A Corpus of 21st Century Scots Texts

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Connor, Bailey


Total words by this author in corpus - 1,397
Total unique words used by this author in corpus - 620
Ratio of total words to unique words - 2.253
Top ten most common words - the, and, she, wis, a, tae, her, that, in, hazel,

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.

Lallans
the 737 author per 10,000 548 dialect per 10,000 and 351 author per 10,000 107 dialect per 10,000 she 336 author per 10,000 63 dialect per 10,000 wis 308 author per 10,000 104 dialect per 10,000 a 229 author per 10,000 260 dialect per 10,000 tae 200 author per 10,000 221 dialect per 10,000 her 193 author per 10,000 48 dialect per 10,000 that 165 author per 10,000 114 dialect per 10,000 in 150 author per 10,000 147 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 6 dialect per 10,000 it 107 author per 10,000 124 dialect per 10,000 ae 107 author per 10,000 21 dialect per 10,000 wee 86 author per 10,000 28 dialect per 10,000 wi 79 author per 10,000 62 dialect per 10,000 up 72 author per 10,000 41 dialect per 10,000 as 64 author per 10,000 60 dialect per 10,000 if 57 author per 10,000 19 dialect per 10,000 fae 57 author per 10,000 28 dialect per 10,000 like 57 author per 10,000 28 dialect per 10,000 €™d 50 author per 10,000 7 dialect per 10,000 this 50 author per 10,000 42 dialect per 10,000 o 50 author per 10,000 183 dialect per 10,000 fir 50 author per 10,000 7 dialect per 10,000 weans 50 author per 10,000 2 dialect per 10,000 €™s 43 author per 10,000 38 dialect per 10,000 its 43 author per 10,000 10 dialect per 10,000 be 43 author per 10,000 50 dialect per 10,000 ye 43 author per 10,000 58 dialect per 10,000 aboot 43 author per 10,000 31 dialect per 10,000 by 43 author per 10,000 16 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 47 dialect per 10,000 when 36 author per 10,000 19 dialect per 10,000 at 36 author per 10,000 58 dialect per 10,000 their 36 author per 10,000 18 dialect per 10,000 couldnae 36 author per 10,000 3 dialect per 10,000 door 36 author per 10,000 7 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 206 dialect per 10,000 been 29 author per 10,000 20 dialect per 10,000 aff 29 author per 10,000 14 dialect per 10,000 €” 29 author per 10,000 1 dialect per 10,000 wid 29 author per 10,000 9 dialect per 10,000 them 29 author per 10,000 19 dialect per 10,000 oan 29 author per 10,000 18 dialect per 10,000 or 29 author per 10,000 28 dialect per 10,000 hoose 29 author per 10,000 7 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 7 dialect per 10,000 aw 29 author per 10,000 45 dialect per 10,000 doon 29 author per 10,000 18 dialect per 10,000 twa 29 author per 10,000 9 dialect per 10,000 wind 29 author per 10,000 1 dialect per 10,000 windae 29 author per 10,000 2 dialect per 10,000 way 21 author per 10,000 3 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 0 dialect per 10,000 lang 21 author per 10,000 9 dialect per 10,000 wan 21 author per 10,000 10 dialect per 10,000 of 21 author per 10,000 9 dialect per 10,000 birds 21 author per 10,000 0 dialect per 10,000 intae 21 author per 10,000 19 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 clouds 21 author per 10,000 0 dialect per 10,000 how 21 author per 10,000 7 dialect per 10,000 storm 21 author per 10,000 0 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 thick 21 author per 10,000 1 dialect per 10,000 fur 21 author per 10,000 24 dialect per 10,000 mair 21 author per 10,000 18 dialect per 10,000 they 21 author per 10,000 44 dialect per 10,000 weather 21 author per 10,000 0 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 17 dialect per 10,000 look 21 author per 10,000 6 dialect per 10,000 behin 21 author per 10,000 0 dialect per 10,000 on 21 author per 10,000 55 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 3 dialect per 10,000 oot 21 author per 10,000 41 dialect per 10,000 see 21 author per 10,000 17 dialect per 10,000 stair 21 author per 10,000 1 dialect per 10,000 rain 21 author per 10,000 1 dialect per 10,000 €™ 21 author per 10,000 40 dialect per 10,000 seemed 21 author per 10,000 2 dialect per 10,000 roon 21 author per 10,000 3 dialect per 10,000 singin 21 author per 10,000 1 dialect per 10,000 could 21 author per 10,000 10 dialect per 10,000 heid 14 author per 10,000 10 dialect per 10,000 €™ve 14 author per 10,000 4 dialect per 10,000 let 14 author per 10,000 4 dialect per 10,000 jist 14 author per 10,000 24 dialect per 10,000 now 14 author per 10,000 2 dialect per 10,000 even 14 author per 10,000 11 dialect per 10,000 sun 14 author per 10,000 2 dialect per 10,000 made 14 author per 10,000 8 dialect per 10,000 staunin 14 author per 10,000 2 dialect per 10,000 € 14 author per 10,000 33 dialect per 10,000 must 14 author per 10,000 2 dialect per 10,000 to 14 author per 10,000 8 dialect per 10,000 wisnae 14 author per 10,000 5 dialect per 10,000 dae 14 author per 10,000 18 dialect per 10,000 nicht 14 author per 10,000 5 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 2 dialect per 10,000 quite 14 author per 10,000 2 dialect per 10,000 still 14 author per 10,000 8 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 10 dialect per 10,000 far 14 author per 10,000 2 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 1 dialect per 10,000 asleep 14 author per 10,000 0 dialect per 10,000 heard 14 author per 10,000 4 dialect per 10,000 finally 14 author per 10,000 1 dialect per 10,000 feet 14 author per 10,000 2 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 29 dialect per 10,000 only 14 author per 10,000 6 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 21 dialect per 10,000 gairden 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 would 14 author per 10,000 2 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 1 dialect per 10,000 first 14 author per 10,000 9 dialect per 10,000 than 14 author per 10,000 11 dialect per 10,000 hing 14 author per 10,000 2 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 1 dialect per 10,000 fin 14 author per 10,000 1 dialect per 10,000 noo 14 author per 10,000 13 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 0 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 2 dialect per 10,000 winter 14 author per 10,000 1 dialect per 10,000 able 14 author per 10,000 2 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 1 dialect per 10,000 warm 14 author per 10,000 1 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 1 dialect per 10,000 poor 14 author per 10,000 1 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 alane 14 author per 10,000 1 dialect per 10,000 happy 14 author per 10,000 2 dialect per 10,000 pines 14 author per 10,000 0 dialect per 10,000 hair 14 author per 10,000 3 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 just 14 author per 10,000 5 dialect per 10,000 unluckiest 14 author per 10,000 0 dialect per 10,000 found 14 author per 10,000 0 dialect per 10,000 course 14 author per 10,000 1 dialect per 10,000 his 14 author per 10,000 53 dialect per 10,000 claws 14 author per 10,000 0 dialect per 10,000 side 14 author per 10,000 3 dialect per 10,000 snell 14 author per 10,000 0 dialect per 10,000 path 14 author per 10,000 1 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 caught 14 author per 10,000 1 dialect per 10,000 dug 14 author per 10,000 2 dialect per 10,000 icy 14 author per 10,000 0 dialect per 10,000 hersel 14 author per 10,000 2 dialect per 10,000 white 14 author per 10,000 3 dialect per 10,000 lost 14 author per 10,000 1 dialect per 10,000 stars 14 author per 10,000 0 dialect per 10,000 painted 14 author per 10,000 0 dialect per 10,000 metal 14 author per 10,000 0 dialect per 10,000 horrible 14 author per 10,000 0 dialect per 10,000 good 7 author per 10,000 2 dialect per 10,000 impossibly 7 author per 10,000 0 dialect per 10,000 besides 7 author per 10,000 0 dialect per 10,000 occasional 7 author per 10,000 0 dialect per 10,000 tried 7 author per 10,000 2 dialect per 10,000 whisker 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000 twitch 7 author per 10,000 0 dialect per 10,000 fit 7 author per 10,000 2 dialect per 10,000 snug 7 author per 10,000 0 dialect per 10,000 coats 7 author per 10,000 0 dialect per 10,000 one 7 author per 10,000 2 dialect per 10,000 maze-like 7 author per 10,000 0 dialect per 10,000 curl 7 author per 10,000 0 dialect per 10,000 nose 7 author per 10,000 1 dialect per 10,000 didnae 7 author per 10,000 7 dialect per 10,000 ignore 7 author per 10,000 0 dialect per 10,000 seat 7 author per 10,000 1 dialect per 10,000 end 7 author per 10,000 4 dialect per 10,000 company 7 author per 10,000 1 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 2 dialect per 10,000 staun 7 author per 10,000 1 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 1 dialect per 10,000 going 7 author per 10,000 1 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000
Doric
the 737 author per 10,000 525 dialect per 10,000 and 351 author per 10,000 44 dialect per 10,000 she 336 author per 10,000 63 dialect per 10,000 wis 308 author per 10,000 114 dialect per 10,000 a 229 author per 10,000 288 dialect per 10,000 tae 200 author per 10,000 170 dialect per 10,000 her 193 author per 10,000 71 dialect per 10,000 that 165 author per 10,000 57 dialect per 10,000 in 150 author per 10,000 134 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 2 dialect per 10,000 it 107 author per 10,000 109 dialect per 10,000 ae 107 author per 10,000 8 dialect per 10,000 wee 86 author per 10,000 19 dialect per 10,000 wi 79 author per 10,000 88 dialect per 10,000 up 72 author per 10,000 49 dialect per 10,000 as 64 author per 10,000 54 dialect per 10,000 if 57 author per 10,000 16 dialect per 10,000 fae 57 author per 10,000 29 dialect per 10,000 like 57 author per 10,000 42 dialect per 10,000 €™d 50 author per 10,000 14 dialect per 10,000 this 50 author per 10,000 21 dialect per 10,000 o 50 author per 10,000 197 dialect per 10,000 fir 50 author per 10,000 18 dialect per 10,000 weans 50 author per 10,000 0 dialect per 10,000 €™s 43 author per 10,000 28 dialect per 10,000 its 43 author per 10,000 8 dialect per 10,000 be 43 author per 10,000 42 dialect per 10,000 ye 43 author per 10,000 80 dialect per 10,000 aboot 43 author per 10,000 37 dialect per 10,000 by 43 author per 10,000 7 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 14 dialect per 10,000 when 36 author per 10,000 2 dialect per 10,000 at 36 author per 10,000 59 dialect per 10,000 their 36 author per 10,000 23 dialect per 10,000 couldnae 36 author per 10,000 1 dialect per 10,000 door 36 author per 10,000 9 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 318 dialect per 10,000 been 29 author per 10,000 12 dialect per 10,000 aff 29 author per 10,000 15 dialect per 10,000 €” 29 author per 10,000 0 dialect per 10,000 wid 29 author per 10,000 18 dialect per 10,000 them 29 author per 10,000 30 dialect per 10,000 oan 29 author per 10,000 13 dialect per 10,000 or 29 author per 10,000 23 dialect per 10,000 hoose 29 author per 10,000 12 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 2 dialect per 10,000 aw 29 author per 10,000 0 dialect per 10,000 doon 29 author per 10,000 34 dialect per 10,000 twa 29 author per 10,000 20 dialect per 10,000 wind 29 author per 10,000 1 dialect per 10,000 windae 29 author per 10,000 2 dialect per 10,000 way 21 author per 10,000 1 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 1 dialect per 10,000 lang 21 author per 10,000 12 dialect per 10,000 wan 21 author per 10,000 1 dialect per 10,000 of 21 author per 10,000 8 dialect per 10,000 birds 21 author per 10,000 1 dialect per 10,000 intae 21 author per 10,000 12 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 clouds 21 author per 10,000 0 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 storm 21 author per 10,000 0 dialect per 10,000 hear 21 author per 10,000 3 dialect per 10,000 thick 21 author per 10,000 1 dialect per 10,000 fur 21 author per 10,000 20 dialect per 10,000 mair 21 author per 10,000 19 dialect per 10,000 they 21 author per 10,000 39 dialect per 10,000 weather 21 author per 10,000 0 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 13 dialect per 10,000 look 21 author per 10,000 7 dialect per 10,000 behin 21 author per 10,000 0 dialect per 10,000 on 21 author per 10,000 62 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 4 dialect per 10,000 oot 21 author per 10,000 53 dialect per 10,000 see 21 author per 10,000 21 dialect per 10,000 stair 21 author per 10,000 1 dialect per 10,000 rain 21 author per 10,000 8 dialect per 10,000 €™ 21 author per 10,000 31 dialect per 10,000 seemed 21 author per 10,000 2 dialect per 10,000 roon 21 author per 10,000 12 dialect per 10,000 singin 21 author per 10,000 1 dialect per 10,000 could 21 author per 10,000 7 dialect per 10,000 heid 14 author per 10,000 11 dialect per 10,000 €™ve 14 author per 10,000 3 dialect per 10,000 let 14 author per 10,000 4 dialect per 10,000 jist 14 author per 10,000 37 dialect per 10,000 now 14 author per 10,000 1 dialect per 10,000 even 14 author per 10,000 7 dialect per 10,000 sun 14 author per 10,000 2 dialect per 10,000 made 14 author per 10,000 9 dialect per 10,000 staunin 14 author per 10,000 0 dialect per 10,000 € 14 author per 10,000 18 dialect per 10,000 must 14 author per 10,000 1 dialect per 10,000 to 14 author per 10,000 9 dialect per 10,000 wisnae 14 author per 10,000 2 dialect per 10,000 dae 14 author per 10,000 4 dialect per 10,000 nicht 14 author per 10,000 12 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 0 dialect per 10,000 quite 14 author per 10,000 1 dialect per 10,000 still 14 author per 10,000 6 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 9 dialect per 10,000 far 14 author per 10,000 14 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 2 dialect per 10,000 asleep 14 author per 10,000 1 dialect per 10,000 heard 14 author per 10,000 5 dialect per 10,000 finally 14 author per 10,000 1 dialect per 10,000 feet 14 author per 10,000 4 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 3 dialect per 10,000 only 14 author per 10,000 5 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 23 dialect per 10,000 gairden 14 author per 10,000 2 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 would 14 author per 10,000 1 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 1 dialect per 10,000 first 14 author per 10,000 8 dialect per 10,000 than 14 author per 10,000 9 dialect per 10,000 hing 14 author per 10,000 1 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 5 dialect per 10,000 fin 14 author per 10,000 25 dialect per 10,000 noo 14 author per 10,000 21 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 0 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 2 dialect per 10,000 winter 14 author per 10,000 3 dialect per 10,000 able 14 author per 10,000 1 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 0 dialect per 10,000 warm 14 author per 10,000 3 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 0 dialect per 10,000 poor 14 author per 10,000 1 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 alane 14 author per 10,000 1 dialect per 10,000 happy 14 author per 10,000 2 dialect per 10,000 pines 14 author per 10,000 0 dialect per 10,000 hair 14 author per 10,000 3 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 just 14 author per 10,000 1 dialect per 10,000 unluckiest 14 author per 10,000 0 dialect per 10,000 found 14 author per 10,000 1 dialect per 10,000 course 14 author per 10,000 1 dialect per 10,000 his 14 author per 10,000 77 dialect per 10,000 claws 14 author per 10,000 0 dialect per 10,000 side 14 author per 10,000 5 dialect per 10,000 snell 14 author per 10,000 0 dialect per 10,000 path 14 author per 10,000 0 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 caught 14 author per 10,000 0 dialect per 10,000 dug 14 author per 10,000 2 dialect per 10,000 icy 14 author per 10,000 0 dialect per 10,000 hersel 14 author per 10,000 2 dialect per 10,000 white 14 author per 10,000 0 dialect per 10,000 lost 14 author per 10,000 1 dialect per 10,000 stars 14 author per 10,000 0 dialect per 10,000 painted 14 author per 10,000 0 dialect per 10,000 metal 14 author per 10,000 0 dialect per 10,000 horrible 14 author per 10,000 0 dialect per 10,000 good 7 author per 10,000 1 dialect per 10,000 impossibly 7 author per 10,000 0 dialect per 10,000 besides 7 author per 10,000 0 dialect per 10,000 occasional 7 author per 10,000 0 dialect per 10,000 tried 7 author per 10,000 3 dialect per 10,000 whisker 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 2 dialect per 10,000 twitch 7 author per 10,000 0 dialect per 10,000 fit 7 author per 10,000 40 dialect per 10,000 snug 7 author per 10,000 0 dialect per 10,000 coats 7 author per 10,000 0 dialect per 10,000 one 7 author per 10,000 2 dialect per 10,000 maze-like 7 author per 10,000 0 dialect per 10,000 curl 7 author per 10,000 0 dialect per 10,000 nose 7 author per 10,000 1 dialect per 10,000 didnae 7 author per 10,000 2 dialect per 10,000 ignore 7 author per 10,000 0 dialect per 10,000 seat 7 author per 10,000 2 dialect per 10,000 end 7 author per 10,000 2 dialect per 10,000 company 7 author per 10,000 1 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 0 dialect per 10,000 staun 7 author per 10,000 0 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 0 dialect per 10,000 going 7 author per 10,000 0 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000
Shetland
the 737 author per 10,000 26 dialect per 10,000 and 351 author per 10,000 20 dialect per 10,000 she 336 author per 10,000 5 dialect per 10,000 wis 308 author per 10,000 182 dialect per 10,000 a 229 author per 10,000 267 dialect per 10,000 tae 200 author per 10,000 58 dialect per 10,000 her 193 author per 10,000 72 dialect per 10,000 that 165 author per 10,000 5 dialect per 10,000 in 150 author per 10,000 95 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 0 dialect per 10,000 it 107 author per 10,000 69 dialect per 10,000 ae 107 author per 10,000 1 dialect per 10,000 wee 86 author per 10,000 0 dialect per 10,000 wi 79 author per 10,000 94 dialect per 10,000 up 72 author per 10,000 46 dialect per 10,000 as 64 author per 10,000 78 dialect per 10,000 if 57 author per 10,000 29 dialect per 10,000 fae 57 author per 10,000 35 dialect per 10,000 like 57 author per 10,000 3 dialect per 10,000 €™d 50 author per 10,000 1 dialect per 10,000 this 50 author per 10,000 3 dialect per 10,000 o 50 author per 10,000 146 dialect per 10,000 fir 50 author per 10,000 25 dialect per 10,000 weans 50 author per 10,000 0 dialect per 10,000 €™s 43 author per 10,000 12 dialect per 10,000 its 43 author per 10,000 3 dialect per 10,000 be 43 author per 10,000 55 dialect per 10,000 ye 43 author per 10,000 0 dialect per 10,000 aboot 43 author per 10,000 42 dialect per 10,000 by 43 author per 10,000 7 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 29 dialect per 10,000 when 36 author per 10,000 4 dialect per 10,000 at 36 author per 10,000 116 dialect per 10,000 their 36 author per 10,000 1 dialect per 10,000 couldnae 36 author per 10,000 0 dialect per 10,000 door 36 author per 10,000 9 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 342 dialect per 10,000 been 29 author per 10,000 19 dialect per 10,000 aff 29 author per 10,000 21 dialect per 10,000 €” 29 author per 10,000 0 dialect per 10,000 wid 29 author per 10,000 44 dialect per 10,000 them 29 author per 10,000 1 dialect per 10,000 oan 29 author per 10,000 0 dialect per 10,000 or 29 author per 10,000 24 dialect per 10,000 hoose 29 author per 10,000 10 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 0 dialect per 10,000 aw 29 author per 10,000 0 dialect per 10,000 doon 29 author per 10,000 25 dialect per 10,000 twa 29 author per 10,000 10 dialect per 10,000 wind 29 author per 10,000 3 dialect per 10,000 windae 29 author per 10,000 0 dialect per 10,000 way 21 author per 10,000 1 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 0 dialect per 10,000 lang 21 author per 10,000 11 dialect per 10,000 wan 21 author per 10,000 14 dialect per 10,000 of 21 author per 10,000 13 dialect per 10,000 birds 21 author per 10,000 2 dialect per 10,000 intae 21 author per 10,000 7 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 clouds 21 author per 10,000 0 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 storm 21 author per 10,000 1 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 thick 21 author per 10,000 0 dialect per 10,000 fur 21 author per 10,000 35 dialect per 10,000 mair 21 author per 10,000 17 dialect per 10,000 they 21 author per 10,000 2 dialect per 10,000 weather 21 author per 10,000 0 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 3 dialect per 10,000 look 21 author per 10,000 7 dialect per 10,000 behin 21 author per 10,000 0 dialect per 10,000 on 21 author per 10,000 53 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 46 dialect per 10,000 oot 21 author per 10,000 46 dialect per 10,000 see 21 author per 10,000 22 dialect per 10,000 stair 21 author per 10,000 1 dialect per 10,000 rain 21 author per 10,000 1 dialect per 10,000 €™ 21 author per 10,000 21 dialect per 10,000 seemed 21 author per 10,000 5 dialect per 10,000 roon 21 author per 10,000 0 dialect per 10,000 singin 21 author per 10,000 1 dialect per 10,000 could 21 author per 10,000 12 dialect per 10,000 heid 14 author per 10,000 2 dialect per 10,000 €™ve 14 author per 10,000 1 dialect per 10,000 let 14 author per 10,000 1 dialect per 10,000 jist 14 author per 10,000 0 dialect per 10,000 now 14 author per 10,000 1 dialect per 10,000 even 14 author per 10,000 9 dialect per 10,000 sun 14 author per 10,000 2 dialect per 10,000 made 14 author per 10,000 1 dialect per 10,000 staunin 14 author per 10,000 0 dialect per 10,000 € 14 author per 10,000 3 dialect per 10,000 must 14 author per 10,000 0 dialect per 10,000 to 14 author per 10,000 14 dialect per 10,000 wisnae 14 author per 10,000 0 dialect per 10,000 dae 14 author per 10,000 1 dialect per 10,000 nicht 14 author per 10,000 2 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 0 dialect per 10,000 quite 14 author per 10,000 0 dialect per 10,000 still 14 author per 10,000 10 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 6 dialect per 10,000 far 14 author per 10,000 6 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 0 dialect per 10,000 asleep 14 author per 10,000 0 dialect per 10,000 heard 14 author per 10,000 7 dialect per 10,000 finally 14 author per 10,000 2 dialect per 10,000 feet 14 author per 10,000 4 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 41 dialect per 10,000 only 14 author per 10,000 6 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 20 dialect per 10,000 gairden 14 author per 10,000 2 dialect per 10,000 feart 14 author per 10,000 0 dialect per 10,000 would 14 author per 10,000 1 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 0 dialect per 10,000 first 14 author per 10,000 12 dialect per 10,000 than 14 author per 10,000 1 dialect per 10,000 hing 14 author per 10,000 0 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 0 dialect per 10,000 fin 14 author per 10,000 7 dialect per 10,000 noo 14 author per 10,000 20 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 1 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 2 dialect per 10,000 winter 14 author per 10,000 1 dialect per 10,000 able 14 author per 10,000 2 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 0 dialect per 10,000 warm 14 author per 10,000 1 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 2 dialect per 10,000 poor 14 author per 10,000 5 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 alane 14 author per 10,000 0 dialect per 10,000 happy 14 author per 10,000 2 dialect per 10,000 pines 14 author per 10,000 0 dialect per 10,000 hair 14 author per 10,000 2 dialect per 10,000 lassie 14 author per 10,000 0 dialect per 10,000 just 14 author per 10,000 15 dialect per 10,000 unluckiest 14 author per 10,000 0 dialect per 10,000 found 14 author per 10,000 1 dialect per 10,000 course 14 author per 10,000 0 dialect per 10,000 his 14 author per 10,000 61 dialect per 10,000 claws 14 author per 10,000 0 dialect per 10,000 side 14 author per 10,000 5 dialect per 10,000 snell 14 author per 10,000 0 dialect per 10,000 path 14 author per 10,000 0 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 caught 14 author per 10,000 0 dialect per 10,000 dug 14 author per 10,000 2 dialect per 10,000 icy 14 author per 10,000 1 dialect per 10,000 hersel 14 author per 10,000 10 dialect per 10,000 white 14 author per 10,000 5 dialect per 10,000 lost 14 author per 10,000 2 dialect per 10,000 stars 14 author per 10,000 0 dialect per 10,000 painted 14 author per 10,000 0 dialect per 10,000 metal 14 author per 10,000 0 dialect per 10,000 horrible 14 author per 10,000 0 dialect per 10,000 good 7 author per 10,000 2 dialect per 10,000 impossibly 7 author per 10,000 0 dialect per 10,000 besides 7 author per 10,000 0 dialect per 10,000 occasional 7 author per 10,000 0 dialect per 10,000 tried 7 author per 10,000 4 dialect per 10,000 whisker 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 0 dialect per 10,000 twitch 7 author per 10,000 0 dialect per 10,000 fit 7 author per 10,000 4 dialect per 10,000 snug 7 author per 10,000 0 dialect per 10,000 coats 7 author per 10,000 0 dialect per 10,000 one 7 author per 10,000 1 dialect per 10,000 maze-like 7 author per 10,000 0 dialect per 10,000 curl 7 author per 10,000 0 dialect per 10,000 nose 7 author per 10,000 1 dialect per 10,000 didnae 7 author per 10,000 0 dialect per 10,000 ignore 7 author per 10,000 0 dialect per 10,000 seat 7 author per 10,000 0 dialect per 10,000 end 7 author per 10,000 5 dialect per 10,000 company 7 author per 10,000 0 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 1 dialect per 10,000 staun 7 author per 10,000 0 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 0 dialect per 10,000 going 7 author per 10,000 0 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000
Orkney
the 737 author per 10,000 554 dialect per 10,000 and 351 author per 10,000 203 dialect per 10,000 she 336 author per 10,000 7 dialect per 10,000 wis 308 author per 10,000 89 dialect per 10,000 a 229 author per 10,000 295 dialect per 10,000 tae 200 author per 10,000 224 dialect per 10,000 her 193 author per 10,000 58 dialect per 10,000 that 165 author per 10,000 84 dialect per 10,000 in 150 author per 10,000 141 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 0 dialect per 10,000 it 107 author per 10,000 25 dialect per 10,000 ae 107 author per 10,000 1 dialect per 10,000 wee 86 author per 10,000 1 dialect per 10,000 wi 79 author per 10,000 60 dialect per 10,000 up 72 author per 10,000 26 dialect per 10,000 as 64 author per 10,000 54 dialect per 10,000 if 57 author per 10,000 15 dialect per 10,000 fae 57 author per 10,000 35 dialect per 10,000 like 57 author per 10,000 27 dialect per 10,000 €™d 50 author per 10,000 3 dialect per 10,000 this 50 author per 10,000 39 dialect per 10,000 o 50 author per 10,000 194 dialect per 10,000 fir 50 author per 10,000 7 dialect per 10,000 weans 50 author per 10,000 0 dialect per 10,000 €™s 43 author per 10,000 24 dialect per 10,000 its 43 author per 10,000 2 dialect per 10,000 be 43 author per 10,000 44 dialect per 10,000 ye 43 author per 10,000 15 dialect per 10,000 aboot 43 author per 10,000 28 dialect per 10,000 by 43 author per 10,000 15 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 35 dialect per 10,000 when 36 author per 10,000 25 dialect per 10,000 at 36 author per 10,000 56 dialect per 10,000 their 36 author per 10,000 8 dialect per 10,000 couldnae 36 author per 10,000 0 dialect per 10,000 door 36 author per 10,000 7 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 168 dialect per 10,000 been 29 author per 10,000 19 dialect per 10,000 aff 29 author per 10,000 10 dialect per 10,000 €” 29 author per 10,000 0 dialect per 10,000 wid 29 author per 10,000 21 dialect per 10,000 them 29 author per 10,000 18 dialect per 10,000 oan 29 author per 10,000 2 dialect per 10,000 or 29 author per 10,000 35 dialect per 10,000 hoose 29 author per 10,000 11 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 8 dialect per 10,000 aw 29 author per 10,000 0 dialect per 10,000 doon 29 author per 10,000 25 dialect per 10,000 twa 29 author per 10,000 11 dialect per 10,000 wind 29 author per 10,000 4 dialect per 10,000 windae 29 author per 10,000 0 dialect per 10,000 way 21 author per 10,000 1 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 1 dialect per 10,000 lang 21 author per 10,000 2 dialect per 10,000 wan 21 author per 10,000 20 dialect per 10,000 of 21 author per 10,000 7 dialect per 10,000 birds 21 author per 10,000 1 dialect per 10,000 intae 21 author per 10,000 17 dialect per 10,000 bed 21 author per 10,000 7 dialect per 10,000 clouds 21 author per 10,000 0 dialect per 10,000 how 21 author per 10,000 1 dialect per 10,000 storm 21 author per 10,000 0 dialect per 10,000 hear 21 author per 10,000 4 dialect per 10,000 thick 21 author per 10,000 0 dialect per 10,000 fur 21 author per 10,000 44 dialect per 10,000 mair 21 author per 10,000 0 dialect per 10,000 they 21 author per 10,000 35 dialect per 10,000 weather 21 author per 10,000 0 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 8 dialect per 10,000 look 21 author per 10,000 1 dialect per 10,000 behin 21 author per 10,000 0 dialect per 10,000 on 21 author per 10,000 76 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 30 dialect per 10,000 oot 21 author per 10,000 50 dialect per 10,000 see 21 author per 10,000 15 dialect per 10,000 stair 21 author per 10,000 0 dialect per 10,000 rain 21 author per 10,000 2 dialect per 10,000 €™ 21 author per 10,000 19 dialect per 10,000 seemed 21 author per 10,000 2 dialect per 10,000 roon 21 author per 10,000 3 dialect per 10,000 singin 21 author per 10,000 0 dialect per 10,000 could 21 author per 10,000 13 dialect per 10,000 heid 14 author per 10,000 6 dialect per 10,000 €™ve 14 author per 10,000 1 dialect per 10,000 let 14 author per 10,000 3 dialect per 10,000 jist 14 author per 10,000 1 dialect per 10,000 now 14 author per 10,000 1 dialect per 10,000 even 14 author per 10,000 7 dialect per 10,000 sun 14 author per 10,000 3 dialect per 10,000 made 14 author per 10,000 2 dialect per 10,000 staunin 14 author per 10,000 0 dialect per 10,000 € 14 author per 10,000 7 dialect per 10,000 must 14 author per 10,000 5 dialect per 10,000 to 14 author per 10,000 9 dialect per 10,000 wisnae 14 author per 10,000 0 dialect per 10,000 dae 14 author per 10,000 8 dialect per 10,000 nicht 14 author per 10,000 0 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 0 dialect per 10,000 quite 14 author per 10,000 3 dialect per 10,000 still 14 author per 10,000 11 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 0 dialect per 10,000 far 14 author per 10,000 4 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 0 dialect per 10,000 asleep 14 author per 10,000 1 dialect per 10,000 heard 14 author per 10,000 2 dialect per 10,000 finally 14 author per 10,000 1 dialect per 10,000 feet 14 author per 10,000 5 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 32 dialect per 10,000 only 14 author per 10,000 8 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 25 dialect per 10,000 gairden 14 author per 10,000 0 dialect per 10,000 feart 14 author per 10,000 2 dialect per 10,000 would 14 author per 10,000 1 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 0 dialect per 10,000 first 14 author per 10,000 7 dialect per 10,000 than 14 author per 10,000 14 dialect per 10,000 hing 14 author per 10,000 0 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 2 dialect per 10,000 fin 14 author per 10,000 0 dialect per 10,000 noo 14 author per 10,000 26 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 1 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 2 dialect per 10,000 winter 14 author per 10,000 2 dialect per 10,000 able 14 author per 10,000 0 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 0 dialect per 10,000 warm 14 author per 10,000 3 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 2 dialect per 10,000 poor 14 author per 10,000 7 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 alane 14 author per 10,000 0 dialect per 10,000 happy 14 author per 10,000 3 dialect per 10,000 pines 14 author per 10,000 0 dialect per 10,000 hair 14 author per 10,000 2 dialect per 10,000 lassie 14 author per 10,000 0 dialect per 10,000 just 14 author per 10,000 2 dialect per 10,000 unluckiest 14 author per 10,000 0 dialect per 10,000 found 14 author per 10,000 0 dialect per 10,000 course 14 author per 10,000 0 dialect per 10,000 his 14 author per 10,000 68 dialect per 10,000 claws 14 author per 10,000 0 dialect per 10,000 side 14 author per 10,000 4 dialect per 10,000 snell 14 author per 10,000 0 dialect per 10,000 path 14 author per 10,000 1 dialect per 10,000 loch 14 author per 10,000 1 dialect per 10,000 caught 14 author per 10,000 1 dialect per 10,000 dug 14 author per 10,000 0 dialect per 10,000 icy 14 author per 10,000 1 dialect per 10,000 hersel 14 author per 10,000 3 dialect per 10,000 white 14 author per 10,000 4 dialect per 10,000 lost 14 author per 10,000 3 dialect per 10,000 stars 14 author per 10,000 1 dialect per 10,000 painted 14 author per 10,000 0 dialect per 10,000 metal 14 author per 10,000 1 dialect per 10,000 horrible 14 author per 10,000 0 dialect per 10,000 good 7 author per 10,000 9 dialect per 10,000 impossibly 7 author per 10,000 0 dialect per 10,000 besides 7 author per 10,000 0 dialect per 10,000 occasional 7 author per 10,000 0 dialect per 10,000 tried 7 author per 10,000 2 dialect per 10,000 whisker 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000 twitch 7 author per 10,000 0 dialect per 10,000 fit 7 author per 10,000 1 dialect per 10,000 snug 7 author per 10,000 0 dialect per 10,000 coats 7 author per 10,000 0 dialect per 10,000 one 7 author per 10,000 2 dialect per 10,000 maze-like 7 author per 10,000 0 dialect per 10,000 curl 7 author per 10,000 0 dialect per 10,000 nose 7 author per 10,000 1 dialect per 10,000 didnae 7 author per 10,000 0 dialect per 10,000 ignore 7 author per 10,000 0 dialect per 10,000 seat 7 author per 10,000 0 dialect per 10,000 end 7 author per 10,000 6 dialect per 10,000 company 7 author per 10,000 1 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 0 dialect per 10,000 staun 7 author per 10,000 0 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 0 dialect per 10,000 going 7 author per 10,000 1 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000
Southern
the 737 author per 10,000 463 dialect per 10,000 and 351 author per 10,000 21 dialect per 10,000 she 336 author per 10,000 77 dialect per 10,000 wis 308 author per 10,000 57 dialect per 10,000 a 229 author per 10,000 239 dialect per 10,000 tae 200 author per 10,000 206 dialect per 10,000 her 193 author per 10,000 15 dialect per 10,000 that 165 author per 10,000 61 dialect per 10,000 in 150 author per 10,000 111 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 4 dialect per 10,000 it 107 author per 10,000 60 dialect per 10,000 ae 107 author per 10,000 63 dialect per 10,000 wee 86 author per 10,000 24 dialect per 10,000 wi 79 author per 10,000 71 dialect per 10,000 up 72 author per 10,000 41 dialect per 10,000 as 64 author per 10,000 52 dialect per 10,000 if 57 author per 10,000 16 dialect per 10,000 fae 57 author per 10,000 6 dialect per 10,000 like 57 author per 10,000 7 dialect per 10,000 €™d 50 author per 10,000 4 dialect per 10,000 this 50 author per 10,000 33 dialect per 10,000 o 50 author per 10,000 191 dialect per 10,000 fir 50 author per 10,000 12 dialect per 10,000 weans 50 author per 10,000 1 dialect per 10,000 €™s 43 author per 10,000 32 dialect per 10,000 its 43 author per 10,000 9 dialect per 10,000 be 43 author per 10,000 12 dialect per 10,000 ye 43 author per 10,000 31 dialect per 10,000 aboot 43 author per 10,000 28 dialect per 10,000 by 43 author per 10,000 7 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 39 dialect per 10,000 when 36 author per 10,000 17 dialect per 10,000 at 36 author per 10,000 70 dialect per 10,000 their 36 author per 10,000 14 dialect per 10,000 couldnae 36 author per 10,000 3 dialect per 10,000 door 36 author per 10,000 7 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 303 dialect per 10,000 been 29 author per 10,000 9 dialect per 10,000 aff 29 author per 10,000 6 dialect per 10,000 €” 29 author per 10,000 0 dialect per 10,000 wid 29 author per 10,000 3 dialect per 10,000 them 29 author per 10,000 5 dialect per 10,000 oan 29 author per 10,000 41 dialect per 10,000 or 29 author per 10,000 25 dialect per 10,000 hoose 29 author per 10,000 20 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 2 dialect per 10,000 aw 29 author per 10,000 33 dialect per 10,000 doon 29 author per 10,000 25 dialect per 10,000 twa 29 author per 10,000 3 dialect per 10,000 wind 29 author per 10,000 1 dialect per 10,000 windae 29 author per 10,000 2 dialect per 10,000 way 21 author per 10,000 1 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 1 dialect per 10,000 lang 21 author per 10,000 12 dialect per 10,000 wan 21 author per 10,000 1 dialect per 10,000 of 21 author per 10,000 11 dialect per 10,000 birds 21 author per 10,000 2 dialect per 10,000 intae 21 author per 10,000 13 dialect per 10,000 bed 21 author per 10,000 1 dialect per 10,000 clouds 21 author per 10,000 1 dialect per 10,000 how 21 author per 10,000 10 dialect per 10,000 storm 21 author per 10,000 1 dialect per 10,000 hear 21 author per 10,000 5 dialect per 10,000 thick 21 author per 10,000 0 dialect per 10,000 fur 21 author per 10,000 38 dialect per 10,000 mair 21 author per 10,000 16 dialect per 10,000 they 21 author per 10,000 36 dialect per 10,000 weather 21 author per 10,000 1 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 16 dialect per 10,000 look 21 author per 10,000 4 dialect per 10,000 behin 21 author per 10,000 0 dialect per 10,000 on 21 author per 10,000 50 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 5 dialect per 10,000 oot 21 author per 10,000 34 dialect per 10,000 see 21 author per 10,000 6 dialect per 10,000 stair 21 author per 10,000 1 dialect per 10,000 rain 21 author per 10,000 3 dialect per 10,000 €™ 21 author per 10,000 11 dialect per 10,000 seemed 21 author per 10,000 4 dialect per 10,000 roon 21 author per 10,000 3 dialect per 10,000 singin 21 author per 10,000 1 dialect per 10,000 could 21 author per 10,000 13 dialect per 10,000 heid 14 author per 10,000 15 dialect per 10,000 €™ve 14 author per 10,000 4 dialect per 10,000 let 14 author per 10,000 4 dialect per 10,000 jist 14 author per 10,000 16 dialect per 10,000 now 14 author per 10,000 1 dialect per 10,000 even 14 author per 10,000 6 dialect per 10,000 sun 14 author per 10,000 4 dialect per 10,000 made 14 author per 10,000 6 dialect per 10,000 staunin 14 author per 10,000 1 dialect per 10,000 € 14 author per 10,000 10 dialect per 10,000 must 14 author per 10,000 5 dialect per 10,000 to 14 author per 10,000 3 dialect per 10,000 wisnae 14 author per 10,000 3 dialect per 10,000 dae 14 author per 10,000 13 dialect per 10,000 nicht 14 author per 10,000 7 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 1 dialect per 10,000 quite 14 author per 10,000 2 dialect per 10,000 still 14 author per 10,000 8 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 10 dialect per 10,000 far 14 author per 10,000 2 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 2 dialect per 10,000 asleep 14 author per 10,000 1 dialect per 10,000 heard 14 author per 10,000 6 dialect per 10,000 finally 14 author per 10,000 0 dialect per 10,000 feet 14 author per 10,000 4 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 29 dialect per 10,000 only 14 author per 10,000 7 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 19 dialect per 10,000 gairden 14 author per 10,000 4 dialect per 10,000 feart 14 author per 10,000 0 dialect per 10,000 would 14 author per 10,000 11 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 0 dialect per 10,000 first 14 author per 10,000 2 dialect per 10,000 than 14 author per 10,000 8 dialect per 10,000 hing 14 author per 10,000 8 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 1 dialect per 10,000 fin 14 author per 10,000 1 dialect per 10,000 noo 14 author per 10,000 13 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 1 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 1 dialect per 10,000 winter 14 author per 10,000 2 dialect per 10,000 able 14 author per 10,000 1 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 0 dialect per 10,000 warm 14 author per 10,000 1 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 2 dialect per 10,000 poor 14 author per 10,000 0 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 alane 14 author per 10,000 1 dialect per 10,000 happy 14 author per 10,000 1 dialect per 10,000 pines 14 author per 10,000 0 dialect per 10,000 hair 14 author per 10,000 2 dialect per 10,000 lassie 14 author per 10,000 3 dialect per 10,000 just 14 author per 10,000 2 dialect per 10,000 unluckiest 14 author per 10,000 0 dialect per 10,000 found 14 author per 10,000 0 dialect per 10,000 course 14 author per 10,000 4 dialect per 10,000 his 14 author per 10,000 38 dialect per 10,000 claws 14 author per 10,000 0 dialect per 10,000 side 14 author per 10,000 7 dialect per 10,000 snell 14 author per 10,000 1 dialect per 10,000 path 14 author per 10,000 0 dialect per 10,000 loch 14 author per 10,000 4 dialect per 10,000 caught 14 author per 10,000 1 dialect per 10,000 dug 14 author per 10,000 1 dialect per 10,000 icy 14 author per 10,000 0 dialect per 10,000 hersel 14 author per 10,000 11 dialect per 10,000 white 14 author per 10,000 7 dialect per 10,000 lost 14 author per 10,000 1 dialect per 10,000 stars 14 author per 10,000 1 dialect per 10,000 painted 14 author per 10,000 0 dialect per 10,000 metal 14 author per 10,000 0 dialect per 10,000 horrible 14 author per 10,000 0 dialect per 10,000 good 7 author per 10,000 1 dialect per 10,000 impossibly 7 author per 10,000 0 dialect per 10,000 besides 7 author per 10,000 0 dialect per 10,000 occasional 7 author per 10,000 0 dialect per 10,000 tried 7 author per 10,000 3 dialect per 10,000 whisker 7 author per 10,000 0 dialect per 10,000 grey 7 author per 10,000 1 dialect per 10,000 twitch 7 author per 10,000 0 dialect per 10,000 fit 7 author per 10,000 5 dialect per 10,000 snug 7 author per 10,000 0 dialect per 10,000 coats 7 author per 10,000 0 dialect per 10,000 one 7 author per 10,000 1 dialect per 10,000 maze-like 7 author per 10,000 0 dialect per 10,000 curl 7 author per 10,000 0 dialect per 10,000 nose 7 author per 10,000 1 dialect per 10,000 didnae 7 author per 10,000 5 dialect per 10,000 ignore 7 author per 10,000 0 dialect per 10,000 seat 7 author per 10,000 0 dialect per 10,000 end 7 author per 10,000 6 dialect per 10,000 company 7 author per 10,000 1 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 0 dialect per 10,000 staun 7 author per 10,000 1 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 0 dialect per 10,000 going 7 author per 10,000 0 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000
Ulster
the 737 author per 10,000 209 dialect per 10,000 and 351 author per 10,000 6 dialect per 10,000 she 336 author per 10,000 16 dialect per 10,000 wis 308 author per 10,000 1 dialect per 10,000 a 229 author per 10,000 292 dialect per 10,000 tae 200 author per 10,000 252 dialect per 10,000 her 193 author per 10,000 8 dialect per 10,000 that 165 author per 10,000 81 dialect per 10,000 in 150 author per 10,000 102 dialect per 10,000 hazel 129 author per 10,000 0 dialect per 10,000 hud 129 author per 10,000 0 dialect per 10,000 it 107 author per 10,000 78 dialect per 10,000 ae 107 author per 10,000 0 dialect per 10,000 wee 86 author per 10,000 26 dialect per 10,000 wi 79 author per 10,000 74 dialect per 10,000 up 72 author per 10,000 36 dialect per 10,000 as 64 author per 10,000 30 dialect per 10,000 if 57 author per 10,000 15 dialect per 10,000 fae 57 author per 10,000 10 dialect per 10,000 like 57 author per 10,000 10 dialect per 10,000 €™d 50 author per 10,000 2 dialect per 10,000 this 50 author per 10,000 29 dialect per 10,000 o 50 author per 10,000 249 dialect per 10,000 fir 50 author per 10,000 3 dialect per 10,000 weans 50 author per 10,000 8 dialect per 10,000 €™s 43 author per 10,000 14 dialect per 10,000 its 43 author per 10,000 9 dialect per 10,000 be 43 author per 10,000 47 dialect per 10,000 ye 43 author per 10,000 86 dialect per 10,000 aboot 43 author per 10,000 30 dialect per 10,000 by 43 author per 10,000 9 dialect per 10,000 lady 36 author per 10,000 0 dialect per 10,000 but 36 author per 10,000 49 dialect per 10,000 when 36 author per 10,000 2 dialect per 10,000 at 36 author per 10,000 45 dialect per 10,000 their 36 author per 10,000 6 dialect per 10,000 couldnae 36 author per 10,000 0 dialect per 10,000 door 36 author per 10,000 0 dialect per 10,000 nessie 36 author per 10,000 0 dialect per 10,000 an 36 author per 10,000 413 dialect per 10,000 been 29 author per 10,000 1 dialect per 10,000 aff 29 author per 10,000 17 dialect per 10,000 €” 29 author per 10,000 2 dialect per 10,000 wid 29 author per 10,000 1 dialect per 10,000 them 29 author per 10,000 6 dialect per 10,000 oan 29 author per 10,000 13 dialect per 10,000 or 29 author per 10,000 43 dialect per 10,000 hoose 29 author per 10,000 16 dialect per 10,000 anyhin 29 author per 10,000 0 dialect per 10,000 through 29 author per 10,000 3 dialect per 10,000 aw 29 author per 10,000 2 dialect per 10,000 doon 29 author per 10,000 33 dialect per 10,000 twa 29 author per 10,000 12 dialect per 10,000 wind 29 author per 10,000 0 dialect per 10,000 windae 29 author per 10,000 0 dialect per 10,000 way 21 author per 10,000 1 dialect per 10,000 birk 21 author per 10,000 0 dialect per 10,000 broken 21 author per 10,000 0 dialect per 10,000 lang 21 author per 10,000 13 dialect per 10,000 wan 21 author per 10,000 0 dialect per 10,000 of 21 author per 10,000 2 dialect per 10,000 birds 21 author per 10,000 0 dialect per 10,000 intae 21 author per 10,000 11 dialect per 10,000 bed 21 author per 10,000 2 dialect per 10,000 clouds 21 author per 10,000 0 dialect per 10,000 how 21 author per 10,000 0 dialect per 10,000 storm 21 author per 10,000 0 dialect per 10,000 hear 21 author per 10,000 5 dialect per 10,000 thick 21 author per 10,000 0 dialect per 10,000 fur 21 author per 10,000 51 dialect per 10,000 mair 21 author per 10,000 27 dialect per 10,000 they 21 author per 10,000 24 dialect per 10,000 weather 21 author per 10,000 0 dialect per 10,000 upstair 21 author per 10,000 0 dialect per 10,000 were 21 author per 10,000 4 dialect per 10,000 look 21 author per 10,000 0 dialect per 10,000 behin 21 author per 10,000 2 dialect per 10,000 on 21 author per 10,000 66 dialect per 10,000 drip 21 author per 10,000 0 dialect per 10,000 wir 21 author per 10,000 1 dialect per 10,000 oot 21 author per 10,000 56 dialect per 10,000 see 21 author per 10,000 18 dialect per 10,000 stair 21 author per 10,000 0 dialect per 10,000 rain 21 author per 10,000 1 dialect per 10,000 €™ 21 author per 10,000 17 dialect per 10,000 seemed 21 author per 10,000 0 dialect per 10,000 roon 21 author per 10,000 13 dialect per 10,000 singin 21 author per 10,000 0 dialect per 10,000 could 21 author per 10,000 1 dialect per 10,000 heid 14 author per 10,000 15 dialect per 10,000 €™ve 14 author per 10,000 0 dialect per 10,000 let 14 author per 10,000 6 dialect per 10,000 jist 14 author per 10,000 11 dialect per 10,000 now 14 author per 10,000 0 dialect per 10,000 even 14 author per 10,000 4 dialect per 10,000 sun 14 author per 10,000 1 dialect per 10,000 made 14 author per 10,000 7 dialect per 10,000 staunin 14 author per 10,000 0 dialect per 10,000 € 14 author per 10,000 5 dialect per 10,000 must 14 author per 10,000 2 dialect per 10,000 to 14 author per 10,000 2 dialect per 10,000 wisnae 14 author per 10,000 0 dialect per 10,000 dae 14 author per 10,000 27 dialect per 10,000 nicht 14 author per 10,000 7 dialect per 10,000 hazels 14 author per 10,000 0 dialect per 10,000 flair 14 author per 10,000 0 dialect per 10,000 quite 14 author per 10,000 1 dialect per 10,000 still 14 author per 10,000 5 dialect per 10,000 dozin 14 author per 10,000 0 dialect per 10,000 ain 14 author per 10,000 13 dialect per 10,000 far 14 author per 10,000 5 dialect per 10,000 scattered 14 author per 10,000 0 dialect per 10,000 opened 14 author per 10,000 0 dialect per 10,000 asleep 14 author per 10,000 0 dialect per 10,000 heard 14 author per 10,000 0 dialect per 10,000 finally 14 author per 10,000 0 dialect per 10,000 feet 14 author per 10,000 4 dialect per 10,000 wrapped 14 author per 10,000 0 dialect per 10,000 whit 14 author per 10,000 2 dialect per 10,000 only 14 author per 10,000 4 dialect per 10,000 nan 14 author per 10,000 0 dialect per 10,000 back 14 author per 10,000 2 dialect per 10,000 gairden 14 author per 10,000 1 dialect per 10,000 feart 14 author per 10,000 3 dialect per 10,000 would 14 author per 10,000 1 dialect per 10,000 portraits 14 author per 10,000 0 dialect per 10,000 windaes 14 author per 10,000 0 dialect per 10,000 first 14 author per 10,000 1 dialect per 10,000 than 14 author per 10,000 3 dialect per 10,000 hing 14 author per 10,000 0 dialect per 10,000 louder 14 author per 10,000 0 dialect per 10,000 aroon 14 author per 10,000 2 dialect per 10,000 fin 14 author per 10,000 6 dialect per 10,000 noo 14 author per 10,000 25 dialect per 10,000 pranced 14 author per 10,000 0 dialect per 10,000 forgotten 14 author per 10,000 0 dialect per 10,000 tore 14 author per 10,000 0 dialect per 10,000 sent 14 author per 10,000 4 dialect per 10,000 winter 14 author per 10,000 0 dialect per 10,000 able 14 author per 10,000 1 dialect per 10,000 €™er 14 author per 10,000 0 dialect per 10,000 those 14 author per 10,000 0 dialect per 10,000 warm 14 author per 10,000 0 dialect per 10,000 humming 14 author per 10,000 0 dialect per 10,000 mad 14 author per 10,000 1 dialect per 10,000 poor 14 author per 10,000 1 dialect per 10,000 halls 14 author per 10,000 0 dialect per 10,000 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dialect per 10,000 seat 7 author per 10,000 0 dialect per 10,000 end 7 author per 10,000 0 dialect per 10,000 company 7 author per 10,000 0 dialect per 10,000 ringin 7 author per 10,000 0 dialect per 10,000 thought 7 author per 10,000 1 dialect per 10,000 staun 7 author per 10,000 0 dialect per 10,000 antlers 7 author per 10,000 0 dialect per 10,000 stay 7 author per 10,000 0 dialect per 10,000 going 7 author per 10,000 0 dialect per 10,000 doonstair 7 author per 10,000 0 dialect per 10,000 lanely 7 author per 10,000 0 dialect per 10,000