A Corpus of 21st Century Scots Texts

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Riddell, Conor


Total words by this author in corpus - 528
Total unique words used by this author in corpus - 222
Ratio of total words to unique words - 2.378
Top ten most common words - a, the, tae, it, wis, ma, hid, and, o, in,

Word frequency analysis

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

Central
a 1061 author per 10,000 266 dialect per 10,000 the 492 author per 10,000 565 dialect per 10,000 tae 473 author per 10,000 211 dialect per 10,000 it 398 author per 10,000 115 dialect per 10,000 wis 379 author per 10,000 96 dialect per 10,000 ma 265 author per 10,000 52 dialect per 10,000 hid 227 author per 10,000 2 dialect per 10,000 and 170 author per 10,000 94 dialect per 10,000 o 133 author per 10,000 183 dialect per 10,000 in 133 author per 10,000 147 dialect per 10,000 there 133 author per 10,000 23 dialect per 10,000 an 133 author per 10,000 224 dialect per 10,000 got 114 author per 10,000 11 dialect per 10,000 hame 95 author per 10,000 6 dialect per 10,000 on 95 author per 10,000 54 dialect per 10,000 be 95 author per 10,000 48 dialect per 10,000 time 76 author per 10,000 18 dialect per 10,000 richt 76 author per 10,000 12 dialect per 10,000 get 76 author per 10,000 14 dialect per 10,000 aboot 76 author per 10,000 29 dialect per 10,000 ower 76 author per 10,000 19 dialect per 10,000 christmas 76 author per 10,000 1 dialect per 10,000 wi 76 author per 10,000 67 dialect per 10,000 oot 76 author per 10,000 40 dialect per 10,000 so 76 author per 10,000 10 dialect per 10,000 ane 76 author per 10,000 9 dialect per 10,000 hotel 76 author per 10,000 0 dialect per 10,000 than 57 author per 10,000 10 dialect per 10,000 late 57 author per 10,000 2 dialect per 10,000 bed 57 author per 10,000 3 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 40 dialect per 10,000 cos 57 author per 10,000 1 dialect per 10,000 lichts 57 author per 10,000 1 dialect per 10,000 holiday 57 author per 10,000 0 dialect per 10,000 ready 38 author per 10,000 1 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 20 dialect per 10,000 back 38 author per 10,000 21 dialect per 10,000 day 38 author per 10,000 14 dialect per 10,000 but 38 author per 10,000 48 dialect per 10,000 came 38 author per 10,000 3 dialect per 10,000 didna 38 author per 10,000 4 dialect per 10,000 next 38 author per 10,000 3 dialect per 10,000 start 38 author per 10,000 1 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 29 dialect per 10,000 shops 38 author per 10,000 0 dialect per 10,000 cauld 38 author per 10,000 3 dialect per 10,000 wid 38 author per 10,000 8 dialect per 10,000 bonny 38 author per 10,000 1 dialect per 10,000 fowk 38 author per 10,000 12 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 15 dialect per 10,000 i 38 author per 10,000 40 dialect per 10,000 say 38 author per 10,000 10 dialect per 10,000 nae 38 author per 10,000 24 dialect per 10,000 that 38 author per 10,000 106 dialect per 10,000 happy 38 author per 10,000 1 dialect per 10,000 €™s 38 author per 10,000 32 dialect per 10,000 fir 38 author per 10,000 9 dialect per 10,000 trip 38 author per 10,000 0 dialect per 10,000 wint 38 author per 10,000 0 dialect per 10,000 days 38 author per 10,000 5 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 0 dialect per 10,000 go 38 author per 10,000 6 dialect per 10,000 me 38 author per 10,000 40 dialect per 10,000 grand 38 author per 10,000 1 dialect per 10,000 thocht 38 author per 10,000 8 dialect per 10,000 gled 38 author per 10,000 1 dialect per 10,000 couple 38 author per 10,000 2 dialect per 10,000 tak 38 author per 10,000 8 dialect per 10,000 takin 38 author per 10,000 2 dialect per 10,000 better 19 author per 10,000 5 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 0 dialect per 10,000 think 19 author per 10,000 9 dialect per 10,000 see 19 author per 10,000 17 dialect per 10,000 tell 19 author per 10,000 8 dialect per 10,000 them 19 author per 10,000 17 dialect per 10,000 every 19 author per 10,000 3 dialect per 10,000 you 19 author per 10,000 15 dialect per 10,000 could 19 author per 10,000 9 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 0 dialect per 10,000 place 19 author per 10,000 5 dialect per 10,000 masel 19 author per 10,000 4 dialect per 10,000 death 19 author per 10,000 1 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 1 dialect per 10,000 afore 19 author per 10,000 10 dialect per 10,000 fit 19 author per 10,000 2 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 sound 19 author per 10,000 1 dialect per 10,000 safe 19 author per 10,000 1 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 18 dialect per 10,000 hoose 19 author per 10,000 7 dialect per 10,000 way 19 author per 10,000 3 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 iver 19 author per 10,000 0 dialect per 10,000 nicht 19 author per 10,000 6 dialect per 10,000 just 19 author per 10,000 4 dialect per 10,000 best 19 author per 10,000 4 dialect per 10,000 they 19 author per 10,000 41 dialect per 10,000 offer 19 author per 10,000 0 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 1 dialect per 10,000 fancy 19 author per 10,000 1 dialect per 10,000 coffee 19 author per 10,000 0 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 2 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 1 dialect per 10,000 shut 19 author per 10,000 2 dialect per 10,000 mind 19 author per 10,000 8 dialect per 10,000 awa 19 author per 10,000 12 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 1 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 9 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 here 19 author per 10,000 12 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 too 19 author per 10,000 3 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 1 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 1 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 59 dialect per 10,000 wait 19 author per 10,000 1 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 3 dialect per 10,000 bit 19 author per 10,000 17 dialect per 10,000 worth 19 author per 10,000 1 dialect per 10,000 finally 19 author per 10,000 1 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 17 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 very 19 author per 10,000 1 dialect per 10,000 weel 19 author per 10,000 10 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 to 19 author per 10,000 9 dialect per 10,000 missed 19 author per 10,000 0 dialect per 10,000 wir 19 author per 10,000 5 dialect per 10,000 athing 19 author per 10,000 0 dialect per 10,000 runnin 19 author per 10,000 1 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 ae 19 author per 10,000 24 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 3 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 0 dialect per 10,000 gan 19 author per 10,000 1 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 17 dialect per 10,000 gaun 19 author per 10,000 7 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 1 dialect per 10,000 worst 19 author per 10,000 0 dialect per 10,000 wintit 19 author per 10,000 0 dialect per 10,000 ther 19 author per 10,000 0 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 2 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 0 dialect per 10,000 across 19 author per 10,000 2 dialect per 10,000 city 19 author per 10,000 1 dialect per 10,000 dark 19 author per 10,000 1 dialect per 10,000 bath 19 author per 10,000 0 dialect per 10,000 huge 19 author per 10,000 0 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 2 dialect per 10,000 opened 19 author per 10,000 1 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 2 dialect per 10,000 foo 19 author per 10,000 0 dialect per 10,000 for 19 author per 10,000 47 dialect per 10,000 wide 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 4 dialect per 10,000 		Doric
a 1061 author per 10,000 315 dialect per 10,000 the 492 author per 10,000 451 dialect per 10,000 tae 473 author per 10,000 172 dialect per 10,000 it 398 author per 10,000 99 dialect per 10,000 wis 379 author per 10,000 105 dialect per 10,000 ma 265 author per 10,000 49 dialect per 10,000 hid 227 author per 10,000 33 dialect per 10,000 and 170 author per 10,000 42 dialect per 10,000 o 133 author per 10,000 175 dialect per 10,000 in 133 author per 10,000 131 dialect per 10,000 there 133 author per 10,000 22 dialect per 10,000 an 133 author per 10,000 303 dialect per 10,000 got 114 author per 10,000 15 dialect per 10,000 hame 95 author per 10,000 11 dialect per 10,000 on 95 author per 10,000 68 dialect per 10,000 be 95 author per 10,000 45 dialect per 10,000 time 76 author per 10,000 19 dialect per 10,000 richt 76 author per 10,000 19 dialect per 10,000 get 76 author per 10,000 16 dialect per 10,000 aboot 76 author per 10,000 33 dialect per 10,000 ower 76 author per 10,000 30 dialect per 10,000 christmas 76 author per 10,000 1 dialect per 10,000 wi 76 author per 10,000 77 dialect per 10,000 oot 76 author per 10,000 50 dialect per 10,000 so 76 author per 10,000 18 dialect per 10,000 ane 76 author per 10,000 5 dialect per 10,000 hotel 76 author per 10,000 1 dialect per 10,000 than 57 author per 10,000 8 dialect per 10,000 late 57 author per 10,000 2 dialect per 10,000 bed 57 author per 10,000 3 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 47 dialect per 10,000 cos 57 author per 10,000 1 dialect per 10,000 lichts 57 author per 10,000 1 dialect per 10,000 holiday 57 author per 10,000 1 dialect per 10,000 ready 38 author per 10,000 1 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 36 dialect per 10,000 back 38 author per 10,000 21 dialect per 10,000 day 38 author per 10,000 26 dialect per 10,000 but 38 author per 10,000 25 dialect per 10,000 came 38 author per 10,000 4 dialect per 10,000 didna 38 author per 10,000 11 dialect per 10,000 next 38 author per 10,000 3 dialect per 10,000 start 38 author per 10,000 1 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 37 dialect per 10,000 shops 38 author per 10,000 1 dialect per 10,000 cauld 38 author per 10,000 4 dialect per 10,000 wid 38 author per 10,000 18 dialect per 10,000 bonny 38 author per 10,000 4 dialect per 10,000 fowk 38 author per 10,000 13 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 13 dialect per 10,000 i 38 author per 10,000 68 dialect per 10,000 say 38 author per 10,000 14 dialect per 10,000 nae 38 author per 10,000 51 dialect per 10,000 that 38 author per 10,000 53 dialect per 10,000 happy 38 author per 10,000 2 dialect per 10,000 €™s 38 author per 10,000 21 dialect per 10,000 fir 38 author per 10,000 14 dialect per 10,000 trip 38 author per 10,000 0 dialect per 10,000 wint 38 author per 10,000 7 dialect per 10,000 days 38 author per 10,000 5 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 0 dialect per 10,000 go 38 author per 10,000 4 dialect per 10,000 me 38 author per 10,000 32 dialect per 10,000 grand 38 author per 10,000 1 dialect per 10,000 thocht 38 author per 10,000 14 dialect per 10,000 gled 38 author per 10,000 1 dialect per 10,000 couple 38 author per 10,000 1 dialect per 10,000 tak 38 author per 10,000 11 dialect per 10,000 takin 38 author per 10,000 1 dialect per 10,000 better 19 author per 10,000 6 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 2 dialect per 10,000 think 19 author per 10,000 11 dialect per 10,000 see 19 author per 10,000 21 dialect per 10,000 tell 19 author per 10,000 9 dialect per 10,000 them 19 author per 10,000 23 dialect per 10,000 every 19 author per 10,000 1 dialect per 10,000 you 19 author per 10,000 18 dialect per 10,000 could 19 author per 10,000 8 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 17 dialect per 10,000 place 19 author per 10,000 5 dialect per 10,000 masel 19 author per 10,000 4 dialect per 10,000 death 19 author per 10,000 1 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 1 dialect per 10,000 afore 19 author per 10,000 14 dialect per 10,000 fit 19 author per 10,000 40 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 sound 19 author per 10,000 0 dialect per 10,000 safe 19 author per 10,000 1 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 33 dialect per 10,000 hoose 19 author per 10,000 10 dialect per 10,000 way 19 author per 10,000 1 dialect per 10,000 wye 19 author per 10,000 11 dialect per 10,000 iver 19 author per 10,000 1 dialect per 10,000 nicht 19 author per 10,000 12 dialect per 10,000 just 19 author per 10,000 2 dialect per 10,000 best 19 author per 10,000 5 dialect per 10,000 they 19 author per 10,000 36 dialect per 10,000 offer 19 author per 10,000 1 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 0 dialect per 10,000 fancy 19 author per 10,000 1 dialect per 10,000 coffee 19 author per 10,000 1 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 3 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 0 dialect per 10,000 shut 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 5 dialect per 10,000 awa 19 author per 10,000 21 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 2 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 13 dialect per 10,000 far 19 author per 10,000 14 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 23 dialect per 10,000 here 19 author per 10,000 11 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 too 19 author per 10,000 1 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 2 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 1 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 52 dialect per 10,000 wait 19 author per 10,000 1 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 3 dialect per 10,000 bit 19 author per 10,000 43 dialect per 10,000 worth 19 author per 10,000 1 dialect per 10,000 finally 19 author per 10,000 1 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 9 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 9 dialect per 10,000 very 19 author per 10,000 1 dialect per 10,000 weel 19 author per 10,000 19 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 to 19 author per 10,000 8 dialect per 10,000 missed 19 author per 10,000 0 dialect per 10,000 wir 19 author per 10,000 5 dialect per 10,000 athing 19 author per 10,000 1 dialect per 10,000 runnin 19 author per 10,000 0 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 18 dialect per 10,000 ae 19 author per 10,000 7 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 2 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 0 dialect per 10,000 gan 19 author per 10,000 5 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 16 dialect per 10,000 gaun 19 author per 10,000 5 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 0 dialect per 10,000 worst 19 author per 10,000 0 dialect per 10,000 wintit 19 author per 10,000 1 dialect per 10,000 ther 19 author per 10,000 1 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 3 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 3 dialect per 10,000 across 19 author per 10,000 2 dialect per 10,000 city 19 author per 10,000 1 dialect per 10,000 dark 19 author per 10,000 1 dialect per 10,000 bath 19 author per 10,000 1 dialect per 10,000 huge 19 author per 10,000 0 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 2 dialect per 10,000 opened 19 author per 10,000 2 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 8 dialect per 10,000 foo 19 author per 10,000 7 dialect per 10,000 for 19 author per 10,000 46 dialect per 10,000 wide 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 2 dialect per 10,000
Shetland
a 1061 author per 10,000 280 dialect per 10,000 the 492 author per 10,000 18 dialect per 10,000 tae 473 author per 10,000 86 dialect per 10,000 it 398 author per 10,000 58 dialect per 10,000 wis 379 author per 10,000 162 dialect per 10,000 ma 265 author per 10,000 0 dialect per 10,000 hid 227 author per 10,000 1 dialect per 10,000 and 170 author per 10,000 15 dialect per 10,000 o 133 author per 10,000 177 dialect per 10,000 in 133 author per 10,000 105 dialect per 10,000 there 133 author per 10,000 1 dialect per 10,000 an 133 author per 10,000 330 dialect per 10,000 got 114 author per 10,000 8 dialect per 10,000 hame 95 author per 10,000 7 dialect per 10,000 on 95 author per 10,000 52 dialect per 10,000 be 95 author per 10,000 56 dialect per 10,000 time 76 author per 10,000 21 dialect per 10,000 richt 76 author per 10,000 13 dialect per 10,000 get 76 author per 10,000 6 dialect per 10,000 aboot 76 author per 10,000 41 dialect per 10,000 ower 76 author per 10,000 24 dialect per 10,000 christmas 76 author per 10,000 2 dialect per 10,000 wi 76 author per 10,000 95 dialect per 10,000 oot 76 author per 10,000 42 dialect per 10,000 so 76 author per 10,000 26 dialect per 10,000 ane 76 author per 10,000 4 dialect per 10,000 hotel 76 author per 10,000 0 dialect per 10,000 than 57 author per 10,000 0 dialect per 10,000 late 57 author per 10,000 1 dialect per 10,000 bed 57 author per 10,000 3 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 42 dialect per 10,000 cos 57 author per 10,000 0 dialect per 10,000 lichts 57 author per 10,000 0 dialect per 10,000 holiday 57 author per 10,000 1 dialect per 10,000 ready 38 author per 10,000 2 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 0 dialect per 10,000 back 38 author per 10,000 18 dialect per 10,000 day 38 author per 10,000 18 dialect per 10,000 but 38 author per 10,000 29 dialect per 10,000 came 38 author per 10,000 0 dialect per 10,000 didna 38 author per 10,000 10 dialect per 10,000 next 38 author per 10,000 1 dialect per 10,000 start 38 author per 10,000 7 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 2 dialect per 10,000 shops 38 author per 10,000 0 dialect per 10,000 cauld 38 author per 10,000 0 dialect per 10,000 wid 38 author per 10,000 38 dialect per 10,000 bonny 38 author per 10,000 0 dialect per 10,000 fowk 38 author per 10,000 0 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 3 dialect per 10,000 i 38 author per 10,000 143 dialect per 10,000 say 38 author per 10,000 11 dialect per 10,000 nae 38 author per 10,000 23 dialect per 10,000 that 38 author per 10,000 4 dialect per 10,000 happy 38 author per 10,000 1 dialect per 10,000 €™s 38 author per 10,000 15 dialect per 10,000 fir 38 author per 10,000 29 dialect per 10,000 trip 38 author per 10,000 1 dialect per 10,000 wint 38 author per 10,000 4 dialect per 10,000 days 38 author per 10,000 3 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 0 dialect per 10,000 go 38 author per 10,000 2 dialect per 10,000 me 38 author per 10,000 41 dialect per 10,000 grand 38 author per 10,000 0 dialect per 10,000 thocht 38 author per 10,000 0 dialect per 10,000 gled 38 author per 10,000 0 dialect per 10,000 couple 38 author per 10,000 1 dialect per 10,000 tak 38 author per 10,000 12 dialect per 10,000 takin 38 author per 10,000 0 dialect per 10,000 better 19 author per 10,000 7 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 0 dialect per 10,000 think 19 author per 10,000 1 dialect per 10,000 see 19 author per 10,000 20 dialect per 10,000 tell 19 author per 10,000 8 dialect per 10,000 them 19 author per 10,000 1 dialect per 10,000 every 19 author per 10,000 5 dialect per 10,000 you 19 author per 10,000 51 dialect per 10,000 could 19 author per 10,000 12 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 6 dialect per 10,000 place 19 author per 10,000 7 dialect per 10,000 masel 19 author per 10,000 0 dialect per 10,000 death 19 author per 10,000 0 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 1 dialect per 10,000 afore 19 author per 10,000 15 dialect per 10,000 fit 19 author per 10,000 4 dialect per 10,000 aff 19 author per 10,000 18 dialect per 10,000 sound 19 author per 10,000 0 dialect per 10,000 safe 19 author per 10,000 1 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 22 dialect per 10,000 hoose 19 author per 10,000 8 dialect per 10,000 way 19 author per 10,000 0 dialect per 10,000 wye 19 author per 10,000 24 dialect per 10,000 iver 19 author per 10,000 1 dialect per 10,000 nicht 19 author per 10,000 3 dialect per 10,000 just 19 author per 10,000 10 dialect per 10,000 best 19 author per 10,000 6 dialect per 10,000 they 19 author per 10,000 2 dialect per 10,000 offer 19 author per 10,000 1 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 0 dialect per 10,000 fancy 19 author per 10,000 0 dialect per 10,000 coffee 19 author per 10,000 0 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 2 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 0 dialect per 10,000 shut 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 10 dialect per 10,000 awa 19 author per 10,000 13 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 4 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 19 dialect per 10,000 far 19 author per 10,000 5 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 14 dialect per 10,000 here 19 author per 10,000 11 dialect per 10,000 some 19 author per 10,000 13 dialect per 10,000 too 19 author per 10,000 3 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 1 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 0 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 79 dialect per 10,000 wait 19 author per 10,000 1 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 4 dialect per 10,000 bit 19 author per 10,000 38 dialect per 10,000 worth 19 author per 10,000 0 dialect per 10,000 finally 19 author per 10,000 1 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 1 dialect per 10,000 very 19 author per 10,000 7 dialect per 10,000 weel 19 author per 10,000 18 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 to 19 author per 10,000 8 dialect per 10,000 missed 19 author per 10,000 1 dialect per 10,000 wir 19 author per 10,000 50 dialect per 10,000 athing 19 author per 10,000 0 dialect per 10,000 runnin 19 author per 10,000 2 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 13 dialect per 10,000 ae 19 author per 10,000 1 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 0 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 0 dialect per 10,000 gan 19 author per 10,000 0 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 25 dialect per 10,000 gaun 19 author per 10,000 0 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 0 dialect per 10,000 worst 19 author per 10,000 0 dialect per 10,000 wintit 19 author per 10,000 0 dialect per 10,000 ther 19 author per 10,000 0 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 1 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 6 dialect per 10,000 across 19 author per 10,000 1 dialect per 10,000 city 19 author per 10,000 0 dialect per 10,000 dark 19 author per 10,000 3 dialect per 10,000 bath 19 author per 10,000 0 dialect per 10,000 huge 19 author per 10,000 0 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 0 dialect per 10,000 opened 19 author per 10,000 0 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 4 dialect per 10,000 foo 19 author per 10,000 11 dialect per 10,000 for 19 author per 10,000 35 dialect per 10,000 wide 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000 		Orkney
a 1061 author per 10,000 298 dialect per 10,000 the 492 author per 10,000 582 dialect per 10,000 tae 473 author per 10,000 223 dialect per 10,000 it 398 author per 10,000 23 dialect per 10,000 wis 379 author per 10,000 80 dialect per 10,000 ma 265 author per 10,000 1 dialect per 10,000 hid 227 author per 10,000 91 dialect per 10,000 and 170 author per 10,000 199 dialect per 10,000 o 133 author per 10,000 202 dialect per 10,000 in 133 author per 10,000 146 dialect per 10,000 there 133 author per 10,000 18 dialect per 10,000 an 133 author per 10,000 172 dialect per 10,000 got 114 author per 10,000 11 dialect per 10,000 hame 95 author per 10,000 1 dialect per 10,000 on 95 author per 10,000 73 dialect per 10,000 be 95 author per 10,000 42 dialect per 10,000 time 76 author per 10,000 18 dialect per 10,000 richt 76 author per 10,000 0 dialect per 10,000 get 76 author per 10,000 9 dialect per 10,000 aboot 76 author per 10,000 26 dialect per 10,000 ower 76 author per 10,000 18 dialect per 10,000 christmas 76 author per 10,000 2 dialect per 10,000 wi 76 author per 10,000 46 dialect per 10,000 oot 76 author per 10,000 50 dialect per 10,000 so 76 author per 10,000 30 dialect per 10,000 ane 76 author per 10,000 1 dialect per 10,000 hotel 76 author per 10,000 0 dialect per 10,000 than 57 author per 10,000 12 dialect per 10,000 late 57 author per 10,000 1 dialect per 10,000 bed 57 author per 10,000 7 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 34 dialect per 10,000 cos 57 author per 10,000 0 dialect per 10,000 lichts 57 author per 10,000 0 dialect per 10,000 holiday 57 author per 10,000 1 dialect per 10,000 ready 38 author per 10,000 2 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 3 dialect per 10,000 back 38 author per 10,000 26 dialect per 10,000 day 38 author per 10,000 20 dialect per 10,000 but 38 author per 10,000 28 dialect per 10,000 came 38 author per 10,000 1 dialect per 10,000 didna 38 author per 10,000 8 dialect per 10,000 next 38 author per 10,000 4 dialect per 10,000 start 38 author per 10,000 4 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 31 dialect per 10,000 shops 38 author per 10,000 1 dialect per 10,000 cauld 38 author per 10,000 0 dialect per 10,000 wid 38 author per 10,000 20 dialect per 10,000 bonny 38 author per 10,000 6 dialect per 10,000 fowk 38 author per 10,000 0 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 6 dialect per 10,000 i 38 author per 10,000 158 dialect per 10,000 say 38 author per 10,000 10 dialect per 10,000 nae 38 author per 10,000 3 dialect per 10,000 that 38 author per 10,000 75 dialect per 10,000 happy 38 author per 10,000 3 dialect per 10,000 €™s 38 author per 10,000 17 dialect per 10,000 fir 38 author per 10,000 5 dialect per 10,000 trip 38 author per 10,000 0 dialect per 10,000 wint 38 author per 10,000 0 dialect per 10,000 days 38 author per 10,000 5 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 1 dialect per 10,000 go 38 author per 10,000 10 dialect per 10,000 me 38 author per 10,000 115 dialect per 10,000 grand 38 author per 10,000 4 dialect per 10,000 thocht 38 author per 10,000 0 dialect per 10,000 gled 38 author per 10,000 0 dialect per 10,000 couple 38 author per 10,000 2 dialect per 10,000 tak 38 author per 10,000 12 dialect per 10,000 takin 38 author per 10,000 0 dialect per 10,000 better 19 author per 10,000 6 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 0 dialect per 10,000 think 19 author per 10,000 10 dialect per 10,000 see 19 author per 10,000 17 dialect per 10,000 tell 19 author per 10,000 6 dialect per 10,000 them 19 author per 10,000 18 dialect per 10,000 every 19 author per 10,000 4 dialect per 10,000 you 19 author per 10,000 35 dialect per 10,000 could 19 author per 10,000 13 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 0 dialect per 10,000 place 19 author per 10,000 4 dialect per 10,000 masel 19 author per 10,000 0 dialect per 10,000 death 19 author per 10,000 1 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 0 dialect per 10,000 afore 19 author per 10,000 12 dialect per 10,000 fit 19 author per 10,000 1 dialect per 10,000 aff 19 author per 10,000 8 dialect per 10,000 sound 19 author per 10,000 0 dialect per 10,000 safe 19 author per 10,000 1 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 28 dialect per 10,000 hoose 19 author per 10,000 11 dialect per 10,000 way 19 author per 10,000 1 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 iver 19 author per 10,000 0 dialect per 10,000 nicht 19 author per 10,000 0 dialect per 10,000 just 19 author per 10,000 2 dialect per 10,000 best 19 author per 10,000 6 dialect per 10,000 they 19 author per 10,000 37 dialect per 10,000 offer 19 author per 10,000 1 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 1 dialect per 10,000 fancy 19 author per 10,000 1 dialect per 10,000 coffee 19 author per 10,000 1 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 0 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 0 dialect per 10,000 shut 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 9 dialect per 10,000 awa 19 author per 10,000 1 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 5 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 11 dialect per 10,000 far 19 author per 10,000 4 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 15 dialect per 10,000 here 19 author per 10,000 12 dialect per 10,000 some 19 author per 10,000 17 dialect per 10,000 too 19 author per 10,000 9 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 4 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 0 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 48 dialect per 10,000 wait 19 author per 10,000 2 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 2 dialect per 10,000 bit 19 author per 10,000 48 dialect per 10,000 worth 19 author per 10,000 0 dialect per 10,000 finally 19 author per 10,000 1 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 1 dialect per 10,000 by 19 author per 10,000 16 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 18 dialect per 10,000 very 19 author per 10,000 7 dialect per 10,000 weel 19 author per 10,000 17 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 1 dialect per 10,000 to 19 author per 10,000 8 dialect per 10,000 missed 19 author per 10,000 1 dialect per 10,000 wir 19 author per 10,000 27 dialect per 10,000 athing 19 author per 10,000 0 dialect per 10,000 runnin 19 author per 10,000 0 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 10 dialect per 10,000 ae 19 author per 10,000 1 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 3 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 1 dialect per 10,000 gan 19 author per 10,000 2 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 15 dialect per 10,000 gaun 19 author per 10,000 0 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 0 dialect per 10,000 worst 19 author per 10,000 1 dialect per 10,000 wintit 19 author per 10,000 0 dialect per 10,000 ther 19 author per 10,000 0 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 2 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 0 dialect per 10,000 across 19 author per 10,000 4 dialect per 10,000 city 19 author per 10,000 0 dialect per 10,000 dark 19 author per 10,000 4 dialect per 10,000 bath 19 author per 10,000 1 dialect per 10,000 huge 19 author per 10,000 0 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 0 dialect per 10,000 opened 19 author per 10,000 0 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 3 dialect per 10,000 win 19 author per 10,000 1 dialect per 10,000 foo 19 author per 10,000 0 dialect per 10,000 for 19 author per 10,000 26 dialect per 10,000 wide 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000
Southern
a 1061 author per 10,000 230 dialect per 10,000 the 492 author per 10,000 449 dialect per 10,000 tae 473 author per 10,000 206 dialect per 10,000 it 398 author per 10,000 63 dialect per 10,000 wis 379 author per 10,000 54 dialect per 10,000 ma 265 author per 10,000 59 dialect per 10,000 hid 227 author per 10,000 0 dialect per 10,000 and 170 author per 10,000 33 dialect per 10,000 o 133 author per 10,000 200 dialect per 10,000 in 133 author per 10,000 107 dialect per 10,000 there 133 author per 10,000 16 dialect per 10,000 an 133 author per 10,000 289 dialect per 10,000 got 114 author per 10,000 10 dialect per 10,000 hame 95 author per 10,000 8 dialect per 10,000 on 95 author per 10,000 55 dialect per 10,000 be 95 author per 10,000 13 dialect per 10,000 time 76 author per 10,000 14 dialect per 10,000 richt 76 author per 10,000 18 dialect per 10,000 get 76 author per 10,000 10 dialect per 10,000 aboot 76 author per 10,000 29 dialect per 10,000 ower 76 author per 10,000 13 dialect per 10,000 christmas 76 author per 10,000 0 dialect per 10,000 wi 76 author per 10,000 66 dialect per 10,000 oot 76 author per 10,000 34 dialect per 10,000 so 76 author per 10,000 3 dialect per 10,000 ane 76 author per 10,000 8 dialect per 10,000 hotel 76 author per 10,000 0 dialect per 10,000 than 57 author per 10,000 8 dialect per 10,000 late 57 author per 10,000 3 dialect per 10,000 bed 57 author per 10,000 3 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 41 dialect per 10,000 cos 57 author per 10,000 2 dialect per 10,000 lichts 57 author per 10,000 0 dialect per 10,000 holiday 57 author per 10,000 0 dialect per 10,000 ready 38 author per 10,000 1 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 11 dialect per 10,000 back 38 author per 10,000 19 dialect per 10,000 day 38 author per 10,000 17 dialect per 10,000 but 38 author per 10,000 42 dialect per 10,000 came 38 author per 10,000 6 dialect per 10,000 didna 38 author per 10,000 2 dialect per 10,000 next 38 author per 10,000 5 dialect per 10,000 start 38 author per 10,000 0 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 8 dialect per 10,000 shops 38 author per 10,000 1 dialect per 10,000 cauld 38 author per 10,000 3 dialect per 10,000 wid 38 author per 10,000 1 dialect per 10,000 bonny 38 author per 10,000 0 dialect per 10,000 fowk 38 author per 10,000 4 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 15 dialect per 10,000 i 38 author per 10,000 74 dialect per 10,000 say 38 author per 10,000 17 dialect per 10,000 nae 38 author per 10,000 25 dialect per 10,000 that 38 author per 10,000 65 dialect per 10,000 happy 38 author per 10,000 0 dialect per 10,000 €™s 38 author per 10,000 34 dialect per 10,000 fir 38 author per 10,000 5 dialect per 10,000 trip 38 author per 10,000 0 dialect per 10,000 wint 38 author per 10,000 0 dialect per 10,000 days 38 author per 10,000 7 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 0 dialect per 10,000 go 38 author per 10,000 1 dialect per 10,000 me 38 author per 10,000 16 dialect per 10,000 grand 38 author per 10,000 2 dialect per 10,000 thocht 38 author per 10,000 13 dialect per 10,000 gled 38 author per 10,000 1 dialect per 10,000 couple 38 author per 10,000 1 dialect per 10,000 tak 38 author per 10,000 9 dialect per 10,000 takin 38 author per 10,000 1 dialect per 10,000 better 19 author per 10,000 4 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 0 dialect per 10,000 think 19 author per 10,000 7 dialect per 10,000 see 19 author per 10,000 5 dialect per 10,000 tell 19 author per 10,000 9 dialect per 10,000 them 19 author per 10,000 5 dialect per 10,000 every 19 author per 10,000 2 dialect per 10,000 you 19 author per 10,000 3 dialect per 10,000 could 19 author per 10,000 13 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 2 dialect per 10,000 place 19 author per 10,000 5 dialect per 10,000 masel 19 author per 10,000 5 dialect per 10,000 death 19 author per 10,000 1 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 2 dialect per 10,000 afore 19 author per 10,000 16 dialect per 10,000 fit 19 author per 10,000 5 dialect per 10,000 aff 19 author per 10,000 4 dialect per 10,000 sound 19 author per 10,000 0 dialect per 10,000 safe 19 author per 10,000 0 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 24 dialect per 10,000 hoose 19 author per 10,000 20 dialect per 10,000 way 19 author per 10,000 1 dialect per 10,000 wye 19 author per 10,000 0 dialect per 10,000 iver 19 author per 10,000 0 dialect per 10,000 nicht 19 author per 10,000 8 dialect per 10,000 just 19 author per 10,000 3 dialect per 10,000 best 19 author per 10,000 4 dialect per 10,000 they 19 author per 10,000 31 dialect per 10,000 offer 19 author per 10,000 0 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 1 dialect per 10,000 fancy 19 author per 10,000 1 dialect per 10,000 coffee 19 author per 10,000 0 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 4 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 0 dialect per 10,000 shut 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 8 dialect per 10,000 awa 19 author per 10,000 14 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 1 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 9 dialect per 10,000 far 19 author per 10,000 2 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 17 dialect per 10,000 here 19 author per 10,000 13 dialect per 10,000 some 19 author per 10,000 12 dialect per 10,000 too 19 author per 10,000 0 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 1 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 0 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 50 dialect per 10,000 wait 19 author per 10,000 0 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 2 dialect per 10,000 bit 19 author per 10,000 14 dialect per 10,000 worth 19 author per 10,000 0 dialect per 10,000 finally 19 author per 10,000 0 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 0 dialect per 10,000 by 19 author per 10,000 5 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 very 19 author per 10,000 0 dialect per 10,000 weel 19 author per 10,000 4 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 to 19 author per 10,000 1 dialect per 10,000 missed 19 author per 10,000 0 dialect per 10,000 wir 19 author per 10,000 1 dialect per 10,000 athing 19 author per 10,000 0 dialect per 10,000 runnin 19 author per 10,000 0 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 2 dialect per 10,000 ae 19 author per 10,000 67 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 2 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 0 dialect per 10,000 gan 19 author per 10,000 2 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 17 dialect per 10,000 gaun 19 author per 10,000 14 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 0 dialect per 10,000 worst 19 author per 10,000 0 dialect per 10,000 wintit 19 author per 10,000 0 dialect per 10,000 ther 19 author per 10,000 0 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 2 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 1 dialect per 10,000 across 19 author per 10,000 1 dialect per 10,000 city 19 author per 10,000 0 dialect per 10,000 dark 19 author per 10,000 2 dialect per 10,000 bath 19 author per 10,000 0 dialect per 10,000 huge 19 author per 10,000 1 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 1 dialect per 10,000 opened 19 author per 10,000 1 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 1 dialect per 10,000 foo 19 author per 10,000 0 dialect per 10,000 for 19 author per 10,000 22 dialect per 10,000 wide 19 author per 10,000 1 dialect per 10,000 wisnae 19 author per 10,000 3 dialect per 10,000 		Ulster
a 1061 author per 10,000 287 dialect per 10,000 the 492 author per 10,000 345 dialect per 10,000 tae 473 author per 10,000 253 dialect per 10,000 it 398 author per 10,000 73 dialect per 10,000 wis 379 author per 10,000 1 dialect per 10,000 ma 265 author per 10,000 23 dialect per 10,000 hid 227 author per 10,000 0 dialect per 10,000 and 170 author per 10,000 10 dialect per 10,000 o 133 author per 10,000 208 dialect per 10,000 in 133 author per 10,000 121 dialect per 10,000 there 133 author per 10,000 8 dialect per 10,000 an 133 author per 10,000 358 dialect per 10,000 got 114 author per 10,000 9 dialect per 10,000 hame 95 author per 10,000 10 dialect per 10,000 on 95 author per 10,000 57 dialect per 10,000 be 95 author per 10,000 39 dialect per 10,000 time 76 author per 10,000 13 dialect per 10,000 richt 76 author per 10,000 13 dialect per 10,000 get 76 author per 10,000 9 dialect per 10,000 aboot 76 author per 10,000 27 dialect per 10,000 ower 76 author per 10,000 18 dialect per 10,000 christmas 76 author per 10,000 0 dialect per 10,000 wi 76 author per 10,000 63 dialect per 10,000 oot 76 author per 10,000 49 dialect per 10,000 so 76 author per 10,000 5 dialect per 10,000 ane 76 author per 10,000 0 dialect per 10,000 hotel 76 author per 10,000 0 dialect per 10,000 than 57 author per 10,000 3 dialect per 10,000 late 57 author per 10,000 1 dialect per 10,000 bed 57 author per 10,000 2 dialect per 10,000 shopping 57 author per 10,000 0 dialect per 10,000 up 57 author per 10,000 32 dialect per 10,000 cos 57 author per 10,000 0 dialect per 10,000 lichts 57 author per 10,000 1 dialect per 10,000 holiday 57 author per 10,000 0 dialect per 10,000 ready 38 author per 10,000 1 dialect per 10,000 di 38 author per 10,000 0 dialect per 10,000 heided 38 author per 10,000 0 dialect per 10,000 jist 38 author per 10,000 8 dialect per 10,000 back 38 author per 10,000 2 dialect per 10,000 day 38 author per 10,000 15 dialect per 10,000 but 38 author per 10,000 41 dialect per 10,000 came 38 author per 10,000 2 dialect per 10,000 didna 38 author per 10,000 0 dialect per 10,000 next 38 author per 10,000 0 dialect per 10,000 start 38 author per 10,000 1 dialect per 10,000 funnert 38 author per 10,000 0 dialect per 10,000 like 38 author per 10,000 9 dialect per 10,000 shops 38 author per 10,000 0 dialect per 10,000 cauld 38 author per 10,000 0 dialect per 10,000 wid 38 author per 10,000 1 dialect per 10,000 bonny 38 author per 10,000 0 dialect per 10,000 fowk 38 author per 10,000 21 dialect per 10,000 aready 38 author per 10,000 0 dialect per 10,000 were 38 author per 10,000 4 dialect per 10,000 i 38 author per 10,000 16 dialect per 10,000 say 38 author per 10,000 10 dialect per 10,000 nae 38 author per 10,000 22 dialect per 10,000 that 38 author per 10,000 71 dialect per 10,000 happy 38 author per 10,000 2 dialect per 10,000 €™s 38 author per 10,000 11 dialect per 10,000 fir 38 author per 10,000 2 dialect per 10,000 trip 38 author per 10,000 0 dialect per 10,000 wint 38 author per 10,000 0 dialect per 10,000 days 38 author per 10,000 5 dialect per 10,000 canterbury 38 author per 10,000 0 dialect per 10,000 gardens 38 author per 10,000 0 dialect per 10,000 train 38 author per 10,000 0 dialect per 10,000 go 38 author per 10,000 5 dialect per 10,000 me 38 author per 10,000 24 dialect per 10,000 grand 38 author per 10,000 0 dialect per 10,000 thocht 38 author per 10,000 11 dialect per 10,000 gled 38 author per 10,000 3 dialect per 10,000 couple 38 author per 10,000 0 dialect per 10,000 tak 38 author per 10,000 13 dialect per 10,000 takin 38 author per 10,000 1 dialect per 10,000 better 19 author per 10,000 2 dialect per 10,000 decked 19 author per 10,000 0 dialect per 10,000 decoration 19 author per 10,000 0 dialect per 10,000 freens 19 author per 10,000 2 dialect per 10,000 think 19 author per 10,000 7 dialect per 10,000 see 19 author per 10,000 16 dialect per 10,000 tell 19 author per 10,000 10 dialect per 10,000 them 19 author per 10,000 8 dialect per 10,000 every 19 author per 10,000 0 dialect per 10,000 you 19 author per 10,000 5 dialect per 10,000 could 19 author per 10,000 1 dialect per 10,000 decorations 19 author per 10,000 0 dialect per 10,000 fan 19 author per 10,000 1 dialect per 10,000 place 19 author per 10,000 7 dialect per 10,000 masel 19 author per 10,000 1 dialect per 10,000 death 19 author per 10,000 0 dialect per 10,000 froze 19 author per 10,000 0 dialect per 10,000 quick 19 author per 10,000 1 dialect per 10,000 afore 19 author per 10,000 12 dialect per 10,000 fit 19 author per 10,000 4 dialect per 10,000 aff 19 author per 10,000 14 dialect per 10,000 sound 19 author per 10,000 1 dialect per 10,000 safe 19 author per 10,000 1 dialect per 10,000 buzzin 19 author per 10,000 0 dialect per 10,000 tinsel 19 author per 10,000 0 dialect per 10,000 doon 19 author per 10,000 28 dialect per 10,000 hoose 19 author per 10,000 14 dialect per 10,000 way 19 author per 10,000 2 dialect per 10,000 wye 19 author per 10,000 13 dialect per 10,000 iver 19 author per 10,000 5 dialect per 10,000 nicht 19 author per 10,000 7 dialect per 10,000 just 19 author per 10,000 1 dialect per 10,000 best 19 author per 10,000 3 dialect per 10,000 they 19 author per 10,000 26 dialect per 10,000 offer 19 author per 10,000 1 dialect per 10,000 suitcase 19 author per 10,000 0 dialect per 10,000 pieces 19 author per 10,000 0 dialect per 10,000 fancy 19 author per 10,000 0 dialect per 10,000 coffee 19 author per 10,000 0 dialect per 10,000 poppin 19 author per 10,000 0 dialect per 10,000 sicht 19 author per 10,000 3 dialect per 10,000 trying 19 author per 10,000 0 dialect per 10,000 spent 19 author per 10,000 1 dialect per 10,000 mare 19 author per 10,000 0 dialect per 10,000 shut 19 author per 10,000 1 dialect per 10,000 mind 19 author per 10,000 2 dialect per 10,000 awa 19 author per 10,000 17 dialect per 10,000 seeing 19 author per 10,000 0 dialect per 10,000 couldna 19 author per 10,000 0 dialect per 10,000 gi 19 author per 10,000 0 dialect per 10,000 come 19 author per 10,000 10 dialect per 10,000 far 19 author per 10,000 5 dialect per 10,000 baubles 19 author per 10,000 0 dialect per 10,000 ken 19 author per 10,000 3 dialect per 10,000 here 19 author per 10,000 10 dialect per 10,000 some 19 author per 10,000 7 dialect per 10,000 too 19 author per 10,000 1 dialect per 10,000 carried 19 author per 10,000 0 dialect per 10,000 warm 19 author per 10,000 0 dialect per 10,000 jaiket 19 author per 10,000 0 dialect per 10,000 canny 19 author per 10,000 1 dialect per 10,000 beter 19 author per 10,000 0 dialect per 10,000 as 19 author per 10,000 31 dialect per 10,000 wait 19 author per 10,000 1 dialect per 10,000 shown 19 author per 10,000 0 dialect per 10,000 times 19 author per 10,000 3 dialect per 10,000 bit 19 author per 10,000 10 dialect per 10,000 worth 19 author per 10,000 1 dialect per 10,000 finally 19 author per 10,000 0 dialect per 10,000 flights 19 author per 10,000 0 dialect per 10,000 changed 19 author per 10,000 1 dialect per 10,000 by 19 author per 10,000 7 dialect per 10,000 airport 19 author per 10,000 0 dialect per 10,000 then 19 author per 10,000 17 dialect per 10,000 very 19 author per 10,000 1 dialect per 10,000 weel 19 author per 10,000 13 dialect per 10,000 connection 19 author per 10,000 0 dialect per 10,000 eventually 19 author per 10,000 0 dialect per 10,000 to 19 author per 10,000 3 dialect per 10,000 missed 19 author per 10,000 0 dialect per 10,000 wir 19 author per 10,000 1 dialect per 10,000 athing 19 author per 10,000 0 dialect per 10,000 runnin 19 author per 10,000 0 dialect per 10,000 planes 19 author per 10,000 0 dialect per 10,000 twa 19 author per 10,000 11 dialect per 10,000 ae 19 author per 10,000 0 dialect per 10,000 design 19 author per 10,000 0 dialect per 10,000 online 19 author per 10,000 0 dialect per 10,000 find 19 author per 10,000 1 dialect per 10,000 robeson 19 author per 10,000 0 dialect per 10,000 visit 19 author per 10,000 0 dialect per 10,000 gan 19 author per 10,000 6 dialect per 10,000 san 19 author per 10,000 0 dialect per 10,000 diego 19 author per 10,000 0 dialect per 10,000 november 19 author per 10,000 0 dialect per 10,000 if 19 author per 10,000 14 dialect per 10,000 gaun 19 author per 10,000 3 dialect per 10,000 journey 19 author per 10,000 0 dialect per 10,000 gaunt 19 author per 10,000 0 dialect per 10,000 part 19 author per 10,000 0 dialect per 10,000 worst 19 author per 10,000 0 dialect per 10,000 wintit 19 author per 10,000 0 dialect per 10,000 ther 19 author per 10,000 0 dialect per 10,000 merkets 19 author per 10,000 0 dialect per 10,000 ten 19 author per 10,000 2 dialect per 10,000 hoors 19 author per 10,000 0 dialect per 10,000 lookit 19 author per 10,000 0 dialect per 10,000 across 19 author per 10,000 1 dialect per 10,000 city 19 author per 10,000 0 dialect per 10,000 dark 19 author per 10,000 1 dialect per 10,000 bath 19 author per 10,000 0 dialect per 10,000 huge 19 author per 10,000 0 dialect per 10,000 massive 19 author per 10,000 0 dialect per 10,000 comfy 19 author per 10,000 0 dialect per 10,000 bathroom 19 author per 10,000 0 dialect per 10,000 windae 19 author per 10,000 1 dialect per 10,000 opened 19 author per 10,000 0 dialect per 10,000 tenth 19 author per 10,000 0 dialect per 10,000 floor 19 author per 10,000 0 dialect per 10,000 win 19 author per 10,000 0 dialect per 10,000 foo 19 author per 10,000 0 dialect per 10,000 for 19 author per 10,000 30 dialect per 10,000 wide 19 author per 10,000 0 dialect per 10,000 wisnae 19 author per 10,000 0 dialect per 10,000