A Corpus of 21st Century Scots Texts

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McDonald, Charlie


Total words by this author in corpus - 2,310
Total unique words used by this author in corpus - 829
Ratio of total words to unique words - 2.786
Top ten most common words - the, a, tae, an', yer, ye, in, wis, o', it,

Word frequency analysis

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

Central
the 498 author per 10,000 565 dialect per 10,000 a 303 author per 10,000 266 dialect per 10,000 tae 277 author per 10,000 211 dialect per 10,000 an' 208 author per 10,000 4 dialect per 10,000 yer 186 author per 10,000 21 dialect per 10,000 ye 186 author per 10,000 62 dialect per 10,000 in 182 author per 10,000 147 dialect per 10,000 wis 173 author per 10,000 97 dialect per 10,000 o' 169 author per 10,000 2 dialect per 10,000 it 108 author per 10,000 116 dialect per 10,000 a' 100 author per 10,000 1 dialect per 10,000 on 95 author per 10,000 55 dialect per 10,000 wi' 87 author per 10,000 1 dialect per 10,000 fan 82 author per 10,000 0 dialect per 10,000 we 74 author per 10,000 33 dialect per 10,000 for 74 author per 10,000 48 dialect per 10,000 as 74 author per 10,000 59 dialect per 10,000 or 69 author per 10,000 29 dialect per 10,000 hid 69 author per 10,000 2 dialect per 10,000 bit 69 author per 10,000 18 dialect per 10,000 they 65 author per 10,000 41 dialect per 10,000 nae 65 author per 10,000 24 dialect per 10,000 wir 61 author per 10,000 4 dialect per 10,000 oot 61 author per 10,000 40 dialect per 10,000 jist 61 author per 10,000 20 dialect per 10,000 that 52 author per 10,000 106 dialect per 10,000 time 48 author per 10,000 18 dialect per 10,000 be 43 author per 10,000 48 dialect per 10,000 noo 43 author per 10,000 14 dialect per 10,000 day 39 author per 10,000 14 dialect per 10,000 fit 39 author per 10,000 2 dialect per 10,000 wid 39 author per 10,000 8 dialect per 10,000 if 39 author per 10,000 17 dialect per 10,000 my 39 author per 10,000 6 dialect per 10,000 cos 35 author per 10,000 1 dialect per 10,000 folk 35 author per 10,000 5 dialect per 10,000 at 35 author per 10,000 59 dialect per 10,000 got 35 author per 10,000 11 dialect per 10,000 their 35 author per 10,000 19 dialect per 10,000 guid 35 author per 10,000 11 dialect per 10,000 some 30 author per 10,000 13 dialect per 10,000 gan 30 author per 10,000 1 dialect per 10,000 only 30 author per 10,000 6 dialect per 10,000 fer 30 author per 10,000 4 dialect per 10,000 by 30 author per 10,000 17 dialect per 10,000 fae 30 author per 10,000 26 dialect per 10,000 get 30 author per 10,000 14 dialect per 10,000 were 30 author per 10,000 15 dialect per 10,000 an 30 author per 10,000 225 dialect per 10,000 i 30 author per 10,000 39 dialect per 10,000 ivery 30 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 new 26 author per 10,000 7 dialect per 10,000 mony 26 author per 10,000 4 dialect per 10,000 ere 26 author per 10,000 0 dialect per 10,000 like 26 author per 10,000 28 dialect per 10,000 stuff 26 author per 10,000 2 dialect per 10,000 teen 26 author per 10,000 0 dialect per 10,000 same 26 author per 10,000 6 dialect per 10,000 shop 26 author per 10,000 1 dialect per 10,000 abody 26 author per 10,000 0 dialect per 10,000 afore 26 author per 10,000 10 dialect per 10,000 ithers 26 author per 10,000 2 dialect per 10,000 warm 26 author per 10,000 1 dialect per 10,000 buy 26 author per 10,000 1 dialect per 10,000 while 26 author per 10,000 5 dialect per 10,000 mum 26 author per 10,000 1 dialect per 10,000 hiv 26 author per 10,000 2 dialect per 10,000 intae 26 author per 10,000 18 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 51 dialect per 10,000 hae 22 author per 10,000 23 dialect per 10,000 could 22 author per 10,000 9 dialect per 10,000 came 22 author per 10,000 3 dialect per 10,000 toon 22 author per 10,000 1 dialect per 10,000 back 22 author per 10,000 20 dialect per 10,000 are 22 author per 10,000 17 dialect per 10,000 made 22 author per 10,000 7 dialect per 10,000 doon 22 author per 10,000 18 dialect per 10,000 'at 22 author per 10,000 0 dialect per 10,000 up 22 author per 10,000 40 dialect per 10,000 fine 22 author per 10,000 3 dialect per 10,000 used 22 author per 10,000 2 dialect per 10,000 rolls 22 author per 10,000 0 dialect per 10,000 it's 22 author per 10,000 17 dialect per 10,000 even 22 author per 10,000 9 dialect per 10,000 car 22 author per 10,000 1 dialect per 10,000 is 17 author per 10,000 58 dialect per 10,000 box 17 author per 10,000 1 dialect per 10,000 they're 17 author per 10,000 3 dialect per 10,000 and 17 author per 10,000 94 dialect per 10,000 turned 17 author per 10,000 1 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 0 dialect per 10,000 athing 17 author per 10,000 0 dialect per 10,000 nicht 17 author per 10,000 6 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 0 dialect per 10,000 pit 17 author per 10,000 9 dialect per 10,000 road 17 author per 10,000 4 dialect per 10,000 eence 17 author per 10,000 0 dialect per 10,000 han' 17 author per 10,000 0 dialect per 10,000 pan 17 author per 10,000 0 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 0 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 7 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 9 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 41 dialect per 10,000 keep 17 author per 10,000 5 dialect per 10,000 under 17 author per 10,000 1 dialect per 10,000 she 17 author per 10,000 56 dialect per 10,000 sign 17 author per 10,000 1 dialect per 10,000 loons 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 6 dialect per 10,000 cars 17 author per 10,000 0 dialect per 10,000 lot 17 author per 10,000 2 dialect per 10,000 een 17 author per 10,000 5 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 1 dialect per 10,000 bug 13 author per 10,000 0 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 1 dialect per 10,000 test 13 author per 10,000 1 dialect per 10,000 twa 13 author per 10,000 10 dialect per 10,000 ging 13 author per 10,000 0 dialect per 10,000 best 13 author per 10,000 4 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 19 dialect per 10,000 fa 13 author per 10,000 0 dialect per 10,000 bin 13 author per 10,000 1 dialect per 10,000 thing 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 dee 13 author per 10,000 1 dialect per 10,000 use 13 author per 10,000 1 dialect per 10,000 can 13 author per 10,000 14 dialect per 10,000 so 13 author per 10,000 10 dialect per 10,000 fitiver 13 author per 10,000 0 dialect per 10,000 kept 13 author per 10,000 2 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 6 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 8 dialect per 10,000 past 13 author per 10,000 3 dialect per 10,000 black 13 author per 10,000 2 dialect per 10,000 tin 13 author per 10,000 1 dialect per 10,000 days 13 author per 10,000 5 dialect per 10,000 fu' 13 author per 10,000 0 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 will 13 author per 10,000 10 dialect per 10,000 near 13 author per 10,000 3 dialect per 10,000 his 13 author per 10,000 59 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 didna 13 author per 10,000 4 dialect per 10,000 ma's 13 author per 10,000 0 dialect per 10,000 wi 13 author per 10,000 67 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 2 dialect per 10,000 aff 13 author per 10,000 14 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 0 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 10 dialect per 10,000 mair 13 author per 10,000 20 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 7 dialect per 10,000 dad 13 author per 10,000 1 dialect per 10,000 aboot 13 author per 10,000 29 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 0 dialect per 10,000 held 9 author per 10,000 1 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 0 dialect per 10,000 smell 9 author per 10,000 1 dialect per 10,000 kelly 9 author per 10,000 1 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 0 dialect per 10,000 cast 9 author per 10,000 1 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 0 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 1 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 1 dialect per 10,000 aroon 9 author per 10,000 1 dialect per 10,000 till 9 author per 10,000 3 dialect per 10,000 niver 9 author per 10,000 2 dialect per 10,000 		Doric
the 498 author per 10,000 452 dialect per 10,000 a 303 author per 10,000 315 dialect per 10,000 tae 277 author per 10,000 171 dialect per 10,000 an' 208 author per 10,000 2 dialect per 10,000 yer 186 author per 10,000 35 dialect per 10,000 ye 186 author per 10,000 93 dialect per 10,000 in 182 author per 10,000 130 dialect per 10,000 wis 173 author per 10,000 105 dialect per 10,000 o' 169 author per 10,000 5 dialect per 10,000 it 108 author per 10,000 99 dialect per 10,000 a' 100 author per 10,000 1 dialect per 10,000 on 95 author per 10,000 67 dialect per 10,000 wi' 87 author per 10,000 3 dialect per 10,000 fan 82 author per 10,000 17 dialect per 10,000 we 74 author per 10,000 33 dialect per 10,000 for 74 author per 10,000 45 dialect per 10,000 as 74 author per 10,000 52 dialect per 10,000 or 69 author per 10,000 26 dialect per 10,000 hid 69 author per 10,000 34 dialect per 10,000 bit 69 author per 10,000 43 dialect per 10,000 they 65 author per 10,000 36 dialect per 10,000 nae 65 author per 10,000 50 dialect per 10,000 wir 61 author per 10,000 5 dialect per 10,000 oot 61 author per 10,000 50 dialect per 10,000 jist 61 author per 10,000 36 dialect per 10,000 that 52 author per 10,000 53 dialect per 10,000 time 48 author per 10,000 19 dialect per 10,000 be 43 author per 10,000 45 dialect per 10,000 noo 43 author per 10,000 23 dialect per 10,000 day 39 author per 10,000 26 dialect per 10,000 fit 39 author per 10,000 40 dialect per 10,000 wid 39 author per 10,000 18 dialect per 10,000 if 39 author per 10,000 16 dialect per 10,000 my 39 author per 10,000 11 dialect per 10,000 cos 35 author per 10,000 1 dialect per 10,000 folk 35 author per 10,000 4 dialect per 10,000 at 35 author per 10,000 68 dialect per 10,000 got 35 author per 10,000 14 dialect per 10,000 their 35 author per 10,000 19 dialect per 10,000 guid 35 author per 10,000 4 dialect per 10,000 some 30 author per 10,000 13 dialect per 10,000 gan 30 author per 10,000 5 dialect per 10,000 only 30 author per 10,000 6 dialect per 10,000 fer 30 author per 10,000 3 dialect per 10,000 by 30 author per 10,000 9 dialect per 10,000 fae 30 author per 10,000 30 dialect per 10,000 get 30 author per 10,000 16 dialect per 10,000 were 30 author per 10,000 13 dialect per 10,000 an 30 author per 10,000 306 dialect per 10,000 i 30 author per 10,000 68 dialect per 10,000 ivery 30 author per 10,000 1 dialect per 10,000 then 26 author per 10,000 9 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 new 26 author per 10,000 6 dialect per 10,000 mony 26 author per 10,000 4 dialect per 10,000 ere 26 author per 10,000 5 dialect per 10,000 like 26 author per 10,000 37 dialect per 10,000 stuff 26 author per 10,000 2 dialect per 10,000 teen 26 author per 10,000 7 dialect per 10,000 same 26 author per 10,000 5 dialect per 10,000 shop 26 author per 10,000 1 dialect per 10,000 abody 26 author per 10,000 1 dialect per 10,000 afore 26 author per 10,000 14 dialect per 10,000 ithers 26 author per 10,000 1 dialect per 10,000 warm 26 author per 10,000 2 dialect per 10,000 buy 26 author per 10,000 1 dialect per 10,000 while 26 author per 10,000 2 dialect per 10,000 mum 26 author per 10,000 0 dialect per 10,000 hiv 26 author per 10,000 9 dialect per 10,000 intae 26 author per 10,000 10 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 50 dialect per 10,000 hae 22 author per 10,000 20 dialect per 10,000 could 22 author per 10,000 8 dialect per 10,000 came 22 author per 10,000 4 dialect per 10,000 toon 22 author per 10,000 4 dialect per 10,000 back 22 author per 10,000 21 dialect per 10,000 are 22 author per 10,000 13 dialect per 10,000 made 22 author per 10,000 8 dialect per 10,000 doon 22 author per 10,000 33 dialect per 10,000 'at 22 author per 10,000 3 dialect per 10,000 up 22 author per 10,000 47 dialect per 10,000 fine 22 author per 10,000 11 dialect per 10,000 used 22 author per 10,000 1 dialect per 10,000 rolls 22 author per 10,000 0 dialect per 10,000 it's 22 author per 10,000 19 dialect per 10,000 even 22 author per 10,000 6 dialect per 10,000 car 22 author per 10,000 3 dialect per 10,000 is 17 author per 10,000 39 dialect per 10,000 box 17 author per 10,000 1 dialect per 10,000 they're 17 author per 10,000 2 dialect per 10,000 and 17 author per 10,000 41 dialect per 10,000 turned 17 author per 10,000 2 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 1 dialect per 10,000 athing 17 author per 10,000 1 dialect per 10,000 nicht 17 author per 10,000 12 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 8 dialect per 10,000 pit 17 author per 10,000 9 dialect per 10,000 road 17 author per 10,000 4 dialect per 10,000 eence 17 author per 10,000 5 dialect per 10,000 han' 17 author per 10,000 0 dialect per 10,000 pan 17 author per 10,000 0 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 1 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 10 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 7 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 19 dialect per 10,000 keep 17 author per 10,000 4 dialect per 10,000 under 17 author per 10,000 1 dialect per 10,000 she 17 author per 10,000 66 dialect per 10,000 sign 17 author per 10,000 2 dialect per 10,000 loons 17 author per 10,000 2 dialect per 10,000 through 17 author per 10,000 3 dialect per 10,000 cars 17 author per 10,000 1 dialect per 10,000 lot 17 author per 10,000 3 dialect per 10,000 een 17 author per 10,000 19 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 2 dialect per 10,000 bug 13 author per 10,000 1 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 1 dialect per 10,000 test 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 18 dialect per 10,000 ging 13 author per 10,000 4 dialect per 10,000 best 13 author per 10,000 4 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 30 dialect per 10,000 fa 13 author per 10,000 9 dialect per 10,000 bin 13 author per 10,000 8 dialect per 10,000 thing 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 8 dialect per 10,000 dee 13 author per 10,000 10 dialect per 10,000 use 13 author per 10,000 2 dialect per 10,000 can 13 author per 10,000 12 dialect per 10,000 so 13 author per 10,000 17 dialect per 10,000 fitiver 13 author per 10,000 1 dialect per 10,000 kept 13 author per 10,000 2 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 14 dialect per 10,000 past 13 author per 10,000 2 dialect per 10,000 black 13 author per 10,000 3 dialect per 10,000 tin 13 author per 10,000 1 dialect per 10,000 days 13 author per 10,000 5 dialect per 10,000 fu' 13 author per 10,000 0 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 will 13 author per 10,000 9 dialect per 10,000 near 13 author per 10,000 6 dialect per 10,000 his 13 author per 10,000 69 dialect per 10,000 though 13 author per 10,000 3 dialect per 10,000 didna 13 author per 10,000 11 dialect per 10,000 ma's 13 author per 10,000 0 dialect per 10,000 wi 13 author per 10,000 77 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 14 dialect per 10,000 aff 13 author per 10,000 14 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 0 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 13 dialect per 10,000 mair 13 author per 10,000 17 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 8 dialect per 10,000 dad 13 author per 10,000 1 dialect per 10,000 aboot 13 author per 10,000 33 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 1 dialect per 10,000 held 9 author per 10,000 3 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 3 dialect per 10,000 smell 9 author per 10,000 1 dialect per 10,000 kelly 9 author per 10,000 0 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 1 dialect per 10,000 cast 9 author per 10,000 1 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 1 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 1 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 2 dialect per 10,000 aroon 9 author per 10,000 4 dialect per 10,000 till 9 author per 10,000 27 dialect per 10,000 niver 9 author per 10,000 4 dialect per 10,000
Shetland
the 498 author per 10,000 18 dialect per 10,000 a 303 author per 10,000 280 dialect per 10,000 tae 277 author per 10,000 86 dialect per 10,000 an' 208 author per 10,000 1 dialect per 10,000 yer 186 author per 10,000 0 dialect per 10,000 ye 186 author per 10,000 0 dialect per 10,000 in 182 author per 10,000 105 dialect per 10,000 wis 173 author per 10,000 162 dialect per 10,000 o' 169 author per 10,000 0 dialect per 10,000 it 108 author per 10,000 58 dialect per 10,000 a' 100 author per 10,000 0 dialect per 10,000 on 95 author per 10,000 52 dialect per 10,000 wi' 87 author per 10,000 0 dialect per 10,000 fan 82 author per 10,000 6 dialect per 10,000 we 74 author per 10,000 44 dialect per 10,000 for 74 author per 10,000 35 dialect per 10,000 as 74 author per 10,000 79 dialect per 10,000 or 69 author per 10,000 32 dialect per 10,000 hid 69 author per 10,000 1 dialect per 10,000 bit 69 author per 10,000 38 dialect per 10,000 they 65 author per 10,000 2 dialect per 10,000 nae 65 author per 10,000 23 dialect per 10,000 wir 61 author per 10,000 50 dialect per 10,000 oot 61 author per 10,000 42 dialect per 10,000 jist 61 author per 10,000 0 dialect per 10,000 that 52 author per 10,000 4 dialect per 10,000 time 48 author per 10,000 21 dialect per 10,000 be 43 author per 10,000 56 dialect per 10,000 noo 43 author per 10,000 19 dialect per 10,000 day 39 author per 10,000 18 dialect per 10,000 fit 39 author per 10,000 4 dialect per 10,000 wid 39 author per 10,000 38 dialect per 10,000 if 39 author per 10,000 25 dialect per 10,000 my 39 author per 10,000 23 dialect per 10,000 cos 35 author per 10,000 0 dialect per 10,000 folk 35 author per 10,000 1 dialect per 10,000 at 35 author per 10,000 112 dialect per 10,000 got 35 author per 10,000 8 dialect per 10,000 their 35 author per 10,000 1 dialect per 10,000 guid 35 author per 10,000 12 dialect per 10,000 some 30 author per 10,000 13 dialect per 10,000 gan 30 author per 10,000 0 dialect per 10,000 only 30 author per 10,000 5 dialect per 10,000 fer 30 author per 10,000 0 dialect per 10,000 by 30 author per 10,000 7 dialect per 10,000 fae 30 author per 10,000 40 dialect per 10,000 get 30 author per 10,000 6 dialect per 10,000 were 30 author per 10,000 3 dialect per 10,000 an 30 author per 10,000 330 dialect per 10,000 i 30 author per 10,000 143 dialect per 10,000 ivery 30 author per 10,000 2 dialect per 10,000 then 26 author per 10,000 1 dialect per 10,000 paper 26 author per 10,000 1 dialect per 10,000 new 26 author per 10,000 8 dialect per 10,000 mony 26 author per 10,000 4 dialect per 10,000 ere 26 author per 10,000 0 dialect per 10,000 like 26 author per 10,000 2 dialect per 10,000 stuff 26 author per 10,000 1 dialect per 10,000 teen 26 author per 10,000 0 dialect per 10,000 same 26 author per 10,000 0 dialect per 10,000 shop 26 author per 10,000 2 dialect per 10,000 abody 26 author per 10,000 0 dialect per 10,000 afore 26 author per 10,000 15 dialect per 10,000 ithers 26 author per 10,000 0 dialect per 10,000 warm 26 author per 10,000 1 dialect per 10,000 buy 26 author per 10,000 1 dialect per 10,000 while 26 author per 10,000 4 dialect per 10,000 mum 26 author per 10,000 0 dialect per 10,000 hiv 26 author per 10,000 1 dialect per 10,000 intae 26 author per 10,000 8 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 0 dialect per 10,000 hae 22 author per 10,000 25 dialect per 10,000 could 22 author per 10,000 12 dialect per 10,000 came 22 author per 10,000 0 dialect per 10,000 toon 22 author per 10,000 3 dialect per 10,000 back 22 author per 10,000 18 dialect per 10,000 are 22 author per 10,000 2 dialect per 10,000 made 22 author per 10,000 1 dialect per 10,000 doon 22 author per 10,000 22 dialect per 10,000 'at 22 author per 10,000 0 dialect per 10,000 up 22 author per 10,000 42 dialect per 10,000 fine 22 author per 10,000 7 dialect per 10,000 used 22 author per 10,000 2 dialect per 10,000 rolls 22 author per 10,000 0 dialect per 10,000 it's 22 author per 10,000 8 dialect per 10,000 even 22 author per 10,000 10 dialect per 10,000 car 22 author per 10,000 1 dialect per 10,000 is 17 author per 10,000 81 dialect per 10,000 box 17 author per 10,000 2 dialect per 10,000 they're 17 author per 10,000 0 dialect per 10,000 and 17 author per 10,000 15 dialect per 10,000 turned 17 author per 10,000 3 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 0 dialect per 10,000 athing 17 author per 10,000 0 dialect per 10,000 nicht 17 author per 10,000 3 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 4 dialect per 10,000 pit 17 author per 10,000 6 dialect per 10,000 road 17 author per 10,000 0 dialect per 10,000 eence 17 author per 10,000 2 dialect per 10,000 han' 17 author per 10,000 0 dialect per 10,000 pan 17 author per 10,000 1 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 1 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 8 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 10 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 1 dialect per 10,000 keep 17 author per 10,000 5 dialect per 10,000 under 17 author per 10,000 2 dialect per 10,000 she 17 author per 10,000 7 dialect per 10,000 sign 17 author per 10,000 1 dialect per 10,000 loons 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 0 dialect per 10,000 cars 17 author per 10,000 1 dialect per 10,000 lot 17 author per 10,000 1 dialect per 10,000 een 17 author per 10,000 20 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 2 dialect per 10,000 bug 13 author per 10,000 0 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 1 dialect per 10,000 test 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 13 dialect per 10,000 ging 13 author per 10,000 1 dialect per 10,000 best 13 author per 10,000 6 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 24 dialect per 10,000 fa 13 author per 10,000 0 dialect per 10,000 bin 13 author per 10,000 0 dialect per 10,000 thing 13 author per 10,000 6 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 dee 13 author per 10,000 21 dialect per 10,000 use 13 author per 10,000 1 dialect per 10,000 can 13 author per 10,000 20 dialect per 10,000 so 13 author per 10,000 26 dialect per 10,000 fitiver 13 author per 10,000 0 dialect per 10,000 kept 13 author per 10,000 1 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 0 dialect per 10,000 door 13 author per 10,000 7 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 0 dialect per 10,000 past 13 author per 10,000 3 dialect per 10,000 black 13 author per 10,000 3 dialect per 10,000 tin 13 author per 10,000 0 dialect per 10,000 days 13 author per 10,000 3 dialect per 10,000 fu' 13 author per 10,000 0 dialect per 10,000 really 13 author per 10,000 2 dialect per 10,000 will 13 author per 10,000 9 dialect per 10,000 near 13 author per 10,000 2 dialect per 10,000 his 13 author per 10,000 52 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 didna 13 author per 10,000 10 dialect per 10,000 ma's 13 author per 10,000 0 dialect per 10,000 wi 13 author per 10,000 95 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 5 dialect per 10,000 aff 13 author per 10,000 18 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 2 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 11 dialect per 10,000 mair 13 author per 10,000 19 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 13 dialect per 10,000 dad 13 author per 10,000 2 dialect per 10,000 aboot 13 author per 10,000 41 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 0 dialect per 10,000 held 9 author per 10,000 2 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 0 dialect per 10,000 smell 9 author per 10,000 1 dialect per 10,000 kelly 9 author per 10,000 0 dialect per 10,000 watter 9 author per 10,000 3 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 2 dialect per 10,000 cast 9 author per 10,000 1 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 1 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 1 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 0 dialect per 10,000 aroon 9 author per 10,000 1 dialect per 10,000 till 9 author per 10,000 7 dialect per 10,000 niver 9 author per 10,000 2 dialect per 10,000 		Orkney
the 498 author per 10,000 582 dialect per 10,000 a 303 author per 10,000 298 dialect per 10,000 tae 277 author per 10,000 223 dialect per 10,000 an' 208 author per 10,000 0 dialect per 10,000 yer 186 author per 10,000 7 dialect per 10,000 ye 186 author per 10,000 17 dialect per 10,000 in 182 author per 10,000 146 dialect per 10,000 wis 173 author per 10,000 80 dialect per 10,000 o' 169 author per 10,000 6 dialect per 10,000 it 108 author per 10,000 23 dialect per 10,000 a' 100 author per 10,000 0 dialect per 10,000 on 95 author per 10,000 73 dialect per 10,000 wi' 87 author per 10,000 0 dialect per 10,000 fan 82 author per 10,000 0 dialect per 10,000 we 74 author per 10,000 29 dialect per 10,000 for 74 author per 10,000 26 dialect per 10,000 as 74 author per 10,000 48 dialect per 10,000 or 69 author per 10,000 30 dialect per 10,000 hid 69 author per 10,000 91 dialect per 10,000 bit 69 author per 10,000 48 dialect per 10,000 they 65 author per 10,000 37 dialect per 10,000 nae 65 author per 10,000 3 dialect per 10,000 wir 61 author per 10,000 27 dialect per 10,000 oot 61 author per 10,000 50 dialect per 10,000 jist 61 author per 10,000 3 dialect per 10,000 that 52 author per 10,000 75 dialect per 10,000 time 48 author per 10,000 18 dialect per 10,000 be 43 author per 10,000 42 dialect per 10,000 noo 43 author per 10,000 27 dialect per 10,000 day 39 author per 10,000 20 dialect per 10,000 fit 39 author per 10,000 1 dialect per 10,000 wid 39 author per 10,000 20 dialect per 10,000 if 39 author per 10,000 15 dialect per 10,000 my 39 author per 10,000 5 dialect per 10,000 cos 35 author per 10,000 0 dialect per 10,000 folk 35 author per 10,000 9 dialect per 10,000 at 35 author per 10,000 54 dialect per 10,000 got 35 author per 10,000 11 dialect per 10,000 their 35 author per 10,000 8 dialect per 10,000 guid 35 author per 10,000 2 dialect per 10,000 some 30 author per 10,000 17 dialect per 10,000 gan 30 author per 10,000 2 dialect per 10,000 only 30 author per 10,000 7 dialect per 10,000 fer 30 author per 10,000 11 dialect per 10,000 by 30 author per 10,000 16 dialect per 10,000 fae 30 author per 10,000 39 dialect per 10,000 get 30 author per 10,000 9 dialect per 10,000 were 30 author per 10,000 6 dialect per 10,000 an 30 author per 10,000 172 dialect per 10,000 i 30 author per 10,000 158 dialect per 10,000 ivery 30 author per 10,000 1 dialect per 10,000 then 26 author per 10,000 18 dialect per 10,000 paper 26 author per 10,000 2 dialect per 10,000 new 26 author per 10,000 10 dialect per 10,000 mony 26 author per 10,000 1 dialect per 10,000 ere 26 author per 10,000 0 dialect per 10,000 like 26 author per 10,000 31 dialect per 10,000 stuff 26 author per 10,000 1 dialect per 10,000 teen 26 author per 10,000 1 dialect per 10,000 same 26 author per 10,000 3 dialect per 10,000 shop 26 author per 10,000 2 dialect per 10,000 abody 26 author per 10,000 0 dialect per 10,000 afore 26 author per 10,000 12 dialect per 10,000 ithers 26 author per 10,000 1 dialect per 10,000 warm 26 author per 10,000 4 dialect per 10,000 buy 26 author per 10,000 1 dialect per 10,000 while 26 author per 10,000 6 dialect per 10,000 mum 26 author per 10,000 0 dialect per 10,000 hiv 26 author per 10,000 13 dialect per 10,000 intae 26 author per 10,000 18 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 1 dialect per 10,000 hae 22 author per 10,000 11 dialect per 10,000 could 22 author per 10,000 13 dialect per 10,000 came 22 author per 10,000 1 dialect per 10,000 toon 22 author per 10,000 4 dialect per 10,000 back 22 author per 10,000 26 dialect per 10,000 are 22 author per 10,000 14 dialect per 10,000 made 22 author per 10,000 3 dialect per 10,000 doon 22 author per 10,000 28 dialect per 10,000 'at 22 author per 10,000 0 dialect per 10,000 up 22 author per 10,000 34 dialect per 10,000 fine 22 author per 10,000 7 dialect per 10,000 used 22 author per 10,000 2 dialect per 10,000 rolls 22 author per 10,000 1 dialect per 10,000 it's 22 author per 10,000 4 dialect per 10,000 even 22 author per 10,000 6 dialect per 10,000 car 22 author per 10,000 2 dialect per 10,000 is 17 author per 10,000 71 dialect per 10,000 box 17 author per 10,000 2 dialect per 10,000 they're 17 author per 10,000 3 dialect per 10,000 and 17 author per 10,000 199 dialect per 10,000 turned 17 author per 10,000 3 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 0 dialect per 10,000 athing 17 author per 10,000 0 dialect per 10,000 nicht 17 author per 10,000 0 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 0 dialect per 10,000 pit 17 author per 10,000 5 dialect per 10,000 road 17 author per 10,000 5 dialect per 10,000 eence 17 author per 10,000 0 dialect per 10,000 han' 17 author per 10,000 0 dialect per 10,000 pan 17 author per 10,000 0 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 1 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 11 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 7 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 34 dialect per 10,000 keep 17 author per 10,000 7 dialect per 10,000 under 17 author per 10,000 3 dialect per 10,000 she 17 author per 10,000 9 dialect per 10,000 sign 17 author per 10,000 2 dialect per 10,000 loons 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 9 dialect per 10,000 cars 17 author per 10,000 0 dialect per 10,000 lot 17 author per 10,000 3 dialect per 10,000 een 17 author per 10,000 4 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 1 dialect per 10,000 bug 13 author per 10,000 0 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 0 dialect per 10,000 test 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 10 dialect per 10,000 ging 13 author per 10,000 0 dialect per 10,000 best 13 author per 10,000 6 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 18 dialect per 10,000 fa 13 author per 10,000 0 dialect per 10,000 bin 13 author per 10,000 0 dialect per 10,000 thing 13 author per 10,000 7 dialect per 10,000 seen 13 author per 10,000 6 dialect per 10,000 dee 13 author per 10,000 1 dialect per 10,000 use 13 author per 10,000 2 dialect per 10,000 can 13 author per 10,000 13 dialect per 10,000 so 13 author per 10,000 30 dialect per 10,000 fitiver 13 author per 10,000 0 dialect per 10,000 kept 13 author per 10,000 1 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 1 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 0 dialect per 10,000 past 13 author per 10,000 3 dialect per 10,000 black 13 author per 10,000 6 dialect per 10,000 tin 13 author per 10,000 0 dialect per 10,000 days 13 author per 10,000 5 dialect per 10,000 fu' 13 author per 10,000 0 dialect per 10,000 really 13 author per 10,000 4 dialect per 10,000 will 13 author per 10,000 12 dialect per 10,000 near 13 author per 10,000 5 dialect per 10,000 his 13 author per 10,000 61 dialect per 10,000 though 13 author per 10,000 4 dialect per 10,000 didna 13 author per 10,000 8 dialect per 10,000 ma's 13 author per 10,000 0 dialect per 10,000 wi 13 author per 10,000 46 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 4 dialect per 10,000 aff 13 author per 10,000 8 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 0 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 1 dialect per 10,000 mair 13 author per 10,000 1 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 2 dialect per 10,000 dad 13 author per 10,000 1 dialect per 10,000 aboot 13 author per 10,000 26 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 1 dialect per 10,000 held 9 author per 10,000 1 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 0 dialect per 10,000 smell 9 author per 10,000 2 dialect per 10,000 kelly 9 author per 10,000 0 dialect per 10,000 watter 9 author per 10,000 4 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 2 dialect per 10,000 cast 9 author per 10,000 1 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 1 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 1 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 1 dialect per 10,000 aroon 9 author per 10,000 2 dialect per 10,000 till 9 author per 10,000 8 dialect per 10,000 niver 9 author per 10,000 2 dialect per 10,000
Southern
the 498 author per 10,000 449 dialect per 10,000 a 303 author per 10,000 230 dialect per 10,000 tae 277 author per 10,000 206 dialect per 10,000 an' 208 author per 10,000 1 dialect per 10,000 yer 186 author per 10,000 17 dialect per 10,000 ye 186 author per 10,000 21 dialect per 10,000 in 182 author per 10,000 107 dialect per 10,000 wis 173 author per 10,000 54 dialect per 10,000 o' 169 author per 10,000 14 dialect per 10,000 it 108 author per 10,000 63 dialect per 10,000 a' 100 author per 10,000 9 dialect per 10,000 on 95 author per 10,000 55 dialect per 10,000 wi' 87 author per 10,000 5 dialect per 10,000 fan 82 author per 10,000 2 dialect per 10,000 we 74 author per 10,000 10 dialect per 10,000 for 74 author per 10,000 22 dialect per 10,000 as 74 author per 10,000 50 dialect per 10,000 or 69 author per 10,000 22 dialect per 10,000 hid 69 author per 10,000 0 dialect per 10,000 bit 69 author per 10,000 14 dialect per 10,000 they 65 author per 10,000 31 dialect per 10,000 nae 65 author per 10,000 25 dialect per 10,000 wir 61 author per 10,000 1 dialect per 10,000 oot 61 author per 10,000 34 dialect per 10,000 jist 61 author per 10,000 11 dialect per 10,000 that 52 author per 10,000 65 dialect per 10,000 time 48 author per 10,000 14 dialect per 10,000 be 43 author per 10,000 13 dialect per 10,000 noo 43 author per 10,000 16 dialect per 10,000 day 39 author per 10,000 17 dialect per 10,000 fit 39 author per 10,000 5 dialect per 10,000 wid 39 author per 10,000 1 dialect per 10,000 if 39 author per 10,000 17 dialect per 10,000 my 39 author per 10,000 1 dialect per 10,000 cos 35 author per 10,000 2 dialect per 10,000 folk 35 author per 10,000 3 dialect per 10,000 at 35 author per 10,000 69 dialect per 10,000 got 35 author per 10,000 10 dialect per 10,000 their 35 author per 10,000 14 dialect per 10,000 guid 35 author per 10,000 14 dialect per 10,000 some 30 author per 10,000 12 dialect per 10,000 gan 30 author per 10,000 2 dialect per 10,000 only 30 author per 10,000 7 dialect per 10,000 fer 30 author per 10,000 2 dialect per 10,000 by 30 author per 10,000 5 dialect per 10,000 fae 30 author per 10,000 0 dialect per 10,000 get 30 author per 10,000 10 dialect per 10,000 were 30 author per 10,000 15 dialect per 10,000 an 30 author per 10,000 289 dialect per 10,000 i 30 author per 10,000 74 dialect per 10,000 ivery 30 author per 10,000 0 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 paper 26 author per 10,000 1 dialect per 10,000 new 26 author per 10,000 8 dialect per 10,000 mony 26 author per 10,000 3 dialect per 10,000 ere 26 author per 10,000 0 dialect per 10,000 like 26 author per 10,000 8 dialect per 10,000 stuff 26 author per 10,000 1 dialect per 10,000 teen 26 author per 10,000 0 dialect per 10,000 same 26 author per 10,000 6 dialect per 10,000 shop 26 author per 10,000 1 dialect per 10,000 abody 26 author per 10,000 1 dialect per 10,000 afore 26 author per 10,000 16 dialect per 10,000 ithers 26 author per 10,000 2 dialect per 10,000 warm 26 author per 10,000 1 dialect per 10,000 buy 26 author per 10,000 0 dialect per 10,000 while 26 author per 10,000 5 dialect per 10,000 mum 26 author per 10,000 0 dialect per 10,000 hiv 26 author per 10,000 0 dialect per 10,000 intae 26 author per 10,000 10 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 59 dialect per 10,000 hae 22 author per 10,000 35 dialect per 10,000 could 22 author per 10,000 13 dialect per 10,000 came 22 author per 10,000 6 dialect per 10,000 toon 22 author per 10,000 0 dialect per 10,000 back 22 author per 10,000 19 dialect per 10,000 are 22 author per 10,000 9 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 doon 22 author per 10,000 24 dialect per 10,000 'at 22 author per 10,000 0 dialect per 10,000 up 22 author per 10,000 41 dialect per 10,000 fine 22 author per 10,000 1 dialect per 10,000 used 22 author per 10,000 0 dialect per 10,000 rolls 22 author per 10,000 0 dialect per 10,000 it's 22 author per 10,000 8 dialect per 10,000 even 22 author per 10,000 5 dialect per 10,000 car 22 author per 10,000 2 dialect per 10,000 is 17 author per 10,000 62 dialect per 10,000 box 17 author per 10,000 1 dialect per 10,000 they're 17 author per 10,000 3 dialect per 10,000 and 17 author per 10,000 33 dialect per 10,000 turned 17 author per 10,000 2 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 0 dialect per 10,000 athing 17 author per 10,000 0 dialect per 10,000 nicht 17 author per 10,000 8 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 0 dialect per 10,000 pit 17 author per 10,000 2 dialect per 10,000 road 17 author per 10,000 7 dialect per 10,000 eence 17 author per 10,000 0 dialect per 10,000 han' 17 author per 10,000 0 dialect per 10,000 pan 17 author per 10,000 1 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 2 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 20 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 2 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 35 dialect per 10,000 keep 17 author per 10,000 3 dialect per 10,000 under 17 author per 10,000 3 dialect per 10,000 she 17 author per 10,000 91 dialect per 10,000 sign 17 author per 10,000 1 dialect per 10,000 loons 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 2 dialect per 10,000 cars 17 author per 10,000 0 dialect per 10,000 lot 17 author per 10,000 2 dialect per 10,000 een 17 author per 10,000 2 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 2 dialect per 10,000 bug 13 author per 10,000 0 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 0 dialect per 10,000 test 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 2 dialect per 10,000 ging 13 author per 10,000 0 dialect per 10,000 best 13 author per 10,000 4 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 13 dialect per 10,000 fa 13 author per 10,000 1 dialect per 10,000 bin 13 author per 10,000 6 dialect per 10,000 thing 13 author per 10,000 2 dialect per 10,000 seen 13 author per 10,000 5 dialect per 10,000 dee 13 author per 10,000 1 dialect per 10,000 use 13 author per 10,000 0 dialect per 10,000 can 13 author per 10,000 10 dialect per 10,000 so 13 author per 10,000 3 dialect per 10,000 fitiver 13 author per 10,000 0 dialect per 10,000 kept 13 author per 10,000 2 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 0 dialect per 10,000 door 13 author per 10,000 8 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 13 dialect per 10,000 past 13 author per 10,000 2 dialect per 10,000 black 13 author per 10,000 1 dialect per 10,000 tin 13 author per 10,000 0 dialect per 10,000 days 13 author per 10,000 7 dialect per 10,000 fu' 13 author per 10,000 0 dialect per 10,000 really 13 author per 10,000 2 dialect per 10,000 will 13 author per 10,000 3 dialect per 10,000 near 13 author per 10,000 5 dialect per 10,000 his 13 author per 10,000 37 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 didna 13 author per 10,000 2 dialect per 10,000 ma's 13 author per 10,000 0 dialect per 10,000 wi 13 author per 10,000 66 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 2 dialect per 10,000 aff 13 author per 10,000 4 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 0 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 12 dialect per 10,000 mair 13 author per 10,000 16 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 7 dialect per 10,000 dad 13 author per 10,000 0 dialect per 10,000 aboot 13 author per 10,000 29 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 0 dialect per 10,000 held 9 author per 10,000 1 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 0 dialect per 10,000 smell 9 author per 10,000 1 dialect per 10,000 kelly 9 author per 10,000 0 dialect per 10,000 watter 9 author per 10,000 1 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 0 dialect per 10,000 cast 9 author per 10,000 2 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 0 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 1 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 1 dialect per 10,000 aroon 9 author per 10,000 0 dialect per 10,000 till 9 author per 10,000 4 dialect per 10,000 niver 9 author per 10,000 1 dialect per 10,000 		Ulster
the 498 author per 10,000 345 dialect per 10,000 a 303 author per 10,000 287 dialect per 10,000 tae 277 author per 10,000 253 dialect per 10,000 an' 208 author per 10,000 57 dialect per 10,000 yer 186 author per 10,000 37 dialect per 10,000 ye 186 author per 10,000 79 dialect per 10,000 in 182 author per 10,000 121 dialect per 10,000 wis 173 author per 10,000 1 dialect per 10,000 o' 169 author per 10,000 57 dialect per 10,000 it 108 author per 10,000 73 dialect per 10,000 a' 100 author per 10,000 2 dialect per 10,000 on 95 author per 10,000 57 dialect per 10,000 wi' 87 author per 10,000 14 dialect per 10,000 fan 82 author per 10,000 1 dialect per 10,000 we 74 author per 10,000 18 dialect per 10,000 for 74 author per 10,000 30 dialect per 10,000 as 74 author per 10,000 31 dialect per 10,000 or 69 author per 10,000 33 dialect per 10,000 hid 69 author per 10,000 0 dialect per 10,000 bit 69 author per 10,000 10 dialect per 10,000 they 65 author per 10,000 26 dialect per 10,000 nae 65 author per 10,000 22 dialect per 10,000 wir 61 author per 10,000 1 dialect per 10,000 oot 61 author per 10,000 49 dialect per 10,000 jist 61 author per 10,000 8 dialect per 10,000 that 52 author per 10,000 71 dialect per 10,000 time 48 author per 10,000 13 dialect per 10,000 be 43 author per 10,000 39 dialect per 10,000 noo 43 author per 10,000 22 dialect per 10,000 day 39 author per 10,000 15 dialect per 10,000 fit 39 author per 10,000 4 dialect per 10,000 wid 39 author per 10,000 1 dialect per 10,000 if 39 author per 10,000 14 dialect per 10,000 my 39 author per 10,000 2 dialect per 10,000 cos 35 author per 10,000 0 dialect per 10,000 folk 35 author per 10,000 4 dialect per 10,000 at 35 author per 10,000 58 dialect per 10,000 got 35 author per 10,000 9 dialect per 10,000 their 35 author per 10,000 5 dialect per 10,000 guid 35 author per 10,000 17 dialect per 10,000 some 30 author per 10,000 7 dialect per 10,000 gan 30 author per 10,000 6 dialect per 10,000 only 30 author per 10,000 3 dialect per 10,000 fer 30 author per 10,000 31 dialect per 10,000 by 30 author per 10,000 7 dialect per 10,000 fae 30 author per 10,000 13 dialect per 10,000 get 30 author per 10,000 9 dialect per 10,000 were 30 author per 10,000 4 dialect per 10,000 an 30 author per 10,000 358 dialect per 10,000 i 30 author per 10,000 16 dialect per 10,000 ivery 30 author per 10,000 2 dialect per 10,000 then 26 author per 10,000 17 dialect per 10,000 paper 26 author per 10,000 1 dialect per 10,000 new 26 author per 10,000 7 dialect per 10,000 mony 26 author per 10,000 1 dialect per 10,000 ere 26 author per 10,000 0 dialect per 10,000 like 26 author per 10,000 9 dialect per 10,000 stuff 26 author per 10,000 1 dialect per 10,000 teen 26 author per 10,000 0 dialect per 10,000 same 26 author per 10,000 5 dialect per 10,000 shop 26 author per 10,000 0 dialect per 10,000 abody 26 author per 10,000 0 dialect per 10,000 afore 26 author per 10,000 12 dialect per 10,000 ithers 26 author per 10,000 3 dialect per 10,000 warm 26 author per 10,000 0 dialect per 10,000 buy 26 author per 10,000 0 dialect per 10,000 while 26 author per 10,000 5 dialect per 10,000 mum 26 author per 10,000 0 dialect per 10,000 hiv 26 author per 10,000 0 dialect per 10,000 intae 26 author per 10,000 14 dialect per 10,000 iye 26 author per 10,000 0 dialect per 10,000 tho' 22 author per 10,000 0 dialect per 10,000 ma 22 author per 10,000 23 dialect per 10,000 hae 22 author per 10,000 55 dialect per 10,000 could 22 author per 10,000 1 dialect per 10,000 came 22 author per 10,000 2 dialect per 10,000 toon 22 author per 10,000 4 dialect per 10,000 back 22 author per 10,000 2 dialect per 10,000 are 22 author per 10,000 4 dialect per 10,000 made 22 author per 10,000 6 dialect per 10,000 doon 22 author per 10,000 28 dialect per 10,000 'at 22 author per 10,000 6 dialect per 10,000 up 22 author per 10,000 32 dialect per 10,000 fine 22 author per 10,000 1 dialect per 10,000 used 22 author per 10,000 0 dialect per 10,000 rolls 22 author per 10,000 0 dialect per 10,000 it's 22 author per 10,000 14 dialect per 10,000 even 22 author per 10,000 4 dialect per 10,000 car 22 author per 10,000 0 dialect per 10,000 is 17 author per 10,000 18 dialect per 10,000 box 17 author per 10,000 2 dialect per 10,000 they're 17 author per 10,000 1 dialect per 10,000 and 17 author per 10,000 10 dialect per 10,000 turned 17 author per 10,000 1 dialect per 10,000 petrol 17 author per 10,000 0 dialect per 10,000 'em 17 author per 10,000 0 dialect per 10,000 athing 17 author per 10,000 0 dialect per 10,000 nicht 17 author per 10,000 7 dialect per 10,000 apprentice 17 author per 10,000 0 dialect per 10,000 wint 17 author per 10,000 0 dialect per 10,000 pit 17 author per 10,000 11 dialect per 10,000 road 17 author per 10,000 3 dialect per 10,000 eence 17 author per 10,000 0 dialect per 10,000 han' 17 author per 10,000 1 dialect per 10,000 pan 17 author per 10,000 0 dialect per 10,000 baker 17 author per 10,000 0 dialect per 10,000 fresh 17 author per 10,000 0 dialect per 10,000 bakers 17 author per 10,000 0 dialect per 10,000 hoose 17 author per 10,000 14 dialect per 10,000 breed 17 author per 10,000 0 dialect per 10,000 first 17 author per 10,000 2 dialect per 10,000 caper 17 author per 10,000 0 dialect per 10,000 this 17 author per 10,000 27 dialect per 10,000 keep 17 author per 10,000 3 dialect per 10,000 under 17 author per 10,000 0 dialect per 10,000 she 17 author per 10,000 31 dialect per 10,000 sign 17 author per 10,000 1 dialect per 10,000 loons 17 author per 10,000 0 dialect per 10,000 through 17 author per 10,000 3 dialect per 10,000 cars 17 author per 10,000 0 dialect per 10,000 lot 17 author per 10,000 1 dialect per 10,000 een 17 author per 10,000 8 dialect per 10,000 rowies 13 author per 10,000 0 dialect per 10,000 comin' 13 author per 10,000 0 dialect per 10,000 fish 13 author per 10,000 1 dialect per 10,000 bug 13 author per 10,000 0 dialect per 10,000 mint 13 author per 10,000 0 dialect per 10,000 sell 13 author per 10,000 0 dialect per 10,000 test 13 author per 10,000 0 dialect per 10,000 twa 13 author per 10,000 11 dialect per 10,000 ging 13 author per 10,000 0 dialect per 10,000 best 13 author per 10,000 3 dialect per 10,000 playin' 13 author per 10,000 0 dialect per 10,000 souls 13 author per 10,000 0 dialect per 10,000 ower 13 author per 10,000 18 dialect per 10,000 fa 13 author per 10,000 0 dialect per 10,000 bin 13 author per 10,000 8 dialect per 10,000 thing 13 author per 10,000 7 dialect per 10,000 seen 13 author per 10,000 4 dialect per 10,000 dee 13 author per 10,000 1 dialect per 10,000 use 13 author per 10,000 1 dialect per 10,000 can 13 author per 10,000 15 dialect per 10,000 so 13 author per 10,000 5 dialect per 10,000 fitiver 13 author per 10,000 0 dialect per 10,000 kept 13 author per 10,000 1 dialect per 10,000 played 13 author per 10,000 1 dialect per 10,000 pals 13 author per 10,000 0 dialect per 10,000 door 13 author per 10,000 0 dialect per 10,000 eaten 13 author per 10,000 0 dialect per 10,000 thocht 13 author per 10,000 11 dialect per 10,000 past 13 author per 10,000 1 dialect per 10,000 black 13 author per 10,000 0 dialect per 10,000 tin 13 author per 10,000 1 dialect per 10,000 days 13 author per 10,000 5 dialect per 10,000 fu' 13 author per 10,000 1 dialect per 10,000 really 13 author per 10,000 1 dialect per 10,000 will 13 author per 10,000 2 dialect per 10,000 near 13 author per 10,000 4 dialect per 10,000 his 13 author per 10,000 25 dialect per 10,000 though 13 author per 10,000 1 dialect per 10,000 didna 13 author per 10,000 0 dialect per 10,000 ma's 13 author per 10,000 1 dialect per 10,000 wi 13 author per 10,000 63 dialect per 10,000 superstore 13 author per 10,000 0 dialect per 10,000 far 13 author per 10,000 5 dialect per 10,000 aff 13 author per 10,000 14 dialect per 10,000 grub 13 author per 10,000 0 dialect per 10,000 femily 13 author per 10,000 0 dialect per 10,000 kinds 13 author per 10,000 0 dialect per 10,000 sewin 13 author per 10,000 0 dialect per 10,000 lang 13 author per 10,000 12 dialect per 10,000 mair 13 author per 10,000 27 dialect per 10,000 tray 13 author per 10,000 0 dialect per 10,000 ony 13 author per 10,000 1 dialect per 10,000 dad 13 author per 10,000 0 dialect per 10,000 aboot 13 author per 10,000 27 dialect per 10,000 neighbours 13 author per 10,000 0 dialect per 10,000 plastic 13 author per 10,000 0 dialect per 10,000 held 9 author per 10,000 1 dialect per 10,000 perfectly 9 author per 10,000 0 dialect per 10,000 dyin' 9 author per 10,000 0 dialect per 10,000 owned 9 author per 10,000 0 dialect per 10,000 moo 9 author per 10,000 0 dialect per 10,000 smell 9 author per 10,000 0 dialect per 10,000 kelly 9 author per 10,000 0 dialect per 10,000 watter 9 author per 10,000 4 dialect per 10,000 honed 9 author per 10,000 0 dialect per 10,000 bakin' 9 author per 10,000 0 dialect per 10,000 eens 9 author per 10,000 0 dialect per 10,000 cast 9 author per 10,000 2 dialect per 10,000 superstores 9 author per 10,000 0 dialect per 10,000 closed 9 author per 10,000 0 dialect per 10,000 cults 9 author per 10,000 0 dialect per 10,000 merkland 9 author per 10,000 0 dialect per 10,000 doors 9 author per 10,000 0 dialect per 10,000 kennedy's 9 author per 10,000 0 dialect per 10,000 hell 9 author per 10,000 1 dialect per 10,000 aroon 9 author per 10,000 3 dialect per 10,000 till 9 author per 10,000 1 dialect per 10,000 niver 9 author per 10,000 9 dialect per 10,000