A Corpus of 21st Century Scots Texts

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Goodall, Phyllis J.

Punctuation analysis - Fine grain dialect analysis - Basic author info
Total words by this author in corpus - 1,531
Total unique words used by this author in corpus - 611
Ratio of total words to unique words - 2.506
Top ten most common words - the, an, a, ti, ye, wis, o, his, in, he,

Word frequency analysis

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

Lallans
the 451 author per 10,000 563 dialect per 10,000 an 300 author per 10,000 219 dialect per 10,000 a 274 author per 10,000 261 dialect per 10,000 ti 189 author per 10,000 17 dialect per 10,000 ye 176 author per 10,000 56 dialect per 10,000 wis 170 author per 10,000 101 dialect per 10,000 o 170 author per 10,000 191 dialect per 10,000 his 157 author per 10,000 52 dialect per 10,000 in 150 author per 10,000 150 dialect per 10,000 he 137 author per 10,000 89 dialect per 10,000 i 131 author per 10,000 35 dialect per 10,000 her 124 author per 10,000 48 dialect per 10,000 she 118 author per 10,000 61 dialect per 10,000 wi 118 author per 10,000 62 dialect per 10,000 grandad 111 author per 10,000 0 dialect per 10,000 at 111 author per 10,000 56 dialect per 10,000 on 98 author per 10,000 56 dialect per 10,000 yer 98 author per 10,000 18 dialect per 10,000 that 91 author per 10,000 118 dialect per 10,000 it 91 author per 10,000 122 dialect per 10,000 be 91 author per 10,000 51 dialect per 10,000 bit 85 author per 10,000 16 dialect per 10,000 like 72 author per 10,000 28 dialect per 10,000 hid 72 author per 10,000 2 dialect per 10,000 nae 65 author per 10,000 20 dialect per 10,000 fit 65 author per 10,000 2 dialect per 10,000 oot 65 author per 10,000 40 dialect per 10,000 aboot 65 author per 10,000 30 dialect per 10,000 aal 59 author per 10,000 0 dialect per 10,000 fin 59 author per 10,000 1 dialect per 10,000 as 59 author per 10,000 60 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 9 dialect per 10,000 dinna 46 author per 10,000 4 dialect per 10,000 wid 46 author per 10,000 8 dialect per 10,000 til 46 author per 10,000 3 dialect per 10,000 or 46 author per 10,000 29 dialect per 10,000 baabie 46 author per 10,000 0 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 29 dialect per 10,000 this 39 author per 10,000 44 dialect per 10,000 gyan 39 author per 10,000 0 dialect per 10,000 me 39 author per 10,000 40 dialect per 10,000 some 39 author per 10,000 14 dialect per 10,000 their 39 author per 10,000 19 dialect per 10,000 adam 39 author per 10,000 0 dialect per 10,000 quine 33 author per 10,000 0 dialect per 10,000 and 33 author per 10,000 89 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 39 dialect per 10,000 they 33 author per 10,000 43 dialect per 10,000 father 33 author per 10,000 0 dialect per 10,000 nicht 33 author per 10,000 5 dialect per 10,000 widna 33 author per 10,000 0 dialect per 10,000 for 33 author per 10,000 47 dialect per 10,000 thocht 33 author per 10,000 7 dialect per 10,000 awa 26 author per 10,000 9 dialect per 10,000 needin 26 author per 10,000 1 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 15 dialect per 10,000 lookin 26 author per 10,000 3 dialect per 10,000 fine 26 author per 10,000 3 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 21 dialect per 10,000 gid 26 author per 10,000 1 dialect per 10,000 wullie 26 author per 10,000 1 dialect per 10,000 i'm 26 author per 10,000 2 dialect per 10,000 company 26 author per 10,000 1 dialect per 10,000 will 26 author per 10,000 11 dialect per 10,000 kindness 26 author per 10,000 0 dialect per 10,000 could 26 author per 10,000 9 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 1 dialect per 10,000 door 20 author per 10,000 6 dialect per 10,000 deein 20 author per 10,000 0 dialect per 10,000 watchin 20 author per 10,000 1 dialect per 10,000 sit 20 author per 10,000 2 dialect per 10,000 mither's 20 author per 10,000 0 dialect per 10,000 local 20 author per 10,000 1 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 0 dialect per 10,000 up 20 author per 10,000 40 dialect per 10,000 efter 20 author per 10,000 9 dialect per 10,000 of 20 author per 10,000 10 dialect per 10,000 age 20 author per 10,000 1 dialect per 10,000 wear 20 author per 10,000 1 dialect per 10,000 my 20 author per 10,000 6 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 3 dialect per 10,000 he's 20 author per 10,000 5 dialect per 10,000 you 20 author per 10,000 17 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 2 dialect per 10,000 ken 20 author per 10,000 14 dialect per 10,000 gran 20 author per 10,000 0 dialect per 10,000 wirth 20 author per 10,000 0 dialect per 10,000 ye're 20 author per 10,000 2 dialect per 10,000 that's 20 author per 10,000 9 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 10 dialect per 10,000 mither 20 author per 10,000 4 dialect per 10,000 roon 20 author per 10,000 3 dialect per 10,000 wisna 20 author per 10,000 2 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 1 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 0 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 maan 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 34 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 5 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 23 dialect per 10,000 great 13 author per 10,000 3 dialect per 10,000 took 13 author per 10,000 3 dialect per 10,000 car 13 author per 10,000 1 dialect per 10,000 come 13 author per 10,000 9 dialect per 10,000 leavin 13 author per 10,000 1 dialect per 10,000 waar 13 author per 10,000 0 dialect per 10,000 harvester 13 author per 10,000 0 dialect per 10,000 am 13 author per 10,000 3 dialect per 10,000 tak 13 author per 10,000 8 dialect per 10,000 is 13 author per 10,000 62 dialect per 10,000 hame 13 author per 10,000 5 dialect per 10,000 it's 13 author per 10,000 16 dialect per 10,000 believe 13 author per 10,000 2 dialect per 10,000 wye 13 author per 10,000 0 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 0 dialect per 10,000 dance 13 author per 10,000 1 dialect per 10,000 did 13 author per 10,000 9 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 8 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 9 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 25 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 1 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 1 dialect per 10,000 says 13 author per 10,000 7 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 17 dialect per 10,000 haen 13 author per 10,000 0 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 0 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 17 dialect per 10,000 afore 13 author per 10,000 9 dialect per 10,000 ither 13 author per 10,000 12 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 6 dialect per 10,000 i've 13 author per 10,000 1 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 1 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 17 dialect per 10,000 ticht 13 author per 10,000 1 dialect per 10,000 laird 13 author per 10,000 0 dialect per 10,000 sayin 13 author per 10,000 3 dialect per 10,000 say 13 author per 10,000 10 dialect per 10,000 face 13 author per 10,000 5 dialect per 10,000 ever 13 author per 10,000 3 dialect per 10,000 mrs 13 author per 10,000 3 dialect per 10,000 interest 13 author per 10,000 1 dialect per 10,000 aye 13 author per 10,000 15 dialect per 10,000 keep 13 author per 10,000 5 dialect per 10,000 been 13 author per 10,000 20 dialect per 10,000 doon 13 author per 10,000 17 dialect per 10,000 somebody 13 author per 10,000 1 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 1 dialect per 10,000 never 13 author per 10,000 6 dialect per 10,000 phone 13 author per 10,000 1 dialect per 10,000 time 13 author per 10,000 18 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 state 13 author per 10,000 2 dialect per 10,000 makin 13 author per 10,000 2 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 3 dialect per 10,000 art 13 author per 10,000 0 dialect per 10,000 hae 13 author per 10,000 22 dialect per 10,000 so 13 author per 10,000 9 dialect per 10,000 didna 13 author per 10,000 5 dialect per 10,000 game 13 author per 10,000 1 dialect per 10,000 gie 13 author per 10,000 7 dialect per 10,000 them 13 author per 10,000 17 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 3 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000
Doric
the 451 author per 10,000 535 dialect per 10,000 an 300 author per 10,000 315 dialect per 10,000 a 274 author per 10,000 285 dialect per 10,000 ti 189 author per 10,000 3 dialect per 10,000 ye 176 author per 10,000 76 dialect per 10,000 wis 170 author per 10,000 115 dialect per 10,000 o 170 author per 10,000 201 dialect per 10,000 his 157 author per 10,000 79 dialect per 10,000 in 150 author per 10,000 136 dialect per 10,000 he 137 author per 10,000 103 dialect per 10,000 i 131 author per 10,000 54 dialect per 10,000 her 124 author per 10,000 75 dialect per 10,000 she 118 author per 10,000 63 dialect per 10,000 wi 118 author per 10,000 88 dialect per 10,000 grandad 111 author per 10,000 0 dialect per 10,000 at 111 author per 10,000 57 dialect per 10,000 on 98 author per 10,000 65 dialect per 10,000 yer 98 author per 10,000 30 dialect per 10,000 that 91 author per 10,000 60 dialect per 10,000 it 91 author per 10,000 109 dialect per 10,000 be 91 author per 10,000 44 dialect per 10,000 bit 85 author per 10,000 47 dialect per 10,000 like 72 author per 10,000 41 dialect per 10,000 hid 72 author per 10,000 43 dialect per 10,000 nae 65 author per 10,000 49 dialect per 10,000 fit 65 author per 10,000 39 dialect per 10,000 oot 65 author per 10,000 52 dialect per 10,000 aboot 65 author per 10,000 35 dialect per 10,000 aal 59 author per 10,000 2 dialect per 10,000 fin 59 author per 10,000 25 dialect per 10,000 as 59 author per 10,000 57 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 39 dialect per 10,000 dinna 46 author per 10,000 13 dialect per 10,000 wid 46 author per 10,000 18 dialect per 10,000 til 46 author per 10,000 1 dialect per 10,000 or 46 author per 10,000 23 dialect per 10,000 baabie 46 author per 10,000 0 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 38 dialect per 10,000 this 39 author per 10,000 22 dialect per 10,000 gyan 39 author per 10,000 2 dialect per 10,000 me 39 author per 10,000 21 dialect per 10,000 some 39 author per 10,000 13 dialect per 10,000 their 39 author per 10,000 23 dialect per 10,000 adam 39 author per 10,000 0 dialect per 10,000 quine 33 author per 10,000 4 dialect per 10,000 and 33 author per 10,000 46 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 34 dialect per 10,000 they 33 author per 10,000 40 dialect per 10,000 father 33 author per 10,000 1 dialect per 10,000 nicht 33 author per 10,000 12 dialect per 10,000 widna 33 author per 10,000 3 dialect per 10,000 for 33 author per 10,000 40 dialect per 10,000 thocht 33 author per 10,000 13 dialect per 10,000 awa 26 author per 10,000 22 dialect per 10,000 needin 26 author per 10,000 1 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 16 dialect per 10,000 lookin 26 author per 10,000 4 dialect per 10,000 fine 26 author per 10,000 14 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 23 dialect per 10,000 gid 26 author per 10,000 1 dialect per 10,000 wullie 26 author per 10,000 1 dialect per 10,000 i'm 26 author per 10,000 3 dialect per 10,000 company 26 author per 10,000 1 dialect per 10,000 will 26 author per 10,000 11 dialect per 10,000 kindness 26 author per 10,000 0 dialect per 10,000 could 26 author per 10,000 7 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 6 dialect per 10,000 door 20 author per 10,000 9 dialect per 10,000 deein 20 author per 10,000 3 dialect per 10,000 watchin 20 author per 10,000 1 dialect per 10,000 sit 20 author per 10,000 2 dialect per 10,000 mither's 20 author per 10,000 1 dialect per 10,000 local 20 author per 10,000 2 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 4 dialect per 10,000 up 20 author per 10,000 49 dialect per 10,000 efter 20 author per 10,000 10 dialect per 10,000 of 20 author per 10,000 8 dialect per 10,000 age 20 author per 10,000 1 dialect per 10,000 wear 20 author per 10,000 0 dialect per 10,000 my 20 author per 10,000 11 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 2 dialect per 10,000 he's 20 author per 10,000 5 dialect per 10,000 you 20 author per 10,000 21 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 4 dialect per 10,000 ken 20 author per 10,000 16 dialect per 10,000 gran 20 author per 10,000 3 dialect per 10,000 wirth 20 author per 10,000 1 dialect per 10,000 ye're 20 author per 10,000 5 dialect per 10,000 that's 20 author per 10,000 1 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 9 dialect per 10,000 mither 20 author per 10,000 8 dialect per 10,000 roon 20 author per 10,000 11 dialect per 10,000 wisna 20 author per 10,000 6 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 1 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 0 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 maan 13 author per 10,000 1 dialect per 10,000 no 13 author per 10,000 5 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 4 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 36 dialect per 10,000 great 13 author per 10,000 5 dialect per 10,000 took 13 author per 10,000 3 dialect per 10,000 car 13 author per 10,000 3 dialect per 10,000 come 13 author per 10,000 12 dialect per 10,000 leavin 13 author per 10,000 1 dialect per 10,000 waar 13 author per 10,000 1 dialect per 10,000 harvester 13 author per 10,000 0 dialect per 10,000 am 13 author per 10,000 2 dialect per 10,000 tak 13 author per 10,000 9 dialect per 10,000 is 13 author per 10,000 42 dialect per 10,000 hame 13 author per 10,000 11 dialect per 10,000 it's 13 author per 10,000 18 dialect per 10,000 believe 13 author per 10,000 2 dialect per 10,000 wye 13 author per 10,000 13 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 4 dialect per 10,000 dance 13 author per 10,000 0 dialect per 10,000 did 13 author per 10,000 9 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 12 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 20 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 2 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 0 dialect per 10,000 says 13 author per 10,000 12 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 15 dialect per 10,000 haen 13 author per 10,000 0 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 0 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 9 dialect per 10,000 afore 13 author per 10,000 14 dialect per 10,000 ither 13 author per 10,000 8 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 6 dialect per 10,000 i've 13 author per 10,000 1 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 1 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 13 dialect per 10,000 ticht 13 author per 10,000 1 dialect per 10,000 laird 13 author per 10,000 2 dialect per 10,000 sayin 13 author per 10,000 5 dialect per 10,000 say 13 author per 10,000 12 dialect per 10,000 face 13 author per 10,000 8 dialect per 10,000 ever 13 author per 10,000 1 dialect per 10,000 mrs 13 author per 10,000 2 dialect per 10,000 interest 13 author per 10,000 0 dialect per 10,000 aye 13 author per 10,000 15 dialect per 10,000 keep 13 author per 10,000 4 dialect per 10,000 been 13 author per 10,000 13 dialect per 10,000 doon 13 author per 10,000 34 dialect per 10,000 somebody 13 author per 10,000 1 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 1 dialect per 10,000 never 13 author per 10,000 1 dialect per 10,000 phone 13 author per 10,000 2 dialect per 10,000 time 13 author per 10,000 20 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 7 dialect per 10,000 state 13 author per 10,000 1 dialect per 10,000 makin 13 author per 10,000 1 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 3 dialect per 10,000 art 13 author per 10,000 0 dialect per 10,000 hae 13 author per 10,000 18 dialect per 10,000 so 13 author per 10,000 12 dialect per 10,000 didna 13 author per 10,000 9 dialect per 10,000 game 13 author per 10,000 1 dialect per 10,000 gie 13 author per 10,000 8 dialect per 10,000 them 13 author per 10,000 31 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 4 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000
Shetland
the 451 author per 10,000 23 dialect per 10,000 an 300 author per 10,000 349 dialect per 10,000 a 274 author per 10,000 235 dialect per 10,000 ti 189 author per 10,000 0 dialect per 10,000 ye 176 author per 10,000 0 dialect per 10,000 wis 170 author per 10,000 178 dialect per 10,000 o 170 author per 10,000 187 dialect per 10,000 his 157 author per 10,000 61 dialect per 10,000 in 150 author per 10,000 93 dialect per 10,000 he 137 author per 10,000 122 dialect per 10,000 i 131 author per 10,000 133 dialect per 10,000 her 124 author per 10,000 55 dialect per 10,000 she 118 author per 10,000 3 dialect per 10,000 wi 118 author per 10,000 92 dialect per 10,000 grandad 111 author per 10,000 0 dialect per 10,000 at 111 author per 10,000 119 dialect per 10,000 on 98 author per 10,000 52 dialect per 10,000 yer 98 author per 10,000 1 dialect per 10,000 that 91 author per 10,000 4 dialect per 10,000 it 91 author per 10,000 59 dialect per 10,000 be 91 author per 10,000 60 dialect per 10,000 bit 85 author per 10,000 32 dialect per 10,000 like 72 author per 10,000 2 dialect per 10,000 hid 72 author per 10,000 1 dialect per 10,000 nae 65 author per 10,000 26 dialect per 10,000 fit 65 author per 10,000 4 dialect per 10,000 oot 65 author per 10,000 47 dialect per 10,000 aboot 65 author per 10,000 43 dialect per 10,000 aal 59 author per 10,000 1 dialect per 10,000 fin 59 author per 10,000 8 dialect per 10,000 as 59 author per 10,000 78 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 57 dialect per 10,000 dinna 46 author per 10,000 0 dialect per 10,000 wid 46 author per 10,000 43 dialect per 10,000 til 46 author per 10,000 2 dialect per 10,000 or 46 author per 10,000 28 dialect per 10,000 baabie 46 author per 10,000 1 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 57 dialect per 10,000 this 39 author per 10,000 1 dialect per 10,000 gyan 39 author per 10,000 0 dialect per 10,000 me 39 author per 10,000 51 dialect per 10,000 some 39 author per 10,000 14 dialect per 10,000 their 39 author per 10,000 1 dialect per 10,000 adam 39 author per 10,000 0 dialect per 10,000 quine 33 author per 10,000 0 dialect per 10,000 and 33 author per 10,000 19 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 94 dialect per 10,000 they 33 author per 10,000 1 dialect per 10,000 father 33 author per 10,000 0 dialect per 10,000 nicht 33 author per 10,000 3 dialect per 10,000 widna 33 author per 10,000 5 dialect per 10,000 for 33 author per 10,000 48 dialect per 10,000 thocht 33 author per 10,000 0 dialect per 10,000 awa 26 author per 10,000 15 dialect per 10,000 needin 26 author per 10,000 2 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 0 dialect per 10,000 lookin 26 author per 10,000 5 dialect per 10,000 fine 26 author per 10,000 6 dialect per 10,000 paper 26 author per 10,000 1 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 gid 26 author per 10,000 0 dialect per 10,000 wullie 26 author per 10,000 0 dialect per 10,000 i'm 26 author per 10,000 1 dialect per 10,000 company 26 author per 10,000 0 dialect per 10,000 will 26 author per 10,000 10 dialect per 10,000 kindness 26 author per 10,000 1 dialect per 10,000 could 26 author per 10,000 16 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 2 dialect per 10,000 door 20 author per 10,000 6 dialect per 10,000 deein 20 author per 10,000 0 dialect per 10,000 watchin 20 author per 10,000 2 dialect per 10,000 sit 20 author per 10,000 1 dialect per 10,000 mither's 20 author per 10,000 0 dialect per 10,000 local 20 author per 10,000 0 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 0 dialect per 10,000 up 20 author per 10,000 42 dialect per 10,000 efter 20 author per 10,000 14 dialect per 10,000 of 20 author per 10,000 11 dialect per 10,000 age 20 author per 10,000 1 dialect per 10,000 wear 20 author per 10,000 0 dialect per 10,000 my 20 author per 10,000 20 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 0 dialect per 10,000 he's 20 author per 10,000 6 dialect per 10,000 you 20 author per 10,000 57 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 0 dialect per 10,000 ken 20 author per 10,000 16 dialect per 10,000 gran 20 author per 10,000 0 dialect per 10,000 wirth 20 author per 10,000 0 dialect per 10,000 ye're 20 author per 10,000 0 dialect per 10,000 that's 20 author per 10,000 0 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 6 dialect per 10,000 mither 20 author per 10,000 0 dialect per 10,000 roon 20 author per 10,000 1 dialect per 10,000 wisna 20 author per 10,000 11 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 5 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 1 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 0 dialect per 10,000 maan 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 37 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 3 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 0 dialect per 10,000 great 13 author per 10,000 0 dialect per 10,000 took 13 author per 10,000 11 dialect per 10,000 car 13 author per 10,000 0 dialect per 10,000 come 13 author per 10,000 21 dialect per 10,000 leavin 13 author per 10,000 0 dialect per 10,000 waar 13 author per 10,000 0 dialect per 10,000 harvester 13 author per 10,000 0 dialect per 10,000 am 13 author per 10,000 6 dialect per 10,000 tak 13 author per 10,000 15 dialect per 10,000 is 13 author per 10,000 62 dialect per 10,000 hame 13 author per 10,000 7 dialect per 10,000 it's 13 author per 10,000 4 dialect per 10,000 believe 13 author per 10,000 2 dialect per 10,000 wye 13 author per 10,000 25 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 0 dialect per 10,000 dance 13 author per 10,000 2 dialect per 10,000 did 13 author per 10,000 9 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 23 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 11 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 3 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 0 dialect per 10,000 says 13 author per 10,000 7 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 2 dialect per 10,000 haen 13 author per 10,000 0 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 0 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 1 dialect per 10,000 afore 13 author per 10,000 16 dialect per 10,000 ither 13 author per 10,000 0 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 5 dialect per 10,000 i've 13 author per 10,000 0 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 1 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 4 dialect per 10,000 ticht 13 author per 10,000 0 dialect per 10,000 laird 13 author per 10,000 1 dialect per 10,000 sayin 13 author per 10,000 6 dialect per 10,000 say 13 author per 10,000 15 dialect per 10,000 face 13 author per 10,000 7 dialect per 10,000 ever 13 author per 10,000 6 dialect per 10,000 mrs 13 author per 10,000 0 dialect per 10,000 interest 13 author per 10,000 0 dialect per 10,000 aye 13 author per 10,000 12 dialect per 10,000 keep 13 author per 10,000 5 dialect per 10,000 been 13 author per 10,000 13 dialect per 10,000 doon 13 author per 10,000 28 dialect per 10,000 somebody 13 author per 10,000 0 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 2 dialect per 10,000 never 13 author per 10,000 12 dialect per 10,000 phone 13 author per 10,000 0 dialect per 10,000 time 13 author per 10,000 21 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 seen 13 author per 10,000 5 dialect per 10,000 state 13 author per 10,000 1 dialect per 10,000 makin 13 author per 10,000 0 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 5 dialect per 10,000 art 13 author per 10,000 0 dialect per 10,000 hae 13 author per 10,000 25 dialect per 10,000 so 13 author per 10,000 32 dialect per 10,000 didna 13 author per 10,000 11 dialect per 10,000 game 13 author per 10,000 2 dialect per 10,000 gie 13 author per 10,000 12 dialect per 10,000 them 13 author per 10,000 1 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 4 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000
Orkney
the 451 author per 10,000 525 dialect per 10,000 an 300 author per 10,000 109 dialect per 10,000 a 274 author per 10,000 308 dialect per 10,000 ti 189 author per 10,000 0 dialect per 10,000 ye 176 author per 10,000 19 dialect per 10,000 wis 170 author per 10,000 105 dialect per 10,000 o 170 author per 10,000 182 dialect per 10,000 his 157 author per 10,000 77 dialect per 10,000 in 150 author per 10,000 154 dialect per 10,000 he 137 author per 10,000 122 dialect per 10,000 i 131 author per 10,000 188 dialect per 10,000 her 124 author per 10,000 36 dialect per 10,000 she 118 author per 10,000 7 dialect per 10,000 wi 118 author per 10,000 61 dialect per 10,000 grandad 111 author per 10,000 1 dialect per 10,000 at 111 author per 10,000 53 dialect per 10,000 on 98 author per 10,000 80 dialect per 10,000 yer 98 author per 10,000 7 dialect per 10,000 that 91 author per 10,000 97 dialect per 10,000 it 91 author per 10,000 29 dialect per 10,000 be 91 author per 10,000 48 dialect per 10,000 bit 85 author per 10,000 60 dialect per 10,000 like 72 author per 10,000 27 dialect per 10,000 hid 72 author per 10,000 115 dialect per 10,000 nae 65 author per 10,000 1 dialect per 10,000 fit 65 author per 10,000 1 dialect per 10,000 oot 65 author per 10,000 52 dialect per 10,000 aboot 65 author per 10,000 29 dialect per 10,000 aal 59 author per 10,000 45 dialect per 10,000 fin 59 author per 10,000 0 dialect per 10,000 as 59 author per 10,000 58 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 8 dialect per 10,000 dinna 46 author per 10,000 6 dialect per 10,000 wid 46 author per 10,000 26 dialect per 10,000 til 46 author per 10,000 0 dialect per 10,000 or 46 author per 10,000 30 dialect per 10,000 baabie 46 author per 10,000 0 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 26 dialect per 10,000 this 39 author per 10,000 37 dialect per 10,000 gyan 39 author per 10,000 0 dialect per 10,000 me 39 author per 10,000 128 dialect per 10,000 some 39 author per 10,000 21 dialect per 10,000 their 39 author per 10,000 10 dialect per 10,000 adam 39 author per 10,000 0 dialect per 10,000 quine 33 author per 10,000 0 dialect per 10,000 and 33 author per 10,000 249 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 23 dialect per 10,000 they 33 author per 10,000 44 dialect per 10,000 father 33 author per 10,000 0 dialect per 10,000 nicht 33 author per 10,000 0 dialect per 10,000 widna 33 author per 10,000 3 dialect per 10,000 for 33 author per 10,000 27 dialect per 10,000 thocht 33 author per 10,000 0 dialect per 10,000 awa 26 author per 10,000 1 dialect per 10,000 needin 26 author per 10,000 0 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 0 dialect per 10,000 lookin 26 author per 10,000 0 dialect per 10,000 fine 26 author per 10,000 6 dialect per 10,000 paper 26 author per 10,000 1 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 25 dialect per 10,000 gid 26 author per 10,000 0 dialect per 10,000 wullie 26 author per 10,000 0 dialect per 10,000 i'm 26 author per 10,000 1 dialect per 10,000 company 26 author per 10,000 1 dialect per 10,000 will 26 author per 10,000 7 dialect per 10,000 kindness 26 author per 10,000 0 dialect per 10,000 could 26 author per 10,000 16 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 0 dialect per 10,000 door 20 author per 10,000 10 dialect per 10,000 deein 20 author per 10,000 0 dialect per 10,000 watchin 20 author per 10,000 0 dialect per 10,000 sit 20 author per 10,000 4 dialect per 10,000 mither's 20 author per 10,000 1 dialect per 10,000 local 20 author per 10,000 1 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 0 dialect per 10,000 up 20 author per 10,000 31 dialect per 10,000 efter 20 author per 10,000 4 dialect per 10,000 of 20 author per 10,000 4 dialect per 10,000 age 20 author per 10,000 2 dialect per 10,000 wear 20 author per 10,000 1 dialect per 10,000 my 20 author per 10,000 3 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 0 dialect per 10,000 he's 20 author per 10,000 10 dialect per 10,000 you 20 author per 10,000 36 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 1 dialect per 10,000 ken 20 author per 10,000 17 dialect per 10,000 gran 20 author per 10,000 1 dialect per 10,000 wirth 20 author per 10,000 1 dialect per 10,000 ye're 20 author per 10,000 0 dialect per 10,000 that's 20 author per 10,000 9 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 0 dialect per 10,000 mither 20 author per 10,000 4 dialect per 10,000 roon 20 author per 10,000 1 dialect per 10,000 wisna 20 author per 10,000 5 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 0 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 0 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 2 dialect per 10,000 maan 13 author per 10,000 1 dialect per 10,000 no 13 author per 10,000 55 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 4 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 1 dialect per 10,000 great 13 author per 10,000 6 dialect per 10,000 took 13 author per 10,000 2 dialect per 10,000 car 13 author per 10,000 4 dialect per 10,000 come 13 author per 10,000 10 dialect per 10,000 leavin 13 author per 10,000 0 dialect per 10,000 waar 13 author per 10,000 1 dialect per 10,000 harvester 13 author per 10,000 0 dialect per 10,000 am 13 author per 10,000 3 dialect per 10,000 tak 13 author per 10,000 11 dialect per 10,000 is 13 author per 10,000 54 dialect per 10,000 hame 13 author per 10,000 2 dialect per 10,000 it's 13 author per 10,000 1 dialect per 10,000 believe 13 author per 10,000 1 dialect per 10,000 wye 13 author per 10,000 0 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 0 dialect per 10,000 dance 13 author per 10,000 2 dialect per 10,000 did 13 author per 10,000 9 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 11 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 13 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 3 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 2 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 1 dialect per 10,000 says 13 author per 10,000 5 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 16 dialect per 10,000 haen 13 author per 10,000 1 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 1 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 1 dialect per 10,000 afore 13 author per 10,000 13 dialect per 10,000 ither 13 author per 10,000 8 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 9 dialect per 10,000 i've 13 author per 10,000 0 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 0 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 11 dialect per 10,000 ticht 13 author per 10,000 0 dialect per 10,000 laird 13 author per 10,000 0 dialect per 10,000 sayin 13 author per 10,000 0 dialect per 10,000 say 13 author per 10,000 13 dialect per 10,000 face 13 author per 10,000 6 dialect per 10,000 ever 13 author per 10,000 2 dialect per 10,000 mrs 13 author per 10,000 4 dialect per 10,000 interest 13 author per 10,000 0 dialect per 10,000 aye 13 author per 10,000 9 dialect per 10,000 keep 13 author per 10,000 5 dialect per 10,000 been 13 author per 10,000 21 dialect per 10,000 doon 13 author per 10,000 29 dialect per 10,000 somebody 13 author per 10,000 2 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 0 dialect per 10,000 never 13 author per 10,000 2 dialect per 10,000 phone 13 author per 10,000 3 dialect per 10,000 time 13 author per 10,000 18 dialect per 10,000 left 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 8 dialect per 10,000 state 13 author per 10,000 1 dialect per 10,000 makin 13 author per 10,000 0 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 2 dialect per 10,000 art 13 author per 10,000 0 dialect per 10,000 hae 13 author per 10,000 17 dialect per 10,000 so 13 author per 10,000 34 dialect per 10,000 didna 13 author per 10,000 13 dialect per 10,000 game 13 author per 10,000 1 dialect per 10,000 gie 13 author per 10,000 3 dialect per 10,000 them 13 author per 10,000 21 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 4 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000
Southern
the 451 author per 10,000 463 dialect per 10,000 an 300 author per 10,000 302 dialect per 10,000 a 274 author per 10,000 239 dialect per 10,000 ti 189 author per 10,000 11 dialect per 10,000 ye 176 author per 10,000 31 dialect per 10,000 wis 170 author per 10,000 57 dialect per 10,000 o 170 author per 10,000 191 dialect per 10,000 his 157 author per 10,000 38 dialect per 10,000 in 150 author per 10,000 111 dialect per 10,000 he 137 author per 10,000 15 dialect per 10,000 i 131 author per 10,000 62 dialect per 10,000 her 124 author per 10,000 15 dialect per 10,000 she 118 author per 10,000 78 dialect per 10,000 wi 118 author per 10,000 71 dialect per 10,000 grandad 111 author per 10,000 0 dialect per 10,000 at 111 author per 10,000 70 dialect per 10,000 on 98 author per 10,000 50 dialect per 10,000 yer 98 author per 10,000 20 dialect per 10,000 that 91 author per 10,000 61 dialect per 10,000 it 91 author per 10,000 60 dialect per 10,000 be 91 author per 10,000 13 dialect per 10,000 bit 85 author per 10,000 18 dialect per 10,000 like 72 author per 10,000 7 dialect per 10,000 hid 72 author per 10,000 1 dialect per 10,000 nae 65 author per 10,000 26 dialect per 10,000 fit 65 author per 10,000 5 dialect per 10,000 oot 65 author per 10,000 34 dialect per 10,000 aboot 65 author per 10,000 28 dialect per 10,000 aal 59 author per 10,000 0 dialect per 10,000 fin 59 author per 10,000 1 dialect per 10,000 as 59 author per 10,000 52 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 13 dialect per 10,000 dinna 46 author per 10,000 1 dialect per 10,000 wid 46 author per 10,000 3 dialect per 10,000 til 46 author per 10,000 21 dialect per 10,000 or 46 author per 10,000 25 dialect per 10,000 baabie 46 author per 10,000 0 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 13 dialect per 10,000 this 39 author per 10,000 32 dialect per 10,000 gyan 39 author per 10,000 0 dialect per 10,000 me 39 author per 10,000 13 dialect per 10,000 some 39 author per 10,000 12 dialect per 10,000 their 39 author per 10,000 14 dialect per 10,000 adam 39 author per 10,000 1 dialect per 10,000 quine 33 author per 10,000 0 dialect per 10,000 and 33 author per 10,000 22 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 63 dialect per 10,000 they 33 author per 10,000 35 dialect per 10,000 father 33 author per 10,000 0 dialect per 10,000 nicht 33 author per 10,000 7 dialect per 10,000 widna 33 author per 10,000 0 dialect per 10,000 for 33 author per 10,000 15 dialect per 10,000 thocht 33 author per 10,000 12 dialect per 10,000 awa 26 author per 10,000 14 dialect per 10,000 needin 26 author per 10,000 0 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 3 dialect per 10,000 lookin 26 author per 10,000 4 dialect per 10,000 fine 26 author per 10,000 2 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 19 dialect per 10,000 gid 26 author per 10,000 0 dialect per 10,000 wullie 26 author per 10,000 3 dialect per 10,000 i'm 26 author per 10,000 1 dialect per 10,000 company 26 author per 10,000 1 dialect per 10,000 will 26 author per 10,000 3 dialect per 10,000 kindness 26 author per 10,000 0 dialect per 10,000 could 26 author per 10,000 13 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 0 dialect per 10,000 door 20 author per 10,000 7 dialect per 10,000 deein 20 author per 10,000 0 dialect per 10,000 watchin 20 author per 10,000 1 dialect per 10,000 sit 20 author per 10,000 2 dialect per 10,000 mither's 20 author per 10,000 0 dialect per 10,000 local 20 author per 10,000 3 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 1 dialect per 10,000 up 20 author per 10,000 41 dialect per 10,000 efter 20 author per 10,000 14 dialect per 10,000 of 20 author per 10,000 11 dialect per 10,000 age 20 author per 10,000 1 dialect per 10,000 wear 20 author per 10,000 0 dialect per 10,000 my 20 author per 10,000 2 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 1 dialect per 10,000 he's 20 author per 10,000 1 dialect per 10,000 you 20 author per 10,000 3 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 1 dialect per 10,000 ken 20 author per 10,000 18 dialect per 10,000 gran 20 author per 10,000 0 dialect per 10,000 wirth 20 author per 10,000 0 dialect per 10,000 ye're 20 author per 10,000 2 dialect per 10,000 that's 20 author per 10,000 6 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 10 dialect per 10,000 mither 20 author per 10,000 2 dialect per 10,000 roon 20 author per 10,000 3 dialect per 10,000 wisna 20 author per 10,000 1 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 1 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 0 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 maan 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 28 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 2 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 16 dialect per 10,000 great 13 author per 10,000 3 dialect per 10,000 took 13 author per 10,000 3 dialect per 10,000 car 13 author per 10,000 2 dialect per 10,000 come 13 author per 10,000 8 dialect per 10,000 leavin 13 author per 10,000 1 dialect per 10,000 waar 13 author per 10,000 0 dialect per 10,000 harvester 13 author per 10,000 1 dialect per 10,000 am 13 author per 10,000 2 dialect per 10,000 tak 13 author per 10,000 8 dialect per 10,000 is 13 author per 10,000 60 dialect per 10,000 hame 13 author per 10,000 10 dialect per 10,000 it's 13 author per 10,000 7 dialect per 10,000 believe 13 author per 10,000 1 dialect per 10,000 wye 13 author per 10,000 0 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 0 dialect per 10,000 dance 13 author per 10,000 3 dialect per 10,000 did 13 author per 10,000 10 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 5 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 3 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 2 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 0 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 1 dialect per 10,000 says 13 author per 10,000 2 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 11 dialect per 10,000 haen 13 author per 10,000 0 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 0 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 12 dialect per 10,000 afore 13 author per 10,000 15 dialect per 10,000 ither 13 author per 10,000 12 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 6 dialect per 10,000 i've 13 author per 10,000 0 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 1 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 16 dialect per 10,000 ticht 13 author per 10,000 1 dialect per 10,000 laird 13 author per 10,000 2 dialect per 10,000 sayin 13 author per 10,000 3 dialect per 10,000 say 13 author per 10,000 17 dialect per 10,000 face 13 author per 10,000 6 dialect per 10,000 ever 13 author per 10,000 1 dialect per 10,000 mrs 13 author per 10,000 7 dialect per 10,000 interest 13 author per 10,000 0 dialect per 10,000 aye 13 author per 10,000 11 dialect per 10,000 keep 13 author per 10,000 3 dialect per 10,000 been 13 author per 10,000 9 dialect per 10,000 doon 13 author per 10,000 25 dialect per 10,000 somebody 13 author per 10,000 1 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 1 dialect per 10,000 never 13 author per 10,000 5 dialect per 10,000 phone 13 author per 10,000 0 dialect per 10,000 time 13 author per 10,000 15 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 seen 13 author per 10,000 5 dialect per 10,000 state 13 author per 10,000 1 dialect per 10,000 makin 13 author per 10,000 1 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 2 dialect per 10,000 art 13 author per 10,000 1 dialect per 10,000 hae 13 author per 10,000 33 dialect per 10,000 so 13 author per 10,000 3 dialect per 10,000 didna 13 author per 10,000 1 dialect per 10,000 game 13 author per 10,000 2 dialect per 10,000 gie 13 author per 10,000 12 dialect per 10,000 them 13 author per 10,000 4 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 4 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000
Ulster
the 451 author per 10,000 229 dialect per 10,000 an 300 author per 10,000 392 dialect per 10,000 a 274 author per 10,000 295 dialect per 10,000 ti 189 author per 10,000 0 dialect per 10,000 ye 176 author per 10,000 94 dialect per 10,000 wis 170 author per 10,000 1 dialect per 10,000 o 170 author per 10,000 220 dialect per 10,000 his 157 author per 10,000 23 dialect per 10,000 in 150 author per 10,000 99 dialect per 10,000 he 137 author per 10,000 85 dialect per 10,000 i 131 author per 10,000 9 dialect per 10,000 her 124 author per 10,000 8 dialect per 10,000 she 118 author per 10,000 17 dialect per 10,000 wi 118 author per 10,000 69 dialect per 10,000 grandad 111 author per 10,000 0 dialect per 10,000 at 111 author per 10,000 47 dialect per 10,000 on 98 author per 10,000 72 dialect per 10,000 yer 98 author per 10,000 48 dialect per 10,000 that 91 author per 10,000 88 dialect per 10,000 it 91 author per 10,000 82 dialect per 10,000 be 91 author per 10,000 45 dialect per 10,000 bit 85 author per 10,000 8 dialect per 10,000 like 72 author per 10,000 9 dialect per 10,000 hid 72 author per 10,000 1 dialect per 10,000 nae 65 author per 10,000 26 dialect per 10,000 fit 65 author per 10,000 4 dialect per 10,000 oot 65 author per 10,000 58 dialect per 10,000 aboot 65 author per 10,000 32 dialect per 10,000 aal 59 author per 10,000 13 dialect per 10,000 fin 59 author per 10,000 6 dialect per 10,000 as 59 author per 10,000 30 dialect per 10,000 barbara 52 author per 10,000 0 dialect per 10,000 aa 52 author per 10,000 43 dialect per 10,000 dinna 46 author per 10,000 0 dialect per 10,000 wid 46 author per 10,000 1 dialect per 10,000 til 46 author per 10,000 11 dialect per 10,000 or 46 author per 10,000 43 dialect per 10,000 baabie 46 author per 10,000 0 dialect per 10,000 grandfather 46 author per 10,000 0 dialect per 10,000 him 46 author per 10,000 12 dialect per 10,000 this 39 author per 10,000 27 dialect per 10,000 gyan 39 author per 10,000 0 dialect per 10,000 me 39 author per 10,000 27 dialect per 10,000 some 39 author per 10,000 8 dialect per 10,000 their 39 author per 10,000 7 dialect per 10,000 adam 39 author per 10,000 0 dialect per 10,000 quine 33 author per 10,000 0 dialect per 10,000 and 33 author per 10,000 6 dialect per 10,000 dunce 33 author per 10,000 0 dialect per 10,000 said 33 author per 10,000 38 dialect per 10,000 they 33 author per 10,000 25 dialect per 10,000 father 33 author per 10,000 0 dialect per 10,000 nicht 33 author per 10,000 8 dialect per 10,000 widna 33 author per 10,000 0 dialect per 10,000 for 33 author per 10,000 44 dialect per 10,000 thocht 33 author per 10,000 14 dialect per 10,000 awa 26 author per 10,000 20 dialect per 10,000 needin 26 author per 10,000 0 dialect per 10,000 duncin 26 author per 10,000 0 dialect per 10,000 fowk 26 author per 10,000 25 dialect per 10,000 lookin 26 author per 10,000 0 dialect per 10,000 fine 26 author per 10,000 1 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 jeans 26 author per 10,000 0 dialect per 10,000 back 26 author per 10,000 3 dialect per 10,000 gid 26 author per 10,000 0 dialect per 10,000 wullie 26 author per 10,000 4 dialect per 10,000 i'm 26 author per 10,000 1 dialect per 10,000 company 26 author per 10,000 0 dialect per 10,000 will 26 author per 10,000 1 dialect per 10,000 kindness 26 author per 10,000 0 dialect per 10,000 could 26 author per 10,000 1 dialect per 10,000 combines 26 author per 10,000 0 dialect per 10,000 wint 26 author per 10,000 0 dialect per 10,000 door 20 author per 10,000 0 dialect per 10,000 deein 20 author per 10,000 1 dialect per 10,000 watchin 20 author per 10,000 0 dialect per 10,000 sit 20 author per 10,000 2 dialect per 10,000 mither's 20 author per 10,000 0 dialect per 10,000 local 20 author per 10,000 0 dialect per 10,000 fusky 20 author per 10,000 0 dialect per 10,000 loon 20 author per 10,000 0 dialect per 10,000 up 20 author per 10,000 38 dialect per 10,000 efter 20 author per 10,000 6 dialect per 10,000 of 20 author per 10,000 2 dialect per 10,000 age 20 author per 10,000 2 dialect per 10,000 wear 20 author per 10,000 0 dialect per 10,000 my 20 author per 10,000 2 dialect per 10,000 disinhibited 20 author per 10,000 0 dialect per 10,000 eneuch 20 author per 10,000 4 dialect per 10,000 he's 20 author per 10,000 4 dialect per 10,000 you 20 author per 10,000 5 dialect per 10,000 amon 20 author per 10,000 0 dialect per 10,000 yersel 20 author per 10,000 5 dialect per 10,000 ken 20 author per 10,000 3 dialect per 10,000 gran 20 author per 10,000 1 dialect per 10,000 wirth 20 author per 10,000 0 dialect per 10,000 ye're 20 author per 10,000 0 dialect per 10,000 that's 20 author per 10,000 10 dialect per 10,000 robertson 20 author per 10,000 0 dialect per 10,000 ain 20 author per 10,000 14 dialect per 10,000 mither 20 author per 10,000 5 dialect per 10,000 roon 20 author per 10,000 14 dialect per 10,000 wisna 20 author per 10,000 0 dialect per 10,000 combine 20 author per 10,000 0 dialect per 10,000 maybe 13 author per 10,000 1 dialect per 10,000 wheelchair 13 author per 10,000 0 dialect per 10,000 craiter 13 author per 10,000 0 dialect per 10,000 dunced 13 author per 10,000 0 dialect per 10,000 nice 13 author per 10,000 1 dialect per 10,000 maan 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 27 dialect per 10,000 tithe 13 author per 10,000 0 dialect per 10,000 need 13 author per 10,000 3 dialect per 10,000 jeeves 13 author per 10,000 0 dialect per 10,000 jist 13 author per 10,000 12 dialect per 10,000 great 13 author per 10,000 1 dialect per 10,000 took 13 author per 10,000 0 dialect per 10,000 car 13 author per 10,000 1 dialect per 10,000 come 13 author per 10,000 10 dialect per 10,000 leavin 13 author per 10,000 0 dialect per 10,000 waar 13 author per 10,000 0 dialect per 10,000 harvester 13 author per 10,000 0 dialect per 10,000 am 13 author per 10,000 4 dialect per 10,000 tak 13 author per 10,000 15 dialect per 10,000 is 13 author per 10,000 22 dialect per 10,000 hame 13 author per 10,000 11 dialect per 10,000 it's 13 author per 10,000 13 dialect per 10,000 believe 13 author per 10,000 1 dialect per 10,000 wye 13 author per 10,000 16 dialect per 10,000 kindness's 13 author per 10,000 0 dialect per 10,000 crochley 13 author per 10,000 0 dialect per 10,000 gyang 13 author per 10,000 0 dialect per 10,000 dance 13 author per 10,000 2 dialect per 10,000 did 13 author per 10,000 5 dialect per 10,000 favour 13 author per 10,000 0 dialect per 10,000 cam 13 author per 10,000 0 dialect per 10,000 pillar 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 13 dialect per 10,000 remarks 13 author per 10,000 0 dialect per 10,000 had 13 author per 10,000 18 dialect per 10,000 streen 13 author per 10,000 0 dialect per 10,000 half 13 author per 10,000 3 dialect per 10,000 grouse 13 author per 10,000 0 dialect per 10,000 inn 13 author per 10,000 0 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 chair 13 author per 10,000 0 dialect per 10,000 says 13 author per 10,000 4 dialect per 10,000 deeve 13 author per 10,000 0 dialect per 10,000 are 13 author per 10,000 3 dialect per 10,000 haen 13 author per 10,000 0 dialect per 10,000 conversationally 13 author per 10,000 0 dialect per 10,000 dressed 13 author per 10,000 0 dialect per 10,000 wooer 13 author per 10,000 0 dialect per 10,000 oor 13 author per 10,000 12 dialect per 10,000 afore 13 author per 10,000 14 dialect per 10,000 ither 13 author per 10,000 17 dialect per 10,000 kint 13 author per 10,000 0 dialect per 10,000 last 13 author per 10,000 5 dialect per 10,000 i've 13 author per 10,000 0 dialect per 10,000 speen-feedin 13 author per 10,000 0 dialect per 10,000 music 13 author per 10,000 1 dialect per 10,000 saps 13 author per 10,000 0 dialect per 10,000 were 13 author per 10,000 4 dialect per 10,000 ticht 13 author per 10,000 1 dialect per 10,000 laird 13 author per 10,000 0 dialect per 10,000 sayin 13 author per 10,000 6 dialect per 10,000 say 13 author per 10,000 14 dialect per 10,000 face 13 author per 10,000 3 dialect per 10,000 ever 13 author per 10,000 0 dialect per 10,000 mrs 13 author per 10,000 0 dialect per 10,000 interest 13 author per 10,000 0 dialect per 10,000 aye 13 author per 10,000 15 dialect per 10,000 keep 13 author per 10,000 4 dialect per 10,000 been 13 author per 10,000 2 dialect per 10,000 doon 13 author per 10,000 35 dialect per 10,000 somebody 13 author per 10,000 0 dialect per 10,000 afa 13 author per 10,000 0 dialect per 10,000 greetin 13 author per 10,000 2 dialect per 10,000 never 13 author per 10,000 0 dialect per 10,000 phone 13 author per 10,000 0 dialect per 10,000 time 13 author per 10,000 15 dialect per 10,000 left 13 author per 10,000 5 dialect per 10,000 seen 13 author per 10,000 5 dialect per 10,000 state 13 author per 10,000 0 dialect per 10,000 makin 13 author per 10,000 1 dialect per 10,000 reekin 13 author per 10,000 0 dialect per 10,000 times 13 author per 10,000 3 dialect per 10,000 art 13 author per 10,000 0 dialect per 10,000 hae 13 author per 10,000 61 dialect per 10,000 so 13 author per 10,000 6 dialect per 10,000 didna 13 author per 10,000 0 dialect per 10,000 game 13 author per 10,000 2 dialect per 10,000 gie 13 author per 10,000 16 dialect per 10,000 them 13 author per 10,000 6 dialect per 10,000 exercise 13 author per 10,000 0 dialect per 10,000 feet 13 author per 10,000 4 dialect per 10,000 performed 13 author per 10,000 0 dialect per 10,000 games 7 author per 10,000 0 dialect per 10,000 highland 7 author per 10,000 0 dialect per 10,000