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 -

Hutchison, Pat


Total words by this author in corpus - 28,206
Total unique words used by this author in corpus - 4,101
Ratio of total words to unique words - 6.878
Top ten most common words - the, tae, a, and, o, wiz, she, her, he, in,

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 707 author per 10,000 561 dialect per 10,000 tae 260 author per 10,000 211 dialect per 10,000 a 250 author per 10,000 262 dialect per 10,000 and 222 author per 10,000 107 dialect per 10,000 o 203 author per 10,000 189 dialect per 10,000 wiz 173 author per 10,000 2 dialect per 10,000 she 169 author per 10,000 55 dialect per 10,000 her 167 author per 10,000 45 dialect per 10,000 he 141 author per 10,000 92 dialect per 10,000 in 141 author per 10,000 148 dialect per 10,000 an 136 author per 10,000 212 dialect per 10,000 it 124 author per 10,000 118 dialect per 10,000 his 109 author per 10,000 56 dialect per 10,000 that 108 author per 10,000 108 dialect per 10,000 at 104 author per 10,000 58 dialect per 10,000 €™d 99 author per 10,000 7 dialect per 10,000 wi 91 author per 10,000 65 dialect per 10,000 i 83 author per 10,000 38 dialect per 10,000 as 79 author per 10,000 60 dialect per 10,000 for 78 author per 10,000 47 dialect per 10,000 on 72 author per 10,000 55 dialect per 10,000 but 68 author per 10,000 48 dialect per 10,000 hid 68 author per 10,000 1 dialect per 10,000 € 60 author per 10,000 27 dialect per 10,000 fae 54 author per 10,000 27 dialect per 10,000 up 49 author per 10,000 40 dialect per 10,000 him 48 author per 10,000 30 dialect per 10,000 €™s 48 author per 10,000 36 dialect per 10,000 this 46 author per 10,000 43 dialect per 10,000 aboot 43 author per 10,000 30 dialect per 10,000 doon 42 author per 10,000 18 dialect per 10,000 oot 42 author per 10,000 40 dialect per 10,000 they 41 author per 10,000 43 dialect per 10,000 been 38 author per 10,000 19 dialect per 10,000 intae 36 author per 10,000 18 dialect per 10,000 so 35 author per 10,000 9 dialect per 10,000 jessie 35 author per 10,000 0 dialect per 10,000 back 34 author per 10,000 20 dialect per 10,000 like 34 author per 10,000 27 dialect per 10,000 there 33 author per 10,000 25 dialect per 10,000 teen 32 author per 10,000 0 dialect per 10,000 nae 32 author per 10,000 22 dialect per 10,000 fin 32 author per 10,000 1 dialect per 10,000 them 31 author per 10,000 18 dialect per 10,000 my 29 author per 10,000 6 dialect per 10,000 ye 29 author per 10,000 59 dialect per 10,000 be 29 author per 10,000 49 dialect per 10,000 aa 28 author per 10,000 12 dialect per 10,000 fit 27 author per 10,000 2 dialect per 10,000 jist 27 author per 10,000 22 dialect per 10,000 were 27 author per 10,000 16 dialect per 10,000 ower 27 author per 10,000 18 dialect per 10,000 time 26 author per 10,000 17 dialect per 10,000 could 26 author per 10,000 10 dialect per 10,000 got 25 author per 10,000 12 dialect per 10,000 wee 25 author per 10,000 27 dialect per 10,000 by 23 author per 10,000 16 dialect per 10,000 wid 23 author per 10,000 9 dialect per 10,000 wint 23 author per 10,000 1 dialect per 10,000 get 23 author per 10,000 15 dialect per 10,000 if 23 author per 10,000 18 dialect per 10,000 said 23 author per 10,000 42 dialect per 10,000 ma 22 author per 10,000 52 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 mair 21 author per 10,000 20 dialect per 10,000 awa 21 author per 10,000 11 dialect per 10,000 €™ 21 author per 10,000 46 dialect per 10,000 made 21 author per 10,000 7 dialect per 10,000 een 19 author per 10,000 5 dialect per 10,000 came 19 author per 10,000 3 dialect per 10,000 big 19 author per 10,000 8 dialect per 10,000 tellt 18 author per 10,000 2 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 aifter 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 18 dialect per 10,000 saw 16 author per 10,000 4 dialect per 10,000 noo 16 author per 10,000 13 dialect per 10,000 mabel 16 author per 10,000 0 dialect per 10,000 hoose 16 author per 10,000 7 dialect per 10,000 throwe 16 author per 10,000 0 dialect per 10,000 some 15 author per 10,000 13 dialect per 10,000 heed 15 author per 10,000 0 dialect per 10,000 aal 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 14 dialect per 10,000 aff 15 author per 10,000 14 dialect per 10,000 then 15 author per 10,000 16 dialect per 10,000 hame 15 author per 10,000 6 dialect per 10,000 bit 15 author per 10,000 15 dialect per 10,000 douglas 14 author per 10,000 1 dialect per 10,000 afore 14 author per 10,000 9 dialect per 10,000 or 14 author per 10,000 29 dialect per 10,000 door 14 author per 10,000 6 dialect per 10,000 me 14 author per 10,000 40 dialect per 10,000 thocht 13 author per 10,000 8 dialect per 10,000 lizzie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 of 13 author per 10,000 10 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 doctor 12 author per 10,000 1 dialect per 10,000 started 12 author per 10,000 1 dialect per 10,000 wisna 12 author per 10,000 3 dialect per 10,000 man 12 author per 10,000 10 dialect per 10,000 laird 12 author per 10,000 0 dialect per 10,000 room 12 author per 10,000 5 dialect per 10,000 didna 12 author per 10,000 5 dialect per 10,000 sayin 12 author per 10,000 3 dialect per 10,000 sat 12 author per 10,000 2 dialect per 10,000 come 12 author per 10,000 9 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 first 11 author per 10,000 9 dialect per 10,000 even 11 author per 10,000 10 dialect per 10,000 richt 11 author per 10,000 12 dialect per 10,000 side 11 author per 10,000 3 dialect per 10,000 only 11 author per 10,000 5 dialect per 10,000 gordon 11 author per 10,000 0 dialect per 10,000 affa 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 jeemicky 11 author per 10,000 0 dialect per 10,000 to 11 author per 10,000 9 dialect per 10,000 yer 11 author per 10,000 18 dialect per 10,000 next 10 author per 10,000 3 dialect per 10,000 looked 10 author per 10,000 3 dialect per 10,000 put 10 author per 10,000 2 dialect per 10,000 mary 10 author per 10,000 3 dialect per 10,000 mistress 10 author per 10,000 0 dialect per 10,000 did 10 author per 10,000 8 dialect per 10,000 face 10 author per 10,000 5 dialect per 10,000 lookin 10 author per 10,000 3 dialect per 10,000 because 10 author per 10,000 3 dialect per 10,000 twa 10 author per 10,000 10 dialect per 10,000 lassie 10 author per 10,000 3 dialect per 10,000 you 10 author per 10,000 16 dialect per 10,000 fine 10 author per 10,000 3 dialect per 10,000 mornin 10 author per 10,000 3 dialect per 10,000 look 10 author per 10,000 5 dialect per 10,000 again 10 author per 10,000 8 dialect per 10,000 hae 9 author per 10,000 22 dialect per 10,000 beannie 9 author per 10,000 0 dialect per 10,000 €™ve 9 author per 10,000 4 dialect per 10,000 stood 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 cook 9 author per 10,000 0 dialect per 10,000 place 9 author per 10,000 5 dialect per 10,000 than 9 author per 10,000 11 dialect per 10,000 found 9 author per 10,000 0 dialect per 10,000 one 9 author per 10,000 2 dialect per 10,000 gyan 9 author per 10,000 0 dialect per 10,000 far 9 author per 10,000 2 dialect per 10,000 eence 9 author per 10,000 0 dialect per 10,000 nicht 9 author per 10,000 5 dialect per 10,000 broo 8 author per 10,000 0 dialect per 10,000 bonny 8 author per 10,000 1 dialect per 10,000 kent 8 author per 10,000 6 dialect per 10,000 yin 8 author per 10,000 9 dialect per 10,000 gyang 8 author per 10,000 0 dialect per 10,000 years 8 author per 10,000 4 dialect per 10,000 ony 8 author per 10,000 6 dialect per 10,000 bob 8 author per 10,000 0 dialect per 10,000 couple 8 author per 10,000 2 dialect per 10,000 tried 8 author per 10,000 2 dialect per 10,000 weel 8 author per 10,000 9 dialect per 10,000 ontae 8 author per 10,000 1 dialect per 10,000 here 8 author per 10,000 12 dialect per 10,000 faa 8 author per 10,000 1 dialect per 10,000 was 8 author per 10,000 7 dialect per 10,000 ee 8 author per 10,000 2 dialect per 10,000 comin 8 author per 10,000 3 dialect per 10,000 €™t 8 author per 10,000 3 dialect per 10,000 dee 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 9 dialect per 10,000 pain 8 author per 10,000 1 dialect per 10,000 mrs 8 author per 10,000 3 dialect per 10,000 fyowe 7 author per 10,000 0 dialect per 10,000 ae 7 author per 10,000 21 dialect per 10,000 things 7 author per 10,000 6 dialect per 10,000 gye 7 author per 10,000 0 dialect per 10,000 seen 7 author per 10,000 6 dialect per 10,000 each 7 author per 10,000 3 dialect per 10,000 mind 7 author per 10,000 7 dialect per 10,000 happened 7 author per 10,000 1 dialect per 10,000 wully 7 author per 10,000 1 dialect per 10,000 heard 7 author per 10,000 4 dialect per 10,000 used 7 author per 10,000 2 dialect per 10,000 couldna 7 author per 10,000 1 dialect per 10,000 opened 7 author per 10,000 1 dialect per 10,000 still 7 author per 10,000 8 dialect per 10,000 gave 7 author per 10,000 1 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 ain 7 author per 10,000 10 dialect per 10,000 fair 7 author per 10,000 3 dialect per 10,000 tak 7 author per 10,000 8 dialect per 10,000 mak 7 author per 10,000 8 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 11 dialect per 10,000 its 7 author per 10,000 11 dialect per 10,000 let 7 author per 10,000 4 dialect per 10,000 much 7 author per 10,000 3 dialect per 10,000 three 7 author per 10,000 5 dialect per 10,000 better 7 author per 10,000 5 dialect per 10,000 coal 7 author per 10,000 0 dialect per 10,000
Doric
the 707 author per 10,000 467 dialect per 10,000 tae 260 author per 10,000 165 dialect per 10,000 a 250 author per 10,000 296 dialect per 10,000 and 222 author per 10,000 43 dialect per 10,000 o 203 author per 10,000 181 dialect per 10,000 wiz 173 author per 10,000 17 dialect per 10,000 she 169 author per 10,000 74 dialect per 10,000 her 167 author per 10,000 68 dialect per 10,000 he 141 author per 10,000 96 dialect per 10,000 in 141 author per 10,000 135 dialect per 10,000 an 136 author per 10,000 310 dialect per 10,000 it 124 author per 10,000 103 dialect per 10,000 his 109 author per 10,000 71 dialect per 10,000 that 108 author per 10,000 50 dialect per 10,000 at 104 author per 10,000 70 dialect per 10,000 €™d 99 author per 10,000 10 dialect per 10,000 wi 91 author per 10,000 82 dialect per 10,000 i 83 author per 10,000 73 dialect per 10,000 as 79 author per 10,000 56 dialect per 10,000 for 78 author per 10,000 44 dialect per 10,000 on 72 author per 10,000 67 dialect per 10,000 but 68 author per 10,000 23 dialect per 10,000 hid 68 author per 10,000 34 dialect per 10,000 € 60 author per 10,000 16 dialect per 10,000 fae 54 author per 10,000 27 dialect per 10,000 up 49 author per 10,000 45 dialect per 10,000 him 48 author per 10,000 33 dialect per 10,000 €™s 48 author per 10,000 20 dialect per 10,000 this 46 author per 10,000 18 dialect per 10,000 aboot 43 author per 10,000 33 dialect per 10,000 doon 42 author per 10,000 34 dialect per 10,000 oot 42 author per 10,000 48 dialect per 10,000 they 41 author per 10,000 38 dialect per 10,000 been 38 author per 10,000 13 dialect per 10,000 intae 36 author per 10,000 10 dialect per 10,000 so 35 author per 10,000 14 dialect per 10,000 jessie 35 author per 10,000 3 dialect per 10,000 back 34 author per 10,000 22 dialect per 10,000 like 34 author per 10,000 40 dialect per 10,000 there 33 author per 10,000 22 dialect per 10,000 teen 32 author per 10,000 7 dialect per 10,000 nae 32 author per 10,000 49 dialect per 10,000 fin 32 author per 10,000 20 dialect per 10,000 them 31 author per 10,000 25 dialect per 10,000 my 29 author per 10,000 11 dialect per 10,000 ye 29 author per 10,000 94 dialect per 10,000 be 29 author per 10,000 47 dialect per 10,000 aa 28 author per 10,000 43 dialect per 10,000 fit 27 author per 10,000 42 dialect per 10,000 jist 27 author per 10,000 36 dialect per 10,000 were 27 author per 10,000 13 dialect per 10,000 ower 27 author per 10,000 28 dialect per 10,000 time 26 author per 10,000 20 dialect per 10,000 could 26 author per 10,000 8 dialect per 10,000 got 25 author per 10,000 14 dialect per 10,000 wee 25 author per 10,000 18 dialect per 10,000 by 23 author per 10,000 9 dialect per 10,000 wid 23 author per 10,000 17 dialect per 10,000 wint 23 author per 10,000 8 dialect per 10,000 get 23 author per 10,000 15 dialect per 10,000 if 23 author per 10,000 18 dialect per 10,000 said 23 author per 10,000 39 dialect per 10,000 ma 22 author per 10,000 47 dialect per 10,000 wye 21 author per 10,000 13 dialect per 10,000 mair 21 author per 10,000 17 dialect per 10,000 awa 21 author per 10,000 22 dialect per 10,000 €™ 21 author per 10,000 9 dialect per 10,000 made 21 author per 10,000 8 dialect per 10,000 een 19 author per 10,000 19 dialect per 10,000 came 19 author per 10,000 5 dialect per 10,000 big 19 author per 10,000 5 dialect per 10,000 tellt 18 author per 10,000 2 dialect per 10,000 see 18 author per 10,000 22 dialect per 10,000 aifter 17 author per 10,000 2 dialect per 10,000 their 17 author per 10,000 20 dialect per 10,000 saw 16 author per 10,000 4 dialect per 10,000 noo 16 author per 10,000 21 dialect per 10,000 mabel 16 author per 10,000 1 dialect per 10,000 hoose 16 author per 10,000 11 dialect per 10,000 throwe 16 author per 10,000 4 dialect per 10,000 some 15 author per 10,000 13 dialect per 10,000 heed 15 author per 10,000 2 dialect per 10,000 aal 15 author per 10,000 3 dialect per 10,000 day 15 author per 10,000 29 dialect per 10,000 aff 15 author per 10,000 13 dialect per 10,000 then 15 author per 10,000 10 dialect per 10,000 hame 15 author per 10,000 12 dialect per 10,000 bit 15 author per 10,000 42 dialect per 10,000 douglas 14 author per 10,000 1 dialect per 10,000 afore 14 author per 10,000 14 dialect per 10,000 or 14 author per 10,000 25 dialect per 10,000 door 14 author per 10,000 8 dialect per 10,000 me 14 author per 10,000 30 dialect per 10,000 thocht 13 author per 10,000 13 dialect per 10,000 lizzie 13 author per 10,000 1 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 of 13 author per 10,000 7 dialect per 10,000 though 13 author per 10,000 3 dialect per 10,000 doctor 12 author per 10,000 2 dialect per 10,000 started 12 author per 10,000 3 dialect per 10,000 wisna 12 author per 10,000 6 dialect per 10,000 man 12 author per 10,000 6 dialect per 10,000 laird 12 author per 10,000 1 dialect per 10,000 room 12 author per 10,000 4 dialect per 10,000 didna 12 author per 10,000 10 dialect per 10,000 sayin 12 author per 10,000 4 dialect per 10,000 sat 12 author per 10,000 4 dialect per 10,000 come 12 author per 10,000 14 dialect per 10,000 fire 11 author per 10,000 3 dialect per 10,000 first 11 author per 10,000 7 dialect per 10,000 even 11 author per 10,000 6 dialect per 10,000 richt 11 author per 10,000 18 dialect per 10,000 side 11 author per 10,000 5 dialect per 10,000 only 11 author per 10,000 6 dialect per 10,000 gordon 11 author per 10,000 1 dialect per 10,000 affa 11 author per 10,000 13 dialect per 10,000 mither 11 author per 10,000 7 dialect per 10,000 jeemicky 11 author per 10,000 1 dialect per 10,000 to 11 author per 10,000 8 dialect per 10,000 yer 11 author per 10,000 35 dialect per 10,000 next 10 author per 10,000 3 dialect per 10,000 looked 10 author per 10,000 4 dialect per 10,000 put 10 author per 10,000 1 dialect per 10,000 mary 10 author per 10,000 2 dialect per 10,000 mistress 10 author per 10,000 1 dialect per 10,000 did 10 author per 10,000 10 dialect per 10,000 face 10 author per 10,000 8 dialect per 10,000 lookin 10 author per 10,000 3 dialect per 10,000 because 10 author per 10,000 2 dialect per 10,000 twa 10 author per 10,000 18 dialect per 10,000 lassie 10 author per 10,000 2 dialect per 10,000 you 10 author per 10,000 18 dialect per 10,000 fine 10 author per 10,000 12 dialect per 10,000 mornin 10 author per 10,000 6 dialect per 10,000 look 10 author per 10,000 7 dialect per 10,000 again 10 author per 10,000 11 dialect per 10,000 hae 9 author per 10,000 19 dialect per 10,000 beannie 9 author per 10,000 1 dialect per 10,000 €™ve 9 author per 10,000 2 dialect per 10,000 stood 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 cook 9 author per 10,000 1 dialect per 10,000 place 9 author per 10,000 6 dialect per 10,000 than 9 author per 10,000 8 dialect per 10,000 found 9 author per 10,000 2 dialect per 10,000 one 9 author per 10,000 2 dialect per 10,000 gyan 9 author per 10,000 2 dialect per 10,000 far 9 author per 10,000 14 dialect per 10,000 eence 9 author per 10,000 5 dialect per 10,000 nicht 9 author per 10,000 12 dialect per 10,000 broo 8 author per 10,000 1 dialect per 10,000 bonny 8 author per 10,000 4 dialect per 10,000 kent 8 author per 10,000 8 dialect per 10,000 yin 8 author per 10,000 1 dialect per 10,000 gyang 8 author per 10,000 3 dialect per 10,000 years 8 author per 10,000 3 dialect per 10,000 ony 8 author per 10,000 9 dialect per 10,000 bob 8 author per 10,000 1 dialect per 10,000 couple 8 author per 10,000 1 dialect per 10,000 tried 8 author per 10,000 3 dialect per 10,000 weel 8 author per 10,000 18 dialect per 10,000 ontae 8 author per 10,000 1 dialect per 10,000 here 8 author per 10,000 11 dialect per 10,000 faa 8 author per 10,000 2 dialect per 10,000 was 8 author per 10,000 5 dialect per 10,000 ee 8 author per 10,000 10 dialect per 10,000 comin 8 author per 10,000 5 dialect per 10,000 €™t 8 author per 10,000 2 dialect per 10,000 dee 8 author per 10,000 10 dialect per 10,000 lang 8 author per 10,000 13 dialect per 10,000 pain 8 author per 10,000 1 dialect per 10,000 mrs 8 author per 10,000 2 dialect per 10,000 fyowe 7 author per 10,000 1 dialect per 10,000 ae 7 author per 10,000 8 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 gye 7 author per 10,000 1 dialect per 10,000 seen 7 author per 10,000 7 dialect per 10,000 each 7 author per 10,000 1 dialect per 10,000 mind 7 author per 10,000 5 dialect per 10,000 happened 7 author per 10,000 2 dialect per 10,000 wully 7 author per 10,000 1 dialect per 10,000 heard 7 author per 10,000 5 dialect per 10,000 used 7 author per 10,000 2 dialect per 10,000 couldna 7 author per 10,000 2 dialect per 10,000 opened 7 author per 10,000 2 dialect per 10,000 still 7 author per 10,000 5 dialect per 10,000 gave 7 author per 10,000 1 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 ain 7 author per 10,000 8 dialect per 10,000 fair 7 author per 10,000 8 dialect per 10,000 tak 7 author per 10,000 9 dialect per 10,000 mak 7 author per 10,000 8 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 8 dialect per 10,000 its 7 author per 10,000 8 dialect per 10,000 let 7 author per 10,000 5 dialect per 10,000 much 7 author per 10,000 4 dialect per 10,000 three 7 author per 10,000 6 dialect per 10,000 better 7 author per 10,000 7 dialect per 10,000 coal 7 author per 10,000 1 dialect per 10,000
Shetland
the 707 author per 10,000 18 dialect per 10,000 tae 260 author per 10,000 86 dialect per 10,000 a 250 author per 10,000 280 dialect per 10,000 and 222 author per 10,000 15 dialect per 10,000 o 203 author per 10,000 177 dialect per 10,000 wiz 173 author per 10,000 0 dialect per 10,000 she 169 author per 10,000 7 dialect per 10,000 her 167 author per 10,000 64 dialect per 10,000 he 141 author per 10,000 103 dialect per 10,000 in 141 author per 10,000 105 dialect per 10,000 an 136 author per 10,000 330 dialect per 10,000 it 124 author per 10,000 58 dialect per 10,000 his 109 author per 10,000 52 dialect per 10,000 that 108 author per 10,000 4 dialect per 10,000 at 104 author per 10,000 112 dialect per 10,000 €™d 99 author per 10,000 2 dialect per 10,000 wi 91 author per 10,000 95 dialect per 10,000 i 83 author per 10,000 143 dialect per 10,000 as 79 author per 10,000 79 dialect per 10,000 for 78 author per 10,000 35 dialect per 10,000 on 72 author per 10,000 52 dialect per 10,000 but 68 author per 10,000 28 dialect per 10,000 hid 68 author per 10,000 1 dialect per 10,000 € 60 author per 10,000 17 dialect per 10,000 fae 54 author per 10,000 40 dialect per 10,000 up 49 author per 10,000 42 dialect per 10,000 him 48 author per 10,000 47 dialect per 10,000 €™s 48 author per 10,000 16 dialect per 10,000 this 46 author per 10,000 1 dialect per 10,000 aboot 43 author per 10,000 41 dialect per 10,000 doon 42 author per 10,000 23 dialect per 10,000 oot 42 author per 10,000 42 dialect per 10,000 they 41 author per 10,000 2 dialect per 10,000 been 38 author per 10,000 16 dialect per 10,000 intae 36 author per 10,000 8 dialect per 10,000 so 35 author per 10,000 26 dialect per 10,000 jessie 35 author per 10,000 1 dialect per 10,000 back 34 author per 10,000 18 dialect per 10,000 like 34 author per 10,000 2 dialect per 10,000 there 33 author per 10,000 1 dialect per 10,000 teen 32 author per 10,000 0 dialect per 10,000 nae 32 author per 10,000 23 dialect per 10,000 fin 32 author per 10,000 7 dialect per 10,000 them 31 author per 10,000 1 dialect per 10,000 my 29 author per 10,000 23 dialect per 10,000 ye 29 author per 10,000 0 dialect per 10,000 be 29 author per 10,000 55 dialect per 10,000 aa 28 author per 10,000 51 dialect per 10,000 fit 27 author per 10,000 4 dialect per 10,000 jist 27 author per 10,000 0 dialect per 10,000 were 27 author per 10,000 3 dialect per 10,000 ower 27 author per 10,000 24 dialect per 10,000 time 26 author per 10,000 21 dialect per 10,000 could 26 author per 10,000 12 dialect per 10,000 got 25 author per 10,000 8 dialect per 10,000 wee 25 author per 10,000 0 dialect per 10,000 by 23 author per 10,000 7 dialect per 10,000 wid 23 author per 10,000 38 dialect per 10,000 wint 23 author per 10,000 4 dialect per 10,000 get 23 author per 10,000 6 dialect per 10,000 if 23 author per 10,000 25 dialect per 10,000 said 23 author per 10,000 61 dialect per 10,000 ma 22 author per 10,000 0 dialect per 10,000 wye 21 author per 10,000 24 dialect per 10,000 mair 21 author per 10,000 19 dialect per 10,000 awa 21 author per 10,000 13 dialect per 10,000 €™ 21 author per 10,000 17 dialect per 10,000 made 21 author per 10,000 1 dialect per 10,000 een 19 author per 10,000 20 dialect per 10,000 came 19 author per 10,000 0 dialect per 10,000 big 19 author per 10,000 3 dialect per 10,000 tellt 18 author per 10,000 1 dialect per 10,000 see 18 author per 10,000 20 dialect per 10,000 aifter 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 1 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 noo 16 author per 10,000 19 dialect per 10,000 mabel 16 author per 10,000 0 dialect per 10,000 hoose 16 author per 10,000 8 dialect per 10,000 throwe 16 author per 10,000 0 dialect per 10,000 some 15 author per 10,000 13 dialect per 10,000 heed 15 author per 10,000 1 dialect per 10,000 aal 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 18 dialect per 10,000 aff 15 author per 10,000 18 dialect per 10,000 then 15 author per 10,000 1 dialect per 10,000 hame 15 author per 10,000 7 dialect per 10,000 bit 15 author per 10,000 38 dialect per 10,000 douglas 14 author per 10,000 0 dialect per 10,000 afore 14 author per 10,000 15 dialect per 10,000 or 14 author per 10,000 32 dialect per 10,000 door 14 author per 10,000 7 dialect per 10,000 me 14 author per 10,000 41 dialect per 10,000 thocht 13 author per 10,000 0 dialect per 10,000 lizzie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 of 13 author per 10,000 11 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 doctor 12 author per 10,000 1 dialect per 10,000 started 12 author per 10,000 1 dialect per 10,000 wisna 12 author per 10,000 9 dialect per 10,000 man 12 author per 10,000 17 dialect per 10,000 laird 12 author per 10,000 1 dialect per 10,000 room 12 author per 10,000 2 dialect per 10,000 didna 12 author per 10,000 10 dialect per 10,000 sayin 12 author per 10,000 4 dialect per 10,000 sat 12 author per 10,000 3 dialect per 10,000 come 12 author per 10,000 19 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 first 11 author per 10,000 10 dialect per 10,000 even 11 author per 10,000 10 dialect per 10,000 richt 11 author per 10,000 13 dialect per 10,000 side 11 author per 10,000 4 dialect per 10,000 only 11 author per 10,000 5 dialect per 10,000 gordon 11 author per 10,000 0 dialect per 10,000 affa 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 0 dialect per 10,000 jeemicky 11 author per 10,000 0 dialect per 10,000 to 11 author per 10,000 8 dialect per 10,000 yer 11 author per 10,000 0 dialect per 10,000 next 10 author per 10,000 1 dialect per 10,000 looked 10 author per 10,000 0 dialect per 10,000 put 10 author per 10,000 1 dialect per 10,000 mary 10 author per 10,000 3 dialect per 10,000 mistress 10 author per 10,000 0 dialect per 10,000 did 10 author per 10,000 9 dialect per 10,000 face 10 author per 10,000 6 dialect per 10,000 lookin 10 author per 10,000 4 dialect per 10,000 because 10 author per 10,000 0 dialect per 10,000 twa 10 author per 10,000 13 dialect per 10,000 lassie 10 author per 10,000 0 dialect per 10,000 you 10 author per 10,000 51 dialect per 10,000 fine 10 author per 10,000 7 dialect per 10,000 mornin 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 6 dialect per 10,000 again 10 author per 10,000 5 dialect per 10,000 hae 9 author per 10,000 25 dialect per 10,000 beannie 9 author per 10,000 0 dialect per 10,000 €™ve 9 author per 10,000 1 dialect per 10,000 stood 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 cook 9 author per 10,000 1 dialect per 10,000 place 9 author per 10,000 7 dialect per 10,000 than 9 author per 10,000 0 dialect per 10,000 found 9 author per 10,000 0 dialect per 10,000 one 9 author per 10,000 1 dialect per 10,000 gyan 9 author per 10,000 0 dialect per 10,000 far 9 author per 10,000 6 dialect per 10,000 eence 9 author per 10,000 2 dialect per 10,000 nicht 9 author per 10,000 3 dialect per 10,000 broo 8 author per 10,000 2 dialect per 10,000 bonny 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 10 dialect per 10,000 yin 8 author per 10,000 0 dialect per 10,000 gyang 8 author per 10,000 0 dialect per 10,000 years 8 author per 10,000 4 dialect per 10,000 ony 8 author per 10,000 13 dialect per 10,000 bob 8 author per 10,000 0 dialect per 10,000 couple 8 author per 10,000 1 dialect per 10,000 tried 8 author per 10,000 3 dialect per 10,000 weel 8 author per 10,000 18 dialect per 10,000 ontae 8 author per 10,000 1 dialect per 10,000 here 8 author per 10,000 11 dialect per 10,000 faa 8 author per 10,000 2 dialect per 10,000 was 8 author per 10,000 3 dialect per 10,000 ee 8 author per 10,000 11 dialect per 10,000 comin 8 author per 10,000 6 dialect per 10,000 €™t 8 author per 10,000 0 dialect per 10,000 dee 8 author per 10,000 21 dialect per 10,000 lang 8 author per 10,000 11 dialect per 10,000 pain 8 author per 10,000 1 dialect per 10,000 mrs 8 author per 10,000 0 dialect per 10,000 fyowe 7 author per 10,000 0 dialect per 10,000 ae 7 author per 10,000 1 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 gye 7 author per 10,000 0 dialect per 10,000 seen 7 author per 10,000 6 dialect per 10,000 each 7 author per 10,000 1 dialect per 10,000 mind 7 author per 10,000 10 dialect per 10,000 happened 7 author per 10,000 2 dialect per 10,000 wully 7 author per 10,000 0 dialect per 10,000 heard 7 author per 10,000 6 dialect per 10,000 used 7 author per 10,000 2 dialect per 10,000 couldna 7 author per 10,000 4 dialect per 10,000 opened 7 author per 10,000 0 dialect per 10,000 still 7 author per 10,000 9 dialect per 10,000 gave 7 author per 10,000 0 dialect per 10,000 days 7 author per 10,000 3 dialect per 10,000 ain 7 author per 10,000 7 dialect per 10,000 fair 7 author per 10,000 1 dialect per 10,000 tak 7 author per 10,000 12 dialect per 10,000 mak 7 author per 10,000 12 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 0 dialect per 10,000 its 7 author per 10,000 3 dialect per 10,000 let 7 author per 10,000 1 dialect per 10,000 much 7 author per 10,000 2 dialect per 10,000 three 7 author per 10,000 0 dialect per 10,000 better 7 author per 10,000 7 dialect per 10,000 coal 7 author per 10,000 0 dialect per 10,000
Orkney
the 707 author per 10,000 581 dialect per 10,000 tae 260 author per 10,000 222 dialect per 10,000 a 250 author per 10,000 296 dialect per 10,000 and 222 author per 10,000 191 dialect per 10,000 o 203 author per 10,000 199 dialect per 10,000 wiz 173 author per 10,000 0 dialect per 10,000 she 169 author per 10,000 8 dialect per 10,000 her 167 author per 10,000 48 dialect per 10,000 he 141 author per 10,000 88 dialect per 10,000 in 141 author per 10,000 147 dialect per 10,000 an 136 author per 10,000 179 dialect per 10,000 it 124 author per 10,000 23 dialect per 10,000 his 109 author per 10,000 63 dialect per 10,000 that 108 author per 10,000 75 dialect per 10,000 at 104 author per 10,000 53 dialect per 10,000 €™d 99 author per 10,000 2 dialect per 10,000 wi 91 author per 10,000 48 dialect per 10,000 i 83 author per 10,000 156 dialect per 10,000 as 79 author per 10,000 48 dialect per 10,000 for 78 author per 10,000 24 dialect per 10,000 on 72 author per 10,000 73 dialect per 10,000 but 68 author per 10,000 28 dialect per 10,000 hid 68 author per 10,000 93 dialect per 10,000 € 60 author per 10,000 5 dialect per 10,000 fae 54 author per 10,000 37 dialect per 10,000 up 49 author per 10,000 33 dialect per 10,000 him 48 author per 10,000 21 dialect per 10,000 €™s 48 author per 10,000 18 dialect per 10,000 this 46 author per 10,000 35 dialect per 10,000 aboot 43 author per 10,000 26 dialect per 10,000 doon 42 author per 10,000 28 dialect per 10,000 oot 42 author per 10,000 51 dialect per 10,000 they 41 author per 10,000 35 dialect per 10,000 been 38 author per 10,000 18 dialect per 10,000 intae 36 author per 10,000 18 dialect per 10,000 so 35 author per 10,000 29 dialect per 10,000 jessie 35 author per 10,000 0 dialect per 10,000 back 34 author per 10,000 27 dialect per 10,000 like 34 author per 10,000 31 dialect per 10,000 there 33 author per 10,000 18 dialect per 10,000 teen 32 author per 10,000 1 dialect per 10,000 nae 32 author per 10,000 3 dialect per 10,000 fin 32 author per 10,000 0 dialect per 10,000 them 31 author per 10,000 17 dialect per 10,000 my 29 author per 10,000 4 dialect per 10,000 ye 29 author per 10,000 17 dialect per 10,000 be 29 author per 10,000 42 dialect per 10,000 aa 28 author per 10,000 8 dialect per 10,000 fit 27 author per 10,000 1 dialect per 10,000 jist 27 author per 10,000 3 dialect per 10,000 were 27 author per 10,000 7 dialect per 10,000 ower 27 author per 10,000 18 dialect per 10,000 time 26 author per 10,000 18 dialect per 10,000 could 26 author per 10,000 12 dialect per 10,000 got 25 author per 10,000 12 dialect per 10,000 wee 25 author per 10,000 1 dialect per 10,000 by 23 author per 10,000 16 dialect per 10,000 wid 23 author per 10,000 20 dialect per 10,000 wint 23 author per 10,000 0 dialect per 10,000 get 23 author per 10,000 10 dialect per 10,000 if 23 author per 10,000 15 dialect per 10,000 said 23 author per 10,000 15 dialect per 10,000 ma 22 author per 10,000 1 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 mair 21 author per 10,000 1 dialect per 10,000 awa 21 author per 10,000 1 dialect per 10,000 €™ 21 author per 10,000 14 dialect per 10,000 made 21 author per 10,000 3 dialect per 10,000 een 19 author per 10,000 4 dialect per 10,000 came 19 author per 10,000 1 dialect per 10,000 big 19 author per 10,000 8 dialect per 10,000 tellt 18 author per 10,000 1 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 aifter 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 7 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 noo 16 author per 10,000 27 dialect per 10,000 mabel 16 author per 10,000 0 dialect per 10,000 hoose 16 author per 10,000 11 dialect per 10,000 throwe 16 author per 10,000 0 dialect per 10,000 some 15 author per 10,000 17 dialect per 10,000 heed 15 author per 10,000 2 dialect per 10,000 aal 15 author per 10,000 33 dialect per 10,000 day 15 author per 10,000 21 dialect per 10,000 aff 15 author per 10,000 8 dialect per 10,000 then 15 author per 10,000 18 dialect per 10,000 hame 15 author per 10,000 1 dialect per 10,000 bit 15 author per 10,000 48 dialect per 10,000 douglas 14 author per 10,000 0 dialect per 10,000 afore 14 author per 10,000 13 dialect per 10,000 or 14 author per 10,000 30 dialect per 10,000 door 14 author per 10,000 8 dialect per 10,000 me 14 author per 10,000 111 dialect per 10,000 thocht 13 author per 10,000 0 dialect per 10,000 lizzie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 of 13 author per 10,000 6 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 doctor 12 author per 10,000 1 dialect per 10,000 started 12 author per 10,000 2 dialect per 10,000 wisna 12 author per 10,000 4 dialect per 10,000 man 12 author per 10,000 12 dialect per 10,000 laird 12 author per 10,000 0 dialect per 10,000 room 12 author per 10,000 2 dialect per 10,000 didna 12 author per 10,000 9 dialect per 10,000 sayin 12 author per 10,000 0 dialect per 10,000 sat 12 author per 10,000 4 dialect per 10,000 come 12 author per 10,000 10 dialect per 10,000 fire 11 author per 10,000 3 dialect per 10,000 first 11 author per 10,000 7 dialect per 10,000 even 11 author per 10,000 6 dialect per 10,000 richt 11 author per 10,000 0 dialect per 10,000 side 11 author per 10,000 4 dialect per 10,000 only 11 author per 10,000 7 dialect per 10,000 gordon 11 author per 10,000 1 dialect per 10,000 affa 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 jeemicky 11 author per 10,000 0 dialect per 10,000 to 11 author per 10,000 9 dialect per 10,000 yer 11 author per 10,000 7 dialect per 10,000 next 10 author per 10,000 4 dialect per 10,000 looked 10 author per 10,000 0 dialect per 10,000 put 10 author per 10,000 0 dialect per 10,000 mary 10 author per 10,000 0 dialect per 10,000 mistress 10 author per 10,000 0 dialect per 10,000 did 10 author per 10,000 8 dialect per 10,000 face 10 author per 10,000 7 dialect per 10,000 lookin 10 author per 10,000 0 dialect per 10,000 because 10 author per 10,000 1 dialect per 10,000 twa 10 author per 10,000 10 dialect per 10,000 lassie 10 author per 10,000 0 dialect per 10,000 you 10 author per 10,000 33 dialect per 10,000 fine 10 author per 10,000 6 dialect per 10,000 mornin 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 1 dialect per 10,000 again 10 author per 10,000 12 dialect per 10,000 hae 9 author per 10,000 12 dialect per 10,000 beannie 9 author per 10,000 0 dialect per 10,000 €™ve 9 author per 10,000 1 dialect per 10,000 stood 9 author per 10,000 3 dialect per 10,000 last 9 author per 10,000 8 dialect per 10,000 cook 9 author per 10,000 2 dialect per 10,000 place 9 author per 10,000 4 dialect per 10,000 than 9 author per 10,000 13 dialect per 10,000 found 9 author per 10,000 0 dialect per 10,000 one 9 author per 10,000 1 dialect per 10,000 gyan 9 author per 10,000 0 dialect per 10,000 far 9 author per 10,000 4 dialect per 10,000 eence 9 author per 10,000 0 dialect per 10,000 nicht 9 author per 10,000 0 dialect per 10,000 broo 8 author per 10,000 0 dialect per 10,000 bonny 8 author per 10,000 6 dialect per 10,000 kent 8 author per 10,000 5 dialect per 10,000 yin 8 author per 10,000 2 dialect per 10,000 gyang 8 author per 10,000 0 dialect per 10,000 years 8 author per 10,000 3 dialect per 10,000 ony 8 author per 10,000 2 dialect per 10,000 bob 8 author per 10,000 1 dialect per 10,000 couple 8 author per 10,000 2 dialect per 10,000 tried 8 author per 10,000 2 dialect per 10,000 weel 8 author per 10,000 18 dialect per 10,000 ontae 8 author per 10,000 0 dialect per 10,000 here 8 author per 10,000 12 dialect per 10,000 faa 8 author per 10,000 1 dialect per 10,000 was 8 author per 10,000 2 dialect per 10,000 ee 8 author per 10,000 1 dialect per 10,000 comin 8 author per 10,000 1 dialect per 10,000 €™t 8 author per 10,000 1 dialect per 10,000 dee 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 2 dialect per 10,000 pain 8 author per 10,000 1 dialect per 10,000 mrs 8 author per 10,000 4 dialect per 10,000 fyowe 7 author per 10,000 0 dialect per 10,000 ae 7 author per 10,000 1 dialect per 10,000 things 7 author per 10,000 9 dialect per 10,000 gye 7 author per 10,000 0 dialect per 10,000 seen 7 author per 10,000 7 dialect per 10,000 each 7 author per 10,000 4 dialect per 10,000 mind 7 author per 10,000 10 dialect per 10,000 happened 7 author per 10,000 1 dialect per 10,000 wully 7 author per 10,000 0 dialect per 10,000 heard 7 author per 10,000 2 dialect per 10,000 used 7 author per 10,000 2 dialect per 10,000 couldna 7 author per 10,000 5 dialect per 10,000 opened 7 author per 10,000 0 dialect per 10,000 still 7 author per 10,000 11 dialect per 10,000 gave 7 author per 10,000 0 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 ain 7 author per 10,000 0 dialect per 10,000 fair 7 author per 10,000 3 dialect per 10,000 tak 7 author per 10,000 13 dialect per 10,000 mak 7 author per 10,000 8 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 9 dialect per 10,000 its 7 author per 10,000 2 dialect per 10,000 let 7 author per 10,000 3 dialect per 10,000 much 7 author per 10,000 6 dialect per 10,000 three 7 author per 10,000 4 dialect per 10,000 better 7 author per 10,000 6 dialect per 10,000 coal 7 author per 10,000 0 dialect per 10,000
Southern
the 707 author per 10,000 434 dialect per 10,000 tae 260 author per 10,000 205 dialect per 10,000 a 250 author per 10,000 222 dialect per 10,000 and 222 author per 10,000 15 dialect per 10,000 o 203 author per 10,000 210 dialect per 10,000 wiz 173 author per 10,000 0 dialect per 10,000 she 169 author per 10,000 99 dialect per 10,000 her 167 author per 10,000 17 dialect per 10,000 he 141 author per 10,000 11 dialect per 10,000 in 141 author per 10,000 105 dialect per 10,000 an 136 author per 10,000 309 dialect per 10,000 it 124 author per 10,000 58 dialect per 10,000 his 109 author per 10,000 38 dialect per 10,000 that 108 author per 10,000 61 dialect per 10,000 at 104 author per 10,000 75 dialect per 10,000 €™d 99 author per 10,000 8 dialect per 10,000 wi 91 author per 10,000 70 dialect per 10,000 i 83 author per 10,000 78 dialect per 10,000 as 79 author per 10,000 50 dialect per 10,000 for 78 author per 10,000 20 dialect per 10,000 on 72 author per 10,000 55 dialect per 10,000 but 68 author per 10,000 39 dialect per 10,000 hid 68 author per 10,000 0 dialect per 10,000 € 60 author per 10,000 15 dialect per 10,000 fae 54 author per 10,000 0 dialect per 10,000 up 49 author per 10,000 42 dialect per 10,000 him 48 author per 10,000 12 dialect per 10,000 €™s 48 author per 10,000 37 dialect per 10,000 this 46 author per 10,000 33 dialect per 10,000 aboot 43 author per 10,000 31 dialect per 10,000 doon 42 author per 10,000 25 dialect per 10,000 oot 42 author per 10,000 35 dialect per 10,000 they 41 author per 10,000 30 dialect per 10,000 been 38 author per 10,000 10 dialect per 10,000 intae 36 author per 10,000 11 dialect per 10,000 so 35 author per 10,000 1 dialect per 10,000 jessie 35 author per 10,000 0 dialect per 10,000 back 34 author per 10,000 19 dialect per 10,000 like 34 author per 10,000 7 dialect per 10,000 there 33 author per 10,000 16 dialect per 10,000 teen 32 author per 10,000 0 dialect per 10,000 nae 32 author per 10,000 25 dialect per 10,000 fin 32 author per 10,000 1 dialect per 10,000 them 31 author per 10,000 4 dialect per 10,000 my 29 author per 10,000 1 dialect per 10,000 ye 29 author per 10,000 18 dialect per 10,000 be 29 author per 10,000 9 dialect per 10,000 aa 28 author per 10,000 11 dialect per 10,000 fit 27 author per 10,000 6 dialect per 10,000 jist 27 author per 10,000 12 dialect per 10,000 were 27 author per 10,000 17 dialect per 10,000 ower 27 author per 10,000 14 dialect per 10,000 time 26 author per 10,000 13 dialect per 10,000 could 26 author per 10,000 12 dialect per 10,000 got 25 author per 10,000 11 dialect per 10,000 wee 25 author per 10,000 23 dialect per 10,000 by 23 author per 10,000 3 dialect per 10,000 wid 23 author per 10,000 1 dialect per 10,000 wint 23 author per 10,000 0 dialect per 10,000 get 23 author per 10,000 10 dialect per 10,000 if 23 author per 10,000 16 dialect per 10,000 said 23 author per 10,000 72 dialect per 10,000 ma 22 author per 10,000 59 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 mair 21 author per 10,000 16 dialect per 10,000 awa 21 author per 10,000 15 dialect per 10,000 €™ 21 author per 10,000 13 dialect per 10,000 made 21 author per 10,000 7 dialect per 10,000 een 19 author per 10,000 2 dialect per 10,000 came 19 author per 10,000 6 dialect per 10,000 big 19 author per 10,000 5 dialect per 10,000 tellt 18 author per 10,000 0 dialect per 10,000 see 18 author per 10,000 4 dialect per 10,000 aifter 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 13 dialect per 10,000 saw 16 author per 10,000 3 dialect per 10,000 noo 16 author per 10,000 12 dialect per 10,000 mabel 16 author per 10,000 1 dialect per 10,000 hoose 16 author per 10,000 22 dialect per 10,000 throwe 16 author per 10,000 4 dialect per 10,000 some 15 author per 10,000 10 dialect per 10,000 heed 15 author per 10,000 1 dialect per 10,000 aal 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 16 dialect per 10,000 aff 15 author per 10,000 4 dialect per 10,000 then 15 author per 10,000 17 dialect per 10,000 hame 15 author per 10,000 9 dialect per 10,000 bit 15 author per 10,000 16 dialect per 10,000 douglas 14 author per 10,000 0 dialect per 10,000 afore 14 author per 10,000 17 dialect per 10,000 or 14 author per 10,000 22 dialect per 10,000 door 14 author per 10,000 8 dialect per 10,000 me 14 author per 10,000 14 dialect per 10,000 thocht 13 author per 10,000 14 dialect per 10,000 lizzie 13 author per 10,000 1 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 of 13 author per 10,000 9 dialect per 10,000 though 13 author per 10,000 0 dialect per 10,000 doctor 12 author per 10,000 0 dialect per 10,000 started 12 author per 10,000 0 dialect per 10,000 wisna 12 author per 10,000 2 dialect per 10,000 man 12 author per 10,000 7 dialect per 10,000 laird 12 author per 10,000 3 dialect per 10,000 room 12 author per 10,000 3 dialect per 10,000 didna 12 author per 10,000 2 dialect per 10,000 sayin 12 author per 10,000 4 dialect per 10,000 sat 12 author per 10,000 4 dialect per 10,000 come 12 author per 10,000 8 dialect per 10,000 fire 11 author per 10,000 1 dialect per 10,000 first 11 author per 10,000 1 dialect per 10,000 even 11 author per 10,000 5 dialect per 10,000 richt 11 author per 10,000 20 dialect per 10,000 side 11 author per 10,000 7 dialect per 10,000 only 11 author per 10,000 8 dialect per 10,000 gordon 11 author per 10,000 0 dialect per 10,000 affa 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 1 dialect per 10,000 jeemicky 11 author per 10,000 0 dialect per 10,000 to 11 author per 10,000 1 dialect per 10,000 yer 11 author per 10,000 10 dialect per 10,000 next 10 author per 10,000 5 dialect per 10,000 looked 10 author per 10,000 7 dialect per 10,000 put 10 author per 10,000 6 dialect per 10,000 mary 10 author per 10,000 1 dialect per 10,000 mistress 10 author per 10,000 0 dialect per 10,000 did 10 author per 10,000 10 dialect per 10,000 face 10 author per 10,000 5 dialect per 10,000 lookin 10 author per 10,000 4 dialect per 10,000 because 10 author per 10,000 2 dialect per 10,000 twa 10 author per 10,000 3 dialect per 10,000 lassie 10 author per 10,000 2 dialect per 10,000 you 10 author per 10,000 2 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 mornin 10 author per 10,000 2 dialect per 10,000 look 10 author per 10,000 4 dialect per 10,000 again 10 author per 10,000 3 dialect per 10,000 hae 9 author per 10,000 36 dialect per 10,000 beannie 9 author per 10,000 0 dialect per 10,000 €™ve 9 author per 10,000 5 dialect per 10,000 stood 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 cook 9 author per 10,000 2 dialect per 10,000 place 9 author per 10,000 5 dialect per 10,000 than 9 author per 10,000 9 dialect per 10,000 found 9 author per 10,000 0 dialect per 10,000 one 9 author per 10,000 0 dialect per 10,000 gyan 9 author per 10,000 0 dialect per 10,000 far 9 author per 10,000 2 dialect per 10,000 eence 9 author per 10,000 0 dialect per 10,000 nicht 9 author per 10,000 7 dialect per 10,000 broo 8 author per 10,000 0 dialect per 10,000 bonny 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 12 dialect per 10,000 yin 8 author per 10,000 23 dialect per 10,000 gyang 8 author per 10,000 0 dialect per 10,000 years 8 author per 10,000 3 dialect per 10,000 ony 8 author per 10,000 7 dialect per 10,000 bob 8 author per 10,000 1 dialect per 10,000 couple 8 author per 10,000 1 dialect per 10,000 tried 8 author per 10,000 3 dialect per 10,000 weel 8 author per 10,000 4 dialect per 10,000 ontae 8 author per 10,000 0 dialect per 10,000 here 8 author per 10,000 14 dialect per 10,000 faa 8 author per 10,000 0 dialect per 10,000 was 8 author per 10,000 60 dialect per 10,000 ee 8 author per 10,000 58 dialect per 10,000 comin 8 author per 10,000 2 dialect per 10,000 €™t 8 author per 10,000 4 dialect per 10,000 dee 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 13 dialect per 10,000 pain 8 author per 10,000 0 dialect per 10,000 mrs 8 author per 10,000 8 dialect per 10,000 fyowe 7 author per 10,000 0 dialect per 10,000 ae 7 author per 10,000 73 dialect per 10,000 things 7 author per 10,000 2 dialect per 10,000 gye 7 author per 10,000 0 dialect per 10,000 seen 7 author per 10,000 5 dialect per 10,000 each 7 author per 10,000 2 dialect per 10,000 mind 7 author per 10,000 8 dialect per 10,000 happened 7 author per 10,000 1 dialect per 10,000 wully 7 author per 10,000 0 dialect per 10,000 heard 7 author per 10,000 6 dialect per 10,000 used 7 author per 10,000 0 dialect per 10,000 couldna 7 author per 10,000 1 dialect per 10,000 opened 7 author per 10,000 2 dialect per 10,000 still 7 author per 10,000 6 dialect per 10,000 gave 7 author per 10,000 0 dialect per 10,000 days 7 author per 10,000 7 dialect per 10,000 ain 7 author per 10,000 9 dialect per 10,000 fair 7 author per 10,000 14 dialect per 10,000 tak 7 author per 10,000 9 dialect per 10,000 mak 7 author per 10,000 8 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 13 dialect per 10,000 its 7 author per 10,000 7 dialect per 10,000 let 7 author per 10,000 3 dialect per 10,000 much 7 author per 10,000 6 dialect per 10,000 three 7 author per 10,000 2 dialect per 10,000 better 7 author per 10,000 4 dialect per 10,000 coal 7 author per 10,000 0 dialect per 10,000
Ulster
the 707 author per 10,000 296 dialect per 10,000 tae 260 author per 10,000 259 dialect per 10,000 a 250 author per 10,000 284 dialect per 10,000 and 222 author per 10,000 10 dialect per 10,000 o 203 author per 10,000 210 dialect per 10,000 wiz 173 author per 10,000 2 dialect per 10,000 she 169 author per 10,000 13 dialect per 10,000 her 167 author per 10,000 7 dialect per 10,000 he 141 author per 10,000 63 dialect per 10,000 in 141 author per 10,000 120 dialect per 10,000 an 136 author per 10,000 364 dialect per 10,000 it 124 author per 10,000 71 dialect per 10,000 his 109 author per 10,000 19 dialect per 10,000 that 108 author per 10,000 72 dialect per 10,000 at 104 author per 10,000 58 dialect per 10,000 €™d 99 author per 10,000 2 dialect per 10,000 wi 91 author per 10,000 61 dialect per 10,000 i 83 author per 10,000 10 dialect per 10,000 as 79 author per 10,000 29 dialect per 10,000 for 78 author per 10,000 33 dialect per 10,000 on 72 author per 10,000 54 dialect per 10,000 but 68 author per 10,000 42 dialect per 10,000 hid 68 author per 10,000 0 dialect per 10,000 € 60 author per 10,000 4 dialect per 10,000 fae 54 author per 10,000 14 dialect per 10,000 up 49 author per 10,000 31 dialect per 10,000 him 48 author per 10,000 9 dialect per 10,000 €™s 48 author per 10,000 11 dialect per 10,000 this 46 author per 10,000 28 dialect per 10,000 aboot 43 author per 10,000 27 dialect per 10,000 doon 42 author per 10,000 28 dialect per 10,000 oot 42 author per 10,000 51 dialect per 10,000 they 41 author per 10,000 26 dialect per 10,000 been 38 author per 10,000 2 dialect per 10,000 intae 36 author per 10,000 13 dialect per 10,000 so 35 author per 10,000 5 dialect per 10,000 jessie 35 author per 10,000 0 dialect per 10,000 back 34 author per 10,000 3 dialect per 10,000 like 34 author per 10,000 9 dialect per 10,000 there 33 author per 10,000 6 dialect per 10,000 teen 32 author per 10,000 0 dialect per 10,000 nae 32 author per 10,000 23 dialect per 10,000 fin 32 author per 10,000 5 dialect per 10,000 them 31 author per 10,000 7 dialect per 10,000 my 29 author per 10,000 2 dialect per 10,000 ye 29 author per 10,000 79 dialect per 10,000 be 29 author per 10,000 40 dialect per 10,000 aa 28 author per 10,000 45 dialect per 10,000 fit 27 author per 10,000 4 dialect per 10,000 jist 27 author per 10,000 9 dialect per 10,000 were 27 author per 10,000 5 dialect per 10,000 ower 27 author per 10,000 16 dialect per 10,000 time 26 author per 10,000 13 dialect per 10,000 could 26 author per 10,000 1 dialect per 10,000 got 25 author per 10,000 9 dialect per 10,000 wee 25 author per 10,000 26 dialect per 10,000 by 23 author per 10,000 8 dialect per 10,000 wid 23 author per 10,000 1 dialect per 10,000 wint 23 author per 10,000 0 dialect per 10,000 get 23 author per 10,000 8 dialect per 10,000 if 23 author per 10,000 13 dialect per 10,000 said 23 author per 10,000 29 dialect per 10,000 ma 22 author per 10,000 21 dialect per 10,000 wye 21 author per 10,000 14 dialect per 10,000 mair 21 author per 10,000 30 dialect per 10,000 awa 21 author per 10,000 16 dialect per 10,000 €™ 21 author per 10,000 16 dialect per 10,000 made 21 author per 10,000 6 dialect per 10,000 een 19 author per 10,000 6 dialect per 10,000 came 19 author per 10,000 2 dialect per 10,000 big 19 author per 10,000 8 dialect per 10,000 tellt 18 author per 10,000 0 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 aifter 17 author per 10,000 0 dialect per 10,000 their 17 author per 10,000 6 dialect per 10,000 saw 16 author per 10,000 1 dialect per 10,000 noo 16 author per 10,000 23 dialect per 10,000 mabel 16 author per 10,000 0 dialect per 10,000 hoose 16 author per 10,000 13 dialect per 10,000 throwe 16 author per 10,000 0 dialect per 10,000 some 15 author per 10,000 6 dialect per 10,000 heed 15 author per 10,000 1 dialect per 10,000 aal 15 author per 10,000 9 dialect per 10,000 day 15 author per 10,000 15 dialect per 10,000 aff 15 author per 10,000 15 dialect per 10,000 then 15 author per 10,000 17 dialect per 10,000 hame 15 author per 10,000 9 dialect per 10,000 bit 15 author per 10,000 10 dialect per 10,000 douglas 14 author per 10,000 0 dialect per 10,000 afore 14 author per 10,000 12 dialect per 10,000 or 14 author per 10,000 36 dialect per 10,000 door 14 author per 10,000 0 dialect per 10,000 me 14 author per 10,000 24 dialect per 10,000 thocht 13 author per 10,000 11 dialect per 10,000 lizzie 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 4 dialect per 10,000 of 13 author per 10,000 2 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 doctor 12 author per 10,000 0 dialect per 10,000 started 12 author per 10,000 0 dialect per 10,000 wisna 12 author per 10,000 0 dialect per 10,000 man 12 author per 10,000 17 dialect per 10,000 laird 12 author per 10,000 0 dialect per 10,000 room 12 author per 10,000 1 dialect per 10,000 didna 12 author per 10,000 0 dialect per 10,000 sayin 12 author per 10,000 4 dialect per 10,000 sat 12 author per 10,000 0 dialect per 10,000 come 12 author per 10,000 9 dialect per 10,000 fire 11 author per 10,000 2 dialect per 10,000 first 11 author per 10,000 1 dialect per 10,000 even 11 author per 10,000 4 dialect per 10,000 richt 11 author per 10,000 14 dialect per 10,000 side 11 author per 10,000 3 dialect per 10,000 only 11 author per 10,000 3 dialect per 10,000 gordon 11 author per 10,000 0 dialect per 10,000 affa 11 author per 10,000 0 dialect per 10,000 mither 11 author per 10,000 4 dialect per 10,000 jeemicky 11 author per 10,000 0 dialect per 10,000 to 11 author per 10,000 2 dialect per 10,000 yer 11 author per 10,000 38 dialect per 10,000 next 10 author per 10,000 0 dialect per 10,000 looked 10 author per 10,000 0 dialect per 10,000 put 10 author per 10,000 1 dialect per 10,000 mary 10 author per 10,000 3 dialect per 10,000 mistress 10 author per 10,000 0 dialect per 10,000 did 10 author per 10,000 4 dialect per 10,000 face 10 author per 10,000 3 dialect per 10,000 lookin 10 author per 10,000 0 dialect per 10,000 because 10 author per 10,000 0 dialect per 10,000 twa 10 author per 10,000 12 dialect per 10,000 lassie 10 author per 10,000 0 dialect per 10,000 you 10 author per 10,000 4 dialect per 10,000 fine 10 author per 10,000 1 dialect per 10,000 mornin 10 author per 10,000 0 dialect per 10,000 look 10 author per 10,000 1 dialect per 10,000 again 10 author per 10,000 2 dialect per 10,000 hae 9 author per 10,000 55 dialect per 10,000 beannie 9 author per 10,000 0 dialect per 10,000 €™ve 9 author per 10,000 0 dialect per 10,000 stood 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 4 dialect per 10,000 cook 9 author per 10,000 1 dialect per 10,000 place 9 author per 10,000 7 dialect per 10,000 than 9 author per 10,000 3 dialect per 10,000 found 9 author per 10,000 0 dialect per 10,000 one 9 author per 10,000 0 dialect per 10,000 gyan 9 author per 10,000 0 dialect per 10,000 far 9 author per 10,000 5 dialect per 10,000 eence 9 author per 10,000 0 dialect per 10,000 nicht 9 author per 10,000 6 dialect per 10,000 broo 8 author per 10,000 1 dialect per 10,000 bonny 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 1 dialect per 10,000 yin 8 author per 10,000 36 dialect per 10,000 gyang 8 author per 10,000 0 dialect per 10,000 years 8 author per 10,000 2 dialect per 10,000 ony 8 author per 10,000 1 dialect per 10,000 bob 8 author per 10,000 0 dialect per 10,000 couple 8 author per 10,000 0 dialect per 10,000 tried 8 author per 10,000 1 dialect per 10,000 weel 8 author per 10,000 13 dialect per 10,000 ontae 8 author per 10,000 1 dialect per 10,000 here 8 author per 10,000 10 dialect per 10,000 faa 8 author per 10,000 2 dialect per 10,000 was 8 author per 10,000 11 dialect per 10,000 ee 8 author per 10,000 3 dialect per 10,000 comin 8 author per 10,000 2 dialect per 10,000 €™t 8 author per 10,000 2 dialect per 10,000 dee 8 author per 10,000 1 dialect per 10,000 lang 8 author per 10,000 12 dialect per 10,000 pain 8 author per 10,000 1 dialect per 10,000 mrs 8 author per 10,000 0 dialect per 10,000 fyowe 7 author per 10,000 0 dialect per 10,000 ae 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 4 dialect per 10,000 gye 7 author per 10,000 7 dialect per 10,000 seen 7 author per 10,000 4 dialect per 10,000 each 7 author per 10,000 1 dialect per 10,000 mind 7 author per 10,000 3 dialect per 10,000 happened 7 author per 10,000 0 dialect per 10,000 wully 7 author per 10,000 0 dialect per 10,000 heard 7 author per 10,000 0 dialect per 10,000 used 7 author per 10,000 0 dialect per 10,000 couldna 7 author per 10,000 0 dialect per 10,000 opened 7 author per 10,000 0 dialect per 10,000 still 7 author per 10,000 4 dialect per 10,000 gave 7 author per 10,000 0 dialect per 10,000 days 7 author per 10,000 5 dialect per 10,000 ain 7 author per 10,000 15 dialect per 10,000 fair 7 author per 10,000 2 dialect per 10,000 tak 7 author per 10,000 14 dialect per 10,000 mak 7 author per 10,000 10 dialect per 10,000 catty 7 author per 10,000 0 dialect per 10,000 ither 7 author per 10,000 16 dialect per 10,000 its 7 author per 10,000 8 dialect per 10,000 let 7 author per 10,000 6 dialect per 10,000 much 7 author per 10,000 3 dialect per 10,000 three 7 author per 10,000 3 dialect per 10,000 better 7 author per 10,000 2 dialect per 10,000 coal 7 author per 10,000 0 dialect per 10,000