A Corpus of 21st Century Scots Texts

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De Luca, Christine

Punctuation analysis - Fine grain dialect analysis - Basic author info
Total words by this author in corpus - 1,889
Total unique words used by this author in corpus - 800
Ratio of total words to unique words - 2.361
Top ten most common words - da, a, o, an, hit, he, ta, wis, , wi,

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
da 603 author per 10,000 4 dialect per 10,000 a 413 author per 10,000 261 dialect per 10,000 o 307 author per 10,000 191 dialect per 10,000 an 259 author per 10,000 219 dialect per 10,000 hit 238 author per 10,000 1 dialect per 10,000 he 217 author per 10,000 89 dialect per 10,000 ta 127 author per 10,000 0 dialect per 10,000 wis 122 author per 10,000 101 dialect per 10,000 116 author per 10,000 42 dialect per 10,000 wi 106 author per 10,000 62 dialect per 10,000 in 106 author per 10,000 150 dialect per 10,000 dey 101 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 47 dialect per 10,000 s 79 author per 10,000 41 dialect per 10,000 dodie 74 author per 10,000 0 dialect per 10,000 tae 74 author per 10,000 220 dialect per 10,000 i 69 author per 10,000 35 dialect per 10,000 said 69 author per 10,000 39 dialect per 10,000 at 69 author per 10,000 56 dialect per 10,000 aa 64 author per 10,000 9 dialect per 10,000 is 64 author per 10,000 62 dialect per 10,000 wid 58 author per 10,000 8 dialect per 10,000 wir 58 author per 10,000 3 dialect per 10,000 pan 58 author per 10,000 0 dialect per 10,000 shö 53 author per 10,000 0 dialect per 10,000 oot 53 author per 10,000 40 dialect per 10,000 his 53 author per 10,000 52 dialect per 10,000 bottle 48 author per 10,000 1 dialect per 10,000 dem 48 author per 10,000 0 dialect per 10,000 du 42 author per 10,000 0 dialect per 10,000 gud 42 author per 10,000 0 dialect per 10,000 inta 42 author per 10,000 0 dialect per 10,000 on 42 author per 10,000 56 dialect per 10,000 granny 42 author per 10,000 1 dialect per 10,000 her 42 author per 10,000 48 dialect per 10,000 dat 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 30 dialect per 10,000 apö 42 author per 10,000 0 dialect per 10,000 dis 37 author per 10,000 1 dialect per 10,000 muckle 37 author per 10,000 10 dialect per 10,000 up 37 author per 10,000 40 dialect per 10,000 nor 37 author per 10,000 6 dialect per 10,000 as 32 author per 10,000 60 dialect per 10,000 32 author per 10,000 5 dialect per 10,000 caa 32 author per 10,000 0 dialect per 10,000 pooder 32 author per 10,000 0 dialect per 10,000 ll 32 author per 10,000 5 dialect per 10,000 but 32 author per 10,000 46 dialect per 10,000 aald 32 author per 10,000 0 dialect per 10,000 ed 32 author per 10,000 0 dialect per 10,000 or 32 author per 10,000 29 dialect per 10,000 hale 32 author per 10,000 2 dialect per 10,000 der 32 author per 10,000 0 dialect per 10,000 tinny 32 author per 10,000 0 dialect per 10,000 we'd 32 author per 10,000 1 dialect per 10,000 d 26 author per 10,000 8 dialect per 10,000 wirds 26 author per 10,000 2 dialect per 10,000 wan 26 author per 10,000 9 dialect per 10,000 peerie 26 author per 10,000 0 dialect per 10,000 fan 26 author per 10,000 1 dialect per 10,000 hed 26 author per 10,000 2 dialect per 10,000 box 26 author per 10,000 1 dialect per 10,000 fur 26 author per 10,000 21 dialect per 10,000 day 26 author per 10,000 13 dialect per 10,000 back 26 author per 10,000 21 dialect per 10,000 bairns 26 author per 10,000 5 dialect per 10,000 can 21 author per 10,000 15 dialect per 10,000 weel 21 author per 10,000 8 dialect per 10,000 noo 21 author per 10,000 13 dialect per 10,000 trowe 21 author per 10,000 0 dialect per 10,000 broon 21 author per 10,000 2 dialect per 10,000 aboot 21 author per 10,000 30 dialect per 10,000 could 21 author per 10,000 9 dialect per 10,000 we 21 author per 10,000 34 dialect per 10,000 awa 21 author per 10,000 9 dialect per 10,000 lik 21 author per 10,000 5 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 een 21 author per 10,000 4 dialect per 10,000 stuff 21 author per 10,000 2 dialect per 10,000 be 21 author per 10,000 51 dialect per 10,000 whan 21 author per 10,000 12 dialect per 10,000 neist 16 author per 10,000 2 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 10 dialect per 10,000 anidder 16 author per 10,000 0 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 2 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 19 dialect per 10,000 dan 16 author per 10,000 0 dialect per 10,000 voe 16 author per 10,000 0 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 0 dialect per 10,000 hadd 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 naethin 16 author per 10,000 2 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 16 dialect per 10,000 alang 16 author per 10,000 4 dialect per 10,000 took 16 author per 10,000 3 dialect per 10,000 foo 16 author per 10,000 1 dialect per 10,000 hair 16 author per 10,000 3 dialect per 10,000 owre 16 author per 10,000 1 dialect per 10,000 far 16 author per 10,000 2 dialect per 10,000 no 16 author per 10,000 34 dialect per 10,000 kent 16 author per 10,000 5 dialect per 10,000 here 16 author per 10,000 12 dialect per 10,000 cam 16 author per 10,000 8 dialect per 10,000 some 16 author per 10,000 14 dialect per 10,000 every 16 author per 10,000 3 dialect per 10,000 teeth 16 author per 10,000 1 dialect per 10,000 roond 11 author per 10,000 4 dialect per 10,000 bi 11 author per 10,000 11 dialect per 10,000 haand 11 author per 10,000 0 dialect per 10,000 yet 11 author per 10,000 3 dialect per 10,000 shaa 11 author per 10,000 0 dialect per 10,000 dy 11 author per 10,000 0 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 6 dialect per 10,000 hame 11 author per 10,000 5 dialect per 10,000 birds 11 author per 10,000 0 dialect per 10,000 wind 11 author per 10,000 1 dialect per 10,000 boats 11 author per 10,000 0 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 3 dialect per 10,000 bedroom 11 author per 10,000 1 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 0 dialect per 10,000 whit 11 author per 10,000 27 dialect per 10,000 sam 11 author per 10,000 0 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 2 dialect per 10,000 him 11 author per 10,000 29 dialect per 10,000 perfect 11 author per 10,000 1 dialect per 10,000 watch 11 author per 10,000 2 dialect per 10,000 makkin 11 author per 10,000 2 dialect per 10,000 whin 11 author per 10,000 1 dialect per 10,000 my 11 author per 10,000 6 dialect per 10,000 egg 11 author per 10,000 0 dialect per 10,000 laand 11 author per 10,000 0 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 0 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 5 dialect per 10,000 mak 11 author per 10,000 8 dialect per 10,000 hae 11 author per 10,000 22 dialect per 10,000 sun 11 author per 10,000 2 dialect per 10,000 line 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 7 dialect per 10,000 maet 11 author per 10,000 0 dialect per 10,000 tidder 11 author per 10,000 0 dialect per 10,000 dug 11 author per 10,000 2 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 0 dialect per 10,000 markit 11 author per 10,000 0 dialect per 10,000 time 11 author per 10,000 18 dialect per 10,000 half 11 author per 10,000 1 dialect per 10,000 whaar 11 author per 10,000 0 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 7 dialect per 10,000 twa 11 author per 10,000 9 dialect per 10,000 haerts 11 author per 10,000 0 dialect per 10,000 sae 11 author per 10,000 14 dialect per 10,000 wrocht 11 author per 10,000 0 dialect per 10,000 broo 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 0 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 17 dialect per 10,000 winna 11 author per 10,000 1 dialect per 10,000 gaer 11 author per 10,000 0 dialect per 10,000 nedder 11 author per 10,000 0 dialect per 10,000 gin 11 author per 10,000 7 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 1 dialect per 10,000 bathroom 11 author per 10,000 0 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 1 dialect per 10,000 turned 11 author per 10,000 1 dialect per 10,000 athin 11 author per 10,000 1 dialect per 10,000 medicine 11 author per 10,000 1 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 5 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 0 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 0 dialect per 10,000 lang 11 author per 10,000 9 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 0 dialect per 10,000 left 11 author per 10,000 5 dialect per 10,000 clean 11 author per 10,000 1 dialect per 10,000 fingers 11 author per 10,000 1 dialect per 10,000
Doric
da 603 author per 10,000 4 dialect per 10,000 a 413 author per 10,000 285 dialect per 10,000 o 307 author per 10,000 200 dialect per 10,000 an 259 author per 10,000 315 dialect per 10,000 hit 238 author per 10,000 1 dialect per 10,000 he 217 author per 10,000 103 dialect per 10,000 ta 127 author per 10,000 0 dialect per 10,000 wis 122 author per 10,000 115 dialect per 10,000 116 author per 10,000 33 dialect per 10,000 wi 106 author per 10,000 88 dialect per 10,000 in 106 author per 10,000 136 dialect per 10,000 dey 101 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 40 dialect per 10,000 s 79 author per 10,000 30 dialect per 10,000 dodie 74 author per 10,000 0 dialect per 10,000 tae 74 author per 10,000 178 dialect per 10,000 i 69 author per 10,000 54 dialect per 10,000 said 69 author per 10,000 34 dialect per 10,000 at 69 author per 10,000 57 dialect per 10,000 aa 64 author per 10,000 39 dialect per 10,000 is 64 author per 10,000 41 dialect per 10,000 wid 58 author per 10,000 18 dialect per 10,000 wir 58 author per 10,000 4 dialect per 10,000 pan 58 author per 10,000 0 dialect per 10,000 shö 53 author per 10,000 0 dialect per 10,000 oot 53 author per 10,000 53 dialect per 10,000 his 53 author per 10,000 79 dialect per 10,000 bottle 48 author per 10,000 1 dialect per 10,000 dem 48 author per 10,000 0 dialect per 10,000 du 42 author per 10,000 0 dialect per 10,000 gud 42 author per 10,000 0 dialect per 10,000 inta 42 author per 10,000 0 dialect per 10,000 on 42 author per 10,000 65 dialect per 10,000 granny 42 author per 10,000 2 dialect per 10,000 her 42 author per 10,000 75 dialect per 10,000 dat 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 29 dialect per 10,000 apö 42 author per 10,000 0 dialect per 10,000 dis 37 author per 10,000 9 dialect per 10,000 muckle 37 author per 10,000 9 dialect per 10,000 up 37 author per 10,000 48 dialect per 10,000 nor 37 author per 10,000 5 dialect per 10,000 as 32 author per 10,000 57 dialect per 10,000 32 author per 10,000 9 dialect per 10,000 caa 32 author per 10,000 1 dialect per 10,000 pooder 32 author per 10,000 0 dialect per 10,000 ll 32 author per 10,000 4 dialect per 10,000 but 32 author per 10,000 15 dialect per 10,000 aald 32 author per 10,000 0 dialect per 10,000 ed 32 author per 10,000 0 dialect per 10,000 or 32 author per 10,000 23 dialect per 10,000 hale 32 author per 10,000 7 dialect per 10,000 der 32 author per 10,000 0 dialect per 10,000 tinny 32 author per 10,000 0 dialect per 10,000 we'd 32 author per 10,000 0 dialect per 10,000 d 26 author per 10,000 15 dialect per 10,000 wirds 26 author per 10,000 2 dialect per 10,000 wan 26 author per 10,000 2 dialect per 10,000 peerie 26 author per 10,000 0 dialect per 10,000 fan 26 author per 10,000 13 dialect per 10,000 hed 26 author per 10,000 0 dialect per 10,000 box 26 author per 10,000 1 dialect per 10,000 fur 26 author per 10,000 21 dialect per 10,000 day 26 author per 10,000 34 dialect per 10,000 back 26 author per 10,000 23 dialect per 10,000 bairns 26 author per 10,000 5 dialect per 10,000 can 21 author per 10,000 12 dialect per 10,000 weel 21 author per 10,000 15 dialect per 10,000 noo 21 author per 10,000 20 dialect per 10,000 trowe 21 author per 10,000 0 dialect per 10,000 broon 21 author per 10,000 3 dialect per 10,000 aboot 21 author per 10,000 35 dialect per 10,000 could 21 author per 10,000 7 dialect per 10,000 we 21 author per 10,000 21 dialect per 10,000 awa 21 author per 10,000 22 dialect per 10,000 lik 21 author per 10,000 2 dialect per 10,000 wye 21 author per 10,000 13 dialect per 10,000 een 21 author per 10,000 18 dialect per 10,000 stuff 21 author per 10,000 2 dialect per 10,000 be 21 author per 10,000 44 dialect per 10,000 whan 21 author per 10,000 0 dialect per 10,000 neist 16 author per 10,000 3 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 6 dialect per 10,000 anidder 16 author per 10,000 0 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 0 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 3 dialect per 10,000 mair 16 author per 10,000 19 dialect per 10,000 dan 16 author per 10,000 0 dialect per 10,000 voe 16 author per 10,000 0 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 0 dialect per 10,000 hadd 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 17 dialect per 10,000 naethin 16 author per 10,000 4 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 21 dialect per 10,000 alang 16 author per 10,000 2 dialect per 10,000 took 16 author per 10,000 3 dialect per 10,000 foo 16 author per 10,000 9 dialect per 10,000 hair 16 author per 10,000 3 dialect per 10,000 owre 16 author per 10,000 1 dialect per 10,000 far 16 author per 10,000 14 dialect per 10,000 no 16 author per 10,000 5 dialect per 10,000 kent 16 author per 10,000 9 dialect per 10,000 here 16 author per 10,000 9 dialect per 10,000 cam 16 author per 10,000 12 dialect per 10,000 some 16 author per 10,000 13 dialect per 10,000 every 16 author per 10,000 1 dialect per 10,000 teeth 16 author per 10,000 2 dialect per 10,000 roond 11 author per 10,000 0 dialect per 10,000 bi 11 author per 10,000 19 dialect per 10,000 haand 11 author per 10,000 0 dialect per 10,000 yet 11 author per 10,000 2 dialect per 10,000 shaa 11 author per 10,000 0 dialect per 10,000 dy 11 author per 10,000 0 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 6 dialect per 10,000 hame 11 author per 10,000 11 dialect per 10,000 birds 11 author per 10,000 1 dialect per 10,000 wind 11 author per 10,000 1 dialect per 10,000 boats 11 author per 10,000 0 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 3 dialect per 10,000 bedroom 11 author per 10,000 1 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 0 dialect per 10,000 whit 11 author per 10,000 3 dialect per 10,000 sam 11 author per 10,000 0 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 0 dialect per 10,000 him 11 author per 10,000 38 dialect per 10,000 perfect 11 author per 10,000 0 dialect per 10,000 watch 11 author per 10,000 1 dialect per 10,000 makkin 11 author per 10,000 3 dialect per 10,000 whin 11 author per 10,000 0 dialect per 10,000 my 11 author per 10,000 11 dialect per 10,000 egg 11 author per 10,000 0 dialect per 10,000 laand 11 author per 10,000 0 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 0 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 12 dialect per 10,000 mak 11 author per 10,000 8 dialect per 10,000 hae 11 author per 10,000 18 dialect per 10,000 sun 11 author per 10,000 2 dialect per 10,000 line 11 author per 10,000 1 dialect per 10,000 gie 11 author per 10,000 8 dialect per 10,000 maet 11 author per 10,000 1 dialect per 10,000 tidder 11 author per 10,000 0 dialect per 10,000 dug 11 author per 10,000 1 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 0 dialect per 10,000 markit 11 author per 10,000 0 dialect per 10,000 time 11 author per 10,000 20 dialect per 10,000 half 11 author per 10,000 2 dialect per 10,000 whaar 11 author per 10,000 0 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 6 dialect per 10,000 twa 11 author per 10,000 20 dialect per 10,000 haerts 11 author per 10,000 0 dialect per 10,000 sae 11 author per 10,000 16 dialect per 10,000 wrocht 11 author per 10,000 0 dialect per 10,000 broo 11 author per 10,000 2 dialect per 10,000 i 11 author per 10,000 1 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 33 dialect per 10,000 winna 11 author per 10,000 4 dialect per 10,000 gaer 11 author per 10,000 0 dialect per 10,000 nedder 11 author per 10,000 0 dialect per 10,000 gin 11 author per 10,000 6 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 3 dialect per 10,000 bathroom 11 author per 10,000 0 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 athin 11 author per 10,000 0 dialect per 10,000 medicine 11 author per 10,000 0 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 3 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 0 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 0 dialect per 10,000 lang 11 author per 10,000 12 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 0 dialect per 10,000 left 11 author per 10,000 6 dialect per 10,000 clean 11 author per 10,000 3 dialect per 10,000 fingers 11 author per 10,000 1 dialect per 10,000
Shetland
da 603 author per 10,000 559 dialect per 10,000 a 413 author per 10,000 235 dialect per 10,000 o 307 author per 10,000 187 dialect per 10,000 an 259 author per 10,000 349 dialect per 10,000 hit 238 author per 10,000 54 dialect per 10,000 he 217 author per 10,000 122 dialect per 10,000 ta 127 author per 10,000 200 dialect per 10,000 wis 122 author per 10,000 178 dialect per 10,000 116 author per 10,000 28 dialect per 10,000 wi 106 author per 10,000 92 dialect per 10,000 in 106 author per 10,000 93 dialect per 10,000 dey 101 author per 10,000 74 dialect per 10,000 for 85 author per 10,000 48 dialect per 10,000 s 79 author per 10,000 17 dialect per 10,000 dodie 74 author per 10,000 2 dialect per 10,000 tae 74 author per 10,000 60 dialect per 10,000 i 69 author per 10,000 133 dialect per 10,000 said 69 author per 10,000 94 dialect per 10,000 at 69 author per 10,000 119 dialect per 10,000 aa 64 author per 10,000 57 dialect per 10,000 is 64 author per 10,000 62 dialect per 10,000 wid 58 author per 10,000 43 dialect per 10,000 wir 58 author per 10,000 38 dialect per 10,000 pan 58 author per 10,000 2 dialect per 10,000 shö 53 author per 10,000 89 dialect per 10,000 oot 53 author per 10,000 47 dialect per 10,000 his 53 author per 10,000 61 dialect per 10,000 bottle 48 author per 10,000 3 dialect per 10,000 dem 48 author per 10,000 52 dialect per 10,000 du 42 author per 10,000 54 dialect per 10,000 gud 42 author per 10,000 1 dialect per 10,000 inta 42 author per 10,000 8 dialect per 10,000 on 42 author per 10,000 52 dialect per 10,000 granny 42 author per 10,000 2 dialect per 10,000 her 42 author per 10,000 55 dialect per 10,000 dat 42 author per 10,000 109 dialect per 10,000 fae 42 author per 10,000 32 dialect per 10,000 apö 42 author per 10,000 1 dialect per 10,000 dis 37 author per 10,000 55 dialect per 10,000 muckle 37 author per 10,000 16 dialect per 10,000 up 37 author per 10,000 42 dialect per 10,000 nor 37 author per 10,000 3 dialect per 10,000 as 32 author per 10,000 78 dialect per 10,000 32 author per 10,000 3 dialect per 10,000 caa 32 author per 10,000 3 dialect per 10,000 pooder 32 author per 10,000 1 dialect per 10,000 ll 32 author per 10,000 5 dialect per 10,000 but 32 author per 10,000 36 dialect per 10,000 aald 32 author per 10,000 5 dialect per 10,000 ed 32 author per 10,000 1 dialect per 10,000 or 32 author per 10,000 28 dialect per 10,000 hale 32 author per 10,000 4 dialect per 10,000 der 32 author per 10,000 21 dialect per 10,000 tinny 32 author per 10,000 1 dialect per 10,000 we'd 32 author per 10,000 1 dialect per 10,000 d 26 author per 10,000 2 dialect per 10,000 wirds 26 author per 10,000 10 dialect per 10,000 wan 26 author per 10,000 18 dialect per 10,000 peerie 26 author per 10,000 31 dialect per 10,000 fan 26 author per 10,000 7 dialect per 10,000 hed 26 author per 10,000 24 dialect per 10,000 box 26 author per 10,000 2 dialect per 10,000 fur 26 author per 10,000 10 dialect per 10,000 day 26 author per 10,000 22 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 bairns 26 author per 10,000 8 dialect per 10,000 can 21 author per 10,000 16 dialect per 10,000 weel 21 author per 10,000 19 dialect per 10,000 noo 21 author per 10,000 19 dialect per 10,000 trowe 21 author per 10,000 2 dialect per 10,000 broon 21 author per 10,000 1 dialect per 10,000 aboot 21 author per 10,000 43 dialect per 10,000 could 21 author per 10,000 16 dialect per 10,000 we 21 author per 10,000 38 dialect per 10,000 awa 21 author per 10,000 15 dialect per 10,000 lik 21 author per 10,000 13 dialect per 10,000 wye 21 author per 10,000 25 dialect per 10,000 een 21 author per 10,000 20 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 be 21 author per 10,000 60 dialect per 10,000 whan 21 author per 10,000 11 dialect per 10,000 neist 16 author per 10,000 0 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 23 dialect per 10,000 anidder 16 author per 10,000 8 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 6 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 1 dialect per 10,000 mair 16 author per 10,000 18 dialect per 10,000 dan 16 author per 10,000 33 dialect per 10,000 voe 16 author per 10,000 1 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 20 dialect per 10,000 hadd 16 author per 10,000 5 dialect per 10,000 if 16 author per 10,000 30 dialect per 10,000 naethin 16 author per 10,000 10 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 22 dialect per 10,000 alang 16 author per 10,000 5 dialect per 10,000 took 16 author per 10,000 11 dialect per 10,000 foo 16 author per 10,000 12 dialect per 10,000 hair 16 author per 10,000 3 dialect per 10,000 owre 16 author per 10,000 0 dialect per 10,000 far 16 author per 10,000 6 dialect per 10,000 no 16 author per 10,000 37 dialect per 10,000 kent 16 author per 10,000 10 dialect per 10,000 here 16 author per 10,000 11 dialect per 10,000 cam 16 author per 10,000 23 dialect per 10,000 some 16 author per 10,000 14 dialect per 10,000 every 16 author per 10,000 6 dialect per 10,000 teeth 16 author per 10,000 1 dialect per 10,000 roond 11 author per 10,000 2 dialect per 10,000 bi 11 author per 10,000 6 dialect per 10,000 haand 11 author per 10,000 9 dialect per 10,000 yet 11 author per 10,000 2 dialect per 10,000 shaa 11 author per 10,000 3 dialect per 10,000 dy 11 author per 10,000 12 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 10 dialect per 10,000 hame 11 author per 10,000 7 dialect per 10,000 birds 11 author per 10,000 2 dialect per 10,000 wind 11 author per 10,000 4 dialect per 10,000 boats 11 author per 10,000 1 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 7 dialect per 10,000 bedroom 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 11 dialect per 10,000 whit 11 author per 10,000 56 dialect per 10,000 sam 11 author per 10,000 15 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 9 dialect per 10,000 him 11 author per 10,000 57 dialect per 10,000 perfect 11 author per 10,000 2 dialect per 10,000 watch 11 author per 10,000 3 dialect per 10,000 makkin 11 author per 10,000 4 dialect per 10,000 whin 11 author per 10,000 18 dialect per 10,000 my 11 author per 10,000 20 dialect per 10,000 egg 11 author per 10,000 0 dialect per 10,000 laand 11 author per 10,000 4 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 30 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 3 dialect per 10,000 mak 11 author per 10,000 14 dialect per 10,000 hae 11 author per 10,000 25 dialect per 10,000 sun 11 author per 10,000 3 dialect per 10,000 line 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 12 dialect per 10,000 maet 11 author per 10,000 5 dialect per 10,000 tidder 11 author per 10,000 2 dialect per 10,000 dug 11 author per 10,000 1 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 2 dialect per 10,000 markit 11 author per 10,000 1 dialect per 10,000 time 11 author per 10,000 21 dialect per 10,000 half 11 author per 10,000 3 dialect per 10,000 whaar 11 author per 10,000 11 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 7 dialect per 10,000 twa 11 author per 10,000 11 dialect per 10,000 haerts 11 author per 10,000 2 dialect per 10,000 sae 11 author per 10,000 9 dialect per 10,000 wrocht 11 author per 10,000 2 dialect per 10,000 broo 11 author per 10,000 2 dialect per 10,000 i 11 author per 10,000 1 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 28 dialect per 10,000 winna 11 author per 10,000 2 dialect per 10,000 gaer 11 author per 10,000 1 dialect per 10,000 nedder 11 author per 10,000 1 dialect per 10,000 gin 11 author per 10,000 0 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 0 dialect per 10,000 bathroom 11 author per 10,000 0 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 1 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 athin 11 author per 10,000 7 dialect per 10,000 medicine 11 author per 10,000 0 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 12 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 1 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 3 dialect per 10,000 lang 11 author per 10,000 12 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 4 dialect per 10,000 left 11 author per 10,000 5 dialect per 10,000 clean 11 author per 10,000 2 dialect per 10,000 fingers 11 author per 10,000 1 dialect per 10,000
Orkney
da 603 author per 10,000 0 dialect per 10,000 a 413 author per 10,000 308 dialect per 10,000 o 307 author per 10,000 182 dialect per 10,000 an 259 author per 10,000 109 dialect per 10,000 hit 238 author per 10,000 2 dialect per 10,000 he 217 author per 10,000 122 dialect per 10,000 ta 127 author per 10,000 0 dialect per 10,000 wis 122 author per 10,000 105 dialect per 10,000 116 author per 10,000 26 dialect per 10,000 wi 106 author per 10,000 61 dialect per 10,000 in 106 author per 10,000 154 dialect per 10,000 dey 101 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 27 dialect per 10,000 s 79 author per 10,000 32 dialect per 10,000 dodie 74 author per 10,000 0 dialect per 10,000 tae 74 author per 10,000 222 dialect per 10,000 i 69 author per 10,000 188 dialect per 10,000 said 69 author per 10,000 23 dialect per 10,000 at 69 author per 10,000 53 dialect per 10,000 aa 64 author per 10,000 8 dialect per 10,000 is 64 author per 10,000 54 dialect per 10,000 wid 58 author per 10,000 26 dialect per 10,000 wir 58 author per 10,000 35 dialect per 10,000 pan 58 author per 10,000 0 dialect per 10,000 shö 53 author per 10,000 0 dialect per 10,000 oot 53 author per 10,000 52 dialect per 10,000 his 53 author per 10,000 77 dialect per 10,000 bottle 48 author per 10,000 1 dialect per 10,000 dem 48 author per 10,000 0 dialect per 10,000 du 42 author per 10,000 0 dialect per 10,000 gud 42 author per 10,000 0 dialect per 10,000 inta 42 author per 10,000 0 dialect per 10,000 on 42 author per 10,000 80 dialect per 10,000 granny 42 author per 10,000 3 dialect per 10,000 her 42 author per 10,000 36 dialect per 10,000 dat 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 31 dialect per 10,000 apö 42 author per 10,000 0 dialect per 10,000 dis 37 author per 10,000 2 dialect per 10,000 muckle 37 author per 10,000 7 dialect per 10,000 up 37 author per 10,000 31 dialect per 10,000 nor 37 author per 10,000 2 dialect per 10,000 as 32 author per 10,000 58 dialect per 10,000 32 author per 10,000 23 dialect per 10,000 caa 32 author per 10,000 0 dialect per 10,000 pooder 32 author per 10,000 0 dialect per 10,000 ll 32 author per 10,000 3 dialect per 10,000 but 32 author per 10,000 24 dialect per 10,000 aald 32 author per 10,000 0 dialect per 10,000 ed 32 author per 10,000 0 dialect per 10,000 or 32 author per 10,000 30 dialect per 10,000 hale 32 author per 10,000 0 dialect per 10,000 der 32 author per 10,000 0 dialect per 10,000 tinny 32 author per 10,000 0 dialect per 10,000 we'd 32 author per 10,000 2 dialect per 10,000 d 26 author per 10,000 4 dialect per 10,000 wirds 26 author per 10,000 5 dialect per 10,000 wan 26 author per 10,000 25 dialect per 10,000 peerie 26 author per 10,000 0 dialect per 10,000 fan 26 author per 10,000 0 dialect per 10,000 hed 26 author per 10,000 1 dialect per 10,000 box 26 author per 10,000 1 dialect per 10,000 fur 26 author per 10,000 56 dialect per 10,000 day 26 author per 10,000 24 dialect per 10,000 back 26 author per 10,000 25 dialect per 10,000 bairns 26 author per 10,000 3 dialect per 10,000 can 21 author per 10,000 15 dialect per 10,000 weel 21 author per 10,000 23 dialect per 10,000 noo 21 author per 10,000 21 dialect per 10,000 trowe 21 author per 10,000 0 dialect per 10,000 broon 21 author per 10,000 2 dialect per 10,000 aboot 21 author per 10,000 29 dialect per 10,000 could 21 author per 10,000 16 dialect per 10,000 we 21 author per 10,000 40 dialect per 10,000 awa 21 author per 10,000 1 dialect per 10,000 lik 21 author per 10,000 0 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 een 21 author per 10,000 2 dialect per 10,000 stuff 21 author per 10,000 2 dialect per 10,000 be 21 author per 10,000 48 dialect per 10,000 whan 21 author per 10,000 4 dialect per 10,000 neist 16 author per 10,000 0 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 14 dialect per 10,000 anidder 16 author per 10,000 0 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 3 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 1 dialect per 10,000 dan 16 author per 10,000 0 dialect per 10,000 voe 16 author per 10,000 0 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 2 dialect per 10,000 hadd 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 16 dialect per 10,000 naethin 16 author per 10,000 0 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 15 dialect per 10,000 alang 16 author per 10,000 1 dialect per 10,000 took 16 author per 10,000 2 dialect per 10,000 foo 16 author per 10,000 0 dialect per 10,000 hair 16 author per 10,000 2 dialect per 10,000 owre 16 author per 10,000 2 dialect per 10,000 far 16 author per 10,000 5 dialect per 10,000 no 16 author per 10,000 55 dialect per 10,000 kent 16 author per 10,000 6 dialect per 10,000 here 16 author per 10,000 11 dialect per 10,000 cam 16 author per 10,000 11 dialect per 10,000 some 16 author per 10,000 21 dialect per 10,000 every 16 author per 10,000 7 dialect per 10,000 teeth 16 author per 10,000 1 dialect per 10,000 roond 11 author per 10,000 11 dialect per 10,000 bi 11 author per 10,000 12 dialect per 10,000 haand 11 author per 10,000 1 dialect per 10,000 yet 11 author per 10,000 5 dialect per 10,000 shaa 11 author per 10,000 0 dialect per 10,000 dy 11 author per 10,000 0 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 12 dialect per 10,000 hame 11 author per 10,000 2 dialect per 10,000 birds 11 author per 10,000 1 dialect per 10,000 wind 11 author per 10,000 3 dialect per 10,000 boats 11 author per 10,000 1 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 4 dialect per 10,000 bedroom 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 9 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 0 dialect per 10,000 whit 11 author per 10,000 26 dialect per 10,000 sam 11 author per 10,000 2 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 7 dialect per 10,000 him 11 author per 10,000 26 dialect per 10,000 perfect 11 author per 10,000 0 dialect per 10,000 watch 11 author per 10,000 2 dialect per 10,000 makkin 11 author per 10,000 0 dialect per 10,000 whin 11 author per 10,000 11 dialect per 10,000 my 11 author per 10,000 3 dialect per 10,000 egg 11 author per 10,000 1 dialect per 10,000 laand 11 author per 10,000 0 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 0 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 0 dialect per 10,000 mak 11 author per 10,000 8 dialect per 10,000 hae 11 author per 10,000 17 dialect per 10,000 sun 11 author per 10,000 3 dialect per 10,000 line 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 3 dialect per 10,000 maet 11 author per 10,000 2 dialect per 10,000 tidder 11 author per 10,000 0 dialect per 10,000 dug 11 author per 10,000 0 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 5 dialect per 10,000 markit 11 author per 10,000 0 dialect per 10,000 time 11 author per 10,000 18 dialect per 10,000 half 11 author per 10,000 2 dialect per 10,000 whaar 11 author per 10,000 0 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 0 dialect per 10,000 twa 11 author per 10,000 13 dialect per 10,000 haerts 11 author per 10,000 0 dialect per 10,000 sae 11 author per 10,000 1 dialect per 10,000 wrocht 11 author per 10,000 0 dialect per 10,000 broo 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 2 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 29 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 gaer 11 author per 10,000 0 dialect per 10,000 nedder 11 author per 10,000 0 dialect per 10,000 gin 11 author per 10,000 2 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 3 dialect per 10,000 bathroom 11 author per 10,000 1 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 0 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 3 dialect per 10,000 athin 11 author per 10,000 0 dialect per 10,000 medicine 11 author per 10,000 0 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 7 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 0 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 0 dialect per 10,000 lang 11 author per 10,000 1 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 1 dialect per 10,000 left 11 author per 10,000 6 dialect per 10,000 clean 11 author per 10,000 2 dialect per 10,000 fingers 11 author per 10,000 1 dialect per 10,000
Southern
da 603 author per 10,000 3 dialect per 10,000 a 413 author per 10,000 239 dialect per 10,000 o 307 author per 10,000 191 dialect per 10,000 an 259 author per 10,000 302 dialect per 10,000 hit 238 author per 10,000 1 dialect per 10,000 he 217 author per 10,000 15 dialect per 10,000 ta 127 author per 10,000 0 dialect per 10,000 wis 122 author per 10,000 57 dialect per 10,000 116 author per 10,000 11 dialect per 10,000 wi 106 author per 10,000 71 dialect per 10,000 in 106 author per 10,000 111 dialect per 10,000 dey 101 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 15 dialect per 10,000 s 79 author per 10,000 32 dialect per 10,000 dodie 74 author per 10,000 0 dialect per 10,000 tae 74 author per 10,000 206 dialect per 10,000 i 69 author per 10,000 62 dialect per 10,000 said 69 author per 10,000 63 dialect per 10,000 at 69 author per 10,000 70 dialect per 10,000 aa 64 author per 10,000 13 dialect per 10,000 is 64 author per 10,000 60 dialect per 10,000 wid 58 author per 10,000 3 dialect per 10,000 wir 58 author per 10,000 5 dialect per 10,000 pan 58 author per 10,000 0 dialect per 10,000 shö 53 author per 10,000 0 dialect per 10,000 oot 53 author per 10,000 34 dialect per 10,000 his 53 author per 10,000 38 dialect per 10,000 bottle 48 author per 10,000 1 dialect per 10,000 dem 48 author per 10,000 0 dialect per 10,000 du 42 author per 10,000 0 dialect per 10,000 gud 42 author per 10,000 1 dialect per 10,000 inta 42 author per 10,000 0 dialect per 10,000 on 42 author per 10,000 50 dialect per 10,000 granny 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 15 dialect per 10,000 dat 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 6 dialect per 10,000 apö 42 author per 10,000 0 dialect per 10,000 dis 37 author per 10,000 2 dialect per 10,000 muckle 37 author per 10,000 6 dialect per 10,000 up 37 author per 10,000 41 dialect per 10,000 nor 37 author per 10,000 5 dialect per 10,000 as 32 author per 10,000 52 dialect per 10,000 32 author per 10,000 1 dialect per 10,000 caa 32 author per 10,000 0 dialect per 10,000 pooder 32 author per 10,000 0 dialect per 10,000 ll 32 author per 10,000 2 dialect per 10,000 but 32 author per 10,000 39 dialect per 10,000 aald 32 author per 10,000 1 dialect per 10,000 ed 32 author per 10,000 0 dialect per 10,000 or 32 author per 10,000 25 dialect per 10,000 hale 32 author per 10,000 2 dialect per 10,000 der 32 author per 10,000 0 dialect per 10,000 tinny 32 author per 10,000 0 dialect per 10,000 we'd 32 author per 10,000 1 dialect per 10,000 d 26 author per 10,000 4 dialect per 10,000 wirds 26 author per 10,000 1 dialect per 10,000 wan 26 author per 10,000 1 dialect per 10,000 peerie 26 author per 10,000 0 dialect per 10,000 fan 26 author per 10,000 1 dialect per 10,000 hed 26 author per 10,000 32 dialect per 10,000 box 26 author per 10,000 1 dialect per 10,000 fur 26 author per 10,000 38 dialect per 10,000 day 26 author per 10,000 16 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 bairns 26 author per 10,000 6 dialect per 10,000 can 21 author per 10,000 12 dialect per 10,000 weel 21 author per 10,000 5 dialect per 10,000 noo 21 author per 10,000 13 dialect per 10,000 trowe 21 author per 10,000 0 dialect per 10,000 broon 21 author per 10,000 1 dialect per 10,000 aboot 21 author per 10,000 28 dialect per 10,000 could 21 author per 10,000 13 dialect per 10,000 we 21 author per 10,000 18 dialect per 10,000 awa 21 author per 10,000 14 dialect per 10,000 lik 21 author per 10,000 20 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 een 21 author per 10,000 4 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 be 21 author per 10,000 13 dialect per 10,000 whan 21 author per 10,000 26 dialect per 10,000 neist 16 author per 10,000 1 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 10 dialect per 10,000 anidder 16 author per 10,000 0 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 7 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 16 dialect per 10,000 dan 16 author per 10,000 0 dialect per 10,000 voe 16 author per 10,000 0 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 0 dialect per 10,000 hadd 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 16 dialect per 10,000 naethin 16 author per 10,000 1 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 6 dialect per 10,000 alang 16 author per 10,000 4 dialect per 10,000 took 16 author per 10,000 3 dialect per 10,000 foo 16 author per 10,000 0 dialect per 10,000 hair 16 author per 10,000 2 dialect per 10,000 owre 16 author per 10,000 10 dialect per 10,000 far 16 author per 10,000 2 dialect per 10,000 no 16 author per 10,000 28 dialect per 10,000 kent 16 author per 10,000 12 dialect per 10,000 here 16 author per 10,000 13 dialect per 10,000 cam 16 author per 10,000 5 dialect per 10,000 some 16 author per 10,000 12 dialect per 10,000 every 16 author per 10,000 2 dialect per 10,000 teeth 16 author per 10,000 1 dialect per 10,000 roond 11 author per 10,000 8 dialect per 10,000 bi 11 author per 10,000 11 dialect per 10,000 haand 11 author per 10,000 0 dialect per 10,000 yet 11 author per 10,000 4 dialect per 10,000 shaa 11 author per 10,000 0 dialect per 10,000 dy 11 author per 10,000 0 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 2 dialect per 10,000 hame 11 author per 10,000 10 dialect per 10,000 birds 11 author per 10,000 2 dialect per 10,000 wind 11 author per 10,000 1 dialect per 10,000 boats 11 author per 10,000 1 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 4 dialect per 10,000 bedroom 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 10 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 0 dialect per 10,000 whit 11 author per 10,000 29 dialect per 10,000 sam 11 author per 10,000 0 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 1 dialect per 10,000 him 11 author per 10,000 13 dialect per 10,000 perfect 11 author per 10,000 0 dialect per 10,000 watch 11 author per 10,000 3 dialect per 10,000 makkin 11 author per 10,000 2 dialect per 10,000 whin 11 author per 10,000 1 dialect per 10,000 my 11 author per 10,000 2 dialect per 10,000 egg 11 author per 10,000 0 dialect per 10,000 laand 11 author per 10,000 0 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 0 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 7 dialect per 10,000 mak 11 author per 10,000 7 dialect per 10,000 hae 11 author per 10,000 33 dialect per 10,000 sun 11 author per 10,000 4 dialect per 10,000 line 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 12 dialect per 10,000 maet 11 author per 10,000 0 dialect per 10,000 tidder 11 author per 10,000 0 dialect per 10,000 dug 11 author per 10,000 1 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 1 dialect per 10,000 markit 11 author per 10,000 0 dialect per 10,000 time 11 author per 10,000 15 dialect per 10,000 half 11 author per 10,000 0 dialect per 10,000 whaar 11 author per 10,000 0 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 7 dialect per 10,000 twa 11 author per 10,000 3 dialect per 10,000 haerts 11 author per 10,000 0 dialect per 10,000 sae 11 author per 10,000 25 dialect per 10,000 wrocht 11 author per 10,000 3 dialect per 10,000 broo 11 author per 10,000 0 dialect per 10,000 i 11 author per 10,000 0 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 25 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 gaer 11 author per 10,000 0 dialect per 10,000 nedder 11 author per 10,000 0 dialect per 10,000 gin 11 author per 10,000 8 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 0 dialect per 10,000 bathroom 11 author per 10,000 0 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 2 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 1 dialect per 10,000 turned 11 author per 10,000 2 dialect per 10,000 athin 11 author per 10,000 0 dialect per 10,000 medicine 11 author per 10,000 0 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 1 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 1 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 0 dialect per 10,000 lang 11 author per 10,000 12 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 0 dialect per 10,000 left 11 author per 10,000 5 dialect per 10,000 clean 11 author per 10,000 0 dialect per 10,000 fingers 11 author per 10,000 0 dialect per 10,000
Ulster
da 603 author per 10,000 1 dialect per 10,000 a 413 author per 10,000 295 dialect per 10,000 o 307 author per 10,000 220 dialect per 10,000 an 259 author per 10,000 392 dialect per 10,000 hit 238 author per 10,000 1 dialect per 10,000 he 217 author per 10,000 85 dialect per 10,000 ta 127 author per 10,000 0 dialect per 10,000 wis 122 author per 10,000 1 dialect per 10,000 116 author per 10,000 19 dialect per 10,000 wi 106 author per 10,000 69 dialect per 10,000 in 106 author per 10,000 99 dialect per 10,000 dey 101 author per 10,000 0 dialect per 10,000 for 85 author per 10,000 44 dialect per 10,000 s 79 author per 10,000 15 dialect per 10,000 dodie 74 author per 10,000 0 dialect per 10,000 tae 74 author per 10,000 259 dialect per 10,000 i 69 author per 10,000 9 dialect per 10,000 said 69 author per 10,000 38 dialect per 10,000 at 69 author per 10,000 47 dialect per 10,000 aa 64 author per 10,000 43 dialect per 10,000 is 64 author per 10,000 22 dialect per 10,000 wid 58 author per 10,000 1 dialect per 10,000 wir 58 author per 10,000 1 dialect per 10,000 pan 58 author per 10,000 0 dialect per 10,000 shö 53 author per 10,000 0 dialect per 10,000 oot 53 author per 10,000 58 dialect per 10,000 his 53 author per 10,000 23 dialect per 10,000 bottle 48 author per 10,000 1 dialect per 10,000 dem 48 author per 10,000 0 dialect per 10,000 du 42 author per 10,000 0 dialect per 10,000 gud 42 author per 10,000 0 dialect per 10,000 inta 42 author per 10,000 0 dialect per 10,000 on 42 author per 10,000 72 dialect per 10,000 granny 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 8 dialect per 10,000 dat 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 11 dialect per 10,000 apö 42 author per 10,000 0 dialect per 10,000 dis 37 author per 10,000 0 dialect per 10,000 muckle 37 author per 10,000 2 dialect per 10,000 up 37 author per 10,000 38 dialect per 10,000 nor 37 author per 10,000 10 dialect per 10,000 as 32 author per 10,000 30 dialect per 10,000 32 author per 10,000 0 dialect per 10,000 caa 32 author per 10,000 4 dialect per 10,000 pooder 32 author per 10,000 0 dialect per 10,000 ll 32 author per 10,000 2 dialect per 10,000 but 32 author per 10,000 53 dialect per 10,000 aald 32 author per 10,000 0 dialect per 10,000 ed 32 author per 10,000 1 dialect per 10,000 or 32 author per 10,000 43 dialect per 10,000 hale 32 author per 10,000 10 dialect per 10,000 der 32 author per 10,000 0 dialect per 10,000 tinny 32 author per 10,000 0 dialect per 10,000 we'd 32 author per 10,000 0 dialect per 10,000 d 26 author per 10,000 2 dialect per 10,000 wirds 26 author per 10,000 0 dialect per 10,000 wan 26 author per 10,000 0 dialect per 10,000 peerie 26 author per 10,000 0 dialect per 10,000 fan 26 author per 10,000 1 dialect per 10,000 hed 26 author per 10,000 1 dialect per 10,000 box 26 author per 10,000 2 dialect per 10,000 fur 26 author per 10,000 40 dialect per 10,000 day 26 author per 10,000 19 dialect per 10,000 back 26 author per 10,000 3 dialect per 10,000 bairns 26 author per 10,000 0 dialect per 10,000 can 21 author per 10,000 12 dialect per 10,000 weel 21 author per 10,000 17 dialect per 10,000 noo 21 author per 10,000 28 dialect per 10,000 trowe 21 author per 10,000 0 dialect per 10,000 broon 21 author per 10,000 1 dialect per 10,000 aboot 21 author per 10,000 32 dialect per 10,000 could 21 author per 10,000 1 dialect per 10,000 we 21 author per 10,000 17 dialect per 10,000 awa 21 author per 10,000 20 dialect per 10,000 lik 21 author per 10,000 8 dialect per 10,000 wye 21 author per 10,000 16 dialect per 10,000 een 21 author per 10,000 9 dialect per 10,000 stuff 21 author per 10,000 1 dialect per 10,000 be 21 author per 10,000 45 dialect per 10,000 whan 21 author per 10,000 20 dialect per 10,000 neist 16 author per 10,000 0 dialect per 10,000 apön 16 author per 10,000 0 dialect per 10,000 man 16 author per 10,000 23 dialect per 10,000 anidder 16 author per 10,000 0 dialect per 10,000 pheesic 16 author per 10,000 0 dialect per 10,000 white 16 author per 10,000 5 dialect per 10,000 scoopit 16 author per 10,000 0 dialect per 10,000 plunkit 16 author per 10,000 0 dialect per 10,000 aathin 16 author per 10,000 0 dialect per 10,000 mair 16 author per 10,000 27 dialect per 10,000 dan 16 author per 10,000 2 dialect per 10,000 voe 16 author per 10,000 0 dialect per 10,000 froad 16 author per 10,000 0 dialect per 10,000 laek 16 author per 10,000 0 dialect per 10,000 hadd 16 author per 10,000 0 dialect per 10,000 if 16 author per 10,000 16 dialect per 10,000 naethin 16 author per 10,000 8 dialect per 10,000 aerosol 16 author per 10,000 0 dialect per 10,000 see 16 author per 10,000 20 dialect per 10,000 alang 16 author per 10,000 5 dialect per 10,000 took 16 author per 10,000 0 dialect per 10,000 foo 16 author per 10,000 0 dialect per 10,000 hair 16 author per 10,000 2 dialect per 10,000 owre 16 author per 10,000 3 dialect per 10,000 far 16 author per 10,000 6 dialect per 10,000 no 16 author per 10,000 27 dialect per 10,000 kent 16 author per 10,000 1 dialect per 10,000 here 16 author per 10,000 13 dialect per 10,000 cam 16 author per 10,000 0 dialect per 10,000 some 16 author per 10,000 8 dialect per 10,000 every 16 author per 10,000 0 dialect per 10,000 teeth 16 author per 10,000 1 dialect per 10,000 roond 11 author per 10,000 1 dialect per 10,000 bi 11 author per 10,000 9 dialect per 10,000 haand 11 author per 10,000 0 dialect per 10,000 yet 11 author per 10,000 1 dialect per 10,000 shaa 11 author per 10,000 0 dialect per 10,000 dy 11 author per 10,000 0 dialect per 10,000 gyo 11 author per 10,000 0 dialect per 10,000 things 11 author per 10,000 4 dialect per 10,000 hame 11 author per 10,000 11 dialect per 10,000 birds 11 author per 10,000 0 dialect per 10,000 wind 11 author per 10,000 0 dialect per 10,000 boats 11 author per 10,000 0 dialect per 10,000 but-end 11 author per 10,000 0 dialect per 10,000 men 11 author per 10,000 7 dialect per 10,000 bedroom 11 author per 10,000 0 dialect per 10,000 did 11 author per 10,000 5 dialect per 10,000 paes 11 author per 10,000 0 dialect per 10,000 tocht 11 author per 10,000 0 dialect per 10,000 whit 11 author per 10,000 2 dialect per 10,000 sam 11 author per 10,000 2 dialect per 10,000 waeled 11 author per 10,000 0 dialect per 10,000 lettin 11 author per 10,000 0 dialect per 10,000 aroond 11 author per 10,000 0 dialect per 10,000 him 11 author per 10,000 12 dialect per 10,000 perfect 11 author per 10,000 0 dialect per 10,000 watch 11 author per 10,000 1 dialect per 10,000 makkin 11 author per 10,000 1 dialect per 10,000 whin 11 author per 10,000 9 dialect per 10,000 my 11 author per 10,000 2 dialect per 10,000 egg 11 author per 10,000 0 dialect per 10,000 laand 11 author per 10,000 0 dialect per 10,000 ninian 11 author per 10,000 0 dialect per 10,000 göd 11 author per 10,000 0 dialect per 10,000 flÖr 11 author per 10,000 0 dialect per 10,000 nicht 11 author per 10,000 8 dialect per 10,000 mak 11 author per 10,000 10 dialect per 10,000 hae 11 author per 10,000 61 dialect per 10,000 sun 11 author per 10,000 1 dialect per 10,000 line 11 author per 10,000 2 dialect per 10,000 gie 11 author per 10,000 16 dialect per 10,000 maet 11 author per 10,000 0 dialect per 10,000 tidder 11 author per 10,000 0 dialect per 10,000 dug 11 author per 10,000 1 dialect per 10,000 sauce 11 author per 10,000 0 dialect per 10,000 banks 11 author per 10,000 0 dialect per 10,000 markit 11 author per 10,000 0 dialect per 10,000 time 11 author per 10,000 15 dialect per 10,000 half 11 author per 10,000 3 dialect per 10,000 whaar 11 author per 10,000 0 dialect per 10,000 skelfs 11 author per 10,000 0 dialect per 10,000 micht 11 author per 10,000 6 dialect per 10,000 twa 11 author per 10,000 13 dialect per 10,000 haerts 11 author per 10,000 0 dialect per 10,000 sae 11 author per 10,000 30 dialect per 10,000 wrocht 11 author per 10,000 2 dialect per 10,000 broo 11 author per 10,000 1 dialect per 10,000 i 11 author per 10,000 0 dialect per 10,000 automatic 11 author per 10,000 0 dialect per 10,000 doon 11 author per 10,000 35 dialect per 10,000 winna 11 author per 10,000 0 dialect per 10,000 gaer 11 author per 10,000 0 dialect per 10,000 nedder 11 author per 10,000 0 dialect per 10,000 gin 11 author per 10,000 7 dialect per 10,000 tippit 11 author per 10,000 0 dialect per 10,000 disna 11 author per 10,000 0 dialect per 10,000 bathroom 11 author per 10,000 0 dialect per 10,000 labelled 11 author per 10,000 0 dialect per 10,000 names 11 author per 10,000 1 dialect per 10,000 emptied 11 author per 10,000 0 dialect per 10,000 red 11 author per 10,000 0 dialect per 10,000 turned 11 author per 10,000 1 dialect per 10,000 athin 11 author per 10,000 0 dialect per 10,000 medicine 11 author per 10,000 0 dialect per 10,000 balled 11 author per 10,000 0 dialect per 10,000 your 11 author per 10,000 1 dialect per 10,000 dey'd 11 author per 10,000 0 dialect per 10,000 dat 11 author per 10,000 0 dialect per 10,000 jar 11 author per 10,000 0 dialect per 10,000 aerosols 11 author per 10,000 0 dialect per 10,000 pressed 11 author per 10,000 0 dialect per 10,000 faider 11 author per 10,000 0 dialect per 10,000 lang 11 author per 10,000 14 dialect per 10,000 maybe 11 author per 10,000 0 dialect per 10,000 lock 11 author per 10,000 4 dialect per 10,000 left 11 author per 10,000 5 dialect per 10,000 clean 11 author per 10,000 1 dialect per 10,000 fingers 11 author per 10,000 0 dialect per 10,000