A Corpus of 21st Century Scots Texts

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Johnson, Mary

Punctuation analysis - Fine grain dialect analysis - Basic author info
Total words by this author in corpus - 3,535
Total unique words used by this author in corpus - 1,095
Ratio of total words to unique words - 3.228
Top ten most common words - the, a, an, in, e, we, it, he, wiz, o,

Word frequency analysis

For these graphs we normalise the words used by the author to occurrences per million, and we calculate a similar normalised number of occurrences for the same word in each dialect. The author's norm is plotted against each dialect's norm in each graph.
If the dots line up with the diagonal line then the author is using words found in that dialect in about the typical frequency expected.
If the dots are below the dotted line, then the author's words are not found in the dialect as often as expected.
If the dots are along the y-axis, the words are not found in that dialect.
To save memory only the most frequent 200 words of the author's work are plotted.

Lallans
the 396 author per 10,000 563 dialect per 10,000 a 351 author per 10,000 261 dialect per 10,000 an 272 author per 10,000 219 dialect per 10,000 in 215 author per 10,000 150 dialect per 10,000 e 192 author per 10,000 2 dialect per 10,000 we 190 author per 10,000 34 dialect per 10,000 it 153 author per 10,000 122 dialect per 10,000 he 150 author per 10,000 89 dialect per 10,000 wiz 141 author per 10,000 2 dialect per 10,000 o 141 author per 10,000 191 dialect per 10,000 € 130 author per 10,000 38 dialect per 10,000 €™s 130 author per 10,000 41 dialect per 10,000 i 107 author per 10,000 35 dialect per 10,000 me 105 author per 10,000 40 dialect per 10,000 tae 88 author per 10,000 220 dialect per 10,000 for 76 author per 10,000 47 dialect per 10,000 on 71 author per 10,000 56 dialect per 10,000 oot 71 author per 10,000 40 dialect per 10,000 door 68 author per 10,000 6 dialect per 10,000 that 68 author per 10,000 118 dialect per 10,000 key 62 author per 10,000 0 dialect per 10,000 she 62 author per 10,000 61 dialect per 10,000 back 59 author per 10,000 21 dialect per 10,000 his 59 author per 10,000 52 dialect per 10,000 wi 57 author per 10,000 62 dialect per 10,000 €™m 57 author per 10,000 7 dialect per 10,000 at 54 author per 10,000 56 dialect per 10,000 ma 54 author per 10,000 48 dialect per 10,000 bit 54 author per 10,000 16 dialect per 10,000 nae 51 author per 10,000 20 dialect per 10,000 doon 51 author per 10,000 17 dialect per 10,000 up 48 author per 10,000 40 dialect per 10,000 ye 45 author per 10,000 56 dialect per 10,000 wis 45 author per 10,000 101 dialect per 10,000 is 42 author per 10,000 62 dialect per 10,000 as 42 author per 10,000 60 dialect per 10,000 fit 42 author per 10,000 2 dialect per 10,000 ti 40 author per 10,000 17 dialect per 10,000 her 40 author per 10,000 48 dialect per 10,000 jist 40 author per 10,000 23 dialect per 10,000 there 40 author per 10,000 27 dialect per 10,000 says 37 author per 10,000 7 dialect per 10,000 time 37 author per 10,000 18 dialect per 10,000 aboot 37 author per 10,000 30 dialect per 10,000 whit 37 author per 10,000 27 dialect per 10,000 aa 34 author per 10,000 9 dialect per 10,000 aye 34 author per 10,000 15 dialect per 10,000 like 34 author per 10,000 28 dialect per 10,000 ken 34 author per 10,000 14 dialect per 10,000 intae 34 author per 10,000 19 dialect per 10,000 wid 31 author per 10,000 8 dialect per 10,000 this 31 author per 10,000 44 dialect per 10,000 aat 31 author per 10,000 0 dialect per 10,000 you 31 author per 10,000 17 dialect per 10,000 or 31 author per 10,000 29 dialect per 10,000 hid 28 author per 10,000 2 dialect per 10,000 lang 28 author per 10,000 9 dialect per 10,000 €™ll 28 author per 10,000 5 dialect per 10,000 then 28 author per 10,000 16 dialect per 10,000 if 28 author per 10,000 17 dialect per 10,000 get 28 author per 10,000 16 dialect per 10,000 him 28 author per 10,000 29 dialect per 10,000 yin 28 author per 10,000 8 dialect per 10,000 noo 28 author per 10,000 13 dialect per 10,000 wee 25 author per 10,000 23 dialect per 10,000 day 25 author per 10,000 13 dialect per 10,000 place 25 author per 10,000 6 dialect per 10,000 awa 25 author per 10,000 9 dialect per 10,000 aw 25 author per 10,000 44 dialect per 10,000 twa 25 author per 10,000 9 dialect per 10,000 they 25 author per 10,000 43 dialect per 10,000 cunt 23 author per 10,000 3 dialect per 10,000 ony 23 author per 10,000 6 dialect per 10,000 een 23 author per 10,000 4 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 24 dialect per 10,000 money 23 author per 10,000 2 dialect per 10,000 fuckin 23 author per 10,000 6 dialect per 10,000 kieran 23 author per 10,000 0 dialect per 10,000 bag 23 author per 10,000 1 dialect per 10,000 hoose 23 author per 10,000 6 dialect per 10,000 iss 23 author per 10,000 0 dialect per 10,000 anither 23 author per 10,000 6 dialect per 10,000 no 20 author per 10,000 34 dialect per 10,000 ower 20 author per 10,000 18 dialect per 10,000 them 20 author per 10,000 17 dialect per 10,000 €™re 20 author per 10,000 5 dialect per 10,000 some 20 author per 10,000 14 dialect per 10,000 €™d 20 author per 10,000 8 dialect per 10,000 thon 20 author per 10,000 6 dialect per 10,000 can 20 author per 10,000 15 dialect per 10,000 nicht 20 author per 10,000 5 dialect per 10,000 till 20 author per 10,000 3 dialect per 10,000 roon 20 author per 10,000 3 dialect per 10,000 oan 20 author per 10,000 17 dialect per 10,000 mair 20 author per 10,000 19 dialect per 10,000 wyte 17 author per 10,000 0 dialect per 10,000 hear 17 author per 10,000 4 dialect per 10,000 hiv 17 author per 10,000 2 dialect per 10,000 come 17 author per 10,000 9 dialect per 10,000 windae 17 author per 10,000 2 dialect per 10,000 dae 17 author per 10,000 17 dialect per 10,000 see 17 author per 10,000 16 dialect per 10,000 €™t 17 author per 10,000 4 dialect per 10,000 addy 17 author per 10,000 0 dialect per 10,000 be 17 author per 10,000 51 dialect per 10,000 and 17 author per 10,000 89 dialect per 10,000 fae 17 author per 10,000 30 dialect per 10,000 frae 17 author per 10,000 13 dialect per 10,000 been 17 author per 10,000 20 dialect per 10,000 afore 17 author per 10,000 9 dialect per 10,000 look 17 author per 10,000 5 dialect per 10,000 oor 17 author per 10,000 17 dialect per 10,000 nivvir 17 author per 10,000 0 dialect per 10,000 hooses 17 author per 10,000 1 dialect per 10,000 far 17 author per 10,000 2 dialect per 10,000 kitchen 17 author per 10,000 1 dialect per 10,000 said 17 author per 10,000 39 dialect per 10,000 hine 17 author per 10,000 0 dialect per 10,000 inside 14 author per 10,000 2 dialect per 10,000 fin 14 author per 10,000 1 dialect per 10,000 tell 14 author per 10,000 7 dialect per 10,000 goat 14 author per 10,000 4 dialect per 10,000 so 14 author per 10,000 9 dialect per 10,000 hame 14 author per 10,000 5 dialect per 10,000 whin 14 author per 10,000 1 dialect per 10,000 cupboard 14 author per 10,000 0 dialect per 10,000 open 14 author per 10,000 3 dialect per 10,000 side 14 author per 10,000 3 dialect per 10,000 here 14 author per 10,000 12 dialect per 10,000 aidan 14 author per 10,000 0 dialect per 10,000 wir 14 author per 10,000 3 dialect per 10,000 bushes 14 author per 10,000 0 dialect per 10,000 hoo 14 author per 10,000 3 dialect per 10,000 ee 14 author per 10,000 1 dialect per 10,000 €™ 14 author per 10,000 42 dialect per 10,000 yir 14 author per 10,000 5 dialect per 10,000 €œ 14 author per 10,000 0 dialect per 10,000 drive 14 author per 10,000 1 dialect per 10,000 are 14 author per 10,000 17 dialect per 10,000 lookin 11 author per 10,000 3 dialect per 10,000 near 11 author per 10,000 3 dialect per 10,000 €™ve 11 author per 10,000 4 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 €œwe 11 author per 10,000 1 dialect per 10,000 seen 11 author per 10,000 6 dialect per 10,000 am 11 author per 10,000 3 dialect per 10,000 right 11 author per 10,000 5 dialect per 10,000 deen 11 author per 10,000 0 dialect per 10,000 sneak 11 author per 10,000 0 dialect per 10,000 €œwhit 11 author per 10,000 1 dialect per 10,000 ahint 11 author per 10,000 2 dialect per 10,000 think 11 author per 10,000 9 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 ilka 11 author per 10,000 4 dialect per 10,000 pal 11 author per 10,000 2 dialect per 10,000 of 11 author per 10,000 10 dialect per 10,000 hell 11 author per 10,000 1 dialect per 10,000 wan 11 author per 10,000 9 dialect per 10,000 nivver 11 author per 10,000 2 dialect per 10,000 last 11 author per 10,000 6 dialect per 10,000 breakin 11 author per 10,000 0 dialect per 10,000 naethin 11 author per 10,000 2 dialect per 10,000 next 11 author per 10,000 2 dialect per 10,000 go 11 author per 10,000 7 dialect per 10,000 need 11 author per 10,000 5 dialect per 10,000 comes 11 author per 10,000 3 dialect per 10,000 maakin 11 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 9 dialect per 10,000 rossie 8 author per 10,000 0 dialect per 10,000 em 8 author per 10,000 1 dialect per 10,000 wark 8 author per 10,000 3 dialect per 10,000 wunnerin 8 author per 10,000 0 dialect per 10,000 coat 8 author per 10,000 0 dialect per 10,000 posh 8 author per 10,000 1 dialect per 10,000 avenue 8 author per 10,000 0 dialect per 10,000 kens 8 author per 10,000 1 dialect per 10,000 cried 8 author per 10,000 5 dialect per 10,000 park 8 author per 10,000 1 dialect per 10,000 goes 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 8 dialect per 10,000 €™v 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 2 dialect per 10,000 first 8 author per 10,000 10 dialect per 10,000 took 8 author per 10,000 3 dialect per 10,000 grun 8 author per 10,000 1 dialect per 10,000 ett 8 author per 10,000 0 dialect per 10,000 airms 8 author per 10,000 1 dialect per 10,000 joab 8 author per 10,000 1 dialect per 10,000 yer 8 author per 10,000 18 dialect per 10,000 soon 8 author per 10,000 3 dialect per 10,000 ivvir 8 author per 10,000 0 dialect per 10,000 gettin 8 author per 10,000 4 dialect per 10,000 idea 8 author per 10,000 2 dialect per 10,000 biscuits 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 5 dialect per 10,000 moira 8 author per 10,000 0 dialect per 10,000 cleaner 8 author per 10,000 0 dialect per 10,000 loons 8 author per 10,000 0 dialect per 10,000 		Doric
the 396 author per 10,000 534 dialect per 10,000 a 351 author per 10,000 285 dialect per 10,000 an 272 author per 10,000 315 dialect per 10,000 in 215 author per 10,000 136 dialect per 10,000 e 192 author per 10,000 59 dialect per 10,000 we 190 author per 10,000 21 dialect per 10,000 it 153 author per 10,000 109 dialect per 10,000 he 150 author per 10,000 103 dialect per 10,000 wiz 141 author per 10,000 19 dialect per 10,000 o 141 author per 10,000 200 dialect per 10,000 € 130 author per 10,000 19 dialect per 10,000 €™s 130 author per 10,000 30 dialect per 10,000 i 107 author per 10,000 54 dialect per 10,000 me 105 author per 10,000 21 dialect per 10,000 tae 88 author per 10,000 178 dialect per 10,000 for 76 author per 10,000 40 dialect per 10,000 on 71 author per 10,000 65 dialect per 10,000 oot 71 author per 10,000 53 dialect per 10,000 door 68 author per 10,000 9 dialect per 10,000 that 68 author per 10,000 60 dialect per 10,000 key 62 author per 10,000 1 dialect per 10,000 she 62 author per 10,000 63 dialect per 10,000 back 59 author per 10,000 23 dialect per 10,000 his 59 author per 10,000 79 dialect per 10,000 wi 57 author per 10,000 88 dialect per 10,000 €™m 57 author per 10,000 4 dialect per 10,000 at 54 author per 10,000 57 dialect per 10,000 ma 54 author per 10,000 44 dialect per 10,000 bit 54 author per 10,000 48 dialect per 10,000 nae 51 author per 10,000 49 dialect per 10,000 doon 51 author per 10,000 33 dialect per 10,000 up 48 author per 10,000 48 dialect per 10,000 ye 45 author per 10,000 77 dialect per 10,000 wis 45 author per 10,000 115 dialect per 10,000 is 42 author per 10,000 41 dialect per 10,000 as 42 author per 10,000 57 dialect per 10,000 fit 42 author per 10,000 39 dialect per 10,000 ti 40 author per 10,000 4 dialect per 10,000 her 40 author per 10,000 75 dialect per 10,000 jist 40 author per 10,000 36 dialect per 10,000 there 40 author per 10,000 23 dialect per 10,000 says 37 author per 10,000 12 dialect per 10,000 time 37 author per 10,000 20 dialect per 10,000 aboot 37 author per 10,000 35 dialect per 10,000 whit 37 author per 10,000 3 dialect per 10,000 aa 34 author per 10,000 39 dialect per 10,000 aye 34 author per 10,000 15 dialect per 10,000 like 34 author per 10,000 41 dialect per 10,000 ken 34 author per 10,000 16 dialect per 10,000 intae 34 author per 10,000 12 dialect per 10,000 wid 31 author per 10,000 18 dialect per 10,000 this 31 author per 10,000 22 dialect per 10,000 aat 31 author per 10,000 10 dialect per 10,000 you 31 author per 10,000 21 dialect per 10,000 or 31 author per 10,000 23 dialect per 10,000 hid 28 author per 10,000 43 dialect per 10,000 lang 28 author per 10,000 12 dialect per 10,000 €™ll 28 author per 10,000 4 dialect per 10,000 then 28 author per 10,000 8 dialect per 10,000 if 28 author per 10,000 17 dialect per 10,000 get 28 author per 10,000 14 dialect per 10,000 him 28 author per 10,000 38 dialect per 10,000 yin 28 author per 10,000 1 dialect per 10,000 noo 28 author per 10,000 20 dialect per 10,000 wee 25 author per 10,000 19 dialect per 10,000 day 25 author per 10,000 34 dialect per 10,000 place 25 author per 10,000 6 dialect per 10,000 awa 25 author per 10,000 22 dialect per 10,000 aw 25 author per 10,000 1 dialect per 10,000 twa 25 author per 10,000 20 dialect per 10,000 they 25 author per 10,000 40 dialect per 10,000 cunt 23 author per 10,000 0 dialect per 10,000 ony 23 author per 10,000 9 dialect per 10,000 een 23 author per 10,000 18 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 26 dialect per 10,000 money 23 author per 10,000 1 dialect per 10,000 fuckin 23 author per 10,000 1 dialect per 10,000 kieran 23 author per 10,000 1 dialect per 10,000 bag 23 author per 10,000 2 dialect per 10,000 hoose 23 author per 10,000 12 dialect per 10,000 iss 23 author per 10,000 6 dialect per 10,000 anither 23 author per 10,000 7 dialect per 10,000 no 20 author per 10,000 5 dialect per 10,000 ower 20 author per 10,000 28 dialect per 10,000 them 20 author per 10,000 31 dialect per 10,000 €™re 20 author per 10,000 2 dialect per 10,000 some 20 author per 10,000 13 dialect per 10,000 €™d 20 author per 10,000 15 dialect per 10,000 thon 20 author per 10,000 4 dialect per 10,000 can 20 author per 10,000 12 dialect per 10,000 nicht 20 author per 10,000 12 dialect per 10,000 till 20 author per 10,000 21 dialect per 10,000 roon 20 author per 10,000 12 dialect per 10,000 oan 20 author per 10,000 10 dialect per 10,000 mair 20 author per 10,000 19 dialect per 10,000 wyte 17 author per 10,000 1 dialect per 10,000 hear 17 author per 10,000 3 dialect per 10,000 hiv 17 author per 10,000 10 dialect per 10,000 come 17 author per 10,000 12 dialect per 10,000 windae 17 author per 10,000 2 dialect per 10,000 dae 17 author per 10,000 4 dialect per 10,000 see 17 author per 10,000 21 dialect per 10,000 €™t 17 author per 10,000 2 dialect per 10,000 addy 17 author per 10,000 0 dialect per 10,000 be 17 author per 10,000 44 dialect per 10,000 and 17 author per 10,000 46 dialect per 10,000 fae 17 author per 10,000 29 dialect per 10,000 frae 17 author per 10,000 14 dialect per 10,000 been 17 author per 10,000 13 dialect per 10,000 afore 17 author per 10,000 14 dialect per 10,000 look 17 author per 10,000 7 dialect per 10,000 oor 17 author per 10,000 9 dialect per 10,000 nivvir 17 author per 10,000 0 dialect per 10,000 hooses 17 author per 10,000 1 dialect per 10,000 far 17 author per 10,000 14 dialect per 10,000 kitchen 17 author per 10,000 2 dialect per 10,000 said 17 author per 10,000 34 dialect per 10,000 hine 17 author per 10,000 1 dialect per 10,000 inside 14 author per 10,000 3 dialect per 10,000 fin 14 author per 10,000 25 dialect per 10,000 tell 14 author per 10,000 7 dialect per 10,000 goat 14 author per 10,000 0 dialect per 10,000 so 14 author per 10,000 12 dialect per 10,000 hame 14 author per 10,000 11 dialect per 10,000 whin 14 author per 10,000 0 dialect per 10,000 cupboard 14 author per 10,000 0 dialect per 10,000 open 14 author per 10,000 3 dialect per 10,000 side 14 author per 10,000 5 dialect per 10,000 here 14 author per 10,000 9 dialect per 10,000 aidan 14 author per 10,000 0 dialect per 10,000 wir 14 author per 10,000 4 dialect per 10,000 bushes 14 author per 10,000 1 dialect per 10,000 hoo 14 author per 10,000 1 dialect per 10,000 ee 14 author per 10,000 3 dialect per 10,000 €™ 14 author per 10,000 33 dialect per 10,000 yir 14 author per 10,000 0 dialect per 10,000 €œ 14 author per 10,000 0 dialect per 10,000 drive 14 author per 10,000 0 dialect per 10,000 are 14 author per 10,000 15 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 near 11 author per 10,000 7 dialect per 10,000 €™ve 11 author per 10,000 3 dialect per 10,000 wye 11 author per 10,000 13 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 €œwe 11 author per 10,000 1 dialect per 10,000 seen 11 author per 10,000 7 dialect per 10,000 am 11 author per 10,000 2 dialect per 10,000 right 11 author per 10,000 1 dialect per 10,000 deen 11 author per 10,000 3 dialect per 10,000 sneak 11 author per 10,000 0 dialect per 10,000 €œwhit 11 author per 10,000 0 dialect per 10,000 ahint 11 author per 10,000 0 dialect per 10,000 think 11 author per 10,000 10 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 ilka 11 author per 10,000 2 dialect per 10,000 pal 11 author per 10,000 1 dialect per 10,000 of 11 author per 10,000 8 dialect per 10,000 hell 11 author per 10,000 2 dialect per 10,000 wan 11 author per 10,000 2 dialect per 10,000 nivver 11 author per 10,000 8 dialect per 10,000 last 11 author per 10,000 6 dialect per 10,000 breakin 11 author per 10,000 0 dialect per 10,000 naethin 11 author per 10,000 4 dialect per 10,000 next 11 author per 10,000 2 dialect per 10,000 go 11 author per 10,000 3 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 comes 11 author per 10,000 5 dialect per 10,000 maakin 11 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 10 dialect per 10,000 rossie 8 author per 10,000 0 dialect per 10,000 em 8 author per 10,000 2 dialect per 10,000 wark 8 author per 10,000 1 dialect per 10,000 wunnerin 8 author per 10,000 0 dialect per 10,000 coat 8 author per 10,000 0 dialect per 10,000 posh 8 author per 10,000 0 dialect per 10,000 avenue 8 author per 10,000 0 dialect per 10,000 kens 8 author per 10,000 1 dialect per 10,000 cried 8 author per 10,000 3 dialect per 10,000 park 8 author per 10,000 2 dialect per 10,000 goes 8 author per 10,000 0 dialect per 10,000 tak 8 author per 10,000 9 dialect per 10,000 €™v 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 first 8 author per 10,000 8 dialect per 10,000 took 8 author per 10,000 3 dialect per 10,000 grun 8 author per 10,000 5 dialect per 10,000 ett 8 author per 10,000 2 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 joab 8 author per 10,000 0 dialect per 10,000 yer 8 author per 10,000 30 dialect per 10,000 soon 8 author per 10,000 1 dialect per 10,000 ivvir 8 author per 10,000 0 dialect per 10,000 gettin 8 author per 10,000 3 dialect per 10,000 idea 8 author per 10,000 2 dialect per 10,000 biscuits 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 3 dialect per 10,000 moira 8 author per 10,000 0 dialect per 10,000 cleaner 8 author per 10,000 0 dialect per 10,000 loons 8 author per 10,000 2 dialect per 10,000
Shetland
the 396 author per 10,000 23 dialect per 10,000 a 351 author per 10,000 235 dialect per 10,000 an 272 author per 10,000 349 dialect per 10,000 in 215 author per 10,000 93 dialect per 10,000 e 192 author per 10,000 0 dialect per 10,000 we 190 author per 10,000 38 dialect per 10,000 it 153 author per 10,000 59 dialect per 10,000 he 150 author per 10,000 122 dialect per 10,000 wiz 141 author per 10,000 0 dialect per 10,000 o 141 author per 10,000 187 dialect per 10,000 € 130 author per 10,000 4 dialect per 10,000 €™s 130 author per 10,000 17 dialect per 10,000 i 107 author per 10,000 133 dialect per 10,000 me 105 author per 10,000 51 dialect per 10,000 tae 88 author per 10,000 60 dialect per 10,000 for 76 author per 10,000 48 dialect per 10,000 on 71 author per 10,000 52 dialect per 10,000 oot 71 author per 10,000 47 dialect per 10,000 door 68 author per 10,000 6 dialect per 10,000 that 68 author per 10,000 4 dialect per 10,000 key 62 author per 10,000 1 dialect per 10,000 she 62 author per 10,000 3 dialect per 10,000 back 59 author per 10,000 19 dialect per 10,000 his 59 author per 10,000 61 dialect per 10,000 wi 57 author per 10,000 92 dialect per 10,000 €™m 57 author per 10,000 4 dialect per 10,000 at 54 author per 10,000 119 dialect per 10,000 ma 54 author per 10,000 0 dialect per 10,000 bit 54 author per 10,000 32 dialect per 10,000 nae 51 author per 10,000 26 dialect per 10,000 doon 51 author per 10,000 28 dialect per 10,000 up 48 author per 10,000 42 dialect per 10,000 ye 45 author per 10,000 0 dialect per 10,000 wis 45 author per 10,000 178 dialect per 10,000 is 42 author per 10,000 62 dialect per 10,000 as 42 author per 10,000 78 dialect per 10,000 fit 42 author per 10,000 4 dialect per 10,000 ti 40 author per 10,000 0 dialect per 10,000 her 40 author per 10,000 55 dialect per 10,000 jist 40 author per 10,000 0 dialect per 10,000 there 40 author per 10,000 1 dialect per 10,000 says 37 author per 10,000 7 dialect per 10,000 time 37 author per 10,000 21 dialect per 10,000 aboot 37 author per 10,000 43 dialect per 10,000 whit 37 author per 10,000 56 dialect per 10,000 aa 34 author per 10,000 57 dialect per 10,000 aye 34 author per 10,000 12 dialect per 10,000 like 34 author per 10,000 2 dialect per 10,000 ken 34 author per 10,000 16 dialect per 10,000 intae 34 author per 10,000 6 dialect per 10,000 wid 31 author per 10,000 43 dialect per 10,000 this 31 author per 10,000 1 dialect per 10,000 aat 31 author per 10,000 0 dialect per 10,000 you 31 author per 10,000 57 dialect per 10,000 or 31 author per 10,000 28 dialect per 10,000 hid 28 author per 10,000 1 dialect per 10,000 lang 28 author per 10,000 12 dialect per 10,000 €™ll 28 author per 10,000 5 dialect per 10,000 then 28 author per 10,000 1 dialect per 10,000 if 28 author per 10,000 30 dialect per 10,000 get 28 author per 10,000 6 dialect per 10,000 him 28 author per 10,000 57 dialect per 10,000 yin 28 author per 10,000 0 dialect per 10,000 noo 28 author per 10,000 19 dialect per 10,000 wee 25 author per 10,000 0 dialect per 10,000 day 25 author per 10,000 22 dialect per 10,000 place 25 author per 10,000 10 dialect per 10,000 awa 25 author per 10,000 15 dialect per 10,000 aw 25 author per 10,000 1 dialect per 10,000 twa 25 author per 10,000 11 dialect per 10,000 they 25 author per 10,000 1 dialect per 10,000 cunt 23 author per 10,000 0 dialect per 10,000 ony 23 author per 10,000 13 dialect per 10,000 een 23 author per 10,000 20 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 66 dialect per 10,000 money 23 author per 10,000 1 dialect per 10,000 fuckin 23 author per 10,000 0 dialect per 10,000 kieran 23 author per 10,000 0 dialect per 10,000 bag 23 author per 10,000 1 dialect per 10,000 hoose 23 author per 10,000 9 dialect per 10,000 iss 23 author per 10,000 0 dialect per 10,000 anither 23 author per 10,000 0 dialect per 10,000 no 20 author per 10,000 37 dialect per 10,000 ower 20 author per 10,000 27 dialect per 10,000 them 20 author per 10,000 1 dialect per 10,000 €™re 20 author per 10,000 1 dialect per 10,000 some 20 author per 10,000 14 dialect per 10,000 €™d 20 author per 10,000 2 dialect per 10,000 thon 20 author per 10,000 0 dialect per 10,000 can 20 author per 10,000 16 dialect per 10,000 nicht 20 author per 10,000 3 dialect per 10,000 till 20 author per 10,000 6 dialect per 10,000 roon 20 author per 10,000 1 dialect per 10,000 oan 20 author per 10,000 0 dialect per 10,000 mair 20 author per 10,000 18 dialect per 10,000 wyte 17 author per 10,000 0 dialect per 10,000 hear 17 author per 10,000 3 dialect per 10,000 hiv 17 author per 10,000 1 dialect per 10,000 come 17 author per 10,000 21 dialect per 10,000 windae 17 author per 10,000 0 dialect per 10,000 dae 17 author per 10,000 2 dialect per 10,000 see 17 author per 10,000 22 dialect per 10,000 €™t 17 author per 10,000 0 dialect per 10,000 addy 17 author per 10,000 0 dialect per 10,000 be 17 author per 10,000 60 dialect per 10,000 and 17 author per 10,000 19 dialect per 10,000 fae 17 author per 10,000 32 dialect per 10,000 frae 17 author per 10,000 1 dialect per 10,000 been 17 author per 10,000 13 dialect per 10,000 afore 17 author per 10,000 16 dialect per 10,000 look 17 author per 10,000 7 dialect per 10,000 oor 17 author per 10,000 1 dialect per 10,000 nivvir 17 author per 10,000 1 dialect per 10,000 hooses 17 author per 10,000 1 dialect per 10,000 far 17 author per 10,000 6 dialect per 10,000 kitchen 17 author per 10,000 0 dialect per 10,000 said 17 author per 10,000 94 dialect per 10,000 hine 17 author per 10,000 0 dialect per 10,000 inside 14 author per 10,000 1 dialect per 10,000 fin 14 author per 10,000 8 dialect per 10,000 tell 14 author per 10,000 9 dialect per 10,000 goat 14 author per 10,000 0 dialect per 10,000 so 14 author per 10,000 32 dialect per 10,000 hame 14 author per 10,000 7 dialect per 10,000 whin 14 author per 10,000 18 dialect per 10,000 cupboard 14 author per 10,000 0 dialect per 10,000 open 14 author per 10,000 1 dialect per 10,000 side 14 author per 10,000 5 dialect per 10,000 here 14 author per 10,000 11 dialect per 10,000 aidan 14 author per 10,000 0 dialect per 10,000 wir 14 author per 10,000 38 dialect per 10,000 bushes 14 author per 10,000 0 dialect per 10,000 hoo 14 author per 10,000 3 dialect per 10,000 ee 14 author per 10,000 12 dialect per 10,000 €™ 14 author per 10,000 28 dialect per 10,000 yir 14 author per 10,000 0 dialect per 10,000 €œ 14 author per 10,000 0 dialect per 10,000 drive 14 author per 10,000 0 dialect per 10,000 are 14 author per 10,000 2 dialect per 10,000 lookin 11 author per 10,000 5 dialect per 10,000 near 11 author per 10,000 2 dialect per 10,000 €™ve 11 author per 10,000 1 dialect per 10,000 wye 11 author per 10,000 25 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 €œwe 11 author per 10,000 0 dialect per 10,000 seen 11 author per 10,000 5 dialect per 10,000 am 11 author per 10,000 6 dialect per 10,000 right 11 author per 10,000 2 dialect per 10,000 deen 11 author per 10,000 0 dialect per 10,000 sneak 11 author per 10,000 0 dialect per 10,000 €œwhit 11 author per 10,000 0 dialect per 10,000 ahint 11 author per 10,000 4 dialect per 10,000 think 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 ilka 11 author per 10,000 0 dialect per 10,000 pal 11 author per 10,000 0 dialect per 10,000 of 11 author per 10,000 11 dialect per 10,000 hell 11 author per 10,000 0 dialect per 10,000 wan 11 author per 10,000 18 dialect per 10,000 nivver 11 author per 10,000 2 dialect per 10,000 last 11 author per 10,000 5 dialect per 10,000 breakin 11 author per 10,000 0 dialect per 10,000 naethin 11 author per 10,000 10 dialect per 10,000 next 11 author per 10,000 1 dialect per 10,000 go 11 author per 10,000 3 dialect per 10,000 need 11 author per 10,000 3 dialect per 10,000 comes 11 author per 10,000 4 dialect per 10,000 maakin 11 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 14 dialect per 10,000 rossie 8 author per 10,000 0 dialect per 10,000 em 8 author per 10,000 0 dialect per 10,000 wark 8 author per 10,000 2 dialect per 10,000 wunnerin 8 author per 10,000 0 dialect per 10,000 coat 8 author per 10,000 0 dialect per 10,000 posh 8 author per 10,000 0 dialect per 10,000 avenue 8 author per 10,000 0 dialect per 10,000 kens 8 author per 10,000 6 dialect per 10,000 cried 8 author per 10,000 4 dialect per 10,000 park 8 author per 10,000 0 dialect per 10,000 goes 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 15 dialect per 10,000 €™v 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 0 dialect per 10,000 first 8 author per 10,000 11 dialect per 10,000 took 8 author per 10,000 11 dialect per 10,000 grun 8 author per 10,000 0 dialect per 10,000 ett 8 author per 10,000 0 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 joab 8 author per 10,000 0 dialect per 10,000 yer 8 author per 10,000 1 dialect per 10,000 soon 8 author per 10,000 0 dialect per 10,000 ivvir 8 author per 10,000 0 dialect per 10,000 gettin 8 author per 10,000 1 dialect per 10,000 idea 8 author per 10,000 2 dialect per 10,000 biscuits 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 12 dialect per 10,000 moira 8 author per 10,000 0 dialect per 10,000 cleaner 8 author per 10,000 0 dialect per 10,000 loons 8 author per 10,000 0 dialect per 10,000 		Orkney
the 396 author per 10,000 525 dialect per 10,000 a 351 author per 10,000 308 dialect per 10,000 an 272 author per 10,000 109 dialect per 10,000 in 215 author per 10,000 154 dialect per 10,000 e 192 author per 10,000 0 dialect per 10,000 we 190 author per 10,000 40 dialect per 10,000 it 153 author per 10,000 29 dialect per 10,000 he 150 author per 10,000 122 dialect per 10,000 wiz 141 author per 10,000 0 dialect per 10,000 o 141 author per 10,000 182 dialect per 10,000 € 130 author per 10,000 9 dialect per 10,000 €™s 130 author per 10,000 32 dialect per 10,000 i 107 author per 10,000 188 dialect per 10,000 me 105 author per 10,000 128 dialect per 10,000 tae 88 author per 10,000 222 dialect per 10,000 for 76 author per 10,000 27 dialect per 10,000 on 71 author per 10,000 80 dialect per 10,000 oot 71 author per 10,000 52 dialect per 10,000 door 68 author per 10,000 10 dialect per 10,000 that 68 author per 10,000 97 dialect per 10,000 key 62 author per 10,000 0 dialect per 10,000 she 62 author per 10,000 7 dialect per 10,000 back 59 author per 10,000 25 dialect per 10,000 his 59 author per 10,000 77 dialect per 10,000 wi 57 author per 10,000 61 dialect per 10,000 €™m 57 author per 10,000 6 dialect per 10,000 at 54 author per 10,000 53 dialect per 10,000 ma 54 author per 10,000 1 dialect per 10,000 bit 54 author per 10,000 60 dialect per 10,000 nae 51 author per 10,000 1 dialect per 10,000 doon 51 author per 10,000 29 dialect per 10,000 up 48 author per 10,000 31 dialect per 10,000 ye 45 author per 10,000 19 dialect per 10,000 wis 45 author per 10,000 105 dialect per 10,000 is 42 author per 10,000 54 dialect per 10,000 as 42 author per 10,000 58 dialect per 10,000 fit 42 author per 10,000 1 dialect per 10,000 ti 40 author per 10,000 0 dialect per 10,000 her 40 author per 10,000 36 dialect per 10,000 jist 40 author per 10,000 1 dialect per 10,000 there 40 author per 10,000 24 dialect per 10,000 says 37 author per 10,000 5 dialect per 10,000 time 37 author per 10,000 18 dialect per 10,000 aboot 37 author per 10,000 29 dialect per 10,000 whit 37 author per 10,000 26 dialect per 10,000 aa 34 author per 10,000 8 dialect per 10,000 aye 34 author per 10,000 9 dialect per 10,000 like 34 author per 10,000 27 dialect per 10,000 ken 34 author per 10,000 17 dialect per 10,000 intae 34 author per 10,000 14 dialect per 10,000 wid 31 author per 10,000 26 dialect per 10,000 this 31 author per 10,000 37 dialect per 10,000 aat 31 author per 10,000 0 dialect per 10,000 you 31 author per 10,000 36 dialect per 10,000 or 31 author per 10,000 30 dialect per 10,000 hid 28 author per 10,000 115 dialect per 10,000 lang 28 author per 10,000 1 dialect per 10,000 €™ll 28 author per 10,000 3 dialect per 10,000 then 28 author per 10,000 23 dialect per 10,000 if 28 author per 10,000 16 dialect per 10,000 get 28 author per 10,000 14 dialect per 10,000 him 28 author per 10,000 26 dialect per 10,000 yin 28 author per 10,000 1 dialect per 10,000 noo 28 author per 10,000 21 dialect per 10,000 wee 25 author per 10,000 1 dialect per 10,000 day 25 author per 10,000 24 dialect per 10,000 place 25 author per 10,000 4 dialect per 10,000 awa 25 author per 10,000 1 dialect per 10,000 aw 25 author per 10,000 0 dialect per 10,000 twa 25 author per 10,000 13 dialect per 10,000 they 25 author per 10,000 44 dialect per 10,000 cunt 23 author per 10,000 0 dialect per 10,000 ony 23 author per 10,000 1 dialect per 10,000 een 23 author per 10,000 2 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 103 dialect per 10,000 money 23 author per 10,000 2 dialect per 10,000 fuckin 23 author per 10,000 0 dialect per 10,000 kieran 23 author per 10,000 0 dialect per 10,000 bag 23 author per 10,000 0 dialect per 10,000 hoose 23 author per 10,000 11 dialect per 10,000 iss 23 author per 10,000 1 dialect per 10,000 anither 23 author per 10,000 8 dialect per 10,000 no 20 author per 10,000 55 dialect per 10,000 ower 20 author per 10,000 15 dialect per 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17 author per 10,000 249 dialect per 10,000 fae 17 author per 10,000 31 dialect per 10,000 frae 17 author per 10,000 0 dialect per 10,000 been 17 author per 10,000 21 dialect per 10,000 afore 17 author per 10,000 13 dialect per 10,000 look 17 author per 10,000 0 dialect per 10,000 oor 17 author per 10,000 1 dialect per 10,000 nivvir 17 author per 10,000 0 dialect per 10,000 hooses 17 author per 10,000 0 dialect per 10,000 far 17 author per 10,000 5 dialect per 10,000 kitchen 17 author per 10,000 1 dialect per 10,000 said 17 author per 10,000 23 dialect per 10,000 hine 17 author per 10,000 0 dialect per 10,000 inside 14 author per 10,000 2 dialect per 10,000 fin 14 author per 10,000 0 dialect per 10,000 tell 14 author per 10,000 5 dialect per 10,000 goat 14 author per 10,000 1 dialect per 10,000 so 14 author per 10,000 34 dialect per 10,000 hame 14 author per 10,000 2 dialect per 10,000 whin 14 author per 10,000 11 dialect per 10,000 cupboard 14 author per 10,000 0 dialect per 10,000 open 14 author per 10,000 2 dialect per 10,000 side 14 author per 10,000 4 dialect per 10,000 here 14 author per 10,000 11 dialect per 10,000 aidan 14 author per 10,000 0 dialect per 10,000 wir 14 author per 10,000 35 dialect per 10,000 bushes 14 author per 10,000 0 dialect per 10,000 hoo 14 author per 10,000 10 dialect per 10,000 ee 14 author per 10,000 0 dialect per 10,000 €™ 14 author per 10,000 26 dialect per 10,000 yir 14 author per 10,000 7 dialect per 10,000 €œ 14 author per 10,000 0 dialect per 10,000 drive 14 author per 10,000 2 dialect per 10,000 are 14 author per 10,000 16 dialect per 10,000 lookin 11 author per 10,000 0 dialect per 10,000 near 11 author per 10,000 7 dialect per 10,000 €™ve 11 author per 10,000 1 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 0 dialect per 10,000 €œwe 11 author per 10,000 0 dialect per 10,000 seen 11 author per 10,000 8 dialect per 10,000 am 11 author per 10,000 3 dialect per 10,000 right 11 author per 10,000 18 dialect per 10,000 deen 11 author per 10,000 0 dialect per 10,000 sneak 11 author per 10,000 0 dialect per 10,000 €œwhit 11 author per 10,000 0 dialect per 10,000 ahint 11 author per 10,000 3 dialect per 10,000 think 11 author per 10,000 11 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 ilka 11 author per 10,000 0 dialect per 10,000 pal 11 author per 10,000 0 dialect per 10,000 of 11 author per 10,000 4 dialect per 10,000 hell 11 author per 10,000 1 dialect per 10,000 wan 11 author per 10,000 25 dialect per 10,000 nivver 11 author per 10,000 10 dialect per 10,000 last 11 author per 10,000 9 dialect per 10,000 breakin 11 author per 10,000 0 dialect per 10,000 naethin 11 author per 10,000 0 dialect per 10,000 next 11 author per 10,000 3 dialect per 10,000 go 11 author per 10,000 10 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 comes 11 author per 10,000 5 dialect per 10,000 maakin 11 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 4 dialect per 10,000 rossie 8 author per 10,000 0 dialect per 10,000 em 8 author per 10,000 0 dialect per 10,000 wark 8 author per 10,000 6 dialect per 10,000 wunnerin 8 author per 10,000 0 dialect per 10,000 coat 8 author per 10,000 1 dialect per 10,000 posh 8 author per 10,000 0 dialect per 10,000 avenue 8 author per 10,000 0 dialect per 10,000 kens 8 author per 10,000 3 dialect per 10,000 cried 8 author per 10,000 1 dialect per 10,000 park 8 author per 10,000 0 dialect per 10,000 goes 8 author per 10,000 1 dialect per 10,000 tak 8 author per 10,000 11 dialect per 10,000 €™v 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 first 8 author per 10,000 6 dialect per 10,000 took 8 author per 10,000 2 dialect per 10,000 grun 8 author per 10,000 0 dialect per 10,000 ett 8 author per 10,000 0 dialect per 10,000 airms 8 author per 10,000 1 dialect per 10,000 joab 8 author per 10,000 0 dialect per 10,000 yer 8 author per 10,000 7 dialect per 10,000 soon 8 author per 10,000 6 dialect per 10,000 ivvir 8 author per 10,000 0 dialect per 10,000 gettin 8 author per 10,000 0 dialect per 10,000 idea 8 author per 10,000 0 dialect per 10,000 biscuits 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 7 dialect per 10,000 moira 8 author per 10,000 0 dialect per 10,000 cleaner 8 author per 10,000 0 dialect per 10,000 loons 8 author per 10,000 0 dialect per 10,000
Southern
the 396 author per 10,000 463 dialect per 10,000 a 351 author per 10,000 239 dialect per 10,000 an 272 author per 10,000 302 dialect per 10,000 in 215 author per 10,000 111 dialect per 10,000 e 192 author per 10,000 1 dialect per 10,000 we 190 author per 10,000 18 dialect per 10,000 it 153 author per 10,000 60 dialect per 10,000 he 150 author per 10,000 15 dialect per 10,000 wiz 141 author per 10,000 0 dialect per 10,000 o 141 author per 10,000 191 dialect per 10,000 € 130 author per 10,000 10 dialect per 10,000 €™s 130 author per 10,000 32 dialect per 10,000 i 107 author per 10,000 62 dialect per 10,000 me 105 author per 10,000 13 dialect per 10,000 tae 88 author per 10,000 206 dialect per 10,000 for 76 author per 10,000 15 dialect per 10,000 on 71 author per 10,000 50 dialect per 10,000 oot 71 author per 10,000 34 dialect per 10,000 door 68 author per 10,000 7 dialect per 10,000 that 68 author per 10,000 61 dialect per 10,000 key 62 author per 10,000 1 dialect per 10,000 she 62 author per 10,000 78 dialect per 10,000 back 59 author per 10,000 19 dialect per 10,000 his 59 author per 10,000 38 dialect per 10,000 wi 57 author per 10,000 71 dialect per 10,000 €™m 57 author per 10,000 4 dialect per 10,000 at 54 author per 10,000 70 dialect per 10,000 ma 54 author per 10,000 56 dialect per 10,000 bit 54 author per 10,000 18 dialect per 10,000 nae 51 author per 10,000 26 dialect per 10,000 doon 51 author per 10,000 25 dialect per 10,000 up 48 author per 10,000 41 dialect per 10,000 ye 45 author per 10,000 31 dialect per 10,000 wis 45 author per 10,000 57 dialect per 10,000 is 42 author per 10,000 60 dialect per 10,000 as 42 author per 10,000 52 dialect per 10,000 fit 42 author per 10,000 5 dialect per 10,000 ti 40 author per 10,000 11 dialect per 10,000 her 40 author per 10,000 15 dialect per 10,000 jist 40 author per 10,000 16 dialect per 10,000 there 40 author per 10,000 16 dialect per 10,000 says 37 author per 10,000 2 dialect per 10,000 time 37 author per 10,000 15 dialect per 10,000 aboot 37 author per 10,000 28 dialect per 10,000 whit 37 author per 10,000 29 dialect per 10,000 aa 34 author per 10,000 13 dialect per 10,000 aye 34 author per 10,000 11 dialect per 10,000 like 34 author per 10,000 7 dialect per 10,000 ken 34 author per 10,000 18 dialect per 10,000 intae 34 author per 10,000 13 dialect per 10,000 wid 31 author per 10,000 3 dialect per 10,000 this 31 author per 10,000 32 dialect per 10,000 aat 31 author per 10,000 0 dialect per 10,000 you 31 author per 10,000 3 dialect per 10,000 or 31 author per 10,000 25 dialect per 10,000 hid 28 author per 10,000 1 dialect per 10,000 lang 28 author per 10,000 12 dialect per 10,000 €™ll 28 author per 10,000 2 dialect per 10,000 then 28 author per 10,000 18 dialect per 10,000 if 28 author per 10,000 16 dialect per 10,000 get 28 author per 10,000 11 dialect per 10,000 him 28 author per 10,000 13 dialect per 10,000 yin 28 author per 10,000 23 dialect per 10,000 noo 28 author per 10,000 13 dialect per 10,000 wee 25 author per 10,000 24 dialect per 10,000 day 25 author per 10,000 16 dialect per 10,000 place 25 author per 10,000 6 dialect per 10,000 awa 25 author per 10,000 14 dialect per 10,000 aw 25 author per 10,000 33 dialect per 10,000 twa 25 author per 10,000 3 dialect per 10,000 they 25 author per 10,000 35 dialect per 10,000 cunt 23 author per 10,000 0 dialect per 10,000 ony 23 author per 10,000 7 dialect per 10,000 een 23 author per 10,000 4 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 28 dialect per 10,000 money 23 author per 10,000 0 dialect per 10,000 fuckin 23 author per 10,000 0 dialect per 10,000 kieran 23 author per 10,000 0 dialect per 10,000 bag 23 author per 10,000 1 dialect per 10,000 hoose 23 author per 10,000 20 dialect per 10,000 iss 23 author per 10,000 0 dialect per 10,000 anither 23 author per 10,000 8 dialect per 10,000 no 20 author per 10,000 28 dialect per 10,000 ower 20 author per 10,000 16 dialect per 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author per 10,000 22 dialect per 10,000 fae 17 author per 10,000 6 dialect per 10,000 frae 17 author per 10,000 35 dialect per 10,000 been 17 author per 10,000 9 dialect per 10,000 afore 17 author per 10,000 15 dialect per 10,000 look 17 author per 10,000 4 dialect per 10,000 oor 17 author per 10,000 12 dialect per 10,000 nivvir 17 author per 10,000 0 dialect per 10,000 hooses 17 author per 10,000 2 dialect per 10,000 far 17 author per 10,000 2 dialect per 10,000 kitchen 17 author per 10,000 1 dialect per 10,000 said 17 author per 10,000 63 dialect per 10,000 hine 17 author per 10,000 0 dialect per 10,000 inside 14 author per 10,000 1 dialect per 10,000 fin 14 author per 10,000 1 dialect per 10,000 tell 14 author per 10,000 8 dialect per 10,000 goat 14 author per 10,000 0 dialect per 10,000 so 14 author per 10,000 3 dialect per 10,000 hame 14 author per 10,000 10 dialect per 10,000 whin 14 author per 10,000 1 dialect per 10,000 cupboard 14 author per 10,000 0 dialect per 10,000 open 14 author per 10,000 2 dialect per 10,000 side 14 author per 10,000 7 dialect per 10,000 here 14 author per 10,000 13 dialect per 10,000 aidan 14 author per 10,000 0 dialect per 10,000 wir 14 author per 10,000 5 dialect per 10,000 bushes 14 author per 10,000 0 dialect per 10,000 hoo 14 author per 10,000 4 dialect per 10,000 ee 14 author per 10,000 53 dialect per 10,000 €™ 14 author per 10,000 11 dialect per 10,000 yir 14 author per 10,000 5 dialect per 10,000 €œ 14 author per 10,000 0 dialect per 10,000 drive 14 author per 10,000 0 dialect per 10,000 are 14 author per 10,000 11 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 near 11 author per 10,000 4 dialect per 10,000 €™ve 11 author per 10,000 4 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 2 dialect per 10,000 €œwe 11 author per 10,000 0 dialect per 10,000 seen 11 author per 10,000 5 dialect per 10,000 am 11 author per 10,000 2 dialect per 10,000 right 11 author per 10,000 2 dialect per 10,000 deen 11 author per 10,000 0 dialect per 10,000 sneak 11 author per 10,000 0 dialect per 10,000 €œwhit 11 author per 10,000 0 dialect per 10,000 ahint 11 author per 10,000 5 dialect per 10,000 think 11 author per 10,000 7 dialect per 10,000 did 11 author per 10,000 10 dialect per 10,000 ilka 11 author per 10,000 2 dialect per 10,000 pal 11 author per 10,000 1 dialect per 10,000 of 11 author per 10,000 11 dialect per 10,000 hell 11 author per 10,000 0 dialect per 10,000 wan 11 author per 10,000 1 dialect per 10,000 nivver 11 author per 10,000 1 dialect per 10,000 last 11 author per 10,000 6 dialect per 10,000 breakin 11 author per 10,000 0 dialect per 10,000 naethin 11 author per 10,000 1 dialect per 10,000 next 11 author per 10,000 5 dialect per 10,000 go 11 author per 10,000 1 dialect per 10,000 need 11 author per 10,000 2 dialect per 10,000 comes 11 author per 10,000 1 dialect per 10,000 maakin 11 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 14 dialect per 10,000 rossie 8 author per 10,000 0 dialect per 10,000 em 8 author per 10,000 0 dialect per 10,000 wark 8 author per 10,000 1 dialect per 10,000 wunnerin 8 author per 10,000 0 dialect per 10,000 coat 8 author per 10,000 0 dialect per 10,000 posh 8 author per 10,000 0 dialect per 10,000 avenue 8 author per 10,000 0 dialect per 10,000 kens 8 author per 10,000 2 dialect per 10,000 cried 8 author per 10,000 3 dialect per 10,000 park 8 author per 10,000 1 dialect per 10,000 goes 8 author per 10,000 4 dialect per 10,000 tak 8 author per 10,000 8 dialect per 10,000 €™v 8 author per 10,000 0 dialect per 10,000 daft 8 author per 10,000 1 dialect per 10,000 first 8 author per 10,000 2 dialect per 10,000 took 8 author per 10,000 3 dialect per 10,000 grun 8 author per 10,000 1 dialect per 10,000 ett 8 author per 10,000 0 dialect per 10,000 airms 8 author per 10,000 2 dialect per 10,000 joab 8 author per 10,000 0 dialect per 10,000 yer 8 author per 10,000 20 dialect per 10,000 soon 8 author per 10,000 1 dialect per 10,000 ivvir 8 author per 10,000 0 dialect per 10,000 gettin 8 author per 10,000 4 dialect per 10,000 idea 8 author per 10,000 2 dialect per 10,000 biscuits 8 author per 10,000 0 dialect per 10,000 your 8 author per 10,000 1 dialect per 10,000 moira 8 author per 10,000 0 dialect per 10,000 cleaner 8 author per 10,000 0 dialect per 10,000 loons 8 author per 10,000 0 dialect per 10,000 		Ulster
the 396 author per 10,000 229 dialect per 10,000 a 351 author per 10,000 295 dialect per 10,000 an 272 author per 10,000 392 dialect per 10,000 in 215 author per 10,000 99 dialect per 10,000 e 192 author per 10,000 0 dialect per 10,000 we 190 author per 10,000 17 dialect per 10,000 it 153 author per 10,000 82 dialect per 10,000 he 150 author per 10,000 85 dialect per 10,000 wiz 141 author per 10,000 2 dialect per 10,000 o 141 author per 10,000 220 dialect per 10,000 € 130 author per 10,000 5 dialect per 10,000 €™s 130 author per 10,000 15 dialect per 10,000 i 107 author per 10,000 9 dialect per 10,000 me 105 author per 10,000 27 dialect per 10,000 tae 88 author per 10,000 259 dialect per 10,000 for 76 author per 10,000 44 dialect per 10,000 on 71 author per 10,000 72 dialect per 10,000 oot 71 author per 10,000 58 dialect per 10,000 door 68 author per 10,000 0 dialect per 10,000 that 68 author per 10,000 88 dialect per 10,000 key 62 author per 10,000 1 dialect per 10,000 she 62 author per 10,000 17 dialect per 10,000 back 59 author per 10,000 3 dialect per 10,000 his 59 author per 10,000 23 dialect per 10,000 wi 57 author per 10,000 69 dialect per 10,000 €™m 57 author per 10,000 1 dialect per 10,000 at 54 author per 10,000 47 dialect per 10,000 ma 54 author per 10,000 28 dialect per 10,000 bit 54 author per 10,000 8 dialect per 10,000 nae 51 author per 10,000 26 dialect per 10,000 doon 51 author per 10,000 35 dialect per 10,000 up 48 author per 10,000 38 dialect per 10,000 ye 45 author per 10,000 94 dialect per 10,000 wis 45 author per 10,000 1 dialect per 10,000 is 42 author per 10,000 22 dialect per 10,000 as 42 author per 10,000 30 dialect per 10,000 fit 42 author per 10,000 4 dialect per 10,000 ti 40 author per 10,000 0 dialect per 10,000 her 40 author per 10,000 8 dialect per 10,000 jist 40 author per 10,000 12 dialect per 10,000 there 40 author per 10,000 6 dialect per 10,000 says 37 author per 10,000 4 dialect per 10,000 time 37 author per 10,000 15 dialect per 10,000 aboot 37 author per 10,000 32 dialect per 10,000 whit 37 author per 10,000 2 dialect per 10,000 aa 34 author per 10,000 43 dialect per 10,000 aye 34 author per 10,000 15 dialect per 10,000 like 34 author per 10,000 9 dialect per 10,000 ken 34 author per 10,000 3 dialect per 10,000 intae 34 author per 10,000 12 dialect per 10,000 wid 31 author per 10,000 1 dialect per 10,000 this 31 author per 10,000 27 dialect per 10,000 aat 31 author per 10,000 0 dialect per 10,000 you 31 author per 10,000 5 dialect per 10,000 or 31 author per 10,000 43 dialect per 10,000 hid 28 author per 10,000 1 dialect per 10,000 lang 28 author per 10,000 14 dialect per 10,000 €™ll 28 author per 10,000 2 dialect per 10,000 then 28 author per 10,000 20 dialect per 10,000 if 28 author per 10,000 16 dialect per 10,000 get 28 author per 10,000 8 dialect per 10,000 him 28 author per 10,000 12 dialect per 10,000 yin 28 author per 10,000 42 dialect per 10,000 noo 28 author per 10,000 28 dialect per 10,000 wee 25 author per 10,000 27 dialect per 10,000 day 25 author per 10,000 19 dialect per 10,000 place 25 author per 10,000 6 dialect per 10,000 awa 25 author per 10,000 20 dialect per 10,000 aw 25 author per 10,000 2 dialect per 10,000 twa 25 author per 10,000 13 dialect per 10,000 they 25 author per 10,000 25 dialect per 10,000 cunt 23 author per 10,000 0 dialect per 10,000 ony 23 author per 10,000 2 dialect per 10,000 een 23 author per 10,000 9 dialect per 10,000 schyoopit 23 author per 10,000 0 dialect per 10,000 - 23 author per 10,000 23 dialect per 10,000 money 23 author per 10,000 2 dialect per 10,000 fuckin 23 author per 10,000 0 dialect per 10,000 kieran 23 author per 10,000 0 dialect per 10,000 bag 23 author per 10,000 0 dialect per 10,000 hoose 23 author per 10,000 17 dialect per 10,000 iss 23 author per 10,000 0 dialect per 10,000 anither 23 author per 10,000 10 dialect per 10,000 no 20 author per 10,000 27 dialect per 10,000 ower 20 author per 10,000 20 dialect per 10,000 them 20 author per 10,000 6 dialect per 10,000 €™re 20 author per 10,000 1 dialect per 10,000 some 20 author per 10,000 8 dialect per 10,000 €™d 20 author per 10,000 2 dialect per 10,000 thon 20 author per 10,000 18 dialect per 10,000 can 20 author per 10,000 12 dialect per 10,000 nicht 20 author per 10,000 8 dialect per 10,000 till 20 author per 10,000 1 dialect per 10,000 roon 20 author per 10,000 14 dialect per 10,000 oan 20 author per 10,000 11 dialect per 10,000 mair 20 author per 10,000 27 dialect per 10,000 wyte 17 author per 10,000 0 dialect per 10,000 hear 17 author per 10,000 6 dialect per 10,000 hiv 17 author per 10,000 0 dialect per 10,000 come 17 author per 10,000 10 dialect per 10,000 windae 17 author per 10,000 0 dialect per 10,000 dae 17 author per 10,000 28 dialect per 10,000 see 17 author per 10,000 20 dialect per 10,000 €™t 17 author per 10,000 3 dialect per 10,000 addy 17 author per 10,000 0 dialect per 10,000 be 17 author per 10,000 45 dialect per 10,000 and 17 author per 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