A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

. .Previous author - Next author
- basic details - fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Benzie, Lesley


Total words by this author in corpus - 4,512
Total unique words used by this author in corpus - 1,713
Ratio of total words to unique words - 2.634
Top ten most common words - the, o, an, tae, a, in, their, as, ye, 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 714 author per 10,000 565 dialect per 10,000 o 363 author per 10,000 185 dialect per 10,000 an 317 author per 10,000 225 dialect per 10,000 tae 264 author per 10,000 211 dialect per 10,000 a 191 author per 10,000 266 dialect per 10,000 in 182 author per 10,000 147 dialect per 10,000 their 124 author per 10,000 19 dialect per 10,000 as 117 author per 10,000 59 dialect per 10,000 ye 115 author per 10,000 62 dialect per 10,000 for 111 author per 10,000 48 dialect per 10,000 wi 100 author per 10,000 67 dialect per 10,000 that 98 author per 10,000 106 dialect per 10,000 yer 93 author per 10,000 21 dialect per 10,000 on 84 author per 10,000 55 dialect per 10,000 he 80 author per 10,000 87 dialect per 10,000 his 78 author per 10,000 59 dialect per 10,000 like 73 author per 10,000 28 dialect per 10,000 she 69 author per 10,000 56 dialect per 10,000 aa 66 author per 10,000 14 dialect per 10,000 fae 64 author per 10,000 26 dialect per 10,000 ah 55 author per 10,000 73 dialect per 10,000 ma 55 author per 10,000 51 dialect per 10,000 at 49 author per 10,000 59 dialect per 10,000 wis 47 author per 10,000 97 dialect per 10,000 her 44 author per 10,000 46 dialect per 10,000 it 44 author per 10,000 116 dialect per 10,000 by 42 author per 10,000 17 dialect per 10,000 hiv 40 author per 10,000 2 dialect per 10,000 is 35 author per 10,000 58 dialect per 10,000 they 33 author per 10,000 41 dialect per 10,000 them 33 author per 10,000 18 dialect per 10,000 far 31 author per 10,000 2 dialect per 10,000 fan 31 author per 10,000 0 dialect per 10,000 while 31 author per 10,000 5 dialect per 10,000 be 29 author per 10,000 48 dialect per 10,000 if 29 author per 10,000 17 dialect per 10,000 it's 29 author per 10,000 17 dialect per 10,000 een 29 author per 10,000 5 dialect per 10,000 him 29 author per 10,000 29 dialect per 10,000 were 29 author per 10,000 15 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 this 29 author per 10,000 41 dialect per 10,000 are 27 author per 10,000 17 dialect per 10,000 nae 27 author per 10,000 24 dialect per 10,000 aroon 27 author per 10,000 1 dialect per 10,000 warld 24 author per 10,000 4 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 only 24 author per 10,000 6 dialect per 10,000 oor 24 author per 10,000 15 dialect per 10,000 day 24 author per 10,000 14 dialect per 10,000 up 24 author per 10,000 40 dialect per 10,000 me 24 author per 10,000 40 dialect per 10,000 time 24 author per 10,000 18 dialect per 10,000 oot 22 author per 10,000 40 dialect per 10,000 blue 22 author per 10,000 2 dialect per 10,000 wee 22 author per 10,000 29 dialect per 10,000 its 22 author per 10,000 11 dialect per 10,000 ane 20 author per 10,000 9 dialect per 10,000 but 20 author per 10,000 48 dialect per 10,000 till 20 author per 10,000 3 dialect per 10,000 ower 20 author per 10,000 19 dialect per 10,000 back 20 author per 10,000 20 dialect per 10,000 we 20 author per 10,000 33 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 sea 20 author per 10,000 2 dialect per 10,000 through 20 author per 10,000 6 dialect per 10,000 ain 18 author per 10,000 10 dialect per 10,000 aboot 18 author per 10,000 29 dialect per 10,000 afore 18 author per 10,000 10 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 9 dialect per 10,000 sae 18 author per 10,000 16 dialect per 10,000 across 18 author per 10,000 2 dialect per 10,000 can 18 author per 10,000 14 dialect per 10,000 green 18 author per 10,000 2 dialect per 10,000 then 18 author per 10,000 17 dialect per 10,000 ah'm 18 author per 10,000 6 dialect per 10,000 these 18 author per 10,000 4 dialect per 10,000 licht 18 author per 10,000 3 dialect per 10,000 reid 18 author per 10,000 1 dialect per 10,000 been 18 author per 10,000 18 dialect per 10,000 jist 16 author per 10,000 20 dialect per 10,000 there 16 author per 10,000 23 dialect per 10,000 has 16 author per 10,000 4 dialect per 10,000 ye'd 16 author per 10,000 1 dialect per 10,000 war 16 author per 10,000 4 dialect per 10,000 atween 16 author per 10,000 3 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 kent 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 first 13 author per 10,000 9 dialect per 10,000 hid 13 author per 10,000 2 dialect per 10,000 richt 13 author per 10,000 12 dialect per 10,000 there's 13 author per 10,000 5 dialect per 10,000 ony 13 author per 10,000 7 dialect per 10,000 could 13 author per 10,000 9 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 spik 13 author per 10,000 0 dialect per 10,000 hairt 13 author per 10,000 1 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 12 dialect per 10,000 cam 13 author per 10,000 8 dialect per 10,000 face 13 author per 10,000 5 dialect per 10,000 even 13 author per 10,000 9 dialect per 10,000 to 13 author per 10,000 9 dialect per 10,000 wad 13 author per 10,000 9 dialect per 10,000 sky 13 author per 10,000 1 dialect per 10,000 wide 11 author per 10,000 1 dialect per 10,000 black 11 author per 10,000 2 dialect per 10,000 mair 11 author per 10,000 20 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 15 dialect per 10,000 nivver 11 author per 10,000 2 dialect per 10,000 still 11 author per 10,000 8 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 18 dialect per 10,000 - 11 author per 10,000 27 dialect per 10,000 sun 11 author per 10,000 2 dialect per 10,000 mak 11 author per 10,000 8 dialect per 10,000 will 11 author per 10,000 10 dialect per 10,000 says 11 author per 10,000 7 dialect per 10,000 late 9 author per 10,000 2 dialect per 10,000 faces 9 author per 10,000 1 dialect per 10,000 hardly 9 author per 10,000 1 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 2 dialect per 10,000 bush 9 author per 10,000 0 dialect per 10,000 much 9 author per 10,000 3 dialect per 10,000 auld 9 author per 10,000 14 dialect per 10,000 had 9 author per 10,000 22 dialect per 10,000 mony 9 author per 10,000 4 dialect per 10,000 which 9 author per 10,000 5 dialect per 10,000 yersel 9 author per 10,000 3 dialect per 10,000 livin 9 author per 10,000 1 dialect per 10,000 fitiver 9 author per 10,000 0 dialect per 10,000 mither 9 author per 10,000 4 dialect per 10,000 days 9 author per 10,000 5 dialect per 10,000 aff 9 author per 10,000 14 dialect per 10,000 made 9 author per 10,000 7 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 1 dialect per 10,000 same 9 author per 10,000 6 dialect per 10,000 and 9 author per 10,000 94 dialect per 10,000 become 9 author per 10,000 1 dialect per 10,000 years 9 author per 10,000 4 dialect per 10,000 itsel 9 author per 10,000 2 dialect per 10,000 aye 9 author per 10,000 16 dialect per 10,000 lips 9 author per 10,000 1 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 3 dialect per 10,000 too 9 author per 10,000 2 dialect per 10,000 against 9 author per 10,000 1 dialect per 10,000 shadows 9 author per 10,000 0 dialect per 10,000 airms 9 author per 10,000 1 dialect per 10,000 country 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 young 9 author per 10,000 3 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 5 dialect per 10,000 ither 7 author per 10,000 11 dialect per 10,000 yird 7 author per 10,000 1 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 2 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 6 dialect per 10,000 air 7 author per 10,000 3 dialect per 10,000 loved 7 author per 10,000 0 dialect per 10,000 edge 7 author per 10,000 1 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 14 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 1 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 last 7 author per 10,000 6 dialect per 10,000 took 7 author per 10,000 3 dialect per 10,000 rock 7 author per 10,000 1 dialect per 10,000 bleed 7 author per 10,000 0 dialect per 10,000 thegither 7 author per 10,000 3 dialect per 10,000 turnin 7 author per 10,000 1 dialect per 10,000 himsel 7 author per 10,000 3 dialect per 10,000 winter 7 author per 10,000 1 dialect per 10,000 return 7 author per 10,000 0 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 1 dialect per 10,000 vast 7 author per 10,000 0 dialect per 10,000 closer 7 author per 10,000 1 dialect per 10,000 mind 7 author per 10,000 8 dialect per 10,000 sheen 7 author per 10,000 0 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 13 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 0 dialect per 10,000 roon 7 author per 10,000 4 dialect per 10,000 lap 7 author per 10,000 0 dialect per 10,000 sat 7 author per 10,000 2 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 8 dialect per 10,000 born 7 author per 10,000 1 dialect per 10,000 yalla 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000 		Doric
the 714 author per 10,000 450 dialect per 10,000 o 363 author per 10,000 174 dialect per 10,000 an 317 author per 10,000 306 dialect per 10,000 tae 264 author per 10,000 170 dialect per 10,000 a 191 author per 10,000 316 dialect per 10,000 in 182 author per 10,000 130 dialect per 10,000 their 124 author per 10,000 18 dialect per 10,000 as 117 author per 10,000 51 dialect per 10,000 ye 115 author per 10,000 93 dialect per 10,000 for 111 author per 10,000 45 dialect per 10,000 wi 100 author per 10,000 77 dialect per 10,000 that 98 author per 10,000 53 dialect per 10,000 yer 93 author per 10,000 35 dialect per 10,000 on 84 author per 10,000 67 dialect per 10,000 he 80 author per 10,000 97 dialect per 10,000 his 78 author per 10,000 69 dialect per 10,000 like 73 author per 10,000 36 dialect per 10,000 she 69 author per 10,000 66 dialect per 10,000 aa 66 author per 10,000 43 dialect per 10,000 fae 64 author per 10,000 29 dialect per 10,000 ah 55 author per 10,000 41 dialect per 10,000 ma 55 author per 10,000 50 dialect per 10,000 at 49 author per 10,000 68 dialect per 10,000 wis 47 author per 10,000 105 dialect per 10,000 her 44 author per 10,000 64 dialect per 10,000 it 44 author per 10,000 99 dialect per 10,000 by 42 author per 10,000 9 dialect per 10,000 hiv 40 author per 10,000 9 dialect per 10,000 is 35 author per 10,000 39 dialect per 10,000 they 33 author per 10,000 36 dialect per 10,000 them 33 author per 10,000 23 dialect per 10,000 far 31 author per 10,000 13 dialect per 10,000 fan 31 author per 10,000 17 dialect per 10,000 while 31 author per 10,000 2 dialect per 10,000 be 29 author per 10,000 45 dialect per 10,000 if 29 author per 10,000 16 dialect per 10,000 it's 29 author per 10,000 19 dialect per 10,000 een 29 author per 10,000 19 dialect per 10,000 him 29 author per 10,000 30 dialect per 10,000 were 29 author per 10,000 13 dialect per 10,000 life 29 author per 10,000 5 dialect per 10,000 this 29 author per 10,000 19 dialect per 10,000 are 27 author per 10,000 13 dialect per 10,000 nae 27 author per 10,000 50 dialect per 10,000 aroon 27 author per 10,000 4 dialect per 10,000 warld 24 author per 10,000 2 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 only 24 author per 10,000 5 dialect per 10,000 oor 24 author per 10,000 8 dialect per 10,000 day 24 author per 10,000 26 dialect per 10,000 up 24 author per 10,000 47 dialect per 10,000 me 24 author per 10,000 33 dialect per 10,000 time 24 author per 10,000 19 dialect per 10,000 oot 22 author per 10,000 51 dialect per 10,000 blue 22 author per 10,000 2 dialect per 10,000 wee 22 author per 10,000 18 dialect per 10,000 its 22 author per 10,000 8 dialect per 10,000 ane 20 author per 10,000 5 dialect per 10,000 but 20 author per 10,000 25 dialect per 10,000 till 20 author per 10,000 27 dialect per 10,000 ower 20 author per 10,000 30 dialect per 10,000 back 20 author per 10,000 21 dialect per 10,000 we 20 author per 10,000 33 dialect per 10,000 fa 20 author per 10,000 9 dialect per 10,000 sea 20 author per 10,000 4 dialect per 10,000 through 20 author per 10,000 2 dialect per 10,000 ain 18 author per 10,000 7 dialect per 10,000 aboot 18 author per 10,000 34 dialect per 10,000 afore 18 author per 10,000 14 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 10 dialect per 10,000 sae 18 author per 10,000 14 dialect per 10,000 across 18 author per 10,000 2 dialect per 10,000 can 18 author per 10,000 12 dialect per 10,000 green 18 author per 10,000 2 dialect per 10,000 then 18 author per 10,000 9 dialect per 10,000 ah'm 18 author per 10,000 8 dialect per 10,000 these 18 author per 10,000 2 dialect per 10,000 licht 18 author per 10,000 4 dialect per 10,000 reid 18 author per 10,000 2 dialect per 10,000 been 18 author per 10,000 13 dialect per 10,000 jist 16 author per 10,000 36 dialect per 10,000 there 16 author per 10,000 22 dialect per 10,000 has 16 author per 10,000 2 dialect per 10,000 ye'd 16 author per 10,000 2 dialect per 10,000 war 16 author per 10,000 11 dialect per 10,000 atween 16 author per 10,000 3 dialect per 10,000 wye 16 author per 10,000 12 dialect per 10,000 kent 13 author per 10,000 8 dialect per 10,000 seen 13 author per 10,000 8 dialect per 10,000 first 13 author per 10,000 7 dialect per 10,000 hid 13 author per 10,000 34 dialect per 10,000 richt 13 author per 10,000 19 dialect per 10,000 there's 13 author per 10,000 3 dialect per 10,000 ony 13 author per 10,000 8 dialect per 10,000 could 13 author per 10,000 8 dialect per 10,000 though 13 author per 10,000 3 dialect per 10,000 spik 13 author per 10,000 3 dialect per 10,000 hairt 13 author per 10,000 2 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 21 dialect per 10,000 cam 13 author per 10,000 12 dialect per 10,000 face 13 author per 10,000 7 dialect per 10,000 even 13 author per 10,000 6 dialect per 10,000 to 13 author per 10,000 8 dialect per 10,000 wad 13 author per 10,000 8 dialect per 10,000 sky 13 author per 10,000 2 dialect per 10,000 wide 11 author per 10,000 1 dialect per 10,000 black 11 author per 10,000 3 dialect per 10,000 mair 11 author per 10,000 17 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 6 dialect per 10,000 nivver 11 author per 10,000 8 dialect per 10,000 still 11 author per 10,000 6 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 33 dialect per 10,000 - 11 author per 10,000 28 dialect per 10,000 sun 11 author per 10,000 2 dialect per 10,000 mak 11 author per 10,000 9 dialect per 10,000 will 11 author per 10,000 9 dialect per 10,000 says 11 author per 10,000 10 dialect per 10,000 late 9 author per 10,000 1 dialect per 10,000 faces 9 author per 10,000 1 dialect per 10,000 hardly 9 author per 10,000 1 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 1 dialect per 10,000 bush 9 author per 10,000 0 dialect per 10,000 much 9 author per 10,000 4 dialect per 10,000 auld 9 author per 10,000 8 dialect per 10,000 had 9 author per 10,000 4 dialect per 10,000 mony 9 author per 10,000 4 dialect per 10,000 which 9 author per 10,000 1 dialect per 10,000 yersel 9 author per 10,000 4 dialect per 10,000 livin 9 author per 10,000 1 dialect per 10,000 fitiver 9 author per 10,000 1 dialect per 10,000 mither 9 author per 10,000 8 dialect per 10,000 days 9 author per 10,000 5 dialect per 10,000 aff 9 author per 10,000 14 dialect per 10,000 made 9 author per 10,000 8 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 0 dialect per 10,000 same 9 author per 10,000 5 dialect per 10,000 and 9 author per 10,000 41 dialect per 10,000 become 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 3 dialect per 10,000 itsel 9 author per 10,000 1 dialect per 10,000 aye 9 author per 10,000 22 dialect per 10,000 lips 9 author per 10,000 1 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 1 dialect per 10,000 too 9 author per 10,000 1 dialect per 10,000 against 9 author per 10,000 1 dialect per 10,000 shadows 9 author per 10,000 0 dialect per 10,000 airms 9 author per 10,000 2 dialect per 10,000 country 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 14 dialect per 10,000 young 9 author per 10,000 3 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 4 dialect per 10,000 ither 7 author per 10,000 8 dialect per 10,000 yird 7 author per 10,000 0 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 5 dialect per 10,000 air 7 author per 10,000 5 dialect per 10,000 loved 7 author per 10,000 0 dialect per 10,000 edge 7 author per 10,000 0 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 23 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 1 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 last 7 author per 10,000 5 dialect per 10,000 took 7 author per 10,000 4 dialect per 10,000 rock 7 author per 10,000 1 dialect per 10,000 bleed 7 author per 10,000 1 dialect per 10,000 thegither 7 author per 10,000 2 dialect per 10,000 turnin 7 author per 10,000 1 dialect per 10,000 himsel 7 author per 10,000 3 dialect per 10,000 winter 7 author per 10,000 2 dialect per 10,000 return 7 author per 10,000 0 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 4 dialect per 10,000 vast 7 author per 10,000 0 dialect per 10,000 closer 7 author per 10,000 0 dialect per 10,000 mind 7 author per 10,000 5 dialect per 10,000 sheen 7 author per 10,000 1 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 13 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 1 dialect per 10,000 roon 7 author per 10,000 11 dialect per 10,000 lap 7 author per 10,000 0 dialect per 10,000 sat 7 author per 10,000 3 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 3 dialect per 10,000 born 7 author per 10,000 1 dialect per 10,000 yalla 7 author per 10,000 2 dialect per 10,000 grey 7 author per 10,000 2 dialect per 10,000
Shetland
the 714 author per 10,000 18 dialect per 10,000 o 363 author per 10,000 177 dialect per 10,000 an 317 author per 10,000 330 dialect per 10,000 tae 264 author per 10,000 86 dialect per 10,000 a 191 author per 10,000 280 dialect per 10,000 in 182 author per 10,000 105 dialect per 10,000 their 124 author per 10,000 1 dialect per 10,000 as 117 author per 10,000 79 dialect per 10,000 ye 115 author per 10,000 0 dialect per 10,000 for 111 author per 10,000 35 dialect per 10,000 wi 100 author per 10,000 95 dialect per 10,000 that 98 author per 10,000 4 dialect per 10,000 yer 93 author per 10,000 0 dialect per 10,000 on 84 author per 10,000 52 dialect per 10,000 he 80 author per 10,000 103 dialect per 10,000 his 78 author per 10,000 52 dialect per 10,000 like 73 author per 10,000 2 dialect per 10,000 she 69 author per 10,000 7 dialect per 10,000 aa 66 author per 10,000 51 dialect per 10,000 fae 64 author per 10,000 40 dialect per 10,000 ah 55 author per 10,000 0 dialect per 10,000 ma 55 author per 10,000 0 dialect per 10,000 at 49 author per 10,000 112 dialect per 10,000 wis 47 author per 10,000 162 dialect per 10,000 her 44 author per 10,000 64 dialect per 10,000 it 44 author per 10,000 58 dialect per 10,000 by 42 author per 10,000 7 dialect per 10,000 hiv 40 author per 10,000 1 dialect per 10,000 is 35 author per 10,000 81 dialect per 10,000 they 33 author per 10,000 2 dialect per 10,000 them 33 author per 10,000 1 dialect per 10,000 far 31 author per 10,000 5 dialect per 10,000 fan 31 author per 10,000 6 dialect per 10,000 while 31 author per 10,000 4 dialect per 10,000 be 29 author per 10,000 56 dialect per 10,000 if 29 author per 10,000 25 dialect per 10,000 it's 29 author per 10,000 8 dialect per 10,000 een 29 author per 10,000 20 dialect per 10,000 him 29 author per 10,000 47 dialect per 10,000 were 29 author per 10,000 3 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 this 29 author per 10,000 1 dialect per 10,000 are 27 author per 10,000 2 dialect per 10,000 nae 27 author per 10,000 23 dialect per 10,000 aroon 27 author per 10,000 1 dialect per 10,000 warld 24 author per 10,000 0 dialect per 10,000 intae 24 author per 10,000 8 dialect per 10,000 only 24 author per 10,000 5 dialect per 10,000 oor 24 author per 10,000 1 dialect per 10,000 day 24 author per 10,000 18 dialect per 10,000 up 24 author per 10,000 42 dialect per 10,000 me 24 author per 10,000 41 dialect per 10,000 time 24 author per 10,000 21 dialect per 10,000 oot 22 author per 10,000 42 dialect per 10,000 blue 22 author per 10,000 2 dialect per 10,000 wee 22 author per 10,000 0 dialect per 10,000 its 22 author per 10,000 3 dialect per 10,000 ane 20 author per 10,000 4 dialect per 10,000 but 20 author per 10,000 29 dialect per 10,000 till 20 author per 10,000 7 dialect per 10,000 ower 20 author per 10,000 24 dialect per 10,000 back 20 author per 10,000 18 dialect per 10,000 we 20 author per 10,000 44 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 sea 20 author per 10,000 6 dialect per 10,000 through 20 author per 10,000 0 dialect per 10,000 ain 18 author per 10,000 7 dialect per 10,000 aboot 18 author per 10,000 41 dialect per 10,000 afore 18 author per 10,000 15 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 5 dialect per 10,000 sae 18 author per 10,000 8 dialect per 10,000 across 18 author per 10,000 1 dialect per 10,000 can 18 author per 10,000 20 dialect per 10,000 green 18 author per 10,000 2 dialect per 10,000 then 18 author per 10,000 1 dialect per 10,000 ah'm 18 author per 10,000 6 dialect per 10,000 these 18 author per 10,000 1 dialect per 10,000 licht 18 author per 10,000 2 dialect per 10,000 reid 18 author per 10,000 0 dialect per 10,000 been 18 author per 10,000 16 dialect per 10,000 jist 16 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 1 dialect per 10,000 has 16 author per 10,000 3 dialect per 10,000 ye'd 16 author per 10,000 0 dialect per 10,000 war 16 author per 10,000 1 dialect per 10,000 atween 16 author per 10,000 6 dialect per 10,000 wye 16 author per 10,000 24 dialect per 10,000 kent 13 author per 10,000 10 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 first 13 author per 10,000 10 dialect per 10,000 hid 13 author per 10,000 1 dialect per 10,000 richt 13 author per 10,000 13 dialect per 10,000 there's 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 13 dialect per 10,000 could 13 author per 10,000 12 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 spik 13 author per 10,000 0 dialect per 10,000 hairt 13 author per 10,000 0 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 13 dialect per 10,000 cam 13 author per 10,000 22 dialect per 10,000 face 13 author per 10,000 6 dialect per 10,000 even 13 author per 10,000 10 dialect per 10,000 to 13 author per 10,000 8 dialect per 10,000 wad 13 author per 10,000 1 dialect per 10,000 sky 13 author per 10,000 1 dialect per 10,000 wide 11 author per 10,000 1 dialect per 10,000 black 11 author per 10,000 3 dialect per 10,000 mair 11 author per 10,000 19 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 0 dialect per 10,000 nivver 11 author per 10,000 7 dialect per 10,000 still 11 author per 10,000 9 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 22 dialect per 10,000 - 11 author per 10,000 53 dialect per 10,000 sun 11 author per 10,000 3 dialect per 10,000 mak 11 author per 10,000 12 dialect per 10,000 will 11 author per 10,000 9 dialect per 10,000 says 11 author per 10,000 5 dialect per 10,000 late 9 author per 10,000 1 dialect per 10,000 faces 9 author per 10,000 1 dialect per 10,000 hardly 9 author per 10,000 2 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 5 dialect per 10,000 bush 9 author per 10,000 0 dialect per 10,000 much 9 author per 10,000 2 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 had 9 author per 10,000 2 dialect per 10,000 mony 9 author per 10,000 4 dialect per 10,000 which 9 author per 10,000 1 dialect per 10,000 yersel 9 author per 10,000 0 dialect per 10,000 livin 9 author per 10,000 3 dialect per 10,000 fitiver 9 author per 10,000 0 dialect per 10,000 mither 9 author per 10,000 0 dialect per 10,000 days 9 author per 10,000 3 dialect per 10,000 aff 9 author per 10,000 18 dialect per 10,000 made 9 author per 10,000 1 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 1 dialect per 10,000 same 9 author per 10,000 0 dialect per 10,000 and 9 author per 10,000 15 dialect per 10,000 become 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 4 dialect per 10,000 itsel 9 author per 10,000 1 dialect per 10,000 aye 9 author per 10,000 11 dialect per 10,000 lips 9 author per 10,000 0 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 5 dialect per 10,000 too 9 author per 10,000 3 dialect per 10,000 against 9 author per 10,000 1 dialect per 10,000 shadows 9 author per 10,000 0 dialect per 10,000 airms 9 author per 10,000 2 dialect per 10,000 country 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 11 dialect per 10,000 young 9 author per 10,000 6 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 5 dialect per 10,000 ither 7 author per 10,000 0 dialect per 10,000 yird 7 author per 10,000 0 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 7 dialect per 10,000 air 7 author per 10,000 2 dialect per 10,000 loved 7 author per 10,000 1 dialect per 10,000 edge 7 author per 10,000 0 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 19 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 0 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 last 7 author per 10,000 6 dialect per 10,000 took 7 author per 10,000 9 dialect per 10,000 rock 7 author per 10,000 1 dialect per 10,000 bleed 7 author per 10,000 0 dialect per 10,000 thegither 7 author per 10,000 0 dialect per 10,000 turnin 7 author per 10,000 1 dialect per 10,000 himsel 7 author per 10,000 5 dialect per 10,000 winter 7 author per 10,000 2 dialect per 10,000 return 7 author per 10,000 0 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 2 dialect per 10,000 vast 7 author per 10,000 0 dialect per 10,000 closer 7 author per 10,000 0 dialect per 10,000 mind 7 author per 10,000 10 dialect per 10,000 sheen 7 author per 10,000 0 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 13 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 1 dialect per 10,000 roon 7 author per 10,000 0 dialect per 10,000 lap 7 author per 10,000 0 dialect per 10,000 sat 7 author per 10,000 3 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 0 dialect per 10,000 born 7 author per 10,000 1 dialect per 10,000 yalla 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 0 dialect per 10,000 		Orkney
the 714 author per 10,000 582 dialect per 10,000 o 363 author per 10,000 202 dialect per 10,000 an 317 author per 10,000 172 dialect per 10,000 tae 264 author per 10,000 223 dialect per 10,000 a 191 author per 10,000 298 dialect per 10,000 in 182 author per 10,000 146 dialect per 10,000 their 124 author per 10,000 8 dialect per 10,000 as 117 author per 10,000 48 dialect per 10,000 ye 115 author per 10,000 17 dialect per 10,000 for 111 author per 10,000 26 dialect per 10,000 wi 100 author per 10,000 46 dialect per 10,000 that 98 author per 10,000 75 dialect per 10,000 yer 93 author per 10,000 7 dialect per 10,000 on 84 author per 10,000 73 dialect per 10,000 he 80 author per 10,000 85 dialect per 10,000 his 78 author per 10,000 61 dialect per 10,000 like 73 author per 10,000 31 dialect per 10,000 she 69 author per 10,000 9 dialect per 10,000 aa 66 author per 10,000 8 dialect per 10,000 fae 64 author per 10,000 39 dialect per 10,000 ah 55 author per 10,000 2 dialect per 10,000 ma 55 author per 10,000 1 dialect per 10,000 at 49 author per 10,000 54 dialect per 10,000 wis 47 author per 10,000 80 dialect per 10,000 her 44 author per 10,000 49 dialect per 10,000 it 44 author per 10,000 23 dialect per 10,000 by 42 author per 10,000 16 dialect per 10,000 hiv 40 author per 10,000 13 dialect per 10,000 is 35 author per 10,000 71 dialect per 10,000 they 33 author per 10,000 37 dialect per 10,000 them 33 author per 10,000 18 dialect per 10,000 far 31 author per 10,000 4 dialect per 10,000 fan 31 author per 10,000 0 dialect per 10,000 while 31 author per 10,000 6 dialect per 10,000 be 29 author per 10,000 42 dialect per 10,000 if 29 author per 10,000 15 dialect per 10,000 it's 29 author per 10,000 4 dialect per 10,000 een 29 author per 10,000 4 dialect per 10,000 him 29 author per 10,000 21 dialect per 10,000 were 29 author per 10,000 6 dialect per 10,000 life 29 author per 10,000 7 dialect per 10,000 this 29 author per 10,000 34 dialect per 10,000 are 27 author per 10,000 14 dialect per 10,000 nae 27 author per 10,000 3 dialect per 10,000 aroon 27 author per 10,000 2 dialect per 10,000 warld 24 author per 10,000 1 dialect per 10,000 intae 24 author per 10,000 18 dialect per 10,000 only 24 author per 10,000 7 dialect per 10,000 oor 24 author per 10,000 2 dialect per 10,000 day 24 author per 10,000 20 dialect per 10,000 up 24 author per 10,000 34 dialect per 10,000 me 24 author per 10,000 115 dialect per 10,000 time 24 author per 10,000 18 dialect per 10,000 oot 22 author per 10,000 50 dialect per 10,000 blue 22 author per 10,000 5 dialect per 10,000 wee 22 author per 10,000 1 dialect per 10,000 its 22 author per 10,000 2 dialect per 10,000 ane 20 author per 10,000 1 dialect per 10,000 but 20 author per 10,000 28 dialect per 10,000 till 20 author per 10,000 8 dialect per 10,000 ower 20 author per 10,000 18 dialect per 10,000 back 20 author per 10,000 26 dialect per 10,000 we 20 author per 10,000 29 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 sea 20 author per 10,000 8 dialect per 10,000 through 20 author per 10,000 9 dialect per 10,000 ain 18 author per 10,000 0 dialect per 10,000 aboot 18 author per 10,000 26 dialect per 10,000 afore 18 author per 10,000 12 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 12 dialect per 10,000 sae 18 author per 10,000 1 dialect per 10,000 across 18 author per 10,000 4 dialect per 10,000 can 18 author per 10,000 13 dialect per 10,000 green 18 author per 10,000 5 dialect per 10,000 then 18 author per 10,000 18 dialect per 10,000 ah'm 18 author per 10,000 20 dialect per 10,000 these 18 author per 10,000 2 dialect per 10,000 licht 18 author per 10,000 0 dialect per 10,000 reid 18 author per 10,000 2 dialect per 10,000 been 18 author per 10,000 18 dialect per 10,000 jist 16 author per 10,000 3 dialect per 10,000 there 16 author per 10,000 18 dialect per 10,000 has 16 author per 10,000 1 dialect per 10,000 ye'd 16 author per 10,000 0 dialect per 10,000 war 16 author per 10,000 1 dialect per 10,000 atween 16 author per 10,000 5 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 kent 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 first 13 author per 10,000 7 dialect per 10,000 hid 13 author per 10,000 91 dialect per 10,000 richt 13 author per 10,000 0 dialect per 10,000 there's 13 author per 10,000 9 dialect per 10,000 ony 13 author per 10,000 2 dialect per 10,000 could 13 author per 10,000 13 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 spik 13 author per 10,000 0 dialect per 10,000 hairt 13 author per 10,000 1 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 1 dialect per 10,000 cam 13 author per 10,000 8 dialect per 10,000 face 13 author per 10,000 7 dialect per 10,000 even 13 author per 10,000 6 dialect per 10,000 to 13 author per 10,000 8 dialect per 10,000 wad 13 author per 10,000 2 dialect per 10,000 sky 13 author per 10,000 4 dialect per 10,000 wide 11 author per 10,000 1 dialect per 10,000 black 11 author per 10,000 6 dialect per 10,000 mair 11 author per 10,000 1 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 6 dialect per 10,000 nivver 11 author per 10,000 8 dialect per 10,000 still 11 author per 10,000 12 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 28 dialect per 10,000 - 11 author per 10,000 76 dialect per 10,000 sun 11 author per 10,000 3 dialect per 10,000 mak 11 author per 10,000 9 dialect per 10,000 will 11 author per 10,000 12 dialect per 10,000 says 11 author per 10,000 15 dialect per 10,000 late 9 author per 10,000 1 dialect per 10,000 faces 9 author per 10,000 1 dialect per 10,000 hardly 9 author per 10,000 1 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 4 dialect per 10,000 bush 9 author per 10,000 0 dialect per 10,000 much 9 author per 10,000 6 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 had 9 author per 10,000 3 dialect per 10,000 mony 9 author per 10,000 1 dialect per 10,000 which 9 author per 10,000 1 dialect per 10,000 yersel 9 author per 10,000 1 dialect per 10,000 livin 9 author per 10,000 0 dialect per 10,000 fitiver 9 author per 10,000 0 dialect per 10,000 mither 9 author per 10,000 5 dialect per 10,000 days 9 author per 10,000 5 dialect per 10,000 aff 9 author per 10,000 8 dialect per 10,000 made 9 author per 10,000 3 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 0 dialect per 10,000 same 9 author per 10,000 3 dialect per 10,000 and 9 author per 10,000 199 dialect per 10,000 become 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 2 dialect per 10,000 itsel 9 author per 10,000 0 dialect per 10,000 aye 9 author per 10,000 9 dialect per 10,000 lips 9 author per 10,000 1 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 5 dialect per 10,000 too 9 author per 10,000 9 dialect per 10,000 against 9 author per 10,000 2 dialect per 10,000 shadows 9 author per 10,000 1 dialect per 10,000 airms 9 author per 10,000 2 dialect per 10,000 country 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 young 9 author per 10,000 4 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 7 dialect per 10,000 ither 7 author per 10,000 9 dialect per 10,000 yird 7 author per 10,000 0 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 1 dialect per 10,000 air 7 author per 10,000 4 dialect per 10,000 loved 7 author per 10,000 2 dialect per 10,000 edge 7 author per 10,000 1 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 27 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 0 dialect per 10,000 felt 7 author per 10,000 3 dialect per 10,000 last 7 author per 10,000 8 dialect per 10,000 took 7 author per 10,000 3 dialect per 10,000 rock 7 author per 10,000 1 dialect per 10,000 bleed 7 author per 10,000 0 dialect per 10,000 thegither 7 author per 10,000 0 dialect per 10,000 turnin 7 author per 10,000 0 dialect per 10,000 himsel 7 author per 10,000 1 dialect per 10,000 winter 7 author per 10,000 3 dialect per 10,000 return 7 author per 10,000 1 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 3 dialect per 10,000 vast 7 author per 10,000 1 dialect per 10,000 closer 7 author per 10,000 0 dialect per 10,000 mind 7 author per 10,000 9 dialect per 10,000 sheen 7 author per 10,000 0 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 17 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 1 dialect per 10,000 roon 7 author per 10,000 2 dialect per 10,000 lap 7 author per 10,000 1 dialect per 10,000 sat 7 author per 10,000 4 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 9 dialect per 10,000 born 7 author per 10,000 1 dialect per 10,000 yalla 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 2 dialect per 10,000
Southern
the 714 author per 10,000 449 dialect per 10,000 o 363 author per 10,000 200 dialect per 10,000 an 317 author per 10,000 289 dialect per 10,000 tae 264 author per 10,000 206 dialect per 10,000 a 191 author per 10,000 230 dialect per 10,000 in 182 author per 10,000 107 dialect per 10,000 their 124 author per 10,000 14 dialect per 10,000 as 117 author per 10,000 50 dialect per 10,000 ye 115 author per 10,000 21 dialect per 10,000 for 111 author per 10,000 22 dialect per 10,000 wi 100 author per 10,000 66 dialect per 10,000 that 98 author per 10,000 65 dialect per 10,000 yer 93 author per 10,000 17 dialect per 10,000 on 84 author per 10,000 55 dialect per 10,000 he 80 author per 10,000 12 dialect per 10,000 his 78 author per 10,000 37 dialect per 10,000 like 73 author per 10,000 8 dialect per 10,000 she 69 author per 10,000 91 dialect per 10,000 aa 66 author per 10,000 10 dialect per 10,000 fae 64 author per 10,000 0 dialect per 10,000 ah 55 author per 10,000 75 dialect per 10,000 ma 55 author per 10,000 59 dialect per 10,000 at 49 author per 10,000 69 dialect per 10,000 wis 47 author per 10,000 54 dialect per 10,000 her 44 author per 10,000 17 dialect per 10,000 it 44 author per 10,000 63 dialect per 10,000 by 42 author per 10,000 5 dialect per 10,000 hiv 40 author per 10,000 0 dialect per 10,000 is 35 author per 10,000 62 dialect per 10,000 they 33 author per 10,000 31 dialect per 10,000 them 33 author per 10,000 5 dialect per 10,000 far 31 author per 10,000 2 dialect per 10,000 fan 31 author per 10,000 2 dialect per 10,000 while 31 author per 10,000 5 dialect per 10,000 be 29 author per 10,000 13 dialect per 10,000 if 29 author per 10,000 17 dialect per 10,000 it's 29 author per 10,000 8 dialect per 10,000 een 29 author per 10,000 2 dialect per 10,000 him 29 author per 10,000 11 dialect per 10,000 were 29 author per 10,000 15 dialect per 10,000 life 29 author per 10,000 6 dialect per 10,000 this 29 author per 10,000 35 dialect per 10,000 are 27 author per 10,000 9 dialect per 10,000 nae 27 author per 10,000 25 dialect per 10,000 aroon 27 author per 10,000 0 dialect per 10,000 warld 24 author per 10,000 3 dialect per 10,000 intae 24 author per 10,000 10 dialect per 10,000 only 24 author per 10,000 7 dialect per 10,000 oor 24 author per 10,000 11 dialect per 10,000 day 24 author per 10,000 17 dialect per 10,000 up 24 author per 10,000 41 dialect per 10,000 me 24 author per 10,000 16 dialect per 10,000 time 24 author per 10,000 14 dialect per 10,000 oot 22 author per 10,000 34 dialect per 10,000 blue 22 author per 10,000 2 dialect per 10,000 wee 22 author per 10,000 23 dialect per 10,000 its 22 author per 10,000 8 dialect per 10,000 ane 20 author per 10,000 8 dialect per 10,000 but 20 author per 10,000 42 dialect per 10,000 till 20 author per 10,000 4 dialect per 10,000 ower 20 author per 10,000 13 dialect per 10,000 back 20 author per 10,000 19 dialect per 10,000 we 20 author per 10,000 10 dialect per 10,000 fa 20 author per 10,000 1 dialect per 10,000 sea 20 author per 10,000 3 dialect per 10,000 through 20 author per 10,000 2 dialect per 10,000 ain 18 author per 10,000 9 dialect per 10,000 aboot 18 author per 10,000 29 dialect per 10,000 afore 18 author per 10,000 16 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 2 dialect per 10,000 sae 18 author per 10,000 28 dialect per 10,000 across 18 author per 10,000 1 dialect per 10,000 can 18 author per 10,000 10 dialect per 10,000 green 18 author per 10,000 2 dialect per 10,000 then 18 author per 10,000 17 dialect per 10,000 ah'm 18 author per 10,000 9 dialect per 10,000 these 18 author per 10,000 2 dialect per 10,000 licht 18 author per 10,000 2 dialect per 10,000 reid 18 author per 10,000 1 dialect per 10,000 been 18 author per 10,000 10 dialect per 10,000 jist 16 author per 10,000 11 dialect per 10,000 there 16 author per 10,000 16 dialect per 10,000 has 16 author per 10,000 2 dialect per 10,000 ye'd 16 author per 10,000 0 dialect per 10,000 war 16 author per 10,000 5 dialect per 10,000 atween 16 author per 10,000 5 dialect per 10,000 wye 16 author per 10,000 0 dialect per 10,000 kent 13 author per 10,000 11 dialect per 10,000 seen 13 author per 10,000 5 dialect per 10,000 first 13 author per 10,000 2 dialect per 10,000 hid 13 author per 10,000 0 dialect per 10,000 richt 13 author per 10,000 18 dialect per 10,000 there's 13 author per 10,000 7 dialect per 10,000 ony 13 author per 10,000 7 dialect per 10,000 could 13 author per 10,000 13 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 spik 13 author per 10,000 0 dialect per 10,000 hairt 13 author per 10,000 0 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 14 dialect per 10,000 cam 13 author per 10,000 3 dialect per 10,000 face 13 author per 10,000 5 dialect per 10,000 even 13 author per 10,000 5 dialect per 10,000 to 13 author per 10,000 1 dialect per 10,000 wad 13 author per 10,000 6 dialect per 10,000 sky 13 author per 10,000 2 dialect per 10,000 wide 11 author per 10,000 1 dialect per 10,000 black 11 author per 10,000 1 dialect per 10,000 mair 11 author per 10,000 16 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 5 dialect per 10,000 nivver 11 author per 10,000 1 dialect per 10,000 still 11 author per 10,000 7 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 24 dialect per 10,000 - 11 author per 10,000 29 dialect per 10,000 sun 11 author per 10,000 3 dialect per 10,000 mak 11 author per 10,000 7 dialect per 10,000 will 11 author per 10,000 3 dialect per 10,000 says 11 author per 10,000 3 dialect per 10,000 late 9 author per 10,000 3 dialect per 10,000 faces 9 author per 10,000 1 dialect per 10,000 hardly 9 author per 10,000 0 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 2 dialect per 10,000 bush 9 author per 10,000 1 dialect per 10,000 much 9 author per 10,000 6 dialect per 10,000 auld 9 author per 10,000 22 dialect per 10,000 had 9 author per 10,000 0 dialect per 10,000 mony 9 author per 10,000 3 dialect per 10,000 which 9 author per 10,000 8 dialect per 10,000 yersel 9 author per 10,000 2 dialect per 10,000 livin 9 author per 10,000 0 dialect per 10,000 fitiver 9 author per 10,000 0 dialect per 10,000 mither 9 author per 10,000 1 dialect per 10,000 days 9 author per 10,000 7 dialect per 10,000 aff 9 author per 10,000 4 dialect per 10,000 made 9 author per 10,000 6 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 0 dialect per 10,000 same 9 author per 10,000 6 dialect per 10,000 and 9 author per 10,000 33 dialect per 10,000 become 9 author per 10,000 1 dialect per 10,000 years 9 author per 10,000 5 dialect per 10,000 itsel 9 author per 10,000 4 dialect per 10,000 aye 9 author per 10,000 11 dialect per 10,000 lips 9 author per 10,000 1 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 6 dialect per 10,000 too 9 author per 10,000 0 dialect per 10,000 against 9 author per 10,000 0 dialect per 10,000 shadows 9 author per 10,000 0 dialect per 10,000 airms 9 author per 10,000 1 dialect per 10,000 country 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 17 dialect per 10,000 young 9 author per 10,000 3 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 3 dialect per 10,000 ither 7 author per 10,000 12 dialect per 10,000 yird 7 author per 10,000 2 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 0 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 4 dialect per 10,000 air 7 author per 10,000 3 dialect per 10,000 loved 7 author per 10,000 0 dialect per 10,000 edge 7 author per 10,000 0 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 16 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 3 dialect per 10,000 felt 7 author per 10,000 4 dialect per 10,000 last 7 author per 10,000 5 dialect per 10,000 took 7 author per 10,000 4 dialect per 10,000 rock 7 author per 10,000 0 dialect per 10,000 bleed 7 author per 10,000 0 dialect per 10,000 thegither 7 author per 10,000 3 dialect per 10,000 turnin 7 author per 10,000 2 dialect per 10,000 himsel 7 author per 10,000 2 dialect per 10,000 winter 7 author per 10,000 1 dialect per 10,000 return 7 author per 10,000 0 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 2 dialect per 10,000 vast 7 author per 10,000 0 dialect per 10,000 closer 7 author per 10,000 0 dialect per 10,000 mind 7 author per 10,000 8 dialect per 10,000 sheen 7 author per 10,000 0 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 12 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 0 dialect per 10,000 roon 7 author per 10,000 2 dialect per 10,000 lap 7 author per 10,000 1 dialect per 10,000 sat 7 author per 10,000 4 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 5 dialect per 10,000 born 7 author per 10,000 3 dialect per 10,000 yalla 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000 		Ulster
the 714 author per 10,000 345 dialect per 10,000 o 363 author per 10,000 208 dialect per 10,000 an 317 author per 10,000 358 dialect per 10,000 tae 264 author per 10,000 253 dialect per 10,000 a 191 author per 10,000 287 dialect per 10,000 in 182 author per 10,000 121 dialect per 10,000 their 124 author per 10,000 5 dialect per 10,000 as 117 author per 10,000 31 dialect per 10,000 ye 115 author per 10,000 79 dialect per 10,000 for 111 author per 10,000 30 dialect per 10,000 wi 100 author per 10,000 63 dialect per 10,000 that 98 author per 10,000 71 dialect per 10,000 yer 93 author per 10,000 37 dialect per 10,000 on 84 author per 10,000 57 dialect per 10,000 he 80 author per 10,000 62 dialect per 10,000 his 78 author per 10,000 25 dialect per 10,000 like 73 author per 10,000 9 dialect per 10,000 she 69 author per 10,000 31 dialect per 10,000 aa 66 author per 10,000 41 dialect per 10,000 fae 64 author per 10,000 13 dialect per 10,000 ah 55 author per 10,000 11 dialect per 10,000 ma 55 author per 10,000 23 dialect per 10,000 at 49 author per 10,000 58 dialect per 10,000 wis 47 author per 10,000 1 dialect per 10,000 her 44 author per 10,000 8 dialect per 10,000 it 44 author per 10,000 73 dialect per 10,000 by 42 author per 10,000 7 dialect per 10,000 hiv 40 author per 10,000 0 dialect per 10,000 is 35 author per 10,000 18 dialect per 10,000 they 33 author per 10,000 26 dialect per 10,000 them 33 author per 10,000 8 dialect per 10,000 far 31 author per 10,000 5 dialect per 10,000 fan 31 author per 10,000 1 dialect per 10,000 while 31 author per 10,000 5 dialect per 10,000 be 29 author per 10,000 39 dialect per 10,000 if 29 author per 10,000 14 dialect per 10,000 it's 29 author per 10,000 14 dialect per 10,000 een 29 author per 10,000 8 dialect per 10,000 him 29 author per 10,000 11 dialect per 10,000 were 29 author per 10,000 4 dialect per 10,000 life 29 author per 10,000 5 dialect per 10,000 this 29 author per 10,000 27 dialect per 10,000 are 27 author per 10,000 4 dialect per 10,000 nae 27 author per 10,000 22 dialect per 10,000 aroon 27 author per 10,000 3 dialect per 10,000 warld 24 author per 10,000 0 dialect per 10,000 intae 24 author per 10,000 14 dialect per 10,000 only 24 author per 10,000 3 dialect per 10,000 oor 24 author per 10,000 15 dialect per 10,000 day 24 author per 10,000 15 dialect per 10,000 up 24 author per 10,000 32 dialect per 10,000 me 24 author per 10,000 24 dialect per 10,000 time 24 author per 10,000 13 dialect per 10,000 oot 22 author per 10,000 49 dialect per 10,000 blue 22 author per 10,000 1 dialect per 10,000 wee 22 author per 10,000 27 dialect per 10,000 its 22 author per 10,000 8 dialect per 10,000 ane 20 author per 10,000 0 dialect per 10,000 but 20 author per 10,000 41 dialect per 10,000 till 20 author per 10,000 1 dialect per 10,000 ower 20 author per 10,000 18 dialect per 10,000 back 20 author per 10,000 2 dialect per 10,000 we 20 author per 10,000 18 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 sea 20 author per 10,000 2 dialect per 10,000 through 20 author per 10,000 3 dialect per 10,000 ain 18 author per 10,000 14 dialect per 10,000 aboot 18 author per 10,000 27 dialect per 10,000 afore 18 author per 10,000 12 dialect per 10,000 joan 18 author per 10,000 0 dialect per 10,000 again 18 author per 10,000 3 dialect per 10,000 sae 18 author per 10,000 25 dialect per 10,000 across 18 author per 10,000 1 dialect per 10,000 can 18 author per 10,000 15 dialect per 10,000 green 18 author per 10,000 1 dialect per 10,000 then 18 author per 10,000 17 dialect per 10,000 ah'm 18 author per 10,000 1 dialect per 10,000 these 18 author per 10,000 5 dialect per 10,000 licht 18 author per 10,000 5 dialect per 10,000 reid 18 author per 10,000 0 dialect per 10,000 been 18 author per 10,000 2 dialect per 10,000 jist 16 author per 10,000 8 dialect per 10,000 there 16 author per 10,000 8 dialect per 10,000 has 16 author per 10,000 1 dialect per 10,000 ye'd 16 author per 10,000 1 dialect per 10,000 war 16 author per 10,000 1 dialect per 10,000 atween 16 author per 10,000 4 dialect per 10,000 wye 16 author per 10,000 13 dialect per 10,000 kent 13 author per 10,000 1 dialect per 10,000 seen 13 author per 10,000 4 dialect per 10,000 first 13 author per 10,000 2 dialect per 10,000 hid 13 author per 10,000 0 dialect per 10,000 richt 13 author per 10,000 13 dialect per 10,000 there's 13 author per 10,000 2 dialect per 10,000 ony 13 author per 10,000 1 dialect per 10,000 could 13 author per 10,000 1 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 spik 13 author per 10,000 0 dialect per 10,000 hairt 13 author per 10,000 5 dialect per 10,000 twaa 13 author per 10,000 0 dialect per 10,000 awa 13 author per 10,000 17 dialect per 10,000 cam 13 author per 10,000 0 dialect per 10,000 face 13 author per 10,000 4 dialect per 10,000 even 13 author per 10,000 4 dialect per 10,000 to 13 author per 10,000 3 dialect per 10,000 wad 13 author per 10,000 1 dialect per 10,000 sky 13 author per 10,000 2 dialect per 10,000 wide 11 author per 10,000 0 dialect per 10,000 black 11 author per 10,000 0 dialect per 10,000 mair 11 author per 10,000 27 dialect per 10,000 spit 11 author per 10,000 0 dialect per 10,000 us 11 author per 10,000 4 dialect per 10,000 nivver 11 author per 10,000 0 dialect per 10,000 still 11 author per 10,000 4 dialect per 10,000 despite 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 28 dialect per 10,000 - 11 author per 10,000 25 dialect per 10,000 sun 11 author per 10,000 1 dialect per 10,000 mak 11 author per 10,000 10 dialect per 10,000 will 11 author per 10,000 2 dialect per 10,000 says 11 author per 10,000 3 dialect per 10,000 late 9 author per 10,000 1 dialect per 10,000 faces 9 author per 10,000 0 dialect per 10,000 hardly 9 author per 10,000 0 dialect per 10,000 wisdom 9 author per 10,000 0 dialect per 10,000 every 9 author per 10,000 0 dialect per 10,000 bush 9 author per 10,000 0 dialect per 10,000 much 9 author per 10,000 3 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 had 9 author per 10,000 22 dialect per 10,000 mony 9 author per 10,000 1 dialect per 10,000 which 9 author per 10,000 0 dialect per 10,000 yersel 9 author per 10,000 4 dialect per 10,000 livin 9 author per 10,000 0 dialect per 10,000 fitiver 9 author per 10,000 0 dialect per 10,000 mither 9 author per 10,000 3 dialect per 10,000 days 9 author per 10,000 5 dialect per 10,000 aff 9 author per 10,000 14 dialect per 10,000 made 9 author per 10,000 6 dialect per 10,000 netter 9 author per 10,000 0 dialect per 10,000 faimily 9 author per 10,000 0 dialect per 10,000 same 9 author per 10,000 5 dialect per 10,000 and 9 author per 10,000 10 dialect per 10,000 become 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 2 dialect per 10,000 itsel 9 author per 10,000 2 dialect per 10,000 aye 9 author per 10,000 13 dialect per 10,000 lips 9 author per 10,000 1 dialect per 10,000 auler 9 author per 10,000 0 dialect per 10,000 white 9 author per 10,000 4 dialect per 10,000 too 9 author per 10,000 1 dialect per 10,000 against 9 author per 10,000 0 dialect per 10,000 shadows 9 author per 10,000 0 dialect per 10,000 airms 9 author per 10,000 2 dialect per 10,000 country 9 author per 10,000 1 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 young 9 author per 10,000 3 dialect per 10,000 catterline 7 author per 10,000 0 dialect per 10,000 keep 7 author per 10,000 3 dialect per 10,000 ither 7 author per 10,000 14 dialect per 10,000 yird 7 author per 10,000 0 dialect per 10,000 fires 7 author per 10,000 0 dialect per 10,000 people 7 author per 10,000 1 dialect per 10,000 drawn 7 author per 10,000 0 dialect per 10,000 bein 7 author per 10,000 4 dialect per 10,000 air 7 author per 10,000 2 dialect per 10,000 loved 7 author per 10,000 0 dialect per 10,000 edge 7 author per 10,000 0 dialect per 10,000 glesga 7 author per 10,000 0 dialect per 10,000 noo 7 author per 10,000 22 dialect per 10,000 heughs 7 author per 10,000 0 dialect per 10,000 spring 7 author per 10,000 1 dialect per 10,000 felt 7 author per 10,000 1 dialect per 10,000 last 7 author per 10,000 4 dialect per 10,000 took 7 author per 10,000 1 dialect per 10,000 rock 7 author per 10,000 0 dialect per 10,000 bleed 7 author per 10,000 0 dialect per 10,000 thegither 7 author per 10,000 3 dialect per 10,000 turnin 7 author per 10,000 1 dialect per 10,000 himsel 7 author per 10,000 1 dialect per 10,000 winter 7 author per 10,000 0 dialect per 10,000 return 7 author per 10,000 0 dialect per 10,000 women 7 author per 10,000 0 dialect per 10,000 dry 7 author per 10,000 1 dialect per 10,000 vast 7 author per 10,000 0 dialect per 10,000 closer 7 author per 10,000 0 dialect per 10,000 mind 7 author per 10,000 2 dialect per 10,000 sheen 7 author per 10,000 0 dialect per 10,000 polish 7 author per 10,000 0 dialect per 10,000 some 7 author per 10,000 7 dialect per 10,000 grew 7 author per 10,000 1 dialect per 10,000 offer 7 author per 10,000 1 dialect per 10,000 roon 7 author per 10,000 10 dialect per 10,000 lap 7 author per 10,000 0 dialect per 10,000 sat 7 author per 10,000 1 dialect per 10,000 mornins 7 author per 10,000 0 dialect per 10,000 that's 7 author per 10,000 7 dialect per 10,000 born 7 author per 10,000 0 dialect per 10,000 yalla 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000