A Corpus of 21st Century Scots Texts

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McKillop, Roger


Total words by this author in corpus - 17,866
Total unique words used by this author in corpus - 3,983
Ratio of total words to unique words - 4.486
Top ten most common words - €™, the, a, tae, an, o, €, in, it, €™s,

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
€™ 840 author per 10,000 43 dialect per 10,000 the 473 author per 10,000 557 dialect per 10,000 a 387 author per 10,000 261 dialect per 10,000 tae 261 author per 10,000 212 dialect per 10,000 an 225 author per 10,000 217 dialect per 10,000 o 148 author per 10,000 192 dialect per 10,000 € 146 author per 10,000 29 dialect per 10,000 in 121 author per 10,000 148 dialect per 10,000 it 101 author per 10,000 119 dialect per 10,000 €™s 100 author per 10,000 35 dialect per 10,000 wis 93 author per 10,000 99 dialect per 10,000 we 93 author per 10,000 35 dialect per 10,000 he 78 author per 10,000 92 dialect per 10,000 ma 63 author per 10,000 51 dialect per 10,000 that 58 author per 10,000 110 dialect per 10,000 at 56 author per 10,000 58 dialect per 10,000 wi 55 author per 10,000 65 dialect per 10,000 as 54 author per 10,000 59 dialect per 10,000 his 52 author per 10,000 55 dialect per 10,000 oor 51 author per 10,000 16 dialect per 10,000 had 48 author per 10,000 24 dialect per 10,000 me 48 author per 10,000 41 dialect per 10,000 an' 47 author per 10,000 2 dialect per 10,000 aw 47 author per 10,000 41 dialect per 10,000 she 43 author per 10,000 57 dialect per 10,000 ye 40 author per 10,000 59 dialect per 10,000 her 40 author per 10,000 45 dialect per 10,000 when 39 author per 10,000 18 dialect per 10,000 this 39 author per 10,000 43 dialect per 10,000 you 39 author per 10,000 15 dialect per 10,000 frae 38 author per 10,000 15 dialect per 10,000 oan 37 author per 10,000 17 dialect per 10,000 fir 37 author per 10,000 6 dialect per 10,000 were 36 author per 10,000 16 dialect per 10,000 hae 35 author per 10,000 22 dialect per 10,000 oot 35 author per 10,000 39 dialect per 10,000 bit 33 author per 10,000 15 dialect per 10,000 they 33 author per 10,000 43 dialect per 10,000 us 32 author per 10,000 15 dialect per 10,000 be 32 author per 10,000 50 dialect per 10,000 their 31 author per 10,000 18 dialect per 10,000 no 31 author per 10,000 35 dialect per 10,000 for 30 author per 10,000 47 dialect per 10,000 your 30 author per 10,000 6 dialect per 10,000 them 30 author per 10,000 18 dialect per 10,000 up 27 author per 10,000 40 dialect per 10,000 there 27 author per 10,000 25 dialect per 10,000 €™d 27 author per 10,000 6 dialect per 10,000 back 26 author per 10,000 20 dialect per 10,000 him 26 author per 10,000 30 dialect per 10,000 on 26 author per 10,000 56 dialect per 10,000 doon 26 author per 10,000 17 dialect per 10,000 was 26 author per 10,000 7 dialect per 10,000 by 25 author per 10,000 16 dialect per 10,000 jist 23 author per 10,000 22 dialect per 10,000 sae 23 author per 10,000 15 dialect per 10,000 is 23 author per 10,000 61 dialect per 10,000 said 22 author per 10,000 44 dialect per 10,000 nae 22 author per 10,000 22 dialect per 10,000 i 21 author per 10,000 40 dialect per 10,000 yin 20 author per 10,000 8 dialect per 10,000 €™re 20 author per 10,000 4 dialect per 10,000 ower 20 author per 10,000 18 dialect per 10,000 but 19 author per 10,000 48 dialect per 10,000 whit 19 author per 10,000 29 dialect per 10,000 then 19 author per 10,000 16 dialect per 10,000 time 18 author per 10,000 17 dialect per 10,000 get 18 author per 10,000 16 dialect per 10,000 could 18 author per 10,000 9 dialect per 10,000 wid 18 author per 10,000 9 dialect per 10,000 or 17 author per 10,000 29 dialect per 10,000 mind 17 author per 10,000 7 dialect per 10,000 efter 17 author per 10,000 10 dialect per 10,000 o' 17 author per 10,000 1 dialect per 10,000 like 16 author per 10,000 28 dialect per 10,000 aboot 16 author per 10,000 30 dialect per 10,000 - 16 author per 10,000 27 dialect per 10,000 yer 16 author per 10,000 17 dialect per 10,000 been 15 author per 10,000 19 dialect per 10,000 ken 15 author per 10,000 14 dialect per 10,000 some 15 author per 10,000 13 dialect per 10,000 wi' 15 author per 10,000 1 dialect per 10,000 again 14 author per 10,000 8 dialect per 10,000 can 14 author per 10,000 16 dialect per 10,000 aff 14 author per 10,000 14 dialect per 10,000 €¦ 13 author per 10,000 1 dialect per 10,000 day 13 author per 10,000 13 dialect per 10,000 mair 13 author per 10,000 20 dialect per 10,000 group 13 author per 10,000 2 dialect per 10,000 students 13 author per 10,000 1 dialect per 10,000 off 13 author per 10,000 1 dialect per 10,000 wha 13 author per 10,000 8 dialect per 10,000 auld 13 author per 10,000 13 dialect per 10,000 noo 13 author per 10,000 13 dialect per 10,000 wee 13 author per 10,000 27 dialect per 10,000 dae 12 author per 10,000 17 dialect per 10,000 college 12 author per 10,000 0 dialect per 10,000 €™ll 12 author per 10,000 5 dialect per 10,000 of 12 author per 10,000 10 dialect per 10,000 see 12 author per 10,000 17 dialect per 10,000 €™ve 12 author per 10,000 4 dialect per 10,000 went 12 author per 10,000 7 dialect per 10,000 intae 11 author per 10,000 18 dialect per 10,000 scott 11 author per 10,000 1 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 still 11 author per 10,000 8 dialect per 10,000 aw' 11 author per 10,000 0 dialect per 10,000 would 11 author per 10,000 2 dialect per 10,000 asked 11 author per 10,000 2 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 got 11 author per 10,000 12 dialect per 10,000 weel 11 author per 10,000 9 dialect per 10,000 bein 10 author per 10,000 7 dialect per 10,000 right 10 author per 10,000 4 dialect per 10,000 gin 10 author per 10,000 7 dialect per 10,000 ba 10 author per 10,000 0 dialect per 10,000 only 10 author per 10,000 5 dialect per 10,000 bluidy 10 author per 10,000 1 dialect per 10,000 last 10 author per 10,000 6 dialect per 10,000 one 10 author per 10,000 2 dialect per 10,000 if 10 author per 10,000 18 dialect per 10,000 my 10 author per 10,000 6 dialect per 10,000 which 10 author per 10,000 5 dialect per 10,000 man 10 author per 10,000 10 dialect per 10,000 furst 10 author per 10,000 0 dialect per 10,000 to 10 author per 10,000 9 dialect per 10,000 took 10 author per 10,000 3 dialect per 10,000 than 10 author per 10,000 11 dialect per 10,000 twa 10 author per 10,000 10 dialect per 10,000 ithir 9 author per 10,000 0 dialect per 10,000 go 9 author per 10,000 6 dialect per 10,000 looked 9 author per 10,000 3 dialect per 10,000 heid 9 author per 10,000 10 dialect per 10,000 think 9 author per 10,000 9 dialect per 10,000 left 9 author per 10,000 5 dialect per 10,000 game 9 author per 10,000 1 dialect per 10,000 roy 8 author per 10,000 0 dialect per 10,000 how 8 author per 10,000 6 dialect per 10,000 will 8 author per 10,000 11 dialect per 10,000 ay 8 author per 10,000 12 dialect per 10,000 han 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 4 dialect per 10,000 let 8 author per 10,000 4 dialect per 10,000 made 8 author per 10,000 7 dialect per 10,000 callum 8 author per 10,000 0 dialect per 10,000 ony 8 author per 10,000 6 dialect per 10,000 say 8 author per 10,000 10 dialect per 10,000 alba 8 author per 10,000 0 dialect per 10,000 afore 8 author per 10,000 9 dialect per 10,000 great 8 author per 10,000 3 dialect per 10,000 student 7 author per 10,000 0 dialect per 10,000 class 7 author per 10,000 2 dialect per 10,000 it's 7 author per 10,000 17 dialect per 10,000 goin 7 author per 10,000 1 dialect per 10,000 whaur 7 author per 10,000 9 dialect per 10,000 came 7 author per 10,000 3 dialect per 10,000 pride 7 author per 10,000 1 dialect per 10,000 cause 7 author per 10,000 6 dialect per 10,000 run 7 author per 10,000 2 dialect per 10,000 are 7 author per 10,000 18 dialect per 10,000 baith 7 author per 10,000 5 dialect per 10,000 lang 7 author per 10,000 9 dialect per 10,000 year 7 author per 10,000 7 dialect per 10,000 with 7 author per 10,000 2 dialect per 10,000 rugby 7 author per 10,000 0 dialect per 10,000 and 7 author per 10,000 102 dialect per 10,000 hill 7 author per 10,000 1 dialect per 10,000 through 7 author per 10,000 6 dialect per 10,000 adie 7 author per 10,000 0 dialect per 10,000 young 7 author per 10,000 3 dialect per 10,000 red 7 author per 10,000 1 dialect per 10,000 make 7 author per 10,000 2 dialect per 10,000 guid 7 author per 10,000 12 dialect per 10,000 poem 6 author per 10,000 2 dialect per 10,000 €œa 6 author per 10,000 1 dialect per 10,000 first 6 author per 10,000 9 dialect per 10,000 pit 6 author per 10,000 9 dialect per 10,000 fitba 6 author per 10,000 1 dialect per 10,000 gave 6 author per 10,000 1 dialect per 10,000 try 6 author per 10,000 2 dialect per 10,000 barney 6 author per 10,000 0 dialect per 10,000 didni 6 author per 10,000 0 dialect per 10,000 €œoh 6 author per 10,000 0 dialect per 10,000 €œthe 6 author per 10,000 1 dialect per 10,000 €™t 6 author per 10,000 3 dialect per 10,000 way 6 author per 10,000 3 dialect per 10,000 have 6 author per 10,000 2 dialect per 10,000 telt 6 author per 10,000 5 dialect per 10,000 fu 6 author per 10,000 1 dialect per 10,000 same 6 author per 10,000 6 dialect per 10,000 saw 6 author per 10,000 4 dialect per 10,000 while 6 author per 10,000 5 dialect per 10,000 come 6 author per 10,000 9 dialect per 10,000 staff 6 author per 10,000 0 dialect per 10,000 ca 6 author per 10,000 0 dialect per 10,000 work 6 author per 10,000 2 dialect per 10,000 oh 6 author per 10,000 1 dialect per 10,000 beth 6 author per 10,000 0 dialect per 10,000 marion 6 author per 10,000 0 dialect per 10,000 so 6 author per 10,000 9 dialect per 10,000 		Doric
€™ 840 author per 10,000 8 dialect per 10,000 the 473 author per 10,000 483 dialect per 10,000 a 387 author per 10,000 295 dialect per 10,000 tae 261 author per 10,000 168 dialect per 10,000 an 225 author per 10,000 309 dialect per 10,000 o 148 author per 10,000 183 dialect per 10,000 € 146 author per 10,000 16 dialect per 10,000 in 121 author per 10,000 136 dialect per 10,000 it 101 author per 10,000 106 dialect per 10,000 €™s 100 author per 10,000 21 dialect per 10,000 wis 93 author per 10,000 107 dialect per 10,000 we 93 author per 10,000 21 dialect per 10,000 he 78 author per 10,000 99 dialect per 10,000 ma 63 author per 10,000 50 dialect per 10,000 that 58 author per 10,000 54 dialect per 10,000 at 56 author per 10,000 60 dialect per 10,000 wi 55 author per 10,000 83 dialect per 10,000 as 54 author per 10,000 53 dialect per 10,000 his 52 author per 10,000 73 dialect per 10,000 oor 51 author per 10,000 7 dialect per 10,000 had 48 author per 10,000 3 dialect per 10,000 me 48 author per 10,000 30 dialect per 10,000 an' 47 author per 10,000 3 dialect per 10,000 aw 47 author per 10,000 1 dialect per 10,000 she 43 author per 10,000 63 dialect per 10,000 ye 40 author per 10,000 94 dialect per 10,000 her 40 author per 10,000 66 dialect per 10,000 when 39 author per 10,000 2 dialect per 10,000 this 39 author per 10,000 20 dialect per 10,000 you 39 author per 10,000 20 dialect per 10,000 frae 38 author per 10,000 13 dialect per 10,000 oan 37 author per 10,000 10 dialect per 10,000 fir 37 author per 10,000 19 dialect per 10,000 were 36 author per 10,000 13 dialect per 10,000 hae 35 author per 10,000 19 dialect per 10,000 oot 35 author per 10,000 51 dialect per 10,000 bit 33 author per 10,000 45 dialect per 10,000 they 33 author per 10,000 37 dialect per 10,000 us 32 author per 10,000 6 dialect per 10,000 be 32 author per 10,000 46 dialect per 10,000 their 31 author per 10,000 21 dialect per 10,000 no 31 author per 10,000 6 dialect per 10,000 for 30 author per 10,000 41 dialect per 10,000 your 30 author per 10,000 3 dialect per 10,000 them 30 author per 10,000 27 dialect per 10,000 up 27 author per 10,000 46 dialect per 10,000 there 27 author per 10,000 21 dialect per 10,000 €™d 27 author per 10,000 11 dialect per 10,000 back 26 author per 10,000 23 dialect per 10,000 him 26 author per 10,000 34 dialect per 10,000 on 26 author per 10,000 64 dialect per 10,000 doon 26 author per 10,000 37 dialect per 10,000 was 26 author per 10,000 5 dialect per 10,000 by 25 author per 10,000 9 dialect per 10,000 jist 23 author per 10,000 36 dialect per 10,000 sae 23 author per 10,000 15 dialect per 10,000 is 23 author per 10,000 44 dialect per 10,000 said 22 author per 10,000 34 dialect per 10,000 nae 22 author per 10,000 50 dialect per 10,000 i 21 author per 10,000 73 dialect per 10,000 yin 20 author per 10,000 1 dialect per 10,000 €™re 20 author per 10,000 1 dialect per 10,000 ower 20 author per 10,000 29 dialect per 10,000 but 19 author per 10,000 19 dialect per 10,000 whit 19 author per 10,000 1 dialect per 10,000 then 19 author per 10,000 9 dialect per 10,000 time 18 author per 10,000 20 dialect per 10,000 get 18 author per 10,000 16 dialect per 10,000 could 18 author per 10,000 7 dialect per 10,000 wid 18 author per 10,000 17 dialect per 10,000 or 17 author per 10,000 24 dialect per 10,000 mind 17 author per 10,000 5 dialect per 10,000 efter 17 author per 10,000 10 dialect per 10,000 o' 17 author per 10,000 7 dialect per 10,000 like 16 author per 10,000 42 dialect per 10,000 aboot 16 author per 10,000 35 dialect per 10,000 - 16 author per 10,000 27 dialect per 10,000 yer 16 author per 10,000 37 dialect per 10,000 been 15 author per 10,000 12 dialect per 10,000 ken 15 author per 10,000 22 dialect per 10,000 some 15 author per 10,000 13 dialect per 10,000 wi' 15 author per 10,000 4 dialect per 10,000 again 14 author per 10,000 9 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 aff 14 author per 10,000 13 dialect per 10,000 €¦ 13 author per 10,000 1 dialect per 10,000 day 13 author per 10,000 31 dialect per 10,000 mair 13 author per 10,000 17 dialect per 10,000 group 13 author per 10,000 0 dialect per 10,000 students 13 author per 10,000 0 dialect per 10,000 off 13 author per 10,000 1 dialect per 10,000 wha 13 author per 10,000 1 dialect per 10,000 auld 13 author per 10,000 9 dialect per 10,000 noo 13 author per 10,000 22 dialect per 10,000 wee 13 author per 10,000 19 dialect per 10,000 dae 12 author per 10,000 5 dialect per 10,000 college 12 author per 10,000 0 dialect per 10,000 €™ll 12 author per 10,000 4 dialect per 10,000 of 12 author per 10,000 8 dialect per 10,000 see 12 author per 10,000 21 dialect per 10,000 €™ve 12 author per 10,000 2 dialect per 10,000 went 12 author per 10,000 4 dialect per 10,000 intae 11 author per 10,000 11 dialect per 10,000 scott 11 author per 10,000 0 dialect per 10,000 gie 11 author per 10,000 8 dialect per 10,000 still 11 author per 10,000 6 dialect per 10,000 aw' 11 author per 10,000 0 dialect per 10,000 would 11 author per 10,000 1 dialect per 10,000 asked 11 author per 10,000 1 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 got 11 author per 10,000 14 dialect per 10,000 weel 11 author per 10,000 18 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 right 10 author per 10,000 1 dialect per 10,000 gin 10 author per 10,000 6 dialect per 10,000 ba 10 author per 10,000 1 dialect per 10,000 only 10 author per 10,000 6 dialect per 10,000 bluidy 10 author per 10,000 0 dialect per 10,000 last 10 author per 10,000 5 dialect per 10,000 one 10 author per 10,000 2 dialect per 10,000 if 10 author per 10,000 18 dialect per 10,000 my 10 author per 10,000 11 dialect per 10,000 which 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 7 dialect per 10,000 furst 10 author per 10,000 0 dialect per 10,000 to 10 author per 10,000 9 dialect per 10,000 took 10 author per 10,000 3 dialect per 10,000 than 10 author per 10,000 8 dialect per 10,000 twa 10 author per 10,000 19 dialect per 10,000 ithir 9 author per 10,000 0 dialect per 10,000 go 9 author per 10,000 3 dialect per 10,000 looked 9 author per 10,000 3 dialect per 10,000 heid 9 author per 10,000 11 dialect per 10,000 think 9 author per 10,000 12 dialect per 10,000 left 9 author per 10,000 6 dialect per 10,000 game 9 author per 10,000 1 dialect per 10,000 roy 8 author per 10,000 1 dialect per 10,000 how 8 author per 10,000 2 dialect per 10,000 will 8 author per 10,000 10 dialect per 10,000 ay 8 author per 10,000 7 dialect per 10,000 han 8 author per 10,000 5 dialect per 10,000 though 8 author per 10,000 3 dialect per 10,000 let 8 author per 10,000 5 dialect per 10,000 made 8 author per 10,000 8 dialect per 10,000 callum 8 author per 10,000 1 dialect per 10,000 ony 8 author per 10,000 9 dialect per 10,000 say 8 author per 10,000 15 dialect per 10,000 alba 8 author per 10,000 0 dialect per 10,000 afore 8 author per 10,000 14 dialect per 10,000 great 8 author per 10,000 5 dialect per 10,000 student 7 author per 10,000 0 dialect per 10,000 class 7 author per 10,000 1 dialect per 10,000 it's 7 author per 10,000 23 dialect per 10,000 goin 7 author per 10,000 0 dialect per 10,000 whaur 7 author per 10,000 0 dialect per 10,000 came 7 author per 10,000 5 dialect per 10,000 pride 7 author per 10,000 1 dialect per 10,000 cause 7 author per 10,000 4 dialect per 10,000 run 7 author per 10,000 2 dialect per 10,000 are 7 author per 10,000 13 dialect per 10,000 baith 7 author per 10,000 5 dialect per 10,000 lang 7 author per 10,000 14 dialect per 10,000 year 7 author per 10,000 5 dialect per 10,000 with 7 author per 10,000 2 dialect per 10,000 rugby 7 author per 10,000 0 dialect per 10,000 and 7 author per 10,000 45 dialect per 10,000 hill 7 author per 10,000 1 dialect per 10,000 through 7 author per 10,000 3 dialect per 10,000 adie 7 author per 10,000 0 dialect per 10,000 young 7 author per 10,000 3 dialect per 10,000 red 7 author per 10,000 0 dialect per 10,000 make 7 author per 10,000 1 dialect per 10,000 guid 7 author per 10,000 4 dialect per 10,000 poem 6 author per 10,000 0 dialect per 10,000 €œa 6 author per 10,000 0 dialect per 10,000 first 6 author per 10,000 7 dialect per 10,000 pit 6 author per 10,000 9 dialect per 10,000 fitba 6 author per 10,000 1 dialect per 10,000 gave 6 author per 10,000 1 dialect per 10,000 try 6 author per 10,000 3 dialect per 10,000 barney 6 author per 10,000 0 dialect per 10,000 didni 6 author per 10,000 0 dialect per 10,000 €œoh 6 author per 10,000 1 dialect per 10,000 €œthe 6 author per 10,000 0 dialect per 10,000 €™t 6 author per 10,000 1 dialect per 10,000 way 6 author per 10,000 1 dialect per 10,000 have 6 author per 10,000 1 dialect per 10,000 telt 6 author per 10,000 9 dialect per 10,000 fu 6 author per 10,000 1 dialect per 10,000 same 6 author per 10,000 5 dialect per 10,000 saw 6 author per 10,000 4 dialect per 10,000 while 6 author per 10,000 2 dialect per 10,000 come 6 author per 10,000 14 dialect per 10,000 staff 6 author per 10,000 0 dialect per 10,000 ca 6 author per 10,000 1 dialect per 10,000 work 6 author per 10,000 2 dialect per 10,000 oh 6 author per 10,000 8 dialect per 10,000 beth 6 author per 10,000 0 dialect per 10,000 marion 6 author per 10,000 0 dialect per 10,000 so 6 author per 10,000 13 dialect per 10,000
Shetland
€™ 840 author per 10,000 21 dialect per 10,000 the 473 author per 10,000 20 dialect per 10,000 a 387 author per 10,000 279 dialect per 10,000 tae 261 author per 10,000 74 dialect per 10,000 an 225 author per 10,000 339 dialect per 10,000 o 148 author per 10,000 158 dialect per 10,000 € 146 author per 10,000 21 dialect per 10,000 in 121 author per 10,000 97 dialect per 10,000 it 101 author per 10,000 60 dialect per 10,000 €™s 100 author per 10,000 19 dialect per 10,000 wis 93 author per 10,000 180 dialect per 10,000 we 93 author per 10,000 44 dialect per 10,000 he 78 author per 10,000 120 dialect per 10,000 ma 63 author per 10,000 0 dialect per 10,000 that 58 author per 10,000 4 dialect per 10,000 at 56 author per 10,000 109 dialect per 10,000 wi 55 author per 10,000 95 dialect per 10,000 as 54 author per 10,000 77 dialect per 10,000 his 52 author per 10,000 59 dialect per 10,000 oor 51 author per 10,000 1 dialect per 10,000 had 48 author per 10,000 2 dialect per 10,000 me 48 author per 10,000 48 dialect per 10,000 an' 47 author per 10,000 1 dialect per 10,000 aw 47 author per 10,000 0 dialect per 10,000 she 43 author per 10,000 8 dialect per 10,000 ye 40 author per 10,000 0 dialect per 10,000 her 40 author per 10,000 69 dialect per 10,000 when 39 author per 10,000 6 dialect per 10,000 this 39 author per 10,000 1 dialect per 10,000 you 39 author per 10,000 54 dialect per 10,000 frae 38 author per 10,000 0 dialect per 10,000 oan 37 author per 10,000 0 dialect per 10,000 fir 37 author per 10,000 23 dialect per 10,000 were 36 author per 10,000 3 dialect per 10,000 hae 35 author per 10,000 25 dialect per 10,000 oot 35 author per 10,000 47 dialect per 10,000 bit 33 author per 10,000 39 dialect per 10,000 they 33 author per 10,000 2 dialect per 10,000 us 32 author per 10,000 1 dialect per 10,000 be 32 author per 10,000 52 dialect per 10,000 their 31 author per 10,000 1 dialect per 10,000 no 31 author per 10,000 36 dialect per 10,000 for 30 author per 10,000 40 dialect per 10,000 your 30 author per 10,000 10 dialect per 10,000 them 30 author per 10,000 1 dialect per 10,000 up 27 author per 10,000 45 dialect per 10,000 there 27 author per 10,000 1 dialect per 10,000 €™d 27 author per 10,000 2 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 him 26 author per 10,000 55 dialect per 10,000 on 26 author per 10,000 55 dialect per 10,000 doon 26 author per 10,000 25 dialect per 10,000 was 26 author per 10,000 3 dialect per 10,000 by 25 author per 10,000 7 dialect per 10,000 jist 23 author per 10,000 0 dialect per 10,000 sae 23 author per 10,000 8 dialect per 10,000 is 23 author per 10,000 59 dialect per 10,000 said 22 author per 10,000 73 dialect per 10,000 nae 22 author per 10,000 25 dialect per 10,000 i 21 author per 10,000 162 dialect per 10,000 yin 20 author per 10,000 0 dialect per 10,000 €™re 20 author per 10,000 1 dialect per 10,000 ower 20 author per 10,000 28 dialect per 10,000 but 19 author per 10,000 29 dialect per 10,000 whit 19 author per 10,000 41 dialect per 10,000 then 19 author per 10,000 0 dialect per 10,000 time 18 author per 10,000 23 dialect per 10,000 get 18 author per 10,000 7 dialect per 10,000 could 18 author per 10,000 13 dialect per 10,000 wid 18 author per 10,000 42 dialect per 10,000 or 17 author per 10,000 24 dialect per 10,000 mind 17 author per 10,000 11 dialect per 10,000 efter 17 author per 10,000 10 dialect per 10,000 o' 17 author per 10,000 0 dialect per 10,000 like 16 author per 10,000 2 dialect per 10,000 aboot 16 author per 10,000 41 dialect per 10,000 - 16 author per 10,000 49 dialect per 10,000 yer 16 author per 10,000 0 dialect per 10,000 been 15 author per 10,000 18 dialect per 10,000 ken 15 author per 10,000 16 dialect per 10,000 some 15 author per 10,000 14 dialect per 10,000 wi' 15 author per 10,000 0 dialect per 10,000 again 14 author per 10,000 6 dialect per 10,000 can 14 author per 10,000 19 dialect per 10,000 aff 14 author per 10,000 20 dialect per 10,000 €¦ 13 author per 10,000 1 dialect per 10,000 day 13 author per 10,000 19 dialect per 10,000 mair 13 author per 10,000 17 dialect per 10,000 group 13 author per 10,000 1 dialect per 10,000 students 13 author per 10,000 0 dialect per 10,000 off 13 author per 10,000 0 dialect per 10,000 wha 13 author per 10,000 6 dialect per 10,000 auld 13 author per 10,000 1 dialect per 10,000 noo 13 author per 10,000 20 dialect per 10,000 wee 13 author per 10,000 0 dialect per 10,000 dae 12 author per 10,000 3 dialect per 10,000 college 12 author per 10,000 0 dialect per 10,000 €™ll 12 author per 10,000 6 dialect per 10,000 of 12 author per 10,000 13 dialect per 10,000 see 12 author per 10,000 21 dialect per 10,000 €™ve 12 author per 10,000 1 dialect per 10,000 went 12 author per 10,000 0 dialect per 10,000 intae 11 author per 10,000 8 dialect per 10,000 scott 11 author per 10,000 0 dialect per 10,000 gie 11 author per 10,000 10 dialect per 10,000 still 11 author per 10,000 9 dialect per 10,000 aw' 11 author per 10,000 0 dialect per 10,000 would 11 author per 10,000 1 dialect per 10,000 asked 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 got 11 author per 10,000 9 dialect per 10,000 weel 11 author per 10,000 20 dialect per 10,000 bein 10 author per 10,000 5 dialect per 10,000 right 10 author per 10,000 6 dialect per 10,000 gin 10 author per 10,000 0 dialect per 10,000 ba 10 author per 10,000 0 dialect per 10,000 only 10 author per 10,000 6 dialect per 10,000 bluidy 10 author per 10,000 0 dialect per 10,000 last 10 author per 10,000 6 dialect per 10,000 one 10 author per 10,000 1 dialect per 10,000 if 10 author per 10,000 28 dialect per 10,000 my 10 author per 10,000 28 dialect per 10,000 which 10 author per 10,000 1 dialect per 10,000 man 10 author per 10,000 19 dialect per 10,000 furst 10 author per 10,000 0 dialect per 10,000 to 10 author per 10,000 9 dialect per 10,000 took 10 author per 10,000 11 dialect per 10,000 than 10 author per 10,000 0 dialect per 10,000 twa 10 author per 10,000 11 dialect per 10,000 ithir 9 author per 10,000 0 dialect per 10,000 go 9 author per 10,000 3 dialect per 10,000 looked 9 author per 10,000 0 dialect per 10,000 heid 9 author per 10,000 2 dialect per 10,000 think 9 author per 10,000 1 dialect per 10,000 left 9 author per 10,000 6 dialect per 10,000 game 9 author per 10,000 1 dialect per 10,000 roy 8 author per 10,000 0 dialect per 10,000 how 8 author per 10,000 1 dialect per 10,000 will 8 author per 10,000 9 dialect per 10,000 ay 8 author per 10,000 1 dialect per 10,000 han 8 author per 10,000 0 dialect per 10,000 though 8 author per 10,000 2 dialect per 10,000 let 8 author per 10,000 1 dialect per 10,000 made 8 author per 10,000 1 dialect per 10,000 callum 8 author per 10,000 0 dialect per 10,000 ony 8 author per 10,000 13 dialect per 10,000 say 8 author per 10,000 12 dialect per 10,000 alba 8 author per 10,000 0 dialect per 10,000 afore 8 author per 10,000 17 dialect per 10,000 great 8 author per 10,000 1 dialect per 10,000 student 7 author per 10,000 0 dialect per 10,000 class 7 author per 10,000 0 dialect per 10,000 it's 7 author per 10,000 7 dialect per 10,000 goin 7 author per 10,000 1 dialect per 10,000 whaur 7 author per 10,000 0 dialect per 10,000 came 7 author per 10,000 0 dialect per 10,000 pride 7 author per 10,000 0 dialect per 10,000 cause 7 author per 10,000 0 dialect per 10,000 run 7 author per 10,000 2 dialect per 10,000 are 7 author per 10,000 2 dialect per 10,000 baith 7 author per 10,000 3 dialect per 10,000 lang 7 author per 10,000 11 dialect per 10,000 year 7 author per 10,000 7 dialect per 10,000 with 7 author per 10,000 2 dialect per 10,000 rugby 7 author per 10,000 0 dialect per 10,000 and 7 author per 10,000 16 dialect per 10,000 hill 7 author per 10,000 5 dialect per 10,000 through 7 author per 10,000 0 dialect per 10,000 adie 7 author per 10,000 0 dialect per 10,000 young 7 author per 10,000 6 dialect per 10,000 red 7 author per 10,000 2 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Southern
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10,000 1 dialect per 10,000 student 7 author per 10,000 0 dialect per 10,000 class 7 author per 10,000 0 dialect per 10,000 it's 7 author per 10,000 13 dialect per 10,000 goin 7 author per 10,000 0 dialect per 10,000 whaur 7 author per 10,000 3 dialect per 10,000 came 7 author per 10,000 2 dialect per 10,000 pride 7 author per 10,000 1 dialect per 10,000 cause 7 author per 10,000 0 dialect per 10,000 run 7 author per 10,000 2 dialect per 10,000 are 7 author per 10,000 4 dialect per 10,000 baith 7 author per 10,000 6 dialect per 10,000 lang 7 author per 10,000 12 dialect per 10,000 year 7 author per 10,000 2 dialect per 10,000 with 7 author per 10,000 1 dialect per 10,000 rugby 7 author per 10,000 0 dialect per 10,000 and 7 author per 10,000 10 dialect per 10,000 hill 7 author per 10,000 1 dialect per 10,000 through 7 author per 10,000 4 dialect per 10,000 adie 7 author per 10,000 0 dialect per 10,000 young 7 author per 10,000 2 dialect per 10,000 red 7 author per 10,000 0 dialect per 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dialect per 10,000 staff 6 author per 10,000 1 dialect per 10,000 ca 6 author per 10,000 0 dialect per 10,000 work 6 author per 10,000 1 dialect per 10,000 oh 6 author per 10,000 1 dialect per 10,000 beth 6 author per 10,000 0 dialect per 10,000 marion 6 author per 10,000 0 dialect per 10,000 so 6 author per 10,000 5 dialect per 10,000