A Corpus of 21st Century Scots Texts

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Macdonald, Amy


Total words by this author in corpus - 1,149
Total unique words used by this author in corpus - 442
Ratio of total words to unique words - 2.6
Top ten most common words - ah, the, tae, her, and, she, in, a, it, o,

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
ah 531 author per 10,000 79 dialect per 10,000 the 453 author per 10,000 557 dialect per 10,000 tae 305 author per 10,000 212 dialect per 10,000 her 261 author per 10,000 45 dialect per 10,000 and 174 author per 10,000 102 dialect per 10,000 she 157 author per 10,000 57 dialect per 10,000 in 157 author per 10,000 148 dialect per 10,000 a 157 author per 10,000 261 dialect per 10,000 it 157 author per 10,000 119 dialect per 10,000 o 148 author per 10,000 192 dialect per 10,000 that 104 author per 10,000 110 dialect per 10,000 wis 104 author per 10,000 99 dialect per 10,000 €™s 104 author per 10,000 35 dialect per 10,000 ma 96 author per 10,000 51 dialect per 10,000 as 87 author per 10,000 59 dialect per 10,000 for 87 author per 10,000 47 dialect per 10,000 wi 87 author per 10,000 65 dialect per 10,000 me 87 author per 10,000 41 dialect per 10,000 aw 87 author per 10,000 41 dialect per 10,000 ower 87 author per 10,000 18 dialect per 10,000 time 78 author per 10,000 17 dialect per 10,000 is 78 author per 10,000 61 dialect per 10,000 €™m 78 author per 10,000 6 dialect per 10,000 an 70 author per 10,000 217 dialect per 10,000 be 70 author per 10,000 50 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 24 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 27 dialect per 10,000 even 61 author per 10,000 10 dialect per 10,000 at 61 author per 10,000 58 dialect per 10,000 €™t 52 author per 10,000 3 dialect per 10,000 oot 52 author per 10,000 39 dialect per 10,000 €™ve 52 author per 10,000 4 dialect per 10,000 we 52 author per 10,000 35 dialect per 10,000 on 52 author per 10,000 56 dialect per 10,000 aboot 52 author per 10,000 30 dialect per 10,000 now 52 author per 10,000 2 dialect per 10,000 like 52 author per 10,000 28 dialect per 10,000 where 44 author per 10,000 3 dialect per 10,000 don 44 author per 10,000 1 dialect per 10,000 ye 44 author per 10,000 59 dialect per 10,000 are 44 author per 10,000 18 dialect per 10,000 has 44 author per 10,000 5 dialect per 10,000 wid 44 author per 10,000 9 dialect per 10,000 here 44 author per 10,000 12 dialect per 10,000 who 44 author per 10,000 4 dialect per 10,000 when 44 author per 10,000 18 dialect per 10,000 been 44 author per 10,000 19 dialect per 10,000 this 44 author per 10,000 43 dialect per 10,000 car 35 author per 10,000 1 dialect per 10,000 no 35 author per 10,000 35 dialect per 10,000 find 35 author per 10,000 3 dialect per 10,000 going 35 author per 10,000 1 dialect per 10,000 there 35 author per 10,000 25 dialect per 10,000 them 35 author per 10,000 18 dialect per 10,000 to 35 author per 10,000 9 dialect per 10,000 see 35 author per 10,000 17 dialect per 10,000 oor 35 author per 10,000 16 dialect per 10,000 but 35 author per 10,000 48 dialect per 10,000 nurse 35 author per 10,000 1 dialect per 10,000 €™ll 35 author per 10,000 5 dialect per 10,000 just 35 author per 10,000 4 dialect per 10,000 night 35 author per 10,000 2 dialect per 10,000 go 35 author per 10,000 6 dialect per 10,000 leave 35 author per 10,000 1 dialect per 10,000 by 35 author per 10,000 16 dialect per 10,000 feel 35 author per 10,000 3 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 6 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 2 dialect per 10,000 hoose 26 author per 10,000 7 dialect per 10,000 still 26 author per 10,000 8 dialect per 10,000 door 26 author per 10,000 6 dialect per 10,000 one 26 author per 10,000 2 dialect per 10,000 i 26 author per 10,000 40 dialect per 10,000 thing 26 author per 10,000 7 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 1 dialect per 10,000 some 26 author per 10,000 13 dialect per 10,000 €¦ 26 author per 10,000 1 dialect per 10,000 wan 26 author per 10,000 9 dialect per 10,000 us 26 author per 10,000 15 dialect per 10,000 have 26 author per 10,000 2 dialect per 10,000 get 26 author per 10,000 16 dialect per 10,000 anely 26 author per 10,000 1 dialect per 10,000 things 26 author per 10,000 6 dialect per 10,000 come 26 author per 10,000 9 dialect per 10,000 whit 26 author per 10,000 29 dialect per 10,000 first 26 author per 10,000 9 dialect per 10,000 then 26 author per 10,000 16 dialect per 10,000 maist 26 author per 10,000 8 dialect per 10,000 hame 26 author per 10,000 6 dialect per 10,000 times 26 author per 10,000 3 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 2 dialect per 10,000 job 17 author per 10,000 1 dialect per 10,000 back 17 author per 10,000 20 dialect per 10,000 away 17 author per 10,000 3 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 9 dialect per 10,000 talk 17 author per 10,000 2 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 1 dialect per 10,000 need 17 author per 10,000 5 dialect per 10,000 could 17 author per 10,000 9 dialect per 10,000 they 17 author per 10,000 43 dialect per 10,000 into 17 author per 10,000 0 dialect per 10,000 nae 17 author per 10,000 22 dialect per 10,000 went 17 author per 10,000 7 dialect per 10,000 through 17 author per 10,000 6 dialect per 10,000 two 17 author per 10,000 3 dialect per 10,000 entrance 17 author per 10,000 0 dialect per 10,000 eyes 17 author per 10,000 3 dialect per 10,000 small 17 author per 10,000 0 dialect per 10,000 out 17 author per 10,000 3 dialect per 10,000 every 17 author per 10,000 2 dialect per 10,000 up 17 author per 10,000 40 dialect per 10,000 straight 17 author per 10,000 1 dialect per 10,000 €™d 17 author per 10,000 6 dialect per 10,000 sort 17 author per 10,000 1 dialect per 10,000 since 17 author per 10,000 2 dialect per 10,000 loved 17 author per 10,000 1 dialect per 10,000 avery 17 author per 10,000 0 dialect per 10,000 main 17 author per 10,000 1 dialect per 10,000 mrs 17 author per 10,000 3 dialect per 10,000 caw 17 author per 10,000 1 dialect per 10,000 place 17 author per 10,000 5 dialect per 10,000 area 17 author per 10,000 1 dialect per 10,000 face 17 author per 10,000 5 dialect per 10,000 stopped 17 author per 10,000 0 dialect per 10,000 reason 17 author per 10,000 1 dialect per 10,000 forgetting 17 author per 10,000 0 dialect per 10,000 check 17 author per 10,000 1 dialect per 10,000 mind 17 author per 10,000 7 dialect per 10,000 was 17 author per 10,000 7 dialect per 10,000 meenits 17 author per 10,000 1 dialect per 10,000 if 17 author per 10,000 18 dialect per 10,000 oors 17 author per 10,000 1 dialect per 10,000 notice 17 author per 10,000 1 dialect per 10,000 barely 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 2 dialect per 10,000 goodbye 17 author per 10,000 0 dialect per 10,000 race 17 author per 10,000 0 dialect per 10,000 look 17 author per 10,000 5 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 day 17 author per 10,000 13 dialect per 10,000 corner 17 author per 10,000 1 dialect per 10,000 voice 17 author per 10,000 2 dialect per 10,000 withoot 17 author per 10,000 1 dialect per 10,000 lost 17 author per 10,000 1 dialect per 10,000 seen 17 author per 10,000 6 dialect per 10,000 trying 17 author per 10,000 0 dialect per 10,000 believe 17 author per 10,000 2 dialect per 10,000 friends 17 author per 10,000 0 dialect per 10,000 ages 17 author per 10,000 1 dialect per 10,000 rather 9 author per 10,000 0 dialect per 10,000 grand 9 author per 10,000 1 dialect per 10,000 names 9 author per 10,000 1 dialect per 10,000 arrive 9 author per 10,000 0 dialect per 10,000 grass 9 author per 10,000 0 dialect per 10,000 rest 9 author per 10,000 2 dialect per 10,000 space 9 author per 10,000 1 dialect per 10,000 front 9 author per 10,000 3 dialect per 10,000 storey 9 author per 10,000 0 dialect per 10,000 building 9 author per 10,000 0 dialect per 10,000 quick 9 author per 10,000 1 dialect per 10,000 covered 9 author per 10,000 0 dialect per 10,000 examine 9 author per 10,000 0 dialect per 10,000 relatively 9 author per 10,000 0 dialect per 10,000 comes 9 author per 10,000 3 dialect per 10,000 woman 9 author per 10,000 0 dialect per 10,000 recognise 9 author per 10,000 0 dialect per 10,000 fast 9 author per 10,000 1 dialect per 10,000 crossed 9 author per 10,000 0 dialect per 10,000 path 9 author per 10,000 1 dialect per 10,000 stuff 9 author per 10,000 2 dialect per 10,000 gone 9 author per 10,000 1 dialect per 10,000 getting 9 author per 10,000 1 dialect per 10,000 focused 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 10 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 shocked 9 author per 10,000 0 dialect per 10,000 average 9 author per 10,000 0 dialect per 10,000 checking 9 author per 10,000 0 dialect per 10,000 sae 9 author per 10,000 15 dialect per 10,000 said 9 author per 10,000 44 dialect per 10,000 saying 9 author per 10,000 0 dialect per 10,000 take 9 author per 10,000 2 dialect per 10,000 decision 9 author per 10,000 0 dialect per 10,000 made 9 author per 10,000 7 dialect per 10,000 reasons 9 author per 10,000 0 dialect per 10,000 dae 9 author per 10,000 17 dialect per 10,000 spend 9 author per 10,000 0 dialect per 10,000 constant 9 author per 10,000 0 dialect per 10,000 having 9 author per 10,000 0 dialect per 10,000 dress 9 author per 10,000 0 dialect per 10,000 shivering 9 author per 10,000 0 dialect per 10,000
Doric
ah 531 author per 10,000 42 dialect per 10,000 the 453 author per 10,000 483 dialect per 10,000 tae 305 author per 10,000 168 dialect per 10,000 her 261 author per 10,000 66 dialect per 10,000 and 174 author per 10,000 45 dialect per 10,000 she 157 author per 10,000 63 dialect per 10,000 in 157 author per 10,000 136 dialect per 10,000 a 157 author per 10,000 295 dialect per 10,000 it 157 author per 10,000 106 dialect per 10,000 o 148 author per 10,000 183 dialect per 10,000 that 104 author per 10,000 54 dialect per 10,000 wis 104 author per 10,000 107 dialect per 10,000 €™s 104 author per 10,000 21 dialect per 10,000 ma 96 author per 10,000 50 dialect per 10,000 as 87 author per 10,000 53 dialect per 10,000 for 87 author per 10,000 41 dialect per 10,000 wi 87 author per 10,000 83 dialect per 10,000 me 87 author per 10,000 30 dialect per 10,000 aw 87 author per 10,000 1 dialect per 10,000 ower 87 author per 10,000 29 dialect per 10,000 time 78 author per 10,000 20 dialect per 10,000 is 78 author per 10,000 44 dialect per 10,000 €™m 78 author per 10,000 3 dialect per 10,000 an 70 author per 10,000 309 dialect per 10,000 be 70 author per 10,000 46 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 3 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 27 dialect per 10,000 even 61 author per 10,000 6 dialect per 10,000 at 61 author per 10,000 60 dialect per 10,000 €™t 52 author per 10,000 1 dialect per 10,000 oot 52 author per 10,000 51 dialect per 10,000 €™ve 52 author per 10,000 2 dialect per 10,000 we 52 author per 10,000 21 dialect per 10,000 on 52 author per 10,000 64 dialect per 10,000 aboot 52 author per 10,000 35 dialect per 10,000 now 52 author per 10,000 1 dialect per 10,000 like 52 author per 10,000 42 dialect per 10,000 where 44 author per 10,000 0 dialect per 10,000 don 44 author per 10,000 0 dialect per 10,000 ye 44 author per 10,000 94 dialect per 10,000 are 44 author per 10,000 13 dialect per 10,000 has 44 author per 10,000 3 dialect per 10,000 wid 44 author per 10,000 17 dialect per 10,000 here 44 author per 10,000 10 dialect per 10,000 who 44 author per 10,000 1 dialect per 10,000 when 44 author per 10,000 2 dialect per 10,000 been 44 author per 10,000 12 dialect per 10,000 this 44 author per 10,000 20 dialect per 10,000 car 35 author per 10,000 3 dialect per 10,000 no 35 author per 10,000 6 dialect per 10,000 find 35 author per 10,000 2 dialect per 10,000 going 35 author per 10,000 0 dialect per 10,000 there 35 author per 10,000 21 dialect per 10,000 them 35 author per 10,000 27 dialect per 10,000 to 35 author per 10,000 9 dialect per 10,000 see 35 author per 10,000 21 dialect per 10,000 oor 35 author per 10,000 7 dialect per 10,000 but 35 author per 10,000 19 dialect per 10,000 nurse 35 author per 10,000 1 dialect per 10,000 €™ll 35 author per 10,000 4 dialect per 10,000 just 35 author per 10,000 1 dialect per 10,000 night 35 author per 10,000 0 dialect per 10,000 go 35 author per 10,000 3 dialect per 10,000 leave 35 author per 10,000 3 dialect per 10,000 by 35 author per 10,000 9 dialect per 10,000 feel 35 author per 10,000 8 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 5 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 0 dialect per 10,000 hoose 26 author per 10,000 12 dialect per 10,000 still 26 author per 10,000 6 dialect per 10,000 door 26 author per 10,000 9 dialect per 10,000 one 26 author per 10,000 2 dialect per 10,000 i 26 author per 10,000 73 dialect per 10,000 thing 26 author per 10,000 6 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 13 dialect per 10,000 €¦ 26 author per 10,000 1 dialect per 10,000 wan 26 author per 10,000 2 dialect per 10,000 us 26 author per 10,000 6 dialect per 10,000 have 26 author per 10,000 1 dialect per 10,000 get 26 author per 10,000 16 dialect per 10,000 anely 26 author per 10,000 2 dialect per 10,000 things 26 author per 10,000 6 dialect per 10,000 come 26 author per 10,000 14 dialect per 10,000 whit 26 author per 10,000 1 dialect per 10,000 first 26 author per 10,000 7 dialect per 10,000 then 26 author per 10,000 9 dialect per 10,000 maist 26 author per 10,000 4 dialect per 10,000 hame 26 author per 10,000 13 dialect per 10,000 times 26 author per 10,000 3 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 1 dialect per 10,000 job 17 author per 10,000 2 dialect per 10,000 back 17 author per 10,000 23 dialect per 10,000 away 17 author per 10,000 0 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 9 dialect per 10,000 talk 17 author per 10,000 0 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 1 dialect per 10,000 need 17 author per 10,000 6 dialect per 10,000 could 17 author per 10,000 7 dialect per 10,000 they 17 author per 10,000 37 dialect per 10,000 into 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 50 dialect per 10,000 went 17 author per 10,000 4 dialect per 10,000 through 17 author per 10,000 3 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 entrance 17 author per 10,000 0 dialect per 10,000 eyes 17 author per 10,000 1 dialect per 10,000 small 17 author per 10,000 0 dialect per 10,000 out 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 1 dialect per 10,000 up 17 author per 10,000 46 dialect per 10,000 straight 17 author per 10,000 0 dialect per 10,000 €™d 17 author per 10,000 11 dialect per 10,000 sort 17 author per 10,000 1 dialect per 10,000 since 17 author per 10,000 2 dialect per 10,000 loved 17 author per 10,000 0 dialect per 10,000 avery 17 author per 10,000 0 dialect per 10,000 main 17 author per 10,000 1 dialect per 10,000 mrs 17 author per 10,000 2 dialect per 10,000 caw 17 author per 10,000 0 dialect per 10,000 place 17 author per 10,000 6 dialect per 10,000 area 17 author per 10,000 0 dialect per 10,000 face 17 author per 10,000 8 dialect per 10,000 stopped 17 author per 10,000 1 dialect per 10,000 reason 17 author per 10,000 1 dialect per 10,000 forgetting 17 author per 10,000 0 dialect per 10,000 check 17 author per 10,000 0 dialect per 10,000 mind 17 author per 10,000 5 dialect per 10,000 was 17 author per 10,000 5 dialect per 10,000 meenits 17 author per 10,000 1 dialect per 10,000 if 17 author per 10,000 18 dialect per 10,000 oors 17 author per 10,000 2 dialect per 10,000 notice 17 author per 10,000 1 dialect per 10,000 barely 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 0 dialect per 10,000 goodbye 17 author per 10,000 0 dialect per 10,000 race 17 author per 10,000 0 dialect per 10,000 look 17 author per 10,000 7 dialect per 10,000 show 17 author per 10,000 2 dialect per 10,000 day 17 author per 10,000 31 dialect per 10,000 corner 17 author per 10,000 1 dialect per 10,000 voice 17 author per 10,000 1 dialect per 10,000 withoot 17 author per 10,000 1 dialect per 10,000 lost 17 author per 10,000 1 dialect per 10,000 seen 17 author per 10,000 7 dialect per 10,000 trying 17 author per 10,000 0 dialect per 10,000 believe 17 author per 10,000 2 dialect per 10,000 friends 17 author per 10,000 0 dialect per 10,000 ages 17 author per 10,000 0 dialect per 10,000 rather 9 author per 10,000 0 dialect per 10,000 grand 9 author per 10,000 0 dialect per 10,000 names 9 author per 10,000 1 dialect per 10,000 arrive 9 author per 10,000 0 dialect per 10,000 grass 9 author per 10,000 0 dialect per 10,000 rest 9 author per 10,000 1 dialect per 10,000 space 9 author per 10,000 1 dialect per 10,000 front 9 author per 10,000 3 dialect per 10,000 storey 9 author per 10,000 0 dialect per 10,000 building 9 author per 10,000 0 dialect per 10,000 quick 9 author per 10,000 1 dialect per 10,000 covered 9 author per 10,000 1 dialect per 10,000 examine 9 author per 10,000 0 dialect per 10,000 relatively 9 author per 10,000 0 dialect per 10,000 comes 9 author per 10,000 5 dialect per 10,000 woman 9 author per 10,000 0 dialect per 10,000 recognise 9 author per 10,000 0 dialect per 10,000 fast 9 author per 10,000 0 dialect per 10,000 crossed 9 author per 10,000 0 dialect per 10,000 path 9 author per 10,000 0 dialect per 10,000 stuff 9 author per 10,000 2 dialect per 10,000 gone 9 author per 10,000 1 dialect per 10,000 getting 9 author per 10,000 1 dialect per 10,000 focused 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 15 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 shocked 9 author per 10,000 0 dialect per 10,000 average 9 author per 10,000 0 dialect per 10,000 checking 9 author per 10,000 0 dialect per 10,000 sae 9 author per 10,000 15 dialect per 10,000 said 9 author per 10,000 34 dialect per 10,000 saying 9 author per 10,000 0 dialect per 10,000 take 9 author per 10,000 1 dialect per 10,000 decision 9 author per 10,000 0 dialect per 10,000 made 9 author per 10,000 8 dialect per 10,000 reasons 9 author per 10,000 0 dialect per 10,000 dae 9 author per 10,000 5 dialect per 10,000 spend 9 author per 10,000 0 dialect per 10,000 constant 9 author per 10,000 0 dialect per 10,000 having 9 author per 10,000 0 dialect per 10,000 dress 9 author per 10,000 0 dialect per 10,000 shivering 9 author per 10,000 0 dialect per 10,000
Shetland
ah 531 author per 10,000 0 dialect per 10,000 the 453 author per 10,000 20 dialect per 10,000 tae 305 author per 10,000 74 dialect per 10,000 her 261 author per 10,000 69 dialect per 10,000 and 174 author per 10,000 16 dialect per 10,000 she 157 author per 10,000 8 dialect per 10,000 in 157 author per 10,000 97 dialect per 10,000 a 157 author per 10,000 279 dialect per 10,000 it 157 author per 10,000 60 dialect per 10,000 o 148 author per 10,000 158 dialect per 10,000 that 104 author per 10,000 4 dialect per 10,000 wis 104 author per 10,000 180 dialect per 10,000 €™s 104 author per 10,000 19 dialect per 10,000 ma 96 author per 10,000 0 dialect per 10,000 as 87 author per 10,000 77 dialect per 10,000 for 87 author per 10,000 40 dialect per 10,000 wi 87 author per 10,000 95 dialect per 10,000 me 87 author per 10,000 48 dialect per 10,000 aw 87 author per 10,000 0 dialect per 10,000 ower 87 author per 10,000 28 dialect per 10,000 time 78 author per 10,000 23 dialect per 10,000 is 78 author per 10,000 59 dialect per 10,000 €™m 78 author per 10,000 6 dialect per 10,000 an 70 author per 10,000 339 dialect per 10,000 be 70 author per 10,000 52 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 2 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 36 dialect per 10,000 even 61 author per 10,000 10 dialect per 10,000 at 61 author per 10,000 109 dialect per 10,000 €™t 52 author per 10,000 0 dialect per 10,000 oot 52 author per 10,000 47 dialect per 10,000 €™ve 52 author per 10,000 1 dialect per 10,000 we 52 author per 10,000 44 dialect per 10,000 on 52 author per 10,000 55 dialect per 10,000 aboot 52 author per 10,000 41 dialect per 10,000 now 52 author per 10,000 1 dialect per 10,000 like 52 author per 10,000 2 dialect per 10,000 where 44 author per 10,000 0 dialect per 10,000 don 44 author per 10,000 1 dialect per 10,000 ye 44 author per 10,000 0 dialect per 10,000 are 44 author per 10,000 2 dialect per 10,000 has 44 author per 10,000 3 dialect per 10,000 wid 44 author per 10,000 42 dialect per 10,000 here 44 author per 10,000 12 dialect per 10,000 who 44 author per 10,000 1 dialect per 10,000 when 44 author per 10,000 6 dialect per 10,000 been 44 author per 10,000 18 dialect per 10,000 this 44 author per 10,000 1 dialect per 10,000 car 35 author per 10,000 1 dialect per 10,000 no 35 author per 10,000 36 dialect per 10,000 find 35 author per 10,000 0 dialect per 10,000 going 35 author per 10,000 0 dialect per 10,000 there 35 author per 10,000 1 dialect per 10,000 them 35 author per 10,000 1 dialect per 10,000 to 35 author per 10,000 9 dialect per 10,000 see 35 author per 10,000 21 dialect per 10,000 oor 35 author per 10,000 1 dialect per 10,000 but 35 author per 10,000 29 dialect per 10,000 nurse 35 author per 10,000 0 dialect per 10,000 €™ll 35 author per 10,000 6 dialect per 10,000 just 35 author per 10,000 12 dialect per 10,000 night 35 author per 10,000 6 dialect per 10,000 go 35 author per 10,000 3 dialect per 10,000 leave 35 author per 10,000 0 dialect per 10,000 by 35 author per 10,000 7 dialect per 10,000 feel 35 author per 10,000 2 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 6 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 0 dialect per 10,000 hoose 26 author per 10,000 9 dialect per 10,000 still 26 author per 10,000 9 dialect per 10,000 door 26 author per 10,000 8 dialect per 10,000 one 26 author per 10,000 1 dialect per 10,000 i 26 author per 10,000 162 dialect per 10,000 thing 26 author per 10,000 7 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 14 dialect per 10,000 €¦ 26 author per 10,000 1 dialect per 10,000 wan 26 author per 10,000 14 dialect per 10,000 us 26 author per 10,000 1 dialect per 10,000 have 26 author per 10,000 3 dialect per 10,000 get 26 author per 10,000 7 dialect per 10,000 anely 26 author per 10,000 0 dialect per 10,000 things 26 author per 10,000 8 dialect per 10,000 come 26 author per 10,000 20 dialect per 10,000 whit 26 author per 10,000 41 dialect per 10,000 first 26 author per 10,000 11 dialect per 10,000 then 26 author per 10,000 0 dialect per 10,000 maist 26 author per 10,000 2 dialect per 10,000 hame 26 author per 10,000 8 dialect per 10,000 times 26 author per 10,000 4 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 0 dialect per 10,000 job 17 author per 10,000 2 dialect per 10,000 back 17 author per 10,000 19 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 9 dialect per 10,000 talk 17 author per 10,000 0 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 1 dialect per 10,000 need 17 author per 10,000 4 dialect per 10,000 could 17 author per 10,000 13 dialect per 10,000 they 17 author per 10,000 2 dialect per 10,000 into 17 author per 10,000 0 dialect per 10,000 nae 17 author per 10,000 25 dialect per 10,000 went 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 0 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 entrance 17 author per 10,000 0 dialect per 10,000 eyes 17 author per 10,000 0 dialect per 10,000 small 17 author per 10,000 0 dialect per 10,000 out 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 6 dialect per 10,000 up 17 author per 10,000 45 dialect per 10,000 straight 17 author per 10,000 1 dialect per 10,000 €™d 17 author per 10,000 2 dialect per 10,000 sort 17 author per 10,000 0 dialect per 10,000 since 17 author per 10,000 1 dialect per 10,000 loved 17 author per 10,000 1 dialect per 10,000 avery 17 author per 10,000 0 dialect per 10,000 main 17 author per 10,000 0 dialect per 10,000 mrs 17 author per 10,000 0 dialect per 10,000 caw 17 author per 10,000 0 dialect per 10,000 place 17 author per 10,000 8 dialect per 10,000 area 17 author per 10,000 0 dialect per 10,000 face 17 author per 10,000 7 dialect per 10,000 stopped 17 author per 10,000 0 dialect per 10,000 reason 17 author per 10,000 0 dialect per 10,000 forgetting 17 author per 10,000 0 dialect per 10,000 check 17 author per 10,000 0 dialect per 10,000 mind 17 author per 10,000 11 dialect per 10,000 was 17 author per 10,000 3 dialect per 10,000 meenits 17 author per 10,000 2 dialect per 10,000 if 17 author per 10,000 28 dialect per 10,000 oors 17 author per 10,000 1 dialect per 10,000 notice 17 author per 10,000 0 dialect per 10,000 barely 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 0 dialect per 10,000 goodbye 17 author per 10,000 0 dialect per 10,000 race 17 author per 10,000 0 dialect per 10,000 look 17 author per 10,000 7 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 day 17 author per 10,000 19 dialect per 10,000 corner 17 author per 10,000 0 dialect per 10,000 voice 17 author per 10,000 5 dialect per 10,000 withoot 17 author per 10,000 1 dialect per 10,000 lost 17 author per 10,000 2 dialect per 10,000 seen 17 author per 10,000 6 dialect per 10,000 trying 17 author per 10,000 0 dialect per 10,000 believe 17 author per 10,000 3 dialect per 10,000 friends 17 author per 10,000 0 dialect per 10,000 ages 17 author per 10,000 0 dialect per 10,000 rather 9 author per 10,000 0 dialect per 10,000 grand 9 author per 10,000 0 dialect per 10,000 names 9 author per 10,000 1 dialect per 10,000 arrive 9 author per 10,000 0 dialect per 10,000 grass 9 author per 10,000 0 dialect per 10,000 rest 9 author per 10,000 3 dialect per 10,000 space 9 author per 10,000 0 dialect per 10,000 front 9 author per 10,000 0 dialect per 10,000 storey 9 author per 10,000 0 dialect per 10,000 building 9 author per 10,000 0 dialect per 10,000 quick 9 author per 10,000 1 dialect per 10,000 covered 9 author per 10,000 0 dialect per 10,000 examine 9 author per 10,000 0 dialect per 10,000 relatively 9 author per 10,000 0 dialect per 10,000 comes 9 author per 10,000 4 dialect per 10,000 woman 9 author per 10,000 0 dialect per 10,000 recognise 9 author per 10,000 0 dialect per 10,000 fast 9 author per 10,000 2 dialect per 10,000 crossed 9 author per 10,000 0 dialect per 10,000 path 9 author per 10,000 0 dialect per 10,000 stuff 9 author per 10,000 1 dialect per 10,000 gone 9 author per 10,000 0 dialect per 10,000 getting 9 author per 10,000 0 dialect per 10,000 focused 9 author per 10,000 0 dialect per 10,000 say 9 author per 10,000 12 dialect per 10,000 bar 9 author per 10,000 1 dialect per 10,000 shocked 9 author per 10,000 0 dialect per 10,000 average 9 author per 10,000 0 dialect per 10,000 checking 9 author per 10,000 0 dialect per 10,000 sae 9 author per 10,000 8 dialect per 10,000 said 9 author per 10,000 73 dialect per 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Orkney
ah 531 author per 10,000 2 dialect per 10,000 the 453 author per 10,000 584 dialect per 10,000 tae 305 author per 10,000 222 dialect per 10,000 her 261 author per 10,000 48 dialect per 10,000 and 174 author per 10,000 192 dialect per 10,000 she 157 author per 10,000 8 dialect per 10,000 in 157 author per 10,000 147 dialect per 10,000 a 157 author per 10,000 296 dialect per 10,000 it 157 author per 10,000 23 dialect per 10,000 o 148 author per 10,000 198 dialect per 10,000 that 104 author per 10,000 75 dialect per 10,000 wis 104 author per 10,000 79 dialect per 10,000 €™s 104 author per 10,000 18 dialect per 10,000 ma 96 author per 10,000 1 dialect per 10,000 as 87 author per 10,000 49 dialect per 10,000 for 87 author per 10,000 24 dialect per 10,000 wi 87 author per 10,000 47 dialect per 10,000 me 87 author per 10,000 111 dialect per 10,000 aw 87 author per 10,000 0 dialect per 10,000 ower 87 author per 10,000 18 dialect per 10,000 time 78 author per 10,000 18 dialect per 10,000 is 78 author per 10,000 73 dialect per 10,000 €™m 78 author per 10,000 4 dialect per 10,000 an 70 author per 10,000 178 dialect per 10,000 be 70 author per 10,000 42 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 2 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 37 dialect per 10,000 even 61 author per 10,000 6 dialect per 10,000 at 61 author per 10,000 52 dialect per 10,000 €™t 52 author per 10,000 1 dialect per 10,000 oot 52 author per 10,000 51 dialect per 10,000 €™ve 52 author per 10,000 1 dialect per 10,000 we 52 author per 10,000 30 dialect per 10,000 on 52 author per 10,000 73 dialect per 10,000 aboot 52 author per 10,000 27 dialect per 10,000 now 52 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 31 dialect per 10,000 where 44 author per 10,000 0 dialect per 10,000 don 44 author per 10,000 1 dialect per 10,000 ye 44 author per 10,000 17 dialect per 10,000 are 44 author per 10,000 14 dialect per 10,000 has 44 author per 10,000 1 dialect per 10,000 wid 44 author per 10,000 21 dialect per 10,000 here 44 author per 10,000 12 dialect per 10,000 who 44 author per 10,000 3 dialect per 10,000 when 44 author per 10,000 22 dialect per 10,000 been 44 author per 10,000 18 dialect per 10,000 this 44 author per 10,000 35 dialect per 10,000 car 35 author per 10,000 2 dialect per 10,000 no 35 author per 10,000 59 dialect per 10,000 find 35 author per 10,000 3 dialect per 10,000 going 35 author per 10,000 1 dialect per 10,000 there 35 author per 10,000 18 dialect per 10,000 them 35 author per 10,000 17 dialect per 10,000 to 35 author per 10,000 9 dialect per 10,000 see 35 author per 10,000 16 dialect per 10,000 oor 35 author per 10,000 2 dialect per 10,000 but 35 author per 10,000 28 dialect per 10,000 nurse 35 author per 10,000 0 dialect per 10,000 €™ll 35 author per 10,000 2 dialect per 10,000 just 35 author per 10,000 2 dialect per 10,000 night 35 author per 10,000 13 dialect per 10,000 go 35 author per 10,000 10 dialect per 10,000 leave 35 author per 10,000 1 dialect per 10,000 by 35 author per 10,000 16 dialect per 10,000 feel 35 author per 10,000 4 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 8 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 0 dialect per 10,000 hoose 26 author per 10,000 11 dialect per 10,000 still 26 author per 10,000 11 dialect per 10,000 door 26 author per 10,000 7 dialect per 10,000 one 26 author per 10,000 1 dialect per 10,000 i 26 author per 10,000 156 dialect per 10,000 thing 26 author per 10,000 8 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 17 dialect per 10,000 €¦ 26 author per 10,000 4 dialect per 10,000 wan 26 author per 10,000 21 dialect per 10,000 us 26 author per 10,000 6 dialect per 10,000 have 26 author per 10,000 2 dialect per 10,000 get 26 author per 10,000 10 dialect per 10,000 anely 26 author per 10,000 0 dialect per 10,000 things 26 author per 10,000 9 dialect per 10,000 come 26 author per 10,000 10 dialect per 10,000 whit 26 author per 10,000 30 dialect per 10,000 first 26 author per 10,000 7 dialect per 10,000 then 26 author per 10,000 18 dialect per 10,000 maist 26 author per 10,000 1 dialect per 10,000 hame 26 author per 10,000 1 dialect per 10,000 times 26 author per 10,000 2 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 2 dialect per 10,000 job 17 author per 10,000 2 dialect per 10,000 back 17 author per 10,000 27 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 8 dialect per 10,000 talk 17 author per 10,000 0 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 2 dialect per 10,000 need 17 author per 10,000 4 dialect per 10,000 could 17 author per 10,000 12 dialect per 10,000 they 17 author per 10,000 34 dialect per 10,000 into 17 author per 10,000 1 dialect per 10,000 nae 17 author per 10,000 3 dialect per 10,000 went 17 author per 10,000 1 dialect per 10,000 through 17 author per 10,000 8 dialect per 10,000 two 17 author per 10,000 3 dialect per 10,000 entrance 17 author per 10,000 0 dialect per 10,000 eyes 17 author per 10,000 6 dialect per 10,000 small 17 author per 10,000 0 dialect per 10,000 out 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 4 dialect per 10,000 up 17 author per 10,000 33 dialect per 10,000 straight 17 author per 10,000 1 dialect per 10,000 €™d 17 author per 10,000 2 dialect per 10,000 sort 17 author per 10,000 1 dialect per 10,000 since 17 author per 10,000 3 dialect per 10,000 loved 17 author per 10,000 1 dialect per 10,000 avery 17 author per 10,000 0 dialect per 10,000 main 17 author per 10,000 0 dialect per 10,000 mrs 17 author per 10,000 4 dialect per 10,000 caw 17 author per 10,000 0 dialect per 10,000 place 17 author per 10,000 4 dialect per 10,000 area 17 author per 10,000 0 dialect per 10,000 face 17 author per 10,000 7 dialect per 10,000 stopped 17 author per 10,000 1 dialect per 10,000 reason 17 author per 10,000 1 dialect per 10,000 forgetting 17 author per 10,000 0 dialect per 10,000 check 17 author per 10,000 0 dialect per 10,000 mind 17 author per 10,000 10 dialect per 10,000 was 17 author per 10,000 2 dialect per 10,000 meenits 17 author per 10,000 1 dialect per 10,000 if 17 author per 10,000 15 dialect per 10,000 oors 17 author per 10,000 1 dialect per 10,000 notice 17 author per 10,000 1 dialect per 10,000 barely 17 author per 10,000 1 dialect per 10,000 other 17 author per 10,000 0 dialect per 10,000 goodbye 17 author per 10,000 0 dialect per 10,000 race 17 author per 10,000 1 dialect per 10,000 look 17 author per 10,000 1 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 day 17 author per 10,000 21 dialect per 10,000 corner 17 author per 10,000 2 dialect per 10,000 voice 17 author per 10,000 1 dialect per 10,000 withoot 17 author per 10,000 2 dialect per 10,000 lost 17 author per 10,000 4 dialect per 10,000 seen 17 author per 10,000 7 dialect per 10,000 trying 17 author per 10,000 0 dialect per 10,000 believe 17 author per 10,000 1 dialect per 10,000 friends 17 author per 10,000 0 dialect per 10,000 ages 17 author per 10,000 0 dialect per 10,000 rather 9 author per 10,000 1 dialect per 10,000 grand 9 author per 10,000 4 dialect per 10,000 names 9 author per 10,000 0 dialect per 10,000 arrive 9 author per 10,000 0 dialect per 10,000 grass 9 author per 10,000 0 dialect per 10,000 rest 9 author per 10,000 3 dialect per 10,000 space 9 author per 10,000 2 dialect per 10,000 front 9 author per 10,000 1 dialect per 10,000 storey 9 author per 10,000 0 dialect per 10,000 building 9 author per 10,000 0 dialect per 10,000 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Southern
ah 531 author per 10,000 72 dialect per 10,000 the 453 author per 10,000 484 dialect per 10,000 tae 305 author per 10,000 198 dialect per 10,000 her 261 author per 10,000 25 dialect per 10,000 and 174 author per 10,000 37 dialect per 10,000 she 157 author per 10,000 81 dialect per 10,000 in 157 author per 10,000 118 dialect per 10,000 a 157 author per 10,000 254 dialect per 10,000 it 157 author per 10,000 66 dialect per 10,000 o 148 author per 10,000 200 dialect per 10,000 that 104 author per 10,000 64 dialect per 10,000 wis 104 author per 10,000 62 dialect per 10,000 €™s 104 author per 10,000 31 dialect per 10,000 ma 96 author per 10,000 63 dialect per 10,000 as 87 author per 10,000 53 dialect per 10,000 for 87 author per 10,000 21 dialect per 10,000 wi 87 author per 10,000 75 dialect per 10,000 me 87 author per 10,000 20 dialect per 10,000 aw 87 author per 10,000 30 dialect per 10,000 ower 87 author per 10,000 17 dialect per 10,000 time 78 author per 10,000 16 dialect per 10,000 is 78 author per 10,000 60 dialect per 10,000 €™m 78 author per 10,000 5 dialect per 10,000 an 70 author per 10,000 287 dialect per 10,000 be 70 author per 10,000 16 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 3 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 6 dialect per 10,000 even 61 author per 10,000 6 dialect per 10,000 at 61 author per 10,000 66 dialect per 10,000 €™t 52 author per 10,000 4 dialect per 10,000 oot 52 author per 10,000 35 dialect per 10,000 €™ve 52 author per 10,000 3 dialect per 10,000 we 52 author per 10,000 21 dialect per 10,000 on 52 author per 10,000 53 dialect per 10,000 aboot 52 author per 10,000 29 dialect per 10,000 now 52 author per 10,000 1 dialect per 10,000 like 52 author per 10,000 12 dialect per 10,000 where 44 author per 10,000 2 dialect per 10,000 don 44 author per 10,000 0 dialect per 10,000 ye 44 author per 10,000 36 dialect per 10,000 are 44 author per 10,000 12 dialect per 10,000 has 44 author per 10,000 2 dialect per 10,000 wid 44 author per 10,000 4 dialect per 10,000 here 44 author per 10,000 14 dialect per 10,000 who 44 author per 10,000 1 dialect per 10,000 when 44 author per 10,000 16 dialect per 10,000 been 44 author per 10,000 10 dialect per 10,000 this 44 author per 10,000 35 dialect per 10,000 car 35 author per 10,000 1 dialect per 10,000 no 35 author per 10,000 30 dialect per 10,000 find 35 author per 10,000 1 dialect per 10,000 going 35 author per 10,000 0 dialect per 10,000 there 35 author per 10,000 17 dialect per 10,000 them 35 author per 10,000 8 dialect per 10,000 to 35 author per 10,000 3 dialect per 10,000 see 35 author per 10,000 7 dialect per 10,000 oor 35 author per 10,000 13 dialect per 10,000 but 35 author per 10,000 40 dialect per 10,000 nurse 35 author per 10,000 0 dialect per 10,000 €™ll 35 author per 10,000 2 dialect per 10,000 just 35 author per 10,000 3 dialect per 10,000 night 35 author per 10,000 1 dialect per 10,000 go 35 author per 10,000 1 dialect per 10,000 leave 35 author per 10,000 2 dialect per 10,000 by 35 author per 10,000 8 dialect per 10,000 feel 35 author per 10,000 3 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 6 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 1 dialect per 10,000 hoose 26 author per 10,000 18 dialect per 10,000 still 26 author per 10,000 8 dialect per 10,000 door 26 author per 10,000 7 dialect per 10,000 one 26 author per 10,000 1 dialect per 10,000 i 26 author per 10,000 62 dialect per 10,000 thing 26 author per 10,000 3 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 11 dialect per 10,000 €¦ 26 author per 10,000 1 dialect per 10,000 wan 26 author per 10,000 2 dialect per 10,000 us 26 author per 10,000 11 dialect per 10,000 have 26 author per 10,000 1 dialect per 10,000 get 26 author per 10,000 11 dialect per 10,000 anely 26 author per 10,000 1 dialect per 10,000 things 26 author per 10,000 3 dialect per 10,000 come 26 author per 10,000 9 dialect per 10,000 whit 26 author per 10,000 29 dialect per 10,000 first 26 author per 10,000 3 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 maist 26 author per 10,000 5 dialect per 10,000 hame 26 author per 10,000 10 dialect per 10,000 times 26 author per 10,000 2 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 1 dialect per 10,000 job 17 author per 10,000 2 dialect per 10,000 back 17 author per 10,000 18 dialect per 10,000 away 17 author per 10,000 2 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 10 dialect per 10,000 talk 17 author per 10,000 2 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 1 dialect per 10,000 need 17 author per 10,000 2 dialect per 10,000 could 17 author per 10,000 12 dialect per 10,000 they 17 author per 10,000 35 dialect per 10,000 into 17 author per 10,000 0 dialect per 10,000 nae 17 author per 10,000 26 dialect per 10,000 went 17 author per 10,000 12 dialect per 10,000 through 17 author per 10,000 3 dialect per 10,000 two 17 author per 10,000 1 dialect per 10,000 entrance 17 author per 10,000 0 dialect per 10,000 eyes 17 author per 10,000 4 dialect per 10,000 small 17 author per 10,000 0 dialect per 10,000 out 17 author per 10,000 1 dialect per 10,000 every 17 author per 10,000 2 dialect per 10,000 up 17 author per 10,000 40 dialect per 10,000 straight 17 author per 10,000 0 dialect per 10,000 €™d 17 author per 10,000 8 dialect per 10,000 sort 17 author per 10,000 2 dialect per 10,000 since 17 author per 10,000 1 dialect per 10,000 loved 17 author per 10,000 1 dialect per 10,000 avery 17 author per 10,000 0 dialect per 10,000 main 17 author per 10,000 1 dialect per 10,000 mrs 17 author per 10,000 7 dialect per 10,000 caw 17 author per 10,000 1 dialect per 10,000 place 17 author per 10,000 5 dialect per 10,000 area 17 author per 10,000 0 dialect per 10,000 face 17 author per 10,000 5 dialect per 10,000 stopped 17 author per 10,000 0 dialect per 10,000 reason 17 author per 10,000 1 dialect per 10,000 forgetting 17 author per 10,000 0 dialect per 10,000 check 17 author per 10,000 0 dialect per 10,000 mind 17 author per 10,000 9 dialect per 10,000 was 17 author per 10,000 46 dialect per 10,000 meenits 17 author per 10,000 1 dialect per 10,000 if 17 author per 10,000 15 dialect per 10,000 oors 17 author per 10,000 1 dialect per 10,000 notice 17 author per 10,000 1 dialect per 10,000 barely 17 author per 10,000 0 dialect per 10,000 other 17 author per 10,000 1 dialect per 10,000 goodbye 17 author per 10,000 0 dialect per 10,000 race 17 author per 10,000 0 dialect per 10,000 look 17 author per 10,000 4 dialect per 10,000 show 17 author per 10,000 1 dialect per 10,000 day 17 author per 10,000 17 dialect per 10,000 corner 17 author per 10,000 1 dialect per 10,000 voice 17 author per 10,000 7 dialect per 10,000 withoot 17 author per 10,000 3 dialect per 10,000 lost 17 author per 10,000 1 dialect per 10,000 seen 17 author per 10,000 6 dialect per 10,000 trying 17 author per 10,000 0 dialect per 10,000 believe 17 author per 10,000 1 dialect per 10,000 friends 17 author per 10,000 0 dialect per 10,000 ages 17 author per 10,000 0 dialect per 10,000 rather 9 author per 10,000 0 dialect per 10,000 grand 9 author per 10,000 2 dialect per 10,000 names 9 author per 10,000 2 dialect per 10,000 arrive 9 author per 10,000 0 dialect per 10,000 grass 9 author per 10,000 1 dialect per 10,000 rest 9 author per 10,000 3 dialect per 10,000 space 9 author per 10,000 1 dialect per 10,000 front 9 author per 10,000 1 dialect per 10,000 storey 9 author per 10,000 0 dialect per 10,000 building 9 author per 10,000 0 dialect per 10,000 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Ulster
ah 531 author per 10,000 13 dialect per 10,000 the 453 author per 10,000 296 dialect per 10,000 tae 305 author per 10,000 259 dialect per 10,000 her 261 author per 10,000 7 dialect per 10,000 and 174 author per 10,000 10 dialect per 10,000 she 157 author per 10,000 13 dialect per 10,000 in 157 author per 10,000 120 dialect per 10,000 a 157 author per 10,000 284 dialect per 10,000 it 157 author per 10,000 71 dialect per 10,000 o 148 author per 10,000 210 dialect per 10,000 that 104 author per 10,000 72 dialect per 10,000 wis 104 author per 10,000 1 dialect per 10,000 €™s 104 author per 10,000 11 dialect per 10,000 ma 96 author per 10,000 21 dialect per 10,000 as 87 author per 10,000 29 dialect per 10,000 for 87 author per 10,000 33 dialect per 10,000 wi 87 author per 10,000 61 dialect per 10,000 me 87 author per 10,000 24 dialect per 10,000 aw 87 author per 10,000 1 dialect per 10,000 ower 87 author per 10,000 16 dialect per 10,000 time 78 author per 10,000 13 dialect per 10,000 is 78 author per 10,000 19 dialect per 10,000 €™m 78 author per 10,000 1 dialect per 10,000 an 70 author per 10,000 364 dialect per 10,000 be 70 author per 10,000 40 dialect per 10,000 awmaist 70 author per 10,000 0 dialect per 10,000 had 70 author per 10,000 15 dialect per 10,000 evelynn 70 author per 10,000 0 dialect per 10,000 fae 61 author per 10,000 14 dialect per 10,000 even 61 author per 10,000 4 dialect per 10,000 at 61 author per 10,000 58 dialect per 10,000 €™t 52 author per 10,000 2 dialect per 10,000 oot 52 author per 10,000 51 dialect per 10,000 €™ve 52 author per 10,000 0 dialect per 10,000 we 52 author per 10,000 18 dialect per 10,000 on 52 author per 10,000 54 dialect per 10,000 aboot 52 author per 10,000 27 dialect per 10,000 now 52 author per 10,000 0 dialect per 10,000 like 52 author per 10,000 9 dialect per 10,000 where 44 author per 10,000 1 dialect per 10,000 don 44 author per 10,000 0 dialect per 10,000 ye 44 author per 10,000 79 dialect per 10,000 are 44 author per 10,000 4 dialect per 10,000 has 44 author per 10,000 1 dialect per 10,000 wid 44 author per 10,000 1 dialect per 10,000 here 44 author per 10,000 10 dialect per 10,000 who 44 author per 10,000 1 dialect per 10,000 when 44 author per 10,000 2 dialect per 10,000 been 44 author per 10,000 2 dialect per 10,000 this 44 author per 10,000 28 dialect per 10,000 car 35 author per 10,000 0 dialect per 10,000 no 35 author per 10,000 22 dialect per 10,000 find 35 author per 10,000 0 dialect per 10,000 going 35 author per 10,000 0 dialect per 10,000 there 35 author per 10,000 6 dialect per 10,000 them 35 author per 10,000 7 dialect per 10,000 to 35 author per 10,000 2 dialect per 10,000 see 35 author per 10,000 16 dialect per 10,000 oor 35 author per 10,000 16 dialect per 10,000 but 35 author per 10,000 42 dialect per 10,000 nurse 35 author per 10,000 0 dialect per 10,000 €™ll 35 author per 10,000 2 dialect per 10,000 just 35 author per 10,000 1 dialect per 10,000 night 35 author per 10,000 0 dialect per 10,000 go 35 author per 10,000 4 dialect per 10,000 leave 35 author per 10,000 0 dialect per 10,000 by 35 author per 10,000 8 dialect per 10,000 feel 35 author per 10,000 2 dialect per 10,000 disease 35 author per 10,000 0 dialect per 10,000 last 26 author per 10,000 4 dialect per 10,000 coudnae 26 author per 10,000 0 dialect per 10,000 thought 26 author per 10,000 0 dialect per 10,000 hoose 26 author per 10,000 13 dialect per 10,000 still 26 author per 10,000 4 dialect per 10,000 door 26 author per 10,000 0 dialect per 10,000 one 26 author per 10,000 0 dialect per 10,000 i 26 author per 10,000 10 dialect per 10,000 thing 26 author per 10,000 7 dialect per 10,000 looking 26 author per 10,000 0 dialect per 10,000 takes 26 author per 10,000 0 dialect per 10,000 some 26 author per 10,000 6 dialect per 10,000 €¦ 26 author per 10,000 0 dialect per 10,000 wan 26 author per 10,000 0 dialect per 10,000 us 26 author per 10,000 4 dialect per 10,000 have 26 author per 10,000 0 dialect per 10,000 get 26 author per 10,000 8 dialect per 10,000 anely 26 author per 10,000 0 dialect per 10,000 things 26 author per 10,000 4 dialect per 10,000 come 26 author per 10,000 9 dialect per 10,000 whit 26 author per 10,000 2 dialect per 10,000 first 26 author per 10,000 1 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 maist 26 author per 10,000 7 dialect per 10,000 hame 26 author per 10,000 9 dialect per 10,000 times 26 author per 10,000 3 dialect per 10,000 alzheimer 17 author per 10,000 0 dialect per 10,000 patients 17 author per 10,000 0 dialect per 10,000 walk 17 author per 10,000 0 dialect per 10,000 job 17 author per 10,000 0 dialect per 10,000 back 17 author per 10,000 3 dialect per 10,000 away 17 author per 10,000 1 dialect per 10,000 round 17 author per 10,000 0 dialect per 10,000 did 17 author per 10,000 4 dialect per 10,000 talk 17 author per 10,000 0 dialect per 10,000 give 17 author per 10,000 0 dialect per 10,000 meet 17 author per 10,000 1 dialect 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