A Corpus of 21st Century Scots Texts

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Seth-Smith, Niki


Total words by this author in corpus - 822
Total unique words used by this author in corpus - 364
Ratio of total words to unique words - 2.258
Top ten most common words - the, o, an, i, a, tae, that, s, is, it,

Word frequency analysis

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

Lallans
the 754 author per 10,000 548 dialect per 10,000 o 341 author per 10,000 183 dialect per 10,000 an 341 author per 10,000 206 dialect per 10,000 i 316 author per 10,000 38 dialect per 10,000 a 255 author per 10,000 260 dialect per 10,000 tae 255 author per 10,000 221 dialect per 10,000 that 219 author per 10,000 114 dialect per 10,000 s 158 author per 10,000 38 dialect per 10,000 is 134 author per 10,000 59 dialect per 10,000 it 122 author per 10,000 124 dialect per 10,000 we 122 author per 10,000 34 dialect per 10,000 whit 109 author per 10,000 29 dialect per 10,000 be 97 author per 10,000 50 dialect per 10,000 uk 97 author per 10,000 2 dialect per 10,000 eu 85 author per 10,000 1 dialect per 10,000 for 85 author per 10,000 45 dialect per 10,000 are 85 author per 10,000 17 dialect per 10,000 by 85 author per 10,000 16 dialect per 10,000 no 73 author per 10,000 35 dialect per 10,000 wull 73 author per 10,000 1 dialect per 10,000 but 73 author per 10,000 47 dialect per 10,000 73 author per 10,000 5 dialect per 10,000 73 author per 10,000 40 dialect per 10,000 as 73 author per 10,000 60 dialect per 10,000 left 73 author per 10,000 5 dialect per 10,000 in 73 author per 10,000 147 dialect per 10,000 micht 73 author per 10,000 7 dialect per 10,000 dae 61 author per 10,000 18 dialect per 10,000 fowk 61 author per 10,000 13 dialect per 10,000 or 61 author per 10,000 28 dialect per 10,000 britain 61 author per 10,000 1 dialect per 10,000 europe 61 author per 10,000 1 dialect per 10,000 could 49 author per 10,000 10 dialect per 10,000 want 49 author per 10,000 7 dialect per 10,000 monie 49 author per 10,000 2 dialect per 10,000 they 49 author per 10,000 44 dialect per 10,000 on 49 author per 10,000 55 dialect per 10,000 haes 49 author per 10,000 7 dialect per 10,000 their 49 author per 10,000 18 dialect per 10,000 vote 49 author per 10,000 1 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 4 dialect per 10,000 wey 36 author per 10,000 12 dialect per 10,000 oor 36 author per 10,000 15 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 0 dialect per 10,000 at 36 author per 10,000 58 dialect per 10,000 ken 36 author per 10,000 14 dialect per 10,000 muckle 36 author per 10,000 10 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 4 dialect per 10,000 wi 36 author per 10,000 62 dialect per 10,000 wha 36 author per 10,000 7 dialect per 10,000 chynge 36 author per 10,000 1 dialect per 10,000 there 36 author per 10,000 27 dialect per 10,000 isna 36 author per 10,000 2 dialect per 10,000 this 36 author per 10,000 42 dialect per 10,000 ve 36 author per 10,000 4 dialect per 10,000 m 36 author per 10,000 7 dialect per 10,000 aye 36 author per 10,000 15 dialect per 10,000 even 36 author per 10,000 11 dialect per 10,000 lat 36 author per 10,000 1 dialect per 10,000 richt 36 author per 10,000 13 dialect per 10,000 years 36 author per 10,000 3 dialect per 10,000 sae 24 author per 10,000 15 dialect per 10,000 see 24 author per 10,000 17 dialect per 10,000 jist 24 author per 10,000 24 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 11 dialect per 10,000 biggit 24 author per 10,000 1 dialect per 10,000 happens 24 author per 10,000 1 dialect per 10,000 ither 24 author per 10,000 11 dialect per 10,000 efter 24 author per 10,000 10 dialect per 10,000 future 24 author per 10,000 1 dialect per 10,000 can 24 author per 10,000 15 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 2 dialect per 10,000 atween 24 author per 10,000 3 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 18 dialect per 10,000 faur 24 author per 10,000 3 dialect per 10,000 labour 24 author per 10,000 2 dialect per 10,000 hae 24 author per 10,000 21 dialect per 10,000 able 24 author per 10,000 2 dialect per 10,000 mair 24 author per 10,000 18 dialect per 10,000 kintra 24 author per 10,000 1 dialect per 10,000 seems 24 author per 10,000 2 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 7 dialect per 10,000 been 24 author per 10,000 20 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 6 dialect per 10,000 aw 24 author per 10,000 45 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 10 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 0 dialect per 10,000 she 24 author per 10,000 63 dialect per 10,000 fowks 24 author per 10,000 0 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 3 dialect per 10,000 ainlie 24 author per 10,000 1 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 10 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 5 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 8 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 1 dialect per 10,000 haund 12 author per 10,000 2 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 2 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 1 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 1 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 0 dialect per 10,000 while 12 author per 10,000 5 dialect per 10,000 et 12 author per 10,000 1 dialect per 10,000 nor 12 author per 10,000 6 dialect per 10,000 ane 12 author per 10,000 9 dialect per 10,000 johnson 12 author per 10,000 0 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 1 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 5 dialect per 10,000 unner 12 author per 10,000 2 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 14 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 2 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 1 dialect per 10,000 his 12 author per 10,000 53 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 1 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 1 dialect per 10,000 shak 12 author per 10,000 0 dialect per 10,000 up 12 author per 10,000 41 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 2 dialect per 10,000 end 12 author per 10,000 4 dialect per 10,000 anither 12 author per 10,000 6 dialect per 10,000 pairty 12 author per 10,000 2 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 19 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 1 dialect per 10,000 certain 12 author per 10,000 1 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 10 dialect per 10,000 better 12 author per 10,000 5 dialect per 10,000 true 12 author per 10,000 2 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 1 dialect per 10,000 play 12 author per 10,000 2 dialect per 10,000 become 12 author per 10,000 1 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 1 dialect per 10,000 intil 12 author per 10,000 2 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000
Doric
the 754 author per 10,000 525 dialect per 10,000 o 341 author per 10,000 197 dialect per 10,000 an 341 author per 10,000 318 dialect per 10,000 i 316 author per 10,000 51 dialect per 10,000 a 255 author per 10,000 288 dialect per 10,000 tae 255 author per 10,000 170 dialect per 10,000 that 219 author per 10,000 57 dialect per 10,000 s 158 author per 10,000 28 dialect per 10,000 is 134 author per 10,000 45 dialect per 10,000 it 122 author per 10,000 109 dialect per 10,000 we 122 author per 10,000 20 dialect per 10,000 whit 109 author per 10,000 3 dialect per 10,000 be 97 author per 10,000 42 dialect per 10,000 uk 97 author per 10,000 0 dialect per 10,000 eu 85 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 39 dialect per 10,000 are 85 author per 10,000 14 dialect per 10,000 by 85 author per 10,000 7 dialect per 10,000 no 73 author per 10,000 5 dialect per 10,000 wull 73 author per 10,000 3 dialect per 10,000 but 73 author per 10,000 14 dialect per 10,000 73 author per 10,000 9 dialect per 10,000 73 author per 10,000 31 dialect per 10,000 as 73 author per 10,000 54 dialect per 10,000 left 73 author per 10,000 6 dialect per 10,000 in 73 author per 10,000 134 dialect per 10,000 micht 73 author per 10,000 6 dialect per 10,000 dae 61 author per 10,000 4 dialect per 10,000 fowk 61 author per 10,000 16 dialect per 10,000 or 61 author per 10,000 23 dialect per 10,000 britain 61 author per 10,000 0 dialect per 10,000 europe 61 author per 10,000 0 dialect per 10,000 could 49 author per 10,000 7 dialect per 10,000 want 49 author per 10,000 1 dialect per 10,000 monie 49 author per 10,000 0 dialect per 10,000 they 49 author per 10,000 39 dialect per 10,000 on 49 author per 10,000 62 dialect per 10,000 haes 49 author per 10,000 0 dialect per 10,000 their 49 author per 10,000 23 dialect per 10,000 vote 49 author per 10,000 0 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 5 dialect per 10,000 wey 36 author per 10,000 1 dialect per 10,000 oor 36 author per 10,000 9 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 0 dialect per 10,000 at 36 author per 10,000 59 dialect per 10,000 ken 36 author per 10,000 17 dialect per 10,000 muckle 36 author per 10,000 9 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 14 dialect per 10,000 wi 36 author per 10,000 88 dialect per 10,000 wha 36 author per 10,000 1 dialect per 10,000 chynge 36 author per 10,000 1 dialect per 10,000 there 36 author per 10,000 22 dialect per 10,000 isna 36 author per 10,000 0 dialect per 10,000 this 36 author per 10,000 21 dialect per 10,000 ve 36 author per 10,000 3 dialect per 10,000 m 36 author per 10,000 4 dialect per 10,000 aye 36 author per 10,000 15 dialect per 10,000 even 36 author per 10,000 7 dialect per 10,000 lat 36 author per 10,000 3 dialect per 10,000 richt 36 author per 10,000 17 dialect per 10,000 years 36 author per 10,000 3 dialect per 10,000 sae 24 author per 10,000 15 dialect per 10,000 see 24 author per 10,000 21 dialect per 10,000 jist 24 author per 10,000 37 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 12 dialect per 10,000 biggit 24 author per 10,000 1 dialect per 10,000 happens 24 author per 10,000 0 dialect per 10,000 ither 24 author per 10,000 8 dialect per 10,000 efter 24 author per 10,000 10 dialect per 10,000 future 24 author per 10,000 0 dialect per 10,000 can 24 author per 10,000 12 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 2 dialect per 10,000 atween 24 author per 10,000 4 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 28 dialect per 10,000 faur 24 author per 10,000 0 dialect per 10,000 labour 24 author per 10,000 0 dialect per 10,000 hae 24 author per 10,000 18 dialect per 10,000 able 24 author per 10,000 1 dialect per 10,000 mair 24 author per 10,000 19 dialect per 10,000 kintra 24 author per 10,000 1 dialect per 10,000 seems 24 author per 10,000 1 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 9 dialect per 10,000 been 24 author per 10,000 12 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 6 dialect per 10,000 aw 24 author per 10,000 0 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 2 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 0 dialect per 10,000 she 24 author per 10,000 63 dialect per 10,000 fowks 24 author per 10,000 0 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 2 dialect per 10,000 ainlie 24 author per 10,000 0 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 9 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 3 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 0 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 0 dialect per 10,000 haund 12 author per 10,000 0 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 1 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 1 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 0 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 0 dialect per 10,000 while 12 author per 10,000 2 dialect per 10,000 et 12 author per 10,000 0 dialect per 10,000 nor 12 author per 10,000 5 dialect per 10,000 ane 12 author per 10,000 6 dialect per 10,000 johnson 12 author per 10,000 0 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 1 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 4 dialect per 10,000 unner 12 author per 10,000 0 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 6 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 1 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 77 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 1 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 0 dialect per 10,000 shak 12 author per 10,000 1 dialect per 10,000 up 12 author per 10,000 49 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 3 dialect per 10,000 end 12 author per 10,000 2 dialect per 10,000 anither 12 author per 10,000 8 dialect per 10,000 pairty 12 author per 10,000 1 dialect per 10,000 gie 12 author per 10,000 7 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 50 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 0 dialect per 10,000 certain 12 author per 10,000 0 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 11 dialect per 10,000 better 12 author per 10,000 7 dialect per 10,000 true 12 author per 10,000 1 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 4 dialect per 10,000 play 12 author per 10,000 2 dialect per 10,000 become 12 author per 10,000 0 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 1 dialect per 10,000 intil 12 author per 10,000 0 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000
Shetland
the 754 author per 10,000 26 dialect per 10,000 o 341 author per 10,000 146 dialect per 10,000 an 341 author per 10,000 342 dialect per 10,000 i 316 author per 10,000 162 dialect per 10,000 a 255 author per 10,000 267 dialect per 10,000 tae 255 author per 10,000 58 dialect per 10,000 that 219 author per 10,000 5 dialect per 10,000 s 158 author per 10,000 12 dialect per 10,000 is 134 author per 10,000 58 dialect per 10,000 it 122 author per 10,000 69 dialect per 10,000 we 122 author per 10,000 39 dialect per 10,000 whit 109 author per 10,000 41 dialect per 10,000 be 97 author per 10,000 55 dialect per 10,000 uk 97 author per 10,000 0 dialect per 10,000 eu 85 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 37 dialect per 10,000 are 85 author per 10,000 2 dialect per 10,000 by 85 author per 10,000 7 dialect per 10,000 no 73 author per 10,000 38 dialect per 10,000 wull 73 author per 10,000 0 dialect per 10,000 but 73 author per 10,000 29 dialect per 10,000 73 author per 10,000 2 dialect per 10,000 73 author per 10,000 21 dialect per 10,000 as 73 author per 10,000 78 dialect per 10,000 left 73 author per 10,000 6 dialect per 10,000 in 73 author per 10,000 95 dialect per 10,000 micht 73 author per 10,000 5 dialect per 10,000 dae 61 author per 10,000 1 dialect per 10,000 fowk 61 author per 10,000 0 dialect per 10,000 or 61 author per 10,000 24 dialect per 10,000 britain 61 author per 10,000 0 dialect per 10,000 europe 61 author per 10,000 0 dialect per 10,000 could 49 author per 10,000 12 dialect per 10,000 want 49 author per 10,000 6 dialect per 10,000 monie 49 author per 10,000 0 dialect per 10,000 they 49 author per 10,000 2 dialect per 10,000 on 49 author per 10,000 53 dialect per 10,000 haes 49 author per 10,000 8 dialect per 10,000 their 49 author per 10,000 1 dialect per 10,000 vote 49 author per 10,000 0 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 7 dialect per 10,000 wey 36 author per 10,000 0 dialect per 10,000 oor 36 author per 10,000 1 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 0 dialect per 10,000 at 36 author per 10,000 116 dialect per 10,000 ken 36 author per 10,000 17 dialect per 10,000 muckle 36 author per 10,000 15 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 0 dialect per 10,000 wi 36 author per 10,000 94 dialect per 10,000 wha 36 author per 10,000 5 dialect per 10,000 chynge 36 author per 10,000 0 dialect per 10,000 there 36 author per 10,000 2 dialect per 10,000 isna 36 author per 10,000 1 dialect per 10,000 this 36 author per 10,000 3 dialect per 10,000 ve 36 author per 10,000 1 dialect per 10,000 m 36 author per 10,000 3 dialect per 10,000 aye 36 author per 10,000 14 dialect per 10,000 even 36 author per 10,000 9 dialect per 10,000 lat 36 author per 10,000 7 dialect per 10,000 richt 36 author per 10,000 15 dialect per 10,000 years 36 author per 10,000 5 dialect per 10,000 sae 24 author per 10,000 8 dialect per 10,000 see 24 author per 10,000 22 dialect per 10,000 jist 24 author per 10,000 0 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 13 dialect per 10,000 biggit 24 author per 10,000 1 dialect per 10,000 happens 24 author per 10,000 1 dialect per 10,000 ither 24 author per 10,000 0 dialect per 10,000 efter 24 author per 10,000 10 dialect per 10,000 future 24 author per 10,000 0 dialect per 10,000 can 24 author per 10,000 18 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 2 dialect per 10,000 atween 24 author per 10,000 4 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 28 dialect per 10,000 faur 24 author per 10,000 0 dialect per 10,000 labour 24 author per 10,000 0 dialect per 10,000 hae 24 author per 10,000 24 dialect per 10,000 able 24 author per 10,000 2 dialect per 10,000 mair 24 author per 10,000 17 dialect per 10,000 kintra 24 author per 10,000 0 dialect per 10,000 seems 24 author per 10,000 1 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 14 dialect per 10,000 been 24 author per 10,000 19 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 8 dialect per 10,000 aw 24 author per 10,000 0 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 1 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 0 dialect per 10,000 she 24 author per 10,000 5 dialect per 10,000 fowks 24 author per 10,000 0 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 2 dialect per 10,000 ainlie 24 author per 10,000 0 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 6 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 2 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 0 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 0 dialect per 10,000 haund 12 author per 10,000 0 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 0 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 6 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 0 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 0 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 0 dialect per 10,000 while 12 author per 10,000 5 dialect per 10,000 et 12 author per 10,000 0 dialect per 10,000 nor 12 author per 10,000 3 dialect per 10,000 ane 12 author per 10,000 6 dialect per 10,000 johnson 12 author per 10,000 1 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 0 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 3 dialect per 10,000 unner 12 author per 10,000 0 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 0 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 0 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 61 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 1 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 0 dialect per 10,000 shak 12 author per 10,000 0 dialect per 10,000 up 12 author per 10,000 46 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 2 dialect per 10,000 end 12 author per 10,000 5 dialect per 10,000 anither 12 author per 10,000 0 dialect per 10,000 pairty 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 11 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 26 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 3 dialect per 10,000 certain 12 author per 10,000 0 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 1 dialect per 10,000 better 12 author per 10,000 8 dialect per 10,000 true 12 author per 10,000 1 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 1 dialect per 10,000 play 12 author per 10,000 1 dialect per 10,000 become 12 author per 10,000 0 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 2 dialect per 10,000 intil 12 author per 10,000 0 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000
Orkney
the 754 author per 10,000 554 dialect per 10,000 o 341 author per 10,000 194 dialect per 10,000 an 341 author per 10,000 168 dialect per 10,000 i 316 author per 10,000 145 dialect per 10,000 a 255 author per 10,000 295 dialect per 10,000 tae 255 author per 10,000 224 dialect per 10,000 that 219 author per 10,000 84 dialect per 10,000 s 158 author per 10,000 24 dialect per 10,000 is 134 author per 10,000 74 dialect per 10,000 it 122 author per 10,000 25 dialect per 10,000 we 122 author per 10,000 35 dialect per 10,000 whit 109 author per 10,000 32 dialect per 10,000 be 97 author per 10,000 44 dialect per 10,000 uk 97 author per 10,000 0 dialect per 10,000 eu 85 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 24 dialect per 10,000 are 85 author per 10,000 14 dialect per 10,000 by 85 author per 10,000 15 dialect per 10,000 no 73 author per 10,000 58 dialect per 10,000 wull 73 author per 10,000 0 dialect per 10,000 but 73 author per 10,000 35 dialect per 10,000 73 author per 10,000 18 dialect per 10,000 73 author per 10,000 19 dialect per 10,000 as 73 author per 10,000 54 dialect per 10,000 left 73 author per 10,000 5 dialect per 10,000 in 73 author per 10,000 141 dialect per 10,000 micht 73 author per 10,000 0 dialect per 10,000 dae 61 author per 10,000 8 dialect per 10,000 fowk 61 author per 10,000 0 dialect per 10,000 or 61 author per 10,000 35 dialect per 10,000 britain 61 author per 10,000 0 dialect per 10,000 europe 61 author per 10,000 0 dialect per 10,000 could 49 author per 10,000 13 dialect per 10,000 want 49 author per 10,000 5 dialect per 10,000 monie 49 author per 10,000 0 dialect per 10,000 they 49 author per 10,000 35 dialect per 10,000 on 49 author per 10,000 76 dialect per 10,000 haes 49 author per 10,000 5 dialect per 10,000 their 49 author per 10,000 8 dialect per 10,000 vote 49 author per 10,000 0 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 1 dialect per 10,000 wey 36 author per 10,000 12 dialect per 10,000 oor 36 author per 10,000 2 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 0 dialect per 10,000 at 36 author per 10,000 56 dialect per 10,000 ken 36 author per 10,000 17 dialect per 10,000 muckle 36 author per 10,000 8 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 4 dialect per 10,000 wi 36 author per 10,000 60 dialect per 10,000 wha 36 author per 10,000 4 dialect per 10,000 chynge 36 author per 10,000 0 dialect per 10,000 there 36 author per 10,000 20 dialect per 10,000 isna 36 author per 10,000 1 dialect per 10,000 this 36 author per 10,000 39 dialect per 10,000 ve 36 author per 10,000 1 dialect per 10,000 m 36 author per 10,000 5 dialect per 10,000 aye 36 author per 10,000 10 dialect per 10,000 even 36 author per 10,000 7 dialect per 10,000 lat 36 author per 10,000 0 dialect per 10,000 richt 36 author per 10,000 0 dialect per 10,000 years 36 author per 10,000 3 dialect per 10,000 sae 24 author per 10,000 1 dialect per 10,000 see 24 author per 10,000 15 dialect per 10,000 jist 24 author per 10,000 1 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 11 dialect per 10,000 biggit 24 author per 10,000 0 dialect per 10,000 happens 24 author per 10,000 0 dialect per 10,000 ither 24 author per 10,000 10 dialect per 10,000 efter 24 author per 10,000 5 dialect per 10,000 future 24 author per 10,000 2 dialect per 10,000 can 24 author per 10,000 15 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 0 dialect per 10,000 atween 24 author per 10,000 5 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 19 dialect per 10,000 faur 24 author per 10,000 0 dialect per 10,000 labour 24 author per 10,000 0 dialect per 10,000 hae 24 author per 10,000 13 dialect per 10,000 able 24 author per 10,000 0 dialect per 10,000 mair 24 author per 10,000 0 dialect per 10,000 kintra 24 author per 10,000 0 dialect per 10,000 seems 24 author per 10,000 3 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 12 dialect per 10,000 been 24 author per 10,000 19 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 10 dialect per 10,000 aw 24 author per 10,000 0 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 1 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 0 dialect per 10,000 she 24 author per 10,000 7 dialect per 10,000 fowks 24 author per 10,000 0 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 11 dialect per 10,000 ainlie 24 author per 10,000 0 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 0 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 4 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 3 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 0 dialect per 10,000 haund 12 author per 10,000 0 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 1 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 1 dialect per 10,000 seen 12 author per 10,000 7 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 0 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 0 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 0 dialect per 10,000 while 12 author per 10,000 7 dialect per 10,000 et 12 author per 10,000 0 dialect per 10,000 nor 12 author per 10,000 1 dialect per 10,000 ane 12 author per 10,000 1 dialect per 10,000 johnson 12 author per 10,000 0 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 2 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 3 dialect per 10,000 unner 12 author per 10,000 1 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 6 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 0 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 0 dialect per 10,000 his 12 author per 10,000 68 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 1 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 1 dialect per 10,000 shak 12 author per 10,000 1 dialect per 10,000 up 12 author per 10,000 26 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 0 dialect per 10,000 end 12 author per 10,000 6 dialect per 10,000 anither 12 author per 10,000 10 dialect per 10,000 pairty 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 3 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 3 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 0 dialect per 10,000 certain 12 author per 10,000 1 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 11 dialect per 10,000 better 12 author per 10,000 5 dialect per 10,000 true 12 author per 10,000 3 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 0 dialect per 10,000 play 12 author per 10,000 1 dialect per 10,000 become 12 author per 10,000 0 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 1 dialect per 10,000 intil 12 author per 10,000 0 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000
Southern
the 754 author per 10,000 463 dialect per 10,000 o 341 author per 10,000 191 dialect per 10,000 an 341 author per 10,000 303 dialect per 10,000 i 316 author per 10,000 62 dialect per 10,000 a 255 author per 10,000 239 dialect per 10,000 tae 255 author per 10,000 206 dialect per 10,000 that 219 author per 10,000 61 dialect per 10,000 s 158 author per 10,000 32 dialect per 10,000 is 134 author per 10,000 60 dialect per 10,000 it 122 author per 10,000 60 dialect per 10,000 we 122 author per 10,000 18 dialect per 10,000 whit 109 author per 10,000 29 dialect per 10,000 be 97 author per 10,000 12 dialect per 10,000 uk 97 author per 10,000 0 dialect per 10,000 eu 85 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 15 dialect per 10,000 are 85 author per 10,000 11 dialect per 10,000 by 85 author per 10,000 7 dialect per 10,000 no 73 author per 10,000 28 dialect per 10,000 wull 73 author per 10,000 8 dialect per 10,000 but 73 author per 10,000 39 dialect per 10,000 73 author per 10,000 1 dialect per 10,000 73 author per 10,000 11 dialect per 10,000 as 73 author per 10,000 52 dialect per 10,000 left 73 author per 10,000 5 dialect per 10,000 in 73 author per 10,000 111 dialect per 10,000 micht 73 author per 10,000 7 dialect per 10,000 dae 61 author per 10,000 13 dialect per 10,000 fowk 61 author per 10,000 3 dialect per 10,000 or 61 author per 10,000 25 dialect per 10,000 britain 61 author per 10,000 0 dialect per 10,000 europe 61 author per 10,000 0 dialect per 10,000 could 49 author per 10,000 13 dialect per 10,000 want 49 author per 10,000 3 dialect per 10,000 monie 49 author per 10,000 3 dialect per 10,000 they 49 author per 10,000 36 dialect per 10,000 on 49 author per 10,000 50 dialect per 10,000 haes 49 author per 10,000 4 dialect per 10,000 their 49 author per 10,000 14 dialect per 10,000 vote 49 author per 10,000 0 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 2 dialect per 10,000 wey 36 author per 10,000 4 dialect per 10,000 oor 36 author per 10,000 12 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 0 dialect per 10,000 at 36 author per 10,000 70 dialect per 10,000 ken 36 author per 10,000 18 dialect per 10,000 muckle 36 author per 10,000 6 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 1 dialect per 10,000 wi 36 author per 10,000 71 dialect per 10,000 wha 36 author per 10,000 2 dialect per 10,000 chynge 36 author per 10,000 1 dialect per 10,000 there 36 author per 10,000 16 dialect per 10,000 isna 36 author per 10,000 1 dialect per 10,000 this 36 author per 10,000 33 dialect per 10,000 ve 36 author per 10,000 4 dialect per 10,000 m 36 author per 10,000 4 dialect per 10,000 aye 36 author per 10,000 11 dialect per 10,000 even 36 author per 10,000 6 dialect per 10,000 lat 36 author per 10,000 1 dialect per 10,000 richt 36 author per 10,000 17 dialect per 10,000 years 36 author per 10,000 4 dialect per 10,000 sae 24 author per 10,000 26 dialect per 10,000 see 24 author per 10,000 6 dialect per 10,000 jist 24 author per 10,000 16 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 17 dialect per 10,000 biggit 24 author per 10,000 2 dialect per 10,000 happens 24 author per 10,000 1 dialect per 10,000 ither 24 author per 10,000 12 dialect per 10,000 efter 24 author per 10,000 14 dialect per 10,000 future 24 author per 10,000 1 dialect per 10,000 can 24 author per 10,000 12 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 2 dialect per 10,000 atween 24 author per 10,000 6 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 16 dialect per 10,000 faur 24 author per 10,000 2 dialect per 10,000 labour 24 author per 10,000 1 dialect per 10,000 hae 24 author per 10,000 33 dialect per 10,000 able 24 author per 10,000 1 dialect per 10,000 mair 24 author per 10,000 16 dialect per 10,000 kintra 24 author per 10,000 1 dialect per 10,000 seems 24 author per 10,000 1 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 8 dialect per 10,000 been 24 author per 10,000 9 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 2 dialect per 10,000 aw 24 author per 10,000 33 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 3 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 1 dialect per 10,000 she 24 author per 10,000 77 dialect per 10,000 fowks 24 author per 10,000 0 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 4 dialect per 10,000 ainlie 24 author per 10,000 0 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 10 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 1 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 8 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 0 dialect per 10,000 haund 12 author per 10,000 4 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 2 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 5 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 0 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 0 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 0 dialect per 10,000 while 12 author per 10,000 7 dialect per 10,000 et 12 author per 10,000 2 dialect per 10,000 nor 12 author per 10,000 5 dialect per 10,000 ane 12 author per 10,000 9 dialect per 10,000 johnson 12 author per 10,000 0 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 0 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 2 dialect per 10,000 unner 12 author per 10,000 1 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 1 dialect per 10,000 us 12 author per 10,000 7 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 0 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 1 dialect per 10,000 his 12 author per 10,000 38 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 2 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 0 dialect per 10,000 shak 12 author per 10,000 0 dialect per 10,000 up 12 author per 10,000 41 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 3 dialect per 10,000 end 12 author per 10,000 6 dialect per 10,000 anither 12 author per 10,000 8 dialect per 10,000 pairty 12 author per 10,000 1 dialect per 10,000 gie 12 author per 10,000 12 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 26 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 0 dialect per 10,000 certain 12 author per 10,000 0 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 7 dialect per 10,000 better 12 author per 10,000 3 dialect per 10,000 true 12 author per 10,000 2 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 0 dialect per 10,000 play 12 author per 10,000 2 dialect per 10,000 become 12 author per 10,000 1 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 1 dialect per 10,000 intil 12 author per 10,000 9 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000
Ulster
the 754 author per 10,000 209 dialect per 10,000 o 341 author per 10,000 249 dialect per 10,000 an 341 author per 10,000 413 dialect per 10,000 i 316 author per 10,000 9 dialect per 10,000 a 255 author per 10,000 292 dialect per 10,000 tae 255 author per 10,000 252 dialect per 10,000 that 219 author per 10,000 81 dialect per 10,000 s 158 author per 10,000 14 dialect per 10,000 is 134 author per 10,000 21 dialect per 10,000 it 122 author per 10,000 78 dialect per 10,000 we 122 author per 10,000 17 dialect per 10,000 whit 109 author per 10,000 2 dialect per 10,000 be 97 author per 10,000 47 dialect per 10,000 uk 97 author per 10,000 3 dialect per 10,000 eu 85 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 40 dialect per 10,000 are 85 author per 10,000 2 dialect per 10,000 by 85 author per 10,000 9 dialect per 10,000 no 73 author per 10,000 25 dialect per 10,000 wull 73 author per 10,000 36 dialect per 10,000 but 73 author per 10,000 49 dialect per 10,000 73 author per 10,000 0 dialect per 10,000 73 author per 10,000 17 dialect per 10,000 as 73 author per 10,000 30 dialect per 10,000 left 73 author per 10,000 4 dialect per 10,000 in 73 author per 10,000 102 dialect per 10,000 micht 73 author per 10,000 7 dialect per 10,000 dae 61 author per 10,000 27 dialect per 10,000 fowk 61 author per 10,000 24 dialect per 10,000 or 61 author per 10,000 43 dialect per 10,000 britain 61 author per 10,000 0 dialect per 10,000 europe 61 author per 10,000 0 dialect per 10,000 could 49 author per 10,000 1 dialect per 10,000 want 49 author per 10,000 4 dialect per 10,000 monie 49 author per 10,000 3 dialect per 10,000 they 49 author per 10,000 24 dialect per 10,000 on 49 author per 10,000 66 dialect per 10,000 haes 49 author per 10,000 25 dialect per 10,000 their 49 author per 10,000 6 dialect per 10,000 vote 49 author per 10,000 0 dialect per 10,000 remain 36 author per 10,000 0 dialect per 10,000 comin 36 author per 10,000 2 dialect per 10,000 wey 36 author per 10,000 0 dialect per 10,000 oor 36 author per 10,000 12 dialect per 10,000 editor 36 author per 10,000 0 dialect per 10,000 gree 36 author per 10,000 1 dialect per 10,000 at 36 author per 10,000 45 dialect per 10,000 ken 36 author per 10,000 3 dialect per 10,000 muckle 36 author per 10,000 2 dialect per 10,000 brexit 36 author per 10,000 0 dialect per 10,000 dinna 36 author per 10,000 0 dialect per 10,000 wi 36 author per 10,000 74 dialect per 10,000 wha 36 author per 10,000 11 dialect per 10,000 chynge 36 author per 10,000 0 dialect per 10,000 there 36 author per 10,000 6 dialect per 10,000 isna 36 author per 10,000 0 dialect per 10,000 this 36 author per 10,000 29 dialect per 10,000 ve 36 author per 10,000 0 dialect per 10,000 m 36 author per 10,000 1 dialect per 10,000 aye 36 author per 10,000 13 dialect per 10,000 even 36 author per 10,000 4 dialect per 10,000 lat 36 author per 10,000 0 dialect per 10,000 richt 36 author per 10,000 16 dialect per 10,000 years 36 author per 10,000 2 dialect per 10,000 sae 24 author per 10,000 28 dialect per 10,000 see 24 author per 10,000 18 dialect per 10,000 jist 24 author per 10,000 11 dialect per 10,000 govrenments 24 author per 10,000 0 dialect per 10,000 say 24 author per 10,000 12 dialect per 10,000 biggit 24 author per 10,000 1 dialect per 10,000 happens 24 author per 10,000 0 dialect per 10,000 ither 24 author per 10,000 17 dialect per 10,000 efter 24 author per 10,000 6 dialect per 10,000 future 24 author per 10,000 0 dialect per 10,000 can 24 author per 10,000 13 dialect per 10,000 ultimately 24 author per 10,000 0 dialect per 10,000 idea 24 author per 10,000 0 dialect per 10,000 atween 24 author per 10,000 3 dialect per 10,000 decade 24 author per 10,000 0 dialect per 10,000 ower 24 author per 10,000 19 dialect per 10,000 faur 24 author per 10,000 1 dialect per 10,000 labour 24 author per 10,000 0 dialect per 10,000 hae 24 author per 10,000 57 dialect per 10,000 able 24 author per 10,000 1 dialect per 10,000 mair 24 author per 10,000 27 dialect per 10,000 kintra 24 author per 10,000 0 dialect per 10,000 seems 24 author per 10,000 1 dialect per 10,000 threip 24 author per 10,000 0 dialect per 10,000 tak 24 author per 10,000 16 dialect per 10,000 been 24 author per 10,000 1 dialect per 10,000 hugely 24 author per 10,000 0 dialect per 10,000 things 24 author per 10,000 4 dialect per 10,000 aw 24 author per 10,000 2 dialect per 10,000 radical 24 author per 10,000 0 dialect per 10,000 scotland 24 author per 10,000 0 dialect per 10,000 shaped 24 author per 10,000 0 dialect per 10,000 byde 24 author per 10,000 0 dialect per 10,000 she 24 author per 10,000 16 dialect per 10,000 fowks 24 author per 10,000 1 dialect per 10,000 favour 24 author per 10,000 0 dialect per 10,000 hoo 24 author per 10,000 11 dialect per 10,000 ainlie 24 author per 10,000 0 dialect per 10,000 eimage 12 author per 10,000 0 dialect per 10,000 truncher 12 author per 10,000 0 dialect per 10,000 ain 12 author per 10,000 13 dialect per 10,000 rogue 12 author per 10,000 0 dialect per 10,000 re-mak 12 author per 10,000 0 dialect per 10,000 though 12 author per 10,000 1 dialect per 10,000 attemptit 12 author per 10,000 0 dialect per 10,000 thaim 12 author per 10,000 40 dialect per 10,000 allooin 12 author per 10,000 0 dialect per 10,000 tories 12 author per 10,000 0 dialect per 10,000 haund 12 author per 10,000 0 dialect per 10,000 fires 12 author per 10,000 0 dialect per 10,000 stoke 12 author per 10,000 0 dialect per 10,000 amang 12 author per 10,000 8 dialect per 10,000 racism 12 author per 10,000 0 dialect per 10,000 furder 12 author per 10,000 0 dialect per 10,000 seen 12 author per 10,000 4 dialect per 10,000 allies 12 author per 10,000 0 dialect per 10,000 leash 12 author per 10,000 0 dialect per 10,000 alternative 12 author per 10,000 0 dialect per 10,000 politics 12 author per 10,000 0 dialect per 10,000 ideology 12 author per 10,000 0 dialect per 10,000 neoliberalism 12 author per 10,000 0 dialect per 10,000 media 12 author per 10,000 0 dialect per 10,000 strainin 12 author per 10,000 0 dialect per 10,000 politicians 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 jalouse 12 author per 10,000 0 dialect per 10,000 al 12 author per 10,000 2 dialect per 10,000 while 12 author per 10,000 6 dialect per 10,000 et 12 author per 10,000 1 dialect per 10,000 nor 12 author per 10,000 10 dialect per 10,000 ane 12 author per 10,000 0 dialect per 10,000 johnson 12 author per 10,000 0 dialect per 10,000 boris 12 author per 10,000 0 dialect per 10,000 merkel 12 author per 10,000 0 dialect per 10,000 aidit 12 author per 10,000 0 dialect per 10,000 rich 12 author per 10,000 1 dialect per 10,000 paradise 12 author per 10,000 0 dialect per 10,000 ll 12 author per 10,000 2 dialect per 10,000 unner 12 author per 10,000 2 dialect per 10,000 pretendin 12 author per 10,000 0 dialect per 10,000 cameron 12 author per 10,000 0 dialect per 10,000 us 12 author per 10,000 4 dialect per 10,000 legitimised 12 author per 10,000 0 dialect per 10,000 anti-public 12 author per 10,000 0 dialect per 10,000 pro-exploitation 12 author per 10,000 0 dialect per 10,000 british 12 author per 10,000 0 dialect per 10,000 nationalistic 12 author per 10,000 0 dialect per 10,000 immune 12 author per 10,000 0 dialect per 10,000 exceptional 12 author per 10,000 0 dialect per 10,000 imagination 12 author per 10,000 0 dialect per 10,000 racist 12 author per 10,000 0 dialect per 10,000 lane 12 author per 10,000 2 dialect per 10,000 his 12 author per 10,000 22 dialect per 10,000 fully 12 author per 10,000 0 dialect per 10,000 shows 12 author per 10,000 0 dialect per 10,000 agenda 12 author per 10,000 0 dialect per 10,000 deidly 12 author per 10,000 0 dialect per 10,000 extreme 12 author per 10,000 0 dialect per 10,000 short 12 author per 10,000 0 dialect per 10,000 stitch-up 12 author per 10,000 0 dialect per 10,000 elite 12 author per 10,000 0 dialect per 10,000 bear 12 author per 10,000 0 dialect per 10,000 shak 12 author per 10,000 0 dialect per 10,000 up 12 author per 10,000 36 dialect per 10,000 neoliberal 12 author per 10,000 0 dialect per 10,000 sicht 12 author per 10,000 4 dialect per 10,000 end 12 author per 10,000 0 dialect per 10,000 anither 12 author per 10,000 9 dialect per 10,000 pairty 12 author per 10,000 0 dialect per 10,000 gie 12 author per 10,000 17 dialect per 10,000 genuinely 12 author per 10,000 0 dialect per 10,000 nae 12 author per 10,000 24 dialect per 10,000 anti-establishment 12 author per 10,000 0 dialect per 10,000 jalousin 12 author per 10,000 0 dialect per 10,000 oniething 12 author per 10,000 0 dialect per 10,000 kintras 12 author per 10,000 0 dialect per 10,000 yit 12 author per 10,000 9 dialect per 10,000 certain 12 author per 10,000 0 dialect per 10,000 memmer 12 author per 10,000 0 dialect per 10,000 achieve 12 author per 10,000 0 dialect per 10,000 states 12 author per 10,000 0 dialect per 10,000 impossible 12 author per 10,000 0 dialect per 10,000 corbyn 12 author per 10,000 0 dialect per 10,000 think 12 author per 10,000 8 dialect per 10,000 better 12 author per 10,000 2 dialect per 10,000 true 12 author per 10,000 1 dialect per 10,000 factors 12 author per 10,000 0 dialect per 10,000 winna 12 author per 10,000 0 dialect per 10,000 play 12 author per 10,000 2 dialect per 10,000 become 12 author per 10,000 0 dialect per 10,000 furstration 12 author per 10,000 0 dialect per 10,000 lowp 12 author per 10,000 0 dialect per 10,000 plea 12 author per 10,000 0 dialect per 10,000 happen 12 author per 10,000 1 dialect per 10,000 intil 12 author per 10,000 1 dialect per 10,000 refugees 12 author per 10,000 0 dialect per 10,000