A Corpus of 21st Century Scots Texts

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Fowler, Ross


Total words by this author in corpus - 607
Total unique words used by this author in corpus - 241
Ratio of total words to unique words - 2.519
Top ten most common words - the, a, tae, and, wis, an, ma, he, him, o,

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 626 author per 10,000 557 dialect per 10,000 a 412 author per 10,000 261 dialect per 10,000 tae 329 author per 10,000 212 dialect per 10,000 and 329 author per 10,000 102 dialect per 10,000 wis 247 author per 10,000 99 dialect per 10,000 an 231 author per 10,000 217 dialect per 10,000 ma 198 author per 10,000 51 dialect per 10,000 he 198 author per 10,000 92 dialect per 10,000 him 165 author per 10,000 30 dialect per 10,000 o 165 author per 10,000 192 dialect per 10,000 it 148 author per 10,000 119 dialect per 10,000 that 132 author per 10,000 110 dialect per 10,000 oot 132 author per 10,000 39 dialect per 10,000 we 132 author per 10,000 35 dialect per 10,000 up 115 author per 10,000 40 dialect per 10,000 i 115 author per 10,000 40 dialect per 10,000 at 115 author per 10,000 58 dialect per 10,000 in 115 author per 10,000 148 dialect per 10,000 bit 99 author per 10,000 15 dialect per 10,000 me 99 author per 10,000 41 dialect per 10,000 fitba 99 author per 10,000 1 dialect per 10,000 his 99 author per 10,000 55 dialect per 10,000 faither 99 author per 10,000 4 dialect per 10,000 hid 82 author per 10,000 1 dialect per 10,000 jist 82 author per 10,000 22 dialect per 10,000 wint 82 author per 10,000 1 dialect per 10,000 doon 82 author per 10,000 17 dialect per 10,000 be 82 author per 10,000 50 dialect per 10,000 baith 66 author per 10,000 5 dialect per 10,000 hauf 66 author per 10,000 3 dialect per 10,000 telt 66 author per 10,000 5 dialect per 10,000 got 66 author per 10,000 12 dialect per 10,000 wi 66 author per 10,000 65 dialect per 10,000 gairden 66 author per 10,000 1 dialect per 10,000 wir 66 author per 10,000 3 dialect per 10,000 then 66 author per 10,000 16 dialect per 10,000 see 66 author per 10,000 17 dialect per 10,000 freen 49 author per 10,000 0 dialect per 10,000 she 49 author per 10,000 57 dialect per 10,000 didna 49 author per 10,000 5 dialect per 10,000 came 49 author per 10,000 3 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 4 dialect per 10,000 come 49 author per 10,000 9 dialect per 10,000 ba 49 author per 10,000 0 dialect per 10,000 there 49 author per 10,000 25 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 6 dialect per 10,000 aboot 49 author per 10,000 30 dialect per 10,000 getting 49 author per 10,000 1 dialect per 10,000 us 49 author per 10,000 15 dialect per 10,000 intae 49 author per 10,000 18 dialect per 10,000 wid 49 author per 10,000 9 dialect per 10,000 were 49 author per 10,000 16 dialect per 10,000 ane 49 author per 10,000 10 dialect per 10,000 settled 49 author per 10,000 0 dialect per 10,000 thocht 33 author per 10,000 8 dialect per 10,000 second 33 author per 10,000 1 dialect per 10,000 can 33 author per 10,000 16 dialect per 10,000 anither 33 author per 10,000 6 dialect per 10,000 bleed 33 author per 10,000 0 dialect per 10,000 playin 33 author per 10,000 1 dialect per 10,000 cos 33 author per 10,000 1 dialect per 10,000 lookit 33 author per 10,000 1 dialect per 10,000 through 33 author per 10,000 6 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 3 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 ower 33 author per 10,000 18 dialect per 10,000 stood 33 author per 10,000 2 dialect per 10,000 look 33 author per 10,000 5 dialect per 10,000 as 33 author per 10,000 59 dialect per 10,000 weel 33 author per 10,000 9 dialect per 10,000 its 33 author per 10,000 10 dialect per 10,000 neb 33 author per 10,000 1 dialect per 10,000 back 33 author per 10,000 20 dialect per 10,000 hoose 33 author per 10,000 7 dialect per 10,000 said 33 author per 10,000 44 dialect per 10,000 aff 33 author per 10,000 14 dialect per 10,000 could 33 author per 10,000 9 dialect per 10,000 better 33 author per 10,000 5 dialect per 10,000 front 33 author per 10,000 3 dialect per 10,000 match 33 author per 10,000 0 dialect per 10,000 road 33 author per 10,000 3 dialect per 10,000 fan 33 author per 10,000 0 dialect per 10,000 gie 33 author per 10,000 7 dialect per 10,000 watch 33 author per 10,000 2 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 0 dialect per 10,000 so 33 author per 10,000 9 dialect per 10,000 her 33 author per 10,000 45 dialect per 10,000 gaen 33 author per 10,000 0 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 3 dialect per 10,000 awa 16 author per 10,000 11 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 0 dialect per 10,000 richt 16 author per 10,000 13 dialect per 10,000 aroond 16 author per 10,000 2 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 2 dialect per 10,000 twa 16 author per 10,000 10 dialect per 10,000 sure 16 author per 10,000 2 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 27 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 0 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 1 dialect per 10,000 run 16 author per 10,000 2 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 3 dialect per 10,000 waitin 16 author per 10,000 1 dialect per 10,000 quick 16 author per 10,000 1 dialect per 10,000 move 16 author per 10,000 1 dialect per 10,000 onything 16 author per 10,000 0 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 1 dialect per 10,000 asked 16 author per 10,000 2 dialect per 10,000 morning 16 author per 10,000 0 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 0 dialect per 10,000 mad 16 author per 10,000 1 dialect per 10,000 new 16 author per 10,000 7 dialect per 10,000 micht 16 author per 10,000 7 dialect per 10,000 safe 16 author per 10,000 1 dialect per 10,000 will 16 author per 10,000 11 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 1 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 1 dialect per 10,000 s 16 author per 10,000 35 dialect per 10,000 nae 16 author per 10,000 22 dialect per 10,000 day 16 author per 10,000 13 dialect per 10,000 again 16 author per 10,000 8 dialect per 10,000 bad 16 author per 10,000 3 dialect per 10,000 sae 16 author per 10,000 15 dialect per 10,000 shook 16 author per 10,000 0 dialect per 10,000 heid 16 author per 10,000 10 dialect per 10,000 clean 16 author per 10,000 1 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 1 dialect per 10,000 sic 16 author per 10,000 5 dialect per 10,000 daft 16 author per 10,000 1 dialect per 10,000 walkit 16 author per 10,000 0 dialect per 10,000 my 16 author per 10,000 6 dialect per 10,000 git 16 author per 10,000 3 dialect per 10,000 stop 16 author per 10,000 1 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 5 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 2 dialect per 10,000 fit 16 author per 10,000 2 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 1 dialect per 10,000 excited 16 author per 10,000 0 dialect per 10,000 fair 16 author per 10,000 3 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 0 dialect per 10,000 freens 16 author per 10,000 0 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 18 dialect per 10,000 atween 16 author per 10,000 3 dialect per 10,000 final 16 author per 10,000 0 dialect per 10,000 sunday 16 author per 10,000 1 dialect per 10,000 but 16 author per 10,000 48 dialect per 10,000 last 16 author per 10,000 6 dialect per 10,000 muckle 16 author per 10,000 10 dialect per 10,000 wisna 16 author per 10,000 3 dialect per 10,000 rest 16 author per 10,000 2 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 2 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 9 dialect per 10,000 happened 16 author per 10,000 1 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 4 dialect per 10,000 time 16 author per 10,000 17 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 20 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 1 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 0 dialect per 10,000 naething 16 author per 10,000 1 dialect per 10,000 bell 16 author per 10,000 1 dialect per 10,000
Doric
the 626 author per 10,000 483 dialect per 10,000 a 412 author per 10,000 295 dialect per 10,000 tae 329 author per 10,000 168 dialect per 10,000 and 329 author per 10,000 45 dialect per 10,000 wis 247 author per 10,000 107 dialect per 10,000 an 231 author per 10,000 309 dialect per 10,000 ma 198 author per 10,000 50 dialect per 10,000 he 198 author per 10,000 99 dialect per 10,000 him 165 author per 10,000 34 dialect per 10,000 o 165 author per 10,000 183 dialect per 10,000 it 148 author per 10,000 106 dialect per 10,000 that 132 author per 10,000 54 dialect per 10,000 oot 132 author per 10,000 51 dialect per 10,000 we 132 author per 10,000 21 dialect per 10,000 up 115 author per 10,000 46 dialect per 10,000 i 115 author per 10,000 73 dialect per 10,000 at 115 author per 10,000 60 dialect per 10,000 in 115 author per 10,000 136 dialect per 10,000 bit 99 author per 10,000 45 dialect per 10,000 me 99 author per 10,000 30 dialect per 10,000 fitba 99 author per 10,000 1 dialect per 10,000 his 99 author per 10,000 73 dialect per 10,000 faither 99 author per 10,000 5 dialect per 10,000 hid 82 author per 10,000 38 dialect per 10,000 jist 82 author per 10,000 36 dialect per 10,000 wint 82 author per 10,000 9 dialect per 10,000 doon 82 author per 10,000 37 dialect per 10,000 be 82 author per 10,000 46 dialect per 10,000 baith 66 author per 10,000 5 dialect per 10,000 hauf 66 author per 10,000 2 dialect per 10,000 telt 66 author per 10,000 9 dialect per 10,000 got 66 author per 10,000 14 dialect per 10,000 wi 66 author per 10,000 83 dialect per 10,000 gairden 66 author per 10,000 2 dialect per 10,000 wir 66 author per 10,000 5 dialect per 10,000 then 66 author per 10,000 9 dialect per 10,000 see 66 author per 10,000 21 dialect per 10,000 freen 49 author per 10,000 2 dialect per 10,000 she 49 author per 10,000 63 dialect per 10,000 didna 49 author per 10,000 9 dialect per 10,000 came 49 author per 10,000 5 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 8 dialect per 10,000 come 49 author per 10,000 14 dialect per 10,000 ba 49 author per 10,000 1 dialect per 10,000 there 49 author per 10,000 21 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 19 dialect per 10,000 aboot 49 author per 10,000 35 dialect per 10,000 getting 49 author per 10,000 1 dialect per 10,000 us 49 author per 10,000 6 dialect per 10,000 intae 49 author per 10,000 11 dialect per 10,000 wid 49 author per 10,000 17 dialect per 10,000 were 49 author per 10,000 13 dialect per 10,000 ane 49 author per 10,000 6 dialect per 10,000 settled 49 author per 10,000 0 dialect per 10,000 thocht 33 author per 10,000 13 dialect per 10,000 second 33 author per 10,000 1 dialect per 10,000 can 33 author per 10,000 12 dialect per 10,000 anither 33 author per 10,000 8 dialect per 10,000 bleed 33 author per 10,000 1 dialect per 10,000 playin 33 author per 10,000 1 dialect per 10,000 cos 33 author per 10,000 1 dialect per 10,000 lookit 33 author per 10,000 3 dialect per 10,000 through 33 author per 10,000 3 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 3 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 15 dialect per 10,000 ower 33 author per 10,000 29 dialect per 10,000 stood 33 author per 10,000 2 dialect per 10,000 look 33 author per 10,000 7 dialect per 10,000 as 33 author per 10,000 53 dialect per 10,000 weel 33 author per 10,000 18 dialect per 10,000 its 33 author per 10,000 8 dialect per 10,000 neb 33 author per 10,000 1 dialect per 10,000 back 33 author per 10,000 23 dialect per 10,000 hoose 33 author per 10,000 12 dialect per 10,000 said 33 author per 10,000 34 dialect per 10,000 aff 33 author per 10,000 13 dialect per 10,000 could 33 author per 10,000 7 dialect per 10,000 better 33 author per 10,000 7 dialect per 10,000 front 33 author per 10,000 3 dialect per 10,000 match 33 author per 10,000 1 dialect per 10,000 road 33 author per 10,000 5 dialect per 10,000 fan 33 author per 10,000 17 dialect per 10,000 gie 33 author per 10,000 8 dialect per 10,000 watch 33 author per 10,000 2 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 1 dialect per 10,000 so 33 author per 10,000 13 dialect per 10,000 her 33 author per 10,000 66 dialect per 10,000 gaen 33 author per 10,000 1 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 4 dialect per 10,000 awa 16 author per 10,000 24 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 1 dialect per 10,000 richt 16 author per 10,000 18 dialect per 10,000 aroond 16 author per 10,000 0 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 1 dialect per 10,000 twa 16 author per 10,000 19 dialect per 10,000 sure 16 author per 10,000 4 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 27 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 0 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 1 dialect per 10,000 run 16 author per 10,000 2 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 1 dialect per 10,000 waitin 16 author per 10,000 1 dialect per 10,000 quick 16 author per 10,000 1 dialect per 10,000 move 16 author per 10,000 1 dialect per 10,000 onything 16 author per 10,000 1 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 1 dialect per 10,000 asked 16 author per 10,000 1 dialect per 10,000 morning 16 author per 10,000 0 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 1 dialect per 10,000 mad 16 author per 10,000 0 dialect per 10,000 new 16 author per 10,000 6 dialect per 10,000 micht 16 author per 10,000 6 dialect per 10,000 safe 16 author per 10,000 1 dialect per 10,000 will 16 author per 10,000 10 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 3 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 1 dialect per 10,000 s 16 author per 10,000 21 dialect per 10,000 nae 16 author per 10,000 50 dialect per 10,000 day 16 author per 10,000 31 dialect per 10,000 again 16 author per 10,000 9 dialect per 10,000 bad 16 author per 10,000 3 dialect per 10,000 sae 16 author per 10,000 15 dialect per 10,000 shook 16 author per 10,000 2 dialect per 10,000 heid 16 author per 10,000 11 dialect per 10,000 clean 16 author per 10,000 2 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 0 dialect per 10,000 sic 16 author per 10,000 5 dialect per 10,000 daft 16 author per 10,000 1 dialect per 10,000 walkit 16 author per 10,000 0 dialect per 10,000 my 16 author per 10,000 11 dialect per 10,000 git 16 author per 10,000 4 dialect per 10,000 stop 16 author per 10,000 2 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 6 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 2 dialect per 10,000 fit 16 author per 10,000 43 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 0 dialect per 10,000 excited 16 author per 10,000 0 dialect per 10,000 fair 16 author per 10,000 8 dialect per 10,000 aifter 16 author per 10,000 2 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 1 dialect per 10,000 freens 16 author per 10,000 2 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 18 dialect per 10,000 atween 16 author per 10,000 4 dialect per 10,000 final 16 author per 10,000 1 dialect per 10,000 sunday 16 author per 10,000 4 dialect per 10,000 but 16 author per 10,000 19 dialect per 10,000 last 16 author per 10,000 5 dialect per 10,000 muckle 16 author per 10,000 10 dialect per 10,000 wisna 16 author per 10,000 6 dialect per 10,000 rest 16 author per 10,000 1 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 9 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 7 dialect per 10,000 happened 16 author per 10,000 2 dialect per 10,000 beer 16 author per 10,000 1 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 3 dialect per 10,000 time 16 author per 10,000 20 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 17 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 3 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 2 dialect per 10,000 naething 16 author per 10,000 2 dialect per 10,000 bell 16 author per 10,000 1 dialect per 10,000
Shetland
the 626 author per 10,000 20 dialect per 10,000 a 412 author per 10,000 279 dialect per 10,000 tae 329 author per 10,000 74 dialect per 10,000 and 329 author per 10,000 16 dialect per 10,000 wis 247 author per 10,000 180 dialect per 10,000 an 231 author per 10,000 339 dialect per 10,000 ma 198 author per 10,000 0 dialect per 10,000 he 198 author per 10,000 120 dialect per 10,000 him 165 author per 10,000 55 dialect per 10,000 o 165 author per 10,000 158 dialect per 10,000 it 148 author per 10,000 60 dialect per 10,000 that 132 author per 10,000 4 dialect per 10,000 oot 132 author per 10,000 47 dialect per 10,000 we 132 author per 10,000 44 dialect per 10,000 up 115 author per 10,000 45 dialect per 10,000 i 115 author per 10,000 162 dialect per 10,000 at 115 author per 10,000 109 dialect per 10,000 in 115 author per 10,000 97 dialect per 10,000 bit 99 author per 10,000 39 dialect per 10,000 me 99 author per 10,000 48 dialect per 10,000 fitba 99 author per 10,000 0 dialect per 10,000 his 99 author per 10,000 59 dialect per 10,000 faither 99 author per 10,000 0 dialect per 10,000 hid 82 author per 10,000 1 dialect per 10,000 jist 82 author per 10,000 0 dialect per 10,000 wint 82 author per 10,000 2 dialect per 10,000 doon 82 author per 10,000 25 dialect per 10,000 be 82 author per 10,000 52 dialect per 10,000 baith 66 author per 10,000 3 dialect per 10,000 hauf 66 author per 10,000 0 dialect per 10,000 telt 66 author per 10,000 8 dialect per 10,000 got 66 author per 10,000 9 dialect per 10,000 wi 66 author per 10,000 95 dialect per 10,000 gairden 66 author per 10,000 2 dialect per 10,000 wir 66 author per 10,000 52 dialect per 10,000 then 66 author per 10,000 0 dialect per 10,000 see 66 author per 10,000 21 dialect per 10,000 freen 49 author per 10,000 0 dialect per 10,000 she 49 author per 10,000 8 dialect per 10,000 didna 49 author per 10,000 12 dialect per 10,000 came 49 author per 10,000 0 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 0 dialect per 10,000 come 49 author per 10,000 20 dialect per 10,000 ba 49 author per 10,000 0 dialect per 10,000 there 49 author per 10,000 1 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 23 dialect per 10,000 aboot 49 author per 10,000 41 dialect per 10,000 getting 49 author per 10,000 0 dialect per 10,000 us 49 author per 10,000 1 dialect per 10,000 intae 49 author per 10,000 8 dialect per 10,000 wid 49 author per 10,000 42 dialect per 10,000 were 49 author per 10,000 3 dialect per 10,000 ane 49 author per 10,000 5 dialect per 10,000 settled 49 author per 10,000 1 dialect per 10,000 thocht 33 author per 10,000 0 dialect per 10,000 second 33 author per 10,000 2 dialect per 10,000 can 33 author per 10,000 19 dialect per 10,000 anither 33 author per 10,000 0 dialect per 10,000 bleed 33 author per 10,000 0 dialect per 10,000 playin 33 author per 10,000 1 dialect per 10,000 cos 33 author per 10,000 0 dialect per 10,000 lookit 33 author per 10,000 7 dialect per 10,000 through 33 author per 10,000 0 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 11 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 12 dialect per 10,000 ower 33 author per 10,000 28 dialect per 10,000 stood 33 author per 10,000 0 dialect per 10,000 look 33 author per 10,000 7 dialect per 10,000 as 33 author per 10,000 77 dialect per 10,000 weel 33 author per 10,000 20 dialect per 10,000 its 33 author per 10,000 3 dialect per 10,000 neb 33 author per 10,000 0 dialect per 10,000 back 33 author per 10,000 19 dialect per 10,000 hoose 33 author per 10,000 9 dialect per 10,000 said 33 author per 10,000 73 dialect per 10,000 aff 33 author per 10,000 20 dialect per 10,000 could 33 author per 10,000 13 dialect per 10,000 better 33 author per 10,000 8 dialect per 10,000 front 33 author per 10,000 0 dialect per 10,000 match 33 author per 10,000 0 dialect per 10,000 road 33 author per 10,000 0 dialect per 10,000 fan 33 author per 10,000 7 dialect per 10,000 gie 33 author per 10,000 10 dialect per 10,000 watch 33 author per 10,000 2 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 0 dialect per 10,000 so 33 author per 10,000 29 dialect per 10,000 her 33 author per 10,000 69 dialect per 10,000 gaen 33 author per 10,000 0 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 5 dialect per 10,000 awa 16 author per 10,000 14 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 0 dialect per 10,000 richt 16 author per 10,000 14 dialect per 10,000 aroond 16 author per 10,000 7 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 3 dialect per 10,000 twa 16 author per 10,000 11 dialect per 10,000 sure 16 author per 10,000 5 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 36 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 0 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 0 dialect per 10,000 run 16 author per 10,000 2 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 14 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 0 dialect per 10,000 waitin 16 author per 10,000 2 dialect per 10,000 quick 16 author per 10,000 1 dialect per 10,000 move 16 author per 10,000 0 dialect per 10,000 onything 16 author per 10,000 6 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 0 dialect per 10,000 morning 16 author per 10,000 0 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 0 dialect per 10,000 mad 16 author per 10,000 2 dialect per 10,000 new 16 author per 10,000 8 dialect per 10,000 micht 16 author per 10,000 4 dialect per 10,000 safe 16 author per 10,000 1 dialect per 10,000 will 16 author per 10,000 9 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 0 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 s 16 author per 10,000 19 dialect per 10,000 nae 16 author per 10,000 25 dialect per 10,000 day 16 author per 10,000 19 dialect per 10,000 again 16 author per 10,000 6 dialect per 10,000 bad 16 author per 10,000 1 dialect per 10,000 sae 16 author per 10,000 8 dialect per 10,000 shook 16 author per 10,000 1 dialect per 10,000 heid 16 author per 10,000 2 dialect per 10,000 clean 16 author per 10,000 2 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 0 dialect per 10,000 sic 16 author per 10,000 2 dialect per 10,000 daft 16 author per 10,000 0 dialect per 10,000 walkit 16 author per 10,000 1 dialect per 10,000 my 16 author per 10,000 28 dialect per 10,000 git 16 author per 10,000 4 dialect per 10,000 stop 16 author per 10,000 1 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 8 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 2 dialect per 10,000 fit 16 author per 10,000 4 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 0 dialect per 10,000 excited 16 author per 10,000 0 dialect per 10,000 fair 16 author per 10,000 1 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 0 dialect per 10,000 freens 16 author per 10,000 0 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 28 dialect per 10,000 atween 16 author per 10,000 4 dialect per 10,000 final 16 author per 10,000 0 dialect per 10,000 sunday 16 author per 10,000 1 dialect per 10,000 but 16 author per 10,000 29 dialect per 10,000 last 16 author per 10,000 6 dialect per 10,000 muckle 16 author per 10,000 14 dialect per 10,000 wisna 16 author per 10,000 11 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 4 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 11 dialect per 10,000 happened 16 author per 10,000 3 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 0 dialect per 10,000 time 16 author per 10,000 23 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 17 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 1 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 2 dialect per 10,000 naething 16 author per 10,000 0 dialect per 10,000 bell 16 author per 10,000 0 dialect per 10,000
Orkney
the 626 author per 10,000 584 dialect per 10,000 a 412 author per 10,000 296 dialect per 10,000 tae 329 author per 10,000 222 dialect per 10,000 and 329 author per 10,000 192 dialect per 10,000 wis 247 author per 10,000 79 dialect per 10,000 an 231 author per 10,000 178 dialect per 10,000 ma 198 author per 10,000 1 dialect per 10,000 he 198 author per 10,000 88 dialect per 10,000 him 165 author per 10,000 21 dialect per 10,000 o 165 author per 10,000 198 dialect per 10,000 it 148 author per 10,000 23 dialect per 10,000 that 132 author per 10,000 75 dialect per 10,000 oot 132 author per 10,000 51 dialect per 10,000 we 132 author per 10,000 30 dialect per 10,000 up 115 author per 10,000 33 dialect per 10,000 i 115 author per 10,000 156 dialect per 10,000 at 115 author per 10,000 52 dialect per 10,000 in 115 author per 10,000 147 dialect per 10,000 bit 99 author per 10,000 48 dialect per 10,000 me 99 author per 10,000 111 dialect per 10,000 fitba 99 author per 10,000 0 dialect per 10,000 his 99 author per 10,000 63 dialect per 10,000 faither 99 author per 10,000 2 dialect per 10,000 hid 82 author per 10,000 94 dialect per 10,000 jist 82 author per 10,000 3 dialect per 10,000 wint 82 author per 10,000 0 dialect per 10,000 doon 82 author per 10,000 28 dialect per 10,000 be 82 author per 10,000 42 dialect per 10,000 baith 66 author per 10,000 1 dialect per 10,000 hauf 66 author per 10,000 0 dialect per 10,000 telt 66 author per 10,000 4 dialect per 10,000 got 66 author per 10,000 12 dialect per 10,000 wi 66 author per 10,000 47 dialect per 10,000 gairden 66 author per 10,000 0 dialect per 10,000 wir 66 author per 10,000 27 dialect per 10,000 then 66 author per 10,000 18 dialect per 10,000 see 66 author per 10,000 16 dialect per 10,000 freen 49 author per 10,000 0 dialect per 10,000 she 49 author per 10,000 8 dialect per 10,000 didna 49 author per 10,000 9 dialect per 10,000 came 49 author per 10,000 1 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 4 dialect per 10,000 come 49 author per 10,000 10 dialect per 10,000 ba 49 author per 10,000 0 dialect per 10,000 there 49 author per 10,000 18 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 5 dialect per 10,000 aboot 49 author per 10,000 27 dialect per 10,000 getting 49 author per 10,000 0 dialect per 10,000 us 49 author per 10,000 6 dialect per 10,000 intae 49 author per 10,000 18 dialect per 10,000 wid 49 author per 10,000 21 dialect per 10,000 were 49 author per 10,000 7 dialect per 10,000 ane 49 author per 10,000 1 dialect per 10,000 settled 49 author per 10,000 0 dialect per 10,000 thocht 33 author per 10,000 0 dialect per 10,000 second 33 author per 10,000 2 dialect per 10,000 can 33 author per 10,000 13 dialect per 10,000 anither 33 author per 10,000 8 dialect per 10,000 bleed 33 author per 10,000 0 dialect per 10,000 playin 33 author per 10,000 0 dialect per 10,000 cos 33 author per 10,000 0 dialect per 10,000 lookit 33 author per 10,000 0 dialect per 10,000 through 33 author per 10,000 8 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 3 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 ower 33 author per 10,000 18 dialect per 10,000 stood 33 author per 10,000 3 dialect per 10,000 look 33 author per 10,000 1 dialect per 10,000 as 33 author per 10,000 49 dialect per 10,000 weel 33 author per 10,000 18 dialect per 10,000 its 33 author per 10,000 2 dialect per 10,000 neb 33 author per 10,000 0 dialect per 10,000 back 33 author per 10,000 27 dialect per 10,000 hoose 33 author per 10,000 11 dialect per 10,000 said 33 author per 10,000 16 dialect per 10,000 aff 33 author per 10,000 8 dialect per 10,000 could 33 author per 10,000 12 dialect per 10,000 better 33 author per 10,000 6 dialect per 10,000 front 33 author per 10,000 1 dialect per 10,000 match 33 author per 10,000 1 dialect per 10,000 road 33 author per 10,000 5 dialect per 10,000 fan 33 author per 10,000 0 dialect per 10,000 gie 33 author per 10,000 2 dialect per 10,000 watch 33 author per 10,000 2 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 0 dialect per 10,000 so 33 author per 10,000 29 dialect per 10,000 her 33 author per 10,000 48 dialect per 10,000 gaen 33 author per 10,000 2 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 0 dialect per 10,000 awa 16 author per 10,000 1 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 0 dialect per 10,000 richt 16 author per 10,000 0 dialect per 10,000 aroond 16 author per 10,000 5 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 2 dialect per 10,000 twa 16 author per 10,000 11 dialect per 10,000 sure 16 author per 10,000 5 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 37 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 0 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 0 dialect per 10,000 run 16 author per 10,000 3 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 17 dialect per 10,000 straight 16 author per 10,000 1 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 3 dialect per 10,000 waitin 16 author per 10,000 0 dialect per 10,000 quick 16 author per 10,000 0 dialect per 10,000 move 16 author per 10,000 2 dialect per 10,000 onything 16 author per 10,000 0 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 1 dialect per 10,000 asked 16 author per 10,000 2 dialect per 10,000 morning 16 author per 10,000 1 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 1 dialect per 10,000 mad 16 author per 10,000 2 dialect per 10,000 new 16 author per 10,000 10 dialect per 10,000 micht 16 author per 10,000 0 dialect per 10,000 safe 16 author per 10,000 1 dialect per 10,000 will 16 author per 10,000 10 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 1 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 s 16 author per 10,000 18 dialect per 10,000 nae 16 author per 10,000 3 dialect per 10,000 day 16 author per 10,000 21 dialect per 10,000 again 16 author per 10,000 12 dialect per 10,000 bad 16 author per 10,000 3 dialect per 10,000 sae 16 author per 10,000 1 dialect per 10,000 shook 16 author per 10,000 0 dialect per 10,000 heid 16 author per 10,000 6 dialect per 10,000 clean 16 author per 10,000 2 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 1 dialect per 10,000 sic 16 author per 10,000 1 dialect per 10,000 daft 16 author per 10,000 1 dialect per 10,000 walkit 16 author per 10,000 0 dialect per 10,000 my 16 author per 10,000 4 dialect per 10,000 git 16 author per 10,000 5 dialect per 10,000 stop 16 author per 10,000 2 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 4 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 0 dialect per 10,000 fit 16 author per 10,000 1 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 1 dialect per 10,000 excited 16 author per 10,000 1 dialect per 10,000 fair 16 author per 10,000 3 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 0 dialect per 10,000 freens 16 author per 10,000 0 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 15 dialect per 10,000 atween 16 author per 10,000 5 dialect per 10,000 final 16 author per 10,000 1 dialect per 10,000 sunday 16 author per 10,000 2 dialect per 10,000 but 16 author per 10,000 28 dialect per 10,000 last 16 author per 10,000 8 dialect per 10,000 muckle 16 author per 10,000 6 dialect per 10,000 wisna 16 author per 10,000 4 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 1 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 7 dialect per 10,000 happened 16 author per 10,000 1 dialect per 10,000 beer 16 author per 10,000 1 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 0 dialect per 10,000 time 16 author per 10,000 18 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 1 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 2 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 1 dialect per 10,000 naething 16 author per 10,000 0 dialect per 10,000 bell 16 author per 10,000 1 dialect per 10,000
Southern
the 626 author per 10,000 484 dialect per 10,000 a 412 author per 10,000 254 dialect per 10,000 tae 329 author per 10,000 198 dialect per 10,000 and 329 author per 10,000 37 dialect per 10,000 wis 247 author per 10,000 62 dialect per 10,000 an 231 author per 10,000 287 dialect per 10,000 ma 198 author per 10,000 63 dialect per 10,000 he 198 author per 10,000 19 dialect per 10,000 him 165 author per 10,000 13 dialect per 10,000 o 165 author per 10,000 200 dialect per 10,000 it 148 author per 10,000 66 dialect per 10,000 that 132 author per 10,000 64 dialect per 10,000 oot 132 author per 10,000 35 dialect per 10,000 we 132 author per 10,000 21 dialect per 10,000 up 115 author per 10,000 40 dialect per 10,000 i 115 author per 10,000 62 dialect per 10,000 at 115 author per 10,000 66 dialect per 10,000 in 115 author per 10,000 118 dialect per 10,000 bit 99 author per 10,000 18 dialect per 10,000 me 99 author per 10,000 20 dialect per 10,000 fitba 99 author per 10,000 0 dialect per 10,000 his 99 author per 10,000 39 dialect per 10,000 faither 99 author per 10,000 8 dialect per 10,000 hid 82 author per 10,000 1 dialect per 10,000 jist 82 author per 10,000 14 dialect per 10,000 wint 82 author per 10,000 0 dialect per 10,000 doon 82 author per 10,000 24 dialect per 10,000 be 82 author per 10,000 16 dialect per 10,000 baith 66 author per 10,000 6 dialect per 10,000 hauf 66 author per 10,000 5 dialect per 10,000 telt 66 author per 10,000 6 dialect per 10,000 got 66 author per 10,000 10 dialect per 10,000 wi 66 author per 10,000 75 dialect per 10,000 gairden 66 author per 10,000 3 dialect per 10,000 wir 66 author per 10,000 5 dialect per 10,000 then 66 author per 10,000 17 dialect per 10,000 see 66 author per 10,000 7 dialect per 10,000 freen 49 author per 10,000 0 dialect per 10,000 she 49 author per 10,000 81 dialect per 10,000 didna 49 author per 10,000 2 dialect per 10,000 came 49 author per 10,000 5 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 3 dialect per 10,000 come 49 author per 10,000 9 dialect per 10,000 ba 49 author per 10,000 0 dialect per 10,000 there 49 author per 10,000 17 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 13 dialect per 10,000 aboot 49 author per 10,000 29 dialect per 10,000 getting 49 author per 10,000 1 dialect per 10,000 us 49 author per 10,000 11 dialect per 10,000 intae 49 author per 10,000 13 dialect per 10,000 wid 49 author per 10,000 4 dialect per 10,000 were 49 author per 10,000 17 dialect per 10,000 ane 49 author per 10,000 8 dialect per 10,000 settled 49 author per 10,000 1 dialect per 10,000 thocht 33 author per 10,000 12 dialect per 10,000 second 33 author per 10,000 0 dialect per 10,000 can 33 author per 10,000 12 dialect per 10,000 anither 33 author per 10,000 8 dialect per 10,000 bleed 33 author per 10,000 0 dialect per 10,000 playin 33 author per 10,000 1 dialect per 10,000 cos 33 author per 10,000 2 dialect per 10,000 lookit 33 author per 10,000 1 dialect per 10,000 through 33 author per 10,000 3 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 3 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 16 dialect per 10,000 ower 33 author per 10,000 17 dialect per 10,000 stood 33 author per 10,000 3 dialect per 10,000 look 33 author per 10,000 4 dialect per 10,000 as 33 author per 10,000 53 dialect per 10,000 weel 33 author per 10,000 6 dialect per 10,000 its 33 author per 10,000 10 dialect per 10,000 neb 33 author per 10,000 1 dialect per 10,000 back 33 author per 10,000 18 dialect per 10,000 hoose 33 author per 10,000 18 dialect per 10,000 said 33 author per 10,000 54 dialect per 10,000 aff 33 author per 10,000 6 dialect per 10,000 could 33 author per 10,000 12 dialect per 10,000 better 33 author per 10,000 4 dialect per 10,000 front 33 author per 10,000 1 dialect per 10,000 match 33 author per 10,000 0 dialect per 10,000 road 33 author per 10,000 7 dialect per 10,000 fan 33 author per 10,000 1 dialect per 10,000 gie 33 author per 10,000 12 dialect per 10,000 watch 33 author per 10,000 2 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 0 dialect per 10,000 so 33 author per 10,000 3 dialect per 10,000 her 33 author per 10,000 25 dialect per 10,000 gaen 33 author per 10,000 3 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 4 dialect per 10,000 awa 16 author per 10,000 13 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 0 dialect per 10,000 richt 16 author per 10,000 16 dialect per 10,000 aroond 16 author per 10,000 0 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 1 dialect per 10,000 twa 16 author per 10,000 4 dialect per 10,000 sure 16 author per 10,000 1 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 6 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 1 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 0 dialect per 10,000 run 16 author per 10,000 2 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 11 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 4 dialect per 10,000 waitin 16 author per 10,000 2 dialect per 10,000 quick 16 author per 10,000 2 dialect per 10,000 move 16 author per 10,000 1 dialect per 10,000 onything 16 author per 10,000 0 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 0 dialect per 10,000 asked 16 author per 10,000 3 dialect per 10,000 morning 16 author per 10,000 1 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 0 dialect per 10,000 mad 16 author per 10,000 2 dialect per 10,000 new 16 author per 10,000 8 dialect per 10,000 micht 16 author per 10,000 7 dialect per 10,000 safe 16 author per 10,000 0 dialect per 10,000 will 16 author per 10,000 4 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 2 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 1 dialect per 10,000 s 16 author per 10,000 31 dialect per 10,000 nae 16 author per 10,000 26 dialect per 10,000 day 16 author per 10,000 17 dialect per 10,000 again 16 author per 10,000 4 dialect per 10,000 bad 16 author per 10,000 1 dialect per 10,000 sae 16 author per 10,000 24 dialect per 10,000 shook 16 author per 10,000 1 dialect per 10,000 heid 16 author per 10,000 14 dialect per 10,000 clean 16 author per 10,000 1 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 1 dialect per 10,000 sic 16 author per 10,000 8 dialect per 10,000 daft 16 author per 10,000 1 dialect per 10,000 walkit 16 author per 10,000 1 dialect per 10,000 my 16 author per 10,000 2 dialect per 10,000 git 16 author per 10,000 2 dialect per 10,000 stop 16 author per 10,000 1 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 5 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 1 dialect per 10,000 fit 16 author per 10,000 5 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 0 dialect per 10,000 excited 16 author per 10,000 0 dialect per 10,000 fair 16 author per 10,000 11 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 0 dialect per 10,000 freens 16 author per 10,000 0 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 15 dialect per 10,000 atween 16 author per 10,000 6 dialect per 10,000 final 16 author per 10,000 0 dialect per 10,000 sunday 16 author per 10,000 1 dialect per 10,000 but 16 author per 10,000 40 dialect per 10,000 last 16 author per 10,000 6 dialect per 10,000 muckle 16 author per 10,000 7 dialect per 10,000 wisna 16 author per 10,000 1 dialect per 10,000 rest 16 author per 10,000 3 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 1 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 3 dialect per 10,000 happened 16 author per 10,000 1 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 6 dialect per 10,000 time 16 author per 10,000 16 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 17 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 0 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 1 dialect per 10,000 naething 16 author per 10,000 1 dialect per 10,000 bell 16 author per 10,000 1 dialect per 10,000
Ulster
the 626 author per 10,000 296 dialect per 10,000 a 412 author per 10,000 284 dialect per 10,000 tae 329 author per 10,000 259 dialect per 10,000 and 329 author per 10,000 10 dialect per 10,000 wis 247 author per 10,000 1 dialect per 10,000 an 231 author per 10,000 364 dialect per 10,000 ma 198 author per 10,000 21 dialect per 10,000 he 198 author per 10,000 63 dialect per 10,000 him 165 author per 10,000 9 dialect per 10,000 o 165 author per 10,000 210 dialect per 10,000 it 148 author per 10,000 71 dialect per 10,000 that 132 author per 10,000 72 dialect per 10,000 oot 132 author per 10,000 51 dialect per 10,000 we 132 author per 10,000 18 dialect per 10,000 up 115 author per 10,000 31 dialect per 10,000 i 115 author per 10,000 10 dialect per 10,000 at 115 author per 10,000 58 dialect per 10,000 in 115 author per 10,000 120 dialect per 10,000 bit 99 author per 10,000 10 dialect per 10,000 me 99 author per 10,000 24 dialect per 10,000 fitba 99 author per 10,000 1 dialect per 10,000 his 99 author per 10,000 19 dialect per 10,000 faither 99 author per 10,000 8 dialect per 10,000 hid 82 author per 10,000 0 dialect per 10,000 jist 82 author per 10,000 9 dialect per 10,000 wint 82 author per 10,000 0 dialect per 10,000 doon 82 author per 10,000 28 dialect per 10,000 be 82 author per 10,000 40 dialect per 10,000 baith 66 author per 10,000 6 dialect per 10,000 hauf 66 author per 10,000 1 dialect per 10,000 telt 66 author per 10,000 1 dialect per 10,000 got 66 author per 10,000 9 dialect per 10,000 wi 66 author per 10,000 61 dialect per 10,000 gairden 66 author per 10,000 1 dialect per 10,000 wir 66 author per 10,000 1 dialect per 10,000 then 66 author per 10,000 17 dialect per 10,000 see 66 author per 10,000 16 dialect per 10,000 freen 49 author per 10,000 2 dialect per 10,000 she 49 author per 10,000 13 dialect per 10,000 didna 49 author per 10,000 0 dialect per 10,000 came 49 author per 10,000 2 dialect per 10,000 hibs 49 author per 10,000 0 dialect per 10,000 mither 49 author per 10,000 4 dialect per 10,000 come 49 author per 10,000 9 dialect per 10,000 ba 49 author per 10,000 0 dialect per 10,000 there 49 author per 10,000 6 dialect per 10,000 kick 49 author per 10,000 0 dialect per 10,000 fir 49 author per 10,000 2 dialect per 10,000 aboot 49 author per 10,000 27 dialect per 10,000 getting 49 author per 10,000 1 dialect per 10,000 us 49 author per 10,000 4 dialect per 10,000 intae 49 author per 10,000 13 dialect per 10,000 wid 49 author per 10,000 1 dialect per 10,000 were 49 author per 10,000 5 dialect per 10,000 ane 49 author per 10,000 0 dialect per 10,000 settled 49 author per 10,000 0 dialect per 10,000 thocht 33 author per 10,000 11 dialect per 10,000 second 33 author per 10,000 0 dialect per 10,000 can 33 author per 10,000 14 dialect per 10,000 anither 33 author per 10,000 9 dialect per 10,000 bleed 33 author per 10,000 0 dialect per 10,000 playin 33 author per 10,000 1 dialect per 10,000 cos 33 author per 10,000 0 dialect per 10,000 lookit 33 author per 10,000 0 dialect per 10,000 through 33 author per 10,000 4 dialect per 10,000 strip 33 author per 10,000 0 dialect per 10,000 took 33 author per 10,000 1 dialect per 10,000 himself 33 author per 10,000 0 dialect per 10,000 say 33 author per 10,000 10 dialect per 10,000 ower 33 author per 10,000 16 dialect per 10,000 stood 33 author per 10,000 0 dialect per 10,000 look 33 author per 10,000 1 dialect per 10,000 as 33 author per 10,000 29 dialect per 10,000 weel 33 author per 10,000 13 dialect per 10,000 its 33 author per 10,000 8 dialect per 10,000 neb 33 author per 10,000 1 dialect per 10,000 back 33 author per 10,000 3 dialect per 10,000 hoose 33 author per 10,000 13 dialect per 10,000 said 33 author per 10,000 29 dialect per 10,000 aff 33 author per 10,000 15 dialect per 10,000 could 33 author per 10,000 1 dialect per 10,000 better 33 author per 10,000 2 dialect per 10,000 front 33 author per 10,000 1 dialect per 10,000 match 33 author per 10,000 0 dialect per 10,000 road 33 author per 10,000 2 dialect per 10,000 fan 33 author per 10,000 1 dialect per 10,000 gie 33 author per 10,000 17 dialect per 10,000 watch 33 author per 10,000 1 dialect per 10,000 rangers 33 author per 10,000 0 dialect per 10,000 winted 33 author per 10,000 0 dialect per 10,000 so 33 author per 10,000 5 dialect per 10,000 her 33 author per 10,000 7 dialect per 10,000 gaen 33 author per 10,000 1 dialect per 10,000 fizzog 16 author per 10,000 0 dialect per 10,000 lookin 16 author per 10,000 0 dialect per 10,000 awa 16 author per 10,000 16 dialect per 10,000 smack 16 author per 10,000 0 dialect per 10,000 bang 16 author per 10,000 0 dialect per 10,000 richt 16 author per 10,000 14 dialect per 10,000 aroond 16 author per 10,000 0 dialect per 10,000 drpping 16 author per 10,000 0 dialect per 10,000 have 16 author per 10,000 0 dialect per 10,000 twa 16 author per 10,000 12 dialect per 10,000 sure 16 author per 10,000 4 dialect per 10,000 semmit 16 author per 10,000 0 dialect per 10,000 fae 16 author per 10,000 14 dialect per 10,000 kicking 16 author per 10,000 0 dialect per 10,000 ought 16 author per 10,000 0 dialect per 10,000 messing 16 author per 10,000 0 dialect per 10,000 almichty 16 author per 10,000 0 dialect per 10,000 irn 16 author per 10,000 0 dialect per 10,000 bru 16 author per 10,000 0 dialect per 10,000 gave 16 author per 10,000 0 dialect per 10,000 run 16 author per 10,000 2 dialect per 10,000 shoot 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 6 dialect per 10,000 straight 16 author per 10,000 0 dialect per 10,000 goals 16 author per 10,000 0 dialect per 10,000 enough 16 author per 10,000 0 dialect per 10,000 waitin 16 author per 10,000 2 dialect per 10,000 quick 16 author per 10,000 1 dialect per 10,000 move 16 author per 10,000 0 dialect per 10,000 onything 16 author per 10,000 0 dialect per 10,000 keekers 16 author per 10,000 0 dialect per 10,000 bac 16 author per 10,000 0 dialect per 10,000 wallop 16 author per 10,000 0 dialect per 10,000 gone 16 author per 10,000 1 dialect per 10,000 asked 16 author per 10,000 0 dialect per 10,000 morning 16 author per 10,000 0 dialect per 10,000 wishin 16 author per 10,000 0 dialect per 10,000 wash 16 author per 10,000 0 dialect per 10,000 mad 16 author per 10,000 1 dialect per 10,000 new 16 author per 10,000 8 dialect per 10,000 micht 16 author per 10,000 6 dialect per 10,000 safe 16 author per 10,000 0 dialect per 10,000 will 16 author per 10,000 2 dialect per 10,000 safer 16 author per 10,000 0 dialect per 10,000 leave 16 author per 10,000 0 dialect per 10,000 experts 16 author per 10,000 0 dialect per 10,000 decided 16 author per 10,000 0 dialect per 10,000 s 16 author per 10,000 11 dialect per 10,000 nae 16 author per 10,000 23 dialect per 10,000 day 16 author per 10,000 15 dialect per 10,000 again 16 author per 10,000 2 dialect per 10,000 bad 16 author per 10,000 3 dialect per 10,000 sae 16 author per 10,000 26 dialect per 10,000 shook 16 author per 10,000 0 dialect per 10,000 heid 16 author per 10,000 12 dialect per 10,000 clean 16 author per 10,000 1 dialect per 10,000 aul-man 16 author per 10,000 0 dialect per 10,000 gate 16 author per 10,000 2 dialect per 10,000 sic 16 author per 10,000 1 dialect per 10,000 daft 16 author per 10,000 1 dialect per 10,000 walkit 16 author per 10,000 0 dialect per 10,000 my 16 author per 10,000 2 dialect per 10,000 git 16 author per 10,000 5 dialect per 10,000 stop 16 author per 10,000 0 dialect per 10,000 bleedin 16 author per 10,000 0 dialect per 10,000 place 16 author per 10,000 7 dialect per 10,000 cleaned 16 author per 10,000 0 dialect per 10,000 ance 16 author per 10,000 0 dialect per 10,000 idea 16 author per 10,000 0 dialect per 10,000 fit 16 author per 10,000 4 dialect per 10,000 damage 16 author per 10,000 0 dialect per 10,000 gein 16 author per 10,000 0 dialect per 10,000 fence 16 author per 10,000 0 dialect per 10,000 excited 16 author per 10,000 0 dialect per 10,000 fair 16 author per 10,000 2 dialect per 10,000 aifter 16 author per 10,000 0 dialect per 10,000 supported 16 author per 10,000 0 dialect per 10,000 wintin 16 author per 10,000 0 dialect per 10,000 freens 16 author per 10,000 2 dialect per 10,000 wonderin 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 13 dialect per 10,000 atween 16 author per 10,000 3 dialect per 10,000 final 16 author per 10,000 0 dialect per 10,000 sunday 16 author per 10,000 0 dialect per 10,000 but 16 author per 10,000 42 dialect per 10,000 last 16 author per 10,000 4 dialect per 10,000 muckle 16 author per 10,000 2 dialect per 10,000 wisna 16 author per 10,000 0 dialect per 10,000 rest 16 author per 10,000 2 dialect per 10,000 game 16 author per 10,000 1 dialect per 10,000 celtic 16 author per 10,000 0 dialect per 10,000 win 16 author per 10,000 0 dialect per 10,000 hopin 16 author per 10,000 0 dialect per 10,000 first 16 author per 10,000 1 dialect per 10,000 happened 16 author per 10,000 0 dialect per 10,000 beer 16 author per 10,000 0 dialect per 10,000 juice 16 author per 10,000 0 dialect per 10,000 masel 16 author per 10,000 1 dialect per 10,000 time 16 author per 10,000 13 dialect per 10,000 scunnered 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 30 dialect per 10,000 exciting 16 author per 10,000 0 dialect per 10,000 started 16 author per 10,000 0 dialect per 10,000 tele 16 author per 10,000 0 dialect per 10,000 faa 16 author per 10,000 2 dialect per 10,000 naething 16 author per 10,000 0 dialect per 10,000 bell 16 author per 10,000 0 dialect per 10,000