiv 17 author per 10,000 9 dialect per 10,000 tellt 17 author per 10,000 2 dialect per 10,000 freend 17 author per 10,000 0 dialect per 10,000 had 17 author per 10,000 4 dialect per 10,000 gin 17 author per 10,000 8 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 2 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 1 dialect per 10,000 serious 8 author per 10,000 0 dialect per 10,000 wurk 8 author per 10,000 0 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 40 dialect per 10,000 erse 8 author per 10,000 1 dialect per 10,000 fella 8 author per 10,000 0 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 1 dialect per 10,000 gey 8 author per 10,000 3 dialect per 10,000 turned 8 author per 10,000 2 dialect per 10,000 prent 8 author per 10,000 0 dialect per 10,000 emma 8 author per 10,000 0 dialect per 10,000 apologies 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 grail 8 author per 10,000 0 dialect per 10,000 home 8 author per 10,000 0 dialect per 10,000 don 8 author per 10,000 0 dialect per 10,000 towards 8 author per 10,000 1 dialect per 10,000 quickest 8 author per 10,000 0 dialect per 10,000 feet 8 author per 10,000 4 dialect per 10,000 prettiest 8 author per 10,000 0 dialect per 10,000 day 8 author per 10,000 26 dialect per 10,000 find 8 author per 10,000 2 dialect per 10,000 fire 8 author per 10,000 3 dialect per 10,000 gettin 8 author per 10,000 4 dialect per 10,000 foyle 8 author per 10,000 0 dialect per 10,000 interest 8 author per 10,000 1 dialect per 10,000 sailed 8 author per 10,000 0 dialect per 10,000 bain 8 author per 10,000 0 dialect per 10,000 stepped 8 author per 10,000 0 dialect per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 0 dialect per 10,000 gone 8 author per 10,000 1 dialect per 10,000 great 8 author per 10,000 5 dialect per 10,000 face 8 author per 10,000 7 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 33 dialect per 10,000 boys 8 author per 10,000 0 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000
Shetland
an 423 author per 10,000 330 dialect per 10,000 the 390 author per 10,000 18 dialect per 10,000 a 357 author per 10,000 280 dialect per 10,000 tae 274 author per 10,000 86 dialect per 10,000 he 232 author per 10,000 103 dialect per 10,000 wis 166 author per 10,000 162 dialect per 10,000 in 133 author per 10,000 105 dialect per 10,000 ye 116 author per 10,000 0 dialect per 10,000 o 108 author per 10,000 177 dialect per 10,000 they 108 author per 10,000 2 dialect per 10,000 it 100 author per 10,000 58 dialect per 10,000 his 100 author per 10,000 52 dialect per 10,000 €“ 100 author per 10,000 2 dialect per 10,000 €™s 83 author per 10,000 15 dialect per 10,000 at 75 author per 10,000 112 dialect per 10,000 as 66 author per 10,000 79 dialect per 10,000 €™d 66 author per 10,000 2 dialect per 10,000 him 66 author per 10,000 47 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 52 dialect per 10,000 be 58 author per 10,000 56 dialect per 10,000 that 58 author per 10,000 4 dialect per 10,000 i 58 author per 10,000 143 dialect per 10,000 back 50 author per 10,000 18 dialect per 10,000 €™ 50 author per 10,000 17 dialect per 10,000 but 50 author per 10,000 29 dialect per 10,000 tung 41 author per 10,000 0 dialect per 10,000 fur 41 author per 10,000 32 dialect per 10,000 we 41 author per 10,000 44 dialect per 10,000 or 41 author per 10,000 32 dialect per 10,000 yer 41 author per 10,000 0 dialect per 10,000 duncan 41 author per 10,000 0 dialect per 10,000 for 41 author per 10,000 35 dialect per 10,000 here 41 author per 10,000 11 dialect per 10,000 auld 41 author per 10,000 1 dialect per 10,000 hud 41 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 11 dialect per 10,000 wee 33 author per 10,000 0 dialect per 10,000 tuik 33 author per 10,000 0 dialect per 10,000 ken 33 author per 10,000 14 dialect per 10,000 thon 33 author per 10,000 0 dialect per 10,000 sea 33 author per 10,000 6 dialect per 10,000 no 33 author per 10,000 35 dialect per 10,000 lang 33 author per 10,000 11 dialect per 10,000 can 33 author per 10,000 20 dialect per 10,000 whit 33 author per 10,000 39 dialect per 10,000 gied 33 author per 10,000 8 dialect per 10,000 wir 33 author per 10,000 50 dialect per 10,000 thir 33 author per 10,000 0 dialect per 10,000 waitin 33 author per 10,000 1 dialect per 10,000 oot 33 author per 10,000 42 dialect per 10,000 road 33 author per 10,000 0 dialect per 10,000 wi 33 author per 10,000 95 dialect per 10,000 weel 33 author per 10,000 18 dialect per 10,000 her 33 author per 10,000 64 dialect per 10,000 year 33 author per 10,000 7 dialect per 10,000 us 33 author per 10,000 0 dialect per 10,000 see 25 author per 10,000 20 dialect per 10,000 aff 25 author per 10,000 18 dialect per 10,000 mither 25 author per 10,000 0 dialect per 10,000 there 25 author per 10,000 1 dialect per 10,000 time 25 author per 10,000 21 dialect per 10,000 €™ve 25 author per 10,000 1 dialect per 10,000 joe 25 author per 10,000 0 dialect per 10,000 again 25 author per 10,000 5 dialect per 10,000 aa 25 author per 10,000 51 dialect per 10,000 been 25 author per 10,000 16 dialect per 10,000 thocht 25 author per 10,000 0 dialect per 10,000 college 25 author per 10,000 0 dialect per 10,000 lik 25 author per 10,000 10 dialect per 10,000 fer 25 author per 10,000 0 dialect per 10,000 scots 25 author per 10,000 5 dialect per 10,000 crossed 25 author per 10,000 0 dialect per 10,000 some 25 author per 10,000 13 dialect per 10,000 hame 25 author per 10,000 7 dialect per 10,000 man 25 author per 10,000 17 dialect per 10,000 then 25 author per 10,000 1 dialect per 10,000 when 25 author per 10,000 5 dialect per 10,000 sayd 25 author per 10,000 0 dialect per 10,000 anither 25 author per 10,000 0 dialect per 10,000 fae 25 author per 10,000 40 dialect per 10,000 gaed 25 author per 10,000 0 dialect per 10,000 wha 25 author per 10,000 5 dialect per 10,000 to 25 author per 10,000 8 dialect per 10,000 place 25 author per 10,000 7 dialect per 10,000 til 25 author per 10,000 2 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 0 dialect per 10,000 me 17 author per 10,000 41 dialect per 10,000 ready 17 author per 10,000 2 dialect per 10,000 guid 17 author per 10,000 12 dialect per 10,000 broon 17 author per 10,000 1 dialect per 10,000 till 17 author per 10,000 7 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 ould 17 author per 10,000 0 dialect per 10,000 haun 17 author per 10,000 0 dialect per 10,000 sterts 17 author per 10,000 0 dialect per 10,000 gie 17 author per 10,000 9 dialect per 10,000 sun 17 author per 10,000 3 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 41 dialect per 10,000 leid 17 author per 10,000 0 dialect per 10,000 ain 17 author per 10,000 7 dialect per 10,000 their 17 author per 10,000 1 dialect per 10,000 if 17 author per 10,000 25 dialect per 10,000 morn 17 author per 10,000 0 dialect per 10,000 nae 17 author per 10,000 23 dialect per 10,000 get 17 author per 10,000 6 dialect per 10,000 this 17 author per 10,000 1 dialect per 10,000 ca 17 author per 10,000 0 dialect per 10,000 ilk 17 author per 10,000 0 dialect per 10,000 abune 17 author per 10,000 0 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 19 dialect per 10,000 hell 17 author per 10,000 0 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 7 dialect per 10,000 three 17 author per 10,000 0 dialect per 10,000 frae 17 author per 10,000 0 dialect per 10,000 fowk 17 author per 10,000 0 dialect per 10,000 months 17 author per 10,000 0 dialect per 10,000 efter 17 author per 10,000 9 dialect per 10,000 so 17 author per 10,000 26 dialect per 10,000 went 17 author per 10,000 0 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 1 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 5 dialect per 10,000 lane 17 author per 10,000 1 dialect per 10,000 holy 17 author per 10,000 2 dialect per 10,000 and 17 author per 10,000 15 dialect per 10,000 them 17 author per 10,000 1 dialect per 10,000 is 17 author per 10,000 81 dialect per 10,000 leave 17 author per 10,000 0 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 2 dialect per 10,000 €™ll 17 author per 10,000 5 dialect per 10,000 up 17 author per 10,000 42 dialect per 10,000 - 17 author per 10,000 53 dialect per 10,000 aye 17 author per 10,000 11 dialect per 10,000 ma 17 author per 10,000 0 dialect per 10,000 could 17 author per 10,000 12 dialect per 10,000 tell 17 author per 10,000 8 dialect per 10,000 hiv 17 author per 10,000 1 dialect per 10,000 tellt 17 author per 10,000 1 dialect per 10,000 freend 17 author per 10,000 2 dialect per 10,000 had 17 author per 10,000 2 dialect per 10,000 gin 17 author per 10,000 0 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 1 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 1 dialect per 10,000 serious 8 author per 10,000 0 dialect per 10,000 wurk 8 author per 10,000 0 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 0 dialect per 10,000 erse 8 author per 10,000 0 dialect per 10,000 fella 8 author per 10,000 0 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 1 dialect per 10,000 gey 8 author per 10,000 0 dialect per 10,000 turned 8 author per 10,000 3 dialect per 10,000 prent 8 author per 10,000 0 dialect per 10,000 emma 8 author per 10,000 0 dialect per 10,000 apologies 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 0 dialect per 10,000 grail 8 author per 10,000 0 dialect per 10,000 home 8 author per 10,000 0 dialect per 10,000 don 8 author per 10,000 1 dialect per 10,000 towards 8 author per 10,000 0 dialect per 10,000 quickest 8 author per 10,000 0 dialect per 10,000 feet 8 author per 10,000 3 dialect per 10,000 prettiest 8 author per 10,000 0 dialect per 10,000 day 8 author per 10,000 18 dialect per 10,000 find 8 author per 10,000 0 dialect per 10,000 fire 8 author per 10,000 2 dialect per 10,000 gettin 8 author per 10,000 2 dialect per 10,000 foyle 8 author per 10,000 0 dialect per 10,000 interest 8 author per 10,000 1 dialect per 10,000 sailed 8 author per 10,000 0 dialect per 10,000 bain 8 author per 10,000 0 dialect per 10,000 stepped 8 author per 10,000 0 dialect per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 1 dialect per 10,000 gone 8 author per 10,000 0 dialect per 10,000 great 8 author per 10,000 1 dialect per 10,000 face 8 author per 10,000 6 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 22 dialect per 10,000 boys 8 author per 10,000 3 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000 		Orkney
an 423 author per 10,000 172 dialect per 10,000 the 390 author per 10,000 582 dialect per 10,000 a 357 author per 10,000 298 dialect per 10,000 tae 274 author per 10,000 223 dialect per 10,000 he 232 author per 10,000 85 dialect per 10,000 wis 166 author per 10,000 80 dialect per 10,000 in 133 author per 10,000 146 dialect per 10,000 ye 116 author per 10,000 17 dialect per 10,000 o 108 author per 10,000 202 dialect per 10,000 they 108 author per 10,000 37 dialect per 10,000 it 100 author per 10,000 23 dialect per 10,000 his 100 author per 10,000 61 dialect per 10,000 €“ 100 author per 10,000 13 dialect per 10,000 €™s 83 author per 10,000 17 dialect per 10,000 at 75 author per 10,000 54 dialect per 10,000 as 66 author per 10,000 48 dialect per 10,000 €™d 66 author per 10,000 2 dialect per 10,000 him 66 author per 10,000 21 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 73 dialect per 10,000 be 58 author per 10,000 42 dialect per 10,000 that 58 author per 10,000 75 dialect per 10,000 i 58 author per 10,000 158 dialect per 10,000 back 50 author per 10,000 26 dialect per 10,000 €™ 50 author per 10,000 13 dialect per 10,000 but 50 author per 10,000 28 dialect per 10,000 tung 41 author per 10,000 0 dialect per 10,000 fur 41 author per 10,000 49 dialect per 10,000 we 41 author per 10,000 29 dialect per 10,000 or 41 author per 10,000 30 dialect per 10,000 yer 41 author per 10,000 7 dialect per 10,000 duncan 41 author per 10,000 0 dialect per 10,000 for 41 author per 10,000 26 dialect per 10,000 here 41 author per 10,000 12 dialect per 10,000 auld 41 author per 10,000 1 dialect per 10,000 hud 41 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 wee 33 author per 10,000 1 dialect per 10,000 tuik 33 author per 10,000 0 dialect per 10,000 ken 33 author per 10,000 15 dialect per 10,000 thon 33 author per 10,000 0 dialect per 10,000 sea 33 author per 10,000 8 dialect per 10,000 no 33 author per 10,000 58 dialect per 10,000 lang 33 author per 10,000 1 dialect per 10,000 can 33 author per 10,000 13 dialect per 10,000 whit 33 author per 10,000 29 dialect per 10,000 gied 33 author per 10,000 2 dialect per 10,000 wir 33 author per 10,000 27 dialect per 10,000 thir 33 author per 10,000 30 dialect per 10,000 waitin 33 author per 10,000 0 dialect per 10,000 oot 33 author per 10,000 50 dialect per 10,000 road 33 author per 10,000 5 dialect per 10,000 wi 33 author per 10,000 46 dialect per 10,000 weel 33 author per 10,000 17 dialect per 10,000 her 33 author per 10,000 49 dialect per 10,000 year 33 author per 10,000 7 dialect per 10,000 us 33 author per 10,000 6 dialect per 10,000 see 25 author per 10,000 17 dialect per 10,000 aff 25 author per 10,000 8 dialect per 10,000 mither 25 author per 10,000 5 dialect per 10,000 there 25 author per 10,000 18 dialect per 10,000 time 25 author per 10,000 18 dialect per 10,000 €™ve 25 author per 10,000 1 dialect per 10,000 joe 25 author per 10,000 0 dialect per 10,000 again 25 author per 10,000 12 dialect per 10,000 aa 25 author per 10,000 8 dialect per 10,000 been 25 author per 10,000 18 dialect per 10,000 thocht 25 author per 10,000 0 dialect per 10,000 college 25 author per 10,000 1 dialect per 10,000 lik 25 author per 10,000 0 dialect per 10,000 fer 25 author per 10,000 11 dialect per 10,000 scots 25 author per 10,000 6 dialect per 10,000 crossed 25 author per 10,000 0 dialect per 10,000 some 25 author per 10,000 17 dialect per 10,000 hame 25 author per 10,000 1 dialect per 10,000 man 25 author per 10,000 12 dialect per 10,000 then 25 author per 10,000 18 dialect per 10,000 when 25 author per 10,000 23 dialect per 10,000 sayd 25 author per 10,000 0 dialect per 10,000 anither 25 author per 10,000 8 dialect per 10,000 fae 25 author per 10,000 39 dialect per 10,000 gaed 25 author per 10,000 9 dialect per 10,000 wha 25 author per 10,000 4 dialect per 10,000 to 25 author per 10,000 8 dialect per 10,000 place 25 author per 10,000 4 dialect per 10,000 til 25 author per 10,000 1 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 0 dialect per 10,000 me 17 author per 10,000 115 dialect per 10,000 ready 17 author per 10,000 2 dialect per 10,000 guid 17 author per 10,000 2 dialect per 10,000 broon 17 author per 10,000 2 dialect per 10,000 till 17 author per 10,000 8 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 ould 17 author per 10,000 2 dialect per 10,000 haun 17 author per 10,000 0 dialect per 10,000 sterts 17 author per 10,000 0 dialect per 10,000 gie 17 author per 10,000 2 dialect per 10,000 sun 17 author per 10,000 3 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 26 dialect per 10,000 leid 17 author per 10,000 3 dialect per 10,000 ain 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 8 dialect per 10,000 if 17 author per 10,000 15 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 3 dialect per 10,000 get 17 author per 10,000 9 dialect per 10,000 this 17 author per 10,000 34 dialect per 10,000 ca 17 author per 10,000 0 dialect per 10,000 ilk 17 author per 10,000 0 dialect per 10,000 abune 17 author per 10,000 1 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 1 dialect per 10,000 hell 17 author per 10,000 1 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 7 dialect per 10,000 three 17 author per 10,000 4 dialect per 10,000 frae 17 author per 10,000 0 dialect per 10,000 fowk 17 author per 10,000 0 dialect per 10,000 months 17 author per 10,000 1 dialect per 10,000 efter 17 author per 10,000 6 dialect per 10,000 so 17 author per 10,000 30 dialect per 10,000 went 17 author per 10,000 1 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 0 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 6 dialect per 10,000 lane 17 author per 10,000 0 dialect per 10,000 holy 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 199 dialect per 10,000 them 17 author per 10,000 18 dialect per 10,000 is 17 author per 10,000 71 dialect per 10,000 leave 17 author per 10,000 1 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 1 dialect per 10,000 €™ll 17 author per 10,000 2 dialect per 10,000 up 17 author per 10,000 34 dialect per 10,000 - 17 author per 10,000 76 dialect per 10,000 aye 17 author per 10,000 9 dialect per 10,000 ma 17 author per 10,000 1 dialect per 10,000 could 17 author per 10,000 13 dialect per 10,000 tell 17 author per 10,000 6 dialect per 10,000 hiv 17 author per 10,000 13 dialect per 10,000 tellt 17 author per 10,000 1 dialect per 10,000 freend 17 author per 10,000 1 dialect per 10,000 had 17 author per 10,000 3 dialect per 10,000 gin 17 author per 10,000 1 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 1 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 1 dialect per 10,000 serious 8 author per 10,000 0 dialect per 10,000 wurk 8 author per 10,000 0 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 2 dialect per 10,000 erse 8 author per 10,000 1 dialect per 10,000 fella 8 author per 10,000 0 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 2 dialect per 10,000 gey 8 author per 10,000 3 dialect 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per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 2 dialect per 10,000 gone 8 author per 10,000 1 dialect per 10,000 great 8 author per 10,000 4 dialect per 10,000 face 8 author per 10,000 7 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 28 dialect per 10,000 boys 8 author per 10,000 2 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000
Southern
an 423 author per 10,000 289 dialect per 10,000 the 390 author per 10,000 449 dialect per 10,000 a 357 author per 10,000 230 dialect per 10,000 tae 274 author per 10,000 206 dialect per 10,000 he 232 author per 10,000 12 dialect per 10,000 wis 166 author per 10,000 54 dialect per 10,000 in 133 author per 10,000 107 dialect per 10,000 ye 116 author per 10,000 21 dialect per 10,000 o 108 author per 10,000 200 dialect per 10,000 they 108 author per 10,000 31 dialect per 10,000 it 100 author per 10,000 63 dialect per 10,000 his 100 author per 10,000 37 dialect per 10,000 €“ 100 author per 10,000 5 dialect per 10,000 €™s 83 author per 10,000 34 dialect per 10,000 at 75 author per 10,000 69 dialect per 10,000 as 66 author per 10,000 50 dialect per 10,000 €™d 66 author per 10,000 7 dialect per 10,000 him 66 author per 10,000 11 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 55 dialect per 10,000 be 58 author per 10,000 13 dialect per 10,000 that 58 author per 10,000 65 dialect per 10,000 i 58 author per 10,000 74 dialect per 10,000 back 50 author per 10,000 19 dialect per 10,000 €™ 50 author per 10,000 14 dialect per 10,000 but 50 author per 10,000 42 dialect per 10,000 tung 41 author per 10,000 3 dialect per 10,000 fur 41 author per 10,000 42 dialect per 10,000 we 41 author per 10,000 10 dialect per 10,000 or 41 author per 10,000 22 dialect per 10,000 yer 41 author per 10,000 17 dialect per 10,000 duncan 41 author per 10,000 0 dialect per 10,000 for 41 author per 10,000 22 dialect per 10,000 here 41 author per 10,000 13 dialect per 10,000 auld 41 author per 10,000 22 dialect per 10,000 hud 41 author per 10,000 2 dialect per 10,000 say 33 author per 10,000 17 dialect per 10,000 wee 33 author per 10,000 23 dialect per 10,000 tuik 33 author per 10,000 2 dialect per 10,000 ken 33 author per 10,000 17 dialect per 10,000 thon 33 author per 10,000 4 dialect per 10,000 sea 33 author per 10,000 3 dialect per 10,000 no 33 author per 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dialect per 10,000 again 25 author per 10,000 2 dialect per 10,000 aa 25 author per 10,000 10 dialect per 10,000 been 25 author per 10,000 10 dialect per 10,000 thocht 25 author per 10,000 13 dialect per 10,000 college 25 author per 10,000 0 dialect per 10,000 lik 25 author per 10,000 16 dialect per 10,000 fer 25 author per 10,000 2 dialect per 10,000 scots 25 author per 10,000 7 dialect per 10,000 crossed 25 author per 10,000 1 dialect per 10,000 some 25 author per 10,000 12 dialect per 10,000 hame 25 author per 10,000 8 dialect per 10,000 man 25 author per 10,000 7 dialect per 10,000 then 25 author per 10,000 17 dialect per 10,000 when 25 author per 10,000 16 dialect per 10,000 sayd 25 author per 10,000 0 dialect per 10,000 anither 25 author per 10,000 7 dialect per 10,000 fae 25 author per 10,000 0 dialect per 10,000 gaed 25 author per 10,000 7 dialect per 10,000 wha 25 author per 10,000 1 dialect per 10,000 to 25 author per 10,000 1 dialect per 10,000 place 25 author per 10,000 5 dialect per 10,000 til 25 author per 10,000 28 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 1 dialect per 10,000 me 17 author per 10,000 16 dialect per 10,000 ready 17 author per 10,000 1 dialect per 10,000 guid 17 author per 10,000 14 dialect per 10,000 broon 17 author per 10,000 1 dialect per 10,000 till 17 author per 10,000 4 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 ould 17 author per 10,000 0 dialect per 10,000 haun 17 author per 10,000 4 dialect per 10,000 sterts 17 author per 10,000 1 dialect per 10,000 gie 17 author per 10,000 14 dialect per 10,000 sun 17 author per 10,000 3 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 29 dialect per 10,000 leid 17 author per 10,000 3 dialect per 10,000 ain 17 author per 10,000 9 dialect per 10,000 their 17 author per 10,000 14 dialect per 10,000 if 17 author per 10,000 17 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 25 dialect per 10,000 get 17 author per 10,000 10 dialect per 10,000 this 17 author per 10,000 35 dialect per 10,000 ca 17 author per 10,000 7 dialect per 10,000 ilk 17 author per 10,000 1 dialect per 10,000 abune 17 author per 10,000 0 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 16 dialect per 10,000 hell 17 author per 10,000 1 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 6 dialect per 10,000 three 17 author per 10,000 2 dialect per 10,000 frae 17 author per 10,000 42 dialect per 10,000 fowk 17 author per 10,000 4 dialect per 10,000 months 17 author per 10,000 1 dialect per 10,000 efter 17 author per 10,000 13 dialect per 10,000 so 17 author per 10,000 3 dialect per 10,000 went 17 author per 10,000 13 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 5 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 5 dialect per 10,000 lane 17 author per 10,000 1 dialect per 10,000 holy 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 33 dialect per 10,000 them 17 author per 10,000 5 dialect per 10,000 is 17 author per 10,000 62 dialect per 10,000 leave 17 author per 10,000 1 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 3 dialect per 10,000 €™ll 17 author per 10,000 2 dialect per 10,000 up 17 author per 10,000 41 dialect per 10,000 - 17 author per 10,000 29 dialect per 10,000 aye 17 author per 10,000 11 dialect per 10,000 ma 17 author per 10,000 59 dialect per 10,000 could 17 author per 10,000 13 dialect per 10,000 tell 17 author per 10,000 9 dialect per 10,000 hiv 17 author per 10,000 0 dialect per 10,000 tellt 17 author per 10,000 0 dialect per 10,000 freend 17 author per 10,000 0 dialect per 10,000 had 17 author per 10,000 0 dialect per 10,000 gin 17 author per 10,000 9 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 2 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 2 dialect per 10,000 serious 8 author per 10,000 1 dialect per 10,000 wurk 8 author per 10,000 2 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 75 dialect per 10,000 erse 8 author per 10,000 0 dialect per 10,000 fella 8 author per 10,000 0 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 2 dialect per 10,000 gey 8 author per 10,000 7 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dialect per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 0 dialect per 10,000 gone 8 author per 10,000 1 dialect per 10,000 great 8 author per 10,000 1 dialect per 10,000 face 8 author per 10,000 5 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 24 dialect per 10,000 boys 8 author per 10,000 0 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000 		Ulster
an 423 author per 10,000 358 dialect per 10,000 the 390 author per 10,000 345 dialect per 10,000 a 357 author per 10,000 287 dialect per 10,000 tae 274 author per 10,000 253 dialect per 10,000 he 232 author per 10,000 62 dialect per 10,000 wis 166 author per 10,000 1 dialect per 10,000 in 133 author per 10,000 121 dialect per 10,000 ye 116 author per 10,000 79 dialect per 10,000 o 108 author per 10,000 208 dialect per 10,000 they 108 author per 10,000 26 dialect per 10,000 it 100 author per 10,000 73 dialect per 10,000 his 100 author per 10,000 25 dialect per 10,000 €“ 100 author per 10,000 0 dialect per 10,000 €™s 83 author per 10,000 11 dialect per 10,000 at 75 author per 10,000 58 dialect per 10,000 as 66 author per 10,000 31 dialect per 10,000 €™d 66 author per 10,000 2 dialect per 10,000 him 66 author per 10,000 11 dialect per 10,000 donnie 66 author per 10,000 0 dialect per 10,000 on 58 author per 10,000 57 dialect per 10,000 be 58 author per 10,000 39 dialect per 10,000 that 58 author per 10,000 71 dialect per 10,000 i 58 author per 10,000 16 dialect per 10,000 back 50 author per 10,000 2 dialect per 10,000 €™ 50 author per 10,000 18 dialect per 10,000 but 50 author per 10,000 41 dialect per 10,000 tung 41 author per 10,000 0 dialect per 10,000 fur 41 author per 10,000 48 dialect per 10,000 we 41 author per 10,000 18 dialect per 10,000 or 41 author per 10,000 33 dialect per 10,000 yer 41 author per 10,000 37 dialect per 10,000 duncan 41 author per 10,000 0 dialect per 10,000 for 41 author per 10,000 30 dialect per 10,000 here 41 author per 10,000 10 dialect per 10,000 auld 41 author per 10,000 1 dialect per 10,000 hud 41 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 wee 33 author per 10,000 27 dialect per 10,000 tuik 33 author per 10,000 0 dialect per 10,000 ken 33 author per 10,000 3 dialect per 10,000 thon 33 author per 10,000 27 dialect per 10,000 sea 33 author per 10,000 2 dialect per 10,000 no 33 author per 10,000 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per 10,000 til 25 author per 10,000 16 dialect per 10,000 derry 17 author per 10,000 0 dialect per 10,000 buke 17 author per 10,000 0 dialect per 10,000 drinkin 17 author per 10,000 1 dialect per 10,000 me 17 author per 10,000 24 dialect per 10,000 ready 17 author per 10,000 1 dialect per 10,000 guid 17 author per 10,000 17 dialect per 10,000 broon 17 author per 10,000 1 dialect per 10,000 till 17 author per 10,000 1 dialect per 10,000 €™re 17 author per 10,000 1 dialect per 10,000 ould 17 author per 10,000 0 dialect per 10,000 haun 17 author per 10,000 2 dialect per 10,000 sterts 17 author per 10,000 0 dialect per 10,000 gie 17 author per 10,000 16 dialect per 10,000 sun 17 author per 10,000 1 dialect per 10,000 ballad 17 author per 10,000 0 dialect per 10,000 fairmhoose 17 author per 10,000 0 dialect per 10,000 lili 17 author per 10,000 0 dialect per 10,000 morningside 17 author per 10,000 0 dialect per 10,000 haly 17 author per 10,000 0 dialect per 10,000 aboot 17 author per 10,000 27 dialect per 10,000 leid 17 author per 10,000 20 dialect per 10,000 ain 17 author per 10,000 14 dialect per 10,000 their 17 author per 10,000 5 dialect per 10,000 if 17 author per 10,000 14 dialect per 10,000 morn 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 22 dialect per 10,000 get 17 author per 10,000 9 dialect per 10,000 this 17 author per 10,000 27 dialect per 10,000 ca 17 author per 10,000 0 dialect per 10,000 ilk 17 author per 10,000 0 dialect per 10,000 abune 17 author per 10,000 0 dialect per 10,000 wine 17 author per 10,000 1 dialect per 10,000 mair 17 author per 10,000 27 dialect per 10,000 hell 17 author per 10,000 1 dialect per 10,000 €˜sure 17 author per 10,000 0 dialect per 10,000 life 17 author per 10,000 5 dialect per 10,000 three 17 author per 10,000 3 dialect per 10,000 frae 17 author per 10,000 36 dialect per 10,000 fowk 17 author per 10,000 21 dialect per 10,000 months 17 author per 10,000 0 dialect per 10,000 efter 17 author per 10,000 6 dialect per 10,000 so 17 author per 10,000 5 dialect per 10,000 went 17 author per 10,000 12 dialect per 10,000 conseether 17 author per 10,000 0 dialect per 10,000 syne 17 author per 10,000 1 dialect per 10,000 pilgrim 17 author per 10,000 0 dialect per 10,000 left 17 author per 10,000 4 dialect per 10,000 lane 17 author per 10,000 2 dialect per 10,000 holy 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 10 dialect per 10,000 them 17 author per 10,000 8 dialect per 10,000 is 17 author per 10,000 18 dialect per 10,000 leave 17 author per 10,000 0 dialect per 10,000 sune 17 author per 10,000 0 dialect per 10,000 please 17 author per 10,000 1 dialect per 10,000 €™ll 17 author per 10,000 4 dialect per 10,000 up 17 author per 10,000 32 dialect per 10,000 - 17 author per 10,000 25 dialect per 10,000 aye 17 author per 10,000 13 dialect per 10,000 ma 17 author per 10,000 23 dialect per 10,000 could 17 author per 10,000 1 dialect per 10,000 tell 17 author per 10,000 10 dialect per 10,000 hiv 17 author per 10,000 0 dialect per 10,000 tellt 17 author per 10,000 0 dialect per 10,000 freend 17 author per 10,000 0 dialect per 10,000 had 17 author per 10,000 22 dialect per 10,000 gin 17 author per 10,000 5 dialect per 10,000 motives 8 author per 10,000 0 dialect per 10,000 belang 8 author per 10,000 0 dialect per 10,000 tale 8 author per 10,000 0 dialect per 10,000 mostest 8 author per 10,000 0 dialect per 10,000 fact 8 author per 10,000 0 dialect per 10,000 serious 8 author per 10,000 0 dialect per 10,000 wurk 8 author per 10,000 0 dialect per 10,000 intact 8 author per 10,000 0 dialect per 10,000 ah 8 author per 10,000 11 dialect per 10,000 erse 8 author per 10,000 0 dialect per 10,000 fella 8 author per 10,000 1 dialect per 10,000 lazarus 8 author per 10,000 0 dialect per 10,000 anyone 8 author per 10,000 0 dialect per 10,000 scrieves 8 author per 10,000 0 dialect per 10,000 few 8 author per 10,000 0 dialect per 10,000 gey 8 author per 10,000 0 dialect per 10,000 turned 8 author per 10,000 1 dialect per 10,000 prent 8 author per 10,000 0 dialect per 10,000 emma 8 author per 10,000 0 dialect per 10,000 apologies 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 grail 8 author per 10,000 0 dialect per 10,000 home 8 author per 10,000 0 dialect per 10,000 don 8 author per 10,000 0 dialect per 10,000 towards 8 author per 10,000 0 dialect per 10,000 quickest 8 author per 10,000 0 dialect per 10,000 feet 8 author per 10,000 4 dialect per 10,000 prettiest 8 author per 10,000 0 dialect per 10,000 day 8 author per 10,000 15 dialect per 10,000 find 8 author per 10,000 1 dialect per 10,000 fire 8 author per 10,000 4 dialect per 10,000 gettin 8 author per 10,000 2 dialect per 10,000 foyle 8 author per 10,000 0 dialect per 10,000 interest 8 author per 10,000 0 dialect per 10,000 sailed 8 author per 10,000 0 dialect per 10,000 bain 8 author per 10,000 0 dialect per 10,000 stepped 8 author per 10,000 0 dialect per 10,000 brine 8 author per 10,000 0 dialect per 10,000 single 8 author per 10,000 0 dialect per 10,000 gone 8 author per 10,000 1 dialect per 10,000 great 8 author per 10,000 1 dialect per 10,000 face 8 author per 10,000 4 dialect per 10,000 gals 8 author per 10,000 0 dialect per 10,000 bluid-red 8 author per 10,000 0 dialect per 10,000 doon 8 author per 10,000 28 dialect per 10,000 boys 8 author per 10,000 3 dialect per 10,000 emdy 8 author per 10,000 0 dialect per 10,000