A Corpus of 21st Century Scots Texts

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King, Angeline


Total words by this author in corpus - 21,695
Total unique words used by this author in corpus - 3,934
Ratio of total words to unique words - 5.515
Top ten most common words - the, an, a, o, tae, she, hir, in, was, on,

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 677 author per 10,000 565 dialect per 10,000 an 335 author per 10,000 225 dialect per 10,000 a 259 author per 10,000 266 dialect per 10,000 o 230 author per 10,000 185 dialect per 10,000 tae 214 author per 10,000 211 dialect per 10,000 she 190 author per 10,000 56 dialect per 10,000 hir 153 author per 10,000 2 dialect per 10,000 in 152 author per 10,000 147 dialect per 10,000 was 145 author per 10,000 7 dialect per 10,000 on 103 author per 10,000 55 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 62 dialect per 10,000 wi 88 author per 10,000 67 dialect per 10,000 his 78 author per 10,000 59 dialect per 10,000 had 77 author per 10,000 22 dialect per 10,000 it 76 author per 10,000 116 dialect per 10,000 ma 71 author per 10,000 51 dialect per 10,000 i 69 author per 10,000 39 dialect per 10,000 that 67 author per 10,000 106 dialect per 10,000 at 67 author per 10,000 59 dialect per 10,000 as 61 author per 10,000 59 dialect per 10,000 ah 57 author per 10,000 73 dialect per 10,000 said 57 author per 10,000 40 dialect per 10,000 he 57 author per 10,000 87 dialect per 10,000 frae 54 author per 10,000 16 dialect per 10,000 fur 53 author per 10,000 23 dialect per 10,000 up 50 author per 10,000 40 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 39 dialect per 10,000 be 36 author per 10,000 48 dialect per 10,000 but 34 author per 10,000 48 dialect per 10,000 there 33 author per 10,000 23 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 46 dialect per 10,000 wud 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 36 dialect per 10,000 what 30 author per 10,000 4 dialect per 10,000 oot 30 author per 10,000 40 dialect per 10,000 ower 29 author per 10,000 19 dialect per 10,000 me 28 author per 10,000 40 dialect per 10,000 bak 28 author per 10,000 0 dialect per 10,000 bae 28 author per 10,000 0 dialect per 10,000 them 27 author per 10,000 18 dialect per 10,000 €™s 26 author per 10,000 32 dialect per 10,000 aboot 25 author per 10,000 29 dialect per 10,000 jenny 25 author per 10,000 0 dialect per 10,000 doon 24 author per 10,000 18 dialect per 10,000 hae 24 author per 10,000 23 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 whan 24 author per 10,000 11 dialect per 10,000 they 24 author per 10,000 41 dialect per 10,000 him 23 author per 10,000 29 dialect per 10,000 een 23 author per 10,000 5 dialect per 10,000 saed 23 author per 10,000 0 dialect per 10,000 yer 22 author per 10,000 21 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 2 dialect per 10,000 ' 22 author per 10,000 53 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 10 dialect per 10,000 wean 21 author per 10,000 1 dialect per 10,000 know 21 author per 10,000 4 dialect per 10,000 is 21 author per 10,000 58 dialect per 10,000 did 20 author per 10,000 9 dialect per 10,000 weans 20 author per 10,000 2 dialect per 10,000 throu 20 author per 10,000 5 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 face 18 author per 10,000 5 dialect per 10,000 hoose 18 author per 10,000 7 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 hans 18 author per 10,000 0 dialect per 10,000 aal 18 author per 10,000 0 dialect per 10,000 if 18 author per 10,000 17 dialect per 10,000 we 18 author per 10,000 33 dialect per 10,000 come 18 author per 10,000 9 dialect per 10,000 away 17 author per 10,000 3 dialect per 10,000 gary 17 author per 10,000 0 dialect per 10,000 mine 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 24 dialect per 10,000 bin 17 author per 10,000 1 dialect per 10,000 wur 17 author per 10,000 5 dialect per 10,000 harry 16 author per 10,000 0 dialect per 10,000 guid 16 author per 10,000 11 dialect per 10,000 lik 16 author per 10,000 5 dialect per 10,000 heid 16 author per 10,000 11 dialect per 10,000 thon 16 author per 10,000 7 dialect per 10,000 this 16 author per 10,000 41 dialect per 10,000 lang 16 author per 10,000 10 dialect per 10,000 onlie 15 author per 10,000 0 dialect per 10,000 it's 15 author per 10,000 17 dialect per 10,000 here 15 author per 10,000 12 dialect per 10,000 aye 15 author per 10,000 16 dialect per 10,000 for 15 author per 10,000 48 dialect per 10,000 who 15 author per 10,000 3 dialect per 10,000 mrs 15 author per 10,000 3 dialect per 10,000 dure 15 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 10 dialect per 10,000 dinnae 14 author per 10,000 6 dialect per 10,000 road 14 author per 10,000 4 dialect per 10,000 han 14 author per 10,000 0 dialect per 10,000 again 14 author per 10,000 9 dialect per 10,000 oul 13 author per 10,000 0 dialect per 10,000 day 13 author per 10,000 14 dialect per 10,000 wee 13 author per 10,000 29 dialect per 10,000 i'm 13 author per 10,000 4 dialect per 10,000 efter 13 author per 10,000 10 dialect per 10,000 mornin 13 author per 10,000 3 dialect per 10,000 grace 13 author per 10,000 0 dialect per 10,000 didnae 12 author per 10,000 7 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 teuk 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 17 dialect per 10,000 afore 12 author per 10,000 10 dialect per 10,000 git 12 author per 10,000 4 dialect per 10,000 were 12 author per 10,000 15 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 2 dialect per 10,000 dae 12 author per 10,000 17 dialect per 10,000 hame 11 author per 10,000 6 dialect per 10,000 turnt 11 author per 10,000 2 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 2 dialect per 10,000 tak 11 author per 10,000 8 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 need 11 author per 10,000 5 dialect per 10,000 you 11 author per 10,000 15 dialect per 10,000 aroon 11 author per 10,000 1 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 8 dialect per 10,000 feet 10 author per 10,000 3 dialect per 10,000 nicht 10 author per 10,000 6 dialect per 10,000 twa 10 author per 10,000 10 dialect per 10,000 man 10 author per 10,000 11 dialect per 10,000 watter 10 author per 10,000 3 dialect per 10,000 noo 10 author per 10,000 14 dialect per 10,000 why 10 author per 10,000 2 dialect per 10,000 hair 9 author per 10,000 3 dialect per 10,000 coul 9 author per 10,000 0 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 0 dialect per 10,000 mair 9 author per 10,000 20 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 14 dialect per 10,000 sae 9 author per 10,000 16 dialect per 10,000 iver 9 author per 10,000 1 dialect per 10,000 way 9 author per 10,000 3 dialect per 10,000 - 9 author per 10,000 27 dialect per 10,000 smile 9 author per 10,000 1 dialect per 10,000 hear 9 author per 10,000 4 dialect per 10,000 ruim 9 author per 10,000 0 dialect per 10,000 to 9 author per 10,000 9 dialect per 10,000 first 9 author per 10,000 9 dialect per 10,000 wumman 9 author per 10,000 2 dialect per 10,000 white 9 author per 10,000 3 dialect per 10,000 its 9 author per 10,000 11 dialect per 10,000 gaun 9 author per 10,000 7 dialect per 10,000 side 9 author per 10,000 3 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 waal 8 author per 10,000 0 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 2 dialect per 10,000 sea 8 author per 10,000 2 dialect per 10,000 life 8 author per 10,000 7 dialect per 10,000 airms 8 author per 10,000 1 dialect per 10,000 and 8 author per 10,000 94 dialect per 10,000 bodie 8 author per 10,000 1 dialect per 10,000 king 8 author per 10,000 3 dialect per 10,000 say 8 author per 10,000 10 dialect per 10,000 quare 8 author per 10,000 0 dialect per 10,000 stuid 8 author per 10,000 1 dialect per 10,000 windae 8 author per 10,000 2 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 1 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 licht 8 author per 10,000 3 dialect per 10,000 weel 7 author per 10,000 10 dialect per 10,000 wasnae 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 15 dialect per 10,000 ye're 7 author per 10,000 3 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 0 dialect per 10,000 lifted 7 author per 10,000 0 dialect per 10,000 lir 7 author per 10,000 0 dialect per 10,000 juist 7 author per 10,000 8 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 3 dialect per 10,000 knowed 7 author per 10,000 0 dialect per 10,000 held 7 author per 10,000 1 dialect per 10,000 whaur 7 author per 10,000 10 dialect per 10,000 right 7 author per 10,000 5 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 1 dialect per 10,000 stapt 7 author per 10,000 0 dialect per 10,000 or 7 author per 10,000 29 dialect per 10,000 schuil 7 author per 10,000 2 dialect per 10,000 aff 7 author per 10,000 14 dialect per 10,000 		Doric
the 677 author per 10,000 452 dialect per 10,000 an 335 author per 10,000 306 dialect per 10,000 a 259 author per 10,000 315 dialect per 10,000 o 230 author per 10,000 176 dialect per 10,000 tae 214 author per 10,000 171 dialect per 10,000 she 190 author per 10,000 66 dialect per 10,000 hir 153 author per 10,000 0 dialect per 10,000 in 152 author per 10,000 130 dialect per 10,000 was 145 author per 10,000 10 dialect per 10,000 on 103 author per 10,000 67 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 93 dialect per 10,000 wi 88 author per 10,000 77 dialect per 10,000 his 78 author per 10,000 69 dialect per 10,000 had 77 author per 10,000 4 dialect per 10,000 it 76 author per 10,000 99 dialect per 10,000 ma 71 author per 10,000 50 dialect per 10,000 i 69 author per 10,000 68 dialect per 10,000 that 67 author per 10,000 53 dialect per 10,000 at 67 author per 10,000 68 dialect per 10,000 as 61 author per 10,000 52 dialect per 10,000 ah 57 author per 10,000 41 dialect per 10,000 said 57 author per 10,000 36 dialect per 10,000 he 57 author per 10,000 96 dialect per 10,000 frae 54 author per 10,000 10 dialect per 10,000 fur 53 author per 10,000 18 dialect per 10,000 up 50 author per 10,000 47 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 10 dialect per 10,000 be 36 author per 10,000 45 dialect per 10,000 but 34 author per 10,000 25 dialect per 10,000 there 33 author per 10,000 22 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 64 dialect per 10,000 wud 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 7 dialect per 10,000 what 30 author per 10,000 3 dialect per 10,000 oot 30 author per 10,000 50 dialect per 10,000 ower 29 author per 10,000 30 dialect per 10,000 me 28 author per 10,000 32 dialect per 10,000 bak 28 author per 10,000 0 dialect per 10,000 bae 28 author per 10,000 0 dialect per 10,000 them 27 author per 10,000 23 dialect per 10,000 €™s 26 author per 10,000 21 dialect per 10,000 aboot 25 author per 10,000 33 dialect per 10,000 jenny 25 author per 10,000 1 dialect per 10,000 doon 24 author per 10,000 33 dialect per 10,000 hae 24 author per 10,000 20 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 whan 24 author per 10,000 1 dialect per 10,000 they 24 author per 10,000 36 dialect per 10,000 him 23 author per 10,000 30 dialect per 10,000 een 23 author per 10,000 19 dialect per 10,000 saed 23 author per 10,000 0 dialect per 10,000 yer 22 author per 10,000 35 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 5 dialect per 10,000 ' 22 author per 10,000 22 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 2 dialect per 10,000 wean 21 author per 10,000 0 dialect per 10,000 know 21 author per 10,000 0 dialect per 10,000 is 21 author per 10,000 39 dialect per 10,000 did 20 author per 10,000 10 dialect per 10,000 weans 20 author per 10,000 0 dialect per 10,000 throu 20 author per 10,000 1 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 19 dialect per 10,000 face 18 author per 10,000 7 dialect per 10,000 hoose 18 author per 10,000 10 dialect per 10,000 see 18 author per 10,000 21 dialect per 10,000 hans 18 author per 10,000 2 dialect per 10,000 aal 18 author per 10,000 3 dialect per 10,000 if 18 author per 10,000 16 dialect per 10,000 we 18 author per 10,000 33 dialect per 10,000 come 18 author per 10,000 13 dialect per 10,000 away 17 author per 10,000 0 dialect per 10,000 gary 17 author per 10,000 0 dialect per 10,000 mine 17 author per 10,000 2 dialect per 10,000 nae 17 author per 10,000 50 dialect per 10,000 bin 17 author per 10,000 8 dialect per 10,000 wur 17 author per 10,000 1 dialect per 10,000 harry 16 author per 10,000 1 dialect per 10,000 guid 16 author per 10,000 4 dialect per 10,000 lik 16 author per 10,000 4 dialect per 10,000 heid 16 author per 10,000 12 dialect per 10,000 thon 16 author per 10,000 3 dialect per 10,000 this 16 author per 10,000 19 dialect per 10,000 lang 16 author per 10,000 13 dialect per 10,000 onlie 15 author per 10,000 0 dialect per 10,000 it's 15 author per 10,000 19 dialect per 10,000 here 15 author per 10,000 11 dialect per 10,000 aye 15 author per 10,000 22 dialect per 10,000 for 15 author per 10,000 45 dialect per 10,000 who 15 author per 10,000 1 dialect per 10,000 mrs 15 author per 10,000 2 dialect per 10,000 dure 15 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 dinnae 14 author per 10,000 1 dialect per 10,000 road 14 author per 10,000 4 dialect per 10,000 han 14 author per 10,000 4 dialect per 10,000 again 14 author per 10,000 10 dialect per 10,000 oul 13 author per 10,000 0 dialect per 10,000 day 13 author per 10,000 26 dialect per 10,000 wee 13 author per 10,000 18 dialect per 10,000 i'm 13 author per 10,000 8 dialect per 10,000 efter 13 author per 10,000 10 dialect per 10,000 mornin 13 author per 10,000 6 dialect per 10,000 grace 13 author per 10,000 0 dialect per 10,000 didnae 12 author per 10,000 2 dialect per 10,000 niver 12 author per 10,000 4 dialect per 10,000 teuk 12 author per 10,000 1 dialect per 10,000 are 12 author per 10,000 13 dialect per 10,000 afore 12 author per 10,000 14 dialect per 10,000 git 12 author per 10,000 3 dialect per 10,000 were 12 author per 10,000 13 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 2 dialect per 10,000 dae 12 author per 10,000 5 dialect per 10,000 hame 11 author per 10,000 11 dialect per 10,000 turnt 11 author per 10,000 2 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 11 dialect per 10,000 leuk 11 author per 10,000 2 dialect per 10,000 need 11 author per 10,000 5 dialect per 10,000 you 11 author per 10,000 17 dialect per 10,000 aroon 11 author per 10,000 4 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 9 dialect per 10,000 feet 10 author per 10,000 4 dialect per 10,000 nicht 10 author per 10,000 12 dialect per 10,000 twa 10 author per 10,000 18 dialect per 10,000 man 10 author per 10,000 7 dialect per 10,000 watter 10 author per 10,000 3 dialect per 10,000 noo 10 author per 10,000 23 dialect per 10,000 why 10 author per 10,000 1 dialect per 10,000 hair 9 author per 10,000 3 dialect per 10,000 coul 9 author per 10,000 0 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 0 dialect per 10,000 mair 9 author per 10,000 17 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 12 dialect per 10,000 sae 9 author per 10,000 14 dialect per 10,000 iver 9 author per 10,000 2 dialect per 10,000 way 9 author per 10,000 1 dialect per 10,000 - 9 author per 10,000 28 dialect per 10,000 smile 9 author per 10,000 2 dialect per 10,000 hear 9 author per 10,000 4 dialect per 10,000 ruim 9 author per 10,000 0 dialect per 10,000 to 9 author per 10,000 8 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 wumman 9 author per 10,000 1 dialect per 10,000 white 9 author per 10,000 1 dialect per 10,000 its 9 author per 10,000 8 dialect per 10,000 gaun 9 author per 10,000 5 dialect per 10,000 side 9 author per 10,000 5 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 waal 8 author per 10,000 0 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 1 dialect per 10,000 sea 8 author per 10,000 4 dialect per 10,000 life 8 author per 10,000 6 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 and 8 author per 10,000 41 dialect per 10,000 bodie 8 author per 10,000 1 dialect per 10,000 king 8 author per 10,000 2 dialect per 10,000 say 8 author per 10,000 14 dialect per 10,000 quare 8 author per 10,000 0 dialect per 10,000 stuid 8 author per 10,000 0 dialect per 10,000 windae 8 author per 10,000 2 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 2 dialect per 10,000 then 8 author per 10,000 9 dialect per 10,000 licht 8 author per 10,000 4 dialect per 10,000 weel 7 author per 10,000 19 dialect per 10,000 wasnae 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 ye're 7 author per 10,000 6 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 0 dialect per 10,000 lifted 7 author per 10,000 0 dialect per 10,000 lir 7 author per 10,000 0 dialect per 10,000 juist 7 author per 10,000 1 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 2 dialect per 10,000 knowed 7 author per 10,000 0 dialect per 10,000 held 7 author per 10,000 3 dialect per 10,000 whaur 7 author per 10,000 1 dialect per 10,000 right 7 author per 10,000 1 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 0 dialect per 10,000 stapt 7 author per 10,000 0 dialect per 10,000 or 7 author per 10,000 26 dialect per 10,000 schuil 7 author per 10,000 0 dialect per 10,000 aff 7 author per 10,000 14 dialect per 10,000
Shetland
the 677 author per 10,000 18 dialect per 10,000 an 335 author per 10,000 330 dialect per 10,000 a 259 author per 10,000 280 dialect per 10,000 o 230 author per 10,000 177 dialect per 10,000 tae 214 author per 10,000 86 dialect per 10,000 she 190 author per 10,000 7 dialect per 10,000 hir 153 author per 10,000 0 dialect per 10,000 in 152 author per 10,000 105 dialect per 10,000 was 145 author per 10,000 3 dialect per 10,000 on 103 author per 10,000 52 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 0 dialect per 10,000 wi 88 author per 10,000 95 dialect per 10,000 his 78 author per 10,000 52 dialect per 10,000 had 77 author per 10,000 2 dialect per 10,000 it 76 author per 10,000 58 dialect per 10,000 ma 71 author per 10,000 0 dialect per 10,000 i 69 author per 10,000 143 dialect per 10,000 that 67 author per 10,000 4 dialect per 10,000 at 67 author per 10,000 112 dialect per 10,000 as 61 author per 10,000 79 dialect per 10,000 ah 57 author per 10,000 0 dialect per 10,000 said 57 author per 10,000 61 dialect per 10,000 he 57 author per 10,000 103 dialect per 10,000 frae 54 author per 10,000 0 dialect per 10,000 fur 53 author per 10,000 32 dialect per 10,000 up 50 author per 10,000 42 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 17 dialect per 10,000 be 36 author per 10,000 56 dialect per 10,000 but 34 author per 10,000 29 dialect per 10,000 there 33 author per 10,000 1 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 64 dialect per 10,000 wud 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 35 dialect per 10,000 what 30 author per 10,000 8 dialect per 10,000 oot 30 author per 10,000 42 dialect per 10,000 ower 29 author per 10,000 24 dialect per 10,000 me 28 author per 10,000 41 dialect per 10,000 bak 28 author per 10,000 0 dialect per 10,000 bae 28 author per 10,000 0 dialect per 10,000 them 27 author per 10,000 1 dialect per 10,000 €™s 26 author per 10,000 15 dialect per 10,000 aboot 25 author per 10,000 41 dialect per 10,000 jenny 25 author per 10,000 0 dialect per 10,000 doon 24 author per 10,000 22 dialect per 10,000 hae 24 author per 10,000 25 dialect per 10,000 intae 24 author per 10,000 8 dialect per 10,000 whan 24 author per 10,000 7 dialect per 10,000 they 24 author per 10,000 2 dialect per 10,000 him 23 author per 10,000 47 dialect per 10,000 een 23 author per 10,000 20 dialect per 10,000 saed 23 author per 10,000 0 dialect per 10,000 yer 22 author per 10,000 0 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 0 dialect per 10,000 ' 22 author per 10,000 23 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 0 dialect per 10,000 wean 21 author per 10,000 0 dialect per 10,000 know 21 author per 10,000 1 dialect per 10,000 is 21 author per 10,000 81 dialect per 10,000 did 20 author per 10,000 9 dialect per 10,000 weans 20 author per 10,000 0 dialect per 10,000 throu 20 author per 10,000 0 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 21 dialect per 10,000 face 18 author per 10,000 6 dialect per 10,000 hoose 18 author per 10,000 8 dialect per 10,000 see 18 author per 10,000 20 dialect per 10,000 hans 18 author per 10,000 0 dialect per 10,000 aal 18 author per 10,000 0 dialect per 10,000 if 18 author per 10,000 25 dialect per 10,000 we 18 author per 10,000 44 dialect per 10,000 come 18 author per 10,000 19 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 gary 17 author per 10,000 0 dialect per 10,000 mine 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 23 dialect per 10,000 bin 17 author per 10,000 0 dialect per 10,000 wur 17 author per 10,000 0 dialect per 10,000 harry 16 author per 10,000 1 dialect per 10,000 guid 16 author per 10,000 12 dialect per 10,000 lik 16 author per 10,000 10 dialect per 10,000 heid 16 author per 10,000 2 dialect per 10,000 thon 16 author per 10,000 0 dialect per 10,000 this 16 author per 10,000 1 dialect per 10,000 lang 16 author per 10,000 11 dialect per 10,000 onlie 15 author per 10,000 0 dialect per 10,000 it's 15 author per 10,000 8 dialect per 10,000 here 15 author per 10,000 11 dialect per 10,000 aye 15 author per 10,000 11 dialect per 10,000 for 15 author per 10,000 35 dialect per 10,000 who 15 author per 10,000 1 dialect per 10,000 mrs 15 author per 10,000 0 dialect per 10,000 dure 15 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 dinnae 14 author per 10,000 0 dialect per 10,000 road 14 author per 10,000 0 dialect per 10,000 han 14 author per 10,000 0 dialect per 10,000 again 14 author per 10,000 5 dialect per 10,000 oul 13 author per 10,000 0 dialect per 10,000 day 13 author per 10,000 18 dialect per 10,000 wee 13 author per 10,000 0 dialect per 10,000 i'm 13 author per 10,000 2 dialect per 10,000 efter 13 author per 10,000 9 dialect per 10,000 mornin 13 author per 10,000 0 dialect per 10,000 grace 13 author per 10,000 0 dialect per 10,000 didnae 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 teuk 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 2 dialect per 10,000 afore 12 author per 10,000 15 dialect per 10,000 git 12 author per 10,000 4 dialect per 10,000 were 12 author per 10,000 3 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 4 dialect per 10,000 dae 12 author per 10,000 2 dialect per 10,000 hame 11 author per 10,000 7 dialect per 10,000 turnt 11 author per 10,000 0 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 5 dialect per 10,000 tak 11 author per 10,000 12 dialect per 10,000 leuk 11 author per 10,000 0 dialect per 10,000 need 11 author per 10,000 3 dialect per 10,000 you 11 author per 10,000 51 dialect per 10,000 aroon 11 author per 10,000 1 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 8 dialect per 10,000 feet 10 author per 10,000 3 dialect per 10,000 nicht 10 author per 10,000 3 dialect per 10,000 twa 10 author per 10,000 13 dialect per 10,000 man 10 author per 10,000 17 dialect per 10,000 watter 10 author per 10,000 3 dialect per 10,000 noo 10 author per 10,000 19 dialect per 10,000 why 10 author per 10,000 2 dialect per 10,000 hair 9 author per 10,000 3 dialect per 10,000 coul 9 author per 10,000 0 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 0 dialect per 10,000 mair 9 author per 10,000 19 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 20 dialect per 10,000 sae 9 author per 10,000 8 dialect per 10,000 iver 9 author per 10,000 1 dialect per 10,000 way 9 author per 10,000 0 dialect per 10,000 - 9 author per 10,000 53 dialect per 10,000 smile 9 author per 10,000 1 dialect per 10,000 hear 9 author per 10,000 4 dialect per 10,000 ruim 9 author per 10,000 0 dialect per 10,000 to 9 author per 10,000 8 dialect per 10,000 first 9 author per 10,000 10 dialect per 10,000 wumman 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 5 dialect per 10,000 its 9 author per 10,000 3 dialect per 10,000 gaun 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 4 dialect per 10,000 pit 8 author per 10,000 6 dialect per 10,000 waal 8 author per 10,000 0 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 2 dialect per 10,000 sea 8 author per 10,000 6 dialect per 10,000 life 8 author per 10,000 7 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 and 8 author per 10,000 15 dialect per 10,000 bodie 8 author per 10,000 0 dialect per 10,000 king 8 author per 10,000 2 dialect per 10,000 say 8 author per 10,000 11 dialect per 10,000 quare 8 author per 10,000 0 dialect per 10,000 stuid 8 author per 10,000 0 dialect per 10,000 windae 8 author per 10,000 0 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 1 dialect per 10,000 licht 8 author per 10,000 2 dialect per 10,000 weel 7 author per 10,000 18 dialect per 10,000 wasnae 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 0 dialect per 10,000 ye're 7 author per 10,000 0 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 1 dialect per 10,000 lifted 7 author per 10,000 1 dialect per 10,000 lir 7 author per 10,000 0 dialect per 10,000 juist 7 author per 10,000 8 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 1 dialect per 10,000 knowed 7 author per 10,000 0 dialect per 10,000 held 7 author per 10,000 2 dialect per 10,000 whaur 7 author per 10,000 0 dialect per 10,000 right 7 author per 10,000 5 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 2 dialect per 10,000 stapt 7 author per 10,000 0 dialect per 10,000 or 7 author per 10,000 32 dialect per 10,000 schuil 7 author per 10,000 0 dialect per 10,000 aff 7 author per 10,000 18 dialect per 10,000 		Orkney
the 677 author per 10,000 582 dialect per 10,000 an 335 author per 10,000 172 dialect per 10,000 a 259 author per 10,000 298 dialect per 10,000 o 230 author per 10,000 202 dialect per 10,000 tae 214 author per 10,000 223 dialect per 10,000 she 190 author per 10,000 9 dialect per 10,000 hir 153 author per 10,000 4 dialect per 10,000 in 152 author per 10,000 146 dialect per 10,000 was 145 author per 10,000 2 dialect per 10,000 on 103 author per 10,000 73 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 17 dialect per 10,000 wi 88 author per 10,000 46 dialect per 10,000 his 78 author per 10,000 61 dialect per 10,000 had 77 author per 10,000 3 dialect per 10,000 it 76 author per 10,000 23 dialect per 10,000 ma 71 author per 10,000 1 dialect per 10,000 i 69 author per 10,000 158 dialect per 10,000 that 67 author per 10,000 75 dialect per 10,000 at 67 author per 10,000 54 dialect per 10,000 as 61 author per 10,000 48 dialect per 10,000 ah 57 author per 10,000 2 dialect per 10,000 said 57 author per 10,000 15 dialect per 10,000 he 57 author per 10,000 85 dialect per 10,000 frae 54 author per 10,000 0 dialect per 10,000 fur 53 author per 10,000 49 dialect per 10,000 up 50 author per 10,000 34 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 13 dialect per 10,000 be 36 author per 10,000 42 dialect per 10,000 but 34 author per 10,000 28 dialect per 10,000 there 33 author per 10,000 18 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 49 dialect per 10,000 wud 31 author per 10,000 0 dialect per 10,000 no 31 author per 10,000 58 dialect per 10,000 what 30 author per 10,000 5 dialect per 10,000 oot 30 author per 10,000 50 dialect per 10,000 ower 29 author per 10,000 18 dialect per 10,000 me 28 author per 10,000 115 dialect per 10,000 bak 28 author per 10,000 0 dialect per 10,000 bae 28 author per 10,000 3 dialect per 10,000 them 27 author per 10,000 18 dialect per 10,000 €™s 26 author per 10,000 17 dialect per 10,000 aboot 25 author per 10,000 26 dialect per 10,000 jenny 25 author per 10,000 0 dialect per 10,000 doon 24 author per 10,000 28 dialect per 10,000 hae 24 author per 10,000 11 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 whan 24 author per 10,000 8 dialect per 10,000 they 24 author per 10,000 37 dialect per 10,000 him 23 author per 10,000 21 dialect per 10,000 een 23 author per 10,000 4 dialect per 10,000 saed 23 author per 10,000 0 dialect per 10,000 yer 22 author per 10,000 7 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 0 dialect per 10,000 ' 22 author per 10,000 10 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 2 dialect per 10,000 wean 21 author per 10,000 0 dialect per 10,000 know 21 author per 10,000 1 dialect per 10,000 is 21 author per 10,000 71 dialect per 10,000 did 20 author per 10,000 8 dialect per 10,000 weans 20 author per 10,000 0 dialect per 10,000 throu 20 author per 10,000 0 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 18 dialect per 10,000 face 18 author per 10,000 7 dialect per 10,000 hoose 18 author per 10,000 11 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 hans 18 author per 10,000 1 dialect per 10,000 aal 18 author per 10,000 33 dialect per 10,000 if 18 author per 10,000 15 dialect per 10,000 we 18 author per 10,000 29 dialect per 10,000 come 18 author per 10,000 11 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 gary 17 author per 10,000 0 dialect per 10,000 mine 17 author per 10,000 3 dialect per 10,000 nae 17 author per 10,000 3 dialect per 10,000 bin 17 author per 10,000 0 dialect per 10,000 wur 17 author per 10,000 10 dialect per 10,000 harry 16 author per 10,000 1 dialect per 10,000 guid 16 author per 10,000 2 dialect per 10,000 lik 16 author per 10,000 0 dialect per 10,000 heid 16 author per 10,000 5 dialect per 10,000 thon 16 author per 10,000 0 dialect per 10,000 this 16 author per 10,000 34 dialect per 10,000 lang 16 author per 10,000 1 dialect per 10,000 onlie 15 author per 10,000 0 dialect per 10,000 it's 15 author per 10,000 4 dialect per 10,000 here 15 author per 10,000 12 dialect per 10,000 aye 15 author per 10,000 9 dialect per 10,000 for 15 author per 10,000 26 dialect per 10,000 who 15 author per 10,000 4 dialect per 10,000 mrs 15 author per 10,000 4 dialect per 10,000 dure 15 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 0 dialect per 10,000 dinnae 14 author per 10,000 0 dialect per 10,000 road 14 author per 10,000 5 dialect per 10,000 han 14 author per 10,000 1 dialect per 10,000 again 14 author per 10,000 12 dialect per 10,000 oul 13 author per 10,000 0 dialect per 10,000 day 13 author per 10,000 20 dialect per 10,000 wee 13 author per 10,000 1 dialect per 10,000 i'm 13 author per 10,000 1 dialect per 10,000 efter 13 author per 10,000 6 dialect per 10,000 mornin 13 author per 10,000 0 dialect per 10,000 grace 13 author per 10,000 1 dialect per 10,000 didnae 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 teuk 12 author per 10,000 4 dialect per 10,000 are 12 author per 10,000 14 dialect per 10,000 afore 12 author per 10,000 12 dialect per 10,000 git 12 author per 10,000 5 dialect per 10,000 were 12 author per 10,000 6 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 2 dialect per 10,000 dae 12 author per 10,000 10 dialect per 10,000 hame 11 author per 10,000 1 dialect per 10,000 turnt 11 author per 10,000 0 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 4 dialect per 10,000 tak 11 author per 10,000 12 dialect per 10,000 leuk 11 author per 10,000 2 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 you 11 author per 10,000 35 dialect per 10,000 aroon 11 author per 10,000 2 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 6 dialect per 10,000 feet 10 author per 10,000 5 dialect per 10,000 nicht 10 author per 10,000 0 dialect per 10,000 twa 10 author per 10,000 10 dialect per 10,000 man 10 author per 10,000 12 dialect per 10,000 watter 10 author per 10,000 4 dialect per 10,000 noo 10 author per 10,000 27 dialect per 10,000 why 10 author per 10,000 4 dialect per 10,000 hair 9 author per 10,000 3 dialect per 10,000 coul 9 author per 10,000 0 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 0 dialect per 10,000 mair 9 author per 10,000 1 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 13 dialect per 10,000 sae 9 author per 10,000 1 dialect per 10,000 iver 9 author per 10,000 0 dialect per 10,000 way 9 author per 10,000 1 dialect per 10,000 - 9 author per 10,000 76 dialect per 10,000 smile 9 author per 10,000 3 dialect per 10,000 hear 9 author per 10,000 4 dialect per 10,000 ruim 9 author per 10,000 0 dialect per 10,000 to 9 author per 10,000 8 dialect per 10,000 first 9 author per 10,000 7 dialect per 10,000 wumman 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 5 dialect per 10,000 its 9 author per 10,000 2 dialect per 10,000 gaun 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 4 dialect per 10,000 pit 8 author per 10,000 5 dialect per 10,000 waal 8 author per 10,000 1 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 1 dialect per 10,000 sea 8 author per 10,000 8 dialect per 10,000 life 8 author per 10,000 7 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 and 8 author per 10,000 199 dialect per 10,000 bodie 8 author per 10,000 0 dialect per 10,000 king 8 author per 10,000 0 dialect per 10,000 say 8 author per 10,000 10 dialect per 10,000 quare 8 author per 10,000 0 dialect per 10,000 stuid 8 author per 10,000 0 dialect per 10,000 windae 8 author per 10,000 0 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 1 dialect per 10,000 then 8 author per 10,000 18 dialect per 10,000 licht 8 author per 10,000 0 dialect per 10,000 weel 7 author per 10,000 17 dialect per 10,000 wasnae 7 author per 10,000 0 dialect per 10,000 us 7 author per 10,000 6 dialect per 10,000 ye're 7 author per 10,000 0 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 4 dialect per 10,000 lifted 7 author per 10,000 0 dialect per 10,000 lir 7 author per 10,000 0 dialect per 10,000 juist 7 author per 10,000 0 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 1 dialect per 10,000 knowed 7 author per 10,000 0 dialect per 10,000 held 7 author per 10,000 1 dialect per 10,000 whaur 7 author per 10,000 1 dialect per 10,000 right 7 author per 10,000 17 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 1 dialect per 10,000 stapt 7 author per 10,000 0 dialect per 10,000 or 7 author per 10,000 30 dialect per 10,000 schuil 7 author per 10,000 0 dialect per 10,000 aff 7 author per 10,000 8 dialect per 10,000
Southern
the 677 author per 10,000 449 dialect per 10,000 an 335 author per 10,000 289 dialect per 10,000 a 259 author per 10,000 230 dialect per 10,000 o 230 author per 10,000 200 dialect per 10,000 tae 214 author per 10,000 206 dialect per 10,000 she 190 author per 10,000 91 dialect per 10,000 hir 153 author per 10,000 11 dialect per 10,000 in 152 author per 10,000 107 dialect per 10,000 was 145 author per 10,000 58 dialect per 10,000 on 103 author per 10,000 55 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 21 dialect per 10,000 wi 88 author per 10,000 66 dialect per 10,000 his 78 author per 10,000 37 dialect per 10,000 had 77 author per 10,000 0 dialect per 10,000 it 76 author per 10,000 63 dialect per 10,000 ma 71 author per 10,000 59 dialect per 10,000 i 69 author per 10,000 74 dialect per 10,000 that 67 author per 10,000 65 dialect per 10,000 at 67 author per 10,000 69 dialect per 10,000 as 61 author per 10,000 50 dialect per 10,000 ah 57 author per 10,000 75 dialect per 10,000 said 57 author per 10,000 65 dialect per 10,000 he 57 author per 10,000 12 dialect per 10,000 frae 54 author per 10,000 42 dialect per 10,000 fur 53 author per 10,000 42 dialect per 10,000 up 50 author per 10,000 41 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 14 dialect per 10,000 be 36 author per 10,000 13 dialect per 10,000 but 34 author per 10,000 42 dialect per 10,000 there 33 author per 10,000 16 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 17 dialect per 10,000 wud 31 author per 10,000 6 dialect per 10,000 no 31 author per 10,000 28 dialect per 10,000 what 30 author per 10,000 4 dialect per 10,000 oot 30 author per 10,000 34 dialect per 10,000 ower 29 author per 10,000 13 dialect per 10,000 me 28 author per 10,000 16 dialect per 10,000 bak 28 author per 10,000 0 dialect per 10,000 bae 28 author per 10,000 0 dialect per 10,000 them 27 author per 10,000 5 dialect per 10,000 €™s 26 author per 10,000 34 dialect per 10,000 aboot 25 author per 10,000 29 dialect per 10,000 jenny 25 author per 10,000 0 dialect per 10,000 doon 24 author per 10,000 24 dialect per 10,000 hae 24 author per 10,000 35 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 whan 24 author per 10,000 30 dialect per 10,000 they 24 author per 10,000 31 dialect per 10,000 him 23 author per 10,000 11 dialect per 10,000 een 23 author per 10,000 2 dialect per 10,000 saed 23 author per 10,000 0 dialect per 10,000 yer 22 author per 10,000 17 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 0 dialect per 10,000 ' 22 author per 10,000 6 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 22 dialect per 10,000 wean 21 author per 10,000 0 dialect per 10,000 know 21 author per 10,000 0 dialect per 10,000 is 21 author per 10,000 62 dialect per 10,000 did 20 author per 10,000 11 dialect per 10,000 weans 20 author per 10,000 0 dialect per 10,000 throu 20 author per 10,000 2 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 14 dialect per 10,000 face 18 author per 10,000 5 dialect per 10,000 hoose 18 author per 10,000 20 dialect per 10,000 see 18 author per 10,000 5 dialect per 10,000 hans 18 author per 10,000 0 dialect per 10,000 aal 18 author per 10,000 0 dialect per 10,000 if 18 author per 10,000 17 dialect per 10,000 we 18 author per 10,000 10 dialect per 10,000 come 18 author per 10,000 9 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 gary 17 author per 10,000 0 dialect per 10,000 mine 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 25 dialect per 10,000 bin 17 author per 10,000 6 dialect per 10,000 wur 17 author per 10,000 27 dialect per 10,000 harry 16 author per 10,000 0 dialect per 10,000 guid 16 author per 10,000 14 dialect per 10,000 lik 16 author per 10,000 16 dialect per 10,000 heid 16 author per 10,000 16 dialect per 10,000 thon 16 author per 10,000 4 dialect per 10,000 this 16 author per 10,000 35 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 onlie 15 author per 10,000 0 dialect per 10,000 it's 15 author per 10,000 8 dialect per 10,000 here 15 author per 10,000 13 dialect per 10,000 aye 15 author per 10,000 11 dialect per 10,000 for 15 author per 10,000 22 dialect per 10,000 who 15 author per 10,000 0 dialect per 10,000 mrs 15 author per 10,000 7 dialect per 10,000 dure 15 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 9 dialect per 10,000 dinnae 14 author per 10,000 10 dialect per 10,000 road 14 author per 10,000 7 dialect per 10,000 han 14 author per 10,000 0 dialect per 10,000 again 14 author per 10,000 2 dialect per 10,000 oul 13 author per 10,000 0 dialect per 10,000 day 13 author per 10,000 17 dialect per 10,000 wee 13 author per 10,000 23 dialect per 10,000 i'm 13 author per 10,000 1 dialect per 10,000 efter 13 author per 10,000 13 dialect per 10,000 mornin 13 author per 10,000 2 dialect per 10,000 grace 13 author per 10,000 1 dialect per 10,000 didnae 12 author per 10,000 5 dialect per 10,000 niver 12 author per 10,000 1 dialect per 10,000 teuk 12 author per 10,000 1 dialect per 10,000 are 12 author per 10,000 9 dialect per 10,000 afore 12 author per 10,000 16 dialect per 10,000 git 12 author per 10,000 2 dialect per 10,000 were 12 author per 10,000 15 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 8 dialect per 10,000 dae 12 author per 10,000 14 dialect per 10,000 hame 11 author per 10,000 8 dialect per 10,000 turnt 11 author per 10,000 2 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 9 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 need 11 author per 10,000 1 dialect per 10,000 you 11 author per 10,000 3 dialect per 10,000 aroon 11 author per 10,000 0 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 9 dialect per 10,000 feet 10 author per 10,000 3 dialect per 10,000 nicht 10 author per 10,000 8 dialect per 10,000 twa 10 author per 10,000 2 dialect per 10,000 man 10 author per 10,000 7 dialect per 10,000 watter 10 author per 10,000 1 dialect per 10,000 noo 10 author per 10,000 16 dialect per 10,000 why 10 author per 10,000 1 dialect per 10,000 hair 9 author per 10,000 2 dialect per 10,000 coul 9 author per 10,000 0 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 0 dialect per 10,000 mair 9 author per 10,000 16 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 10 dialect per 10,000 sae 9 author per 10,000 28 dialect per 10,000 iver 9 author per 10,000 0 dialect per 10,000 way 9 author per 10,000 1 dialect per 10,000 - 9 author per 10,000 29 dialect per 10,000 smile 9 author per 10,000 1 dialect per 10,000 hear 9 author per 10,000 5 dialect per 10,000 ruim 9 author per 10,000 0 dialect per 10,000 to 9 author per 10,000 1 dialect per 10,000 first 9 author per 10,000 2 dialect per 10,000 wumman 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 6 dialect per 10,000 its 9 author per 10,000 8 dialect per 10,000 gaun 9 author per 10,000 14 dialect per 10,000 side 9 author per 10,000 7 dialect per 10,000 pit 8 author per 10,000 2 dialect per 10,000 waal 8 author per 10,000 1 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 1 dialect per 10,000 sea 8 author per 10,000 3 dialect per 10,000 life 8 author per 10,000 6 dialect per 10,000 airms 8 author per 10,000 1 dialect per 10,000 and 8 author per 10,000 33 dialect per 10,000 bodie 8 author per 10,000 1 dialect per 10,000 king 8 author per 10,000 9 dialect per 10,000 say 8 author per 10,000 17 dialect per 10,000 quare 8 author per 10,000 0 dialect per 10,000 stuid 8 author per 10,000 2 dialect per 10,000 windae 8 author per 10,000 1 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 1 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 licht 8 author per 10,000 2 dialect per 10,000 weel 7 author per 10,000 4 dialect per 10,000 wasnae 7 author per 10,000 1 dialect per 10,000 us 7 author per 10,000 5 dialect per 10,000 ye're 7 author per 10,000 1 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 1 dialect per 10,000 lifted 7 author per 10,000 0 dialect per 10,000 lir 7 author per 10,000 0 dialect per 10,000 juist 7 author per 10,000 13 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 1 dialect per 10,000 knowed 7 author per 10,000 0 dialect per 10,000 held 7 author per 10,000 1 dialect per 10,000 whaur 7 author per 10,000 7 dialect per 10,000 right 7 author per 10,000 1 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 1 dialect per 10,000 stapt 7 author per 10,000 0 dialect per 10,000 or 7 author per 10,000 22 dialect per 10,000 schuil 7 author per 10,000 9 dialect per 10,000 aff 7 author per 10,000 4 dialect per 10,000 		Ulster
the 677 author per 10,000 312 dialect per 10,000 an 335 author per 10,000 361 dialect per 10,000 a 259 author per 10,000 289 dialect per 10,000 o 230 author per 10,000 206 dialect per 10,000 tae 214 author per 10,000 256 dialect per 10,000 she 190 author per 10,000 13 dialect per 10,000 hir 153 author per 10,000 23 dialect per 10,000 in 152 author per 10,000 118 dialect per 10,000 was 145 author per 10,000 11 dialect per 10,000 on 103 author per 10,000 53 dialect per 10,000 maisie 100 author per 10,000 0 dialect per 10,000 ye 88 author per 10,000 78 dialect per 10,000 wi 88 author per 10,000 61 dialect per 10,000 his 78 author per 10,000 18 dialect per 10,000 had 77 author per 10,000 15 dialect per 10,000 it 76 author per 10,000 73 dialect per 10,000 ma 71 author per 10,000 20 dialect per 10,000 i 69 author per 10,000 9 dialect per 10,000 that 67 author per 10,000 71 dialect per 10,000 at 67 author per 10,000 57 dialect per 10,000 as 61 author per 10,000 28 dialect per 10,000 ah 57 author per 10,000 12 dialect per 10,000 said 57 author per 10,000 28 dialect per 10,000 he 57 author per 10,000 62 dialect per 10,000 frae 54 author per 10,000 34 dialect per 10,000 fur 53 author per 10,000 46 dialect per 10,000 up 50 author per 10,000 30 dialect per 10,000 sally 46 author per 10,000 0 dialect per 10,000 €™ 46 author per 10,000 20 dialect per 10,000 be 36 author per 10,000 39 dialect per 10,000 but 34 author per 10,000 41 dialect per 10,000 there 33 author per 10,000 6 dialect per 10,000 daniel 33 author per 10,000 0 dialect per 10,000 her 31 author per 10,000 7 dialect per 10,000 wud 31 author per 10,000 20 dialect per 10,000 no 31 author per 10,000 21 dialect per 10,000 what 30 author per 10,000 9 dialect per 10,000 oot 30 author per 10,000 50 dialect per 10,000 ower 29 author per 10,000 17 dialect per 10,000 me 28 author per 10,000 24 dialect per 10,000 bak 28 author per 10,000 14 dialect per 10,000 bae 28 author per 10,000 41 dialect per 10,000 them 27 author per 10,000 7 dialect per 10,000 €™s 26 author per 10,000 12 dialect per 10,000 aboot 25 author per 10,000 27 dialect per 10,000 jenny 25 author per 10,000 3 dialect per 10,000 doon 24 author per 10,000 28 dialect per 10,000 hae 24 author per 10,000 57 dialect per 10,000 intae 24 author per 10,000 13 dialect per 10,000 whan 24 author per 10,000 16 dialect per 10,000 they 24 author per 10,000 27 dialect per 10,000 him 23 author per 10,000 9 dialect per 10,000 een 23 author per 10,000 7 dialect per 10,000 saed 23 author per 10,000 9 dialect per 10,000 yer 22 author per 10,000 38 dialect per 10,000 hughie 22 author per 10,000 0 dialect per 10,000 cud 22 author per 10,000 13 dialect per 10,000 ' 22 author per 10,000 11 dialect per 10,000 leukt 22 author per 10,000 0 dialect per 10,000 yin 21 author per 10,000 35 dialect per 10,000 wean 21 author per 10,000 4 dialect per 10,000 know 21 author per 10,000 11 dialect per 10,000 is 21 author per 10,000 18 dialect per 10,000 did 20 author per 10,000 4 dialect per 10,000 weans 20 author per 10,000 7 dialect per 10,000 throu 20 author per 10,000 3 dialect per 10,000 leonard 20 author per 10,000 0 dialect per 10,000 esther 19 author per 10,000 0 dialect per 10,000 time 19 author per 10,000 13 dialect per 10,000 face 18 author per 10,000 2 dialect per 10,000 hoose 18 author per 10,000 13 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 hans 18 author per 10,000 2 dialect per 10,000 aal 18 author per 10,000 9 dialect per 10,000 if 18 author per 10,000 13 dialect per 10,000 we 18 author per 10,000 18 dialect per 10,000 come 18 author per 10,000 9 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 gary 17 author per 10,000 2 dialect per 10,000 mine 17 author per 10,000 9 dialect per 10,000 nae 17 author per 10,000 22 dialect per 10,000 bin 17 author per 10,000 6 dialect per 10,000 wur 17 author per 10,000 17 dialect per 10,000 harry 16 author per 10,000 2 dialect per 10,000 guid 16 author per 10,000 17 dialect per 10,000 lik 16 author per 10,000 6 dialect per 10,000 heid 16 author per 10,000 12 dialect per 10,000 thon 16 author per 10,000 28 dialect per 10,000 this 16 author per 10,000 28 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 onlie 15 author per 10,000 2 dialect per 10,000 it's 15 author per 10,000 13 dialect per 10,000 here 15 author per 10,000 10 dialect per 10,000 aye 15 author per 10,000 12 dialect per 10,000 for 15 author per 10,000 33 dialect per 10,000 who 15 author per 10,000 1 dialect per 10,000 mrs 15 author per 10,000 0 dialect per 10,000 dure 15 author per 10,000 1 dialect per 10,000 ain 14 author per 10,000 14 dialect per 10,000 dinnae 14 author per 10,000 11 dialect per 10,000 road 14 author per 10,000 2 dialect per 10,000 han 14 author per 10,000 5 dialect per 10,000 again 14 author per 10,000 2 dialect per 10,000 oul 13 author per 10,000 16 dialect per 10,000 day 13 author per 10,000 15 dialect per 10,000 wee 13 author per 10,000 29 dialect per 10,000 i'm 13 author per 10,000 1 dialect per 10,000 efter 13 author per 10,000 6 dialect per 10,000 mornin 13 author per 10,000 0 dialect per 10,000 grace 13 author per 10,000 2 dialect per 10,000 didnae 12 author per 10,000 6 dialect per 10,000 niver 12 author per 10,000 9 dialect per 10,000 teuk 12 author per 10,000 0 dialect per 10,000 are 12 author per 10,000 4 dialect per 10,000 afore 12 author per 10,000 12 dialect per 10,000 git 12 author per 10,000 5 dialect per 10,000 were 12 author per 10,000 4 dialect per 10,000 alfie 12 author per 10,000 0 dialect per 10,000 sally's 12 author per 10,000 0 dialect per 10,000 voice 12 author per 10,000 4 dialect per 10,000 dae 12 author per 10,000 25 dialect per 10,000 hame 11 author per 10,000 10 dialect per 10,000 turnt 11 author per 10,000 2 dialect per 10,000 walkt 11 author per 10,000 0 dialect per 10,000 boy 11 author per 10,000 1 dialect per 10,000 tak 11 author per 10,000 13 dialect per 10,000 leuk 11 author per 10,000 1 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 you 11 author per 10,000 4 dialect per 10,000 aroon 11 author per 10,000 3 dialect per 10,000 ma's 11 author per 10,000 0 dialect per 10,000 tell 10 author per 10,000 10 dialect per 10,000 feet 10 author per 10,000 3 dialect per 10,000 nicht 10 author per 10,000 6 dialect per 10,000 twa 10 author per 10,000 11 dialect per 10,000 man 10 author per 10,000 17 dialect per 10,000 watter 10 author per 10,000 4 dialect per 10,000 noo 10 author per 10,000 23 dialect per 10,000 why 10 author per 10,000 4 dialect per 10,000 hair 9 author per 10,000 1 dialect per 10,000 coul 9 author per 10,000 2 dialect per 10,000 play 9 author per 10,000 2 dialect per 10,000 al 9 author per 10,000 2 dialect per 10,000 mair 9 author per 10,000 29 dialect per 10,000 scullery 9 author per 10,000 0 dialect per 10,000 can 9 author per 10,000 15 dialect per 10,000 sae 9 author per 10,000 26 dialect per 10,000 iver 9 author per 10,000 4 dialect per 10,000 way 9 author per 10,000 1 dialect per 10,000 - 9 author per 10,000 27 dialect per 10,000 smile 9 author per 10,000 1 dialect per 10,000 hear 9 author per 10,000 5 dialect per 10,000 ruim 9 author per 10,000 1 dialect per 10,000 to 9 author per 10,000 2 dialect per 10,000 first 9 author per 10,000 1 dialect per 10,000 wumman 9 author per 10,000 5 dialect per 10,000 white 9 author per 10,000 4 dialect per 10,000 its 9 author per 10,000 8 dialect per 10,000 gaun 9 author per 10,000 2 dialect per 10,000 side 9 author per 10,000 3 dialect per 10,000 pit 8 author per 10,000 11 dialect per 10,000 waal 8 author per 10,000 0 dialect per 10,000 andrews 8 author per 10,000 0 dialect per 10,000 sang 8 author per 10,000 2 dialect per 10,000 sea 8 author per 10,000 1 dialect per 10,000 life 8 author per 10,000 5 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 and 8 author per 10,000 10 dialect per 10,000 bodie 8 author per 10,000 8 dialect per 10,000 king 8 author per 10,000 5 dialect per 10,000 say 8 author per 10,000 10 dialect per 10,000 quare 8 author per 10,000 5 dialect per 10,000 stuid 8 author per 10,000 0 dialect per 10,000 windae 8 author per 10,000 0 dialect per 10,000 gourley 8 author per 10,000 0 dialect per 10,000 kitchen 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 licht 8 author per 10,000 5 dialect per 10,000 weel 7 author per 10,000 13 dialect per 10,000 wasnae 7 author per 10,000 1 dialect per 10,000 us 7 author per 10,000 4 dialect per 10,000 ye're 7 author per 10,000 1 dialect per 10,000 daniel's 7 author per 10,000 0 dialect per 10,000 shore 7 author per 10,000 2 dialect per 10,000 lifted 7 author per 10,000 0 dialect per 10,000 lir 7 author per 10,000 1 dialect per 10,000 juist 7 author per 10,000 1 dialect per 10,000 higgins 7 author per 10,000 0 dialect per 10,000 waterloo 7 author per 10,000 0 dialect per 10,000 front 7 author per 10,000 1 dialect per 10,000 knowed 7 author per 10,000 3 dialect per 10,000 held 7 author per 10,000 0 dialect per 10,000 whaur 7 author per 10,000 3 dialect per 10,000 right 7 author per 10,000 1 dialect per 10,000 leonard's 7 author per 10,000 0 dialect per 10,000 red 7 author per 10,000 0 dialect per 10,000 stapt 7 author per 10,000 1 dialect per 10,000 or 7 author per 10,000 36 dialect per 10,000 schuil 7 author per 10,000 3 dialect per 10,000 aff 7 author per 10,000 15 dialect per 10,000