A Corpus of 21st Century Scots Texts

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Eunson, Catherine


Total words by this author in corpus - 454
Total unique words used by this author in corpus - 284
Ratio of total words to unique words - 1.599
Top ten most common words - the, and, tae, a, €™s, his, in, at, it, wis,

Word frequency analysis

For these graphs we normalise the words used by the author to occurrences per million, and we calculate a similar normalised number of occurrences for the same word in each dialect. The author's norm is plotted against each dialect's norm in each graph.
If the dots line up with the diagonal line then the author is using words found in that dialect in about the typical frequency expected.
If the dots are below the dotted line, then the author's words are not found in the dialect as often as expected.
If the dots are along the y-axis, the words are not found in that dialect.
To save memory only the most frequent 200 words of the author's work are plotted.

Central
the 749 author per 10,000 565 dialect per 10,000 and 374 author per 10,000 94 dialect per 10,000 tae 198 author per 10,000 211 dialect per 10,000 a 198 author per 10,000 266 dialect per 10,000 €™s 176 author per 10,000 32 dialect per 10,000 his 154 author per 10,000 59 dialect per 10,000 in 154 author per 10,000 147 dialect per 10,000 at 110 author per 10,000 59 dialect per 10,000 it 110 author per 10,000 116 dialect per 10,000 wis 110 author per 10,000 97 dialect per 10,000 there 110 author per 10,000 23 dialect per 10,000 but 110 author per 10,000 48 dialect per 10,000 she 110 author per 10,000 56 dialect per 10,000 on 110 author per 10,000 55 dialect per 10,000 wi 88 author per 10,000 67 dialect per 10,000 that 88 author per 10,000 106 dialect per 10,000 for 88 author per 10,000 48 dialect per 10,000 i 88 author per 10,000 39 dialect per 10,000 nor 66 author per 10,000 7 dialect per 10,000 broon 66 author per 10,000 1 dialect per 10,000 day 66 author per 10,000 14 dialect per 10,000 o 66 author per 10,000 185 dialect per 10,000 €™re 66 author per 10,000 3 dialect per 10,000 auld 66 author per 10,000 14 dialect per 10,000 oot 66 author per 10,000 40 dialect per 10,000 they 66 author per 10,000 41 dialect per 10,000 noo 66 author per 10,000 14 dialect per 10,000 abody 66 author per 10,000 0 dialect per 10,000 €™m 44 author per 10,000 6 dialect per 10,000 nae 44 author per 10,000 24 dialect per 10,000 hid 44 author per 10,000 2 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 0 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 7 dialect per 10,000 gress 44 author per 10,000 1 dialect per 10,000 muckle 44 author per 10,000 10 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 17 dialect per 10,000 lang 44 author per 10,000 10 dialect per 10,000 gin 44 author per 10,000 7 dialect per 10,000 up 44 author per 10,000 40 dialect per 10,000 be 44 author per 10,000 48 dialect per 10,000 doon 44 author per 10,000 18 dialect per 10,000 is 44 author per 10,000 58 dialect per 10,000 anely 44 author per 10,000 1 dialect per 10,000 god 44 author per 10,000 2 dialect per 10,000 to 44 author per 10,000 9 dialect per 10,000 them 44 author per 10,000 18 dialect per 10,000 we 44 author per 10,000 33 dialect per 10,000 him 44 author per 10,000 29 dialect per 10,000 jist 44 author per 10,000 20 dialect per 10,000 €“ 44 author per 10,000 5 dialect per 10,000 fae 44 author per 10,000 26 dialect per 10,000 fine 22 author per 10,000 3 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 2 dialect per 10,000 rin 22 author per 10,000 1 dialect per 10,000 nichts 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 0 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 10 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 15 dialect per 10,000 aboot 22 author per 10,000 29 dialect per 10,000 need 22 author per 10,000 5 dialect per 10,000 mither 22 author per 10,000 4 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 5 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 0 dialect per 10,000 peer 22 author per 10,000 0 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 0 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 9 dialect per 10,000 her 22 author per 10,000 46 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 1 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 0 dialect per 10,000 hiv 22 author per 10,000 2 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 1 dialect per 10,000 these 22 author per 10,000 4 dialect per 10,000 wey 22 author per 10,000 12 dialect per 10,000 by 22 author per 10,000 17 dialect per 10,000 didnae 22 author per 10,000 7 dialect per 10,000 aw 22 author per 10,000 39 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 15 dialect per 10,000 richt 22 author per 10,000 12 dialect per 10,000 things 22 author per 10,000 5 dialect per 10,000 stories 22 author per 10,000 1 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 10 dialect per 10,000 my 22 author per 10,000 6 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 4 dialect per 10,000 settle 22 author per 10,000 0 dialect per 10,000 tryin 22 author per 10,000 3 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 lot 22 author per 10,000 2 dialect per 10,000 hame 22 author per 10,000 6 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 0 dialect per 10,000 box 22 author per 10,000 1 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 8 dialect per 10,000 mak 22 author per 10,000 8 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 1 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 0 dialect per 10,000 stuck 22 author per 10,000 1 dialect per 10,000 starin 22 author per 10,000 1 dialect per 10,000 unner 22 author per 10,000 2 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 0 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 2 dialect per 10,000 jim 22 author per 10,000 0 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 5 dialect per 10,000 du 22 author per 10,000 0 dialect per 10,000 tears 22 author per 10,000 1 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 17 dialect per 10,000 faimlie 22 author per 10,000 0 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 0 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 0 dialect per 10,000 oors 22 author per 10,000 1 dialect per 10,000 waited 22 author per 10,000 0 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 0 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 1 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 16 dialect per 10,000 bug 22 author per 10,000 0 dialect per 10,000 taen 22 author per 10,000 4 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 18 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 2 dialect per 10,000 wid 22 author per 10,000 8 dialect per 10,000 roon 22 author per 10,000 4 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 0 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 2 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 1 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 0 dialect per 10,000 black 22 author per 10,000 2 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 3 dialect per 10,000 doctor 22 author per 10,000 1 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 0 dialect per 10,000 through 22 author per 10,000 6 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 1 dialect per 10,000 haddin 22 author per 10,000 0 dialect per 10,000 hat 22 author per 10,000 0 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 40 dialect per 10,000 yon 22 author per 10,000 4 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 1 dialect per 10,000 		Doric
the 749 author per 10,000 452 dialect per 10,000 and 374 author per 10,000 41 dialect per 10,000 tae 198 author per 10,000 171 dialect per 10,000 a 198 author per 10,000 315 dialect per 10,000 €™s 176 author per 10,000 21 dialect per 10,000 his 154 author per 10,000 69 dialect per 10,000 in 154 author per 10,000 130 dialect per 10,000 at 110 author per 10,000 68 dialect per 10,000 it 110 author per 10,000 99 dialect per 10,000 wis 110 author per 10,000 105 dialect per 10,000 there 110 author per 10,000 22 dialect per 10,000 but 110 author per 10,000 25 dialect per 10,000 she 110 author per 10,000 66 dialect per 10,000 on 110 author per 10,000 67 dialect per 10,000 wi 88 author per 10,000 77 dialect per 10,000 that 88 author per 10,000 53 dialect per 10,000 for 88 author per 10,000 45 dialect per 10,000 i 88 author per 10,000 68 dialect per 10,000 nor 66 author per 10,000 6 dialect per 10,000 broon 66 author per 10,000 2 dialect per 10,000 day 66 author per 10,000 26 dialect per 10,000 o 66 author per 10,000 176 dialect per 10,000 €™re 66 author per 10,000 1 dialect per 10,000 auld 66 author per 10,000 8 dialect per 10,000 oot 66 author per 10,000 50 dialect per 10,000 they 66 author per 10,000 36 dialect per 10,000 noo 66 author per 10,000 23 dialect per 10,000 abody 66 author per 10,000 1 dialect per 10,000 €™m 44 author per 10,000 3 dialect per 10,000 nae 44 author per 10,000 50 dialect per 10,000 hid 44 author per 10,000 34 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 0 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 3 dialect per 10,000 gress 44 author per 10,000 0 dialect per 10,000 muckle 44 author per 10,000 10 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 16 dialect per 10,000 lang 44 author per 10,000 13 dialect per 10,000 gin 44 author per 10,000 8 dialect per 10,000 up 44 author per 10,000 47 dialect per 10,000 be 44 author per 10,000 45 dialect per 10,000 doon 44 author per 10,000 33 dialect per 10,000 is 44 author per 10,000 39 dialect per 10,000 anely 44 author per 10,000 2 dialect per 10,000 god 44 author per 10,000 4 dialect per 10,000 to 44 author per 10,000 8 dialect per 10,000 them 44 author per 10,000 23 dialect per 10,000 we 44 author per 10,000 33 dialect per 10,000 him 44 author per 10,000 30 dialect per 10,000 jist 44 author per 10,000 36 dialect per 10,000 €“ 44 author per 10,000 6 dialect per 10,000 fae 44 author per 10,000 30 dialect per 10,000 fine 22 author per 10,000 11 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 3 dialect per 10,000 rin 22 author per 10,000 2 dialect per 10,000 nichts 22 author per 10,000 1 dialect per 10,000 time 22 author per 10,000 19 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 0 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 18 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 8 dialect per 10,000 aboot 22 author per 10,000 33 dialect per 10,000 need 22 author per 10,000 5 dialect per 10,000 mither 22 author per 10,000 8 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 5 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 7 dialect per 10,000 peer 22 author per 10,000 3 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 1 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 8 dialect per 10,000 her 22 author per 10,000 64 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 0 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 1 dialect per 10,000 hiv 22 author per 10,000 9 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 1 dialect per 10,000 these 22 author per 10,000 2 dialect per 10,000 wey 22 author per 10,000 3 dialect per 10,000 by 22 author per 10,000 9 dialect per 10,000 didnae 22 author per 10,000 2 dialect per 10,000 aw 22 author per 10,000 4 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 17 dialect per 10,000 richt 22 author per 10,000 19 dialect per 10,000 things 22 author per 10,000 6 dialect per 10,000 stories 22 author per 10,000 1 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 7 dialect per 10,000 my 22 author per 10,000 11 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 4 dialect per 10,000 settle 22 author per 10,000 0 dialect per 10,000 tryin 22 author per 10,000 2 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 1 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 lot 22 author per 10,000 3 dialect per 10,000 hame 22 author per 10,000 11 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 0 dialect per 10,000 box 22 author per 10,000 1 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 5 dialect per 10,000 mak 22 author per 10,000 9 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 0 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 1 dialect per 10,000 stuck 22 author per 10,000 1 dialect per 10,000 starin 22 author per 10,000 0 dialect per 10,000 unner 22 author per 10,000 1 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 1 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 8 dialect per 10,000 jim 22 author per 10,000 1 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 5 dialect per 10,000 du 22 author per 10,000 0 dialect per 10,000 tears 22 author per 10,000 1 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 21 dialect per 10,000 faimlie 22 author per 10,000 0 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 0 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 0 dialect per 10,000 oors 22 author per 10,000 2 dialect per 10,000 waited 22 author per 10,000 0 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 7 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 1 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 14 dialect per 10,000 bug 22 author per 10,000 1 dialect per 10,000 taen 22 author per 10,000 2 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 13 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 5 dialect per 10,000 wid 22 author per 10,000 18 dialect per 10,000 roon 22 author per 10,000 11 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 1 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 1 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 2 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 3 dialect per 10,000 black 22 author per 10,000 3 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 2 dialect per 10,000 doctor 22 author per 10,000 2 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 1 dialect per 10,000 through 22 author per 10,000 3 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 1 dialect per 10,000 haddin 22 author per 10,000 0 dialect per 10,000 hat 22 author per 10,000 1 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 1 dialect per 10,000 me 22 author per 10,000 32 dialect per 10,000 yon 22 author per 10,000 8 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 1 dialect per 10,000
Shetland
the 749 author per 10,000 18 dialect per 10,000 and 374 author per 10,000 15 dialect per 10,000 tae 198 author per 10,000 86 dialect per 10,000 a 198 author per 10,000 280 dialect per 10,000 €™s 176 author per 10,000 15 dialect per 10,000 his 154 author per 10,000 52 dialect per 10,000 in 154 author per 10,000 105 dialect per 10,000 at 110 author per 10,000 112 dialect per 10,000 it 110 author per 10,000 58 dialect per 10,000 wis 110 author per 10,000 162 dialect per 10,000 there 110 author per 10,000 1 dialect per 10,000 but 110 author per 10,000 29 dialect per 10,000 she 110 author per 10,000 7 dialect per 10,000 on 110 author per 10,000 52 dialect per 10,000 wi 88 author per 10,000 95 dialect per 10,000 that 88 author per 10,000 4 dialect per 10,000 for 88 author per 10,000 35 dialect per 10,000 i 88 author per 10,000 143 dialect per 10,000 nor 66 author per 10,000 3 dialect per 10,000 broon 66 author per 10,000 1 dialect per 10,000 day 66 author per 10,000 18 dialect per 10,000 o 66 author per 10,000 177 dialect per 10,000 €™re 66 author per 10,000 1 dialect per 10,000 auld 66 author per 10,000 1 dialect per 10,000 oot 66 author per 10,000 42 dialect per 10,000 they 66 author per 10,000 2 dialect per 10,000 noo 66 author per 10,000 19 dialect per 10,000 abody 66 author per 10,000 0 dialect per 10,000 €™m 44 author per 10,000 5 dialect per 10,000 nae 44 author per 10,000 23 dialect per 10,000 hid 44 author per 10,000 1 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 0 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 0 dialect per 10,000 gress 44 author per 10,000 0 dialect per 10,000 muckle 44 author per 10,000 12 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 25 dialect per 10,000 lang 44 author per 10,000 11 dialect per 10,000 gin 44 author per 10,000 0 dialect per 10,000 up 44 author per 10,000 42 dialect per 10,000 be 44 author per 10,000 56 dialect per 10,000 doon 44 author per 10,000 22 dialect per 10,000 is 44 author per 10,000 81 dialect per 10,000 anely 44 author per 10,000 0 dialect per 10,000 god 44 author per 10,000 1 dialect per 10,000 to 44 author per 10,000 8 dialect per 10,000 them 44 author per 10,000 1 dialect per 10,000 we 44 author per 10,000 44 dialect per 10,000 him 44 author per 10,000 47 dialect per 10,000 jist 44 author per 10,000 0 dialect per 10,000 €“ 44 author per 10,000 2 dialect per 10,000 fae 44 author per 10,000 40 dialect per 10,000 fine 22 author per 10,000 7 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 7 dialect per 10,000 rin 22 author per 10,000 1 dialect per 10,000 nichts 22 author per 10,000 1 dialect per 10,000 time 22 author per 10,000 21 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 0 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 13 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 1 dialect per 10,000 aboot 22 author per 10,000 41 dialect per 10,000 need 22 author per 10,000 3 dialect per 10,000 mither 22 author per 10,000 0 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 5 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 0 dialect per 10,000 peer 22 author per 10,000 0 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 0 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 12 dialect per 10,000 her 22 author per 10,000 64 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 0 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 0 dialect per 10,000 hiv 22 author per 10,000 1 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 1 dialect per 10,000 these 22 author per 10,000 1 dialect per 10,000 wey 22 author per 10,000 0 dialect per 10,000 by 22 author per 10,000 7 dialect per 10,000 didnae 22 author per 10,000 0 dialect per 10,000 aw 22 author per 10,000 0 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 51 dialect per 10,000 richt 22 author per 10,000 13 dialect per 10,000 things 22 author per 10,000 7 dialect per 10,000 stories 22 author per 10,000 0 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 7 dialect per 10,000 my 22 author per 10,000 23 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 2 dialect per 10,000 settle 22 author per 10,000 1 dialect per 10,000 tryin 22 author per 10,000 2 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 1 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 lot 22 author per 10,000 1 dialect per 10,000 hame 22 author per 10,000 7 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 1 dialect per 10,000 box 22 author per 10,000 2 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 10 dialect per 10,000 mak 22 author per 10,000 12 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 2 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 0 dialect per 10,000 stuck 22 author per 10,000 0 dialect per 10,000 starin 22 author per 10,000 0 dialect per 10,000 unner 22 author per 10,000 0 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 1 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 7 dialect per 10,000 jim 22 author per 10,000 0 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 7 dialect per 10,000 du 22 author per 10,000 44 dialect per 10,000 tears 22 author per 10,000 0 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 20 dialect per 10,000 faimlie 22 author per 10,000 0 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 5 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 0 dialect per 10,000 oors 22 author per 10,000 1 dialect per 10,000 waited 22 author per 10,000 0 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 11 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 0 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 8 dialect per 10,000 bug 22 author per 10,000 0 dialect per 10,000 taen 22 author per 10,000 4 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 16 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 3 dialect per 10,000 wid 22 author per 10,000 38 dialect per 10,000 roon 22 author per 10,000 0 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 0 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 0 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 0 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 2 dialect per 10,000 black 22 author per 10,000 3 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 0 dialect per 10,000 doctor 22 author per 10,000 1 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 0 dialect per 10,000 through 22 author per 10,000 0 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 1 dialect per 10,000 haddin 22 author per 10,000 1 dialect per 10,000 hat 22 author per 10,000 1 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 41 dialect per 10,000 yon 22 author per 10,000 6 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 0 dialect per 10,000 		Orkney
the 749 author per 10,000 582 dialect per 10,000 and 374 author per 10,000 199 dialect per 10,000 tae 198 author per 10,000 223 dialect per 10,000 a 198 author per 10,000 298 dialect per 10,000 €™s 176 author per 10,000 17 dialect per 10,000 his 154 author per 10,000 61 dialect per 10,000 in 154 author per 10,000 146 dialect per 10,000 at 110 author per 10,000 54 dialect per 10,000 it 110 author per 10,000 23 dialect per 10,000 wis 110 author per 10,000 80 dialect per 10,000 there 110 author per 10,000 18 dialect per 10,000 but 110 author per 10,000 28 dialect per 10,000 she 110 author per 10,000 9 dialect per 10,000 on 110 author per 10,000 73 dialect per 10,000 wi 88 author per 10,000 46 dialect per 10,000 that 88 author per 10,000 75 dialect per 10,000 for 88 author per 10,000 26 dialect per 10,000 i 88 author per 10,000 158 dialect per 10,000 nor 66 author per 10,000 1 dialect per 10,000 broon 66 author per 10,000 2 dialect per 10,000 day 66 author per 10,000 20 dialect per 10,000 o 66 author per 10,000 202 dialect per 10,000 €™re 66 author per 10,000 1 dialect per 10,000 auld 66 author per 10,000 1 dialect per 10,000 oot 66 author per 10,000 50 dialect per 10,000 they 66 author per 10,000 37 dialect per 10,000 noo 66 author per 10,000 27 dialect per 10,000 abody 66 author per 10,000 0 dialect per 10,000 €™m 44 author per 10,000 3 dialect per 10,000 nae 44 author per 10,000 3 dialect per 10,000 hid 44 author per 10,000 91 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 1 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 0 dialect per 10,000 gress 44 author per 10,000 2 dialect per 10,000 muckle 44 author per 10,000 6 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 15 dialect per 10,000 lang 44 author per 10,000 1 dialect per 10,000 gin 44 author per 10,000 1 dialect per 10,000 up 44 author per 10,000 34 dialect per 10,000 be 44 author per 10,000 42 dialect per 10,000 doon 44 author per 10,000 28 dialect per 10,000 is 44 author per 10,000 71 dialect per 10,000 anely 44 author per 10,000 0 dialect per 10,000 god 44 author per 10,000 2 dialect per 10,000 to 44 author per 10,000 8 dialect per 10,000 them 44 author per 10,000 18 dialect per 10,000 we 44 author per 10,000 29 dialect per 10,000 him 44 author per 10,000 21 dialect per 10,000 jist 44 author per 10,000 3 dialect per 10,000 €“ 44 author per 10,000 13 dialect per 10,000 fae 44 author per 10,000 39 dialect per 10,000 fine 22 author per 10,000 7 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 0 dialect per 10,000 rin 22 author per 10,000 0 dialect per 10,000 nichts 22 author per 10,000 0 dialect per 10,000 time 22 author per 10,000 18 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 1 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 10 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 2 dialect per 10,000 aboot 22 author per 10,000 26 dialect per 10,000 need 22 author per 10,000 4 dialect per 10,000 mither 22 author per 10,000 5 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 1 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 0 dialect per 10,000 peer 22 author per 10,000 0 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 0 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 13 dialect per 10,000 her 22 author per 10,000 49 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 2 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 1 dialect per 10,000 hiv 22 author per 10,000 13 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 1 dialect per 10,000 these 22 author per 10,000 2 dialect per 10,000 wey 22 author per 10,000 10 dialect per 10,000 by 22 author per 10,000 16 dialect per 10,000 didnae 22 author per 10,000 0 dialect per 10,000 aw 22 author per 10,000 0 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 35 dialect per 10,000 richt 22 author per 10,000 0 dialect per 10,000 things 22 author per 10,000 9 dialect per 10,000 stories 22 author per 10,000 1 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 0 dialect per 10,000 my 22 author per 10,000 5 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 2 dialect per 10,000 settle 22 author per 10,000 0 dialect per 10,000 tryin 22 author per 10,000 0 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 0 dialect per 10,000 left 22 author per 10,000 6 dialect per 10,000 lot 22 author per 10,000 3 dialect per 10,000 hame 22 author per 10,000 1 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 0 dialect per 10,000 box 22 author per 10,000 2 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 9 dialect per 10,000 mak 22 author per 10,000 9 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 1 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 0 dialect per 10,000 stuck 22 author per 10,000 2 dialect per 10,000 starin 22 author per 10,000 0 dialect per 10,000 unner 22 author per 10,000 0 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 2 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 8 dialect per 10,000 jim 22 author per 10,000 2 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 4 dialect per 10,000 du 22 author per 10,000 0 dialect per 10,000 tears 22 author per 10,000 1 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 17 dialect per 10,000 faimlie 22 author per 10,000 0 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 0 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 0 dialect per 10,000 oors 22 author per 10,000 1 dialect per 10,000 waited 22 author per 10,000 1 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 0 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 0 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 1 dialect per 10,000 bug 22 author per 10,000 0 dialect per 10,000 taen 22 author per 10,000 3 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 18 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 0 dialect per 10,000 wid 22 author per 10,000 20 dialect per 10,000 roon 22 author per 10,000 2 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 1 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 1 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 0 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 2 dialect per 10,000 black 22 author per 10,000 6 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 1 dialect per 10,000 doctor 22 author per 10,000 1 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 1 dialect per 10,000 through 22 author per 10,000 9 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 0 dialect per 10,000 haddin 22 author per 10,000 0 dialect per 10,000 hat 22 author per 10,000 3 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 115 dialect per 10,000 yon 22 author per 10,000 0 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 1 dialect per 10,000
Southern
the 749 author per 10,000 449 dialect per 10,000 and 374 author per 10,000 33 dialect per 10,000 tae 198 author per 10,000 206 dialect per 10,000 a 198 author per 10,000 230 dialect per 10,000 €™s 176 author per 10,000 34 dialect per 10,000 his 154 author per 10,000 37 dialect per 10,000 in 154 author per 10,000 107 dialect per 10,000 at 110 author per 10,000 69 dialect per 10,000 it 110 author per 10,000 63 dialect per 10,000 wis 110 author per 10,000 54 dialect per 10,000 there 110 author per 10,000 16 dialect per 10,000 but 110 author per 10,000 42 dialect per 10,000 she 110 author per 10,000 91 dialect per 10,000 on 110 author per 10,000 55 dialect per 10,000 wi 88 author per 10,000 66 dialect per 10,000 that 88 author per 10,000 65 dialect per 10,000 for 88 author per 10,000 22 dialect per 10,000 i 88 author per 10,000 74 dialect per 10,000 nor 66 author per 10,000 5 dialect per 10,000 broon 66 author per 10,000 1 dialect per 10,000 day 66 author per 10,000 17 dialect per 10,000 o 66 author per 10,000 200 dialect per 10,000 €™re 66 author per 10,000 1 dialect per 10,000 auld 66 author per 10,000 22 dialect per 10,000 oot 66 author per 10,000 34 dialect per 10,000 they 66 author per 10,000 31 dialect per 10,000 noo 66 author per 10,000 16 dialect per 10,000 abody 66 author per 10,000 1 dialect per 10,000 €™m 44 author per 10,000 5 dialect per 10,000 nae 44 author per 10,000 25 dialect per 10,000 hid 44 author per 10,000 0 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 0 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 4 dialect per 10,000 gress 44 author per 10,000 3 dialect per 10,000 muckle 44 author per 10,000 6 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 17 dialect per 10,000 lang 44 author per 10,000 12 dialect per 10,000 gin 44 author per 10,000 9 dialect per 10,000 up 44 author per 10,000 41 dialect per 10,000 be 44 author per 10,000 13 dialect per 10,000 doon 44 author per 10,000 24 dialect per 10,000 is 44 author per 10,000 62 dialect per 10,000 anely 44 author per 10,000 0 dialect per 10,000 god 44 author per 10,000 0 dialect per 10,000 to 44 author per 10,000 1 dialect per 10,000 them 44 author per 10,000 5 dialect per 10,000 we 44 author per 10,000 10 dialect per 10,000 him 44 author per 10,000 11 dialect per 10,000 jist 44 author per 10,000 11 dialect per 10,000 €“ 44 author per 10,000 5 dialect per 10,000 fae 44 author per 10,000 0 dialect per 10,000 fine 22 author per 10,000 1 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 1 dialect per 10,000 rin 22 author per 10,000 2 dialect per 10,000 nichts 22 author per 10,000 1 dialect per 10,000 time 22 author per 10,000 14 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 0 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 2 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 11 dialect per 10,000 aboot 22 author per 10,000 29 dialect per 10,000 need 22 author per 10,000 1 dialect per 10,000 mither 22 author per 10,000 1 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 8 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 0 dialect per 10,000 peer 22 author per 10,000 0 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 0 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 13 dialect per 10,000 her 22 author per 10,000 17 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 1 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 9 dialect per 10,000 hiv 22 author per 10,000 0 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 1 dialect per 10,000 these 22 author per 10,000 2 dialect per 10,000 wey 22 author per 10,000 3 dialect per 10,000 by 22 author per 10,000 5 dialect per 10,000 didnae 22 author per 10,000 5 dialect per 10,000 aw 22 author per 10,000 32 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 3 dialect per 10,000 richt 22 author per 10,000 18 dialect per 10,000 things 22 author per 10,000 2 dialect per 10,000 stories 22 author per 10,000 0 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 9 dialect per 10,000 my 22 author per 10,000 1 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 3 dialect per 10,000 settle 22 author per 10,000 1 dialect per 10,000 tryin 22 author per 10,000 2 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 1 dialect per 10,000 left 22 author per 10,000 5 dialect per 10,000 lot 22 author per 10,000 2 dialect per 10,000 hame 22 author per 10,000 8 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 0 dialect per 10,000 box 22 author per 10,000 1 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 8 dialect per 10,000 mak 22 author per 10,000 7 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 1 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 0 dialect per 10,000 stuck 22 author per 10,000 1 dialect per 10,000 starin 22 author per 10,000 1 dialect per 10,000 unner 22 author per 10,000 1 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 0 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 1 dialect per 10,000 jim 22 author per 10,000 2 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 5 dialect per 10,000 du 22 author per 10,000 0 dialect per 10,000 tears 22 author per 10,000 3 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 5 dialect per 10,000 faimlie 22 author per 10,000 7 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 1 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 2 dialect per 10,000 oors 22 author per 10,000 1 dialect per 10,000 waited 22 author per 10,000 2 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 0 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 0 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 28 dialect per 10,000 bug 22 author per 10,000 0 dialect per 10,000 taen 22 author per 10,000 3 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 10 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 2 dialect per 10,000 wid 22 author per 10,000 1 dialect per 10,000 roon 22 author per 10,000 2 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 0 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 1 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 1 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 0 dialect per 10,000 black 22 author per 10,000 1 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 3 dialect per 10,000 doctor 22 author per 10,000 0 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 0 dialect per 10,000 through 22 author per 10,000 2 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 0 dialect per 10,000 haddin 22 author per 10,000 0 dialect per 10,000 hat 22 author per 10,000 1 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 16 dialect per 10,000 yon 22 author per 10,000 10 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 0 dialect per 10,000 		Ulster
the 749 author per 10,000 345 dialect per 10,000 and 374 author per 10,000 10 dialect per 10,000 tae 198 author per 10,000 253 dialect per 10,000 a 198 author per 10,000 287 dialect per 10,000 €™s 176 author per 10,000 11 dialect per 10,000 his 154 author per 10,000 25 dialect per 10,000 in 154 author per 10,000 121 dialect per 10,000 at 110 author per 10,000 58 dialect per 10,000 it 110 author per 10,000 73 dialect per 10,000 wis 110 author per 10,000 1 dialect per 10,000 there 110 author per 10,000 8 dialect per 10,000 but 110 author per 10,000 41 dialect per 10,000 she 110 author per 10,000 31 dialect per 10,000 on 110 author per 10,000 57 dialect per 10,000 wi 88 author per 10,000 63 dialect per 10,000 that 88 author per 10,000 71 dialect per 10,000 for 88 author per 10,000 30 dialect per 10,000 i 88 author per 10,000 16 dialect per 10,000 nor 66 author per 10,000 11 dialect per 10,000 broon 66 author per 10,000 1 dialect per 10,000 day 66 author per 10,000 15 dialect per 10,000 o 66 author per 10,000 208 dialect per 10,000 €™re 66 author per 10,000 1 dialect per 10,000 auld 66 author per 10,000 1 dialect per 10,000 oot 66 author per 10,000 49 dialect per 10,000 they 66 author per 10,000 26 dialect per 10,000 noo 66 author per 10,000 22 dialect per 10,000 abody 66 author per 10,000 0 dialect per 10,000 €™m 44 author per 10,000 1 dialect per 10,000 nae 44 author per 10,000 22 dialect per 10,000 hid 44 author per 10,000 0 dialect per 10,000 birsilt 44 author per 10,000 0 dialect per 10,000 rocks 44 author per 10,000 0 dialect per 10,000 stuart 44 author per 10,000 0 dialect per 10,000 thon 44 author per 10,000 27 dialect per 10,000 gress 44 author per 10,000 1 dialect per 10,000 muckle 44 author per 10,000 2 dialect per 10,000 maisrie 44 author per 10,000 0 dialect per 10,000 if 44 author per 10,000 14 dialect per 10,000 lang 44 author per 10,000 12 dialect per 10,000 gin 44 author per 10,000 5 dialect per 10,000 up 44 author per 10,000 32 dialect per 10,000 be 44 author per 10,000 39 dialect per 10,000 doon 44 author per 10,000 28 dialect per 10,000 is 44 author per 10,000 18 dialect per 10,000 anely 44 author per 10,000 0 dialect per 10,000 god 44 author per 10,000 11 dialect per 10,000 to 44 author per 10,000 3 dialect per 10,000 them 44 author per 10,000 8 dialect per 10,000 we 44 author per 10,000 18 dialect per 10,000 him 44 author per 10,000 11 dialect per 10,000 jist 44 author per 10,000 8 dialect per 10,000 €“ 44 author per 10,000 0 dialect per 10,000 fae 44 author per 10,000 13 dialect per 10,000 fine 22 author per 10,000 1 dialect per 10,000 child 22 author per 10,000 0 dialect per 10,000 naethin 22 author per 10,000 5 dialect per 10,000 rin 22 author per 10,000 5 dialect per 10,000 nichts 22 author per 10,000 1 dialect per 10,000 time 22 author per 10,000 13 dialect per 10,000 bookit 22 author per 10,000 0 dialect per 10,000 ballad 22 author per 10,000 0 dialect per 10,000 hurt 22 author per 10,000 0 dialect per 10,000 maison 22 author per 10,000 0 dialect per 10,000 cowpit 22 author per 10,000 0 dialect per 10,000 marguerite 22 author per 10,000 0 dialect per 10,000 tragedy 22 author per 10,000 0 dialect per 10,000 twa 22 author per 10,000 11 dialect per 10,000 flichts 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 15 dialect per 10,000 aboot 22 author per 10,000 27 dialect per 10,000 need 22 author per 10,000 4 dialect per 10,000 mither 22 author per 10,000 3 dialect per 10,000 gruim 22 author per 10,000 0 dialect per 10,000 baith 22 author per 10,000 6 dialect per 10,000 faimlies 22 author per 10,000 0 dialect per 10,000 loon 22 author per 10,000 0 dialect per 10,000 peer 22 author per 10,000 0 dialect per 10,000 cursit 22 author per 10,000 0 dialect per 10,000 winted 22 author per 10,000 0 dialect per 10,000 pizen 22 author per 10,000 0 dialect per 10,000 could 22 author per 10,000 1 dialect per 10,000 her 22 author per 10,000 8 dialect per 10,000 dairts 22 author per 10,000 0 dialect per 10,000 weys 22 author per 10,000 0 dialect per 10,000 bloom 22 author per 10,000 0 dialect per 10,000 blackened 22 author per 10,000 0 dialect per 10,000 bade 22 author per 10,000 0 dialect per 10,000 hiv 22 author per 10,000 0 dialect per 10,000 ruint 22 author per 10,000 0 dialect per 10,000 sometimes 22 author per 10,000 0 dialect per 10,000 these 22 author per 10,000 5 dialect per 10,000 wey 22 author per 10,000 0 dialect per 10,000 by 22 author per 10,000 7 dialect per 10,000 didnae 22 author per 10,000 7 dialect per 10,000 aw 22 author per 10,000 1 dialect per 10,000 forth 22 author per 10,000 0 dialect per 10,000 you 22 author per 10,000 5 dialect per 10,000 richt 22 author per 10,000 13 dialect per 10,000 things 22 author per 10,000 4 dialect per 10,000 stories 22 author per 10,000 1 dialect per 10,000 brussels 22 author per 10,000 0 dialect per 10,000 ain 22 author per 10,000 14 dialect per 10,000 my 22 author per 10,000 2 dialect per 10,000 cairpet 22 author per 10,000 0 dialect per 10,000 room 22 author per 10,000 1 dialect per 10,000 settle 22 author per 10,000 1 dialect per 10,000 tryin 22 author per 10,000 1 dialect per 10,000 sitting 22 author per 10,000 0 dialect per 10,000 thankit 22 author per 10,000 0 dialect per 10,000 bottles 22 author per 10,000 0 dialect per 10,000 bocht 22 author per 10,000 1 dialect per 10,000 left 22 author per 10,000 4 dialect per 10,000 lot 22 author per 10,000 1 dialect per 10,000 hame 22 author per 10,000 10 dialect per 10,000 mop 22 author per 10,000 0 dialect per 10,000 mysel 22 author per 10,000 0 dialect per 10,000 box 22 author per 10,000 2 dialect per 10,000 fichts 22 author per 10,000 0 dialect per 10,000 mind 22 author per 10,000 2 dialect per 10,000 mak 22 author per 10,000 10 dialect per 10,000 practise 22 author per 10,000 0 dialect per 10,000 joy 22 author per 10,000 1 dialect per 10,000 ode 22 author per 10,000 0 dialect per 10,000 recorder 22 author per 10,000 0 dialect per 10,000 skweel 22 author per 10,000 0 dialect per 10,000 stuck 22 author per 10,000 0 dialect per 10,000 starin 22 author per 10,000 0 dialect per 10,000 unner 22 author per 10,000 3 dialect per 10,000 wardrobe 22 author per 10,000 0 dialect per 10,000 widden 22 author per 10,000 0 dialect per 10,000 howk 22 author per 10,000 0 dialect per 10,000 nivver 22 author per 10,000 0 dialect per 10,000 jim 22 author per 10,000 0 dialect per 10,000 belle 22 author per 10,000 0 dialect per 10,000 plus 22 author per 10,000 0 dialect per 10,000 place 22 author per 10,000 7 dialect per 10,000 du 22 author per 10,000 0 dialect per 10,000 tears 22 author per 10,000 1 dialect per 10,000 monde 22 author per 10,000 0 dialect per 10,000 la 22 author per 10,000 0 dialect per 10,000 sur 22 author per 10,000 0 dialect per 10,000 see 22 author per 10,000 16 dialect per 10,000 faimlie 22 author per 10,000 1 dialect per 10,000 le 22 author per 10,000 0 dialect per 10,000 tapis 22 author per 10,000 0 dialect per 10,000 fleurs 22 author per 10,000 0 dialect per 10,000 de 22 author per 10,000 0 dialect per 10,000 twins 22 author per 10,000 0 dialect per 10,000 hidnae 22 author per 10,000 0 dialect per 10,000 oors 22 author per 10,000 1 dialect per 10,000 waited 22 author per 10,000 0 dialect per 10,000 disputin 22 author per 10,000 0 dialect per 10,000 foo 22 author per 10,000 0 dialect per 10,000 redundancy 22 author per 10,000 0 dialect per 10,000 deal 22 author per 10,000 0 dialect per 10,000 jeanne 22 author per 10,000 0 dialect per 10,000 sae 22 author per 10,000 25 dialect per 10,000 bug 22 author per 10,000 0 dialect per 10,000 taen 22 author per 10,000 3 dialect per 10,000 planes 22 author per 10,000 0 dialect per 10,000 been 22 author per 10,000 2 dialect per 10,000 delayed 22 author per 10,000 0 dialect per 10,000 hale 22 author per 10,000 8 dialect per 10,000 wid 22 author per 10,000 1 dialect per 10,000 roon 22 author per 10,000 10 dialect per 10,000 rustlin 22 author per 10,000 0 dialect per 10,000 scraps 22 author per 10,000 0 dialect per 10,000 heather 22 author per 10,000 0 dialect per 10,000 yeesed 22 author per 10,000 0 dialect per 10,000 least 22 author per 10,000 1 dialect per 10,000 whiskers 22 author per 10,000 0 dialect per 10,000 peelie-wallie 22 author per 10,000 0 dialect per 10,000 sma 22 author per 10,000 0 dialect per 10,000 stretch 22 author per 10,000 0 dialect per 10,000 weet 22 author per 10,000 0 dialect per 10,000 black 22 author per 10,000 0 dialect per 10,000 brolly 22 author per 10,000 0 dialect per 10,000 €™t 22 author per 10,000 2 dialect per 10,000 doctor 22 author per 10,000 1 dialect per 10,000 brogues 22 author per 10,000 0 dialect per 10,000 bracken 22 author per 10,000 0 dialect per 10,000 khaki 22 author per 10,000 0 dialect per 10,000 regiments 22 author per 10,000 0 dialect per 10,000 braeheid 22 author per 10,000 0 dialect per 10,000 reached 22 author per 10,000 1 dialect per 10,000 through 22 author per 10,000 3 dialect per 10,000 spangin 22 author per 10,000 0 dialect per 10,000 ontae 22 author per 10,000 1 dialect per 10,000 haddin 22 author per 10,000 0 dialect per 10,000 hat 22 author per 10,000 0 dialect per 10,000 belted 22 author per 10,000 0 dialect per 10,000 gabardine 22 author per 10,000 0 dialect per 10,000 stappit 22 author per 10,000 0 dialect per 10,000 me 22 author per 10,000 24 dialect per 10,000 yon 22 author per 10,000 0 dialect per 10,000 joukin 22 author per 10,000 0 dialect per 10,000 warehoos 22 author per 10,000 0 dialect per 10,000 gadgie 22 author per 10,000 0 dialect per 10,000 coat 22 author per 10,000 1 dialect per 10,000