A Corpus of 21st Century Scots Texts

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Lamb, Darcie


Total words by this author in corpus - 240
Total unique words used by this author in corpus - 130
Ratio of total words to unique words - 1.846
Top ten most common words - the, a, wis, aw, and, tae, ma, first, there, in,

Word frequency analysis

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

Central
the 1042 author per 10,000 557 dialect per 10,000 a 750 author per 10,000 261 dialect per 10,000 wis 333 author per 10,000 99 dialect per 10,000 aw 292 author per 10,000 41 dialect per 10,000 and 208 author per 10,000 102 dialect per 10,000 tae 208 author per 10,000 212 dialect per 10,000 ma 167 author per 10,000 51 dialect per 10,000 first 167 author per 10,000 9 dialect per 10,000 there 125 author per 10,000 25 dialect per 10,000 in 125 author per 10,000 148 dialect per 10,000 her 125 author per 10,000 45 dialect per 10,000 oan 125 author per 10,000 17 dialect per 10,000 act 125 author per 10,000 1 dialect per 10,000 pure 125 author per 10,000 4 dialect per 10,000 sangs 83 author per 10,000 1 dialect per 10,000 she's 83 author per 10,000 5 dialect per 10,000 fair 83 author per 10,000 3 dialect per 10,000 stone 83 author per 10,000 0 dialect per 10,000 bus 83 author per 10,000 1 dialect per 10,000 we 83 author per 10,000 35 dialect per 10,000 jist 83 author per 10,000 22 dialect per 10,000 aboot 83 author per 10,000 30 dialect per 10,000 some 83 author per 10,000 13 dialect per 10,000 their 83 author per 10,000 18 dialect per 10,000 go 83 author per 10,000 6 dialect per 10,000 when 83 author per 10,000 18 dialect per 10,000 nut 83 author per 10,000 0 dialect per 10,000 so 83 author per 10,000 9 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 2 dialect per 10,000 were 83 author per 10,000 16 dialect per 10,000 roses 83 author per 10,000 0 dialect per 10,000 me 83 author per 10,000 41 dialect per 10,000 doon 83 author per 10,000 17 dialect per 10,000 wiz 83 author per 10,000 2 dialect per 10,000 breakfast 83 author per 10,000 1 dialect per 10,000 git 83 author per 10,000 3 dialect per 10,000 up 83 author per 10,000 40 dialect per 10,000 heard 83 author per 10,000 4 dialect per 10,000 time 83 author per 10,000 17 dialect per 10,000 best 83 author per 10,000 4 dialect per 10,000 day 83 author per 10,000 13 dialect per 10,000 felt 83 author per 10,000 3 dialect per 10,000 sing 42 author per 10,000 1 dialect per 10,000 lookin 42 author per 10,000 3 dialect per 10,000 gettin 42 author per 10,000 4 dialect per 10,000 emotional 42 author per 10,000 0 dialect per 10,000 them 42 author per 10,000 18 dialect per 10,000 spent 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 43 dialect per 10,000 still 42 author per 10,000 8 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 5 dialect per 10,000 ever 42 author per 10,000 4 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 2 dialect per 10,000 face 42 author per 10,000 5 dialect per 10,000 til 42 author per 10,000 5 dialect per 10,000 oors 42 author per 10,000 1 dialect per 10,000 came 42 author per 10,000 3 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 1 dialect per 10,000 got 42 author per 10,000 12 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 7 dialect per 10,000 voice 42 author per 10,000 2 dialect per 10,000 last 42 author per 10,000 6 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 61 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 2 dialect per 10,000 band 42 author per 10,000 0 dialect per 10,000 been 42 author per 10,000 19 dialect per 10,000 brocht 42 author per 10,000 3 dialect per 10,000 wae 42 author per 10,000 7 dialect per 10,000 that 42 author per 10,000 110 dialect per 10,000 a've 42 author per 10,000 0 dialect per 10,000 wee 42 author per 10,000 27 dialect per 10,000 canada 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 27 dialect per 10,000 lassie 42 author per 10,000 3 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 1 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 1 dialect per 10,000 excitement 42 author per 10,000 0 dialect per 10,000 maw 42 author per 10,000 2 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 3 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 3 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 1 dialect per 10,000 t 42 author per 10,000 1 dialect per 10,000 went 42 author per 10,000 7 dialect per 10,000 mind 42 author per 10,000 7 dialect per 10,000 fir 42 author per 10,000 6 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 119 dialect per 10,000 baw 42 author per 10,000 1 dialect per 10,000 had 42 author per 10,000 24 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 3 dialect per 10,000 nice 42 author per 10,000 1 dialect per 10,000 whin 42 author per 10,000 1 dialect per 10,000 ae 42 author per 10,000 20 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 2 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 39 dialect per 10,000 over 42 author per 10,000 1 dialect per 10,000 get 42 author per 10,000 16 dialect per 10,000 by 42 author per 10,000 16 dialect per 10,000 singin 42 author per 10,000 1 dialect per 10,000 gaun 42 author per 10,000 8 dialect per 10,000 wur 42 author per 10,000 5 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 3 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 9 dialect per 10,000
Doric
the 1042 author per 10,000 483 dialect per 10,000 a 750 author per 10,000 295 dialect per 10,000 wis 333 author per 10,000 107 dialect per 10,000 aw 292 author per 10,000 1 dialect per 10,000 and 208 author per 10,000 45 dialect per 10,000 tae 208 author per 10,000 168 dialect per 10,000 ma 167 author per 10,000 50 dialect per 10,000 first 167 author per 10,000 7 dialect per 10,000 there 125 author per 10,000 21 dialect per 10,000 in 125 author per 10,000 136 dialect per 10,000 her 125 author per 10,000 66 dialect per 10,000 oan 125 author per 10,000 10 dialect per 10,000 act 125 author per 10,000 0 dialect per 10,000 pure 125 author per 10,000 0 dialect per 10,000 sangs 83 author per 10,000 0 dialect per 10,000 she's 83 author per 10,000 5 dialect per 10,000 fair 83 author per 10,000 8 dialect per 10,000 stone 83 author per 10,000 0 dialect per 10,000 bus 83 author per 10,000 1 dialect per 10,000 we 83 author per 10,000 21 dialect per 10,000 jist 83 author per 10,000 36 dialect per 10,000 aboot 83 author per 10,000 35 dialect per 10,000 some 83 author per 10,000 13 dialect per 10,000 their 83 author per 10,000 21 dialect per 10,000 go 83 author per 10,000 3 dialect per 10,000 when 83 author per 10,000 2 dialect per 10,000 nut 83 author per 10,000 0 dialect per 10,000 so 83 author per 10,000 13 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 1 dialect per 10,000 were 83 author per 10,000 13 dialect per 10,000 roses 83 author per 10,000 0 dialect per 10,000 me 83 author per 10,000 30 dialect per 10,000 doon 83 author per 10,000 37 dialect per 10,000 wiz 83 author per 10,000 19 dialect per 10,000 breakfast 83 author per 10,000 0 dialect per 10,000 git 83 author per 10,000 4 dialect per 10,000 up 83 author per 10,000 46 dialect per 10,000 heard 83 author per 10,000 5 dialect per 10,000 time 83 author per 10,000 20 dialect per 10,000 best 83 author per 10,000 5 dialect per 10,000 day 83 author per 10,000 31 dialect per 10,000 felt 83 author per 10,000 3 dialect per 10,000 sing 42 author per 10,000 1 dialect per 10,000 lookin 42 author per 10,000 4 dialect per 10,000 gettin 42 author per 10,000 4 dialect per 10,000 emotional 42 author per 10,000 0 dialect per 10,000 them 42 author per 10,000 27 dialect per 10,000 spent 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 37 dialect per 10,000 still 42 author per 10,000 6 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 6 dialect per 10,000 ever 42 author per 10,000 1 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 0 dialect per 10,000 face 42 author per 10,000 8 dialect per 10,000 til 42 author per 10,000 2 dialect per 10,000 oors 42 author per 10,000 2 dialect per 10,000 came 42 author per 10,000 5 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 1 dialect per 10,000 got 42 author per 10,000 14 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 8 dialect per 10,000 voice 42 author per 10,000 1 dialect per 10,000 last 42 author per 10,000 5 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 44 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 3 dialect per 10,000 band 42 author per 10,000 1 dialect per 10,000 been 42 author per 10,000 12 dialect per 10,000 brocht 42 author per 10,000 2 dialect per 10,000 wae 42 author per 10,000 0 dialect per 10,000 that 42 author per 10,000 54 dialect per 10,000 a've 42 author per 10,000 1 dialect per 10,000 wee 42 author per 10,000 19 dialect per 10,000 canada 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 27 dialect per 10,000 lassie 42 author per 10,000 3 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 0 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 1 dialect per 10,000 excitement 42 author per 10,000 0 dialect per 10,000 maw 42 author per 10,000 0 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 2 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 7 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 3 dialect per 10,000 t 42 author per 10,000 1 dialect per 10,000 went 42 author per 10,000 4 dialect per 10,000 mind 42 author per 10,000 5 dialect per 10,000 fir 42 author per 10,000 19 dialect per 10,000 year 42 author per 10,000 5 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 106 dialect per 10,000 baw 42 author per 10,000 0 dialect per 10,000 had 42 author per 10,000 3 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 1 dialect per 10,000 nice 42 author per 10,000 1 dialect per 10,000 whin 42 author per 10,000 0 dialect per 10,000 ae 42 author per 10,000 8 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 1 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 51 dialect per 10,000 over 42 author per 10,000 0 dialect per 10,000 get 42 author per 10,000 16 dialect per 10,000 by 42 author per 10,000 9 dialect per 10,000 singin 42 author per 10,000 1 dialect per 10,000 gaun 42 author per 10,000 7 dialect per 10,000 wur 42 author per 10,000 0 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 0 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 9 dialect per 10,000
Shetland
the 1042 author per 10,000 20 dialect per 10,000 a 750 author per 10,000 279 dialect per 10,000 wis 333 author per 10,000 180 dialect per 10,000 aw 292 author per 10,000 0 dialect per 10,000 and 208 author per 10,000 16 dialect per 10,000 tae 208 author per 10,000 74 dialect per 10,000 ma 167 author per 10,000 0 dialect per 10,000 first 167 author per 10,000 11 dialect per 10,000 there 125 author per 10,000 1 dialect per 10,000 in 125 author per 10,000 97 dialect per 10,000 her 125 author per 10,000 69 dialect per 10,000 oan 125 author per 10,000 0 dialect per 10,000 act 125 author per 10,000 0 dialect per 10,000 pure 125 author per 10,000 0 dialect per 10,000 sangs 83 author per 10,000 0 dialect per 10,000 she's 83 author per 10,000 0 dialect per 10,000 fair 83 author per 10,000 1 dialect per 10,000 stone 83 author per 10,000 0 dialect per 10,000 bus 83 author per 10,000 0 dialect per 10,000 we 83 author per 10,000 44 dialect per 10,000 jist 83 author per 10,000 0 dialect per 10,000 aboot 83 author per 10,000 41 dialect per 10,000 some 83 author per 10,000 14 dialect per 10,000 their 83 author per 10,000 1 dialect per 10,000 go 83 author per 10,000 3 dialect per 10,000 when 83 author per 10,000 6 dialect per 10,000 nut 83 author per 10,000 0 dialect per 10,000 so 83 author per 10,000 29 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 0 dialect per 10,000 were 83 author per 10,000 3 dialect per 10,000 roses 83 author per 10,000 0 dialect per 10,000 me 83 author per 10,000 48 dialect per 10,000 doon 83 author per 10,000 25 dialect per 10,000 wiz 83 author per 10,000 0 dialect per 10,000 breakfast 83 author per 10,000 0 dialect per 10,000 git 83 author per 10,000 4 dialect per 10,000 up 83 author per 10,000 45 dialect per 10,000 heard 83 author per 10,000 7 dialect per 10,000 time 83 author per 10,000 23 dialect per 10,000 best 83 author per 10,000 6 dialect per 10,000 day 83 author per 10,000 19 dialect per 10,000 felt 83 author per 10,000 4 dialect per 10,000 sing 42 author per 10,000 1 dialect per 10,000 lookin 42 author per 10,000 5 dialect per 10,000 gettin 42 author per 10,000 2 dialect per 10,000 emotional 42 author per 10,000 0 dialect per 10,000 them 42 author per 10,000 1 dialect per 10,000 spent 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 2 dialect per 10,000 still 42 author per 10,000 9 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 8 dialect per 10,000 ever 42 author per 10,000 6 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 1 dialect per 10,000 face 42 author per 10,000 7 dialect per 10,000 til 42 author per 10,000 2 dialect per 10,000 oors 42 author per 10,000 1 dialect per 10,000 came 42 author per 10,000 0 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 1 dialect per 10,000 got 42 author per 10,000 9 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 10 dialect per 10,000 voice 42 author per 10,000 5 dialect per 10,000 last 42 author per 10,000 6 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 59 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 0 dialect per 10,000 band 42 author per 10,000 0 dialect per 10,000 been 42 author per 10,000 18 dialect per 10,000 brocht 42 author per 10,000 1 dialect per 10,000 wae 42 author per 10,000 0 dialect per 10,000 that 42 author per 10,000 4 dialect per 10,000 a've 42 author per 10,000 0 dialect per 10,000 wee 42 author per 10,000 0 dialect per 10,000 canada 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 36 dialect per 10,000 lassie 42 author per 10,000 0 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 1 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 0 dialect per 10,000 excitement 42 author per 10,000 0 dialect per 10,000 maw 42 author per 10,000 0 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 1 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 0 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 0 dialect per 10,000 t 42 author per 10,000 1 dialect per 10,000 went 42 author per 10,000 0 dialect per 10,000 mind 42 author per 10,000 11 dialect per 10,000 fir 42 author per 10,000 23 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 60 dialect per 10,000 baw 42 author per 10,000 0 dialect per 10,000 had 42 author per 10,000 2 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 1 dialect per 10,000 nice 42 author per 10,000 0 dialect per 10,000 whin 42 author per 10,000 26 dialect per 10,000 ae 42 author per 10,000 1 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 0 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 47 dialect per 10,000 over 42 author per 10,000 0 dialect per 10,000 get 42 author per 10,000 7 dialect per 10,000 by 42 author per 10,000 7 dialect per 10,000 singin 42 author per 10,000 1 dialect per 10,000 gaun 42 author per 10,000 0 dialect per 10,000 wur 42 author per 10,000 0 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 0 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 9 dialect per 10,000
Orkney
the 1042 author per 10,000 584 dialect per 10,000 a 750 author per 10,000 296 dialect per 10,000 wis 333 author per 10,000 79 dialect per 10,000 aw 292 author per 10,000 0 dialect per 10,000 and 208 author per 10,000 192 dialect per 10,000 tae 208 author per 10,000 222 dialect per 10,000 ma 167 author per 10,000 1 dialect per 10,000 first 167 author per 10,000 7 dialect per 10,000 there 125 author per 10,000 18 dialect per 10,000 in 125 author per 10,000 147 dialect per 10,000 her 125 author per 10,000 48 dialect per 10,000 oan 125 author per 10,000 10 dialect per 10,000 act 125 author per 10,000 0 dialect per 10,000 pure 125 author per 10,000 0 dialect per 10,000 sangs 83 author per 10,000 0 dialect per 10,000 she's 83 author per 10,000 0 dialect per 10,000 fair 83 author per 10,000 3 dialect per 10,000 stone 83 author per 10,000 2 dialect per 10,000 bus 83 author per 10,000 1 dialect per 10,000 we 83 author per 10,000 30 dialect per 10,000 jist 83 author per 10,000 3 dialect per 10,000 aboot 83 author per 10,000 27 dialect per 10,000 some 83 author per 10,000 17 dialect per 10,000 their 83 author per 10,000 7 dialect per 10,000 go 83 author per 10,000 10 dialect per 10,000 when 83 author per 10,000 22 dialect per 10,000 nut 83 author per 10,000 1 dialect per 10,000 so 83 author per 10,000 29 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 0 dialect per 10,000 were 83 author per 10,000 7 dialect per 10,000 roses 83 author per 10,000 0 dialect per 10,000 me 83 author per 10,000 111 dialect per 10,000 doon 83 author per 10,000 28 dialect per 10,000 wiz 83 author per 10,000 0 dialect per 10,000 breakfast 83 author per 10,000 1 dialect per 10,000 git 83 author per 10,000 5 dialect per 10,000 up 83 author per 10,000 33 dialect per 10,000 heard 83 author per 10,000 2 dialect per 10,000 time 83 author per 10,000 18 dialect per 10,000 best 83 author per 10,000 6 dialect per 10,000 day 83 author per 10,000 21 dialect per 10,000 felt 83 author per 10,000 3 dialect per 10,000 sing 42 author per 10,000 1 dialect per 10,000 lookin 42 author per 10,000 0 dialect per 10,000 gettin 42 author per 10,000 0 dialect per 10,000 emotional 42 author per 10,000 0 dialect per 10,000 them 42 author per 10,000 17 dialect per 10,000 spent 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 34 dialect per 10,000 still 42 author per 10,000 11 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 4 dialect per 10,000 ever 42 author per 10,000 1 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 1 dialect per 10,000 face 42 author per 10,000 7 dialect per 10,000 til 42 author per 10,000 1 dialect per 10,000 oors 42 author per 10,000 1 dialect per 10,000 came 42 author per 10,000 1 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 1 dialect per 10,000 got 42 author per 10,000 12 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 2 dialect per 10,000 voice 42 author per 10,000 1 dialect per 10,000 last 42 author per 10,000 8 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 73 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 2 dialect per 10,000 band 42 author per 10,000 1 dialect per 10,000 been 42 author per 10,000 18 dialect per 10,000 brocht 42 author per 10,000 0 dialect per 10,000 wae 42 author per 10,000 41 dialect per 10,000 that 42 author per 10,000 75 dialect per 10,000 a've 42 author per 10,000 0 dialect per 10,000 wee 42 author per 10,000 1 dialect per 10,000 canada 42 author per 10,000 1 dialect per 10,000 fae 42 author per 10,000 37 dialect per 10,000 lassie 42 author per 10,000 0 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 0 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 1 dialect per 10,000 excitement 42 author per 10,000 1 dialect per 10,000 maw 42 author per 10,000 0 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 4 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 0 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 1 dialect per 10,000 t 42 author per 10,000 0 dialect per 10,000 went 42 author per 10,000 1 dialect per 10,000 mind 42 author per 10,000 10 dialect per 10,000 fir 42 author per 10,000 5 dialect per 10,000 year 42 author per 10,000 7 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 23 dialect per 10,000 baw 42 author per 10,000 0 dialect per 10,000 had 42 author per 10,000 2 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 2 dialect per 10,000 nice 42 author per 10,000 1 dialect per 10,000 whin 42 author per 10,000 6 dialect per 10,000 ae 42 author per 10,000 1 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 1 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 51 dialect per 10,000 over 42 author per 10,000 1 dialect per 10,000 get 42 author per 10,000 10 dialect per 10,000 by 42 author per 10,000 16 dialect per 10,000 singin 42 author per 10,000 0 dialect per 10,000 gaun 42 author per 10,000 0 dialect per 10,000 wur 42 author per 10,000 11 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 0 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 8 dialect per 10,000
Southern
the 1042 author per 10,000 484 dialect per 10,000 a 750 author per 10,000 254 dialect per 10,000 wis 333 author per 10,000 62 dialect per 10,000 aw 292 author per 10,000 30 dialect per 10,000 and 208 author per 10,000 37 dialect per 10,000 tae 208 author per 10,000 198 dialect per 10,000 ma 167 author per 10,000 63 dialect per 10,000 first 167 author per 10,000 3 dialect per 10,000 there 125 author per 10,000 17 dialect per 10,000 in 125 author per 10,000 118 dialect per 10,000 her 125 author per 10,000 25 dialect per 10,000 oan 125 author per 10,000 38 dialect per 10,000 act 125 author per 10,000 0 dialect per 10,000 pure 125 author per 10,000 1 dialect per 10,000 sangs 83 author per 10,000 1 dialect per 10,000 she's 83 author per 10,000 2 dialect per 10,000 fair 83 author per 10,000 11 dialect per 10,000 stone 83 author per 10,000 0 dialect per 10,000 bus 83 author per 10,000 2 dialect per 10,000 we 83 author per 10,000 21 dialect per 10,000 jist 83 author per 10,000 14 dialect per 10,000 aboot 83 author per 10,000 29 dialect per 10,000 some 83 author per 10,000 11 dialect per 10,000 their 83 author per 10,000 15 dialect per 10,000 go 83 author per 10,000 1 dialect per 10,000 when 83 author per 10,000 16 dialect per 10,000 nut 83 author per 10,000 2 dialect per 10,000 so 83 author per 10,000 3 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 0 dialect per 10,000 were 83 author per 10,000 17 dialect per 10,000 roses 83 author per 10,000 1 dialect per 10,000 me 83 author per 10,000 20 dialect per 10,000 doon 83 author per 10,000 24 dialect per 10,000 wiz 83 author per 10,000 0 dialect per 10,000 breakfast 83 author per 10,000 0 dialect per 10,000 git 83 author per 10,000 2 dialect per 10,000 up 83 author per 10,000 40 dialect per 10,000 heard 83 author per 10,000 5 dialect per 10,000 time 83 author per 10,000 16 dialect per 10,000 best 83 author per 10,000 4 dialect per 10,000 day 83 author per 10,000 17 dialect per 10,000 felt 83 author per 10,000 4 dialect per 10,000 sing 42 author per 10,000 2 dialect per 10,000 lookin 42 author per 10,000 4 dialect per 10,000 gettin 42 author per 10,000 3 dialect per 10,000 emotional 42 author per 10,000 1 dialect per 10,000 them 42 author per 10,000 8 dialect per 10,000 spent 42 author per 10,000 1 dialect per 10,000 they 42 author per 10,000 35 dialect per 10,000 still 42 author per 10,000 8 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 5 dialect per 10,000 ever 42 author per 10,000 1 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 1 dialect per 10,000 face 42 author per 10,000 5 dialect per 10,000 til 42 author per 10,000 21 dialect per 10,000 oors 42 author per 10,000 1 dialect per 10,000 came 42 author per 10,000 5 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 0 dialect per 10,000 got 42 author per 10,000 10 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 12 dialect per 10,000 voice 42 author per 10,000 7 dialect per 10,000 last 42 author per 10,000 6 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 60 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 2 dialect per 10,000 band 42 author per 10,000 2 dialect per 10,000 been 42 author per 10,000 10 dialect per 10,000 brocht 42 author per 10,000 2 dialect per 10,000 wae 42 author per 10,000 2 dialect per 10,000 that 42 author per 10,000 64 dialect per 10,000 a've 42 author per 10,000 1 dialect per 10,000 wee 42 author per 10,000 24 dialect per 10,000 canada 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 6 dialect per 10,000 lassie 42 author per 10,000 4 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 1 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 0 dialect per 10,000 excitement 42 author per 10,000 0 dialect per 10,000 maw 42 author per 10,000 1 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 5 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 2 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 0 dialect per 10,000 t 42 author per 10,000 1 dialect per 10,000 went 42 author per 10,000 12 dialect per 10,000 mind 42 author per 10,000 9 dialect per 10,000 fir 42 author per 10,000 13 dialect per 10,000 year 42 author per 10,000 6 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 66 dialect per 10,000 baw 42 author per 10,000 0 dialect per 10,000 had 42 author per 10,000 3 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 2 dialect per 10,000 nice 42 author per 10,000 1 dialect per 10,000 whin 42 author per 10,000 1 dialect per 10,000 ae 42 author per 10,000 55 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 7 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 35 dialect per 10,000 over 42 author per 10,000 0 dialect per 10,000 get 42 author per 10,000 11 dialect per 10,000 by 42 author per 10,000 8 dialect per 10,000 singin 42 author per 10,000 1 dialect per 10,000 gaun 42 author per 10,000 11 dialect per 10,000 wur 42 author per 10,000 24 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 3 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 10 dialect per 10,000
Ulster
the 1042 author per 10,000 296 dialect per 10,000 a 750 author per 10,000 284 dialect per 10,000 wis 333 author per 10,000 1 dialect per 10,000 aw 292 author per 10,000 1 dialect per 10,000 and 208 author per 10,000 10 dialect per 10,000 tae 208 author per 10,000 259 dialect per 10,000 ma 167 author per 10,000 21 dialect per 10,000 first 167 author per 10,000 1 dialect per 10,000 there 125 author per 10,000 6 dialect per 10,000 in 125 author per 10,000 120 dialect per 10,000 her 125 author per 10,000 7 dialect per 10,000 oan 125 author per 10,000 21 dialect per 10,000 act 125 author per 10,000 0 dialect per 10,000 pure 125 author per 10,000 0 dialect per 10,000 sangs 83 author per 10,000 0 dialect per 10,000 she's 83 author per 10,000 1 dialect per 10,000 fair 83 author per 10,000 2 dialect per 10,000 stone 83 author per 10,000 0 dialect per 10,000 bus 83 author per 10,000 0 dialect per 10,000 we 83 author per 10,000 18 dialect per 10,000 jist 83 author per 10,000 9 dialect per 10,000 aboot 83 author per 10,000 27 dialect per 10,000 some 83 author per 10,000 6 dialect per 10,000 their 83 author per 10,000 6 dialect per 10,000 go 83 author per 10,000 4 dialect per 10,000 when 83 author per 10,000 2 dialect per 10,000 nut 83 author per 10,000 0 dialect per 10,000 so 83 author per 10,000 5 dialect per 10,000 alessia 83 author per 10,000 0 dialect per 10,000 cara 83 author per 10,000 0 dialect per 10,000 people 83 author per 10,000 1 dialect per 10,000 were 83 author per 10,000 5 dialect per 10,000 roses 83 author per 10,000 0 dialect per 10,000 me 83 author per 10,000 24 dialect per 10,000 doon 83 author per 10,000 28 dialect per 10,000 wiz 83 author per 10,000 2 dialect per 10,000 breakfast 83 author per 10,000 0 dialect per 10,000 git 83 author per 10,000 5 dialect per 10,000 up 83 author per 10,000 31 dialect per 10,000 heard 83 author per 10,000 0 dialect per 10,000 time 83 author per 10,000 13 dialect per 10,000 best 83 author per 10,000 3 dialect per 10,000 day 83 author per 10,000 15 dialect per 10,000 felt 83 author per 10,000 1 dialect per 10,000 sing 42 author per 10,000 2 dialect per 10,000 lookin 42 author per 10,000 0 dialect per 10,000 gettin 42 author per 10,000 2 dialect per 10,000 emotional 42 author per 10,000 0 dialect per 10,000 them 42 author per 10,000 7 dialect per 10,000 spent 42 author per 10,000 0 dialect per 10,000 they 42 author per 10,000 26 dialect per 10,000 still 42 author per 10,000 4 dialect per 10,000 rides 42 author per 10,000 0 dialect per 10,000 place 42 author per 10,000 7 dialect per 10,000 ever 42 author per 10,000 0 dialect per 10,000 jumpin 42 author per 10,000 0 dialect per 10,000 group 42 author per 10,000 0 dialect per 10,000 face 42 author per 10,000 3 dialect per 10,000 til 42 author per 10,000 17 dialect per 10,000 oors 42 author per 10,000 1 dialect per 10,000 came 42 author per 10,000 2 dialect per 10,000 tunes 42 author per 10,000 0 dialect per 10,000 favourite 42 author per 10,000 0 dialect per 10,000 got 42 author per 10,000 9 dialect per 10,000 chills 42 author per 10,000 0 dialect per 10,000 gie 42 author per 10,000 17 dialect per 10,000 voice 42 author per 10,000 4 dialect per 10,000 last 42 author per 10,000 4 dialect per 10,000 hinnie 42 author per 10,000 0 dialect per 10,000 is 42 author per 10,000 19 dialect per 10,000 sweet 42 author per 10,000 1 dialect per 10,000 bonnie 42 author per 10,000 0 dialect per 10,000 band 42 author per 10,000 0 dialect per 10,000 been 42 author per 10,000 2 dialect per 10,000 brocht 42 author per 10,000 4 dialect per 10,000 wae 42 author per 10,000 12 dialect per 10,000 that 42 author per 10,000 72 dialect per 10,000 a've 42 author per 10,000 1 dialect per 10,000 wee 42 author per 10,000 26 dialect per 10,000 canada 42 author per 10,000 0 dialect per 10,000 fae 42 author per 10,000 14 dialect per 10,000 lassie 42 author per 10,000 0 dialect per 10,000 painted 42 author per 10,000 0 dialect per 10,000 atmosphere 42 author per 10,000 0 dialect per 10,000 tasted 42 author per 10,000 0 dialect per 10,000 stair 42 author per 10,000 0 dialect per 10,000 raced 42 author per 10,000 0 dialect per 10,000 buzzin 42 author per 10,000 0 dialect per 10,000 rare 42 author per 10,000 0 dialect per 10,000 excitement 42 author per 10,000 0 dialect per 10,000 maw 42 author per 10,000 0 dialect per 10,000 heided 42 author per 10,000 0 dialect per 10,000 next 42 author per 10,000 0 dialect per 10,000 brill 42 author per 10,000 0 dialect per 10,000 mornin 42 author per 10,000 0 dialect per 10,000 woke 42 author per 10,000 0 dialect per 10,000 park 42 author per 10,000 0 dialect per 10,000 t 42 author per 10,000 1 dialect per 10,000 went 42 author per 10,000 12 dialect per 10,000 mind 42 author per 10,000 3 dialect per 10,000 fir 42 author per 10,000 2 dialect per 10,000 year 42 author per 10,000 2 dialect per 10,000 amazin 42 author per 10,000 0 dialect per 10,000 it 42 author per 10,000 71 dialect per 10,000 baw 42 author per 10,000 0 dialect per 10,000 had 42 author per 10,000 15 dialect per 10,000 boyfriend 42 author per 10,000 0 dialect per 10,000 ryan 42 author per 10,000 0 dialect per 10,000 few 42 author per 10,000 0 dialect per 10,000 nice 42 author per 10,000 1 dialect per 10,000 whin 42 author per 10,000 6 dialect per 10,000 ae 42 author per 10,000 0 dialect per 10,000 cases 42 author per 10,000 0 dialect per 10,000 steamin 42 author per 10,000 0 dialect per 10,000 hing 42 author per 10,000 0 dialect per 10,000 embarrassment 42 author per 10,000 0 dialect per 10,000 hefty 42 author per 10,000 0 dialect per 10,000 oot 42 author per 10,000 51 dialect per 10,000 over 42 author per 10,000 0 dialect per 10,000 get 42 author per 10,000 8 dialect per 10,000 by 42 author per 10,000 8 dialect per 10,000 singin 42 author per 10,000 0 dialect per 10,000 gaun 42 author per 10,000 2 dialect per 10,000 wur 42 author per 10,000 17 dialect per 10,000 bands 42 author per 10,000 0 dialect per 10,000 luvved 42 author per 10,000 0 dialect per 10,000 couldnae 42 author per 10,000 0 dialect per 10,000 bottlemen 42 author per 10,000 0 dialect per 10,000 catfish 42 author per 10,000 0 dialect per 10,000 did 42 author per 10,000 4 dialect per 10,000