A Corpus of 21st Century Scots Texts

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Storrie Lewis, Jean


Total words by this author in corpus - 1,884
Total unique words used by this author in corpus - 649
Ratio of total words to unique words - 2.903
Top ten most common words - the, i, a, wis, tae, and, in, o, he, that,

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 525 author per 10,000 565 dialect per 10,000 i 425 author per 10,000 40 dialect per 10,000 a 318 author per 10,000 266 dialect per 10,000 wis 308 author per 10,000 96 dialect per 10,000 tae 276 author per 10,000 211 dialect per 10,000 and 255 author per 10,000 94 dialect per 10,000 in 180 author per 10,000 147 dialect per 10,000 o 149 author per 10,000 183 dialect per 10,000 he 127 author per 10,000 85 dialect per 10,000 that 111 author per 10,000 106 dialect per 10,000 wi 101 author per 10,000 67 dialect per 10,000 my 96 author per 10,000 6 dialect per 10,000 his 85 author per 10,000 58 dialect per 10,000 me 85 author per 10,000 40 dialect per 10,000 ye 80 author per 10,000 62 dialect per 10,000 €“ 80 author per 10,000 5 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 116 dialect per 10,000 on 74 author per 10,000 54 dialect per 10,000 aa 69 author per 10,000 14 dialect per 10,000 an 69 author per 10,000 224 dialect per 10,000 but 69 author per 10,000 48 dialect per 10,000 up 64 author per 10,000 40 dialect per 10,000 fit 64 author per 10,000 2 dialect per 10,000 weel 58 author per 10,000 10 dialect per 10,000 auld 58 author per 10,000 14 dialect per 10,000 be 53 author per 10,000 48 dialect per 10,000 at 48 author per 10,000 59 dialect per 10,000 as 48 author per 10,000 59 dialect per 10,000 €™d 48 author per 10,000 6 dialect per 10,000 thocht 48 author per 10,000 8 dialect per 10,000 nae 48 author per 10,000 24 dialect per 10,000 wid 48 author per 10,000 8 dialect per 10,000 dad 48 author per 10,000 1 dialect per 10,000 oot 48 author per 10,000 40 dialect per 10,000 gaed 42 author per 10,000 5 dialect per 10,000 day 42 author per 10,000 14 dialect per 10,000 for 42 author per 10,000 47 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 27 dialect per 10,000 fan 42 author per 10,000 0 dialect per 10,000 hae 37 author per 10,000 22 dialect per 10,000 afore 37 author per 10,000 10 dialect per 10,000 so 37 author per 10,000 10 dialect per 10,000 haed 37 author per 10,000 6 dialect per 10,000 ae 37 author per 10,000 25 dialect per 10,000 like 37 author per 10,000 29 dialect per 10,000 tak 37 author per 10,000 8 dialect per 10,000 are 37 author per 10,000 17 dialect per 10,000 richt 37 author per 10,000 12 dialect per 10,000 kent 37 author per 10,000 6 dialect per 10,000 wee 37 author per 10,000 30 dialect per 10,000 aye 32 author per 10,000 16 dialect per 10,000 aff 32 author per 10,000 14 dialect per 10,000 juist 32 author per 10,000 8 dialect per 10,000 € 32 author per 10,000 22 dialect per 10,000 she 32 author per 10,000 56 dialect per 10,000 them 32 author per 10,000 17 dialect per 10,000 get 32 author per 10,000 15 dialect per 10,000 gey 32 author per 10,000 5 dialect per 10,000 wey 32 author per 10,000 12 dialect per 10,000 this 32 author per 10,000 41 dialect per 10,000 got 32 author per 10,000 11 dialect per 10,000 fine 32 author per 10,000 3 dialect per 10,000 dae 27 author per 10,000 17 dialect per 10,000 were 27 author per 10,000 15 dialect per 10,000 mowdie 27 author per 10,000 0 dialect per 10,000 awa 27 author per 10,000 12 dialect per 10,000 dee 27 author per 10,000 1 dialect per 10,000 aboot 27 author per 10,000 29 dialect per 10,000 €™s 27 author per 10,000 32 dialect per 10,000 dod 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 29 dialect per 10,000 far 27 author per 10,000 2 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 glen 27 author per 10,000 1 dialect per 10,000 never 27 author per 10,000 6 dialect per 10,000 sae 27 author per 10,000 16 dialect per 10,000 mind 27 author per 10,000 8 dialect per 10,000 pit 27 author per 10,000 8 dialect per 10,000 guid 21 author per 10,000 11 dialect per 10,000 ower 21 author per 10,000 19 dialect per 10,000 said 21 author per 10,000 39 dialect per 10,000 quines 21 author per 10,000 0 dialect per 10,000 awfu 21 author per 10,000 1 dialect per 10,000 fa 21 author per 10,000 0 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 end 21 author per 10,000 4 dialect per 10,000 jist 21 author per 10,000 20 dialect per 10,000 fou 21 author per 10,000 1 dialect per 10,000 made 21 author per 10,000 7 dialect per 10,000 telt 21 author per 10,000 5 dialect per 10,000 een 21 author per 10,000 5 dialect per 10,000 dancin 21 author per 10,000 1 dialect per 10,000 her 21 author per 10,000 46 dialect per 10,000 nicht 21 author per 10,000 6 dialect per 10,000 bittie 21 author per 10,000 1 dialect per 10,000 aside 21 author per 10,000 1 dialect per 10,000 yer 16 author per 10,000 20 dialect per 10,000 lyin 16 author per 10,000 1 dialect per 10,000 there 16 author per 10,000 23 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 14 dialect per 10,000 sittin 16 author per 10,000 3 dialect per 10,000 fu 16 author per 10,000 1 dialect per 10,000 left 16 author per 10,000 5 dialect per 10,000 help 16 author per 10,000 4 dialect per 10,000 strae 16 author per 10,000 0 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 58 dialect per 10,000 says 16 author per 10,000 7 dialect per 10,000 alang 16 author per 10,000 4 dialect per 10,000 ma 16 author per 10,000 52 dialect per 10,000 tell 16 author per 10,000 8 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 fairm 16 author per 10,000 0 dialect per 10,000 ither 16 author per 10,000 11 dialect per 10,000 speak 16 author per 10,000 2 dialect per 10,000 him 16 author per 10,000 28 dialect per 10,000 thare 16 author per 10,000 2 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 0 dialect per 10,000 doun 16 author per 10,000 6 dialect per 10,000 work 16 author per 10,000 2 dialect per 10,000 gie 16 author per 10,000 7 dialect per 10,000 owre 16 author per 10,000 2 dialect per 10,000 gat 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 6 dialect per 10,000 Β£ 16 author per 10,000 1 dialect per 10,000 keepit 16 author per 10,000 0 dialect per 10,000 gaen 16 author per 10,000 0 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 3 dialect per 10,000 could 11 author per 10,000 9 dialect per 10,000 cam 11 author per 10,000 8 dialect per 10,000 we 11 author per 10,000 34 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 6 dialect per 10,000 de 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 2 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 10,000 4 dialect per 10,000 traps 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 4 dialect per 10,000 ago 11 author per 10,000 1 dialect per 10,000 widna 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 14 dialect per 10,000 lookin 11 author per 10,000 3 dialect per 10,000 nou 11 author per 10,000 6 dialect per 10,000 stannin 11 author per 10,000 0 dialect per 10,000 thae 11 author per 10,000 6 dialect per 10,000 spade 11 author per 10,000 0 dialect per 10,000 fields 11 author per 10,000 1 dialect per 10,000 onie 11 author per 10,000 3 dialect per 10,000 case 11 author per 10,000 2 dialect per 10,000 dinna 11 author per 10,000 4 dialect per 10,000 will 11 author per 10,000 10 dialect per 10,000 buit 11 author per 10,000 0 dialect per 10,000 man 11 author per 10,000 11 dialect per 10,000 mercy 11 author per 10,000 0 dialect per 10,000 thinkin 11 author per 10,000 2 dialect per 10,000 should 11 author per 10,000 3 dialect per 10,000 airmy 11 author per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 1 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 3 dialect per 10,000 loon 11 author per 10,000 0 dialect per 10,000 gied 11 author per 10,000 5 dialect per 10,000 wanted 11 author per 10,000 1 dialect per 10,000 thair 11 author per 10,000 7 dialect per 10,000 hid 11 author per 10,000 2 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 you 11 author per 10,000 15 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 1 dialect per 10,000 thegither 11 author per 10,000 3 dialect per 10,000 i'd 11 author per 10,000 1 dialect per 10,000 growin 11 author per 10,000 1 dialect per 10,000 bonnie 11 author per 10,000 2 dialect per 10,000 kin 11 author per 10,000 6 dialect per 10,000 roll 11 author per 10,000 0 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 11 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 5 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 1 dialect per 10,000 back 11 author per 10,000 21 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 3 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000 		Doric
the 525 author per 10,000 451 dialect per 10,000 i 425 author per 10,000 67 dialect per 10,000 a 318 author per 10,000 315 dialect per 10,000 wis 308 author per 10,000 104 dialect per 10,000 tae 276 author per 10,000 171 dialect per 10,000 and 255 author per 10,000 41 dialect per 10,000 in 180 author per 10,000 131 dialect per 10,000 o 149 author per 10,000 175 dialect per 10,000 he 127 author per 10,000 96 dialect per 10,000 that 111 author per 10,000 53 dialect per 10,000 wi 101 author per 10,000 77 dialect per 10,000 my 96 author per 10,000 11 dialect per 10,000 his 85 author per 10,000 69 dialect per 10,000 me 85 author per 10,000 32 dialect per 10,000 ye 80 author per 10,000 94 dialect per 10,000 €“ 80 author per 10,000 6 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 99 dialect per 10,000 on 74 author per 10,000 67 dialect per 10,000 aa 69 author per 10,000 43 dialect per 10,000 an 69 author per 10,000 304 dialect per 10,000 but 69 author per 10,000 25 dialect per 10,000 up 64 author per 10,000 47 dialect per 10,000 fit 64 author per 10,000 40 dialect per 10,000 weel 58 author per 10,000 19 dialect per 10,000 auld 58 author per 10,000 8 dialect per 10,000 be 53 author per 10,000 45 dialect per 10,000 at 48 author per 10,000 67 dialect per 10,000 as 48 author per 10,000 52 dialect per 10,000 €™d 48 author per 10,000 9 dialect per 10,000 thocht 48 author per 10,000 14 dialect per 10,000 nae 48 author per 10,000 51 dialect per 10,000 wid 48 author per 10,000 18 dialect per 10,000 dad 48 author per 10,000 1 dialect per 10,000 oot 48 author per 10,000 50 dialect per 10,000 gaed 42 author per 10,000 8 dialect per 10,000 day 42 author per 10,000 26 dialect per 10,000 for 42 author per 10,000 46 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 28 dialect per 10,000 fan 42 author per 10,000 17 dialect per 10,000 hae 37 author per 10,000 20 dialect per 10,000 afore 37 author per 10,000 14 dialect per 10,000 so 37 author per 10,000 18 dialect per 10,000 haed 37 author per 10,000 3 dialect per 10,000 ae 37 author per 10,000 7 dialect per 10,000 like 37 author per 10,000 37 dialect per 10,000 tak 37 author per 10,000 10 dialect per 10,000 are 37 author per 10,000 14 dialect per 10,000 richt 37 author per 10,000 19 dialect per 10,000 kent 37 author per 10,000 8 dialect per 10,000 wee 37 author per 10,000 18 dialect per 10,000 aye 32 author per 10,000 22 dialect per 10,000 aff 32 author per 10,000 14 dialect per 10,000 juist 32 author per 10,000 1 dialect per 10,000 € 32 author per 10,000 16 dialect per 10,000 she 32 author per 10,000 65 dialect per 10,000 them 32 author per 10,000 23 dialect per 10,000 get 32 author per 10,000 16 dialect per 10,000 gey 32 author per 10,000 3 dialect per 10,000 wey 32 author per 10,000 3 dialect per 10,000 this 32 author per 10,000 19 dialect per 10,000 got 32 author per 10,000 14 dialect per 10,000 fine 32 author per 10,000 11 dialect per 10,000 dae 27 author per 10,000 5 dialect per 10,000 were 27 author per 10,000 13 dialect per 10,000 mowdie 27 author per 10,000 0 dialect per 10,000 awa 27 author per 10,000 21 dialect per 10,000 dee 27 author per 10,000 10 dialect per 10,000 aboot 27 author per 10,000 33 dialect per 10,000 €™s 27 author per 10,000 21 dialect per 10,000 dod 27 author per 10,000 1 dialect per 10,000 or 27 author per 10,000 26 dialect per 10,000 far 27 author per 10,000 14 dialect per 10,000 year 27 author per 10,000 5 dialect per 10,000 glen 27 author per 10,000 0 dialect per 10,000 never 27 author per 10,000 2 dialect per 10,000 sae 27 author per 10,000 14 dialect per 10,000 mind 27 author per 10,000 5 dialect per 10,000 pit 27 author per 10,000 9 dialect per 10,000 guid 21 author per 10,000 4 dialect per 10,000 ower 21 author per 10,000 30 dialect per 10,000 said 21 author per 10,000 35 dialect per 10,000 quines 21 author per 10,000 2 dialect per 10,000 awfu 21 author per 10,000 0 dialect per 10,000 fa 21 author per 10,000 9 dialect per 10,000 affa 21 author per 10,000 12 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 1 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 end 21 author per 10,000 2 dialect per 10,000 jist 21 author per 10,000 36 dialect per 10,000 fou 21 author per 10,000 1 dialect per 10,000 made 21 author per 10,000 8 dialect per 10,000 telt 21 author per 10,000 8 dialect per 10,000 een 21 author per 10,000 19 dialect per 10,000 dancin 21 author per 10,000 0 dialect per 10,000 her 21 author per 10,000 63 dialect per 10,000 nicht 21 author per 10,000 12 dialect per 10,000 bittie 21 author per 10,000 5 dialect per 10,000 aside 21 author per 10,000 3 dialect per 10,000 yer 16 author per 10,000 36 dialect per 10,000 lyin 16 author per 10,000 1 dialect per 10,000 there 16 author per 10,000 22 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 12 dialect per 10,000 sittin 16 author per 10,000 3 dialect per 10,000 fu 16 author per 10,000 1 dialect per 10,000 left 16 author per 10,000 5 dialect per 10,000 help 16 author per 10,000 4 dialect per 10,000 strae 16 author per 10,000 1 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 39 dialect per 10,000 says 16 author per 10,000 10 dialect per 10,000 alang 16 author per 10,000 2 dialect per 10,000 ma 16 author per 10,000 50 dialect per 10,000 tell 16 author per 10,000 9 dialect per 10,000 if 16 author per 10,000 16 dialect per 10,000 side 16 author per 10,000 5 dialect per 10,000 fairm 16 author per 10,000 1 dialect per 10,000 ither 16 author per 10,000 8 dialect per 10,000 speak 16 author per 10,000 1 dialect per 10,000 him 16 author per 10,000 30 dialect per 10,000 thare 16 author per 10,000 1 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 1 dialect per 10,000 doun 16 author per 10,000 2 dialect per 10,000 work 16 author per 10,000 2 dialect per 10,000 gie 16 author per 10,000 7 dialect per 10,000 owre 16 author per 10,000 1 dialect per 10,000 gat 16 author per 10,000 2 dialect per 10,000 same 16 author per 10,000 5 dialect per 10,000 Β£ 16 author per 10,000 1 dialect per 10,000 keepit 16 author per 10,000 1 dialect per 10,000 gaen 16 author per 10,000 1 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 3 dialect per 10,000 could 11 author per 10,000 8 dialect per 10,000 cam 11 author per 10,000 12 dialect per 10,000 we 11 author per 10,000 33 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 8 dialect per 10,000 de 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 0 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 10,000 4 dialect per 10,000 traps 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 2 dialect per 10,000 ago 11 author per 10,000 1 dialect per 10,000 widna 11 author per 10,000 4 dialect per 10,000 ken 11 author per 10,000 23 dialect per 10,000 lookin 11 author per 10,000 3 dialect per 10,000 nou 11 author per 10,000 1 dialect per 10,000 stannin 11 author per 10,000 2 dialect per 10,000 thae 11 author per 10,000 1 dialect per 10,000 spade 11 author per 10,000 0 dialect per 10,000 fields 11 author per 10,000 0 dialect per 10,000 onie 11 author per 10,000 0 dialect per 10,000 case 11 author per 10,000 1 dialect per 10,000 dinna 11 author per 10,000 16 dialect per 10,000 will 11 author per 10,000 10 dialect per 10,000 buit 11 author per 10,000 0 dialect per 10,000 man 11 author per 10,000 7 dialect per 10,000 mercy 11 author per 10,000 1 dialect per 10,000 thinkin 11 author per 10,000 2 dialect per 10,000 should 11 author per 10,000 3 dialect per 10,000 airmy 11 author per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 1 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 1 dialect per 10,000 loon 11 author per 10,000 7 dialect per 10,000 gied 11 author per 10,000 5 dialect per 10,000 wanted 11 author per 10,000 0 dialect per 10,000 thair 11 author per 10,000 1 dialect per 10,000 hid 11 author per 10,000 33 dialect per 10,000 wye 11 author per 10,000 11 dialect per 10,000 you 11 author per 10,000 18 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 1 dialect per 10,000 thegither 11 author per 10,000 2 dialect per 10,000 i'd 11 author per 10,000 2 dialect per 10,000 growin 11 author per 10,000 1 dialect per 10,000 bonnie 11 author per 10,000 4 dialect per 10,000 kin 11 author per 10,000 3 dialect per 10,000 roll 11 author per 10,000 0 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 1 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 6 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 3 dialect per 10,000 back 11 author per 10,000 21 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 3 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000
Shetland
the 525 author per 10,000 18 dialect per 10,000 i 425 author per 10,000 143 dialect per 10,000 a 318 author per 10,000 280 dialect per 10,000 wis 308 author per 10,000 162 dialect per 10,000 tae 276 author per 10,000 86 dialect per 10,000 and 255 author per 10,000 15 dialect per 10,000 in 180 author per 10,000 105 dialect per 10,000 o 149 author per 10,000 177 dialect per 10,000 he 127 author per 10,000 103 dialect per 10,000 that 111 author per 10,000 4 dialect per 10,000 wi 101 author per 10,000 95 dialect per 10,000 my 96 author per 10,000 23 dialect per 10,000 his 85 author per 10,000 52 dialect per 10,000 me 85 author per 10,000 41 dialect per 10,000 ye 80 author per 10,000 0 dialect per 10,000 €“ 80 author per 10,000 2 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 58 dialect per 10,000 on 74 author per 10,000 52 dialect per 10,000 aa 69 author per 10,000 51 dialect per 10,000 an 69 author per 10,000 330 dialect per 10,000 but 69 author per 10,000 29 dialect per 10,000 up 64 author per 10,000 42 dialect per 10,000 fit 64 author per 10,000 4 dialect per 10,000 weel 58 author per 10,000 18 dialect per 10,000 auld 58 author per 10,000 1 dialect per 10,000 be 53 author per 10,000 56 dialect per 10,000 at 48 author per 10,000 112 dialect per 10,000 as 48 author per 10,000 79 dialect per 10,000 €™d 48 author per 10,000 2 dialect per 10,000 thocht 48 author per 10,000 0 dialect per 10,000 nae 48 author per 10,000 23 dialect per 10,000 wid 48 author per 10,000 38 dialect per 10,000 dad 48 author per 10,000 2 dialect per 10,000 oot 48 author per 10,000 42 dialect per 10,000 gaed 42 author per 10,000 0 dialect per 10,000 day 42 author per 10,000 18 dialect per 10,000 for 42 author per 10,000 35 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 53 dialect per 10,000 fan 42 author per 10,000 6 dialect per 10,000 hae 37 author per 10,000 25 dialect per 10,000 afore 37 author per 10,000 15 dialect per 10,000 so 37 author per 10,000 26 dialect per 10,000 haed 37 author per 10,000 3 dialect per 10,000 ae 37 author per 10,000 1 dialect per 10,000 like 37 author per 10,000 2 dialect per 10,000 tak 37 author per 10,000 12 dialect per 10,000 are 37 author per 10,000 2 dialect per 10,000 richt 37 author per 10,000 13 dialect per 10,000 kent 37 author per 10,000 10 dialect per 10,000 wee 37 author per 10,000 0 dialect per 10,000 aye 32 author per 10,000 11 dialect per 10,000 aff 32 author per 10,000 18 dialect per 10,000 juist 32 author per 10,000 8 dialect per 10,000 € 32 author per 10,000 17 dialect per 10,000 she 32 author per 10,000 7 dialect per 10,000 them 32 author per 10,000 1 dialect per 10,000 get 32 author per 10,000 6 dialect per 10,000 gey 32 author per 10,000 0 dialect per 10,000 wey 32 author per 10,000 0 dialect per 10,000 this 32 author per 10,000 1 dialect per 10,000 got 32 author per 10,000 8 dialect per 10,000 fine 32 author per 10,000 7 dialect per 10,000 dae 27 author per 10,000 2 dialect per 10,000 were 27 author per 10,000 3 dialect per 10,000 mowdie 27 author per 10,000 0 dialect per 10,000 awa 27 author per 10,000 13 dialect per 10,000 dee 27 author per 10,000 21 dialect per 10,000 aboot 27 author per 10,000 41 dialect per 10,000 €™s 27 author per 10,000 15 dialect per 10,000 dod 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 32 dialect per 10,000 far 27 author per 10,000 5 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 glen 27 author per 10,000 0 dialect per 10,000 never 27 author per 10,000 7 dialect per 10,000 sae 27 author per 10,000 8 dialect per 10,000 mind 27 author per 10,000 10 dialect per 10,000 pit 27 author per 10,000 6 dialect per 10,000 guid 21 author per 10,000 12 dialect per 10,000 ower 21 author per 10,000 24 dialect per 10,000 said 21 author per 10,000 61 dialect per 10,000 quines 21 author per 10,000 0 dialect per 10,000 awfu 21 author per 10,000 0 dialect per 10,000 fa 21 author per 10,000 0 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 1 dialect per 10,000 efter 21 author per 10,000 9 dialect per 10,000 end 21 author per 10,000 5 dialect per 10,000 jist 21 author per 10,000 0 dialect per 10,000 fou 21 author per 10,000 0 dialect per 10,000 made 21 author per 10,000 1 dialect per 10,000 telt 21 author per 10,000 7 dialect per 10,000 een 21 author per 10,000 20 dialect per 10,000 dancin 21 author per 10,000 0 dialect per 10,000 her 21 author per 10,000 64 dialect per 10,000 nicht 21 author per 10,000 3 dialect per 10,000 bittie 21 author per 10,000 0 dialect per 10,000 aside 21 author per 10,000 3 dialect per 10,000 yer 16 author per 10,000 0 dialect per 10,000 lyin 16 author per 10,000 2 dialect per 10,000 there 16 author per 10,000 1 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 20 dialect per 10,000 sittin 16 author per 10,000 2 dialect per 10,000 fu 16 author per 10,000 0 dialect per 10,000 left 16 author per 10,000 5 dialect per 10,000 help 16 author per 10,000 3 dialect per 10,000 strae 16 author per 10,000 0 dialect per 10,000 maybe 16 author per 10,000 4 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 81 dialect per 10,000 says 16 author per 10,000 5 dialect per 10,000 alang 16 author per 10,000 6 dialect per 10,000 ma 16 author per 10,000 0 dialect per 10,000 tell 16 author per 10,000 8 dialect per 10,000 if 16 author per 10,000 25 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 fairm 16 author per 10,000 0 dialect per 10,000 ither 16 author per 10,000 0 dialect per 10,000 speak 16 author per 10,000 0 dialect per 10,000 him 16 author per 10,000 47 dialect per 10,000 thare 16 author per 10,000 0 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 3 dialect per 10,000 doun 16 author per 10,000 0 dialect per 10,000 work 16 author per 10,000 0 dialect per 10,000 gie 16 author per 10,000 9 dialect per 10,000 owre 16 author per 10,000 2 dialect per 10,000 gat 16 author per 10,000 0 dialect per 10,000 same 16 author per 10,000 0 dialect per 10,000 Β£ 16 author per 10,000 0 dialect per 10,000 keepit 16 author per 10,000 2 dialect per 10,000 gaen 16 author per 10,000 0 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 could 11 author per 10,000 12 dialect per 10,000 cam 11 author per 10,000 22 dialect per 10,000 we 11 author per 10,000 44 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 7 dialect per 10,000 de 11 author per 10,000 5 dialect per 10,000 fund 11 author per 10,000 0 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 10,000 0 dialect per 10,000 traps 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 5 dialect per 10,000 ago 11 author per 10,000 2 dialect per 10,000 widna 11 author per 10,000 5 dialect per 10,000 ken 11 author per 10,000 14 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 nou 11 author per 10,000 0 dialect per 10,000 stannin 11 author per 10,000 0 dialect per 10,000 thae 11 author per 10,000 0 dialect per 10,000 spade 11 author per 10,000 0 dialect per 10,000 fields 11 author per 10,000 0 dialect per 10,000 onie 11 author per 10,000 0 dialect per 10,000 case 11 author per 10,000 1 dialect per 10,000 dinna 11 author per 10,000 0 dialect per 10,000 will 11 author per 10,000 9 dialect per 10,000 buit 11 author per 10,000 0 dialect per 10,000 man 11 author per 10,000 17 dialect per 10,000 mercy 11 author per 10,000 1 dialect per 10,000 thinkin 11 author per 10,000 0 dialect per 10,000 should 11 author per 10,000 1 dialect per 10,000 airmy 11 author per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 1 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 2 dialect per 10,000 loon 11 author per 10,000 0 dialect per 10,000 gied 11 author per 10,000 8 dialect per 10,000 wanted 11 author per 10,000 1 dialect per 10,000 thair 11 author per 10,000 0 dialect per 10,000 hid 11 author per 10,000 1 dialect per 10,000 wye 11 author per 10,000 24 dialect per 10,000 you 11 author per 10,000 51 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 0 dialect per 10,000 thegither 11 author per 10,000 0 dialect per 10,000 i'd 11 author per 10,000 1 dialect per 10,000 growin 11 author per 10,000 1 dialect per 10,000 bonnie 11 author per 10,000 0 dialect per 10,000 kin 11 author per 10,000 1 dialect per 10,000 roll 11 author per 10,000 0 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 7 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 0 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 2 dialect per 10,000 back 11 author per 10,000 18 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 0 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000 		Orkney
the 525 author per 10,000 582 dialect per 10,000 i 425 author per 10,000 158 dialect per 10,000 a 318 author per 10,000 298 dialect per 10,000 wis 308 author per 10,000 80 dialect per 10,000 tae 276 author per 10,000 223 dialect per 10,000 and 255 author per 10,000 199 dialect per 10,000 in 180 author per 10,000 146 dialect per 10,000 o 149 author per 10,000 202 dialect per 10,000 he 127 author per 10,000 85 dialect per 10,000 that 111 author per 10,000 75 dialect per 10,000 wi 101 author per 10,000 46 dialect per 10,000 my 96 author per 10,000 5 dialect per 10,000 his 85 author per 10,000 61 dialect per 10,000 me 85 author per 10,000 115 dialect per 10,000 ye 80 author per 10,000 17 dialect per 10,000 €“ 80 author per 10,000 13 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 23 dialect per 10,000 on 74 author per 10,000 73 dialect per 10,000 aa 69 author per 10,000 8 dialect per 10,000 an 69 author per 10,000 172 dialect per 10,000 but 69 author per 10,000 28 dialect per 10,000 up 64 author per 10,000 34 dialect per 10,000 fit 64 author per 10,000 1 dialect per 10,000 weel 58 author per 10,000 17 dialect per 10,000 auld 58 author per 10,000 1 dialect per 10,000 be 53 author per 10,000 42 dialect per 10,000 at 48 author per 10,000 54 dialect per 10,000 as 48 author per 10,000 48 dialect per 10,000 €™d 48 author per 10,000 2 dialect per 10,000 thocht 48 author per 10,000 0 dialect per 10,000 nae 48 author per 10,000 3 dialect per 10,000 wid 48 author per 10,000 20 dialect per 10,000 dad 48 author per 10,000 1 dialect per 10,000 oot 48 author per 10,000 50 dialect per 10,000 gaed 42 author per 10,000 9 dialect per 10,000 day 42 author per 10,000 20 dialect per 10,000 for 42 author per 10,000 26 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 76 dialect per 10,000 fan 42 author per 10,000 0 dialect per 10,000 hae 37 author per 10,000 11 dialect per 10,000 afore 37 author per 10,000 12 dialect per 10,000 so 37 author per 10,000 30 dialect per 10,000 haed 37 author per 10,000 7 dialect per 10,000 ae 37 author per 10,000 1 dialect per 10,000 like 37 author per 10,000 31 dialect per 10,000 tak 37 author per 10,000 12 dialect per 10,000 are 37 author per 10,000 14 dialect per 10,000 richt 37 author per 10,000 0 dialect per 10,000 kent 37 author per 10,000 6 dialect per 10,000 wee 37 author per 10,000 1 dialect per 10,000 aye 32 author per 10,000 9 dialect per 10,000 aff 32 author per 10,000 8 dialect per 10,000 juist 32 author per 10,000 0 dialect per 10,000 € 32 author per 10,000 5 dialect per 10,000 she 32 author per 10,000 9 dialect per 10,000 them 32 author per 10,000 18 dialect per 10,000 get 32 author per 10,000 9 dialect per 10,000 gey 32 author per 10,000 3 dialect per 10,000 wey 32 author per 10,000 10 dialect per 10,000 this 32 author per 10,000 34 dialect per 10,000 got 32 author per 10,000 11 dialect per 10,000 fine 32 author per 10,000 7 dialect per 10,000 dae 27 author per 10,000 10 dialect per 10,000 were 27 author per 10,000 6 dialect per 10,000 mowdie 27 author per 10,000 0 dialect per 10,000 awa 27 author per 10,000 1 dialect per 10,000 dee 27 author per 10,000 1 dialect per 10,000 aboot 27 author per 10,000 26 dialect per 10,000 €™s 27 author per 10,000 17 dialect per 10,000 dod 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 30 dialect per 10,000 far 27 author per 10,000 4 dialect per 10,000 year 27 author per 10,000 7 dialect per 10,000 glen 27 author per 10,000 0 dialect per 10,000 never 27 author per 10,000 3 dialect per 10,000 sae 27 author per 10,000 1 dialect per 10,000 mind 27 author per 10,000 9 dialect per 10,000 pit 27 author per 10,000 5 dialect per 10,000 guid 21 author per 10,000 2 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 said 21 author per 10,000 15 dialect per 10,000 quines 21 author per 10,000 0 dialect per 10,000 awfu 21 author per 10,000 0 dialect per 10,000 fa 21 author per 10,000 0 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 6 dialect per 10,000 end 21 author per 10,000 7 dialect per 10,000 jist 21 author per 10,000 3 dialect per 10,000 fou 21 author per 10,000 0 dialect per 10,000 made 21 author per 10,000 3 dialect per 10,000 telt 21 author per 10,000 4 dialect per 10,000 een 21 author per 10,000 4 dialect per 10,000 dancin 21 author per 10,000 0 dialect per 10,000 her 21 author per 10,000 49 dialect per 10,000 nicht 21 author per 10,000 0 dialect per 10,000 bittie 21 author per 10,000 1 dialect per 10,000 aside 21 author per 10,000 2 dialect per 10,000 yer 16 author per 10,000 7 dialect per 10,000 lyin 16 author per 10,000 0 dialect per 10,000 there 16 author per 10,000 18 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 13 dialect per 10,000 sittin 16 author per 10,000 0 dialect per 10,000 fu 16 author per 10,000 0 dialect per 10,000 left 16 author per 10,000 6 dialect per 10,000 help 16 author per 10,000 2 dialect per 10,000 strae 16 author per 10,000 1 dialect per 10,000 maybe 16 author per 10,000 0 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 71 dialect per 10,000 says 16 author per 10,000 15 dialect per 10,000 alang 16 author per 10,000 1 dialect per 10,000 ma 16 author per 10,000 1 dialect per 10,000 tell 16 author per 10,000 6 dialect per 10,000 if 16 author per 10,000 15 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 fairm 16 author per 10,000 0 dialect per 10,000 ither 16 author per 10,000 9 dialect per 10,000 speak 16 author per 10,000 1 dialect per 10,000 him 16 author per 10,000 21 dialect per 10,000 thare 16 author per 10,000 0 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 0 dialect per 10,000 doun 16 author per 10,000 0 dialect per 10,000 work 16 author per 10,000 2 dialect per 10,000 gie 16 author per 10,000 2 dialect per 10,000 owre 16 author per 10,000 1 dialect per 10,000 gat 16 author per 10,000 0 dialect per 10,000 same 16 author per 10,000 3 dialect per 10,000 Β£ 16 author per 10,000 0 dialect per 10,000 keepit 16 author per 10,000 0 dialect per 10,000 gaen 16 author per 10,000 2 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 could 11 author per 10,000 13 dialect per 10,000 cam 11 author per 10,000 8 dialect per 10,000 we 11 author per 10,000 29 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 8 dialect per 10,000 de 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 4 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 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per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 1 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 0 dialect per 10,000 loon 11 author per 10,000 0 dialect per 10,000 gied 11 author per 10,000 2 dialect per 10,000 wanted 11 author per 10,000 1 dialect per 10,000 thair 11 author per 10,000 1 dialect per 10,000 hid 11 author per 10,000 91 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 you 11 author per 10,000 35 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 0 dialect per 10,000 thegither 11 author per 10,000 0 dialect per 10,000 i'd 11 author per 10,000 4 dialect per 10,000 growin 11 author per 10,000 0 dialect per 10,000 bonnie 11 author per 10,000 2 dialect per 10,000 kin 11 author per 10,000 1 dialect per 10,000 roll 11 author per 10,000 1 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 8 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 4 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 1 dialect per 10,000 back 11 author per 10,000 26 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 0 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000
Southern
the 525 author per 10,000 449 dialect per 10,000 i 425 author per 10,000 74 dialect per 10,000 a 318 author per 10,000 230 dialect per 10,000 wis 308 author per 10,000 54 dialect per 10,000 tae 276 author per 10,000 206 dialect per 10,000 and 255 author per 10,000 33 dialect per 10,000 in 180 author per 10,000 107 dialect per 10,000 o 149 author per 10,000 200 dialect per 10,000 he 127 author per 10,000 12 dialect per 10,000 that 111 author per 10,000 65 dialect per 10,000 wi 101 author per 10,000 66 dialect per 10,000 my 96 author per 10,000 1 dialect per 10,000 his 85 author per 10,000 37 dialect per 10,000 me 85 author per 10,000 16 dialect per 10,000 ye 80 author per 10,000 21 dialect per 10,000 €“ 80 author per 10,000 5 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 63 dialect per 10,000 on 74 author per 10,000 55 dialect per 10,000 aa 69 author per 10,000 10 dialect per 10,000 an 69 author per 10,000 289 dialect per 10,000 but 69 author per 10,000 42 dialect per 10,000 up 64 author per 10,000 41 dialect per 10,000 fit 64 author per 10,000 5 dialect per 10,000 weel 58 author per 10,000 4 dialect per 10,000 auld 58 author per 10,000 22 dialect per 10,000 be 53 author per 10,000 13 dialect per 10,000 at 48 author per 10,000 69 dialect per 10,000 as 48 author per 10,000 50 dialect per 10,000 €™d 48 author per 10,000 7 dialect per 10,000 thocht 48 author per 10,000 13 dialect per 10,000 nae 48 author per 10,000 25 dialect per 10,000 wid 48 author per 10,000 1 dialect per 10,000 dad 48 author per 10,000 0 dialect per 10,000 oot 48 author per 10,000 34 dialect per 10,000 gaed 42 author per 10,000 7 dialect per 10,000 day 42 author per 10,000 17 dialect per 10,000 for 42 author per 10,000 22 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 29 dialect per 10,000 fan 42 author per 10,000 2 dialect per 10,000 hae 37 author per 10,000 35 dialect per 10,000 afore 37 author per 10,000 16 dialect per 10,000 so 37 author per 10,000 3 dialect per 10,000 haed 37 author per 10,000 2 dialect per 10,000 ae 37 author per 10,000 67 dialect per 10,000 like 37 author per 10,000 8 dialect per 10,000 tak 37 author per 10,000 9 dialect per 10,000 are 37 author per 10,000 9 dialect per 10,000 richt 37 author per 10,000 18 dialect per 10,000 kent 37 author per 10,000 11 dialect per 10,000 wee 37 author per 10,000 23 dialect per 10,000 aye 32 author per 10,000 11 dialect per 10,000 aff 32 author per 10,000 4 dialect per 10,000 juist 32 author per 10,000 13 dialect per 10,000 € 32 author per 10,000 14 dialect per 10,000 she 32 author per 10,000 91 dialect per 10,000 them 32 author per 10,000 5 dialect per 10,000 get 32 author per 10,000 10 dialect per 10,000 gey 32 author per 10,000 7 dialect per 10,000 wey 32 author per 10,000 3 dialect per 10,000 this 32 author per 10,000 35 dialect per 10,000 got 32 author per 10,000 10 dialect per 10,000 fine 32 author per 10,000 1 dialect per 10,000 dae 27 author per 10,000 14 dialect per 10,000 were 27 author per 10,000 15 dialect per 10,000 mowdie 27 author per 10,000 1 dialect per 10,000 awa 27 author per 10,000 14 dialect per 10,000 dee 27 author per 10,000 1 dialect per 10,000 aboot 27 author per 10,000 29 dialect per 10,000 €™s 27 author per 10,000 34 dialect per 10,000 dod 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 22 dialect per 10,000 far 27 author per 10,000 2 dialect per 10,000 year 27 author per 10,000 5 dialect per 10,000 glen 27 author per 10,000 2 dialect per 10,000 never 27 author per 10,000 5 dialect per 10,000 sae 27 author per 10,000 28 dialect per 10,000 mind 27 author per 10,000 8 dialect per 10,000 pit 27 author per 10,000 2 dialect per 10,000 guid 21 author per 10,000 14 dialect per 10,000 ower 21 author per 10,000 13 dialect per 10,000 said 21 author per 10,000 65 dialect per 10,000 quines 21 author per 10,000 0 dialect per 10,000 awfu 21 author per 10,000 0 dialect per 10,000 fa 21 author per 10,000 1 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 13 dialect per 10,000 end 21 author per 10,000 8 dialect per 10,000 jist 21 author per 10,000 11 dialect per 10,000 fou 21 author per 10,000 2 dialect per 10,000 made 21 author per 10,000 6 dialect per 10,000 telt 21 author per 10,000 5 dialect per 10,000 een 21 author per 10,000 2 dialect per 10,000 dancin 21 author per 10,000 0 dialect per 10,000 her 21 author per 10,000 17 dialect per 10,000 nicht 21 author per 10,000 8 dialect per 10,000 bittie 21 author per 10,000 1 dialect per 10,000 aside 21 author per 10,000 1 dialect per 10,000 yer 16 author per 10,000 17 dialect per 10,000 lyin 16 author per 10,000 2 dialect per 10,000 there 16 author per 10,000 16 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 10 dialect per 10,000 sittin 16 author per 10,000 2 dialect per 10,000 fu 16 author per 10,000 2 dialect per 10,000 left 16 author per 10,000 5 dialect per 10,000 help 16 author per 10,000 2 dialect per 10,000 strae 16 author per 10,000 0 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 62 dialect per 10,000 says 16 author per 10,000 3 dialect per 10,000 alang 16 author per 10,000 4 dialect per 10,000 ma 16 author per 10,000 59 dialect per 10,000 tell 16 author per 10,000 9 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 side 16 author per 10,000 7 dialect per 10,000 fairm 16 author per 10,000 0 dialect per 10,000 ither 16 author per 10,000 12 dialect per 10,000 speak 16 author per 10,000 4 dialect per 10,000 him 16 author per 10,000 11 dialect per 10,000 thare 16 author per 10,000 1 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 0 dialect per 10,000 doun 16 author per 10,000 9 dialect per 10,000 work 16 author per 10,000 2 dialect per 10,000 gie 16 author per 10,000 14 dialect per 10,000 owre 16 author per 10,000 11 dialect per 10,000 gat 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 6 dialect per 10,000 Β£ 16 author per 10,000 0 dialect per 10,000 keepit 16 author per 10,000 1 dialect per 10,000 gaen 16 author per 10,000 3 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 6 dialect per 10,000 could 11 author per 10,000 13 dialect per 10,000 cam 11 author per 10,000 3 dialect per 10,000 we 11 author per 10,000 10 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 8 dialect per 10,000 de 11 author per 10,000 1 dialect per 10,000 fund 11 author per 10,000 2 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 10,000 5 dialect per 10,000 traps 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 2 dialect per 10,000 ago 11 author per 10,000 1 dialect per 10,000 widna 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 17 dialect per 10,000 lookin 11 author per 10,000 4 dialect per 10,000 nou 11 author per 10,000 12 dialect per 10,000 stannin 11 author per 10,000 0 dialect per 10,000 thae 11 author per 10,000 2 dialect per 10,000 spade 11 author per 10,000 0 dialect per 10,000 fields 11 author per 10,000 0 dialect per 10,000 onie 11 author per 10,000 4 dialect per 10,000 case 11 author per 10,000 2 dialect per 10,000 dinna 11 author per 10,000 2 dialect per 10,000 will 11 author per 10,000 3 dialect per 10,000 buit 11 author per 10,000 1 dialect per 10,000 man 11 author per 10,000 7 dialect per 10,000 mercy 11 author per 10,000 0 dialect per 10,000 thinkin 11 author per 10,000 1 dialect per 10,000 should 11 author per 10,000 5 dialect per 10,000 airmy 11 author per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 1 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 9 dialect per 10,000 loon 11 author per 10,000 0 dialect per 10,000 gied 11 author per 10,000 1 dialect per 10,000 wanted 11 author per 10,000 1 dialect per 10,000 thair 11 author per 10,000 16 dialect per 10,000 hid 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 0 dialect per 10,000 you 11 author per 10,000 3 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 0 dialect per 10,000 thegither 11 author per 10,000 3 dialect per 10,000 i'd 11 author per 10,000 0 dialect per 10,000 growin 11 author per 10,000 2 dialect per 10,000 bonnie 11 author per 10,000 2 dialect per 10,000 kin 11 author per 10,000 1 dialect per 10,000 roll 11 author per 10,000 0 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 30 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 2 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 1 dialect per 10,000 back 11 author per 10,000 19 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 2 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000 		Ulster
the 525 author per 10,000 345 dialect per 10,000 i 425 author per 10,000 16 dialect per 10,000 a 318 author per 10,000 287 dialect per 10,000 wis 308 author per 10,000 1 dialect per 10,000 tae 276 author per 10,000 253 dialect per 10,000 and 255 author per 10,000 10 dialect per 10,000 in 180 author per 10,000 121 dialect per 10,000 o 149 author per 10,000 208 dialect per 10,000 he 127 author per 10,000 62 dialect per 10,000 that 111 author per 10,000 71 dialect per 10,000 wi 101 author per 10,000 63 dialect per 10,000 my 96 author per 10,000 2 dialect per 10,000 his 85 author per 10,000 25 dialect per 10,000 me 85 author per 10,000 24 dialect per 10,000 ye 80 author per 10,000 79 dialect per 10,000 €“ 80 author per 10,000 0 dialect per 10,000 snuffy 74 author per 10,000 0 dialect per 10,000 it 74 author per 10,000 73 dialect per 10,000 on 74 author per 10,000 57 dialect per 10,000 aa 69 author per 10,000 41 dialect per 10,000 an 69 author per 10,000 358 dialect per 10,000 but 69 author per 10,000 41 dialect per 10,000 up 64 author per 10,000 32 dialect per 10,000 fit 64 author per 10,000 4 dialect per 10,000 weel 58 author per 10,000 13 dialect per 10,000 auld 58 author per 10,000 1 dialect per 10,000 be 53 author per 10,000 39 dialect per 10,000 at 48 author per 10,000 58 dialect per 10,000 as 48 author per 10,000 31 dialect per 10,000 €™d 48 author per 10,000 2 dialect per 10,000 thocht 48 author per 10,000 11 dialect per 10,000 nae 48 author per 10,000 22 dialect per 10,000 wid 48 author per 10,000 1 dialect per 10,000 dad 48 author per 10,000 0 dialect per 10,000 oot 48 author per 10,000 49 dialect per 10,000 gaed 42 author per 10,000 3 dialect per 10,000 day 42 author per 10,000 15 dialect per 10,000 for 42 author per 10,000 30 dialect per 10,000 dolly 42 author per 10,000 0 dialect per 10,000 - 42 author per 10,000 25 dialect per 10,000 fan 42 author per 10,000 1 dialect per 10,000 hae 37 author per 10,000 55 dialect per 10,000 afore 37 author per 10,000 12 dialect per 10,000 so 37 author per 10,000 5 dialect per 10,000 haed 37 author per 10,000 11 dialect per 10,000 ae 37 author per 10,000 0 dialect per 10,000 like 37 author per 10,000 9 dialect per 10,000 tak 37 author per 10,000 13 dialect per 10,000 are 37 author per 10,000 4 dialect per 10,000 richt 37 author per 10,000 13 dialect per 10,000 kent 37 author per 10,000 1 dialect per 10,000 wee 37 author per 10,000 27 dialect per 10,000 aye 32 author per 10,000 13 dialect per 10,000 aff 32 author per 10,000 14 dialect per 10,000 juist 32 author per 10,000 1 dialect per 10,000 € 32 author per 10,000 8 dialect per 10,000 she 32 author per 10,000 31 dialect per 10,000 them 32 author per 10,000 8 dialect per 10,000 get 32 author per 10,000 9 dialect per 10,000 gey 32 author per 10,000 0 dialect per 10,000 wey 32 author per 10,000 0 dialect per 10,000 this 32 author per 10,000 27 dialect per 10,000 got 32 author per 10,000 9 dialect per 10,000 fine 32 author per 10,000 1 dialect per 10,000 dae 27 author per 10,000 23 dialect per 10,000 were 27 author per 10,000 4 dialect per 10,000 mowdie 27 author per 10,000 0 dialect per 10,000 awa 27 author per 10,000 17 dialect per 10,000 dee 27 author per 10,000 1 dialect per 10,000 aboot 27 author per 10,000 27 dialect per 10,000 €™s 27 author per 10,000 11 dialect per 10,000 dod 27 author per 10,000 0 dialect per 10,000 or 27 author per 10,000 33 dialect per 10,000 far 27 author per 10,000 5 dialect per 10,000 year 27 author per 10,000 2 dialect per 10,000 glen 27 author per 10,000 1 dialect per 10,000 never 27 author per 10,000 0 dialect per 10,000 sae 27 author per 10,000 25 dialect per 10,000 mind 27 author per 10,000 2 dialect per 10,000 pit 27 author per 10,000 11 dialect per 10,000 guid 21 author per 10,000 17 dialect per 10,000 ower 21 author per 10,000 18 dialect per 10,000 said 21 author per 10,000 32 dialect per 10,000 quines 21 author per 10,000 0 dialect per 10,000 awfu 21 author per 10,000 0 dialect per 10,000 fa 21 author per 10,000 0 dialect per 10,000 affa 21 author per 10,000 0 dialect per 10,000 bothy 21 author per 10,000 0 dialect per 10,000 hay 21 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 6 dialect per 10,000 end 21 author per 10,000 1 dialect per 10,000 jist 21 author per 10,000 8 dialect per 10,000 fou 21 author per 10,000 0 dialect per 10,000 made 21 author per 10,000 6 dialect per 10,000 telt 21 author per 10,000 1 dialect per 10,000 een 21 author per 10,000 8 dialect per 10,000 dancin 21 author per 10,000 1 dialect per 10,000 her 21 author per 10,000 8 dialect per 10,000 nicht 21 author per 10,000 7 dialect per 10,000 bittie 21 author per 10,000 0 dialect per 10,000 aside 21 author per 10,000 1 dialect per 10,000 yer 16 author per 10,000 37 dialect per 10,000 lyin 16 author per 10,000 1 dialect per 10,000 there 16 author per 10,000 8 dialect per 10,000 cuppie 16 author per 10,000 0 dialect per 10,000 can 16 author per 10,000 15 dialect per 10,000 sittin 16 author per 10,000 1 dialect per 10,000 fu 16 author per 10,000 2 dialect per 10,000 left 16 author per 10,000 4 dialect per 10,000 help 16 author per 10,000 2 dialect per 10,000 strae 16 author per 10,000 0 dialect per 10,000 maybe 16 author per 10,000 1 dialect per 10,000 ned 16 author per 10,000 0 dialect per 10,000 is 16 author per 10,000 18 dialect per 10,000 says 16 author per 10,000 3 dialect per 10,000 alang 16 author per 10,000 5 dialect per 10,000 ma 16 author per 10,000 23 dialect per 10,000 tell 16 author per 10,000 10 dialect per 10,000 if 16 author per 10,000 14 dialect per 10,000 side 16 author per 10,000 4 dialect per 10,000 fairm 16 author per 10,000 1 dialect per 10,000 ither 16 author per 10,000 14 dialect per 10,000 speak 16 author per 10,000 1 dialect per 10,000 him 16 author per 10,000 11 dialect per 10,000 thare 16 author per 10,000 0 dialect per 10,000 bunnet 16 author per 10,000 0 dialect per 10,000 aathing 16 author per 10,000 0 dialect per 10,000 doun 16 author per 10,000 0 dialect per 10,000 work 16 author per 10,000 1 dialect per 10,000 gie 16 author per 10,000 16 dialect per 10,000 owre 16 author per 10,000 4 dialect per 10,000 gat 16 author per 10,000 1 dialect per 10,000 same 16 author per 10,000 5 dialect per 10,000 Β£ 16 author per 10,000 1 dialect per 10,000 keepit 16 author per 10,000 0 dialect per 10,000 gaen 16 author per 10,000 1 dialect per 10,000 bather 11 author per 10,000 0 dialect per 10,000 treisure 11 author per 10,000 0 dialect per 10,000 looked 11 author per 10,000 0 dialect per 10,000 could 11 author per 10,000 1 dialect per 10,000 cam 11 author per 10,000 0 dialect per 10,000 we 11 author per 10,000 18 dialect per 10,000 fleg 11 author per 10,000 0 dialect per 10,000 imaginin 11 author per 10,000 0 dialect per 10,000 door 11 author per 10,000 0 dialect per 10,000 de 11 author per 10,000 0 dialect per 10,000 fund 11 author per 10,000 2 dialect per 10,000 pas 11 author per 10,000 0 dialect per 10,000 masel 11 author per 10,000 1 dialect per 10,000 traps 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 6 dialect per 10,000 ago 11 author per 10,000 1 dialect per 10,000 widna 11 author per 10,000 0 dialect per 10,000 ken 11 author per 10,000 3 dialect per 10,000 lookin 11 author per 10,000 0 dialect per 10,000 nou 11 author per 10,000 0 dialect per 10,000 stannin 11 author per 10,000 2 dialect per 10,000 thae 11 author per 10,000 4 dialect per 10,000 spade 11 author per 10,000 0 dialect per 10,000 fields 11 author per 10,000 0 dialect per 10,000 onie 11 author per 10,000 10 dialect per 10,000 case 11 author per 10,000 0 dialect per 10,000 dinna 11 author per 10,000 0 dialect per 10,000 will 11 author per 10,000 2 dialect per 10,000 buit 11 author per 10,000 0 dialect per 10,000 man 11 author per 10,000 17 dialect per 10,000 mercy 11 author per 10,000 0 dialect per 10,000 thinkin 11 author per 10,000 1 dialect per 10,000 should 11 author per 10,000 0 dialect per 10,000 airmy 11 author per 10,000 0 dialect per 10,000 hooever 11 author per 10,000 0 dialect per 10,000 keen 11 author per 10,000 0 dialect per 10,000 beeried 11 author per 10,000 0 dialect per 10,000 king 11 author per 10,000 5 dialect per 10,000 loon 11 author per 10,000 0 dialect per 10,000 gied 11 author per 10,000 1 dialect per 10,000 wanted 11 author per 10,000 1 dialect per 10,000 thair 11 author per 10,000 25 dialect per 10,000 hid 11 author per 10,000 0 dialect per 10,000 wye 11 author per 10,000 13 dialect per 10,000 you 11 author per 10,000 5 dialect per 10,000 cuttin 11 author per 10,000 0 dialect per 10,000 sax 11 author per 10,000 1 dialect per 10,000 thegither 11 author per 10,000 3 dialect per 10,000 i'd 11 author per 10,000 0 dialect per 10,000 growin 11 author per 10,000 0 dialect per 10,000 bonnie 11 author per 10,000 1 dialect per 10,000 kin 11 author per 10,000 1 dialect per 10,000 roll 11 author per 10,000 0 dialect per 10,000 bogey 11 author per 10,000 0 dialect per 10,000 whan 11 author per 10,000 17 dialect per 10,000 strychnine 11 author per 10,000 0 dialect per 10,000 three 11 author per 10,000 3 dialect per 10,000 oatmeal 11 author per 10,000 0 dialect per 10,000 little 11 author per 10,000 2 dialect per 10,000 back 11 author per 10,000 2 dialect per 10,000 weskit 11 author per 10,000 0 dialect per 10,000 pocket 11 author per 10,000 0 dialect per 10,000 sair 11 author per 10,000 1 dialect per 10,000 caain 11 author per 10,000 0 dialect per 10,000