A Corpus of 21st Century Scots Texts

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Bolland, John


Total words by this author in corpus - 2,315
Total unique words used by this author in corpus - 940
Ratio of total words to unique words - 2.463
Top ten most common words - the, an, a, o, ah, €, wiz, ma, in, tae,

Word frequency analysis

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

Lallans
the 687 author per 10,000 548 dialect per 10,000 an 415 author per 10,000 206 dialect per 10,000 a 216 author per 10,000 260 dialect per 10,000 o 186 author per 10,000 183 dialect per 10,000 ah 181 author per 10,000 87 dialect per 10,000 € 177 author per 10,000 33 dialect per 10,000 wiz 138 author per 10,000 2 dialect per 10,000 ma 134 author per 10,000 52 dialect per 10,000 in 125 author per 10,000 147 dialect per 10,000 tae 112 author per 10,000 221 dialect per 10,000 €™ 108 author per 10,000 40 dialect per 10,000 €™s 95 author per 10,000 38 dialect per 10,000 on 95 author per 10,000 55 dialect per 10,000 it 95 author per 10,000 124 dialect per 10,000 he 91 author per 10,000 93 dialect per 10,000 fae 73 author per 10,000 28 dialect per 10,000 doon 73 author per 10,000 18 dialect per 10,000 - 69 author per 10,000 24 dialect per 10,000 oot 69 author per 10,000 41 dialect per 10,000 there 60 author per 10,000 27 dialect per 10,000 wi 60 author per 10,000 62 dialect per 10,000 like 60 author per 10,000 28 dialect per 10,000 that 56 author per 10,000 114 dialect per 10,000 €“ 52 author per 10,000 5 dialect per 10,000 up 52 author per 10,000 41 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 10 dialect per 10,000 me 48 author per 10,000 41 dialect per 10,000 thon 48 author per 10,000 7 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 24 dialect per 10,000 intae 43 author per 10,000 19 dialect per 10,000 as 43 author per 10,000 60 dialect per 10,000 her 43 author per 10,000 48 dialect per 10,000 night 43 author per 10,000 3 dialect per 10,000 jist 43 author per 10,000 24 dialect per 10,000 bit 43 author per 10,000 15 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 16 dialect per 10,000 nae 39 author per 10,000 19 dialect per 10,000 we 39 author per 10,000 34 dialect per 10,000 mars 39 author per 10,000 0 dialect per 10,000 where 35 author per 10,000 3 dialect per 10,000 €™d 35 author per 10,000 7 dialect per 10,000 aa 35 author per 10,000 8 dialect per 10,000 or 35 author per 10,000 28 dialect per 10,000 she 30 author per 10,000 63 dialect per 10,000 road 30 author per 10,000 3 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 1 dialect per 10,000 twa 26 author per 10,000 9 dialect per 10,000 ye 26 author per 10,000 58 dialect per 10,000 mebbe 26 author per 10,000 2 dialect per 10,000 wisnae 26 author per 10,000 5 dialect per 10,000 back 26 author per 10,000 21 dialect per 10,000 when 26 author per 10,000 19 dialect per 10,000 mi 26 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 14 dialect per 10,000 ay 22 author per 10,000 12 dialect per 10,000 i 22 author per 10,000 38 dialect per 10,000 even 22 author per 10,000 11 dialect per 10,000 their 22 author per 10,000 18 dialect per 10,000 light 22 author per 10,000 1 dialect per 10,000 faither 22 author per 10,000 4 dialect per 10,000 grass 22 author per 10,000 0 dialect per 10,000 and 22 author per 10,000 107 dialect per 10,000 close 22 author per 10,000 2 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 this 22 author per 10,000 42 dialect per 10,000 fuckin 17 author per 10,000 6 dialect per 10,000 masel 17 author per 10,000 4 dialect per 10,000 mary 17 author per 10,000 1 dialect per 10,000 dad 17 author per 10,000 1 dialect per 10,000 space 17 author per 10,000 1 dialect per 10,000 enough 17 author per 10,000 3 dialect per 10,000 them 17 author per 10,000 19 dialect per 10,000 you 17 author per 10,000 17 dialect per 10,000 again 17 author per 10,000 8 dialect per 10,000 ken 17 author per 10,000 14 dialect per 10,000 get 17 author per 10,000 17 dialect per 10,000 be 17 author per 10,000 50 dialect per 10,000 so 17 author per 10,000 10 dialect per 10,000 past 17 author per 10,000 3 dialect per 10,000 bar 17 author per 10,000 2 dialect per 10,000 yer 17 author per 10,000 17 dialect per 10,000 come 17 author per 10,000 9 dialect per 10,000 chain 17 author per 10,000 0 dialect per 10,000 burn 17 author per 10,000 1 dialect per 10,000 behind 17 author per 10,000 1 dialect per 10,000 auld 17 author per 10,000 13 dialect per 10,000 ower 17 author per 10,000 18 dialect per 10,000 for 17 author per 10,000 45 dialect per 10,000 love 17 author per 10,000 2 dialect per 10,000 damp 17 author per 10,000 0 dialect per 10,000 nuts 17 author per 10,000 0 dialect per 10,000 dark 17 author per 10,000 1 dialect per 10,000 kept 17 author per 10,000 2 dialect per 10,000 swing 13 author per 10,000 0 dialect per 10,000 been 13 author per 10,000 20 dialect per 10,000 noo 13 author per 10,000 13 dialect per 10,000 his 13 author per 10,000 53 dialect per 10,000 us 13 author per 10,000 14 dialect per 10,000 could 13 author per 10,000 10 dialect per 10,000 cried 13 author per 10,000 4 dialect per 10,000 €œ 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 18 dialect per 10,000 draw 13 author per 10,000 0 dialect per 10,000 didnae 13 author per 10,000 7 dialect per 10,000 now 13 author per 10,000 2 dialect per 10,000 at 13 author per 10,000 58 dialect per 10,000 if 13 author per 10,000 19 dialect per 10,000 else 13 author per 10,000 3 dialect per 10,000 wee 13 author per 10,000 28 dialect per 10,000 €œwhit 13 author per 10,000 1 dialect per 10,000 thir 13 author per 10,000 5 dialect per 10,000 know 13 author per 10,000 5 dialect per 10,000 wan 13 author per 10,000 10 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 2 dialect per 10,000 towards 13 author per 10,000 1 dialect per 10,000 were 13 author per 10,000 17 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 kent 13 author per 10,000 6 dialect per 10,000 comin 13 author per 10,000 4 dialect per 10,000 is 13 author per 10,000 59 dialect per 10,000 which 13 author per 10,000 5 dialect per 10,000 far 13 author per 10,000 2 dialect per 10,000 time 13 author per 10,000 18 dialect per 10,000 had 13 author per 10,000 26 dialect per 10,000 same 13 author per 10,000 6 dialect per 10,000 cowboy 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 15 dialect per 10,000 thing 13 author per 10,000 7 dialect per 10,000 black 13 author per 10,000 2 dialect per 10,000 wifey 13 author per 10,000 0 dialect per 10,000 linwood 13 author per 10,000 0 dialect per 10,000 some 13 author per 10,000 14 dialect per 10,000 fast 13 author per 10,000 1 dialect per 10,000 drive 13 author per 10,000 1 dialect per 10,000 low 13 author per 10,000 0 dialect per 10,000 see 13 author per 10,000 17 dialect per 10,000 right 13 author per 10,000 5 dialect per 10,000 couldnae 13 author per 10,000 3 dialect per 10,000 him 9 author per 10,000 30 dialect per 10,000 milk 9 author per 10,000 1 dialect per 10,000 keep 9 author per 10,000 5 dialect per 10,000 aboot 9 author per 10,000 31 dialect per 10,000 €¦ 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 8 dialect per 10,000 €œaye 9 author per 10,000 0 dialect per 10,000 never 9 author per 10,000 7 dialect per 10,000 can 9 author per 10,000 15 dialect per 10,000 but 9 author per 10,000 48 dialect per 10,000 slung 9 author per 10,000 0 dialect per 10,000 €œquick 9 author per 10,000 0 dialect per 10,000 another 9 author per 10,000 2 dialect per 10,000 things 9 author per 10,000 6 dialect per 10,000 middle 9 author per 10,000 2 dialect per 10,000 thought 9 author per 10,000 2 dialect per 10,000 am 9 author per 10,000 3 dialect per 10,000 shite 9 author per 10,000 1 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 €œyou 9 author per 10,000 1 dialect per 10,000 side 9 author per 10,000 3 dialect per 10,000 well 9 author per 10,000 5 dialect per 10,000 eric 9 author per 10,000 0 dialect per 10,000 shoulda 9 author per 10,000 0 dialect per 10,000 streetlamp 9 author per 10,000 0 dialect per 10,000 pistol 9 author per 10,000 0 dialect per 10,000 dragged 9 author per 10,000 0 dialect per 10,000 brediland 9 author per 10,000 0 dialect per 10,000 bus 9 author per 10,000 1 dialect per 10,000 ha 9 author per 10,000 0 dialect per 10,000 aat 9 author per 10,000 0 dialect per 10,000 stript 9 author per 10,000 0 dialect per 10,000 hill 9 author per 10,000 1 dialect per 10,000 intil 9 author per 10,000 2 dialect per 10,000 hillman 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 3 dialect per 10,000 they 9 author per 10,000 44 dialect per 10,000 structure 9 author per 10,000 0 dialect per 10,000 voices 9 author per 10,000 0 dialect per 10,000 docks 9 author per 10,000 0 dialect per 10,000 lassies 9 author per 10,000 1 dialect per 10,000 dry 9 author per 10,000 1 dialect per 10,000 grun 9 author per 10,000 1 dialect per 10,000 dizzy 9 author per 10,000 0 dialect per 10,000 fell 9 author per 10,000 2 dialect per 10,000 mattress 9 author per 10,000 0 dialect per 10,000 ablo 9 author per 10,000 0 dialect per 10,000 bank 9 author per 10,000 1 dialect per 10,000 below 9 author per 10,000 0 dialect per 10,000 high 9 author per 10,000 2 dialect per 10,000 rope 9 author per 10,000 0 dialect per 10,000 tree 9 author per 10,000 1 dialect per 10,000 hung 9 author per 10,000 0 dialect per 10,000
Doric
the 687 author per 10,000 529 dialect per 10,000 an 415 author per 10,000 317 dialect per 10,000 a 216 author per 10,000 287 dialect per 10,000 o 186 author per 10,000 197 dialect per 10,000 ah 181 author per 10,000 54 dialect per 10,000 € 177 author per 10,000 19 dialect per 10,000 wiz 138 author per 10,000 19 dialect per 10,000 ma 134 author per 10,000 47 dialect per 10,000 in 125 author per 10,000 135 dialect per 10,000 tae 112 author per 10,000 169 dialect per 10,000 €™ 108 author per 10,000 31 dialect per 10,000 €™s 95 author per 10,000 28 dialect per 10,000 on 95 author per 10,000 61 dialect per 10,000 it 95 author per 10,000 109 dialect per 10,000 he 91 author per 10,000 103 dialect per 10,000 fae 73 author per 10,000 29 dialect per 10,000 doon 73 author per 10,000 34 dialect per 10,000 - 69 author per 10,000 28 dialect per 10,000 oot 69 author per 10,000 53 dialect per 10,000 there 60 author per 10,000 22 dialect per 10,000 wi 60 author per 10,000 88 dialect per 10,000 like 60 author per 10,000 42 dialect per 10,000 that 56 author per 10,000 57 dialect per 10,000 €“ 52 author per 10,000 9 dialect per 10,000 up 52 author per 10,000 49 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 21 dialect per 10,000 me 48 author per 10,000 21 dialect per 10,000 thon 48 author per 10,000 4 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 20 dialect per 10,000 intae 43 author per 10,000 12 dialect per 10,000 as 43 author per 10,000 54 dialect per 10,000 her 43 author per 10,000 71 dialect per 10,000 night 43 author per 10,000 0 dialect per 10,000 jist 43 author per 10,000 37 dialect per 10,000 bit 43 author per 10,000 49 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 8 dialect per 10,000 nae 39 author per 10,000 50 dialect per 10,000 we 39 author per 10,000 20 dialect per 10,000 mars 39 author per 10,000 0 dialect per 10,000 where 35 author per 10,000 1 dialect per 10,000 €™d 35 author per 10,000 14 dialect per 10,000 aa 35 author per 10,000 39 dialect per 10,000 or 35 author per 10,000 23 dialect per 10,000 she 30 author per 10,000 63 dialect per 10,000 road 30 author per 10,000 5 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 0 dialect per 10,000 twa 26 author per 10,000 20 dialect per 10,000 ye 26 author per 10,000 80 dialect per 10,000 mebbe 26 author per 10,000 6 dialect per 10,000 wisnae 26 author per 10,000 2 dialect per 10,000 back 26 author per 10,000 23 dialect per 10,000 when 26 author per 10,000 2 dialect per 10,000 mi 26 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 15 dialect per 10,000 ay 22 author per 10,000 7 dialect per 10,000 i 22 author per 10,000 52 dialect per 10,000 even 22 author per 10,000 7 dialect per 10,000 their 22 author per 10,000 23 dialect per 10,000 light 22 author per 10,000 0 dialect per 10,000 faither 22 author per 10,000 5 dialect per 10,000 grass 22 author per 10,000 0 dialect per 10,000 and 22 author per 10,000 44 dialect per 10,000 close 22 author per 10,000 2 dialect per 10,000 hid 22 author per 10,000 42 dialect per 10,000 this 22 author per 10,000 21 dialect per 10,000 fuckin 17 author per 10,000 1 dialect per 10,000 masel 17 author per 10,000 3 dialect per 10,000 mary 17 author per 10,000 2 dialect per 10,000 dad 17 author per 10,000 1 dialect per 10,000 space 17 author per 10,000 1 dialect per 10,000 enough 17 author per 10,000 1 dialect per 10,000 them 17 author per 10,000 29 dialect per 10,000 you 17 author per 10,000 21 dialect per 10,000 again 17 author per 10,000 9 dialect per 10,000 ken 17 author per 10,000 17 dialect per 10,000 get 17 author per 10,000 14 dialect per 10,000 be 17 author per 10,000 42 dialect per 10,000 so 17 author per 10,000 12 dialect per 10,000 past 17 author per 10,000 3 dialect per 10,000 bar 17 author per 10,000 1 dialect per 10,000 yer 17 author per 10,000 30 dialect per 10,000 come 17 author per 10,000 12 dialect per 10,000 chain 17 author per 10,000 0 dialect per 10,000 burn 17 author per 10,000 1 dialect per 10,000 behind 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 9 dialect per 10,000 ower 17 author per 10,000 29 dialect per 10,000 for 17 author per 10,000 38 dialect per 10,000 love 17 author per 10,000 1 dialect per 10,000 damp 17 author per 10,000 1 dialect per 10,000 nuts 17 author per 10,000 0 dialect per 10,000 dark 17 author per 10,000 1 dialect per 10,000 kept 17 author per 10,000 1 dialect per 10,000 swing 13 author per 10,000 0 dialect per 10,000 been 13 author per 10,000 12 dialect per 10,000 noo 13 author per 10,000 20 dialect per 10,000 his 13 author per 10,000 76 dialect per 10,000 us 13 author per 10,000 6 dialect per 10,000 could 13 author per 10,000 7 dialect per 10,000 cried 13 author per 10,000 3 dialect per 10,000 €œ 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 13 dialect per 10,000 draw 13 author per 10,000 0 dialect per 10,000 didnae 13 author per 10,000 2 dialect per 10,000 now 13 author per 10,000 1 dialect per 10,000 at 13 author per 10,000 59 dialect per 10,000 if 13 author per 10,000 16 dialect per 10,000 else 13 author per 10,000 2 dialect per 10,000 wee 13 author per 10,000 19 dialect per 10,000 €œwhit 13 author per 10,000 0 dialect per 10,000 thir 13 author per 10,000 0 dialect per 10,000 know 13 author per 10,000 0 dialect per 10,000 wan 13 author per 10,000 2 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 6 dialect per 10,000 towards 13 author per 10,000 1 dialect per 10,000 were 13 author per 10,000 12 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 kent 13 author per 10,000 9 dialect per 10,000 comin 13 author per 10,000 5 dialect per 10,000 is 13 author per 10,000 45 dialect per 10,000 which 13 author per 10,000 2 dialect per 10,000 far 13 author per 10,000 14 dialect per 10,000 time 13 author per 10,000 20 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 same 13 author per 10,000 5 dialect per 10,000 cowboy 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 9 dialect per 10,000 thing 13 author per 10,000 6 dialect per 10,000 black 13 author per 10,000 3 dialect per 10,000 wifey 13 author per 10,000 0 dialect per 10,000 linwood 13 author per 10,000 0 dialect per 10,000 some 13 author per 10,000 13 dialect per 10,000 fast 13 author per 10,000 1 dialect per 10,000 drive 13 author per 10,000 0 dialect per 10,000 low 13 author per 10,000 1 dialect per 10,000 see 13 author per 10,000 21 dialect per 10,000 right 13 author per 10,000 1 dialect per 10,000 couldnae 13 author per 10,000 1 dialect per 10,000 him 9 author per 10,000 36 dialect per 10,000 milk 9 author per 10,000 1 dialect per 10,000 keep 9 author per 10,000 4 dialect per 10,000 aboot 9 author per 10,000 37 dialect per 10,000 €¦ 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 9 dialect per 10,000 €œaye 9 author per 10,000 0 dialect per 10,000 never 9 author per 10,000 1 dialect per 10,000 can 9 author per 10,000 12 dialect per 10,000 but 9 author per 10,000 14 dialect per 10,000 slung 9 author per 10,000 0 dialect per 10,000 €œquick 9 author per 10,000 0 dialect per 10,000 another 9 author per 10,000 0 dialect per 10,000 things 9 author per 10,000 6 dialect per 10,000 middle 9 author per 10,000 1 dialect per 10,000 thought 9 author per 10,000 0 dialect per 10,000 am 9 author per 10,000 2 dialect per 10,000 shite 9 author per 10,000 1 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 €œyou 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 5 dialect per 10,000 well 9 author per 10,000 2 dialect per 10,000 eric 9 author per 10,000 1 dialect per 10,000 shoulda 9 author per 10,000 0 dialect per 10,000 streetlamp 9 author per 10,000 0 dialect per 10,000 pistol 9 author per 10,000 0 dialect per 10,000 dragged 9 author per 10,000 0 dialect per 10,000 brediland 9 author per 10,000 0 dialect per 10,000 bus 9 author per 10,000 1 dialect per 10,000 ha 9 author per 10,000 0 dialect per 10,000 aat 9 author per 10,000 10 dialect per 10,000 stript 9 author per 10,000 0 dialect per 10,000 hill 9 author per 10,000 1 dialect per 10,000 intil 9 author per 10,000 0 dialect per 10,000 hillman 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 3 dialect per 10,000 they 9 author per 10,000 39 dialect per 10,000 structure 9 author per 10,000 0 dialect per 10,000 voices 9 author per 10,000 0 dialect per 10,000 docks 9 author per 10,000 0 dialect per 10,000 lassies 9 author per 10,000 0 dialect per 10,000 dry 9 author per 10,000 6 dialect per 10,000 grun 9 author per 10,000 5 dialect per 10,000 dizzy 9 author per 10,000 0 dialect per 10,000 fell 9 author per 10,000 3 dialect per 10,000 mattress 9 author per 10,000 0 dialect per 10,000 ablo 9 author per 10,000 0 dialect per 10,000 bank 9 author per 10,000 0 dialect per 10,000 below 9 author per 10,000 0 dialect per 10,000 high 9 author per 10,000 1 dialect per 10,000 rope 9 author per 10,000 0 dialect per 10,000 tree 9 author per 10,000 3 dialect per 10,000 hung 9 author per 10,000 1 dialect per 10,000
Shetland
the 687 author per 10,000 22 dialect per 10,000 an 415 author per 10,000 351 dialect per 10,000 a 216 author per 10,000 251 dialect per 10,000 o 186 author per 10,000 174 dialect per 10,000 ah 181 author per 10,000 1 dialect per 10,000 € 177 author per 10,000 3 dialect per 10,000 wiz 138 author per 10,000 0 dialect per 10,000 ma 134 author per 10,000 0 dialect per 10,000 in 125 author per 10,000 94 dialect per 10,000 tae 112 author per 10,000 60 dialect per 10,000 €™ 108 author per 10,000 26 dialect per 10,000 €™s 95 author per 10,000 15 dialect per 10,000 on 95 author per 10,000 52 dialect per 10,000 it 95 author per 10,000 63 dialect per 10,000 he 91 author per 10,000 128 dialect per 10,000 fae 73 author per 10,000 34 dialect per 10,000 doon 73 author per 10,000 27 dialect per 10,000 - 69 author per 10,000 61 dialect per 10,000 oot 69 author per 10,000 46 dialect per 10,000 there 60 author per 10,000 1 dialect per 10,000 wi 60 author per 10,000 94 dialect per 10,000 like 60 author per 10,000 3 dialect per 10,000 that 56 author per 10,000 3 dialect per 10,000 €“ 52 author per 10,000 3 dialect per 10,000 up 52 author per 10,000 44 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 7 dialect per 10,000 me 48 author per 10,000 50 dialect per 10,000 thon 48 author per 10,000 0 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 19 dialect per 10,000 intae 43 author per 10,000 7 dialect per 10,000 as 43 author per 10,000 78 dialect per 10,000 her 43 author per 10,000 60 dialect per 10,000 night 43 author per 10,000 3 dialect per 10,000 jist 43 author per 10,000 0 dialect per 10,000 bit 43 author per 10,000 36 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 0 dialect per 10,000 nae 39 author per 10,000 26 dialect per 10,000 we 39 author per 10,000 38 dialect per 10,000 mars 39 author per 10,000 0 dialect per 10,000 where 35 author per 10,000 0 dialect per 10,000 €™d 35 author per 10,000 2 dialect per 10,000 aa 35 author per 10,000 56 dialect per 10,000 or 35 author per 10,000 27 dialect per 10,000 she 30 author per 10,000 3 dialect per 10,000 road 30 author per 10,000 0 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 0 dialect per 10,000 twa 26 author per 10,000 11 dialect per 10,000 ye 26 author per 10,000 0 dialect per 10,000 mebbe 26 author per 10,000 0 dialect per 10,000 wisnae 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 when 26 author per 10,000 3 dialect per 10,000 mi 26 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 21 dialect per 10,000 ay 22 author per 10,000 0 dialect per 10,000 i 22 author per 10,000 138 dialect per 10,000 even 22 author per 10,000 9 dialect per 10,000 their 22 author per 10,000 1 dialect per 10,000 light 22 author per 10,000 1 dialect per 10,000 faither 22 author per 10,000 0 dialect per 10,000 grass 22 author per 10,000 0 dialect per 10,000 and 22 author per 10,000 17 dialect per 10,000 close 22 author per 10,000 0 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 this 22 author per 10,000 1 dialect per 10,000 fuckin 17 author per 10,000 0 dialect per 10,000 masel 17 author per 10,000 0 dialect per 10,000 mary 17 author per 10,000 2 dialect per 10,000 dad 17 author per 10,000 2 dialect per 10,000 space 17 author per 10,000 0 dialect per 10,000 enough 17 author per 10,000 1 dialect per 10,000 them 17 author per 10,000 1 dialect per 10,000 you 17 author per 10,000 56 dialect per 10,000 again 17 author per 10,000 5 dialect per 10,000 ken 17 author per 10,000 16 dialect per 10,000 get 17 author per 10,000 7 dialect per 10,000 be 17 author per 10,000 57 dialect per 10,000 so 17 author per 10,000 31 dialect per 10,000 past 17 author per 10,000 1 dialect per 10,000 bar 17 author per 10,000 1 dialect per 10,000 yer 17 author per 10,000 0 dialect per 10,000 come 17 author per 10,000 21 dialect per 10,000 chain 17 author per 10,000 0 dialect per 10,000 burn 17 author per 10,000 2 dialect per 10,000 behind 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 ower 17 author per 10,000 28 dialect per 10,000 for 17 author per 10,000 44 dialect per 10,000 love 17 author per 10,000 5 dialect per 10,000 damp 17 author per 10,000 0 dialect per 10,000 nuts 17 author per 10,000 0 dialect per 10,000 dark 17 author per 10,000 3 dialect per 10,000 kept 17 author per 10,000 1 dialect per 10,000 swing 13 author per 10,000 0 dialect per 10,000 been 13 author per 10,000 15 dialect per 10,000 noo 13 author per 10,000 18 dialect per 10,000 his 13 author per 10,000 62 dialect per 10,000 us 13 author per 10,000 0 dialect per 10,000 could 13 author per 10,000 15 dialect per 10,000 cried 13 author per 10,000 4 dialect per 10,000 €œ 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 0 dialect per 10,000 draw 13 author per 10,000 0 dialect per 10,000 didnae 13 author per 10,000 0 dialect per 10,000 now 13 author per 10,000 0 dialect per 10,000 at 13 author per 10,000 120 dialect per 10,000 if 13 author per 10,000 30 dialect per 10,000 else 13 author per 10,000 0 dialect per 10,000 wee 13 author per 10,000 0 dialect per 10,000 €œwhit 13 author per 10,000 0 dialect per 10,000 thir 13 author per 10,000 0 dialect per 10,000 know 13 author per 10,000 0 dialect per 10,000 wan 13 author per 10,000 17 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 0 dialect per 10,000 towards 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 3 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 kent 13 author per 10,000 10 dialect per 10,000 comin 13 author per 10,000 6 dialect per 10,000 is 13 author per 10,000 61 dialect per 10,000 which 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 6 dialect per 10,000 time 13 author per 10,000 22 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 same 13 author per 10,000 1 dialect per 10,000 cowboy 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 1 dialect per 10,000 thing 13 author per 10,000 9 dialect per 10,000 black 13 author per 10,000 2 dialect per 10,000 wifey 13 author per 10,000 0 dialect per 10,000 linwood 13 author per 10,000 0 dialect per 10,000 some 13 author per 10,000 14 dialect per 10,000 fast 13 author per 10,000 2 dialect per 10,000 drive 13 author per 10,000 0 dialect per 10,000 low 13 author per 10,000 1 dialect per 10,000 see 13 author per 10,000 22 dialect per 10,000 right 13 author per 10,000 3 dialect per 10,000 couldnae 13 author per 10,000 0 dialect per 10,000 him 9 author per 10,000 57 dialect per 10,000 milk 9 author per 10,000 0 dialect per 10,000 keep 9 author per 10,000 5 dialect per 10,000 aboot 9 author per 10,000 43 dialect per 10,000 €¦ 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 1 dialect per 10,000 €œaye 9 author per 10,000 0 dialect per 10,000 never 9 author per 10,000 12 dialect per 10,000 can 9 author per 10,000 17 dialect per 10,000 but 9 author per 10,000 33 dialect per 10,000 slung 9 author per 10,000 0 dialect per 10,000 €œquick 9 author per 10,000 0 dialect per 10,000 another 9 author per 10,000 0 dialect per 10,000 things 9 author per 10,000 9 dialect per 10,000 middle 9 author per 10,000 2 dialect per 10,000 thought 9 author per 10,000 0 dialect per 10,000 am 9 author per 10,000 5 dialect per 10,000 shite 9 author per 10,000 0 dialect per 10,000 sing 9 author per 10,000 2 dialect per 10,000 €œyou 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 5 dialect per 10,000 well 9 author per 10,000 1 dialect per 10,000 eric 9 author per 10,000 0 dialect per 10,000 shoulda 9 author per 10,000 0 dialect per 10,000 streetlamp 9 author per 10,000 0 dialect per 10,000 pistol 9 author per 10,000 0 dialect per 10,000 dragged 9 author per 10,000 0 dialect per 10,000 brediland 9 author per 10,000 0 dialect per 10,000 bus 9 author per 10,000 0 dialect per 10,000 ha 9 author per 10,000 0 dialect per 10,000 aat 9 author per 10,000 0 dialect per 10,000 stript 9 author per 10,000 0 dialect per 10,000 hill 9 author per 10,000 3 dialect per 10,000 intil 9 author per 10,000 0 dialect per 10,000 hillman 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 3 dialect per 10,000 they 9 author per 10,000 2 dialect per 10,000 structure 9 author per 10,000 0 dialect per 10,000 voices 9 author per 10,000 0 dialect per 10,000 docks 9 author per 10,000 0 dialect per 10,000 lassies 9 author per 10,000 0 dialect per 10,000 dry 9 author per 10,000 2 dialect per 10,000 grun 9 author per 10,000 0 dialect per 10,000 dizzy 9 author per 10,000 0 dialect per 10,000 fell 9 author per 10,000 4 dialect per 10,000 mattress 9 author per 10,000 0 dialect per 10,000 ablo 9 author per 10,000 0 dialect per 10,000 bank 9 author per 10,000 1 dialect per 10,000 below 9 author per 10,000 0 dialect per 10,000 high 9 author per 10,000 2 dialect per 10,000 rope 9 author per 10,000 0 dialect per 10,000 tree 9 author per 10,000 8 dialect per 10,000 hung 9 author per 10,000 0 dialect per 10,000
Orkney
the 687 author per 10,000 544 dialect per 10,000 an 415 author per 10,000 169 dialect per 10,000 a 216 author per 10,000 299 dialect per 10,000 o 186 author per 10,000 194 dialect per 10,000 ah 181 author per 10,000 2 dialect per 10,000 € 177 author per 10,000 7 dialect per 10,000 wiz 138 author per 10,000 0 dialect per 10,000 ma 134 author per 10,000 1 dialect per 10,000 in 125 author per 10,000 138 dialect per 10,000 tae 112 author per 10,000 228 dialect per 10,000 €™ 108 author per 10,000 21 dialect per 10,000 €™s 95 author per 10,000 26 dialect per 10,000 on 95 author per 10,000 75 dialect per 10,000 it 95 author per 10,000 25 dialect per 10,000 he 91 author per 10,000 107 dialect per 10,000 fae 73 author per 10,000 35 dialect per 10,000 doon 73 author per 10,000 25 dialect per 10,000 - 69 author per 10,000 88 dialect per 10,000 oot 69 author per 10,000 50 dialect per 10,000 there 60 author per 10,000 20 dialect per 10,000 wi 60 author per 10,000 65 dialect per 10,000 like 60 author per 10,000 27 dialect per 10,000 that 56 author per 10,000 85 dialect per 10,000 €“ 52 author per 10,000 20 dialect per 10,000 up 52 author per 10,000 26 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 10 dialect per 10,000 me 48 author per 10,000 106 dialect per 10,000 thon 48 author per 10,000 0 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 44 dialect per 10,000 intae 43 author per 10,000 17 dialect per 10,000 as 43 author per 10,000 55 dialect per 10,000 her 43 author per 10,000 61 dialect per 10,000 night 43 author per 10,000 11 dialect per 10,000 jist 43 author per 10,000 1 dialect per 10,000 bit 43 author per 10,000 49 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 19 dialect per 10,000 nae 39 author per 10,000 4 dialect per 10,000 we 39 author per 10,000 34 dialect per 10,000 mars 39 author per 10,000 3 dialect per 10,000 where 35 author per 10,000 0 dialect per 10,000 €™d 35 author per 10,000 3 dialect per 10,000 aa 35 author per 10,000 10 dialect per 10,000 or 35 author per 10,000 35 dialect per 10,000 she 30 author per 10,000 7 dialect per 10,000 road 30 author per 10,000 4 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 1 dialect per 10,000 twa 26 author per 10,000 12 dialect per 10,000 ye 26 author per 10,000 16 dialect per 10,000 mebbe 26 author per 10,000 1 dialect per 10,000 wisnae 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 25 dialect per 10,000 when 26 author per 10,000 25 dialect per 10,000 mi 26 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 10 dialect per 10,000 ay 22 author per 10,000 0 dialect per 10,000 i 22 author per 10,000 157 dialect per 10,000 even 22 author per 10,000 7 dialect per 10,000 their 22 author per 10,000 8 dialect per 10,000 light 22 author per 10,000 7 dialect per 10,000 faither 22 author per 10,000 3 dialect per 10,000 grass 22 author per 10,000 0 dialect per 10,000 and 22 author per 10,000 200 dialect per 10,000 close 22 author per 10,000 1 dialect per 10,000 hid 22 author per 10,000 103 dialect per 10,000 this 22 author per 10,000 39 dialect per 10,000 fuckin 17 author per 10,000 0 dialect per 10,000 masel 17 author per 10,000 0 dialect per 10,000 mary 17 author per 10,000 0 dialect per 10,000 dad 17 author per 10,000 1 dialect per 10,000 space 17 author per 10,000 3 dialect per 10,000 enough 17 author per 10,000 2 dialect per 10,000 them 17 author per 10,000 18 dialect per 10,000 you 17 author per 10,000 31 dialect per 10,000 again 17 author per 10,000 11 dialect per 10,000 ken 17 author per 10,000 18 dialect per 10,000 get 17 author per 10,000 12 dialect per 10,000 be 17 author per 10,000 45 dialect per 10,000 so 17 author per 10,000 31 dialect per 10,000 past 17 author per 10,000 2 dialect per 10,000 bar 17 author per 10,000 2 dialect per 10,000 yer 17 author per 10,000 5 dialect per 10,000 come 17 author per 10,000 10 dialect per 10,000 chain 17 author per 10,000 0 dialect per 10,000 burn 17 author per 10,000 1 dialect per 10,000 behind 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 1 dialect per 10,000 ower 17 author per 10,000 18 dialect per 10,000 for 17 author per 10,000 23 dialect per 10,000 love 17 author per 10,000 3 dialect per 10,000 damp 17 author per 10,000 0 dialect per 10,000 nuts 17 author per 10,000 0 dialect per 10,000 dark 17 author per 10,000 3 dialect per 10,000 kept 17 author per 10,000 1 dialect per 10,000 swing 13 author per 10,000 0 dialect per 10,000 been 13 author per 10,000 19 dialect per 10,000 noo 13 author per 10,000 26 dialect per 10,000 his 13 author per 10,000 68 dialect per 10,000 us 13 author per 10,000 6 dialect per 10,000 could 13 author per 10,000 13 dialect per 10,000 cried 13 author per 10,000 1 dialect per 10,000 €œ 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 1 dialect per 10,000 draw 13 author per 10,000 0 dialect per 10,000 didnae 13 author per 10,000 0 dialect per 10,000 now 13 author per 10,000 0 dialect per 10,000 at 13 author per 10,000 57 dialect per 10,000 if 13 author per 10,000 16 dialect per 10,000 else 13 author per 10,000 3 dialect per 10,000 wee 13 author per 10,000 1 dialect per 10,000 €œwhit 13 author per 10,000 0 dialect per 10,000 thir 13 author per 10,000 33 dialect per 10,000 know 13 author per 10,000 2 dialect per 10,000 wan 13 author per 10,000 21 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 0 dialect per 10,000 towards 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 9 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 kent 13 author per 10,000 6 dialect per 10,000 comin 13 author per 10,000 2 dialect per 10,000 is 13 author per 10,000 71 dialect per 10,000 which 13 author per 10,000 1 dialect per 10,000 far 13 author per 10,000 4 dialect per 10,000 time 13 author per 10,000 18 dialect per 10,000 had 13 author per 10,000 3 dialect per 10,000 same 13 author per 10,000 2 dialect per 10,000 cowboy 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 2 dialect per 10,000 thing 13 author per 10,000 8 dialect per 10,000 black 13 author per 10,000 5 dialect per 10,000 wifey 13 author per 10,000 0 dialect per 10,000 linwood 13 author per 10,000 0 dialect per 10,000 some 13 author per 10,000 19 dialect per 10,000 fast 13 author per 10,000 1 dialect per 10,000 drive 13 author per 10,000 2 dialect per 10,000 low 13 author per 10,000 1 dialect per 10,000 see 13 author per 10,000 16 dialect per 10,000 right 13 author per 10,000 15 dialect per 10,000 couldnae 13 author per 10,000 0 dialect per 10,000 him 9 author per 10,000 23 dialect per 10,000 milk 9 author per 10,000 0 dialect per 10,000 keep 9 author per 10,000 5 dialect per 10,000 aboot 9 author per 10,000 29 dialect per 10,000 €¦ 9 author per 10,000 5 dialect per 10,000 made 9 author per 10,000 1 dialect per 10,000 €œaye 9 author per 10,000 0 dialect per 10,000 never 9 author per 10,000 2 dialect per 10,000 can 9 author per 10,000 15 dialect per 10,000 but 9 author per 10,000 36 dialect per 10,000 slung 9 author per 10,000 0 dialect per 10,000 €œquick 9 author per 10,000 0 dialect per 10,000 another 9 author per 10,000 0 dialect per 10,000 things 9 author per 10,000 10 dialect per 10,000 middle 9 author per 10,000 1 dialect per 10,000 thought 9 author per 10,000 0 dialect per 10,000 am 9 author per 10,000 4 dialect per 10,000 shite 9 author per 10,000 0 dialect per 10,000 sing 9 author per 10,000 1 dialect per 10,000 €œyou 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 4 dialect per 10,000 well 9 author per 10,000 1 dialect per 10,000 eric 9 author per 10,000 0 dialect per 10,000 shoulda 9 author per 10,000 0 dialect per 10,000 streetlamp 9 author per 10,000 0 dialect per 10,000 pistol 9 author per 10,000 0 dialect per 10,000 dragged 9 author per 10,000 0 dialect per 10,000 brediland 9 author per 10,000 0 dialect per 10,000 bus 9 author per 10,000 1 dialect per 10,000 ha 9 author per 10,000 0 dialect per 10,000 aat 9 author per 10,000 0 dialect per 10,000 stript 9 author per 10,000 0 dialect per 10,000 hill 9 author per 10,000 1 dialect per 10,000 intil 9 author per 10,000 0 dialect per 10,000 hillman 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 3 dialect per 10,000 they 9 author per 10,000 36 dialect per 10,000 structure 9 author per 10,000 0 dialect per 10,000 voices 9 author per 10,000 0 dialect per 10,000 docks 9 author per 10,000 0 dialect per 10,000 lassies 9 author per 10,000 0 dialect per 10,000 dry 9 author per 10,000 2 dialect per 10,000 grun 9 author per 10,000 0 dialect per 10,000 dizzy 9 author per 10,000 0 dialect per 10,000 fell 9 author per 10,000 2 dialect per 10,000 mattress 9 author per 10,000 0 dialect per 10,000 ablo 9 author per 10,000 0 dialect per 10,000 bank 9 author per 10,000 0 dialect per 10,000 below 9 author per 10,000 0 dialect per 10,000 high 9 author per 10,000 3 dialect per 10,000 rope 9 author per 10,000 1 dialect per 10,000 tree 9 author per 10,000 1 dialect per 10,000 hung 9 author per 10,000 0 dialect per 10,000
Southern
the 687 author per 10,000 463 dialect per 10,000 an 415 author per 10,000 302 dialect per 10,000 a 216 author per 10,000 239 dialect per 10,000 o 186 author per 10,000 191 dialect per 10,000 ah 181 author per 10,000 79 dialect per 10,000 € 177 author per 10,000 10 dialect per 10,000 wiz 138 author per 10,000 0 dialect per 10,000 ma 134 author per 10,000 56 dialect per 10,000 in 125 author per 10,000 111 dialect per 10,000 tae 112 author per 10,000 206 dialect per 10,000 €™ 108 author per 10,000 11 dialect per 10,000 €™s 95 author per 10,000 32 dialect per 10,000 on 95 author per 10,000 50 dialect per 10,000 it 95 author per 10,000 60 dialect per 10,000 he 91 author per 10,000 15 dialect per 10,000 fae 73 author per 10,000 6 dialect per 10,000 doon 73 author per 10,000 25 dialect per 10,000 - 69 author per 10,000 28 dialect per 10,000 oot 69 author per 10,000 34 dialect per 10,000 there 60 author per 10,000 16 dialect per 10,000 wi 60 author per 10,000 71 dialect per 10,000 like 60 author per 10,000 7 dialect per 10,000 that 56 author per 10,000 61 dialect per 10,000 €“ 52 author per 10,000 1 dialect per 10,000 up 52 author per 10,000 41 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 11 dialect per 10,000 me 48 author per 10,000 13 dialect per 10,000 thon 48 author per 10,000 3 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 38 dialect per 10,000 intae 43 author per 10,000 13 dialect per 10,000 as 43 author per 10,000 52 dialect per 10,000 her 43 author per 10,000 15 dialect per 10,000 night 43 author per 10,000 1 dialect per 10,000 jist 43 author per 10,000 16 dialect per 10,000 bit 43 author per 10,000 18 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 18 dialect per 10,000 nae 39 author per 10,000 26 dialect per 10,000 we 39 author per 10,000 18 dialect per 10,000 mars 39 author per 10,000 0 dialect per 10,000 where 35 author per 10,000 2 dialect per 10,000 €™d 35 author per 10,000 4 dialect per 10,000 aa 35 author per 10,000 13 dialect per 10,000 or 35 author per 10,000 25 dialect per 10,000 she 30 author per 10,000 78 dialect per 10,000 road 30 author per 10,000 7 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 8 dialect per 10,000 twa 26 author per 10,000 3 dialect per 10,000 ye 26 author per 10,000 31 dialect per 10,000 mebbe 26 author per 10,000 0 dialect per 10,000 wisnae 26 author per 10,000 3 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 when 26 author per 10,000 17 dialect per 10,000 mi 26 author per 10,000 1 dialect per 10,000 aff 22 author per 10,000 6 dialect per 10,000 ay 22 author per 10,000 12 dialect per 10,000 i 22 author per 10,000 62 dialect per 10,000 even 22 author per 10,000 6 dialect per 10,000 their 22 author per 10,000 14 dialect per 10,000 light 22 author per 10,000 1 dialect per 10,000 faither 22 author per 10,000 8 dialect per 10,000 grass 22 author per 10,000 1 dialect per 10,000 and 22 author per 10,000 22 dialect per 10,000 close 22 author per 10,000 3 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 this 22 author per 10,000 32 dialect per 10,000 fuckin 17 author per 10,000 0 dialect per 10,000 masel 17 author per 10,000 5 dialect per 10,000 mary 17 author per 10,000 1 dialect per 10,000 dad 17 author per 10,000 0 dialect per 10,000 space 17 author per 10,000 1 dialect per 10,000 enough 17 author per 10,000 5 dialect per 10,000 them 17 author per 10,000 4 dialect per 10,000 you 17 author per 10,000 3 dialect per 10,000 again 17 author per 10,000 4 dialect per 10,000 ken 17 author per 10,000 18 dialect per 10,000 get 17 author per 10,000 11 dialect per 10,000 be 17 author per 10,000 13 dialect per 10,000 so 17 author per 10,000 3 dialect per 10,000 past 17 author per 10,000 2 dialect per 10,000 bar 17 author per 10,000 1 dialect per 10,000 yer 17 author per 10,000 20 dialect per 10,000 come 17 author per 10,000 8 dialect per 10,000 chain 17 author per 10,000 0 dialect per 10,000 burn 17 author per 10,000 5 dialect per 10,000 behind 17 author per 10,000 0 dialect per 10,000 auld 17 author per 10,000 21 dialect per 10,000 ower 17 author per 10,000 16 dialect per 10,000 for 17 author per 10,000 15 dialect per 10,000 love 17 author per 10,000 1 dialect per 10,000 damp 17 author per 10,000 0 dialect per 10,000 nuts 17 author per 10,000 0 dialect per 10,000 dark 17 author per 10,000 2 dialect per 10,000 kept 17 author per 10,000 2 dialect per 10,000 swing 13 author per 10,000 0 dialect per 10,000 been 13 author per 10,000 9 dialect per 10,000 noo 13 author per 10,000 13 dialect per 10,000 his 13 author per 10,000 38 dialect per 10,000 us 13 author per 10,000 7 dialect per 10,000 could 13 author per 10,000 13 dialect per 10,000 cried 13 author per 10,000 3 dialect per 10,000 €œ 13 author per 10,000 0 dialect per 10,000 oan 13 author per 10,000 41 dialect per 10,000 draw 13 author per 10,000 1 dialect per 10,000 didnae 13 author per 10,000 5 dialect per 10,000 now 13 author per 10,000 1 dialect per 10,000 at 13 author per 10,000 70 dialect per 10,000 if 13 author per 10,000 16 dialect per 10,000 else 13 author per 10,000 2 dialect per 10,000 wee 13 author per 10,000 24 dialect per 10,000 €œwhit 13 author per 10,000 0 dialect per 10,000 thir 13 author per 10,000 5 dialect per 10,000 know 13 author per 10,000 1 dialect per 10,000 wan 13 author per 10,000 1 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 3 dialect per 10,000 towards 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 16 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 kent 13 author per 10,000 12 dialect per 10,000 comin 13 author per 10,000 2 dialect per 10,000 is 13 author per 10,000 60 dialect per 10,000 which 13 author per 10,000 7 dialect per 10,000 far 13 author per 10,000 2 dialect per 10,000 time 13 author per 10,000 15 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 same 13 author per 10,000 6 dialect per 10,000 cowboy 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 12 dialect per 10,000 thing 13 author per 10,000 3 dialect per 10,000 black 13 author per 10,000 2 dialect per 10,000 wifey 13 author per 10,000 0 dialect per 10,000 linwood 13 author per 10,000 0 dialect per 10,000 some 13 author per 10,000 12 dialect per 10,000 fast 13 author per 10,000 1 dialect per 10,000 drive 13 author per 10,000 0 dialect per 10,000 low 13 author per 10,000 2 dialect per 10,000 see 13 author per 10,000 6 dialect per 10,000 right 13 author per 10,000 2 dialect per 10,000 couldnae 13 author per 10,000 3 dialect per 10,000 him 9 author per 10,000 13 dialect per 10,000 milk 9 author per 10,000 1 dialect per 10,000 keep 9 author per 10,000 3 dialect per 10,000 aboot 9 author per 10,000 28 dialect per 10,000 €¦ 9 author per 10,000 1 dialect per 10,000 made 9 author per 10,000 6 dialect per 10,000 €œaye 9 author per 10,000 0 dialect per 10,000 never 9 author per 10,000 5 dialect per 10,000 can 9 author per 10,000 12 dialect per 10,000 but 9 author per 10,000 39 dialect per 10,000 slung 9 author per 10,000 0 dialect per 10,000 €œquick 9 author per 10,000 0 dialect per 10,000 another 9 author per 10,000 1 dialect per 10,000 things 9 author per 10,000 2 dialect per 10,000 middle 9 author per 10,000 2 dialect per 10,000 thought 9 author per 10,000 0 dialect per 10,000 am 9 author per 10,000 2 dialect per 10,000 shite 9 author per 10,000 0 dialect per 10,000 sing 9 author per 10,000 2 dialect per 10,000 €œyou 9 author per 10,000 0 dialect per 10,000 side 9 author per 10,000 7 dialect per 10,000 well 9 author per 10,000 2 dialect per 10,000 eric 9 author per 10,000 0 dialect per 10,000 shoulda 9 author per 10,000 0 dialect per 10,000 streetlamp 9 author per 10,000 0 dialect per 10,000 pistol 9 author per 10,000 0 dialect per 10,000 dragged 9 author per 10,000 0 dialect per 10,000 brediland 9 author per 10,000 0 dialect per 10,000 bus 9 author per 10,000 1 dialect per 10,000 ha 9 author per 10,000 0 dialect per 10,000 aat 9 author per 10,000 0 dialect per 10,000 stript 9 author per 10,000 0 dialect per 10,000 hill 9 author per 10,000 5 dialect per 10,000 intil 9 author per 10,000 9 dialect per 10,000 hillman 9 author per 10,000 0 dialect per 10,000 years 9 author per 10,000 4 dialect per 10,000 they 9 author per 10,000 35 dialect per 10,000 structure 9 author per 10,000 0 dialect per 10,000 voices 9 author per 10,000 1 dialect per 10,000 docks 9 author per 10,000 0 dialect per 10,000 lassies 9 author per 10,000 1 dialect per 10,000 dry 9 author per 10,000 2 dialect per 10,000 grun 9 author per 10,000 1 dialect per 10,000 dizzy 9 author per 10,000 0 dialect per 10,000 fell 9 author per 10,000 2 dialect per 10,000 mattress 9 author per 10,000 0 dialect per 10,000 ablo 9 author per 10,000 1 dialect per 10,000 bank 9 author per 10,000 1 dialect per 10,000 below 9 author per 10,000 1 dialect per 10,000 high 9 author per 10,000 4 dialect per 10,000 rope 9 author per 10,000 0 dialect per 10,000 tree 9 author per 10,000 2 dialect per 10,000 hung 9 author per 10,000 0 dialect per 10,000
Ulster
the 687 author per 10,000 209 dialect per 10,000 an 415 author per 10,000 413 dialect per 10,000 a 216 author per 10,000 292 dialect per 10,000 o 186 author per 10,000 249 dialect per 10,000 ah 181 author per 10,000 16 dialect per 10,000 € 177 author per 10,000 5 dialect per 10,000 wiz 138 author per 10,000 2 dialect per 10,000 ma 134 author per 10,000 25 dialect per 10,000 in 125 author per 10,000 102 dialect per 10,000 tae 112 author per 10,000 252 dialect per 10,000 €™ 108 author per 10,000 17 dialect per 10,000 €™s 95 author per 10,000 14 dialect per 10,000 on 95 author per 10,000 66 dialect per 10,000 it 95 author per 10,000 78 dialect per 10,000 he 91 author per 10,000 77 dialect per 10,000 fae 73 author per 10,000 10 dialect per 10,000 doon 73 author per 10,000 33 dialect per 10,000 - 69 author per 10,000 22 dialect per 10,000 oot 69 author per 10,000 56 dialect per 10,000 there 60 author per 10,000 6 dialect per 10,000 wi 60 author per 10,000 74 dialect per 10,000 like 60 author per 10,000 10 dialect per 10,000 that 56 author per 10,000 81 dialect per 10,000 €“ 52 author per 10,000 0 dialect per 10,000 up 52 author per 10,000 36 dialect per 10,000 seyd 52 author per 10,000 0 dialect per 10,000 bi 52 author per 10,000 8 dialect per 10,000 me 48 author per 10,000 24 dialect per 10,000 thon 48 author per 10,000 17 dialect per 10,000 derek 48 author per 10,000 0 dialect per 10,000 fur 43 author per 10,000 51 dialect per 10,000 intae 43 author per 10,000 11 dialect per 10,000 as 43 author per 10,000 30 dialect per 10,000 her 43 author per 10,000 8 dialect per 10,000 night 43 author per 10,000 0 dialect per 10,000 jist 43 author per 10,000 11 dialect per 10,000 bit 43 author per 10,000 7 dialect per 10,000 bars 39 author per 10,000 0 dialect per 10,000 then 39 author per 10,000 19 dialect per 10,000 nae 39 author per 10,000 24 dialect per 10,000 we 39 author per 10,000 17 dialect per 10,000 mars 39 author per 10,000 0 dialect per 10,000 where 35 author per 10,000 0 dialect per 10,000 €™d 35 author per 10,000 2 dialect per 10,000 aa 35 author per 10,000 43 dialect per 10,000 or 35 author per 10,000 43 dialect per 10,000 she 30 author per 10,000 16 dialect per 10,000 road 30 author per 10,000 3 dialect per 10,000 lexwell 30 author per 10,000 0 dialect per 10,000 thit 26 author per 10,000 0 dialect per 10,000 twa 26 author per 10,000 12 dialect per 10,000 ye 26 author per 10,000 86 dialect per 10,000 mebbe 26 author per 10,000 2 dialect per 10,000 wisnae 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 2 dialect per 10,000 when 26 author per 10,000 2 dialect per 10,000 mi 26 author per 10,000 0 dialect per 10,000 aff 22 author per 10,000 17 dialect per 10,000 ay 22 author per 10,000 3 dialect per 10,000 i 22 author per 10,000 9 dialect per 10,000 even 22 author per 10,000 4 dialect per 10,000 their 22 author per 10,000 6 dialect per 10,000 light 22 author per 10,000 0 dialect per 10,000 faither 22 author per 10,000 9 dialect per 10,000 grass 22 author per 10,000 0 dialect per 10,000 and 22 author per 10,000 6 dialect per 10,000 close 22 author per 10,000 1 dialect per 10,000 hid 22 author per 10,000 0 dialect per 10,000 this 22 author per 10,000 29 dialect per 10,000 fuckin 17 author per 10,000 0 dialect per 10,000 masel 17 author per 10,000 1 dialect per 10,000 mary 17 author per 10,000 3 dialect per 10,000 dad 17 author per 10,000 0 dialect per 10,000 space 17 author per 10,000 0 dialect per 10,000 enough 17 author per 10,000 0 dialect per 10,000 them 17 author per 10,000 6 dialect per 10,000 you 17 author per 10,000 5 dialect per 10,000 again 17 author per 10,000 1 dialect per 10,000 ken 17 author per 10,000 3 dialect per 10,000 get 17 author per 10,000 8 dialect per 10,000 be 17 author per 10,000 47 dialect per 10,000 so 17 author per 10,000 5 dialect per 10,000 past 17 author per 10,000 1 dialect per 10,000 bar 17 author per 10,000 0 dialect per 10,000 yer 17 author per 10,000 44 dialect per 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draw 13 author per 10,000 0 dialect per 10,000 didnae 13 author per 10,000 5 dialect per 10,000 now 13 author per 10,000 0 dialect per 10,000 at 13 author per 10,000 45 dialect per 10,000 if 13 author per 10,000 15 dialect per 10,000 else 13 author per 10,000 1 dialect per 10,000 wee 13 author per 10,000 26 dialect per 10,000 €œwhit 13 author per 10,000 0 dialect per 10,000 thir 13 author per 10,000 5 dialect per 10,000 know 13 author per 10,000 12 dialect per 10,000 wan 13 author per 10,000 0 dialect per 10,000 €œderek 13 author per 10,000 0 dialect per 10,000 themselves 13 author per 10,000 0 dialect per 10,000 glug 13 author per 10,000 0 dialect per 10,000 sensed 13 author per 10,000 0 dialect per 10,000 cauld 13 author per 10,000 0 dialect per 10,000 towards 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 4 dialect per 10,000 milky 13 author per 10,000 0 dialect per 10,000 left 13 author per 10,000 4 dialect per 10,000 kent 13 author per 10,000 1 dialect per 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