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 -

Goodall, Phyllis J.


Total words by this author in corpus - 3,556
Total unique words used by this author in corpus - 1,110
Ratio of total words to unique words - 3.204
Top ten most common words - the, an, a, o, ti, ye, in, €™, at, wis,

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 627 author per 10,000 565 dialect per 10,000 an 329 author per 10,000 225 dialect per 10,000 a 284 author per 10,000 266 dialect per 10,000 o 242 author per 10,000 185 dialect per 10,000 ti 191 author per 10,000 18 dialect per 10,000 ye 166 author per 10,000 62 dialect per 10,000 in 155 author per 10,000 147 dialect per 10,000 €™ 155 author per 10,000 39 dialect per 10,000 at 138 author per 10,000 59 dialect per 10,000 wis 127 author per 10,000 97 dialect per 10,000 that 107 author per 10,000 106 dialect per 10,000 his 98 author per 10,000 59 dialect per 10,000 wi 96 author per 10,000 67 dialect per 10,000 fit 96 author per 10,000 2 dialect per 10,000 it 90 author per 10,000 116 dialect per 10,000 for 87 author per 10,000 48 dialect per 10,000 will 82 author per 10,000 10 dialect per 10,000 bennachie 79 author per 10,000 0 dialect per 10,000 be 79 author per 10,000 48 dialect per 10,000 he 79 author per 10,000 87 dialect per 10,000 on 79 author per 10,000 55 dialect per 10,000 aa 73 author per 10,000 14 dialect per 10,000 bit 70 author per 10,000 18 dialect per 10,000 i 62 author per 10,000 39 dialect per 10,000 yer 59 author per 10,000 21 dialect per 10,000 she 59 author per 10,000 56 dialect per 10,000 €™s 59 author per 10,000 32 dialect per 10,000 there 56 author per 10,000 23 dialect per 10,000 her 56 author per 10,000 46 dialect per 10,000 nae 53 author per 10,000 24 dialect per 10,000 fin 51 author per 10,000 1 dialect per 10,000 or 48 author per 10,000 29 dialect per 10,000 grandad 48 author per 10,000 0 dialect per 10,000 they 48 author per 10,000 41 dialect per 10,000 oot 45 author per 10,000 40 dialect per 10,000 we 39 author per 10,000 33 dialect per 10,000 like 39 author per 10,000 28 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 8 dialect per 10,000 as 37 author per 10,000 59 dialect per 10,000 faar 34 author per 10,000 0 dialect per 10,000 hid 34 author per 10,000 2 dialect per 10,000 is 34 author per 10,000 58 dialect per 10,000 aboot 34 author per 10,000 29 dialect per 10,000 get 31 author per 10,000 14 dialect per 10,000 said 31 author per 10,000 40 dialect per 10,000 fowk 31 author per 10,000 12 dialect per 10,000 their 28 author per 10,000 19 dialect per 10,000 aal 28 author per 10,000 0 dialect per 10,000 syne 28 author per 10,000 6 dialect per 10,000 up 28 author per 10,000 40 dialect per 10,000 cam 28 author per 10,000 8 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 14 dialect per 10,000 lang 25 author per 10,000 10 dialect per 10,000 see 25 author per 10,000 17 dialect per 10,000 roon 25 author per 10,000 4 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 211 dialect per 10,000 dinna 22 author per 10,000 4 dialect per 10,000 widna 22 author per 10,000 0 dialect per 10,000 did 22 author per 10,000 9 dialect per 10,000 me 22 author per 10,000 40 dialect per 10,000 til 22 author per 10,000 5 dialect per 10,000 nicht 20 author per 10,000 6 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 fine 20 author per 10,000 3 dialect per 10,000 him 20 author per 10,000 29 dialect per 10,000 hame 20 author per 10,000 6 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 0 dialect per 10,000 baabie 20 author per 10,000 0 dialect per 10,000 there's 20 author per 10,000 5 dialect per 10,000 this 20 author per 10,000 41 dialect per 10,000 doon 20 author per 10,000 18 dialect per 10,000 jock 20 author per 10,000 2 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 €™ll 20 author per 10,000 4 dialect per 10,000 mair 20 author per 10,000 20 dialect per 10,000 big 17 author per 10,000 8 dialect per 10,000 you 17 author per 10,000 15 dialect per 10,000 been 17 author per 10,000 18 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 8 dialect per 10,000 nichts 17 author per 10,000 0 dialect per 10,000 adam 17 author per 10,000 1 dialect per 10,000 awa 17 author per 10,000 12 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 sit 14 author per 10,000 2 dialect per 10,000 hae 14 author per 10,000 23 dialect per 10,000 ain 14 author per 10,000 10 dialect per 10,000 them 14 author per 10,000 18 dialect per 10,000 ken 14 author per 10,000 14 dialect per 10,000 days 14 author per 10,000 5 dialect per 10,000 sun 14 author per 10,000 2 dialect per 10,000 back 14 author per 10,000 20 dialect per 10,000 mid 14 author per 10,000 0 dialect per 10,000 ower 14 author per 10,000 19 dialect per 10,000 gyang 14 author per 10,000 0 dialect per 10,000 if 14 author per 10,000 17 dialect per 10,000 quine 14 author per 10,000 0 dialect per 10,000 wisna 14 author per 10,000 2 dialect per 10,000 simmer 14 author per 10,000 1 dialect per 10,000 father 14 author per 10,000 0 dialect per 10,000 ancient 14 author per 10,000 0 dialect per 10,000 and 14 author per 10,000 94 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 14 dialect per 10,000 are 14 author per 10,000 17 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 1 dialect per 10,000 spak 11 author per 10,000 1 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 paper 11 author per 10,000 2 dialect per 10,000 local 11 author per 10,000 1 dialect per 10,000 aye 11 author per 10,000 16 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 0 dialect per 10,000 wullie 11 author per 10,000 1 dialect per 10,000 sic 11 author per 10,000 5 dialect per 10,000 man 11 author per 10,000 11 dialect per 10,000 gid 11 author per 10,000 1 dialect per 10,000 stanes 11 author per 10,000 1 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 3 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 4 dialect per 10,000 looket 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 8 dialect per 10,000 week 11 author per 10,000 2 dialect per 10,000 company 11 author per 10,000 1 dialect per 10,000 siller 11 author per 10,000 3 dialect per 10,000 needin 11 author per 10,000 1 dialect per 10,000 keep 11 author per 10,000 5 dialect per 10,000 jist 11 author per 10,000 20 dialect per 10,000 war 11 author per 10,000 4 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 6 dialect per 10,000 lookin 11 author per 10,000 3 dialect per 10,000 need 11 author per 10,000 5 dialect per 10,000 wint 11 author per 10,000 0 dialect per 10,000 hoose 11 author per 10,000 7 dialect per 10,000 day 11 author per 10,000 14 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 6 dialect per 10,000 so 11 author per 10,000 10 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 fae 11 author per 10,000 26 dialect per 10,000 cooncil 11 author per 10,000 1 dialect per 10,000 speir 11 author per 10,000 1 dialect per 10,000 maan 11 author per 10,000 0 dialect per 10,000 says 11 author per 10,000 7 dialect per 10,000 could 11 author per 10,000 9 dialect per 10,000 ever 11 author per 10,000 3 dialect per 10,000 tourists 11 author per 10,000 0 dialect per 10,000 gie 8 author per 10,000 7 dialect per 10,000 turned 8 author per 10,000 1 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 10 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 0 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 0 dialect per 10,000 mony 8 author per 10,000 4 dialect per 10,000 oor 8 author per 10,000 15 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 2 dialect per 10,000 mi 8 author per 10,000 0 dialect per 10,000 himsel 8 author per 10,000 3 dialect per 10,000 fair 8 author per 10,000 4 dialect per 10,000 seen 8 author per 10,000 6 dialect per 10,000 lady 8 author per 10,000 1 dialect per 10,000 ither 8 author per 10,000 11 dialect per 10,000 rain 8 author per 10,000 1 dialect per 10,000 rock 8 author per 10,000 1 dialect per 10,000 wirds 8 author per 10,000 2 dialect per 10,000 win 8 author per 10,000 2 dialect per 10,000 speak 8 author per 10,000 2 dialect per 10,000 efter 8 author per 10,000 10 dialect per 10,000 gin 8 author per 10,000 7 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 0 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 4 dialect per 10,000 things 8 author per 10,000 5 dialect per 10,000 wear 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 gran 8 author per 10,000 1 dialect per 10,000 ging 8 author per 10,000 0 dialect per 10,000 by 8 author per 10,000 17 dialect per 10,000 turn 8 author per 10,000 2 dialect per 10,000 hale 8 author per 10,000 2 dialect per 10,000 first 8 author per 10,000 9 dialect per 10,000 		Doric
the 627 author per 10,000 452 dialect per 10,000 an 329 author per 10,000 306 dialect per 10,000 a 284 author per 10,000 315 dialect per 10,000 o 242 author per 10,000 176 dialect per 10,000 ti 191 author per 10,000 9 dialect per 10,000 ye 166 author per 10,000 93 dialect per 10,000 in 155 author per 10,000 130 dialect per 10,000 €™ 155 author per 10,000 10 dialect per 10,000 at 138 author per 10,000 67 dialect per 10,000 wis 127 author per 10,000 105 dialect per 10,000 that 107 author per 10,000 53 dialect per 10,000 his 98 author per 10,000 69 dialect per 10,000 wi 96 author per 10,000 77 dialect per 10,000 fit 96 author per 10,000 40 dialect per 10,000 it 90 author per 10,000 99 dialect per 10,000 for 87 author per 10,000 45 dialect per 10,000 will 82 author per 10,000 9 dialect per 10,000 bennachie 79 author per 10,000 1 dialect per 10,000 be 79 author per 10,000 45 dialect per 10,000 he 79 author per 10,000 96 dialect per 10,000 on 79 author per 10,000 67 dialect per 10,000 aa 73 author per 10,000 43 dialect per 10,000 bit 70 author per 10,000 43 dialect per 10,000 i 62 author per 10,000 68 dialect per 10,000 yer 59 author per 10,000 35 dialect per 10,000 she 59 author per 10,000 66 dialect per 10,000 €™s 59 author per 10,000 21 dialect per 10,000 there 56 author per 10,000 22 dialect per 10,000 her 56 author per 10,000 64 dialect per 10,000 nae 53 author per 10,000 50 dialect per 10,000 fin 51 author per 10,000 19 dialect per 10,000 or 48 author per 10,000 26 dialect per 10,000 grandad 48 author per 10,000 0 dialect per 10,000 they 48 author per 10,000 36 dialect per 10,000 oot 45 author per 10,000 50 dialect per 10,000 we 39 author per 10,000 33 dialect per 10,000 like 39 author per 10,000 37 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 18 dialect per 10,000 as 37 author per 10,000 52 dialect per 10,000 faar 34 author per 10,000 1 dialect per 10,000 hid 34 author per 10,000 34 dialect per 10,000 is 34 author per 10,000 39 dialect per 10,000 aboot 34 author per 10,000 33 dialect per 10,000 get 31 author per 10,000 16 dialect per 10,000 said 31 author per 10,000 36 dialect per 10,000 fowk 31 author per 10,000 13 dialect per 10,000 their 28 author per 10,000 19 dialect per 10,000 aal 28 author per 10,000 3 dialect per 10,000 syne 28 author per 10,000 11 dialect per 10,000 up 28 author per 10,000 47 dialect per 10,000 cam 28 author per 10,000 12 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 4 dialect per 10,000 noo 25 author per 10,000 23 dialect per 10,000 lang 25 author per 10,000 13 dialect per 10,000 see 25 author per 10,000 21 dialect per 10,000 roon 25 author per 10,000 11 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 172 dialect per 10,000 dinna 22 author per 10,000 16 dialect per 10,000 widna 22 author per 10,000 4 dialect per 10,000 did 22 author per 10,000 10 dialect per 10,000 me 22 author per 10,000 32 dialect per 10,000 til 22 author per 10,000 3 dialect per 10,000 nicht 20 author per 10,000 12 dialect per 10,000 fa 20 author per 10,000 9 dialect per 10,000 fine 20 author per 10,000 11 dialect per 10,000 him 20 author per 10,000 30 dialect per 10,000 hame 20 author per 10,000 11 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 1 dialect per 10,000 baabie 20 author per 10,000 0 dialect per 10,000 there's 20 author per 10,000 3 dialect per 10,000 this 20 author per 10,000 19 dialect per 10,000 doon 20 author per 10,000 33 dialect per 10,000 jock 20 author per 10,000 3 dialect per 10,000 time 20 author per 10,000 19 dialect per 10,000 €™ll 20 author per 10,000 4 dialect per 10,000 mair 20 author per 10,000 17 dialect per 10,000 big 17 author per 10,000 6 dialect per 10,000 you 17 author per 10,000 17 dialect per 10,000 been 17 author per 10,000 13 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 14 dialect per 10,000 nichts 17 author per 10,000 1 dialect per 10,000 adam 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 21 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 sit 14 author per 10,000 2 dialect per 10,000 hae 14 author per 10,000 20 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 them 14 author per 10,000 23 dialect per 10,000 ken 14 author per 10,000 23 dialect per 10,000 days 14 author per 10,000 5 dialect per 10,000 sun 14 author per 10,000 2 dialect per 10,000 back 14 author per 10,000 21 dialect per 10,000 mid 14 author per 10,000 0 dialect per 10,000 ower 14 author per 10,000 30 dialect per 10,000 gyang 14 author per 10,000 3 dialect per 10,000 if 14 author per 10,000 16 dialect per 10,000 quine 14 author per 10,000 6 dialect per 10,000 wisna 14 author per 10,000 7 dialect per 10,000 simmer 14 author per 10,000 1 dialect per 10,000 father 14 author per 10,000 1 dialect per 10,000 ancient 14 author per 10,000 0 dialect per 10,000 and 14 author per 10,000 41 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 12 dialect per 10,000 are 14 author per 10,000 13 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 2 dialect per 10,000 spak 11 author per 10,000 1 dialect per 10,000 wye 11 author per 10,000 12 dialect per 10,000 paper 11 author per 10,000 2 dialect per 10,000 local 11 author per 10,000 1 dialect per 10,000 aye 11 author per 10,000 22 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 2 dialect per 10,000 wullie 11 author per 10,000 1 dialect per 10,000 sic 11 author per 10,000 5 dialect per 10,000 man 11 author per 10,000 7 dialect per 10,000 gid 11 author per 10,000 2 dialect per 10,000 stanes 11 author per 10,000 0 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 4 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 8 dialect per 10,000 looket 11 author per 10,000 1 dialect per 10,000 tak 11 author per 10,000 11 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 company 11 author per 10,000 1 dialect per 10,000 siller 11 author per 10,000 4 dialect per 10,000 needin 11 author per 10,000 1 dialect per 10,000 keep 11 author per 10,000 4 dialect per 10,000 jist 11 author per 10,000 36 dialect per 10,000 war 11 author per 10,000 11 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 2 dialect per 10,000 lookin 11 author per 10,000 3 dialect per 10,000 need 11 author per 10,000 5 dialect per 10,000 wint 11 author per 10,000 7 dialect per 10,000 hoose 11 author per 10,000 10 dialect per 10,000 day 11 author per 10,000 26 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 11 dialect per 10,000 so 11 author per 10,000 17 dialect per 10,000 come 11 author per 10,000 13 dialect per 10,000 fae 11 author per 10,000 30 dialect per 10,000 cooncil 11 author per 10,000 1 dialect per 10,000 speir 11 author per 10,000 1 dialect per 10,000 maan 11 author per 10,000 2 dialect per 10,000 says 11 author per 10,000 10 dialect per 10,000 could 11 author per 10,000 8 dialect per 10,000 ever 11 author per 10,000 1 dialect per 10,000 tourists 11 author per 10,000 0 dialect per 10,000 gie 8 author per 10,000 7 dialect per 10,000 turned 8 author per 10,000 2 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 12 dialect per 10,000 twa 8 author per 10,000 18 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 1 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 1 dialect per 10,000 mony 8 author per 10,000 4 dialect per 10,000 oor 8 author per 10,000 8 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 8 dialect per 10,000 e 8 author per 10,000 68 dialect per 10,000 mi 8 author per 10,000 2 dialect per 10,000 himsel 8 author per 10,000 3 dialect per 10,000 fair 8 author per 10,000 8 dialect per 10,000 seen 8 author per 10,000 8 dialect per 10,000 lady 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 8 dialect per 10,000 rain 8 author per 10,000 6 dialect per 10,000 rock 8 author per 10,000 1 dialect per 10,000 wirds 8 author per 10,000 2 dialect per 10,000 win 8 author per 10,000 8 dialect per 10,000 speak 8 author per 10,000 1 dialect per 10,000 efter 8 author per 10,000 10 dialect per 10,000 gin 8 author per 10,000 8 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 0 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 5 dialect per 10,000 things 8 author per 10,000 6 dialect per 10,000 wear 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 9 dialect per 10,000 gran 8 author per 10,000 2 dialect per 10,000 ging 8 author per 10,000 4 dialect per 10,000 by 8 author per 10,000 9 dialect per 10,000 turn 8 author per 10,000 3 dialect per 10,000 hale 8 author per 10,000 5 dialect per 10,000 first 8 author per 10,000 7 dialect per 10,000
Shetland
the 627 author per 10,000 18 dialect per 10,000 an 329 author per 10,000 330 dialect per 10,000 a 284 author per 10,000 280 dialect per 10,000 o 242 author per 10,000 177 dialect per 10,000 ti 191 author per 10,000 0 dialect per 10,000 ye 166 author per 10,000 0 dialect per 10,000 in 155 author per 10,000 105 dialect per 10,000 €™ 155 author per 10,000 17 dialect per 10,000 at 138 author per 10,000 112 dialect per 10,000 wis 127 author per 10,000 162 dialect per 10,000 that 107 author per 10,000 4 dialect per 10,000 his 98 author per 10,000 52 dialect per 10,000 wi 96 author per 10,000 95 dialect per 10,000 fit 96 author per 10,000 4 dialect per 10,000 it 90 author per 10,000 58 dialect per 10,000 for 87 author per 10,000 35 dialect per 10,000 will 82 author per 10,000 9 dialect per 10,000 bennachie 79 author per 10,000 0 dialect per 10,000 be 79 author per 10,000 56 dialect per 10,000 he 79 author per 10,000 103 dialect per 10,000 on 79 author per 10,000 52 dialect per 10,000 aa 73 author per 10,000 51 dialect per 10,000 bit 70 author per 10,000 38 dialect per 10,000 i 62 author per 10,000 143 dialect per 10,000 yer 59 author per 10,000 0 dialect per 10,000 she 59 author per 10,000 7 dialect per 10,000 €™s 59 author per 10,000 15 dialect per 10,000 there 56 author per 10,000 1 dialect per 10,000 her 56 author per 10,000 64 dialect per 10,000 nae 53 author per 10,000 23 dialect per 10,000 fin 51 author per 10,000 7 dialect per 10,000 or 48 author per 10,000 32 dialect per 10,000 grandad 48 author per 10,000 0 dialect per 10,000 they 48 author per 10,000 2 dialect per 10,000 oot 45 author per 10,000 42 dialect per 10,000 we 39 author per 10,000 44 dialect per 10,000 like 39 author per 10,000 2 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 38 dialect per 10,000 as 37 author per 10,000 79 dialect per 10,000 faar 34 author per 10,000 0 dialect per 10,000 hid 34 author per 10,000 1 dialect per 10,000 is 34 author per 10,000 81 dialect per 10,000 aboot 34 author per 10,000 41 dialect per 10,000 get 31 author per 10,000 6 dialect per 10,000 said 31 author per 10,000 61 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 their 28 author per 10,000 1 dialect per 10,000 aal 28 author per 10,000 0 dialect per 10,000 syne 28 author per 10,000 1 dialect per 10,000 up 28 author per 10,000 42 dialect per 10,000 cam 28 author per 10,000 22 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 0 dialect per 10,000 noo 25 author per 10,000 19 dialect per 10,000 lang 25 author per 10,000 11 dialect per 10,000 see 25 author per 10,000 20 dialect per 10,000 roon 25 author per 10,000 0 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 86 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 widna 22 author per 10,000 5 dialect per 10,000 did 22 author per 10,000 9 dialect per 10,000 me 22 author per 10,000 41 dialect per 10,000 til 22 author per 10,000 2 dialect per 10,000 nicht 20 author per 10,000 3 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 fine 20 author per 10,000 7 dialect per 10,000 him 20 author per 10,000 47 dialect per 10,000 hame 20 author per 10,000 7 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 0 dialect per 10,000 baabie 20 author per 10,000 1 dialect per 10,000 there's 20 author per 10,000 0 dialect per 10,000 this 20 author per 10,000 1 dialect per 10,000 doon 20 author per 10,000 22 dialect per 10,000 jock 20 author per 10,000 0 dialect per 10,000 time 20 author per 10,000 21 dialect per 10,000 €™ll 20 author per 10,000 5 dialect per 10,000 mair 20 author per 10,000 19 dialect per 10,000 big 17 author per 10,000 3 dialect per 10,000 you 17 author per 10,000 51 dialect per 10,000 been 17 author per 10,000 16 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 0 dialect per 10,000 nichts 17 author per 10,000 1 dialect per 10,000 adam 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 13 dialect per 10,000 some 17 author per 10,000 13 dialect per 10,000 sit 14 author per 10,000 1 dialect per 10,000 hae 14 author per 10,000 25 dialect per 10,000 ain 14 author per 10,000 7 dialect per 10,000 them 14 author per 10,000 1 dialect per 10,000 ken 14 author per 10,000 14 dialect per 10,000 days 14 author per 10,000 3 dialect per 10,000 sun 14 author per 10,000 3 dialect per 10,000 back 14 author per 10,000 18 dialect per 10,000 mid 14 author per 10,000 0 dialect per 10,000 ower 14 author per 10,000 24 dialect per 10,000 gyang 14 author per 10,000 0 dialect per 10,000 if 14 author per 10,000 25 dialect per 10,000 quine 14 author per 10,000 0 dialect per 10,000 wisna 14 author per 10,000 9 dialect per 10,000 simmer 14 author per 10,000 2 dialect per 10,000 father 14 author per 10,000 0 dialect per 10,000 ancient 14 author per 10,000 0 dialect per 10,000 and 14 author per 10,000 15 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 20 dialect per 10,000 are 14 author per 10,000 2 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 3 dialect per 10,000 spak 11 author per 10,000 5 dialect per 10,000 wye 11 author per 10,000 24 dialect per 10,000 paper 11 author per 10,000 1 dialect per 10,000 local 11 author per 10,000 1 dialect per 10,000 aye 11 author per 10,000 11 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 0 dialect per 10,000 wullie 11 author per 10,000 0 dialect per 10,000 sic 11 author per 10,000 3 dialect per 10,000 man 11 author per 10,000 17 dialect per 10,000 gid 11 author per 10,000 0 dialect per 10,000 stanes 11 author per 10,000 1 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 9 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 2 dialect per 10,000 looket 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 12 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 company 11 author per 10,000 0 dialect per 10,000 siller 11 author per 10,000 1 dialect per 10,000 needin 11 author per 10,000 1 dialect per 10,000 keep 11 author per 10,000 5 dialect per 10,000 jist 11 author per 10,000 0 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 7 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 need 11 author per 10,000 3 dialect per 10,000 wint 11 author per 10,000 4 dialect per 10,000 hoose 11 author per 10,000 8 dialect per 10,000 day 11 author per 10,000 18 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 23 dialect per 10,000 so 11 author per 10,000 26 dialect per 10,000 come 11 author per 10,000 19 dialect per 10,000 fae 11 author per 10,000 40 dialect per 10,000 cooncil 11 author per 10,000 0 dialect per 10,000 speir 11 author per 10,000 0 dialect per 10,000 maan 11 author per 10,000 0 dialect per 10,000 says 11 author per 10,000 5 dialect per 10,000 could 11 author per 10,000 12 dialect per 10,000 ever 11 author per 10,000 5 dialect per 10,000 tourists 11 author per 10,000 0 dialect per 10,000 gie 8 author per 10,000 9 dialect per 10,000 turned 8 author per 10,000 3 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 13 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 0 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 0 dialect per 10,000 mony 8 author per 10,000 4 dialect per 10,000 oor 8 author per 10,000 1 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 2 dialect per 10,000 mi 8 author per 10,000 3 dialect per 10,000 himsel 8 author per 10,000 5 dialect per 10,000 fair 8 author per 10,000 1 dialect per 10,000 seen 8 author per 10,000 6 dialect per 10,000 lady 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 0 dialect per 10,000 rain 8 author per 10,000 1 dialect per 10,000 rock 8 author per 10,000 1 dialect per 10,000 wirds 8 author per 10,000 11 dialect per 10,000 win 8 author per 10,000 4 dialect per 10,000 speak 8 author per 10,000 0 dialect per 10,000 efter 8 author per 10,000 9 dialect per 10,000 gin 8 author per 10,000 0 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 0 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 50 dialect per 10,000 things 8 author per 10,000 7 dialect per 10,000 wear 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 1 dialect per 10,000 gran 8 author per 10,000 0 dialect per 10,000 ging 8 author per 10,000 1 dialect per 10,000 by 8 author per 10,000 7 dialect per 10,000 turn 8 author per 10,000 3 dialect per 10,000 hale 8 author per 10,000 3 dialect per 10,000 first 8 author per 10,000 10 dialect per 10,000 		Orkney
the 627 author per 10,000 582 dialect per 10,000 an 329 author per 10,000 172 dialect per 10,000 a 284 author per 10,000 298 dialect per 10,000 o 242 author per 10,000 202 dialect per 10,000 ti 191 author per 10,000 0 dialect per 10,000 ye 166 author per 10,000 17 dialect per 10,000 in 155 author per 10,000 146 dialect per 10,000 €™ 155 author per 10,000 13 dialect per 10,000 at 138 author per 10,000 54 dialect per 10,000 wis 127 author per 10,000 80 dialect per 10,000 that 107 author per 10,000 75 dialect per 10,000 his 98 author per 10,000 61 dialect per 10,000 wi 96 author per 10,000 46 dialect per 10,000 fit 96 author per 10,000 1 dialect per 10,000 it 90 author per 10,000 23 dialect per 10,000 for 87 author per 10,000 26 dialect per 10,000 will 82 author per 10,000 12 dialect per 10,000 bennachie 79 author per 10,000 0 dialect per 10,000 be 79 author per 10,000 42 dialect per 10,000 he 79 author per 10,000 85 dialect per 10,000 on 79 author per 10,000 73 dialect per 10,000 aa 73 author per 10,000 8 dialect per 10,000 bit 70 author per 10,000 48 dialect per 10,000 i 62 author per 10,000 158 dialect per 10,000 yer 59 author per 10,000 7 dialect per 10,000 she 59 author per 10,000 9 dialect per 10,000 €™s 59 author per 10,000 17 dialect per 10,000 there 56 author per 10,000 18 dialect per 10,000 her 56 author per 10,000 49 dialect per 10,000 nae 53 author per 10,000 3 dialect per 10,000 fin 51 author per 10,000 0 dialect per 10,000 or 48 author per 10,000 30 dialect per 10,000 grandad 48 author per 10,000 1 dialect per 10,000 they 48 author per 10,000 37 dialect per 10,000 oot 45 author per 10,000 50 dialect per 10,000 we 39 author per 10,000 29 dialect per 10,000 like 39 author per 10,000 31 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 20 dialect per 10,000 as 37 author per 10,000 48 dialect per 10,000 faar 34 author per 10,000 0 dialect per 10,000 hid 34 author per 10,000 91 dialect per 10,000 is 34 author per 10,000 71 dialect per 10,000 aboot 34 author per 10,000 26 dialect per 10,000 get 31 author per 10,000 9 dialect per 10,000 said 31 author per 10,000 15 dialect per 10,000 fowk 31 author per 10,000 0 dialect per 10,000 their 28 author per 10,000 8 dialect per 10,000 aal 28 author per 10,000 33 dialect per 10,000 syne 28 author per 10,000 0 dialect per 10,000 up 28 author per 10,000 34 dialect per 10,000 cam 28 author per 10,000 8 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 27 dialect per 10,000 lang 25 author per 10,000 1 dialect per 10,000 see 25 author per 10,000 17 dialect per 10,000 roon 25 author per 10,000 2 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 223 dialect per 10,000 dinna 22 author per 10,000 4 dialect per 10,000 widna 22 author per 10,000 2 dialect per 10,000 did 22 author per 10,000 8 dialect per 10,000 me 22 author per 10,000 115 dialect per 10,000 til 22 author per 10,000 1 dialect per 10,000 nicht 20 author per 10,000 0 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 fine 20 author per 10,000 7 dialect per 10,000 him 20 author per 10,000 21 dialect per 10,000 hame 20 author per 10,000 1 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 0 dialect per 10,000 baabie 20 author per 10,000 0 dialect per 10,000 there's 20 author per 10,000 9 dialect per 10,000 this 20 author per 10,000 34 dialect per 10,000 doon 20 author per 10,000 28 dialect per 10,000 jock 20 author per 10,000 1 dialect per 10,000 time 20 author per 10,000 18 dialect per 10,000 €™ll 20 author per 10,000 2 dialect per 10,000 mair 20 author per 10,000 1 dialect per 10,000 big 17 author per 10,000 7 dialect per 10,000 you 17 author per 10,000 35 dialect per 10,000 been 17 author per 10,000 18 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 0 dialect per 10,000 nichts 17 author per 10,000 0 dialect per 10,000 adam 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 1 dialect per 10,000 some 17 author per 10,000 17 dialect per 10,000 sit 14 author per 10,000 4 dialect per 10,000 hae 14 author per 10,000 11 dialect per 10,000 ain 14 author per 10,000 0 dialect per 10,000 them 14 author per 10,000 18 dialect per 10,000 ken 14 author per 10,000 15 dialect per 10,000 days 14 author per 10,000 5 dialect per 10,000 sun 14 author per 10,000 3 dialect per 10,000 back 14 author per 10,000 26 dialect per 10,000 mid 14 author per 10,000 0 dialect per 10,000 ower 14 author per 10,000 18 dialect per 10,000 gyang 14 author per 10,000 0 dialect per 10,000 if 14 author per 10,000 15 dialect per 10,000 quine 14 author per 10,000 0 dialect per 10,000 wisna 14 author per 10,000 4 dialect per 10,000 simmer 14 author per 10,000 0 dialect per 10,000 father 14 author per 10,000 0 dialect per 10,000 ancient 14 author per 10,000 1 dialect per 10,000 and 14 author per 10,000 199 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 13 dialect per 10,000 are 14 author per 10,000 14 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 2 dialect per 10,000 spak 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 paper 11 author per 10,000 2 dialect per 10,000 local 11 author per 10,000 1 dialect per 10,000 aye 11 author per 10,000 9 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 0 dialect per 10,000 wullie 11 author per 10,000 0 dialect per 10,000 sic 11 author per 10,000 1 dialect per 10,000 man 11 author per 10,000 12 dialect per 10,000 gid 11 author per 10,000 0 dialect per 10,000 stanes 11 author per 10,000 0 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 3 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 1 dialect per 10,000 looket 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 12 dialect per 10,000 week 11 author per 10,000 4 dialect per 10,000 company 11 author per 10,000 1 dialect per 10,000 siller 11 author per 10,000 1 dialect per 10,000 needin 11 author per 10,000 0 dialect per 10,000 keep 11 author per 10,000 7 dialect per 10,000 jist 11 author per 10,000 3 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 3 dialect per 10,000 lookin 11 author per 10,000 0 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 wint 11 author per 10,000 0 dialect per 10,000 hoose 11 author per 10,000 11 dialect per 10,000 day 11 author per 10,000 20 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 5 dialect per 10,000 so 11 author per 10,000 30 dialect per 10,000 come 11 author per 10,000 11 dialect per 10,000 fae 11 author per 10,000 39 dialect per 10,000 cooncil 11 author per 10,000 0 dialect per 10,000 speir 11 author per 10,000 1 dialect per 10,000 maan 11 author per 10,000 1 dialect per 10,000 says 11 author per 10,000 15 dialect per 10,000 could 11 author per 10,000 13 dialect per 10,000 ever 11 author per 10,000 1 dialect per 10,000 tourists 11 author per 10,000 1 dialect per 10,000 gie 8 author per 10,000 2 dialect per 10,000 turned 8 author per 10,000 3 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 10 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 2 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 0 dialect per 10,000 mony 8 author per 10,000 1 dialect per 10,000 oor 8 author per 10,000 2 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 0 dialect per 10,000 mi 8 author per 10,000 0 dialect per 10,000 himsel 8 author per 10,000 1 dialect per 10,000 fair 8 author per 10,000 3 dialect per 10,000 seen 8 author per 10,000 6 dialect per 10,000 lady 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 9 dialect per 10,000 rain 8 author per 10,000 3 dialect per 10,000 rock 8 author per 10,000 1 dialect per 10,000 wirds 8 author per 10,000 6 dialect per 10,000 win 8 author per 10,000 1 dialect per 10,000 speak 8 author per 10,000 1 dialect per 10,000 efter 8 author per 10,000 6 dialect per 10,000 gin 8 author per 10,000 1 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 1 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 27 dialect per 10,000 things 8 author per 10,000 9 dialect per 10,000 wear 8 author per 10,000 1 dialect per 10,000 then 8 author per 10,000 18 dialect per 10,000 gran 8 author per 10,000 0 dialect per 10,000 ging 8 author per 10,000 0 dialect per 10,000 by 8 author per 10,000 16 dialect per 10,000 turn 8 author per 10,000 4 dialect per 10,000 hale 8 author per 10,000 0 dialect per 10,000 first 8 author per 10,000 7 dialect per 10,000
Southern
the 627 author per 10,000 449 dialect per 10,000 an 329 author per 10,000 289 dialect per 10,000 a 284 author per 10,000 230 dialect per 10,000 o 242 author per 10,000 200 dialect per 10,000 ti 191 author per 10,000 23 dialect per 10,000 ye 166 author per 10,000 21 dialect per 10,000 in 155 author per 10,000 107 dialect per 10,000 €™ 155 author per 10,000 14 dialect per 10,000 at 138 author per 10,000 69 dialect per 10,000 wis 127 author per 10,000 54 dialect per 10,000 that 107 author per 10,000 65 dialect per 10,000 his 98 author per 10,000 37 dialect per 10,000 wi 96 author per 10,000 66 dialect per 10,000 fit 96 author per 10,000 5 dialect per 10,000 it 90 author per 10,000 63 dialect per 10,000 for 87 author per 10,000 22 dialect per 10,000 will 82 author per 10,000 3 dialect per 10,000 bennachie 79 author per 10,000 0 dialect per 10,000 be 79 author per 10,000 13 dialect per 10,000 he 79 author per 10,000 12 dialect per 10,000 on 79 author per 10,000 55 dialect per 10,000 aa 73 author per 10,000 10 dialect per 10,000 bit 70 author per 10,000 14 dialect per 10,000 i 62 author per 10,000 74 dialect per 10,000 yer 59 author per 10,000 17 dialect per 10,000 she 59 author per 10,000 91 dialect per 10,000 €™s 59 author per 10,000 34 dialect per 10,000 there 56 author per 10,000 16 dialect per 10,000 her 56 author per 10,000 17 dialect per 10,000 nae 53 author per 10,000 25 dialect per 10,000 fin 51 author per 10,000 1 dialect per 10,000 or 48 author per 10,000 22 dialect per 10,000 grandad 48 author per 10,000 0 dialect per 10,000 they 48 author per 10,000 31 dialect per 10,000 oot 45 author per 10,000 34 dialect per 10,000 we 39 author per 10,000 10 dialect per 10,000 like 39 author per 10,000 8 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 1 dialect per 10,000 as 37 author per 10,000 50 dialect per 10,000 faar 34 author per 10,000 0 dialect per 10,000 hid 34 author per 10,000 0 dialect per 10,000 is 34 author per 10,000 62 dialect per 10,000 aboot 34 author per 10,000 29 dialect per 10,000 get 31 author per 10,000 10 dialect per 10,000 said 31 author per 10,000 65 dialect per 10,000 fowk 31 author per 10,000 4 dialect per 10,000 their 28 author per 10,000 14 dialect per 10,000 aal 28 author per 10,000 0 dialect per 10,000 syne 28 author per 10,000 5 dialect per 10,000 up 28 author per 10,000 41 dialect per 10,000 cam 28 author per 10,000 3 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 2 dialect per 10,000 noo 25 author per 10,000 16 dialect per 10,000 lang 25 author per 10,000 12 dialect per 10,000 see 25 author per 10,000 5 dialect per 10,000 roon 25 author per 10,000 2 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 206 dialect per 10,000 dinna 22 author per 10,000 2 dialect per 10,000 widna 22 author per 10,000 0 dialect per 10,000 did 22 author per 10,000 11 dialect per 10,000 me 22 author per 10,000 16 dialect per 10,000 til 22 author per 10,000 28 dialect per 10,000 nicht 20 author per 10,000 8 dialect per 10,000 fa 20 author per 10,000 1 dialect per 10,000 fine 20 author per 10,000 1 dialect per 10,000 him 20 author per 10,000 11 dialect per 10,000 hame 20 author per 10,000 8 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 0 dialect per 10,000 baabie 20 author per 10,000 0 dialect per 10,000 there's 20 author per 10,000 7 dialect per 10,000 this 20 author per 10,000 35 dialect per 10,000 doon 20 author per 10,000 24 dialect per 10,000 jock 20 author per 10,000 2 dialect per 10,000 time 20 author per 10,000 14 dialect per 10,000 €™ll 20 author per 10,000 2 dialect per 10,000 mair 20 author per 10,000 16 dialect per 10,000 big 17 author per 10,000 5 dialect per 10,000 you 17 author per 10,000 3 dialect per 10,000 been 17 author per 10,000 10 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 13 dialect per 10,000 nichts 17 author per 10,000 1 dialect per 10,000 adam 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 14 dialect per 10,000 some 17 author per 10,000 12 dialect per 10,000 sit 14 author per 10,000 2 dialect per 10,000 hae 14 author per 10,000 35 dialect per 10,000 ain 14 author per 10,000 9 dialect per 10,000 them 14 author per 10,000 5 dialect per 10,000 ken 14 author per 10,000 17 dialect per 10,000 days 14 author per 10,000 7 dialect per 10,000 sun 14 author per 10,000 3 dialect per 10,000 back 14 author per 10,000 19 dialect per 10,000 mid 14 author per 10,000 1 dialect per 10,000 ower 14 author per 10,000 13 dialect per 10,000 gyang 14 author per 10,000 0 dialect per 10,000 if 14 author per 10,000 17 dialect per 10,000 quine 14 author per 10,000 0 dialect per 10,000 wisna 14 author per 10,000 1 dialect per 10,000 simmer 14 author per 10,000 2 dialect per 10,000 father 14 author per 10,000 0 dialect per 10,000 ancient 14 author per 10,000 0 dialect per 10,000 and 14 author per 10,000 33 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 10 dialect per 10,000 are 14 author per 10,000 9 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 0 dialect per 10,000 spak 11 author per 10,000 2 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 paper 11 author per 10,000 1 dialect per 10,000 local 11 author per 10,000 3 dialect per 10,000 aye 11 author per 10,000 11 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 0 dialect per 10,000 wullie 11 author per 10,000 3 dialect per 10,000 sic 11 author per 10,000 10 dialect per 10,000 man 11 author per 10,000 7 dialect per 10,000 gid 11 author per 10,000 0 dialect per 10,000 stanes 11 author per 10,000 3 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 4 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 1 dialect per 10,000 looket 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 9 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 company 11 author per 10,000 0 dialect per 10,000 siller 11 author per 10,000 1 dialect per 10,000 needin 11 author per 10,000 0 dialect per 10,000 keep 11 author per 10,000 3 dialect per 10,000 jist 11 author per 10,000 11 dialect per 10,000 war 11 author per 10,000 5 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 5 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 need 11 author per 10,000 1 dialect per 10,000 wint 11 author per 10,000 0 dialect per 10,000 hoose 11 author per 10,000 20 dialect per 10,000 day 11 author per 10,000 17 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 1 dialect per 10,000 so 11 author per 10,000 3 dialect per 10,000 come 11 author per 10,000 9 dialect per 10,000 fae 11 author per 10,000 0 dialect per 10,000 cooncil 11 author per 10,000 1 dialect per 10,000 speir 11 author per 10,000 0 dialect per 10,000 maan 11 author per 10,000 0 dialect per 10,000 says 11 author per 10,000 3 dialect per 10,000 could 11 author per 10,000 13 dialect per 10,000 ever 11 author per 10,000 1 dialect per 10,000 tourists 11 author per 10,000 0 dialect per 10,000 gie 8 author per 10,000 14 dialect per 10,000 turned 8 author per 10,000 2 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 2 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 0 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 0 dialect per 10,000 mony 8 author per 10,000 3 dialect per 10,000 oor 8 author per 10,000 11 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 1 dialect per 10,000 mi 8 author per 10,000 0 dialect per 10,000 himsel 8 author per 10,000 2 dialect per 10,000 fair 8 author per 10,000 13 dialect per 10,000 seen 8 author per 10,000 5 dialect per 10,000 lady 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 12 dialect per 10,000 rain 8 author per 10,000 2 dialect per 10,000 rock 8 author per 10,000 0 dialect per 10,000 wirds 8 author per 10,000 0 dialect per 10,000 win 8 author per 10,000 1 dialect per 10,000 speak 8 author per 10,000 4 dialect per 10,000 efter 8 author per 10,000 13 dialect per 10,000 gin 8 author per 10,000 9 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 1 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 1 dialect per 10,000 things 8 author per 10,000 2 dialect per 10,000 wear 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 gran 8 author per 10,000 0 dialect per 10,000 ging 8 author per 10,000 0 dialect per 10,000 by 8 author per 10,000 5 dialect per 10,000 turn 8 author per 10,000 3 dialect per 10,000 hale 8 author per 10,000 2 dialect per 10,000 first 8 author per 10,000 2 dialect per 10,000 		Ulster
the 627 author per 10,000 345 dialect per 10,000 an 329 author per 10,000 358 dialect per 10,000 a 284 author per 10,000 287 dialect per 10,000 o 242 author per 10,000 208 dialect per 10,000 ti 191 author per 10,000 0 dialect per 10,000 ye 166 author per 10,000 79 dialect per 10,000 in 155 author per 10,000 121 dialect per 10,000 €™ 155 author per 10,000 18 dialect per 10,000 at 138 author per 10,000 58 dialect per 10,000 wis 127 author per 10,000 1 dialect per 10,000 that 107 author per 10,000 71 dialect per 10,000 his 98 author per 10,000 25 dialect per 10,000 wi 96 author per 10,000 63 dialect per 10,000 fit 96 author per 10,000 4 dialect per 10,000 it 90 author per 10,000 73 dialect per 10,000 for 87 author per 10,000 30 dialect per 10,000 will 82 author per 10,000 2 dialect per 10,000 bennachie 79 author per 10,000 0 dialect per 10,000 be 79 author per 10,000 39 dialect per 10,000 he 79 author per 10,000 62 dialect per 10,000 on 79 author per 10,000 57 dialect per 10,000 aa 73 author per 10,000 41 dialect per 10,000 bit 70 author per 10,000 10 dialect per 10,000 i 62 author per 10,000 16 dialect per 10,000 yer 59 author per 10,000 37 dialect per 10,000 she 59 author per 10,000 31 dialect per 10,000 €™s 59 author per 10,000 11 dialect per 10,000 there 56 author per 10,000 8 dialect per 10,000 her 56 author per 10,000 8 dialect per 10,000 nae 53 author per 10,000 22 dialect per 10,000 fin 51 author per 10,000 4 dialect per 10,000 or 48 author per 10,000 33 dialect per 10,000 grandad 48 author per 10,000 0 dialect per 10,000 they 48 author per 10,000 26 dialect per 10,000 oot 45 author per 10,000 49 dialect per 10,000 we 39 author per 10,000 18 dialect per 10,000 like 39 author per 10,000 9 dialect per 10,000 dome 39 author per 10,000 0 dialect per 10,000 wid 37 author per 10,000 1 dialect per 10,000 as 37 author per 10,000 31 dialect per 10,000 faar 34 author per 10,000 0 dialect per 10,000 hid 34 author per 10,000 0 dialect per 10,000 is 34 author per 10,000 18 dialect per 10,000 aboot 34 author per 10,000 27 dialect per 10,000 get 31 author per 10,000 9 dialect per 10,000 said 31 author per 10,000 32 dialect per 10,000 fowk 31 author per 10,000 21 dialect per 10,000 their 28 author per 10,000 5 dialect per 10,000 aal 28 author per 10,000 10 dialect per 10,000 syne 28 author per 10,000 1 dialect per 10,000 up 28 author per 10,000 32 dialect per 10,000 cam 28 author per 10,000 0 dialect per 10,000 cabrach 28 author per 10,000 0 dialect per 10,000 bonnie 28 author per 10,000 1 dialect per 10,000 noo 25 author per 10,000 22 dialect per 10,000 lang 25 author per 10,000 12 dialect per 10,000 see 25 author per 10,000 16 dialect per 10,000 roon 25 author per 10,000 10 dialect per 10,000 barbara 22 author per 10,000 0 dialect per 10,000 tae 22 author per 10,000 253 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 widna 22 author per 10,000 0 dialect per 10,000 did 22 author per 10,000 5 dialect per 10,000 me 22 author per 10,000 24 dialect per 10,000 til 22 author per 10,000 16 dialect per 10,000 nicht 20 author per 10,000 7 dialect per 10,000 fa 20 author per 10,000 0 dialect per 10,000 fine 20 author per 10,000 1 dialect per 10,000 him 20 author per 10,000 11 dialect per 10,000 hame 20 author per 10,000 10 dialect per 10,000 grandfather 20 author per 10,000 0 dialect per 10,000 gyan 20 author per 10,000 0 dialect per 10,000 baabie 20 author per 10,000 0 dialect per 10,000 there's 20 author per 10,000 2 dialect per 10,000 this 20 author per 10,000 27 dialect per 10,000 doon 20 author per 10,000 28 dialect per 10,000 jock 20 author per 10,000 0 dialect per 10,000 time 20 author per 10,000 13 dialect per 10,000 €™ll 20 author per 10,000 4 dialect per 10,000 mair 20 author per 10,000 27 dialect per 10,000 big 17 author per 10,000 8 dialect per 10,000 you 17 author per 10,000 5 dialect per 10,000 been 17 author per 10,000 2 dialect per 10,000 cullen 17 author per 10,000 0 dialect per 10,000 berryhill 17 author per 10,000 0 dialect per 10,000 thocht 17 author per 10,000 11 dialect per 10,000 nichts 17 author per 10,000 1 dialect per 10,000 adam 17 author per 10,000 0 dialect per 10,000 awa 17 author per 10,000 17 dialect per 10,000 some 17 author per 10,000 7 dialect per 10,000 sit 14 author per 10,000 2 dialect per 10,000 hae 14 author per 10,000 55 dialect per 10,000 ain 14 author per 10,000 14 dialect per 10,000 them 14 author per 10,000 8 dialect per 10,000 ken 14 author per 10,000 3 dialect per 10,000 days 14 author per 10,000 5 dialect per 10,000 sun 14 author per 10,000 1 dialect per 10,000 back 14 author per 10,000 2 dialect per 10,000 mid 14 author per 10,000 0 dialect per 10,000 ower 14 author per 10,000 18 dialect per 10,000 gyang 14 author per 10,000 0 dialect per 10,000 if 14 author per 10,000 14 dialect per 10,000 quine 14 author per 10,000 0 dialect per 10,000 wisna 14 author per 10,000 0 dialect per 10,000 simmer 14 author per 10,000 1 dialect per 10,000 father 14 author per 10,000 0 dialect per 10,000 ancient 14 author per 10,000 0 dialect per 10,000 and 14 author per 10,000 10 dialect per 10,000 dunce 14 author per 10,000 0 dialect per 10,000 can 14 author per 10,000 15 dialect per 10,000 are 14 author per 10,000 4 dialect per 10,000 stately 14 author per 10,000 0 dialect per 10,000 wirk 11 author per 10,000 0 dialect per 10,000 spak 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 13 dialect per 10,000 paper 11 author per 10,000 1 dialect per 10,000 local 11 author per 10,000 0 dialect per 10,000 aye 11 author per 10,000 13 dialect per 10,000 cafe 11 author per 10,000 0 dialect per 10,000 fee 11 author per 10,000 0 dialect per 10,000 duncin 11 author per 10,000 0 dialect per 10,000 doric 11 author per 10,000 0 dialect per 10,000 wullie 11 author per 10,000 3 dialect per 10,000 sic 11 author per 10,000 1 dialect per 10,000 man 11 author per 10,000 17 dialect per 10,000 gid 11 author per 10,000 0 dialect per 10,000 stanes 11 author per 10,000 1 dialect per 10,000 kindness 11 author per 10,000 0 dialect per 10,000 took 11 author per 10,000 1 dialect per 10,000 dubbie 11 author per 10,000 0 dialect per 10,000 i'm 11 author per 10,000 2 dialect per 10,000 looket 11 author per 10,000 0 dialect per 10,000 tak 11 author per 10,000 13 dialect per 10,000 week 11 author per 10,000 1 dialect per 10,000 company 11 author per 10,000 0 dialect per 10,000 siller 11 author per 10,000 1 dialect per 10,000 needin 11 author per 10,000 0 dialect per 10,000 keep 11 author per 10,000 3 dialect per 10,000 jist 11 author per 10,000 8 dialect per 10,000 war 11 author per 10,000 1 dialect per 10,000 jeans 11 author per 10,000 0 dialect per 10,000 never 11 author per 10,000 0 dialect per 10,000 lookin 11 author per 10,000 0 dialect per 10,000 need 11 author per 10,000 4 dialect per 10,000 wint 11 author per 10,000 0 dialect per 10,000 hoose 11 author per 10,000 14 dialect per 10,000 day 11 author per 10,000 15 dialect per 10,000 combines 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 2 dialect per 10,000 so 11 author per 10,000 5 dialect per 10,000 come 11 author per 10,000 10 dialect per 10,000 fae 11 author per 10,000 13 dialect per 10,000 cooncil 11 author per 10,000 3 dialect per 10,000 speir 11 author per 10,000 0 dialect per 10,000 maan 11 author per 10,000 0 dialect per 10,000 says 11 author per 10,000 3 dialect per 10,000 could 11 author per 10,000 1 dialect per 10,000 ever 11 author per 10,000 0 dialect per 10,000 tourists 11 author per 10,000 1 dialect per 10,000 gie 8 author per 10,000 16 dialect per 10,000 turned 8 author per 10,000 1 dialect per 10,000 bree 8 author per 10,000 0 dialect per 10,000 affa 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 11 dialect per 10,000 there'll 8 author per 10,000 0 dialect per 10,000 haad 8 author per 10,000 0 dialect per 10,000 ees't 8 author per 10,000 0 dialect per 10,000 lan 8 author per 10,000 3 dialect per 10,000 mony 8 author per 10,000 1 dialect per 10,000 oor 8 author per 10,000 15 dialect per 10,000 noth 8 author per 10,000 0 dialect per 10,000 afa 8 author per 10,000 0 dialect per 10,000 gweed 8 author per 10,000 0 dialect per 10,000 e 8 author per 10,000 1 dialect per 10,000 mi 8 author per 10,000 0 dialect per 10,000 himsel 8 author per 10,000 1 dialect per 10,000 fair 8 author per 10,000 2 dialect per 10,000 seen 8 author per 10,000 4 dialect per 10,000 lady 8 author per 10,000 0 dialect per 10,000 ither 8 author per 10,000 14 dialect per 10,000 rain 8 author per 10,000 1 dialect per 10,000 rock 8 author per 10,000 0 dialect per 10,000 wirds 8 author per 10,000 1 dialect per 10,000 win 8 author per 10,000 0 dialect per 10,000 speak 8 author per 10,000 1 dialect per 10,000 efter 8 author per 10,000 6 dialect per 10,000 gin 8 author per 10,000 5 dialect per 10,000 fantoosh 8 author per 10,000 0 dialect per 10,000 forever 8 author per 10,000 0 dialect per 10,000 competeetion 8 author per 10,000 0 dialect per 10,000 wir 8 author per 10,000 1 dialect per 10,000 things 8 author per 10,000 4 dialect per 10,000 wear 8 author per 10,000 0 dialect per 10,000 then 8 author per 10,000 17 dialect per 10,000 gran 8 author per 10,000 0 dialect per 10,000 ging 8 author per 10,000 0 dialect per 10,000 by 8 author per 10,000 7 dialect per 10,000 turn 8 author per 10,000 3 dialect per 10,000 hale 8 author per 10,000 8 dialect per 10,000 first 8 author per 10,000 2 dialect per 10,000