A Corpus of 21st Century Scots Texts

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Morrison Murray, Harold


Total words by this author in corpus - 4,100
Total unique words used by this author in corpus - 1,350
Ratio of total words to unique words - 3.037
Top ten most common words - the, a, an', tae, bit, noo, in, we, wis, for,

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 449 author per 10,000 565 dialect per 10,000 a 380 author per 10,000 266 dialect per 10,000 an' 227 author per 10,000 4 dialect per 10,000 tae 207 author per 10,000 211 dialect per 10,000 bit 151 author per 10,000 17 dialect per 10,000 noo 144 author per 10,000 14 dialect per 10,000 in 141 author per 10,000 147 dialect per 10,000 we 127 author per 10,000 34 dialect per 10,000 wis 127 author per 10,000 96 dialect per 10,000 for 117 author per 10,000 47 dialect per 10,000 a' 100 author per 10,000 1 dialect per 10,000 it 98 author per 10,000 116 dialect per 10,000 nae 83 author per 10,000 24 dialect per 10,000 be 80 author per 10,000 48 dialect per 10,000 at 78 author per 10,000 59 dialect per 10,000 his 78 author per 10,000 58 dialect per 10,000 ye 68 author per 10,000 62 dialect per 10,000 on 68 author per 10,000 54 dialect per 10,000 so 66 author per 10,000 10 dialect per 10,000 is 61 author per 10,000 58 dialect per 10,000 an 61 author per 10,000 224 dialect per 10,000 o' 61 author per 10,000 2 dialect per 10,000 he 56 author per 10,000 85 dialect per 10,000 wi 54 author per 10,000 67 dialect per 10,000 mony 54 author per 10,000 4 dialect per 10,000 oor 51 author per 10,000 15 dialect per 10,000 that 49 author per 10,000 106 dialect per 10,000 as 49 author per 10,000 59 dialect per 10,000 fae 46 author per 10,000 26 dialect per 10,000 there 44 author per 10,000 23 dialect per 10,000 yer 44 author per 10,000 20 dialect per 10,000 wi' 41 author per 10,000 1 dialect per 10,000 hae 39 author per 10,000 22 dialect per 10,000 they 39 author per 10,000 41 dialect per 10,000 jist 39 author per 10,000 20 dialect per 10,000 fin 37 author per 10,000 1 dialect per 10,000 were 37 author per 10,000 15 dialect per 10,000 and 37 author per 10,000 94 dialect per 10,000 of 37 author per 10,000 11 dialect per 10,000 hid 34 author per 10,000 2 dialect per 10,000 oot 34 author per 10,000 40 dialect per 10,000 ' 34 author per 10,000 53 dialect per 10,000 back 34 author per 10,000 21 dialect per 10,000 sure 34 author per 10,000 2 dialect per 10,000 to 32 author per 10,000 9 dialect per 10,000 mart 32 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 16 dialect per 10,000 like 32 author per 10,000 29 dialect per 10,000 or 32 author per 10,000 29 dialect per 10,000 doon 29 author per 10,000 18 dialect per 10,000 £ 29 author per 10,000 1 dialect per 10,000 are 29 author per 10,000 17 dialect per 10,000 first 29 author per 10,000 9 dialect per 10,000 can 29 author per 10,000 14 dialect per 10,000 up 29 author per 10,000 40 dialect per 10,000 will 29 author per 10,000 10 dialect per 10,000 my 29 author per 10,000 6 dialect per 10,000 sae 27 author per 10,000 16 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 9 dialect per 10,000 got 27 author per 10,000 11 dialect per 10,000 us 27 author per 10,000 15 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 4 dialect per 10,000 been 24 author per 10,000 18 dialect per 10,000 twa 24 author per 10,000 10 dialect per 10,000 them 22 author per 10,000 17 dialect per 10,000 this 22 author per 10,000 41 dialect per 10,000 made 22 author per 10,000 7 dialect per 10,000 was 22 author per 10,000 7 dialect per 10,000 richt 22 author per 10,000 12 dialect per 10,000 mair 22 author per 10,000 20 dialect per 10,000 days 22 author per 10,000 5 dialect per 10,000 see 22 author per 10,000 17 dialect per 10,000 far 20 author per 10,000 2 dialect per 10,000 get 20 author per 10,000 15 dialect per 10,000 gie 20 author per 10,000 7 dialect per 10,000 still 20 author per 10,000 8 dialect per 10,000 her 20 author per 10,000 46 dialect per 10,000 fit 20 author per 10,000 2 dialect per 10,000 lang 20 author per 10,000 10 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 but 20 author per 10,000 48 dialect per 10,000 some 20 author per 10,000 13 dialect per 10,000 wid 20 author per 10,000 8 dialect per 10,000 it's 20 author per 10,000 18 dialect per 10,000 kent 20 author per 10,000 6 dialect per 10,000 here 20 author per 10,000 12 dialect per 10,000 sometimes 17 author per 10,000 1 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 4 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 11 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 started 17 author per 10,000 1 dialect per 10,000 now 17 author per 10,000 1 dialect per 10,000 gang 17 author per 10,000 4 dialect per 10,000 gid 17 author per 10,000 1 dialect per 10,000 next 17 author per 10,000 3 dialect per 10,000 you 17 author per 10,000 15 dialect per 10,000 their 17 author per 10,000 19 dialect per 10,000 me 17 author per 10,000 40 dialect per 10,000 i 17 author per 10,000 40 dialect per 10,000 little 17 author per 10,000 1 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 come 17 author per 10,000 9 dialect per 10,000 seen 15 author per 10,000 6 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 0 dialect per 10,000 - 15 author per 10,000 27 dialect per 10,000 she 15 author per 10,000 56 dialect per 10,000 charlie 15 author per 10,000 0 dialect per 10,000 since 15 author per 10,000 2 dialect per 10,000 guid 15 author per 10,000 11 dialect per 10,000 nicht 15 author per 10,000 6 dialect per 10,000 fairm 15 author per 10,000 0 dialect per 10,000 maybe 15 author per 10,000 1 dialect per 10,000 syne 15 author per 10,000 6 dialect per 10,000 efter 15 author per 10,000 10 dialect per 10,000 never 15 author per 10,000 6 dialect per 10,000 by 15 author per 10,000 17 dialect per 10,000 if 15 author per 10,000 17 dialect per 10,000 only 12 author per 10,000 5 dialect per 10,000 wark 12 author per 10,000 3 dialect per 10,000 day 12 author per 10,000 14 dialect per 10,000 life 12 author per 10,000 7 dialect per 10,000 i'm 12 author per 10,000 4 dialect per 10,000 luck 12 author per 10,000 1 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 hope 12 author per 10,000 1 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 aboot 12 author per 10,000 29 dialect per 10,000 which 12 author per 10,000 5 dialect per 10,000 he's 12 author per 10,000 6 dialect per 10,000 then 12 author per 10,000 17 dialect per 10,000 loons 12 author per 10,000 0 dialect per 10,000 near 12 author per 10,000 3 dialect per 10,000 hairst 12 author per 10,000 0 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 5 dialect per 10,000 did 12 author per 10,000 9 dialect per 10,000 easy 12 author per 10,000 1 dialect per 10,000 think 12 author per 10,000 9 dialect per 10,000 een 12 author per 10,000 5 dialect per 10,000 fifty 12 author per 10,000 1 dialect per 10,000 look 12 author per 10,000 6 dialect per 10,000 its 12 author per 10,000 11 dialect per 10,000 dram 12 author per 10,000 0 dialect per 10,000 managed 12 author per 10,000 1 dialect per 10,000 sax 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 5 dialect per 10,000 fairmer 10 author per 10,000 0 dialect per 10,000 all 10 author per 10,000 2 dialect per 10,000 again 10 author per 10,000 9 dialect per 10,000 vet 10 author per 10,000 0 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 1 dialect per 10,000 we'll 10 author per 10,000 2 dialect per 10,000 buy 10 author per 10,000 1 dialect per 10,000 dinna 10 author per 10,000 4 dialect per 10,000 sic 10 author per 10,000 5 dialect per 10,000 we're 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 keep 10 author per 10,000 5 dialect per 10,000 ilka 10 author per 10,000 4 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 3 dialect per 10,000 hear 10 author per 10,000 4 dialect per 10,000 auld 10 author per 10,000 14 dialect per 10,000 every 10 author per 10,000 3 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 1 dialect per 10,000 hard 10 author per 10,000 2 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 4 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 1 dialect per 10,000 hiv 10 author per 10,000 2 dialect per 10,000 fine 10 author per 10,000 3 dialect per 10,000 han' 10 author per 10,000 0 dialect per 10,000 fairly 10 author per 10,000 0 dialect per 10,000 wrang 10 author per 10,000 3 dialect per 10,000 just 10 author per 10,000 4 dialect per 10,000 roon 10 author per 10,000 4 dialect per 10,000 lot 10 author per 10,000 2 dialect per 10,000 rest 10 author per 10,000 2 dialect per 10,000 last 10 author per 10,000 6 dialect per 10,000 better 10 author per 10,000 5 dialect per 10,000 aroon 10 author per 10,000 1 dialect per 10,000 aften 10 author per 10,000 1 dialect per 10,000 change 10 author per 10,000 0 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 3 dialect per 10,000 canna 10 author per 10,000 3 dialect per 10,000 coorse 10 author per 10,000 2 dialect per 10,000 afore 10 author per 10,000 10 dialect per 10,000 		Doric
the 449 author per 10,000 451 dialect per 10,000 a 380 author per 10,000 314 dialect per 10,000 an' 227 author per 10,000 2 dialect per 10,000 tae 207 author per 10,000 171 dialect per 10,000 bit 151 author per 10,000 43 dialect per 10,000 noo 144 author per 10,000 23 dialect per 10,000 in 141 author per 10,000 131 dialect per 10,000 we 127 author per 10,000 33 dialect per 10,000 wis 127 author per 10,000 104 dialect per 10,000 for 117 author per 10,000 45 dialect per 10,000 a' 100 author per 10,000 1 dialect per 10,000 it 98 author per 10,000 99 dialect per 10,000 nae 83 author per 10,000 50 dialect per 10,000 be 80 author per 10,000 45 dialect per 10,000 at 78 author per 10,000 67 dialect per 10,000 his 78 author per 10,000 69 dialect per 10,000 ye 68 author per 10,000 94 dialect per 10,000 on 68 author per 10,000 68 dialect per 10,000 so 66 author per 10,000 17 dialect per 10,000 is 61 author per 10,000 39 dialect per 10,000 an 61 author per 10,000 305 dialect per 10,000 o' 61 author per 10,000 5 dialect per 10,000 he 56 author per 10,000 97 dialect per 10,000 wi 54 author per 10,000 77 dialect per 10,000 mony 54 author per 10,000 4 dialect per 10,000 oor 51 author per 10,000 8 dialect per 10,000 that 49 author per 10,000 53 dialect per 10,000 as 49 author per 10,000 52 dialect per 10,000 fae 46 author per 10,000 30 dialect per 10,000 there 44 author per 10,000 22 dialect per 10,000 yer 44 author per 10,000 36 dialect per 10,000 wi' 41 author per 10,000 3 dialect per 10,000 hae 39 author per 10,000 20 dialect per 10,000 they 39 author per 10,000 36 dialect per 10,000 jist 39 author per 10,000 36 dialect per 10,000 fin 37 author per 10,000 19 dialect per 10,000 were 37 author per 10,000 13 dialect per 10,000 and 37 author per 10,000 42 dialect per 10,000 of 37 author per 10,000 8 dialect per 10,000 hid 34 author per 10,000 33 dialect per 10,000 oot 34 author per 10,000 50 dialect per 10,000 ' 34 author per 10,000 22 dialect per 10,000 back 34 author per 10,000 21 dialect per 10,000 sure 34 author per 10,000 4 dialect per 10,000 to 32 author per 10,000 8 dialect per 10,000 mart 32 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 22 dialect per 10,000 like 32 author per 10,000 37 dialect per 10,000 or 32 author per 10,000 26 dialect per 10,000 doon 29 author per 10,000 33 dialect per 10,000 £ 29 author per 10,000 1 dialect per 10,000 are 29 author per 10,000 14 dialect per 10,000 first 29 author per 10,000 7 dialect per 10,000 can 29 author per 10,000 12 dialect per 10,000 up 29 author per 10,000 47 dialect per 10,000 will 29 author per 10,000 9 dialect per 10,000 my 29 author per 10,000 11 dialect per 10,000 sae 27 author per 10,000 14 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 6 dialect per 10,000 got 27 author per 10,000 14 dialect per 10,000 us 27 author per 10,000 7 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 4 dialect per 10,000 been 24 author per 10,000 14 dialect per 10,000 twa 24 author per 10,000 18 dialect per 10,000 them 22 author per 10,000 23 dialect per 10,000 this 22 author per 10,000 19 dialect per 10,000 made 22 author per 10,000 8 dialect per 10,000 was 22 author per 10,000 10 dialect per 10,000 richt 22 author per 10,000 19 dialect per 10,000 mair 22 author per 10,000 17 dialect per 10,000 days 22 author per 10,000 5 dialect per 10,000 see 22 author per 10,000 21 dialect per 10,000 far 20 author per 10,000 14 dialect per 10,000 get 20 author per 10,000 16 dialect per 10,000 gie 20 author per 10,000 7 dialect per 10,000 still 20 author per 10,000 6 dialect per 10,000 her 20 author per 10,000 64 dialect per 10,000 fit 20 author per 10,000 40 dialect per 10,000 lang 20 author per 10,000 13 dialect per 10,000 time 20 author per 10,000 19 dialect per 10,000 but 20 author per 10,000 26 dialect per 10,000 some 20 author per 10,000 13 dialect per 10,000 wid 20 author per 10,000 18 dialect per 10,000 it's 20 author per 10,000 20 dialect per 10,000 kent 20 author per 10,000 8 dialect per 10,000 here 20 author per 10,000 11 dialect per 10,000 sometimes 17 author per 10,000 1 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 2 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 7 dialect per 10,000 show 17 author per 10,000 2 dialect per 10,000 started 17 author per 10,000 2 dialect per 10,000 now 17 author per 10,000 1 dialect per 10,000 gang 17 author per 10,000 3 dialect per 10,000 gid 17 author per 10,000 2 dialect per 10,000 next 17 author per 10,000 3 dialect per 10,000 you 17 author per 10,000 18 dialect per 10,000 their 17 author per 10,000 19 dialect per 10,000 me 17 author per 10,000 33 dialect per 10,000 i 17 author per 10,000 68 dialect per 10,000 little 17 author per 10,000 3 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 come 17 author per 10,000 13 dialect per 10,000 seen 15 author per 10,000 8 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 1 dialect per 10,000 - 15 author per 10,000 28 dialect per 10,000 she 15 author per 10,000 66 dialect per 10,000 charlie 15 author per 10,000 0 dialect per 10,000 since 15 author per 10,000 2 dialect per 10,000 guid 15 author per 10,000 4 dialect per 10,000 nicht 15 author per 10,000 12 dialect per 10,000 fairm 15 author per 10,000 1 dialect per 10,000 maybe 15 author per 10,000 1 dialect per 10,000 syne 15 author per 10,000 11 dialect per 10,000 efter 15 author per 10,000 10 dialect per 10,000 never 15 author per 10,000 2 dialect per 10,000 by 15 author per 10,000 9 dialect per 10,000 if 15 author per 10,000 16 dialect per 10,000 only 12 author per 10,000 6 dialect per 10,000 wark 12 author per 10,000 1 dialect per 10,000 day 12 author per 10,000 26 dialect per 10,000 life 12 author per 10,000 6 dialect per 10,000 i'm 12 author per 10,000 8 dialect per 10,000 luck 12 author per 10,000 1 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 hope 12 author per 10,000 2 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 1 dialect per 10,000 niver 12 author per 10,000 4 dialect per 10,000 aboot 12 author per 10,000 33 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 he's 12 author per 10,000 5 dialect per 10,000 then 12 author per 10,000 9 dialect per 10,000 loons 12 author per 10,000 2 dialect per 10,000 near 12 author per 10,000 6 dialect per 10,000 hairst 12 author per 10,000 1 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 5 dialect per 10,000 did 12 author per 10,000 10 dialect per 10,000 easy 12 author per 10,000 2 dialect per 10,000 think 12 author per 10,000 11 dialect per 10,000 een 12 author per 10,000 20 dialect per 10,000 fifty 12 author per 10,000 1 dialect per 10,000 look 12 author per 10,000 7 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 dram 12 author per 10,000 1 dialect per 10,000 managed 12 author per 10,000 1 dialect per 10,000 sax 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 7 dialect per 10,000 fairmer 10 author per 10,000 0 dialect per 10,000 all 10 author per 10,000 4 dialect per 10,000 again 10 author per 10,000 10 dialect per 10,000 vet 10 author per 10,000 0 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 2 dialect per 10,000 we'll 10 author per 10,000 1 dialect per 10,000 buy 10 author per 10,000 1 dialect per 10,000 dinna 10 author per 10,000 16 dialect per 10,000 sic 10 author per 10,000 5 dialect per 10,000 we're 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 3 dialect per 10,000 keep 10 author per 10,000 4 dialect per 10,000 ilka 10 author per 10,000 2 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 3 dialect per 10,000 hear 10 author per 10,000 4 dialect per 10,000 auld 10 author per 10,000 8 dialect per 10,000 every 10 author per 10,000 1 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 0 dialect per 10,000 hard 10 author per 10,000 3 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 3 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 1 dialect per 10,000 hiv 10 author per 10,000 9 dialect per 10,000 fine 10 author per 10,000 11 dialect per 10,000 han' 10 author per 10,000 0 dialect per 10,000 fairly 10 author per 10,000 1 dialect per 10,000 wrang 10 author per 10,000 3 dialect per 10,000 just 10 author per 10,000 1 dialect per 10,000 roon 10 author per 10,000 11 dialect per 10,000 lot 10 author per 10,000 3 dialect per 10,000 rest 10 author per 10,000 2 dialect per 10,000 last 10 author per 10,000 5 dialect per 10,000 better 10 author per 10,000 6 dialect per 10,000 aroon 10 author per 10,000 4 dialect per 10,000 aften 10 author per 10,000 1 dialect per 10,000 change 10 author per 10,000 1 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 canna 10 author per 10,000 7 dialect per 10,000 coorse 10 author per 10,000 4 dialect per 10,000 afore 10 author per 10,000 14 dialect per 10,000
Shetland
the 449 author per 10,000 18 dialect per 10,000 a 380 author per 10,000 280 dialect per 10,000 an' 227 author per 10,000 1 dialect per 10,000 tae 207 author per 10,000 86 dialect per 10,000 bit 151 author per 10,000 38 dialect per 10,000 noo 144 author per 10,000 19 dialect per 10,000 in 141 author per 10,000 105 dialect per 10,000 we 127 author per 10,000 44 dialect per 10,000 wis 127 author per 10,000 162 dialect per 10,000 for 117 author per 10,000 35 dialect per 10,000 a' 100 author per 10,000 0 dialect per 10,000 it 98 author per 10,000 58 dialect per 10,000 nae 83 author per 10,000 23 dialect per 10,000 be 80 author per 10,000 56 dialect per 10,000 at 78 author per 10,000 112 dialect per 10,000 his 78 author per 10,000 52 dialect per 10,000 ye 68 author per 10,000 0 dialect per 10,000 on 68 author per 10,000 52 dialect per 10,000 so 66 author per 10,000 26 dialect per 10,000 is 61 author per 10,000 81 dialect per 10,000 an 61 author per 10,000 330 dialect per 10,000 o' 61 author per 10,000 0 dialect per 10,000 he 56 author per 10,000 103 dialect per 10,000 wi 54 author per 10,000 95 dialect per 10,000 mony 54 author per 10,000 4 dialect per 10,000 oor 51 author per 10,000 1 dialect per 10,000 that 49 author per 10,000 4 dialect per 10,000 as 49 author per 10,000 79 dialect per 10,000 fae 46 author per 10,000 40 dialect per 10,000 there 44 author per 10,000 1 dialect per 10,000 yer 44 author per 10,000 0 dialect per 10,000 wi' 41 author per 10,000 0 dialect per 10,000 hae 39 author per 10,000 25 dialect per 10,000 they 39 author per 10,000 2 dialect per 10,000 jist 39 author per 10,000 0 dialect per 10,000 fin 37 author per 10,000 7 dialect per 10,000 were 37 author per 10,000 3 dialect per 10,000 and 37 author per 10,000 15 dialect per 10,000 of 37 author per 10,000 11 dialect per 10,000 hid 34 author per 10,000 1 dialect per 10,000 oot 34 author per 10,000 42 dialect per 10,000 ' 34 author per 10,000 23 dialect per 10,000 back 34 author per 10,000 18 dialect per 10,000 sure 34 author per 10,000 4 dialect per 10,000 to 32 author per 10,000 8 dialect per 10,000 mart 32 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 11 dialect per 10,000 like 32 author per 10,000 2 dialect per 10,000 or 32 author per 10,000 32 dialect per 10,000 doon 29 author per 10,000 22 dialect per 10,000 £ 29 author per 10,000 0 dialect per 10,000 are 29 author per 10,000 2 dialect per 10,000 first 29 author per 10,000 10 dialect per 10,000 can 29 author per 10,000 20 dialect per 10,000 up 29 author per 10,000 42 dialect per 10,000 will 29 author per 10,000 9 dialect per 10,000 my 29 author per 10,000 23 dialect per 10,000 sae 27 author per 10,000 8 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 10 dialect per 10,000 got 27 author per 10,000 8 dialect per 10,000 us 27 author per 10,000 0 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 6 dialect per 10,000 been 24 author per 10,000 16 dialect per 10,000 twa 24 author per 10,000 13 dialect per 10,000 them 22 author per 10,000 1 dialect per 10,000 this 22 author per 10,000 1 dialect per 10,000 made 22 author per 10,000 1 dialect per 10,000 was 22 author per 10,000 3 dialect per 10,000 richt 22 author per 10,000 13 dialect per 10,000 mair 22 author per 10,000 19 dialect per 10,000 days 22 author per 10,000 3 dialect per 10,000 see 22 author per 10,000 20 dialect per 10,000 far 20 author per 10,000 5 dialect per 10,000 get 20 author per 10,000 6 dialect per 10,000 gie 20 author per 10,000 9 dialect per 10,000 still 20 author per 10,000 9 dialect per 10,000 her 20 author per 10,000 64 dialect per 10,000 fit 20 author per 10,000 4 dialect per 10,000 lang 20 author per 10,000 11 dialect per 10,000 time 20 author per 10,000 21 dialect per 10,000 but 20 author per 10,000 29 dialect per 10,000 some 20 author per 10,000 13 dialect per 10,000 wid 20 author per 10,000 38 dialect per 10,000 it's 20 author per 10,000 8 dialect per 10,000 kent 20 author per 10,000 10 dialect per 10,000 here 20 author per 10,000 11 dialect per 10,000 sometimes 17 author per 10,000 1 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 3 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 17 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 started 17 author per 10,000 1 dialect per 10,000 now 17 author per 10,000 1 dialect per 10,000 gang 17 author per 10,000 1 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 1 dialect per 10,000 you 17 author per 10,000 51 dialect per 10,000 their 17 author per 10,000 1 dialect per 10,000 me 17 author per 10,000 41 dialect per 10,000 i 17 author per 10,000 143 dialect per 10,000 little 17 author per 10,000 2 dialect per 10,000 your 17 author per 10,000 9 dialect per 10,000 come 17 author per 10,000 19 dialect per 10,000 seen 15 author per 10,000 6 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 1 dialect per 10,000 - 15 author per 10,000 53 dialect per 10,000 she 15 author per 10,000 7 dialect per 10,000 charlie 15 author per 10,000 0 dialect per 10,000 since 15 author per 10,000 1 dialect per 10,000 guid 15 author per 10,000 12 dialect per 10,000 nicht 15 author per 10,000 3 dialect per 10,000 fairm 15 author per 10,000 0 dialect per 10,000 maybe 15 author per 10,000 4 dialect per 10,000 syne 15 author per 10,000 1 dialect per 10,000 efter 15 author per 10,000 9 dialect per 10,000 never 15 author per 10,000 7 dialect per 10,000 by 15 author per 10,000 7 dialect per 10,000 if 15 author per 10,000 25 dialect per 10,000 only 12 author per 10,000 5 dialect per 10,000 wark 12 author per 10,000 3 dialect per 10,000 day 12 author per 10,000 18 dialect per 10,000 life 12 author per 10,000 7 dialect per 10,000 i'm 12 author per 10,000 2 dialect per 10,000 luck 12 author per 10,000 1 dialect per 10,000 same 12 author per 10,000 0 dialect per 10,000 hope 12 author per 10,000 0 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 aboot 12 author per 10,000 41 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 he's 12 author per 10,000 6 dialect per 10,000 then 12 author per 10,000 1 dialect per 10,000 loons 12 author per 10,000 0 dialect per 10,000 near 12 author per 10,000 2 dialect per 10,000 hairst 12 author per 10,000 2 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 5 dialect per 10,000 did 12 author per 10,000 9 dialect per 10,000 easy 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 1 dialect per 10,000 een 12 author per 10,000 20 dialect per 10,000 fifty 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 6 dialect per 10,000 its 12 author per 10,000 3 dialect per 10,000 dram 12 author per 10,000 0 dialect per 10,000 managed 12 author per 10,000 1 dialect per 10,000 sax 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 7 dialect per 10,000 fairmer 10 author per 10,000 0 dialect per 10,000 all 10 author per 10,000 3 dialect per 10,000 again 10 author per 10,000 5 dialect per 10,000 vet 10 author per 10,000 1 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 0 dialect per 10,000 we'll 10 author per 10,000 3 dialect per 10,000 buy 10 author per 10,000 1 dialect per 10,000 dinna 10 author per 10,000 0 dialect per 10,000 sic 10 author per 10,000 3 dialect per 10,000 we're 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 3 dialect per 10,000 keep 10 author per 10,000 5 dialect per 10,000 ilka 10 author per 10,000 0 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 4 dialect per 10,000 hear 10 author per 10,000 4 dialect per 10,000 auld 10 author per 10,000 1 dialect per 10,000 every 10 author per 10,000 5 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 3 dialect per 10,000 hard 10 author per 10,000 2 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 8 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 0 dialect per 10,000 hiv 10 author per 10,000 1 dialect per 10,000 fine 10 author per 10,000 7 dialect per 10,000 han' 10 author per 10,000 0 dialect per 10,000 fairly 10 author per 10,000 4 dialect per 10,000 wrang 10 author per 10,000 3 dialect per 10,000 just 10 author per 10,000 10 dialect per 10,000 roon 10 author per 10,000 0 dialect per 10,000 lot 10 author per 10,000 1 dialect per 10,000 rest 10 author per 10,000 3 dialect per 10,000 last 10 author per 10,000 6 dialect per 10,000 better 10 author per 10,000 7 dialect per 10,000 aroon 10 author per 10,000 1 dialect per 10,000 aften 10 author per 10,000 1 dialect per 10,000 change 10 author per 10,000 1 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 canna 10 author per 10,000 8 dialect per 10,000 coorse 10 author per 10,000 5 dialect per 10,000 afore 10 author per 10,000 15 dialect per 10,000 		Orkney
the 449 author per 10,000 582 dialect per 10,000 a 380 author per 10,000 298 dialect per 10,000 an' 227 author per 10,000 0 dialect per 10,000 tae 207 author per 10,000 223 dialect per 10,000 bit 151 author per 10,000 48 dialect per 10,000 noo 144 author per 10,000 27 dialect per 10,000 in 141 author per 10,000 146 dialect per 10,000 we 127 author per 10,000 29 dialect per 10,000 wis 127 author per 10,000 80 dialect per 10,000 for 117 author per 10,000 26 dialect per 10,000 a' 100 author per 10,000 0 dialect per 10,000 it 98 author per 10,000 23 dialect per 10,000 nae 83 author per 10,000 3 dialect per 10,000 be 80 author per 10,000 42 dialect per 10,000 at 78 author per 10,000 54 dialect per 10,000 his 78 author per 10,000 61 dialect per 10,000 ye 68 author per 10,000 17 dialect per 10,000 on 68 author per 10,000 73 dialect per 10,000 so 66 author per 10,000 30 dialect per 10,000 is 61 author per 10,000 71 dialect per 10,000 an 61 author per 10,000 172 dialect per 10,000 o' 61 author per 10,000 6 dialect per 10,000 he 56 author per 10,000 85 dialect per 10,000 wi 54 author per 10,000 46 dialect per 10,000 mony 54 author per 10,000 1 dialect per 10,000 oor 51 author per 10,000 2 dialect per 10,000 that 49 author per 10,000 75 dialect per 10,000 as 49 author per 10,000 48 dialect per 10,000 fae 46 author per 10,000 39 dialect per 10,000 there 44 author per 10,000 18 dialect per 10,000 yer 44 author per 10,000 7 dialect per 10,000 wi' 41 author per 10,000 0 dialect per 10,000 hae 39 author per 10,000 11 dialect per 10,000 they 39 author per 10,000 37 dialect per 10,000 jist 39 author per 10,000 3 dialect per 10,000 fin 37 author per 10,000 0 dialect per 10,000 were 37 author per 10,000 6 dialect per 10,000 and 37 author per 10,000 199 dialect per 10,000 of 37 author per 10,000 6 dialect per 10,000 hid 34 author per 10,000 91 dialect per 10,000 oot 34 author per 10,000 50 dialect per 10,000 ' 34 author per 10,000 10 dialect per 10,000 back 34 author per 10,000 26 dialect per 10,000 sure 34 author per 10,000 5 dialect per 10,000 to 32 author per 10,000 8 dialect per 10,000 mart 32 author per 10,000 1 dialect per 10,000 aye 32 author per 10,000 9 dialect per 10,000 like 32 author per 10,000 31 dialect per 10,000 or 32 author per 10,000 30 dialect per 10,000 doon 29 author per 10,000 28 dialect per 10,000 £ 29 author per 10,000 0 dialect per 10,000 are 29 author per 10,000 14 dialect per 10,000 first 29 author per 10,000 7 dialect per 10,000 can 29 author per 10,000 13 dialect per 10,000 up 29 author per 10,000 34 dialect per 10,000 will 29 author per 10,000 12 dialect per 10,000 my 29 author per 10,000 5 dialect per 10,000 sae 27 author per 10,000 1 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 6 dialect per 10,000 got 27 author per 10,000 11 dialect per 10,000 us 27 author per 10,000 6 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 6 dialect per 10,000 been 24 author per 10,000 18 dialect per 10,000 twa 24 author per 10,000 10 dialect per 10,000 them 22 author per 10,000 18 dialect per 10,000 this 22 author per 10,000 34 dialect per 10,000 made 22 author per 10,000 3 dialect per 10,000 was 22 author per 10,000 2 dialect per 10,000 richt 22 author per 10,000 0 dialect per 10,000 mair 22 author per 10,000 1 dialect per 10,000 days 22 author per 10,000 5 dialect per 10,000 see 22 author per 10,000 17 dialect per 10,000 far 20 author per 10,000 4 dialect per 10,000 get 20 author per 10,000 9 dialect per 10,000 gie 20 author per 10,000 2 dialect per 10,000 still 20 author per 10,000 12 dialect per 10,000 her 20 author per 10,000 49 dialect per 10,000 fit 20 author per 10,000 1 dialect per 10,000 lang 20 author per 10,000 1 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 but 20 author per 10,000 28 dialect per 10,000 some 20 author per 10,000 17 dialect per 10,000 wid 20 author per 10,000 20 dialect per 10,000 it's 20 author per 10,000 4 dialect per 10,000 kent 20 author per 10,000 6 dialect per 10,000 here 20 author per 10,000 12 dialect per 10,000 sometimes 17 author per 10,000 1 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 1 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 12 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 started 17 author per 10,000 2 dialect per 10,000 now 17 author per 10,000 0 dialect per 10,000 gang 17 author per 10,000 2 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 4 dialect per 10,000 you 17 author per 10,000 35 dialect per 10,000 their 17 author per 10,000 8 dialect per 10,000 me 17 author per 10,000 115 dialect per 10,000 i 17 author per 10,000 158 dialect per 10,000 little 17 author per 10,000 1 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 come 17 author per 10,000 11 dialect per 10,000 seen 15 author per 10,000 6 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 2 dialect per 10,000 - 15 author per 10,000 76 dialect per 10,000 she 15 author per 10,000 9 dialect per 10,000 charlie 15 author per 10,000 2 dialect per 10,000 since 15 author per 10,000 3 dialect per 10,000 guid 15 author per 10,000 2 dialect per 10,000 nicht 15 author per 10,000 0 dialect per 10,000 fairm 15 author per 10,000 0 dialect per 10,000 maybe 15 author per 10,000 0 dialect per 10,000 syne 15 author per 10,000 0 dialect per 10,000 efter 15 author per 10,000 6 dialect per 10,000 never 15 author per 10,000 3 dialect per 10,000 by 15 author per 10,000 16 dialect per 10,000 if 15 author per 10,000 15 dialect per 10,000 only 12 author per 10,000 7 dialect per 10,000 wark 12 author per 10,000 6 dialect per 10,000 day 12 author per 10,000 20 dialect per 10,000 life 12 author per 10,000 7 dialect per 10,000 i'm 12 author per 10,000 1 dialect per 10,000 luck 12 author per 10,000 1 dialect per 10,000 same 12 author per 10,000 3 dialect per 10,000 hope 12 author per 10,000 2 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 2 dialect per 10,000 aboot 12 author per 10,000 26 dialect per 10,000 which 12 author per 10,000 1 dialect per 10,000 he's 12 author per 10,000 10 dialect per 10,000 then 12 author per 10,000 18 dialect per 10,000 loons 12 author per 10,000 0 dialect per 10,000 near 12 author per 10,000 5 dialect per 10,000 hairst 12 author per 10,000 1 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 1 dialect per 10,000 did 12 author per 10,000 8 dialect per 10,000 easy 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 10 dialect per 10,000 een 12 author per 10,000 4 dialect per 10,000 fifty 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 its 12 author per 10,000 2 dialect per 10,000 dram 12 author per 10,000 1 dialect per 10,000 managed 12 author per 10,000 1 dialect per 10,000 sax 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 4 dialect per 10,000 fairmer 10 author per 10,000 0 dialect per 10,000 all 10 author per 10,000 6 dialect per 10,000 again 10 author per 10,000 12 dialect per 10,000 vet 10 author per 10,000 0 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 1 dialect per 10,000 we'll 10 author per 10,000 3 dialect per 10,000 buy 10 author per 10,000 1 dialect per 10,000 dinna 10 author per 10,000 4 dialect per 10,000 sic 10 author per 10,000 1 dialect per 10,000 we're 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 keep 10 author per 10,000 7 dialect per 10,000 ilka 10 author per 10,000 0 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 2 dialect per 10,000 hear 10 author per 10,000 4 dialect per 10,000 auld 10 author per 10,000 1 dialect per 10,000 every 10 author per 10,000 4 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 2 dialect per 10,000 hard 10 author per 10,000 3 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 5 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 1 dialect per 10,000 hiv 10 author per 10,000 13 dialect per 10,000 fine 10 author per 10,000 7 dialect per 10,000 han' 10 author per 10,000 0 dialect per 10,000 fairly 10 author per 10,000 2 dialect per 10,000 wrang 10 author per 10,000 0 dialect per 10,000 just 10 author per 10,000 2 dialect per 10,000 roon 10 author per 10,000 2 dialect per 10,000 lot 10 author per 10,000 3 dialect per 10,000 rest 10 author per 10,000 3 dialect per 10,000 last 10 author per 10,000 8 dialect per 10,000 better 10 author per 10,000 6 dialect per 10,000 aroon 10 author per 10,000 2 dialect per 10,000 aften 10 author per 10,000 0 dialect per 10,000 change 10 author per 10,000 2 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 4 dialect per 10,000 canna 10 author per 10,000 3 dialect per 10,000 coorse 10 author per 10,000 3 dialect per 10,000 afore 10 author per 10,000 12 dialect per 10,000
Southern
the 449 author per 10,000 449 dialect per 10,000 a 380 author per 10,000 230 dialect per 10,000 an' 227 author per 10,000 1 dialect per 10,000 tae 207 author per 10,000 206 dialect per 10,000 bit 151 author per 10,000 14 dialect per 10,000 noo 144 author per 10,000 16 dialect per 10,000 in 141 author per 10,000 107 dialect per 10,000 we 127 author per 10,000 10 dialect per 10,000 wis 127 author per 10,000 54 dialect per 10,000 for 117 author per 10,000 22 dialect per 10,000 a' 100 author per 10,000 9 dialect per 10,000 it 98 author per 10,000 63 dialect per 10,000 nae 83 author per 10,000 25 dialect per 10,000 be 80 author per 10,000 13 dialect per 10,000 at 78 author per 10,000 69 dialect per 10,000 his 78 author per 10,000 37 dialect per 10,000 ye 68 author per 10,000 21 dialect per 10,000 on 68 author per 10,000 55 dialect per 10,000 so 66 author per 10,000 3 dialect per 10,000 is 61 author per 10,000 62 dialect per 10,000 an 61 author per 10,000 289 dialect per 10,000 o' 61 author per 10,000 14 dialect per 10,000 he 56 author per 10,000 12 dialect per 10,000 wi 54 author per 10,000 66 dialect per 10,000 mony 54 author per 10,000 3 dialect per 10,000 oor 51 author per 10,000 11 dialect per 10,000 that 49 author per 10,000 65 dialect per 10,000 as 49 author per 10,000 50 dialect per 10,000 fae 46 author per 10,000 0 dialect per 10,000 there 44 author per 10,000 16 dialect per 10,000 yer 44 author per 10,000 17 dialect per 10,000 wi' 41 author per 10,000 5 dialect per 10,000 hae 39 author per 10,000 35 dialect per 10,000 they 39 author per 10,000 31 dialect per 10,000 jist 39 author per 10,000 11 dialect per 10,000 fin 37 author per 10,000 1 dialect per 10,000 were 37 author per 10,000 15 dialect per 10,000 and 37 author per 10,000 33 dialect per 10,000 of 37 author per 10,000 10 dialect per 10,000 hid 34 author per 10,000 0 dialect per 10,000 oot 34 author per 10,000 34 dialect per 10,000 ' 34 author per 10,000 6 dialect per 10,000 back 34 author per 10,000 19 dialect per 10,000 sure 34 author per 10,000 1 dialect per 10,000 to 32 author per 10,000 1 dialect per 10,000 mart 32 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 11 dialect per 10,000 like 32 author per 10,000 8 dialect per 10,000 or 32 author per 10,000 22 dialect per 10,000 doon 29 author per 10,000 24 dialect per 10,000 £ 29 author per 10,000 0 dialect per 10,000 are 29 author per 10,000 9 dialect per 10,000 first 29 author per 10,000 2 dialect per 10,000 can 29 author per 10,000 10 dialect per 10,000 up 29 author per 10,000 41 dialect per 10,000 will 29 author per 10,000 3 dialect per 10,000 my 29 author per 10,000 1 dialect per 10,000 sae 27 author per 10,000 28 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 5 dialect per 10,000 got 27 author per 10,000 10 dialect per 10,000 us 27 author per 10,000 5 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 4 dialect per 10,000 been 24 author per 10,000 10 dialect per 10,000 twa 24 author per 10,000 2 dialect per 10,000 them 22 author per 10,000 5 dialect per 10,000 this 22 author per 10,000 35 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 was 22 author per 10,000 58 dialect per 10,000 richt 22 author per 10,000 18 dialect per 10,000 mair 22 author per 10,000 16 dialect per 10,000 days 22 author per 10,000 7 dialect per 10,000 see 22 author per 10,000 5 dialect per 10,000 far 20 author per 10,000 2 dialect per 10,000 get 20 author per 10,000 10 dialect per 10,000 gie 20 author per 10,000 14 dialect per 10,000 still 20 author per 10,000 7 dialect per 10,000 her 20 author per 10,000 17 dialect per 10,000 fit 20 author per 10,000 5 dialect per 10,000 lang 20 author per 10,000 12 dialect per 10,000 time 20 author per 10,000 14 dialect per 10,000 but 20 author per 10,000 42 dialect per 10,000 some 20 author per 10,000 12 dialect per 10,000 wid 20 author per 10,000 1 dialect per 10,000 it's 20 author per 10,000 8 dialect per 10,000 kent 20 author per 10,000 11 dialect per 10,000 here 20 author per 10,000 13 dialect per 10,000 sometimes 17 author per 10,000 1 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 2 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 7 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 started 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 2 dialect per 10,000 gang 17 author per 10,000 3 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 5 dialect per 10,000 you 17 author per 10,000 3 dialect per 10,000 their 17 author per 10,000 14 dialect per 10,000 me 17 author per 10,000 16 dialect per 10,000 i 17 author per 10,000 74 dialect per 10,000 little 17 author per 10,000 1 dialect per 10,000 your 17 author per 10,000 1 dialect per 10,000 come 17 author per 10,000 9 dialect per 10,000 seen 15 author per 10,000 5 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 0 dialect per 10,000 - 15 author per 10,000 29 dialect per 10,000 she 15 author per 10,000 91 dialect per 10,000 charlie 15 author per 10,000 0 dialect per 10,000 since 15 author per 10,000 1 dialect per 10,000 guid 15 author per 10,000 14 dialect per 10,000 nicht 15 author per 10,000 8 dialect per 10,000 fairm 15 author per 10,000 0 dialect per 10,000 maybe 15 author per 10,000 1 dialect per 10,000 syne 15 author per 10,000 5 dialect per 10,000 efter 15 author per 10,000 13 dialect per 10,000 never 15 author per 10,000 5 dialect per 10,000 by 15 author per 10,000 5 dialect per 10,000 if 15 author per 10,000 17 dialect per 10,000 only 12 author per 10,000 7 dialect per 10,000 wark 12 author per 10,000 1 dialect per 10,000 day 12 author per 10,000 17 dialect per 10,000 life 12 author per 10,000 6 dialect per 10,000 i'm 12 author per 10,000 1 dialect per 10,000 luck 12 author per 10,000 0 dialect per 10,000 same 12 author per 10,000 6 dialect per 10,000 hope 12 author per 10,000 4 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 1 dialect per 10,000 aboot 12 author per 10,000 29 dialect per 10,000 which 12 author per 10,000 8 dialect per 10,000 he's 12 author per 10,000 1 dialect per 10,000 then 12 author per 10,000 17 dialect per 10,000 loons 12 author per 10,000 0 dialect per 10,000 near 12 author per 10,000 5 dialect per 10,000 hairst 12 author per 10,000 0 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 8 dialect per 10,000 did 12 author per 10,000 11 dialect per 10,000 easy 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 7 dialect per 10,000 een 12 author per 10,000 2 dialect per 10,000 fifty 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 4 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 dram 12 author per 10,000 0 dialect per 10,000 managed 12 author per 10,000 1 dialect per 10,000 sax 12 author per 10,000 0 dialect per 10,000 telt 12 author per 10,000 5 dialect per 10,000 fairmer 10 author per 10,000 0 dialect per 10,000 all 10 author per 10,000 0 dialect per 10,000 again 10 author per 10,000 2 dialect per 10,000 vet 10 author per 10,000 0 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 2 dialect per 10,000 we'll 10 author per 10,000 1 dialect per 10,000 buy 10 author per 10,000 0 dialect per 10,000 dinna 10 author per 10,000 2 dialect per 10,000 sic 10 author per 10,000 10 dialect per 10,000 we're 10 author per 10,000 1 dialect per 10,000 fower 10 author per 10,000 1 dialect per 10,000 keep 10 author per 10,000 3 dialect per 10,000 ilka 10 author per 10,000 3 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 2 dialect per 10,000 hear 10 author per 10,000 5 dialect per 10,000 auld 10 author per 10,000 22 dialect per 10,000 every 10 author per 10,000 2 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 2 dialect per 10,000 hard 10 author per 10,000 2 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 4 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 1 dialect per 10,000 hiv 10 author per 10,000 0 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 han' 10 author per 10,000 0 dialect per 10,000 fairly 10 author per 10,000 0 dialect per 10,000 wrang 10 author per 10,000 1 dialect per 10,000 just 10 author per 10,000 3 dialect per 10,000 roon 10 author per 10,000 2 dialect per 10,000 lot 10 author per 10,000 2 dialect per 10,000 rest 10 author per 10,000 3 dialect per 10,000 last 10 author per 10,000 5 dialect per 10,000 better 10 author per 10,000 4 dialect per 10,000 aroon 10 author per 10,000 0 dialect per 10,000 aften 10 author per 10,000 1 dialect per 10,000 change 10 author per 10,000 0 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 0 dialect per 10,000 canna 10 author per 10,000 2 dialect per 10,000 coorse 10 author per 10,000 2 dialect per 10,000 afore 10 author per 10,000 16 dialect per 10,000 		Ulster
the 449 author per 10,000 345 dialect per 10,000 a 380 author per 10,000 287 dialect per 10,000 an' 227 author per 10,000 57 dialect per 10,000 tae 207 author per 10,000 253 dialect per 10,000 bit 151 author per 10,000 10 dialect per 10,000 noo 144 author per 10,000 22 dialect per 10,000 in 141 author per 10,000 121 dialect per 10,000 we 127 author per 10,000 18 dialect per 10,000 wis 127 author per 10,000 1 dialect per 10,000 for 117 author per 10,000 30 dialect per 10,000 a' 100 author per 10,000 2 dialect per 10,000 it 98 author per 10,000 73 dialect per 10,000 nae 83 author per 10,000 22 dialect per 10,000 be 80 author per 10,000 39 dialect per 10,000 at 78 author per 10,000 58 dialect per 10,000 his 78 author per 10,000 25 dialect per 10,000 ye 68 author per 10,000 79 dialect per 10,000 on 68 author per 10,000 57 dialect per 10,000 so 66 author per 10,000 5 dialect per 10,000 is 61 author per 10,000 18 dialect per 10,000 an 61 author per 10,000 358 dialect per 10,000 o' 61 author per 10,000 57 dialect per 10,000 he 56 author per 10,000 62 dialect per 10,000 wi 54 author per 10,000 63 dialect per 10,000 mony 54 author per 10,000 1 dialect per 10,000 oor 51 author per 10,000 15 dialect per 10,000 that 49 author per 10,000 71 dialect per 10,000 as 49 author per 10,000 31 dialect per 10,000 fae 46 author per 10,000 13 dialect per 10,000 there 44 author per 10,000 8 dialect per 10,000 yer 44 author per 10,000 37 dialect per 10,000 wi' 41 author per 10,000 14 dialect per 10,000 hae 39 author per 10,000 55 dialect per 10,000 they 39 author per 10,000 26 dialect per 10,000 jist 39 author per 10,000 8 dialect per 10,000 fin 37 author per 10,000 4 dialect per 10,000 were 37 author per 10,000 4 dialect per 10,000 and 37 author per 10,000 10 dialect per 10,000 of 37 author per 10,000 2 dialect per 10,000 hid 34 author per 10,000 0 dialect per 10,000 oot 34 author per 10,000 49 dialect per 10,000 ' 34 author per 10,000 12 dialect per 10,000 back 34 author per 10,000 2 dialect per 10,000 sure 34 author per 10,000 4 dialect per 10,000 to 32 author per 10,000 3 dialect per 10,000 mart 32 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 13 dialect per 10,000 like 32 author per 10,000 9 dialect per 10,000 or 32 author per 10,000 33 dialect per 10,000 doon 29 author per 10,000 28 dialect per 10,000 £ 29 author per 10,000 1 dialect per 10,000 are 29 author per 10,000 4 dialect per 10,000 first 29 author per 10,000 2 dialect per 10,000 can 29 author per 10,000 15 dialect per 10,000 up 29 author per 10,000 32 dialect per 10,000 will 29 author per 10,000 2 dialect per 10,000 my 29 author per 10,000 2 dialect per 10,000 sae 27 author per 10,000 25 dialect per 10,000 huntly 27 author per 10,000 0 dialect per 10,000 even 27 author per 10,000 4 dialect per 10,000 got 27 author per 10,000 9 dialect per 10,000 us 27 author per 10,000 4 dialect per 10,000 'ear 24 author per 10,000 0 dialect per 10,000 best 24 author per 10,000 3 dialect per 10,000 been 24 author per 10,000 2 dialect per 10,000 twa 24 author per 10,000 11 dialect per 10,000 them 22 author per 10,000 8 dialect per 10,000 this 22 author per 10,000 27 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 was 22 author per 10,000 22 dialect per 10,000 richt 22 author per 10,000 13 dialect per 10,000 mair 22 author per 10,000 27 dialect per 10,000 days 22 author per 10,000 5 dialect per 10,000 see 22 author per 10,000 16 dialect per 10,000 far 20 author per 10,000 5 dialect per 10,000 get 20 author per 10,000 9 dialect per 10,000 gie 20 author per 10,000 16 dialect per 10,000 still 20 author per 10,000 4 dialect per 10,000 her 20 author per 10,000 8 dialect per 10,000 fit 20 author per 10,000 4 dialect per 10,000 lang 20 author per 10,000 12 dialect per 10,000 time 20 author per 10,000 13 dialect per 10,000 but 20 author per 10,000 41 dialect per 10,000 some 20 author per 10,000 7 dialect per 10,000 wid 20 author per 10,000 1 dialect per 10,000 it's 20 author per 10,000 14 dialect per 10,000 kent 20 author per 10,000 1 dialect per 10,000 here 20 author per 10,000 10 dialect per 10,000 sometimes 17 author per 10,000 0 dialect per 10,000 poun' 17 author per 10,000 0 dialect per 10,000 has 17 author per 10,000 1 dialect per 10,000 colin 17 author per 10,000 0 dialect per 10,000 man 17 author per 10,000 17 dialect per 10,000 show 17 author per 10,000 2 dialect per 10,000 started 17 author per 10,000 0 dialect per 10,000 now 17 author per 10,000 0 dialect per 10,000 gang 17 author per 10,000 3 dialect per 10,000 gid 17 author per 10,000 0 dialect per 10,000 next 17 author per 10,000 0 dialect per 10,000 you 17 author per 10,000 5 dialect per 10,000 their 17 author per 10,000 5 dialect per 10,000 me 17 author per 10,000 24 dialect per 10,000 i 17 author per 10,000 16 dialect per 10,000 little 17 author per 10,000 2 dialect per 10,000 your 17 author per 10,000 1 dialect per 10,000 come 17 author per 10,000 10 dialect per 10,000 seen 15 author per 10,000 4 dialect per 10,000 keith 15 author per 10,000 0 dialect per 10,000 quid 15 author per 10,000 0 dialect per 10,000 coo 15 author per 10,000 1 dialect per 10,000 - 15 author per 10,000 25 dialect per 10,000 she 15 author per 10,000 31 dialect per 10,000 charlie 15 author per 10,000 0 dialect per 10,000 since 15 author per 10,000 1 dialect per 10,000 guid 15 author per 10,000 17 dialect per 10,000 nicht 15 author per 10,000 7 dialect per 10,000 fairm 15 author per 10,000 1 dialect per 10,000 maybe 15 author per 10,000 1 dialect per 10,000 syne 15 author per 10,000 1 dialect per 10,000 efter 15 author per 10,000 6 dialect per 10,000 never 15 author per 10,000 0 dialect per 10,000 by 15 author per 10,000 7 dialect per 10,000 if 15 author per 10,000 14 dialect per 10,000 only 12 author per 10,000 3 dialect per 10,000 wark 12 author per 10,000 3 dialect per 10,000 day 12 author per 10,000 15 dialect per 10,000 life 12 author per 10,000 5 dialect per 10,000 i'm 12 author per 10,000 2 dialect per 10,000 luck 12 author per 10,000 0 dialect per 10,000 same 12 author per 10,000 5 dialect per 10,000 hope 12 author per 10,000 1 dialect per 10,000 harold 12 author per 10,000 0 dialect per 10,000 rosie 12 author per 10,000 0 dialect per 10,000 niver 12 author per 10,000 9 dialect per 10,000 aboot 12 author per 10,000 27 dialect per 10,000 which 12 author per 10,000 0 dialect per 10,000 he's 12 author per 10,000 3 dialect per 10,000 then 12 author per 10,000 17 dialect per 10,000 loons 12 author per 10,000 0 dialect per 10,000 near 12 author per 10,000 4 dialect per 10,000 hairst 12 author per 10,000 0 dialect per 10,000 per 12 author per 10,000 0 dialect per 10,000 baith 12 author per 10,000 6 dialect per 10,000 did 12 author per 10,000 5 dialect per 10,000 easy 12 author per 10,000 1 dialect per 10,000 think 12 author per 10,000 7 dialect per 10,000 een 12 author per 10,000 8 dialect per 10,000 fifty 12 author per 10,000 0 dialect per 10,000 look 12 author per 10,000 1 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 dram 12 author per 10,000 0 dialect per 10,000 managed 12 author per 10,000 0 dialect per 10,000 sax 12 author per 10,000 1 dialect per 10,000 telt 12 author per 10,000 1 dialect per 10,000 fairmer 10 author per 10,000 1 dialect per 10,000 all 10 author per 10,000 3 dialect per 10,000 again 10 author per 10,000 3 dialect per 10,000 vet 10 author per 10,000 0 dialect per 10,000 cattle 10 author per 10,000 0 dialect per 10,000 guan 10 author per 10,000 0 dialect per 10,000 horse 10 author per 10,000 0 dialect per 10,000 we'll 10 author per 10,000 2 dialect per 10,000 buy 10 author per 10,000 0 dialect per 10,000 dinna 10 author per 10,000 0 dialect per 10,000 sic 10 author per 10,000 1 dialect per 10,000 we're 10 author per 10,000 1 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 keep 10 author per 10,000 3 dialect per 10,000 ilka 10 author per 10,000 2 dialect per 10,000 fairmin' 10 author per 10,000 0 dialect per 10,000 times 10 author per 10,000 3 dialect per 10,000 hear 10 author per 10,000 5 dialect per 10,000 auld 10 author per 10,000 1 dialect per 10,000 every 10 author per 10,000 0 dialect per 10,000 amon' 10 author per 10,000 0 dialect per 10,000 sheep 10 author per 10,000 1 dialect per 10,000 hard 10 author per 10,000 2 dialect per 10,000 today 10 author per 10,000 0 dialect per 10,000 what 10 author per 10,000 11 dialect per 10,000 water 10 author per 10,000 1 dialect per 10,000 early 10 author per 10,000 0 dialect per 10,000 hiv 10 author per 10,000 0 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 han' 10 author per 10,000 1 dialect per 10,000 fairly 10 author per 10,000 0 dialect per 10,000 wrang 10 author per 10,000 3 dialect per 10,000 just 10 author per 10,000 1 dialect per 10,000 roon 10 author per 10,000 10 dialect per 10,000 lot 10 author per 10,000 1 dialect per 10,000 rest 10 author per 10,000 2 dialect per 10,000 last 10 author per 10,000 4 dialect per 10,000 better 10 author per 10,000 2 dialect per 10,000 aroon 10 author per 10,000 3 dialect per 10,000 aften 10 author per 10,000 1 dialect per 10,000 change 10 author per 10,000 2 dialect per 10,000 beef 10 author per 10,000 0 dialect per 10,000 two 10 author per 10,000 1 dialect per 10,000 canna 10 author per 10,000 0 dialect per 10,000 coorse 10 author per 10,000 4 dialect per 10,000 afore 10 author per 10,000 12 dialect per 10,000