A Corpus of 21st Century Scots Texts

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Ireland, Mark

Punctuation analysis - Fine grain dialect analysis - Basic author info
Total words by this author in corpus - 1,372
Total unique words used by this author in corpus - 460
Ratio of total words to unique words - 2.983
Top ten most common words - callum, i, a, his, mam, he, to, yer, ti, him,

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
callum 335 author per 10,000 0 dialect per 10,000 i 321 author per 10,000 35 dialect per 10,000 a 306 author per 10,000 261 dialect per 10,000 his 277 author per 10,000 52 dialect per 10,000 mam 197 author per 10,000 0 dialect per 10,000 he 190 author per 10,000 89 dialect per 10,000 to 175 author per 10,000 8 dialect per 10,000 yer 175 author per 10,000 18 dialect per 10,000 ti 168 author per 10,000 17 dialect per 10,000 him 138 author per 10,000 29 dialect per 10,000 the 138 author per 10,000 563 dialect per 10,000 at 131 author per 10,000 56 dialect per 10,000 oh 117 author per 10,000 1 dialect per 10,000 school 109 author per 10,000 4 dialect per 10,000 an 109 author per 10,000 219 dialect per 10,000 in 102 author per 10,000 150 dialect per 10,000 on 102 author per 10,000 56 dialect per 10,000 yi 102 author per 10,000 9 dialect per 10,000 says 95 author per 10,000 7 dialect per 10,000 €™s 80 author per 10,000 41 dialect per 10,000 nae 80 author per 10,000 20 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 34 dialect per 10,000 and 73 author per 10,000 89 dialect per 10,000 she 66 author per 10,000 61 dialect per 10,000 be 66 author per 10,000 51 dialect per 10,000 get 66 author per 10,000 16 dialect per 10,000 fan 66 author per 10,000 1 dialect per 10,000 for 66 author per 10,000 47 dialect per 10,000 up 66 author per 10,000 40 dialect per 10,000 well 58 author per 10,000 4 dialect per 10,000 but 58 author per 10,000 46 dialect per 10,000 bit 58 author per 10,000 16 dialect per 10,000 doon 51 author per 10,000 17 dialect per 10,000 miss 51 author per 10,000 7 dialect per 10,000 jist 51 author per 10,000 23 dialect per 10,000 it 51 author per 10,000 122 dialect per 10,000 oot 51 author per 10,000 40 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 101 dialect per 10,000 her 51 author per 10,000 48 dialect per 10,000 so 44 author per 10,000 9 dialect per 10,000 aff 44 author per 10,000 14 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 220 dialect per 10,000 been 44 author per 10,000 20 dialect per 10,000 comes 44 author per 10,000 3 dialect per 10,000 hiv 44 author per 10,000 2 dialect per 10,000 got 44 author per 10,000 12 dialect per 10,000 if 44 author per 10,000 17 dialect per 10,000 sel 44 author per 10,000 0 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 2 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 1 dialect per 10,000 gan 36 author per 10,000 0 dialect per 10,000 sheen 36 author per 10,000 0 dialect per 10,000 €™ll 36 author per 10,000 5 dialect per 10,000 ere 36 author per 10,000 0 dialect per 10,000 wifie 29 author per 10,000 0 dialect per 10,000 office 29 author per 10,000 1 dialect per 10,000 mannie 29 author per 10,000 1 dialect per 10,000 tell 29 author per 10,000 7 dialect per 10,000 cat 29 author per 10,000 0 dialect per 10,000 hoose 29 author per 10,000 6 dialect per 10,000 ma 29 author per 10,000 48 dialect per 10,000 replies 29 author per 10,000 0 dialect per 10,000 stuck 29 author per 10,000 1 dialect per 10,000 am 29 author per 10,000 3 dialect per 10,000 they 29 author per 10,000 43 dialect per 10,000 loon 29 author per 10,000 0 dialect per 10,000 deein 29 author per 10,000 0 dialect per 10,000 lang 29 author per 10,000 9 dialect per 10,000 door 29 author per 10,000 6 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 1 dialect per 10,000 time 29 author per 10,000 18 dialect per 10,000 he's 29 author per 10,000 5 dialect per 10,000 affa 29 author per 10,000 0 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 30 dialect per 10,000 ony 29 author per 10,000 6 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 5 dialect per 10,000 as 22 author per 10,000 60 dialect per 10,000 see 22 author per 10,000 16 dialect per 10,000 yet 22 author per 10,000 3 dialect per 10,000 are 22 author per 10,000 17 dialect per 10,000 looks 22 author per 10,000 2 dialect per 10,000 papers 22 author per 10,000 1 dialect per 10,000 oor 22 author per 10,000 17 dialect per 10,000 like 22 author per 10,000 28 dialect per 10,000 finally 22 author per 10,000 1 dialect per 10,000 mak 22 author per 10,000 8 dialect per 10,000 disna 22 author per 10,000 1 dialect per 10,000 han 22 author per 10,000 0 dialect per 10,000 aul 22 author per 10,000 0 dialect per 10,000 tells 22 author per 10,000 1 dialect per 10,000 ur 22 author per 10,000 2 dialect per 10,000 heed 22 author per 10,000 0 dialect per 10,000 better 22 author per 10,000 5 dialect per 10,000 again 22 author per 10,000 8 dialect per 10,000 noo 22 author per 10,000 13 dialect per 10,000 hame 22 author per 10,000 5 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 3 dialect per 10,000 telt 22 author per 10,000 4 dialect per 10,000 €™re 22 author per 10,000 5 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 1 dialect per 10,000 you 22 author per 10,000 17 dialect per 10,000 me 22 author per 10,000 40 dialect per 10,000 min 22 author per 10,000 0 dialect per 10,000 teacher 22 author per 10,000 2 dialect per 10,000 tree 22 author per 10,000 1 dialect per 10,000 then 22 author per 10,000 16 dialect per 10,000 en 22 author per 10,000 1 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 dinna 22 author per 10,000 4 dialect per 10,000 hid 22 author per 10,000 2 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 2 dialect per 10,000 look 15 author per 10,000 5 dialect per 10,000 awa 15 author per 10,000 9 dialect per 10,000 save 15 author per 10,000 1 dialect per 10,000 great 15 author per 10,000 3 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 0 dialect per 10,000 face 15 author per 10,000 5 dialect per 10,000 another 15 author per 10,000 2 dialect per 10,000 teen 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 13 dialect per 10,000 asks 15 author per 10,000 1 dialect per 10,000 afore 15 author per 10,000 9 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 2 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 9 dialect per 10,000 minutes 15 author per 10,000 1 dialect per 10,000 hingin 15 author per 10,000 1 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 2 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 1 dialect per 10,000 tak 15 author per 10,000 8 dialect per 10,000 might 15 author per 10,000 1 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 4 dialect per 10,000 no 15 author per 10,000 34 dialect per 10,000 hae 15 author per 10,000 22 dialect per 10,000 thought 15 author per 10,000 2 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 1 dialect per 10,000 across 15 author per 10,000 2 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 62 dialect per 10,000 eventually 15 author per 10,000 1 dialect per 10,000 just 15 author per 10,000 4 dialect per 10,000 body 15 author per 10,000 3 dialect per 10,000 three 15 author per 10,000 5 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 9 dialect per 10,000 eight 15 author per 10,000 0 dialect per 10,000 half 15 author per 10,000 1 dialect per 10,000 class 15 author per 10,000 2 dialect per 10,000 work 15 author per 10,000 2 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 nose 15 author per 10,000 1 dialect per 10,000 loved 15 author per 10,000 1 dialect per 10,000 hears 15 author per 10,000 0 dialect per 10,000 sees 15 author per 10,000 1 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 0 dialect per 10,000 side 15 author per 10,000 3 dialect per 10,000 feel 15 author per 10,000 3 dialect per 10,000 shoppin 15 author per 10,000 0 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 0 dialect per 10,000 ere's 15 author per 10,000 0 dialect per 10,000 thinkin 15 author per 10,000 2 dialect per 10,000 wee 15 author per 10,000 23 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 11 dialect per 10,000 niver 15 author per 10,000 1 dialect per 10,000 was 15 author per 10,000 6 dialect per 10,000 gettin 15 author per 10,000 4 dialect per 10,000 goes 15 author per 10,000 1 dialect per 10,000 gee 15 author per 10,000 1 dialect per 10,000 my 15 author per 10,000 6 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 0 dialect per 10,000 mine 15 author per 10,000 1 dialect per 10,000 same 15 author per 10,000 6 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 1 dialect per 10,000 wye 15 author per 10,000 0 dialect per 10,000 last 15 author per 10,000 6 dialect per 10,000 back 15 author per 10,000 21 dialect per 10,000
Doric
callum 335 author per 10,000 2 dialect per 10,000 i 321 author per 10,000 54 dialect per 10,000 a 306 author per 10,000 285 dialect per 10,000 his 277 author per 10,000 79 dialect per 10,000 mam 197 author per 10,000 3 dialect per 10,000 he 190 author per 10,000 103 dialect per 10,000 to 175 author per 10,000 9 dialect per 10,000 yer 175 author per 10,000 30 dialect per 10,000 ti 168 author per 10,000 4 dialect per 10,000 him 138 author per 10,000 38 dialect per 10,000 the 138 author per 10,000 534 dialect per 10,000 at 131 author per 10,000 57 dialect per 10,000 oh 117 author per 10,000 6 dialect per 10,000 school 109 author per 10,000 1 dialect per 10,000 an 109 author per 10,000 315 dialect per 10,000 in 102 author per 10,000 136 dialect per 10,000 on 102 author per 10,000 65 dialect per 10,000 yi 102 author per 10,000 1 dialect per 10,000 says 95 author per 10,000 12 dialect per 10,000 €™s 80 author per 10,000 30 dialect per 10,000 nae 80 author per 10,000 49 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 21 dialect per 10,000 and 73 author per 10,000 46 dialect per 10,000 she 66 author per 10,000 63 dialect per 10,000 be 66 author per 10,000 44 dialect per 10,000 get 66 author per 10,000 14 dialect per 10,000 fan 66 author per 10,000 13 dialect per 10,000 for 66 author per 10,000 40 dialect per 10,000 up 66 author per 10,000 48 dialect per 10,000 well 58 author per 10,000 2 dialect per 10,000 but 58 author per 10,000 15 dialect per 10,000 bit 58 author per 10,000 48 dialect per 10,000 doon 51 author per 10,000 33 dialect per 10,000 miss 51 author per 10,000 3 dialect per 10,000 jist 51 author per 10,000 36 dialect per 10,000 it 51 author per 10,000 109 dialect per 10,000 oot 51 author per 10,000 53 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 115 dialect per 10,000 her 51 author per 10,000 75 dialect per 10,000 so 44 author per 10,000 12 dialect per 10,000 aff 44 author per 10,000 15 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 178 dialect per 10,000 been 44 author per 10,000 13 dialect per 10,000 comes 44 author per 10,000 5 dialect per 10,000 hiv 44 author per 10,000 10 dialect per 10,000 got 44 author per 10,000 11 dialect per 10,000 if 44 author per 10,000 17 dialect per 10,000 sel 44 author per 10,000 0 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 39 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 0 dialect per 10,000 gan 36 author per 10,000 1 dialect per 10,000 sheen 36 author per 10,000 1 dialect per 10,000 €™ll 36 author per 10,000 4 dialect per 10,000 ere 36 author per 10,000 6 dialect per 10,000 wifie 29 author per 10,000 5 dialect per 10,000 office 29 author per 10,000 1 dialect per 10,000 mannie 29 author per 10,000 2 dialect per 10,000 tell 29 author per 10,000 7 dialect per 10,000 cat 29 author per 10,000 1 dialect per 10,000 hoose 29 author per 10,000 12 dialect per 10,000 ma 29 author per 10,000 44 dialect per 10,000 replies 29 author per 10,000 1 dialect per 10,000 stuck 29 author per 10,000 1 dialect per 10,000 am 29 author per 10,000 2 dialect per 10,000 they 29 author per 10,000 40 dialect per 10,000 loon 29 author per 10,000 4 dialect per 10,000 deein 29 author per 10,000 3 dialect per 10,000 lang 29 author per 10,000 12 dialect per 10,000 door 29 author per 10,000 9 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 1 dialect per 10,000 time 29 author per 10,000 20 dialect per 10,000 he's 29 author per 10,000 5 dialect per 10,000 affa 29 author per 10,000 14 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 35 dialect per 10,000 ony 29 author per 10,000 9 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 5 dialect per 10,000 as 22 author per 10,000 57 dialect per 10,000 see 22 author per 10,000 21 dialect per 10,000 yet 22 author per 10,000 2 dialect per 10,000 are 22 author per 10,000 15 dialect per 10,000 looks 22 author per 10,000 1 dialect per 10,000 papers 22 author per 10,000 1 dialect per 10,000 oor 22 author per 10,000 9 dialect per 10,000 like 22 author per 10,000 41 dialect per 10,000 finally 22 author per 10,000 1 dialect per 10,000 mak 22 author per 10,000 8 dialect per 10,000 disna 22 author per 10,000 3 dialect per 10,000 han 22 author per 10,000 5 dialect per 10,000 aul 22 author per 10,000 3 dialect per 10,000 tells 22 author per 10,000 1 dialect per 10,000 ur 22 author per 10,000 0 dialect per 10,000 heed 22 author per 10,000 2 dialect per 10,000 better 22 author per 10,000 7 dialect per 10,000 again 22 author per 10,000 9 dialect per 10,000 noo 22 author per 10,000 20 dialect per 10,000 hame 22 author per 10,000 11 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 6 dialect per 10,000 telt 22 author per 10,000 9 dialect per 10,000 €™re 22 author per 10,000 2 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 2 dialect per 10,000 you 22 author per 10,000 21 dialect per 10,000 me 22 author per 10,000 21 dialect per 10,000 min 22 author per 10,000 2 dialect per 10,000 teacher 22 author per 10,000 1 dialect per 10,000 tree 22 author per 10,000 3 dialect per 10,000 then 22 author per 10,000 8 dialect per 10,000 en 22 author per 10,000 5 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 dinna 22 author per 10,000 13 dialect per 10,000 hid 22 author per 10,000 43 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 3 dialect per 10,000 look 15 author per 10,000 7 dialect per 10,000 awa 15 author per 10,000 22 dialect per 10,000 save 15 author per 10,000 1 dialect per 10,000 great 15 author per 10,000 5 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 2 dialect per 10,000 face 15 author per 10,000 8 dialect per 10,000 another 15 author per 10,000 0 dialect per 10,000 teen 15 author per 10,000 9 dialect per 10,000 day 15 author per 10,000 34 dialect per 10,000 asks 15 author per 10,000 2 dialect per 10,000 afore 15 author per 10,000 14 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 6 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 7 dialect per 10,000 minutes 15 author per 10,000 0 dialect per 10,000 hingin 15 author per 10,000 1 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 14 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 6 dialect per 10,000 tak 15 author per 10,000 9 dialect per 10,000 might 15 author per 10,000 0 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 3 dialect per 10,000 no 15 author per 10,000 5 dialect per 10,000 hae 15 author per 10,000 18 dialect per 10,000 thought 15 author per 10,000 0 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 1 dialect per 10,000 across 15 author per 10,000 2 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 41 dialect per 10,000 eventually 15 author per 10,000 1 dialect per 10,000 just 15 author per 10,000 1 dialect per 10,000 body 15 author per 10,000 3 dialect per 10,000 three 15 author per 10,000 7 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 10 dialect per 10,000 eight 15 author per 10,000 0 dialect per 10,000 half 15 author per 10,000 2 dialect per 10,000 class 15 author per 10,000 1 dialect per 10,000 work 15 author per 10,000 1 dialect per 10,000 bag 15 author per 10,000 2 dialect per 10,000 nose 15 author per 10,000 1 dialect per 10,000 loved 15 author per 10,000 0 dialect per 10,000 hears 15 author per 10,000 0 dialect per 10,000 sees 15 author per 10,000 0 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 1 dialect per 10,000 side 15 author per 10,000 5 dialect per 10,000 feel 15 author per 10,000 7 dialect per 10,000 shoppin 15 author per 10,000 1 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 1 dialect per 10,000 ere's 15 author per 10,000 8 dialect per 10,000 thinkin 15 author per 10,000 2 dialect per 10,000 wee 15 author per 10,000 19 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 11 dialect per 10,000 niver 15 author per 10,000 5 dialect per 10,000 was 15 author per 10,000 4 dialect per 10,000 gettin 15 author per 10,000 3 dialect per 10,000 goes 15 author per 10,000 0 dialect per 10,000 gee 15 author per 10,000 0 dialect per 10,000 my 15 author per 10,000 11 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 0 dialect per 10,000 mine 15 author per 10,000 1 dialect per 10,000 same 15 author per 10,000 5 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 1 dialect per 10,000 wye 15 author per 10,000 13 dialect per 10,000 last 15 author per 10,000 6 dialect per 10,000 back 15 author per 10,000 23 dialect per 10,000
Shetland
callum 335 author per 10,000 0 dialect per 10,000 i 321 author per 10,000 133 dialect per 10,000 a 306 author per 10,000 235 dialect per 10,000 his 277 author per 10,000 61 dialect per 10,000 mam 197 author per 10,000 2 dialect per 10,000 he 190 author per 10,000 122 dialect per 10,000 to 175 author per 10,000 7 dialect per 10,000 yer 175 author per 10,000 1 dialect per 10,000 ti 168 author per 10,000 0 dialect per 10,000 him 138 author per 10,000 57 dialect per 10,000 the 138 author per 10,000 23 dialect per 10,000 at 131 author per 10,000 119 dialect per 10,000 oh 117 author per 10,000 7 dialect per 10,000 school 109 author per 10,000 0 dialect per 10,000 an 109 author per 10,000 349 dialect per 10,000 in 102 author per 10,000 93 dialect per 10,000 on 102 author per 10,000 52 dialect per 10,000 yi 102 author per 10,000 0 dialect per 10,000 says 95 author per 10,000 7 dialect per 10,000 €™s 80 author per 10,000 17 dialect per 10,000 nae 80 author per 10,000 26 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 38 dialect per 10,000 and 73 author per 10,000 19 dialect per 10,000 she 66 author per 10,000 3 dialect per 10,000 be 66 author per 10,000 60 dialect per 10,000 get 66 author per 10,000 6 dialect per 10,000 fan 66 author per 10,000 7 dialect per 10,000 for 66 author per 10,000 48 dialect per 10,000 up 66 author per 10,000 42 dialect per 10,000 well 58 author per 10,000 1 dialect per 10,000 but 58 author per 10,000 36 dialect per 10,000 bit 58 author per 10,000 32 dialect per 10,000 doon 51 author per 10,000 28 dialect per 10,000 miss 51 author per 10,000 1 dialect per 10,000 jist 51 author per 10,000 0 dialect per 10,000 it 51 author per 10,000 59 dialect per 10,000 oot 51 author per 10,000 47 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 178 dialect per 10,000 her 51 author per 10,000 55 dialect per 10,000 so 44 author per 10,000 32 dialect per 10,000 aff 44 author per 10,000 22 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 60 dialect per 10,000 been 44 author per 10,000 13 dialect per 10,000 comes 44 author per 10,000 4 dialect per 10,000 hiv 44 author per 10,000 1 dialect per 10,000 got 44 author per 10,000 7 dialect per 10,000 if 44 author per 10,000 30 dialect per 10,000 sel 44 author per 10,000 0 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 4 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 0 dialect per 10,000 gan 36 author per 10,000 0 dialect per 10,000 sheen 36 author per 10,000 0 dialect per 10,000 €™ll 36 author per 10,000 5 dialect per 10,000 ere 36 author per 10,000 0 dialect per 10,000 wifie 29 author per 10,000 0 dialect per 10,000 office 29 author per 10,000 0 dialect per 10,000 mannie 29 author per 10,000 0 dialect per 10,000 tell 29 author per 10,000 9 dialect per 10,000 cat 29 author per 10,000 5 dialect per 10,000 hoose 29 author per 10,000 9 dialect per 10,000 ma 29 author per 10,000 0 dialect per 10,000 replies 29 author per 10,000 0 dialect per 10,000 stuck 29 author per 10,000 0 dialect per 10,000 am 29 author per 10,000 6 dialect per 10,000 they 29 author per 10,000 1 dialect per 10,000 loon 29 author per 10,000 0 dialect per 10,000 deein 29 author per 10,000 0 dialect per 10,000 lang 29 author per 10,000 12 dialect per 10,000 door 29 author per 10,000 6 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 0 dialect per 10,000 time 29 author per 10,000 21 dialect per 10,000 he's 29 author per 10,000 6 dialect per 10,000 affa 29 author per 10,000 0 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 43 dialect per 10,000 ony 29 author per 10,000 13 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 8 dialect per 10,000 as 22 author per 10,000 78 dialect per 10,000 see 22 author per 10,000 22 dialect per 10,000 yet 22 author per 10,000 2 dialect per 10,000 are 22 author per 10,000 2 dialect per 10,000 looks 22 author per 10,000 1 dialect per 10,000 papers 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 1 dialect per 10,000 like 22 author per 10,000 2 dialect per 10,000 finally 22 author per 10,000 0 dialect per 10,000 mak 22 author per 10,000 14 dialect per 10,000 disna 22 author per 10,000 0 dialect per 10,000 han 22 author per 10,000 0 dialect per 10,000 aul 22 author per 10,000 0 dialect per 10,000 tells 22 author per 10,000 0 dialect per 10,000 ur 22 author per 10,000 0 dialect per 10,000 heed 22 author per 10,000 1 dialect per 10,000 better 22 author per 10,000 8 dialect per 10,000 again 22 author per 10,000 5 dialect per 10,000 noo 22 author per 10,000 19 dialect per 10,000 hame 22 author per 10,000 7 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 9 dialect per 10,000 telt 22 author per 10,000 6 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 1 dialect per 10,000 you 22 author per 10,000 57 dialect per 10,000 me 22 author per 10,000 51 dialect per 10,000 min 22 author per 10,000 0 dialect per 10,000 teacher 22 author per 10,000 0 dialect per 10,000 tree 22 author per 10,000 8 dialect per 10,000 then 22 author per 10,000 1 dialect per 10,000 en 22 author per 10,000 0 dialect per 10,000 aye 22 author per 10,000 12 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 2 dialect per 10,000 look 15 author per 10,000 7 dialect per 10,000 awa 15 author per 10,000 15 dialect per 10,000 save 15 author per 10,000 1 dialect per 10,000 great 15 author per 10,000 0 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 0 dialect per 10,000 face 15 author per 10,000 7 dialect per 10,000 another 15 author per 10,000 0 dialect per 10,000 teen 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 22 dialect per 10,000 asks 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 16 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 11 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 16 dialect per 10,000 minutes 15 author per 10,000 0 dialect per 10,000 hingin 15 author per 10,000 1 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 6 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 5 dialect per 10,000 tak 15 author per 10,000 15 dialect per 10,000 might 15 author per 10,000 0 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 1 dialect per 10,000 no 15 author per 10,000 37 dialect per 10,000 hae 15 author per 10,000 25 dialect per 10,000 thought 15 author per 10,000 0 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 1 dialect per 10,000 across 15 author per 10,000 1 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 62 dialect per 10,000 eventually 15 author per 10,000 0 dialect per 10,000 just 15 author per 10,000 4 dialect per 10,000 body 15 author per 10,000 7 dialect per 10,000 three 15 author per 10,000 0 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 0 dialect per 10,000 eight 15 author per 10,000 0 dialect per 10,000 half 15 author per 10,000 3 dialect per 10,000 class 15 author per 10,000 0 dialect per 10,000 work 15 author per 10,000 1 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 nose 15 author per 10,000 1 dialect per 10,000 loved 15 author per 10,000 1 dialect per 10,000 hears 15 author per 10,000 0 dialect per 10,000 sees 15 author per 10,000 2 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 0 dialect per 10,000 side 15 author per 10,000 5 dialect per 10,000 feel 15 author per 10,000 2 dialect per 10,000 shoppin 15 author per 10,000 0 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 0 dialect per 10,000 ere's 15 author per 10,000 0 dialect per 10,000 thinkin 15 author per 10,000 0 dialect per 10,000 wee 15 author per 10,000 0 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 10 dialect per 10,000 niver 15 author per 10,000 0 dialect per 10,000 was 15 author per 10,000 3 dialect per 10,000 gettin 15 author per 10,000 1 dialect per 10,000 goes 15 author per 10,000 1 dialect per 10,000 gee 15 author per 10,000 0 dialect per 10,000 my 15 author per 10,000 20 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 0 dialect per 10,000 mine 15 author per 10,000 1 dialect per 10,000 same 15 author per 10,000 1 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 2 dialect per 10,000 wye 15 author per 10,000 25 dialect per 10,000 last 15 author per 10,000 5 dialect per 10,000 back 15 author per 10,000 19 dialect per 10,000
Orkney
callum 335 author per 10,000 0 dialect per 10,000 i 321 author per 10,000 188 dialect per 10,000 a 306 author per 10,000 308 dialect per 10,000 his 277 author per 10,000 77 dialect per 10,000 mam 197 author per 10,000 2 dialect per 10,000 he 190 author per 10,000 122 dialect per 10,000 to 175 author per 10,000 5 dialect per 10,000 yer 175 author per 10,000 7 dialect per 10,000 ti 168 author per 10,000 0 dialect per 10,000 him 138 author per 10,000 26 dialect per 10,000 the 138 author per 10,000 525 dialect per 10,000 at 131 author per 10,000 53 dialect per 10,000 oh 117 author per 10,000 7 dialect per 10,000 school 109 author per 10,000 2 dialect per 10,000 an 109 author per 10,000 109 dialect per 10,000 in 102 author per 10,000 154 dialect per 10,000 on 102 author per 10,000 80 dialect per 10,000 yi 102 author per 10,000 0 dialect per 10,000 says 95 author per 10,000 5 dialect per 10,000 €™s 80 author per 10,000 32 dialect per 10,000 nae 80 author per 10,000 1 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 40 dialect per 10,000 and 73 author per 10,000 249 dialect per 10,000 she 66 author per 10,000 7 dialect per 10,000 be 66 author per 10,000 48 dialect per 10,000 get 66 author per 10,000 14 dialect per 10,000 fan 66 author per 10,000 0 dialect per 10,000 for 66 author per 10,000 27 dialect per 10,000 up 66 author per 10,000 31 dialect per 10,000 well 58 author per 10,000 1 dialect per 10,000 but 58 author per 10,000 24 dialect per 10,000 bit 58 author per 10,000 60 dialect per 10,000 doon 51 author per 10,000 29 dialect per 10,000 miss 51 author per 10,000 2 dialect per 10,000 jist 51 author per 10,000 1 dialect per 10,000 it 51 author per 10,000 29 dialect per 10,000 oot 51 author per 10,000 52 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 105 dialect per 10,000 her 51 author per 10,000 36 dialect per 10,000 so 44 author per 10,000 34 dialect per 10,000 aff 44 author per 10,000 12 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 222 dialect per 10,000 been 44 author per 10,000 21 dialect per 10,000 comes 44 author per 10,000 5 dialect per 10,000 hiv 44 author per 10,000 14 dialect per 10,000 got 44 author per 10,000 16 dialect per 10,000 if 44 author per 10,000 16 dialect per 10,000 sel 44 author per 10,000 0 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 1 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 2 dialect per 10,000 gan 36 author per 10,000 0 dialect per 10,000 sheen 36 author per 10,000 0 dialect per 10,000 €™ll 36 author per 10,000 3 dialect per 10,000 ere 36 author per 10,000 0 dialect per 10,000 wifie 29 author per 10,000 0 dialect per 10,000 office 29 author per 10,000 0 dialect per 10,000 mannie 29 author per 10,000 0 dialect per 10,000 tell 29 author per 10,000 5 dialect per 10,000 cat 29 author per 10,000 6 dialect per 10,000 hoose 29 author per 10,000 11 dialect per 10,000 ma 29 author per 10,000 1 dialect per 10,000 replies 29 author per 10,000 0 dialect per 10,000 stuck 29 author per 10,000 2 dialect per 10,000 am 29 author per 10,000 3 dialect per 10,000 they 29 author per 10,000 44 dialect per 10,000 loon 29 author per 10,000 0 dialect per 10,000 deein 29 author per 10,000 0 dialect per 10,000 lang 29 author per 10,000 1 dialect per 10,000 door 29 author per 10,000 10 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 0 dialect per 10,000 time 29 author per 10,000 18 dialect per 10,000 he's 29 author per 10,000 10 dialect per 10,000 affa 29 author per 10,000 0 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 29 dialect per 10,000 ony 29 author per 10,000 1 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 3 dialect per 10,000 as 22 author per 10,000 58 dialect per 10,000 see 22 author per 10,000 15 dialect per 10,000 yet 22 author per 10,000 5 dialect per 10,000 are 22 author per 10,000 16 dialect per 10,000 looks 22 author per 10,000 0 dialect per 10,000 papers 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 1 dialect per 10,000 like 22 author per 10,000 27 dialect per 10,000 finally 22 author per 10,000 1 dialect per 10,000 mak 22 author per 10,000 8 dialect per 10,000 disna 22 author per 10,000 3 dialect per 10,000 han 22 author per 10,000 0 dialect per 10,000 aul 22 author per 10,000 0 dialect per 10,000 tells 22 author per 10,000 1 dialect per 10,000 ur 22 author per 10,000 2 dialect per 10,000 heed 22 author per 10,000 0 dialect per 10,000 better 22 author per 10,000 5 dialect per 10,000 again 22 author per 10,000 11 dialect per 10,000 noo 22 author per 10,000 21 dialect per 10,000 hame 22 author per 10,000 2 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 5 dialect per 10,000 telt 22 author per 10,000 3 dialect per 10,000 €™re 22 author per 10,000 2 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 1 dialect per 10,000 you 22 author per 10,000 36 dialect per 10,000 me 22 author per 10,000 128 dialect per 10,000 min 22 author per 10,000 1 dialect per 10,000 teacher 22 author per 10,000 0 dialect per 10,000 tree 22 author per 10,000 0 dialect per 10,000 then 22 author per 10,000 23 dialect per 10,000 en 22 author per 10,000 0 dialect per 10,000 aye 22 author per 10,000 9 dialect per 10,000 dinna 22 author per 10,000 6 dialect per 10,000 hid 22 author per 10,000 115 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 1 dialect per 10,000 look 15 author per 10,000 0 dialect per 10,000 awa 15 author per 10,000 1 dialect per 10,000 save 15 author per 10,000 1 dialect per 10,000 great 15 author per 10,000 6 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 0 dialect per 10,000 face 15 author per 10,000 6 dialect per 10,000 another 15 author per 10,000 0 dialect per 10,000 teen 15 author per 10,000 1 dialect per 10,000 day 15 author per 10,000 24 dialect per 10,000 asks 15 author per 10,000 1 dialect per 10,000 afore 15 author per 10,000 13 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 5 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 16 dialect per 10,000 minutes 15 author per 10,000 0 dialect per 10,000 hingin 15 author per 10,000 0 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 5 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 2 dialect per 10,000 tak 15 author per 10,000 11 dialect per 10,000 might 15 author per 10,000 7 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 1 dialect per 10,000 no 15 author per 10,000 55 dialect per 10,000 hae 15 author per 10,000 17 dialect per 10,000 thought 15 author per 10,000 0 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 2 dialect per 10,000 across 15 author per 10,000 4 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 54 dialect per 10,000 eventually 15 author per 10,000 0 dialect per 10,000 just 15 author per 10,000 1 dialect per 10,000 body 15 author per 10,000 3 dialect per 10,000 three 15 author per 10,000 3 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 11 dialect per 10,000 eight 15 author per 10,000 1 dialect per 10,000 half 15 author per 10,000 2 dialect per 10,000 class 15 author per 10,000 1 dialect per 10,000 work 15 author per 10,000 1 dialect per 10,000 bag 15 author per 10,000 0 dialect per 10,000 nose 15 author per 10,000 1 dialect per 10,000 loved 15 author per 10,000 1 dialect per 10,000 hears 15 author per 10,000 0 dialect per 10,000 sees 15 author per 10,000 0 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 0 dialect per 10,000 side 15 author per 10,000 4 dialect per 10,000 feel 15 author per 10,000 4 dialect per 10,000 shoppin 15 author per 10,000 0 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 0 dialect per 10,000 ere's 15 author per 10,000 0 dialect per 10,000 thinkin 15 author per 10,000 0 dialect per 10,000 wee 15 author per 10,000 1 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 7 dialect per 10,000 niver 15 author per 10,000 1 dialect per 10,000 was 15 author per 10,000 2 dialect per 10,000 gettin 15 author per 10,000 0 dialect per 10,000 goes 15 author per 10,000 1 dialect per 10,000 gee 15 author per 10,000 0 dialect per 10,000 my 15 author per 10,000 3 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 0 dialect per 10,000 mine 15 author per 10,000 3 dialect per 10,000 same 15 author per 10,000 3 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 0 dialect per 10,000 wye 15 author per 10,000 0 dialect per 10,000 last 15 author per 10,000 9 dialect per 10,000 back 15 author per 10,000 25 dialect per 10,000
Southern
callum 335 author per 10,000 0 dialect per 10,000 i 321 author per 10,000 62 dialect per 10,000 a 306 author per 10,000 239 dialect per 10,000 his 277 author per 10,000 38 dialect per 10,000 mam 197 author per 10,000 0 dialect per 10,000 he 190 author per 10,000 15 dialect per 10,000 to 175 author per 10,000 3 dialect per 10,000 yer 175 author per 10,000 20 dialect per 10,000 ti 168 author per 10,000 11 dialect per 10,000 him 138 author per 10,000 13 dialect per 10,000 the 138 author per 10,000 463 dialect per 10,000 at 131 author per 10,000 70 dialect per 10,000 oh 117 author per 10,000 1 dialect per 10,000 school 109 author per 10,000 0 dialect per 10,000 an 109 author per 10,000 302 dialect per 10,000 in 102 author per 10,000 111 dialect per 10,000 on 102 author per 10,000 50 dialect per 10,000 yi 102 author per 10,000 0 dialect per 10,000 says 95 author per 10,000 2 dialect per 10,000 €™s 80 author per 10,000 32 dialect per 10,000 nae 80 author per 10,000 26 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 18 dialect per 10,000 and 73 author per 10,000 22 dialect per 10,000 she 66 author per 10,000 78 dialect per 10,000 be 66 author per 10,000 13 dialect per 10,000 get 66 author per 10,000 11 dialect per 10,000 fan 66 author per 10,000 1 dialect per 10,000 for 66 author per 10,000 15 dialect per 10,000 up 66 author per 10,000 41 dialect per 10,000 well 58 author per 10,000 2 dialect per 10,000 but 58 author per 10,000 39 dialect per 10,000 bit 58 author per 10,000 18 dialect per 10,000 doon 51 author per 10,000 25 dialect per 10,000 miss 51 author per 10,000 2 dialect per 10,000 jist 51 author per 10,000 16 dialect per 10,000 it 51 author per 10,000 60 dialect per 10,000 oot 51 author per 10,000 34 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 57 dialect per 10,000 her 51 author per 10,000 15 dialect per 10,000 so 44 author per 10,000 3 dialect per 10,000 aff 44 author per 10,000 6 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 206 dialect per 10,000 been 44 author per 10,000 9 dialect per 10,000 comes 44 author per 10,000 1 dialect per 10,000 hiv 44 author per 10,000 1 dialect per 10,000 got 44 author per 10,000 10 dialect per 10,000 if 44 author per 10,000 16 dialect per 10,000 sel 44 author per 10,000 1 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 5 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 0 dialect per 10,000 gan 36 author per 10,000 3 dialect per 10,000 sheen 36 author per 10,000 0 dialect per 10,000 €™ll 36 author per 10,000 2 dialect per 10,000 ere 36 author per 10,000 0 dialect per 10,000 wifie 29 author per 10,000 0 dialect per 10,000 office 29 author per 10,000 1 dialect per 10,000 mannie 29 author per 10,000 1 dialect per 10,000 tell 29 author per 10,000 8 dialect per 10,000 cat 29 author per 10,000 4 dialect per 10,000 hoose 29 author per 10,000 20 dialect per 10,000 ma 29 author per 10,000 56 dialect per 10,000 replies 29 author per 10,000 0 dialect per 10,000 stuck 29 author per 10,000 1 dialect per 10,000 am 29 author per 10,000 2 dialect per 10,000 they 29 author per 10,000 35 dialect per 10,000 loon 29 author per 10,000 1 dialect per 10,000 deein 29 author per 10,000 0 dialect per 10,000 lang 29 author per 10,000 12 dialect per 10,000 door 29 author per 10,000 7 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 0 dialect per 10,000 time 29 author per 10,000 15 dialect per 10,000 he's 29 author per 10,000 1 dialect per 10,000 affa 29 author per 10,000 0 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 28 dialect per 10,000 ony 29 author per 10,000 7 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 6 dialect per 10,000 as 22 author per 10,000 52 dialect per 10,000 see 22 author per 10,000 6 dialect per 10,000 yet 22 author per 10,000 4 dialect per 10,000 are 22 author per 10,000 11 dialect per 10,000 looks 22 author per 10,000 0 dialect per 10,000 papers 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 12 dialect per 10,000 like 22 author per 10,000 7 dialect per 10,000 finally 22 author per 10,000 0 dialect per 10,000 mak 22 author per 10,000 7 dialect per 10,000 disna 22 author per 10,000 0 dialect per 10,000 han 22 author per 10,000 0 dialect per 10,000 aul 22 author per 10,000 0 dialect per 10,000 tells 22 author per 10,000 1 dialect per 10,000 ur 22 author per 10,000 2 dialect per 10,000 heed 22 author per 10,000 1 dialect per 10,000 better 22 author per 10,000 3 dialect per 10,000 again 22 author per 10,000 4 dialect per 10,000 noo 22 author per 10,000 13 dialect per 10,000 hame 22 author per 10,000 10 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 1 dialect per 10,000 telt 22 author per 10,000 5 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 3 dialect per 10,000 you 22 author per 10,000 3 dialect per 10,000 me 22 author per 10,000 13 dialect per 10,000 min 22 author per 10,000 0 dialect per 10,000 teacher 22 author per 10,000 1 dialect per 10,000 tree 22 author per 10,000 2 dialect per 10,000 then 22 author per 10,000 18 dialect per 10,000 en 22 author per 10,000 0 dialect per 10,000 aye 22 author per 10,000 11 dialect per 10,000 dinna 22 author per 10,000 1 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 1 dialect per 10,000 look 15 author per 10,000 4 dialect per 10,000 awa 15 author per 10,000 14 dialect per 10,000 save 15 author per 10,000 0 dialect per 10,000 great 15 author per 10,000 3 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 0 dialect per 10,000 face 15 author per 10,000 6 dialect per 10,000 another 15 author per 10,000 1 dialect per 10,000 teen 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 16 dialect per 10,000 asks 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 15 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 1 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 13 dialect per 10,000 minutes 15 author per 10,000 0 dialect per 10,000 hingin 15 author per 10,000 2 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 2 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 3 dialect per 10,000 tak 15 author per 10,000 8 dialect per 10,000 might 15 author per 10,000 1 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 4 dialect per 10,000 no 15 author per 10,000 28 dialect per 10,000 hae 15 author per 10,000 33 dialect per 10,000 thought 15 author per 10,000 0 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 0 dialect per 10,000 across 15 author per 10,000 2 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 60 dialect per 10,000 eventually 15 author per 10,000 0 dialect per 10,000 just 15 author per 10,000 2 dialect per 10,000 body 15 author per 10,000 1 dialect per 10,000 three 15 author per 10,000 2 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 7 dialect per 10,000 eight 15 author per 10,000 0 dialect per 10,000 half 15 author per 10,000 0 dialect per 10,000 class 15 author per 10,000 0 dialect per 10,000 work 15 author per 10,000 2 dialect per 10,000 bag 15 author per 10,000 1 dialect per 10,000 nose 15 author per 10,000 1 dialect per 10,000 loved 15 author per 10,000 1 dialect per 10,000 hears 15 author per 10,000 0 dialect per 10,000 sees 15 author per 10,000 1 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 0 dialect per 10,000 side 15 author per 10,000 7 dialect per 10,000 feel 15 author per 10,000 3 dialect per 10,000 shoppin 15 author per 10,000 0 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 0 dialect per 10,000 ere's 15 author per 10,000 0 dialect per 10,000 thinkin 15 author per 10,000 1 dialect per 10,000 wee 15 author per 10,000 24 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 3 dialect per 10,000 niver 15 author per 10,000 1 dialect per 10,000 was 15 author per 10,000 53 dialect per 10,000 gettin 15 author per 10,000 4 dialect per 10,000 goes 15 author per 10,000 4 dialect per 10,000 gee 15 author per 10,000 1 dialect per 10,000 my 15 author per 10,000 2 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 1 dialect per 10,000 mine 15 author per 10,000 1 dialect per 10,000 same 15 author per 10,000 6 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 0 dialect per 10,000 wye 15 author per 10,000 0 dialect per 10,000 last 15 author per 10,000 6 dialect per 10,000 back 15 author per 10,000 19 dialect per 10,000
Ulster
callum 335 author per 10,000 0 dialect per 10,000 i 321 author per 10,000 9 dialect per 10,000 a 306 author per 10,000 295 dialect per 10,000 his 277 author per 10,000 23 dialect per 10,000 mam 197 author per 10,000 0 dialect per 10,000 he 190 author per 10,000 85 dialect per 10,000 to 175 author per 10,000 2 dialect per 10,000 yer 175 author per 10,000 48 dialect per 10,000 ti 168 author per 10,000 0 dialect per 10,000 him 138 author per 10,000 12 dialect per 10,000 the 138 author per 10,000 229 dialect per 10,000 at 131 author per 10,000 47 dialect per 10,000 oh 117 author per 10,000 2 dialect per 10,000 school 109 author per 10,000 0 dialect per 10,000 an 109 author per 10,000 392 dialect per 10,000 in 102 author per 10,000 99 dialect per 10,000 on 102 author per 10,000 72 dialect per 10,000 yi 102 author per 10,000 0 dialect per 10,000 says 95 author per 10,000 4 dialect per 10,000 €™s 80 author per 10,000 15 dialect per 10,000 nae 80 author per 10,000 26 dialect per 10,000 y 80 author per 10,000 0 dialect per 10,000 we 73 author per 10,000 17 dialect per 10,000 and 73 author per 10,000 6 dialect per 10,000 she 66 author per 10,000 17 dialect per 10,000 be 66 author per 10,000 45 dialect per 10,000 get 66 author per 10,000 8 dialect per 10,000 fan 66 author per 10,000 1 dialect per 10,000 for 66 author per 10,000 44 dialect per 10,000 up 66 author per 10,000 38 dialect per 10,000 well 58 author per 10,000 3 dialect per 10,000 but 58 author per 10,000 53 dialect per 10,000 bit 58 author per 10,000 8 dialect per 10,000 doon 51 author per 10,000 35 dialect per 10,000 miss 51 author per 10,000 0 dialect per 10,000 jist 51 author per 10,000 12 dialect per 10,000 it 51 author per 10,000 82 dialect per 10,000 oot 51 author per 10,000 58 dialect per 10,000 baggie 51 author per 10,000 0 dialect per 10,000 wis 51 author per 10,000 1 dialect per 10,000 her 51 author per 10,000 8 dialect per 10,000 so 44 author per 10,000 6 dialect per 10,000 aff 44 author per 10,000 18 dialect per 10,000 margret 44 author per 10,000 0 dialect per 10,000 tae 44 author per 10,000 259 dialect per 10,000 been 44 author per 10,000 2 dialect per 10,000 comes 44 author per 10,000 1 dialect per 10,000 hiv 44 author per 10,000 0 dialect per 10,000 got 44 author per 10,000 10 dialect per 10,000 if 44 author per 10,000 16 dialect per 10,000 sel 44 author per 10,000 0 dialect per 10,000 reight 44 author per 10,000 0 dialect per 10,000 fit 44 author per 10,000 4 dialect per 10,000 bain 36 author per 10,000 0 dialect per 10,000 gets 36 author per 10,000 1 dialect per 10,000 gan 36 author per 10,000 9 dialect per 10,000 sheen 36 author per 10,000 0 dialect per 10,000 €™ll 36 author per 10,000 2 dialect per 10,000 ere 36 author per 10,000 0 dialect per 10,000 wifie 29 author per 10,000 0 dialect per 10,000 office 29 author per 10,000 0 dialect per 10,000 mannie 29 author per 10,000 0 dialect per 10,000 tell 29 author per 10,000 13 dialect per 10,000 cat 29 author per 10,000 2 dialect per 10,000 hoose 29 author per 10,000 17 dialect per 10,000 ma 29 author per 10,000 28 dialect per 10,000 replies 29 author per 10,000 0 dialect per 10,000 stuck 29 author per 10,000 0 dialect per 10,000 am 29 author per 10,000 4 dialect per 10,000 they 29 author per 10,000 25 dialect per 10,000 loon 29 author per 10,000 0 dialect per 10,000 deein 29 author per 10,000 1 dialect per 10,000 lang 29 author per 10,000 14 dialect per 10,000 door 29 author per 10,000 0 dialect per 10,000 callum's 29 author per 10,000 0 dialect per 10,000 stairs 29 author per 10,000 0 dialect per 10,000 time 29 author per 10,000 15 dialect per 10,000 he's 29 author per 10,000 4 dialect per 10,000 affa 29 author per 10,000 0 dialect per 10,000 €˜im 29 author per 10,000 0 dialect per 10,000 aboot 29 author per 10,000 32 dialect per 10,000 ony 29 author per 10,000 2 dialect per 10,000 aefter 29 author per 10,000 0 dialect per 10,000 bairns 29 author per 10,000 0 dialect per 10,000 as 22 author per 10,000 30 dialect per 10,000 see 22 author per 10,000 20 dialect per 10,000 yet 22 author per 10,000 1 dialect per 10,000 are 22 author per 10,000 3 dialect per 10,000 looks 22 author per 10,000 0 dialect per 10,000 papers 22 author per 10,000 0 dialect per 10,000 oor 22 author per 10,000 12 dialect per 10,000 like 22 author per 10,000 9 dialect per 10,000 finally 22 author per 10,000 1 dialect per 10,000 mak 22 author per 10,000 10 dialect per 10,000 disna 22 author per 10,000 0 dialect per 10,000 han 22 author per 10,000 5 dialect per 10,000 aul 22 author per 10,000 1 dialect per 10,000 tells 22 author per 10,000 0 dialect per 10,000 ur 22 author per 10,000 0 dialect per 10,000 heed 22 author per 10,000 2 dialect per 10,000 better 22 author per 10,000 2 dialect per 10,000 again 22 author per 10,000 2 dialect per 10,000 noo 22 author per 10,000 28 dialect per 10,000 hame 22 author per 10,000 11 dialect per 10,000 skerls 22 author per 10,000 0 dialect per 10,000 canna 22 author per 10,000 0 dialect per 10,000 telt 22 author per 10,000 2 dialect per 10,000 €™re 22 author per 10,000 1 dialect per 10,000 yiv 22 author per 10,000 0 dialect per 10,000 late 22 author per 10,000 1 dialect per 10,000 you 22 author per 10,000 5 dialect per 10,000 me 22 author per 10,000 27 dialect per 10,000 min 22 author per 10,000 0 dialect per 10,000 teacher 22 author per 10,000 0 dialect per 10,000 tree 22 author per 10,000 3 dialect per 10,000 then 22 author per 10,000 20 dialect per 10,000 en 22 author per 10,000 4 dialect per 10,000 aye 22 author per 10,000 15 dialect per 10,000 dinna 22 author per 10,000 0 dialect per 10,000 hid 22 author per 10,000 1 dialect per 10,000 ridy 22 author per 10,000 0 dialect per 10,000 later 15 author per 10,000 0 dialect per 10,000 look 15 author per 10,000 0 dialect per 10,000 awa 15 author per 10,000 20 dialect per 10,000 save 15 author per 10,000 2 dialect per 10,000 great 15 author per 10,000 1 dialect per 10,000 runs 15 author per 10,000 0 dialect per 10,000 clook 15 author per 10,000 0 dialect per 10,000 steen 15 author per 10,000 0 dialect per 10,000 face 15 author per 10,000 3 dialect per 10,000 another 15 author per 10,000 0 dialect per 10,000 teen 15 author per 10,000 0 dialect per 10,000 day 15 author per 10,000 19 dialect per 10,000 asks 15 author per 10,000 0 dialect per 10,000 afore 15 author per 10,000 14 dialect per 10,000 lunch 15 author per 10,000 0 dialect per 10,000 wisna 15 author per 10,000 0 dialect per 10,000 break 15 author per 10,000 0 dialect per 10,000 could 15 author per 10,000 1 dialect per 10,000 minutes 15 author per 10,000 1 dialect per 10,000 hingin 15 author per 10,000 1 dialect per 10,000 speers 15 author per 10,000 0 dialect per 10,000 far 15 author per 10,000 6 dialect per 10,000 daener 15 author per 10,000 0 dialect per 10,000 bide 15 author per 10,000 2 dialect per 10,000 tak 15 author per 10,000 15 dialect per 10,000 might 15 author per 10,000 0 dialect per 10,000 homework 15 author per 10,000 0 dialect per 10,000 €™ve 15 author per 10,000 0 dialect per 10,000 no 15 author per 10,000 27 dialect per 10,000 hae 15 author per 10,000 61 dialect per 10,000 thought 15 author per 10,000 1 dialect per 10,000 clize 15 author per 10,000 0 dialect per 10,000 pick 15 author per 10,000 1 dialect per 10,000 across 15 author per 10,000 1 dialect per 10,000 untied 15 author per 10,000 0 dialect per 10,000 is 15 author per 10,000 22 dialect per 10,000 eventually 15 author per 10,000 0 dialect per 10,000 just 15 author per 10,000 1 dialect per 10,000 body 15 author per 10,000 1 dialect per 10,000 three 15 author per 10,000 4 dialect per 10,000 drapped 15 author per 10,000 0 dialect per 10,000 think 15 author per 10,000 9 dialect per 10,000 eight 15 author per 10,000 0 dialect per 10,000 half 15 author per 10,000 3 dialect per 10,000 class 15 author per 10,000 0 dialect per 10,000 work 15 author per 10,000 1 dialect per 10,000 bag 15 author per 10,000 0 dialect per 10,000 nose 15 author per 10,000 0 dialect per 10,000 loved 15 author per 10,000 0 dialect per 10,000 hears 15 author per 10,000 1 dialect per 10,000 sees 15 author per 10,000 1 dialect per 10,000 €˜er 15 author per 10,000 0 dialect per 10,000 ayewis 15 author per 10,000 0 dialect per 10,000 side 15 author per 10,000 4 dialect per 10,000 feel 15 author per 10,000 2 dialect per 10,000 shoppin 15 author per 10,000 0 dialect per 10,000 pleast 15 author per 10,000 0 dialect per 10,000 danner 15 author per 10,000 0 dialect per 10,000 peer 15 author per 10,000 0 dialect per 10,000 ere's 15 author per 10,000 0 dialect per 10,000 thinkin 15 author per 10,000 1 dialect per 10,000 wee 15 author per 10,000 27 dialect per 10,000 roadie 15 author per 10,000 0 dialect per 10,000 will 15 author per 10,000 1 dialect per 10,000 niver 15 author per 10,000 10 dialect per 10,000 was 15 author per 10,000 11 dialect per 10,000 gettin 15 author per 10,000 2 dialect per 10,000 goes 15 author per 10,000 0 dialect per 10,000 gee 15 author per 10,000 0 dialect per 10,000 my 15 author per 10,000 2 dialect per 10,000 viry 15 author per 10,000 0 dialect per 10,000 hurry 15 author per 10,000 2 dialect per 10,000 mine 15 author per 10,000 11 dialect per 10,000 same 15 author per 10,000 7 dialect per 10,000 gings 15 author per 10,000 0 dialect per 10,000 needin 15 author per 10,000 0 dialect per 10,000 wye 15 author per 10,000 16 dialect per 10,000 last 15 author per 10,000 5 dialect per 10,000 back 15 author per 10,000 3 dialect per 10,000