A Corpus of 21st Century Scots Texts

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Petrie, Kimberley


Total words by this author in corpus - 269
Total unique words used by this author in corpus - 166
Ratio of total words to unique words - 1.62
Top ten most common words - yer, ye, a, ye'll, an, the, tae, in, o, nae,

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
yer 520 author per 10,000 20 dialect per 10,000 ye 335 author per 10,000 62 dialect per 10,000 a 335 author per 10,000 266 dialect per 10,000 ye'll 335 author per 10,000 2 dialect per 10,000 an 297 author per 10,000 224 dialect per 10,000 the 223 author per 10,000 565 dialect per 10,000 tae 223 author per 10,000 211 dialect per 10,000 in 223 author per 10,000 147 dialect per 10,000 o 223 author per 10,000 183 dialect per 10,000 nae 149 author per 10,000 24 dialect per 10,000 fae 149 author per 10,000 26 dialect per 10,000 fan 149 author per 10,000 0 dialect per 10,000 be 149 author per 10,000 48 dialect per 10,000 aat 112 author per 10,000 0 dialect per 10,000 bit 112 author per 10,000 17 dialect per 10,000 stop 112 author per 10,000 1 dialect per 10,000 gan 112 author per 10,000 1 dialect per 10,000 ower 74 author per 10,000 19 dialect per 10,000 is 74 author per 10,000 58 dialect per 10,000 at 74 author per 10,000 59 dialect per 10,000 ma 74 author per 10,000 52 dialect per 10,000 come 74 author per 10,000 9 dialect per 10,000 fowk 74 author per 10,000 12 dialect per 10,000 disnae 74 author per 10,000 2 dialect per 10,000 micht 74 author per 10,000 7 dialect per 10,000 it 74 author per 10,000 116 dialect per 10,000 oot 74 author per 10,000 40 dialect per 10,000 yersel 74 author per 10,000 3 dialect per 10,000 aa 74 author per 10,000 14 dialect per 10,000 hae 74 author per 10,000 22 dialect per 10,000 believe 74 author per 10,000 2 dialect per 10,000 like 74 author per 10,000 29 dialect per 10,000 life 74 author per 10,000 7 dialect per 10,000 fur 74 author per 10,000 23 dialect per 10,000 fin 74 author per 10,000 1 dialect per 10,000 aboot 74 author per 10,000 29 dialect per 10,000 da 37 author per 10,000 3 dialect per 10,000 mean 37 author per 10,000 3 dialect per 10,000 this 37 author per 10,000 41 dialect per 10,000 likes 37 author per 10,000 2 dialect per 10,000 me 37 author per 10,000 40 dialect per 10,000 i 37 author per 10,000 40 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 2 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 1 dialect per 10,000 thinkin 37 author per 10,000 2 dialect per 10,000 and 37 author per 10,000 94 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 1 dialect per 10,000 wi 37 author per 10,000 67 dialect per 10,000 dubs 37 author per 10,000 0 dialect per 10,000 waakin 37 author per 10,000 0 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 dug 37 author per 10,000 2 dialect per 10,000 still 37 author per 10,000 8 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 2 dialect per 10,000 fact 37 author per 10,000 2 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 3 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 1 dialect per 10,000 dreams 37 author per 10,000 1 dialect per 10,000 maist 37 author per 10,000 8 dialect per 10,000 intae 37 author per 10,000 18 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 2 dialect per 10,000 feart 37 author per 10,000 2 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 2 dialect per 10,000 nivver 37 author per 10,000 2 dialect per 10,000 kint 37 author per 10,000 0 dialect per 10,000 peace 37 author per 10,000 1 dialect per 10,000 hert 37 author per 10,000 3 dialect per 10,000 quine 37 author per 10,000 0 dialect per 10,000 full 37 author per 10,000 1 dialect per 10,000 aathing 37 author per 10,000 0 dialect per 10,000 by 37 author per 10,000 17 dialect per 10,000 fit 37 author per 10,000 2 dialect per 10,000 beauty 37 author per 10,000 0 dialect per 10,000 lies 37 author per 10,000 0 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 1 dialect per 10,000 barley 37 author per 10,000 0 dialect per 10,000 icy 37 author per 10,000 0 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 4 dialect per 10,000 let 37 author per 10,000 4 dialect per 10,000 fecht 37 author per 10,000 1 dialect per 10,000 aneth 37 author per 10,000 0 dialect per 10,000 dinna 37 author per 10,000 4 dialect per 10,000 gowden 37 author per 10,000 1 dialect per 10,000 gin 37 author per 10,000 7 dialect per 10,000 neck 37 author per 10,000 1 dialect per 10,000 for 37 author per 10,000 47 dialect per 10,000 poke 37 author per 10,000 0 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 3 dialect per 10,000 changed 37 author per 10,000 0 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 0 dialect per 10,000 cheese 37 author per 10,000 0 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 6 dialect per 10,000 how 37 author per 10,000 6 dialect per 10,000 may 37 author per 10,000 1 dialect per 10,000 fine 37 author per 10,000 3 dialect per 10,000 his 37 author per 10,000 58 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 0 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 1 dialect per 10,000 thocht 37 author per 10,000 8 dialect per 10,000 gettin 37 author per 10,000 4 dialect per 10,000 ilka 37 author per 10,000 4 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 20 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 1 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 0 dialect per 10,000 wear 37 author per 10,000 0 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 6 dialect per 10,000 windae 37 author per 10,000 2 dialect per 10,000 sea 37 author per 10,000 2 dialect per 10,000 bi 37 author per 10,000 11 dialect per 10,000 wee 37 author per 10,000 30 dialect per 10,000 hoosie 37 author per 10,000 0 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 1 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 3 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 20 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 1 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 106 dialect per 10,000 are 37 author per 10,000 17 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 9 dialect per 10,000 mare 37 author per 10,000 1 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 0 dialect per 10,000 winna 37 author per 10,000 1 dialect per 10,000 years 37 author per 10,000 4 dialect per 10,000 noo 37 author per 10,000 14 dialect per 10,000 few 37 author per 10,000 3 dialect per 10,000 tell 37 author per 10,000 8 dialect per 10,000 ye're 37 author per 10,000 3 dialect per 10,000 forty 37 author per 10,000 0 dialect per 10,000 beasts 37 author per 10,000 1 dialect per 10,000
Doric
yer 520 author per 10,000 36 dialect per 10,000 ye 335 author per 10,000 94 dialect per 10,000 a 335 author per 10,000 315 dialect per 10,000 ye'll 335 author per 10,000 6 dialect per 10,000 an 297 author per 10,000 303 dialect per 10,000 the 223 author per 10,000 451 dialect per 10,000 tae 223 author per 10,000 172 dialect per 10,000 in 223 author per 10,000 131 dialect per 10,000 o 223 author per 10,000 175 dialect per 10,000 nae 149 author per 10,000 51 dialect per 10,000 fae 149 author per 10,000 30 dialect per 10,000 fan 149 author per 10,000 17 dialect per 10,000 be 149 author per 10,000 45 dialect per 10,000 aat 112 author per 10,000 12 dialect per 10,000 bit 112 author per 10,000 43 dialect per 10,000 stop 112 author per 10,000 2 dialect per 10,000 gan 112 author per 10,000 5 dialect per 10,000 ower 74 author per 10,000 30 dialect per 10,000 is 74 author per 10,000 39 dialect per 10,000 at 74 author per 10,000 67 dialect per 10,000 ma 74 author per 10,000 49 dialect per 10,000 come 74 author per 10,000 13 dialect per 10,000 fowk 74 author per 10,000 12 dialect per 10,000 disnae 74 author per 10,000 1 dialect per 10,000 micht 74 author per 10,000 6 dialect per 10,000 it 74 author per 10,000 99 dialect per 10,000 oot 74 author per 10,000 50 dialect per 10,000 yersel 74 author per 10,000 4 dialect per 10,000 aa 74 author per 10,000 43 dialect per 10,000 hae 74 author per 10,000 20 dialect per 10,000 believe 74 author per 10,000 2 dialect per 10,000 like 74 author per 10,000 37 dialect per 10,000 life 74 author per 10,000 6 dialect per 10,000 fur 74 author per 10,000 18 dialect per 10,000 fin 74 author per 10,000 19 dialect per 10,000 aboot 74 author per 10,000 33 dialect per 10,000 da 37 author per 10,000 3 dialect per 10,000 mean 37 author per 10,000 2 dialect per 10,000 this 37 author per 10,000 19 dialect per 10,000 likes 37 author per 10,000 1 dialect per 10,000 me 37 author per 10,000 32 dialect per 10,000 i 37 author per 10,000 68 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 1 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 0 dialect per 10,000 thinkin 37 author per 10,000 2 dialect per 10,000 and 37 author per 10,000 42 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 1 dialect per 10,000 wi 37 author per 10,000 77 dialect per 10,000 dubs 37 author per 10,000 1 dialect per 10,000 waakin 37 author per 10,000 0 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 dug 37 author per 10,000 1 dialect per 10,000 still 37 author per 10,000 6 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 2 dialect per 10,000 fact 37 author per 10,000 1 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 7 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 0 dialect per 10,000 dreams 37 author per 10,000 0 dialect per 10,000 maist 37 author per 10,000 4 dialect per 10,000 intae 37 author per 10,000 10 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 2 dialect per 10,000 feart 37 author per 10,000 2 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 4 dialect per 10,000 nivver 37 author per 10,000 7 dialect per 10,000 kint 37 author per 10,000 1 dialect per 10,000 peace 37 author per 10,000 1 dialect per 10,000 hert 37 author per 10,000 1 dialect per 10,000 quine 37 author per 10,000 6 dialect per 10,000 full 37 author per 10,000 2 dialect per 10,000 aathing 37 author per 10,000 1 dialect per 10,000 by 37 author per 10,000 9 dialect per 10,000 fit 37 author per 10,000 40 dialect per 10,000 beauty 37 author per 10,000 0 dialect per 10,000 lies 37 author per 10,000 0 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 0 dialect per 10,000 barley 37 author per 10,000 0 dialect per 10,000 icy 37 author per 10,000 0 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 1 dialect per 10,000 let 37 author per 10,000 5 dialect per 10,000 fecht 37 author per 10,000 1 dialect per 10,000 aneth 37 author per 10,000 3 dialect per 10,000 dinna 37 author per 10,000 16 dialect per 10,000 gowden 37 author per 10,000 0 dialect per 10,000 gin 37 author per 10,000 8 dialect per 10,000 neck 37 author per 10,000 1 dialect per 10,000 for 37 author per 10,000 46 dialect per 10,000 poke 37 author per 10,000 0 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 6 dialect per 10,000 changed 37 author per 10,000 0 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 0 dialect per 10,000 cheese 37 author per 10,000 1 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 2 dialect per 10,000 how 37 author per 10,000 2 dialect per 10,000 may 37 author per 10,000 1 dialect per 10,000 fine 37 author per 10,000 11 dialect per 10,000 his 37 author per 10,000 69 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 1 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 3 dialect per 10,000 thocht 37 author per 10,000 14 dialect per 10,000 gettin 37 author per 10,000 4 dialect per 10,000 ilka 37 author per 10,000 2 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 36 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 1 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 7 dialect per 10,000 wear 37 author per 10,000 0 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 7 dialect per 10,000 windae 37 author per 10,000 2 dialect per 10,000 sea 37 author per 10,000 4 dialect per 10,000 bi 37 author per 10,000 15 dialect per 10,000 wee 37 author per 10,000 18 dialect per 10,000 hoosie 37 author per 10,000 1 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 1 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 3 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 17 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 1 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 53 dialect per 10,000 are 37 author per 10,000 14 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 1 dialect per 10,000 mare 37 author per 10,000 0 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 0 dialect per 10,000 winna 37 author per 10,000 4 dialect per 10,000 years 37 author per 10,000 3 dialect per 10,000 noo 37 author per 10,000 24 dialect per 10,000 few 37 author per 10,000 1 dialect per 10,000 tell 37 author per 10,000 9 dialect per 10,000 ye're 37 author per 10,000 6 dialect per 10,000 forty 37 author per 10,000 0 dialect per 10,000 beasts 37 author per 10,000 1 dialect per 10,000
Shetland
yer 520 author per 10,000 0 dialect per 10,000 ye 335 author per 10,000 0 dialect per 10,000 a 335 author per 10,000 280 dialect per 10,000 ye'll 335 author per 10,000 0 dialect per 10,000 an 297 author per 10,000 330 dialect per 10,000 the 223 author per 10,000 18 dialect per 10,000 tae 223 author per 10,000 86 dialect per 10,000 in 223 author per 10,000 105 dialect per 10,000 o 223 author per 10,000 177 dialect per 10,000 nae 149 author per 10,000 23 dialect per 10,000 fae 149 author per 10,000 40 dialect per 10,000 fan 149 author per 10,000 6 dialect per 10,000 be 149 author per 10,000 56 dialect per 10,000 aat 112 author per 10,000 0 dialect per 10,000 bit 112 author per 10,000 38 dialect per 10,000 stop 112 author per 10,000 2 dialect per 10,000 gan 112 author per 10,000 0 dialect per 10,000 ower 74 author per 10,000 24 dialect per 10,000 is 74 author per 10,000 81 dialect per 10,000 at 74 author per 10,000 112 dialect per 10,000 ma 74 author per 10,000 0 dialect per 10,000 come 74 author per 10,000 19 dialect per 10,000 fowk 74 author per 10,000 0 dialect per 10,000 disnae 74 author per 10,000 0 dialect per 10,000 micht 74 author per 10,000 4 dialect per 10,000 it 74 author per 10,000 58 dialect per 10,000 oot 74 author per 10,000 42 dialect per 10,000 yersel 74 author per 10,000 0 dialect per 10,000 aa 74 author per 10,000 51 dialect per 10,000 hae 74 author per 10,000 25 dialect per 10,000 believe 74 author per 10,000 2 dialect per 10,000 like 74 author per 10,000 2 dialect per 10,000 life 74 author per 10,000 7 dialect per 10,000 fur 74 author per 10,000 32 dialect per 10,000 fin 74 author per 10,000 7 dialect per 10,000 aboot 74 author per 10,000 41 dialect per 10,000 da 37 author per 10,000 546 dialect per 10,000 mean 37 author per 10,000 2 dialect per 10,000 this 37 author per 10,000 1 dialect per 10,000 likes 37 author per 10,000 0 dialect per 10,000 me 37 author per 10,000 41 dialect per 10,000 i 37 author per 10,000 143 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 0 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 0 dialect per 10,000 thinkin 37 author per 10,000 0 dialect per 10,000 and 37 author per 10,000 15 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 2 dialect per 10,000 wi 37 author per 10,000 95 dialect per 10,000 dubs 37 author per 10,000 0 dialect per 10,000 waakin 37 author per 10,000 0 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 3 dialect per 10,000 dug 37 author per 10,000 2 dialect per 10,000 still 37 author per 10,000 9 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 1 dialect per 10,000 fact 37 author per 10,000 1 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 2 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 0 dialect per 10,000 dreams 37 author per 10,000 0 dialect per 10,000 maist 37 author per 10,000 4 dialect per 10,000 intae 37 author per 10,000 8 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 1 dialect per 10,000 feart 37 author per 10,000 0 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 0 dialect per 10,000 nivver 37 author per 10,000 7 dialect per 10,000 kint 37 author per 10,000 0 dialect per 10,000 peace 37 author per 10,000 0 dialect per 10,000 hert 37 author per 10,000 3 dialect per 10,000 quine 37 author per 10,000 0 dialect per 10,000 full 37 author per 10,000 1 dialect per 10,000 aathing 37 author per 10,000 3 dialect per 10,000 by 37 author per 10,000 7 dialect per 10,000 fit 37 author per 10,000 4 dialect per 10,000 beauty 37 author per 10,000 1 dialect per 10,000 lies 37 author per 10,000 0 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 0 dialect per 10,000 barley 37 author per 10,000 0 dialect per 10,000 icy 37 author per 10,000 1 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 4 dialect per 10,000 let 37 author per 10,000 1 dialect per 10,000 fecht 37 author per 10,000 1 dialect per 10,000 aneth 37 author per 10,000 0 dialect per 10,000 dinna 37 author per 10,000 0 dialect per 10,000 gowden 37 author per 10,000 0 dialect per 10,000 gin 37 author per 10,000 0 dialect per 10,000 neck 37 author per 10,000 1 dialect per 10,000 for 37 author per 10,000 35 dialect per 10,000 poke 37 author per 10,000 0 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 2 dialect per 10,000 changed 37 author per 10,000 0 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 0 dialect per 10,000 cheese 37 author per 10,000 0 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 5 dialect per 10,000 how 37 author per 10,000 1 dialect per 10,000 may 37 author per 10,000 1 dialect per 10,000 fine 37 author per 10,000 7 dialect per 10,000 his 37 author per 10,000 52 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 0 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 2 dialect per 10,000 thocht 37 author per 10,000 0 dialect per 10,000 gettin 37 author per 10,000 2 dialect per 10,000 ilka 37 author per 10,000 0 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 0 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 1 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 0 dialect per 10,000 wear 37 author per 10,000 0 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 6 dialect per 10,000 windae 37 author per 10,000 0 dialect per 10,000 sea 37 author per 10,000 6 dialect per 10,000 bi 37 author per 10,000 10 dialect per 10,000 wee 37 author per 10,000 0 dialect per 10,000 hoosie 37 author per 10,000 0 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 1 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 4 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 19 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 3 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 4 dialect per 10,000 are 37 author per 10,000 2 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 0 dialect per 10,000 mare 37 author per 10,000 0 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 0 dialect per 10,000 winna 37 author per 10,000 1 dialect per 10,000 years 37 author per 10,000 4 dialect per 10,000 noo 37 author per 10,000 19 dialect per 10,000 few 37 author per 10,000 1 dialect per 10,000 tell 37 author per 10,000 8 dialect per 10,000 ye're 37 author per 10,000 0 dialect per 10,000 forty 37 author per 10,000 0 dialect per 10,000 beasts 37 author per 10,000 0 dialect per 10,000
Orkney
yer 520 author per 10,000 7 dialect per 10,000 ye 335 author per 10,000 17 dialect per 10,000 a 335 author per 10,000 298 dialect per 10,000 ye'll 335 author per 10,000 1 dialect per 10,000 an 297 author per 10,000 172 dialect per 10,000 the 223 author per 10,000 582 dialect per 10,000 tae 223 author per 10,000 223 dialect per 10,000 in 223 author per 10,000 146 dialect per 10,000 o 223 author per 10,000 202 dialect per 10,000 nae 149 author per 10,000 3 dialect per 10,000 fae 149 author per 10,000 39 dialect per 10,000 fan 149 author per 10,000 0 dialect per 10,000 be 149 author per 10,000 42 dialect per 10,000 aat 112 author per 10,000 0 dialect per 10,000 bit 112 author per 10,000 48 dialect per 10,000 stop 112 author per 10,000 2 dialect per 10,000 gan 112 author per 10,000 2 dialect per 10,000 ower 74 author per 10,000 18 dialect per 10,000 is 74 author per 10,000 71 dialect per 10,000 at 74 author per 10,000 54 dialect per 10,000 ma 74 author per 10,000 1 dialect per 10,000 come 74 author per 10,000 11 dialect per 10,000 fowk 74 author per 10,000 0 dialect per 10,000 disnae 74 author per 10,000 0 dialect per 10,000 micht 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 23 dialect per 10,000 oot 74 author per 10,000 50 dialect per 10,000 yersel 74 author per 10,000 1 dialect per 10,000 aa 74 author per 10,000 8 dialect per 10,000 hae 74 author per 10,000 11 dialect per 10,000 believe 74 author per 10,000 1 dialect per 10,000 like 74 author per 10,000 31 dialect per 10,000 life 74 author per 10,000 7 dialect per 10,000 fur 74 author per 10,000 49 dialect per 10,000 fin 74 author per 10,000 0 dialect per 10,000 aboot 74 author per 10,000 26 dialect per 10,000 da 37 author per 10,000 0 dialect per 10,000 mean 37 author per 10,000 2 dialect per 10,000 this 37 author per 10,000 34 dialect per 10,000 likes 37 author per 10,000 1 dialect per 10,000 me 37 author per 10,000 115 dialect per 10,000 i 37 author per 10,000 158 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 0 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 0 dialect per 10,000 thinkin 37 author per 10,000 0 dialect per 10,000 and 37 author per 10,000 199 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 0 dialect per 10,000 wi 37 author per 10,000 46 dialect per 10,000 dubs 37 author per 10,000 0 dialect per 10,000 waakin 37 author per 10,000 0 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 1 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 dug 37 author per 10,000 0 dialect per 10,000 still 37 author per 10,000 12 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 4 dialect per 10,000 fact 37 author per 10,000 1 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 5 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 0 dialect per 10,000 dreams 37 author per 10,000 1 dialect per 10,000 maist 37 author per 10,000 1 dialect per 10,000 intae 37 author per 10,000 18 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 3 dialect per 10,000 feart 37 author per 10,000 1 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 0 dialect per 10,000 nivver 37 author per 10,000 8 dialect per 10,000 kint 37 author per 10,000 0 dialect per 10,000 peace 37 author per 10,000 1 dialect per 10,000 hert 37 author per 10,000 5 dialect per 10,000 quine 37 author per 10,000 0 dialect per 10,000 full 37 author per 10,000 2 dialect per 10,000 aathing 37 author per 10,000 0 dialect per 10,000 by 37 author per 10,000 16 dialect per 10,000 fit 37 author per 10,000 1 dialect per 10,000 beauty 37 author per 10,000 1 dialect per 10,000 lies 37 author per 10,000 1 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 3 dialect per 10,000 barley 37 author per 10,000 1 dialect per 10,000 icy 37 author per 10,000 1 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 3 dialect per 10,000 let 37 author per 10,000 3 dialect per 10,000 fecht 37 author per 10,000 0 dialect per 10,000 aneth 37 author per 10,000 0 dialect per 10,000 dinna 37 author per 10,000 4 dialect per 10,000 gowden 37 author per 10,000 0 dialect per 10,000 gin 37 author per 10,000 1 dialect per 10,000 neck 37 author per 10,000 2 dialect per 10,000 for 37 author per 10,000 26 dialect per 10,000 poke 37 author per 10,000 1 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 5 dialect per 10,000 changed 37 author per 10,000 1 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 1 dialect per 10,000 cheese 37 author per 10,000 1 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 5 dialect per 10,000 how 37 author per 10,000 1 dialect per 10,000 may 37 author per 10,000 1 dialect per 10,000 fine 37 author per 10,000 7 dialect per 10,000 his 37 author per 10,000 61 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 1 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 2 dialect per 10,000 thocht 37 author per 10,000 0 dialect per 10,000 gettin 37 author per 10,000 0 dialect per 10,000 ilka 37 author per 10,000 0 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 3 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 2 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 0 dialect per 10,000 wear 37 author per 10,000 1 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 1 dialect per 10,000 windae 37 author per 10,000 0 dialect per 10,000 sea 37 author per 10,000 8 dialect per 10,000 bi 37 author per 10,000 8 dialect per 10,000 wee 37 author per 10,000 1 dialect per 10,000 hoosie 37 author per 10,000 0 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 2 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 0 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 1 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 0 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 75 dialect per 10,000 are 37 author per 10,000 14 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 44 dialect per 10,000 mare 37 author per 10,000 0 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 1 dialect per 10,000 winna 37 author per 10,000 0 dialect per 10,000 years 37 author per 10,000 2 dialect per 10,000 noo 37 author per 10,000 27 dialect per 10,000 few 37 author per 10,000 2 dialect per 10,000 tell 37 author per 10,000 6 dialect per 10,000 ye're 37 author per 10,000 0 dialect per 10,000 forty 37 author per 10,000 1 dialect per 10,000 beasts 37 author per 10,000 0 dialect per 10,000
Southern
yer 520 author per 10,000 17 dialect per 10,000 ye 335 author per 10,000 21 dialect per 10,000 a 335 author per 10,000 230 dialect per 10,000 ye'll 335 author per 10,000 1 dialect per 10,000 an 297 author per 10,000 289 dialect per 10,000 the 223 author per 10,000 449 dialect per 10,000 tae 223 author per 10,000 206 dialect per 10,000 in 223 author per 10,000 107 dialect per 10,000 o 223 author per 10,000 200 dialect per 10,000 nae 149 author per 10,000 25 dialect per 10,000 fae 149 author per 10,000 0 dialect per 10,000 fan 149 author per 10,000 2 dialect per 10,000 be 149 author per 10,000 13 dialect per 10,000 aat 112 author per 10,000 0 dialect per 10,000 bit 112 author per 10,000 14 dialect per 10,000 stop 112 author per 10,000 1 dialect per 10,000 gan 112 author per 10,000 2 dialect per 10,000 ower 74 author per 10,000 13 dialect per 10,000 is 74 author per 10,000 62 dialect per 10,000 at 74 author per 10,000 69 dialect per 10,000 ma 74 author per 10,000 59 dialect per 10,000 come 74 author per 10,000 9 dialect per 10,000 fowk 74 author per 10,000 4 dialect per 10,000 disnae 74 author per 10,000 2 dialect per 10,000 micht 74 author per 10,000 9 dialect per 10,000 it 74 author per 10,000 63 dialect per 10,000 oot 74 author per 10,000 34 dialect per 10,000 yersel 74 author per 10,000 2 dialect per 10,000 aa 74 author per 10,000 10 dialect per 10,000 hae 74 author per 10,000 35 dialect per 10,000 believe 74 author per 10,000 1 dialect per 10,000 like 74 author per 10,000 8 dialect per 10,000 life 74 author per 10,000 6 dialect per 10,000 fur 74 author per 10,000 42 dialect per 10,000 fin 74 author per 10,000 1 dialect per 10,000 aboot 74 author per 10,000 29 dialect per 10,000 da 37 author per 10,000 0 dialect per 10,000 mean 37 author per 10,000 2 dialect per 10,000 this 37 author per 10,000 35 dialect per 10,000 likes 37 author per 10,000 0 dialect per 10,000 me 37 author per 10,000 16 dialect per 10,000 i 37 author per 10,000 74 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 2 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 1 dialect per 10,000 thinkin 37 author per 10,000 1 dialect per 10,000 and 37 author per 10,000 33 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 0 dialect per 10,000 wi 37 author per 10,000 66 dialect per 10,000 dubs 37 author per 10,000 0 dialect per 10,000 waakin 37 author per 10,000 0 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 7 dialect per 10,000 dug 37 author per 10,000 1 dialect per 10,000 still 37 author per 10,000 7 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 1 dialect per 10,000 fact 37 author per 10,000 2 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 3 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 0 dialect per 10,000 dreams 37 author per 10,000 0 dialect per 10,000 maist 37 author per 10,000 4 dialect per 10,000 intae 37 author per 10,000 10 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 0 dialect per 10,000 feart 37 author per 10,000 1 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 1 dialect per 10,000 nivver 37 author per 10,000 1 dialect per 10,000 kint 37 author per 10,000 0 dialect per 10,000 peace 37 author per 10,000 1 dialect per 10,000 hert 37 author per 10,000 4 dialect per 10,000 quine 37 author per 10,000 0 dialect per 10,000 full 37 author per 10,000 0 dialect per 10,000 aathing 37 author per 10,000 0 dialect per 10,000 by 37 author per 10,000 5 dialect per 10,000 fit 37 author per 10,000 5 dialect per 10,000 beauty 37 author per 10,000 0 dialect per 10,000 lies 37 author per 10,000 1 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 0 dialect per 10,000 barley 37 author per 10,000 0 dialect per 10,000 icy 37 author per 10,000 0 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 3 dialect per 10,000 let 37 author per 10,000 3 dialect per 10,000 fecht 37 author per 10,000 0 dialect per 10,000 aneth 37 author per 10,000 0 dialect per 10,000 dinna 37 author per 10,000 2 dialect per 10,000 gowden 37 author per 10,000 1 dialect per 10,000 gin 37 author per 10,000 9 dialect per 10,000 neck 37 author per 10,000 1 dialect per 10,000 for 37 author per 10,000 22 dialect per 10,000 poke 37 author per 10,000 0 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 5 dialect per 10,000 changed 37 author per 10,000 0 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 0 dialect per 10,000 cheese 37 author per 10,000 0 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 3 dialect per 10,000 how 37 author per 10,000 10 dialect per 10,000 may 37 author per 10,000 2 dialect per 10,000 fine 37 author per 10,000 1 dialect per 10,000 his 37 author per 10,000 37 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 1 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 0 dialect per 10,000 thocht 37 author per 10,000 13 dialect per 10,000 gettin 37 author per 10,000 3 dialect per 10,000 ilka 37 author per 10,000 3 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 11 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 2 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 0 dialect per 10,000 wear 37 author per 10,000 0 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 4 dialect per 10,000 windae 37 author per 10,000 1 dialect per 10,000 sea 37 author per 10,000 3 dialect per 10,000 bi 37 author per 10,000 13 dialect per 10,000 wee 37 author per 10,000 23 dialect per 10,000 hoosie 37 author per 10,000 0 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 1 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 4 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 16 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 0 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 65 dialect per 10,000 are 37 author per 10,000 9 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 0 dialect per 10,000 mare 37 author per 10,000 0 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 0 dialect per 10,000 winna 37 author per 10,000 0 dialect per 10,000 years 37 author per 10,000 5 dialect per 10,000 noo 37 author per 10,000 16 dialect per 10,000 few 37 author per 10,000 2 dialect per 10,000 tell 37 author per 10,000 9 dialect per 10,000 ye're 37 author per 10,000 1 dialect per 10,000 forty 37 author per 10,000 0 dialect per 10,000 beasts 37 author per 10,000 1 dialect per 10,000
Ulster
yer 520 author per 10,000 37 dialect per 10,000 ye 335 author per 10,000 79 dialect per 10,000 a 335 author per 10,000 287 dialect per 10,000 ye'll 335 author per 10,000 5 dialect per 10,000 an 297 author per 10,000 358 dialect per 10,000 the 223 author per 10,000 345 dialect per 10,000 tae 223 author per 10,000 253 dialect per 10,000 in 223 author per 10,000 121 dialect per 10,000 o 223 author per 10,000 208 dialect per 10,000 nae 149 author per 10,000 22 dialect per 10,000 fae 149 author per 10,000 13 dialect per 10,000 fan 149 author per 10,000 1 dialect per 10,000 be 149 author per 10,000 39 dialect per 10,000 aat 112 author per 10,000 0 dialect per 10,000 bit 112 author per 10,000 10 dialect per 10,000 stop 112 author per 10,000 0 dialect per 10,000 gan 112 author per 10,000 6 dialect per 10,000 ower 74 author per 10,000 18 dialect per 10,000 is 74 author per 10,000 18 dialect per 10,000 at 74 author per 10,000 58 dialect per 10,000 ma 74 author per 10,000 23 dialect per 10,000 come 74 author per 10,000 10 dialect per 10,000 fowk 74 author per 10,000 21 dialect per 10,000 disnae 74 author per 10,000 3 dialect per 10,000 micht 74 author per 10,000 6 dialect per 10,000 it 74 author per 10,000 73 dialect per 10,000 oot 74 author per 10,000 49 dialect per 10,000 yersel 74 author per 10,000 4 dialect per 10,000 aa 74 author per 10,000 41 dialect per 10,000 hae 74 author per 10,000 55 dialect per 10,000 believe 74 author per 10,000 1 dialect per 10,000 like 74 author per 10,000 9 dialect per 10,000 life 74 author per 10,000 5 dialect per 10,000 fur 74 author per 10,000 48 dialect per 10,000 fin 74 author per 10,000 4 dialect per 10,000 aboot 74 author per 10,000 27 dialect per 10,000 da 37 author per 10,000 2 dialect per 10,000 mean 37 author per 10,000 1 dialect per 10,000 this 37 author per 10,000 27 dialect per 10,000 likes 37 author per 10,000 0 dialect per 10,000 me 37 author per 10,000 24 dialect per 10,000 i 37 author per 10,000 16 dialect per 10,000 trail 37 author per 10,000 0 dialect per 10,000 hauns 37 author per 10,000 1 dialect per 10,000 longin 37 author per 10,000 0 dialect per 10,000 aulder 37 author per 10,000 0 dialect per 10,000 thinkin 37 author per 10,000 1 dialect per 10,000 and 37 author per 10,000 10 dialect per 10,000 fairmin 37 author per 10,000 0 dialect per 10,000 question 37 author per 10,000 1 dialect per 10,000 wi 37 author per 10,000 63 dialect per 10,000 dubs 37 author per 10,000 0 dialect per 10,000 waakin 37 author per 10,000 1 dialect per 10,000 yirded 37 author per 10,000 0 dialect per 10,000 clarted 37 author per 10,000 0 dialect per 10,000 spend 37 author per 10,000 0 dialect per 10,000 days 37 author per 10,000 5 dialect per 10,000 dug 37 author per 10,000 0 dialect per 10,000 still 37 author per 10,000 4 dialect per 10,000 affrontit 37 author per 10,000 0 dialect per 10,000 across 37 author per 10,000 1 dialect per 10,000 fact 37 author per 10,000 0 dialect per 10,000 waldies 37 author per 10,000 0 dialect per 10,000 feel 37 author per 10,000 2 dialect per 10,000 gype 37 author per 10,000 0 dialect per 10,000 eighties 37 author per 10,000 0 dialect per 10,000 tips 37 author per 10,000 0 dialect per 10,000 follae 37 author per 10,000 1 dialect per 10,000 dreams 37 author per 10,000 0 dialect per 10,000 maist 37 author per 10,000 6 dialect per 10,000 intae 37 author per 10,000 14 dialect per 10,000 lean 37 author per 10,000 0 dialect per 10,000 stirs 37 author per 10,000 0 dialect per 10,000 inside 37 author per 10,000 1 dialect per 10,000 feart 37 author per 10,000 2 dialect per 10,000 darlin 37 author per 10,000 0 dialect per 10,000 ye've 37 author per 10,000 0 dialect per 10,000 nivver 37 author per 10,000 0 dialect per 10,000 kint 37 author per 10,000 0 dialect per 10,000 peace 37 author per 10,000 1 dialect per 10,000 hert 37 author per 10,000 0 dialect per 10,000 quine 37 author per 10,000 0 dialect per 10,000 full 37 author per 10,000 1 dialect per 10,000 aathing 37 author per 10,000 0 dialect per 10,000 by 37 author per 10,000 7 dialect per 10,000 fit 37 author per 10,000 4 dialect per 10,000 beauty 37 author per 10,000 0 dialect per 10,000 lies 37 author per 10,000 0 dialect per 10,000 wonderin 37 author per 10,000 0 dialect per 10,000 fashin 37 author per 10,000 0 dialect per 10,000 fields 37 author per 10,000 0 dialect per 10,000 barley 37 author per 10,000 0 dialect per 10,000 icy 37 author per 10,000 0 dialect per 10,000 depths 37 author per 10,000 0 dialect per 10,000 doubts 37 author per 10,000 0 dialect per 10,000 taen 37 author per 10,000 3 dialect per 10,000 let 37 author per 10,000 5 dialect per 10,000 fecht 37 author per 10,000 1 dialect per 10,000 aneth 37 author per 10,000 0 dialect per 10,000 dinna 37 author per 10,000 0 dialect per 10,000 gowden 37 author per 10,000 1 dialect per 10,000 gin 37 author per 10,000 5 dialect per 10,000 neck 37 author per 10,000 1 dialect per 10,000 for 37 author per 10,000 30 dialect per 10,000 poke 37 author per 10,000 0 dialect per 10,000 braakin 37 author per 10,000 0 dialect per 10,000 near 37 author per 10,000 4 dialect per 10,000 changed 37 author per 10,000 1 dialect per 10,000 cobbles 37 author per 10,000 0 dialect per 10,000 chips 37 author per 10,000 0 dialect per 10,000 cheese 37 author per 10,000 0 dialect per 10,000 comfy 37 author per 10,000 0 dialect per 10,000 want 37 author per 10,000 4 dialect per 10,000 how 37 author per 10,000 1 dialect per 10,000 may 37 author per 10,000 2 dialect per 10,000 fine 37 author per 10,000 1 dialect per 10,000 his 37 author per 10,000 25 dialect per 10,000 totterin 37 author per 10,000 0 dialect per 10,000 haen 37 author per 10,000 0 dialect per 10,000 trailing 37 author per 10,000 0 dialect per 10,000 half 37 author per 10,000 2 dialect per 10,000 thocht 37 author per 10,000 11 dialect per 10,000 gettin 37 author per 10,000 2 dialect per 10,000 ilka 37 author per 10,000 2 dialect per 10,000 wikkend 37 author per 10,000 0 dialect per 10,000 nyakit 37 author per 10,000 0 dialect per 10,000 jist 37 author per 10,000 8 dialect per 10,000 mintal 37 author per 10,000 0 dialect per 10,000 teeterin 37 author per 10,000 0 dialect per 10,000 seem 37 author per 10,000 1 dialect per 10,000 hankering 37 author per 10,000 0 dialect per 10,000 impress 37 author per 10,000 0 dialect per 10,000 loon 37 author per 10,000 0 dialect per 10,000 wear 37 author per 10,000 0 dialect per 10,000 flatties 37 author per 10,000 0 dialect per 10,000 look 37 author per 10,000 1 dialect per 10,000 windae 37 author per 10,000 1 dialect per 10,000 sea 37 author per 10,000 2 dialect per 10,000 bi 37 author per 10,000 6 dialect per 10,000 wee 37 author per 10,000 27 dialect per 10,000 hoosie 37 author per 10,000 0 dialect per 10,000 fairtricket 37 author per 10,000 0 dialect per 10,000 catch 37 author per 10,000 1 dialect per 10,000 misty-eened 37 author per 10,000 0 dialect per 10,000 lookin 37 author per 10,000 0 dialect per 10,000 bleezin 37 author per 10,000 0 dialect per 10,000 mair 37 author per 10,000 27 dialect per 10,000 glimpses 37 author per 10,000 0 dialect per 10,000 whales 37 author per 10,000 0 dialect per 10,000 livin 37 author per 10,000 0 dialect per 10,000 bidie-in 37 author per 10,000 0 dialect per 10,000 that 37 author per 10,000 71 dialect per 10,000 are 37 author per 10,000 4 dialect per 10,000 hoods 37 author per 10,000 0 dialect per 10,000 wae 37 author per 10,000 11 dialect per 10,000 mare 37 author per 10,000 0 dialect per 10,000 jaikets 37 author per 10,000 0 dialect per 10,000 cosy 37 author per 10,000 0 dialect per 10,000 winna 37 author per 10,000 0 dialect per 10,000 years 37 author per 10,000 2 dialect per 10,000 noo 37 author per 10,000 22 dialect per 10,000 few 37 author per 10,000 0 dialect per 10,000 tell 37 author per 10,000 10 dialect per 10,000 ye're 37 author per 10,000 1 dialect per 10,000 forty 37 author per 10,000 0 dialect per 10,000 beasts 37 author per 10,000 0 dialect per 10,000