A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z List of texts Statistics Top200 Search Compare

. .Previous author - Next author
- basic details - fine grain dialect comparison - punctuation analysis - chronology -

Ullans Speakers Association


Total words by this author in corpus - 955
Total unique words used by this author in corpus - 354
Ratio of total words to unique words - 2.698
Top ten most common words - tha, a, an, wee, tae, o, aa, in, ir, wus,

Word frequency analysis

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

Lallans
tha 639 author per 10,000 0 dialect per 10,000 a 429 author per 10,000 260 dialect per 10,000 an 429 author per 10,000 206 dialect per 10,000 wee 241 author per 10,000 28 dialect per 10,000 tae 230 author per 10,000 221 dialect per 10,000 o 199 author per 10,000 183 dialect per 10,000 aa 157 author per 10,000 8 dialect per 10,000 in 126 author per 10,000 147 dialect per 10,000 ir 105 author per 10,000 2 dialect per 10,000 wus 105 author per 10,000 0 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 8 dialect per 10,000 them 84 author per 10,000 19 dialect per 10,000 yin 84 author per 10,000 9 dialect per 10,000 up 84 author per 10,000 41 dialect per 10,000 doon 84 author per 10,000 18 dialect per 10,000 his 84 author per 10,000 53 dialect per 10,000 went 73 author per 10,000 7 dialect per 10,000 come 73 author per 10,000 9 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 44 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 6 dialect per 10,000 had 63 author per 10,000 26 dialect per 10,000 rin 63 author per 10,000 1 dialect per 10,000 she 63 author per 10,000 63 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 124 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 1 dialect per 10,000 thon 52 author per 10,000 7 dialect per 10,000 het 52 author per 10,000 0 dialect per 10,000 jack 52 author per 10,000 0 dialect per 10,000 simon 52 author per 10,000 0 dialect per 10,000 on 52 author per 10,000 55 dialect per 10,000 ye 52 author per 10,000 58 dialect per 10,000 whun 52 author per 10,000 0 dialect per 10,000 wean 42 author per 10,000 1 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 0 dialect per 10,000 ring 42 author per 10,000 1 dialect per 10,000 mae 42 author per 10,000 0 dialect per 10,000 lamb 42 author per 10,000 0 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 48 dialect per 10,000 that 42 author per 10,000 114 dialect per 10,000 oot 42 author per 10,000 41 dialect per 10,000 oul 42 author per 10,000 0 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 0 dialect per 10,000 i 42 author per 10,000 38 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 27 dialect per 10,000 said 42 author per 10,000 49 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 10 dialect per 10,000 yer 42 author per 10,000 18 dialect per 10,000 tree 42 author per 10,000 1 dialect per 10,000 king 31 author per 10,000 1 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 0 dialect per 10,000 nut 31 author per 10,000 0 dialect per 10,000 sing 31 author per 10,000 1 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 1 dialect per 10,000 aff 31 author per 10,000 14 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 0 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 9 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 19 dialect per 10,000 miss 31 author per 10,000 6 dialect per 10,000 poor 31 author per 10,000 1 dialect per 10,000 sin 31 author per 10,000 1 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 0 dialect per 10,000 paul 31 author per 10,000 0 dialect per 10,000 hir 31 author per 10,000 2 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 1 dialect per 10,000 wae 31 author per 10,000 8 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 0 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 dish 21 author per 10,000 0 dialect per 10,000 hae 21 author per 10,000 21 dialect per 10,000 hey 21 author per 10,000 0 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 1 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 17 dialect per 10,000 know 21 author per 10,000 5 dialect per 10,000 as 21 author per 10,000 60 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 1 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 4 dialect per 10,000 their 21 author per 10,000 18 dialect per 10,000 moose 21 author per 10,000 0 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 4 dialect per 10,000 luk 21 author per 10,000 0 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 2 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 fly 21 author per 10,000 0 dialect per 10,000 john 21 author per 10,000 2 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 birds 21 author per 10,000 0 dialect per 10,000 me 21 author per 10,000 41 dialect per 10,000 mother 21 author per 10,000 0 dialect per 10,000 breid 21 author per 10,000 1 dialect per 10,000 oan 21 author per 10,000 18 dialect per 10,000 whit 21 author per 10,000 29 dialect per 10,000 wha 21 author per 10,000 7 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 93 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 0 dialect per 10,000 dochter 21 author per 10,000 1 dialect per 10,000 sut 21 author per 10,000 1 dialect per 10,000 caa'd 21 author per 10,000 0 dialect per 10,000 waa 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 13 dialect per 10,000 but 21 author per 10,000 47 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 1 dialect per 10,000 dae 21 author per 10,000 18 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 3 dialect per 10,000 sang 21 author per 10,000 2 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 2 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 0 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 11 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 fat 21 author per 10,000 1 dialect per 10,000 see 21 author per 10,000 17 dialect per 10,000 came 21 author per 10,000 3 dialect per 10,000 cud 21 author per 10,000 2 dialect per 10,000 wife 21 author per 10,000 2 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 1 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 1 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 8 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 9 dialect per 10,000 hoo 21 author per 10,000 3 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 0 dialect per 10,000 wunner 21 author per 10,000 1 dialect per 10,000 the 10 author per 10,000 548 dialect per 10,000 think 10 author per 10,000 10 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 1 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 14 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 1 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 1 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 1 dialect per 10,000 opened 10 author per 10,000 1 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 sent 10 author per 10,000 2 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 1 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 1 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 2 dialect per 10,000 bare 10 author per 10,000 0 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 3 dialect per 10,000
Doric
tha 639 author per 10,000 0 dialect per 10,000 a 429 author per 10,000 288 dialect per 10,000 an 429 author per 10,000 318 dialect per 10,000 wee 241 author per 10,000 19 dialect per 10,000 tae 230 author per 10,000 170 dialect per 10,000 o 199 author per 10,000 197 dialect per 10,000 aa 157 author per 10,000 39 dialect per 10,000 in 126 author per 10,000 134 dialect per 10,000 ir 105 author per 10,000 2 dialect per 10,000 wus 105 author per 10,000 0 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 9 dialect per 10,000 them 84 author per 10,000 30 dialect per 10,000 yin 84 author per 10,000 1 dialect per 10,000 up 84 author per 10,000 49 dialect per 10,000 doon 84 author per 10,000 34 dialect per 10,000 his 84 author per 10,000 77 dialect per 10,000 went 73 author per 10,000 4 dialect per 10,000 come 73 author per 10,000 12 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 39 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 6 dialect per 10,000 had 63 author per 10,000 2 dialect per 10,000 rin 63 author per 10,000 2 dialect per 10,000 she 63 author per 10,000 63 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 109 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 1 dialect per 10,000 thon 52 author per 10,000 4 dialect per 10,000 het 52 author per 10,000 2 dialect per 10,000 jack 52 author per 10,000 2 dialect per 10,000 simon 52 author per 10,000 0 dialect per 10,000 on 52 author per 10,000 62 dialect per 10,000 ye 52 author per 10,000 80 dialect per 10,000 whun 52 author per 10,000 0 dialect per 10,000 wean 42 author per 10,000 0 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 1 dialect per 10,000 ring 42 author per 10,000 1 dialect per 10,000 mae 42 author per 10,000 0 dialect per 10,000 lamb 42 author per 10,000 0 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 71 dialect per 10,000 that 42 author per 10,000 57 dialect per 10,000 oot 42 author per 10,000 53 dialect per 10,000 oul 42 author per 10,000 0 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 1 dialect per 10,000 i 42 author per 10,000 51 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 22 dialect per 10,000 said 42 author per 10,000 36 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 22 dialect per 10,000 yer 42 author per 10,000 31 dialect per 10,000 tree 42 author per 10,000 3 dialect per 10,000 king 31 author per 10,000 0 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 2 dialect per 10,000 nut 31 author per 10,000 0 dialect per 10,000 sing 31 author per 10,000 1 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 0 dialect per 10,000 aff 31 author per 10,000 15 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 0 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 20 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 50 dialect per 10,000 miss 31 author per 10,000 3 dialect per 10,000 poor 31 author per 10,000 1 dialect per 10,000 sin 31 author per 10,000 10 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 0 dialect per 10,000 paul 31 author per 10,000 1 dialect per 10,000 hir 31 author per 10,000 0 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 0 dialect per 10,000 wae 31 author per 10,000 0 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 0 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 dish 21 author per 10,000 0 dialect per 10,000 hae 21 author per 10,000 18 dialect per 10,000 hey 21 author per 10,000 1 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 1 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 14 dialect per 10,000 know 21 author per 10,000 0 dialect per 10,000 as 21 author per 10,000 54 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 1 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 1 dialect per 10,000 their 21 author per 10,000 23 dialect per 10,000 moose 21 author per 10,000 0 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 5 dialect per 10,000 luk 21 author per 10,000 0 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 0 dialect per 10,000 wye 21 author per 10,000 13 dialect per 10,000 fly 21 author per 10,000 1 dialect per 10,000 john 21 author per 10,000 1 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 birds 21 author per 10,000 1 dialect per 10,000 me 21 author per 10,000 21 dialect per 10,000 mother 21 author per 10,000 0 dialect per 10,000 breid 21 author per 10,000 0 dialect per 10,000 oan 21 author per 10,000 13 dialect per 10,000 whit 21 author per 10,000 3 dialect per 10,000 wha 21 author per 10,000 1 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 104 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 0 dialect per 10,000 dochter 21 author per 10,000 0 dialect per 10,000 sut 21 author per 10,000 1 dialect per 10,000 caa'd 21 author per 10,000 0 dialect per 10,000 waa 21 author per 10,000 1 dialect per 10,000 got 21 author per 10,000 11 dialect per 10,000 but 21 author per 10,000 14 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 0 dialect per 10,000 dae 21 author per 10,000 4 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 2 dialect per 10,000 sang 21 author per 10,000 1 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 4 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 0 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 2 dialect per 10,000 sae 21 author per 10,000 15 dialect per 10,000 fat 21 author per 10,000 1 dialect per 10,000 see 21 author per 10,000 21 dialect per 10,000 came 21 author per 10,000 5 dialect per 10,000 cud 21 author per 10,000 7 dialect per 10,000 wife 21 author per 10,000 3 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 3 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 3 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 1 dialect per 10,000 hoo 21 author per 10,000 2 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 2 dialect per 10,000 wunner 21 author per 10,000 0 dialect per 10,000 the 10 author per 10,000 525 dialect per 10,000 think 10 author per 10,000 11 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 1 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 13 dialect per 10,000 gane 10 author per 10,000 0 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 1 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 1 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 1 dialect per 10,000 opened 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 sent 10 author per 10,000 2 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 0 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 1 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 1 dialect per 10,000 bare 10 author per 10,000 2 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 2 dialect per 10,000
Shetland
tha 639 author per 10,000 0 dialect per 10,000 a 429 author per 10,000 267 dialect per 10,000 an 429 author per 10,000 342 dialect per 10,000 wee 241 author per 10,000 0 dialect per 10,000 tae 230 author per 10,000 58 dialect per 10,000 o 199 author per 10,000 146 dialect per 10,000 aa 157 author per 10,000 53 dialect per 10,000 in 126 author per 10,000 95 dialect per 10,000 ir 105 author per 10,000 10 dialect per 10,000 wus 105 author per 10,000 0 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 1 dialect per 10,000 them 84 author per 10,000 1 dialect per 10,000 yin 84 author per 10,000 0 dialect per 10,000 up 84 author per 10,000 46 dialect per 10,000 doon 84 author per 10,000 25 dialect per 10,000 his 84 author per 10,000 61 dialect per 10,000 went 73 author per 10,000 0 dialect per 10,000 come 73 author per 10,000 22 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 2 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 1 dialect per 10,000 had 63 author per 10,000 4 dialect per 10,000 rin 63 author per 10,000 0 dialect per 10,000 she 63 author per 10,000 5 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 69 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 1 dialect per 10,000 thon 52 author per 10,000 0 dialect per 10,000 het 52 author per 10,000 0 dialect per 10,000 jack 52 author per 10,000 0 dialect per 10,000 simon 52 author per 10,000 0 dialect per 10,000 on 52 author per 10,000 53 dialect per 10,000 ye 52 author per 10,000 0 dialect per 10,000 whun 52 author per 10,000 0 dialect per 10,000 wean 42 author per 10,000 0 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 0 dialect per 10,000 ring 42 author per 10,000 1 dialect per 10,000 mae 42 author per 10,000 0 dialect per 10,000 lamb 42 author per 10,000 1 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 72 dialect per 10,000 that 42 author per 10,000 5 dialect per 10,000 oot 42 author per 10,000 46 dialect per 10,000 oul 42 author per 10,000 0 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 0 dialect per 10,000 i 42 author per 10,000 162 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 2 dialect per 10,000 said 42 author per 10,000 79 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 14 dialect per 10,000 yer 42 author per 10,000 0 dialect per 10,000 tree 42 author per 10,000 8 dialect per 10,000 king 31 author per 10,000 3 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 2 dialect per 10,000 nut 31 author per 10,000 0 dialect per 10,000 sing 31 author per 10,000 1 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 1 dialect per 10,000 aff 31 author per 10,000 21 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 1 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 10 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 26 dialect per 10,000 miss 31 author per 10,000 1 dialect per 10,000 poor 31 author per 10,000 5 dialect per 10,000 sin 31 author per 10,000 0 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 3 dialect per 10,000 paul 31 author per 10,000 0 dialect per 10,000 hir 31 author per 10,000 0 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 0 dialect per 10,000 wae 31 author per 10,000 0 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 0 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 10 dialect per 10,000 dish 21 author per 10,000 0 dialect per 10,000 hae 21 author per 10,000 24 dialect per 10,000 hey 21 author per 10,000 0 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 1 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 9 dialect per 10,000 know 21 author per 10,000 1 dialect per 10,000 as 21 author per 10,000 78 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 0 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 0 dialect per 10,000 their 21 author per 10,000 1 dialect per 10,000 moose 21 author per 10,000 4 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 13 dialect per 10,000 luk 21 author per 10,000 0 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 0 dialect per 10,000 wye 21 author per 10,000 22 dialect per 10,000 fly 21 author per 10,000 0 dialect per 10,000 john 21 author per 10,000 6 dialect per 10,000 bed 21 author per 10,000 3 dialect per 10,000 birds 21 author per 10,000 2 dialect per 10,000 me 21 author per 10,000 49 dialect per 10,000 mother 21 author per 10,000 1 dialect per 10,000 breid 21 author per 10,000 0 dialect per 10,000 oan 21 author per 10,000 0 dialect per 10,000 whit 21 author per 10,000 41 dialect per 10,000 wha 21 author per 10,000 5 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 129 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 0 dialect per 10,000 dochter 21 author per 10,000 2 dialect per 10,000 sut 21 author per 10,000 0 dialect per 10,000 caa'd 21 author per 10,000 1 dialect per 10,000 waa 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 8 dialect per 10,000 but 21 author per 10,000 29 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 0 dialect per 10,000 dae 21 author per 10,000 1 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 6 dialect per 10,000 sang 21 author per 10,000 2 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 4 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 0 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 14 dialect per 10,000 sae 21 author per 10,000 8 dialect per 10,000 fat 21 author per 10,000 0 dialect per 10,000 see 21 author per 10,000 22 dialect per 10,000 came 21 author per 10,000 1 dialect per 10,000 cud 21 author per 10,000 0 dialect per 10,000 wife 21 author per 10,000 5 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 2 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 0 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 0 dialect per 10,000 hoo 21 author per 10,000 2 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 0 dialect per 10,000 wunner 21 author per 10,000 0 dialect per 10,000 the 10 author per 10,000 26 dialect per 10,000 think 10 author per 10,000 1 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 1 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 14 dialect per 10,000 gane 10 author per 10,000 2 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 1 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 4 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 0 dialect per 10,000 opened 10 author per 10,000 0 dialect per 10,000 fower 10 author per 10,000 3 dialect per 10,000 sent 10 author per 10,000 2 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 0 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 0 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 2 dialect per 10,000 bare 10 author per 10,000 0 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 5 dialect per 10,000
Orkney
tha 639 author per 10,000 0 dialect per 10,000 a 429 author per 10,000 295 dialect per 10,000 an 429 author per 10,000 168 dialect per 10,000 wee 241 author per 10,000 1 dialect per 10,000 tae 230 author per 10,000 224 dialect per 10,000 o 199 author per 10,000 194 dialect per 10,000 aa 157 author per 10,000 10 dialect per 10,000 in 126 author per 10,000 141 dialect per 10,000 ir 105 author per 10,000 2 dialect per 10,000 wus 105 author per 10,000 0 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 2 dialect per 10,000 them 84 author per 10,000 18 dialect per 10,000 yin 84 author per 10,000 2 dialect per 10,000 up 84 author per 10,000 26 dialect per 10,000 doon 84 author per 10,000 25 dialect per 10,000 his 84 author per 10,000 68 dialect per 10,000 went 73 author per 10,000 0 dialect per 10,000 come 73 author per 10,000 10 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 35 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 3 dialect per 10,000 had 63 author per 10,000 3 dialect per 10,000 rin 63 author per 10,000 0 dialect per 10,000 she 63 author per 10,000 7 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 25 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 1 dialect per 10,000 thon 52 author per 10,000 0 dialect per 10,000 het 52 author per 10,000 0 dialect per 10,000 jack 52 author per 10,000 1 dialect per 10,000 simon 52 author per 10,000 0 dialect per 10,000 on 52 author per 10,000 76 dialect per 10,000 ye 52 author per 10,000 15 dialect per 10,000 whun 52 author per 10,000 0 dialect per 10,000 wean 42 author per 10,000 0 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 0 dialect per 10,000 ring 42 author per 10,000 1 dialect per 10,000 mae 42 author per 10,000 0 dialect per 10,000 lamb 42 author per 10,000 0 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 58 dialect per 10,000 that 42 author per 10,000 84 dialect per 10,000 oot 42 author per 10,000 50 dialect per 10,000 oul 42 author per 10,000 0 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 0 dialect per 10,000 i 42 author per 10,000 145 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 20 dialect per 10,000 said 42 author per 10,000 18 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 1 dialect per 10,000 yer 42 author per 10,000 5 dialect per 10,000 tree 42 author per 10,000 1 dialect per 10,000 king 31 author per 10,000 0 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 1 dialect per 10,000 nut 31 author per 10,000 1 dialect per 10,000 sing 31 author per 10,000 1 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 1 dialect per 10,000 aff 31 author per 10,000 10 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 0 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 11 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 3 dialect per 10,000 miss 31 author per 10,000 2 dialect per 10,000 poor 31 author per 10,000 7 dialect per 10,000 sin 31 author per 10,000 0 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 1 dialect per 10,000 paul 31 author per 10,000 0 dialect per 10,000 hir 31 author per 10,000 1 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 0 dialect per 10,000 wae 31 author per 10,000 25 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 0 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 5 dialect per 10,000 dish 21 author per 10,000 1 dialect per 10,000 hae 21 author per 10,000 13 dialect per 10,000 hey 21 author per 10,000 0 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 1 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 11 dialect per 10,000 know 21 author per 10,000 2 dialect per 10,000 as 21 author per 10,000 54 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 0 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 1 dialect per 10,000 their 21 author per 10,000 8 dialect per 10,000 moose 21 author per 10,000 5 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 7 dialect per 10,000 luk 21 author per 10,000 4 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 0 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 fly 21 author per 10,000 0 dialect per 10,000 john 21 author per 10,000 2 dialect per 10,000 bed 21 author per 10,000 7 dialect per 10,000 birds 21 author per 10,000 1 dialect per 10,000 me 21 author per 10,000 102 dialect per 10,000 mother 21 author per 10,000 1 dialect per 10,000 breid 21 author per 10,000 1 dialect per 10,000 oan 21 author per 10,000 2 dialect per 10,000 whit 21 author per 10,000 32 dialect per 10,000 wha 21 author per 10,000 4 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 102 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 0 dialect per 10,000 dochter 21 author per 10,000 0 dialect per 10,000 sut 21 author per 10,000 0 dialect per 10,000 caa'd 21 author per 10,000 1 dialect per 10,000 waa 21 author per 10,000 1 dialect per 10,000 got 21 author per 10,000 13 dialect per 10,000 but 21 author per 10,000 35 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 0 dialect per 10,000 dae 21 author per 10,000 8 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 4 dialect per 10,000 sang 21 author per 10,000 1 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 4 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 0 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 2 dialect per 10,000 sae 21 author per 10,000 1 dialect per 10,000 fat 21 author per 10,000 1 dialect per 10,000 see 21 author per 10,000 15 dialect per 10,000 came 21 author per 10,000 1 dialect per 10,000 cud 21 author per 10,000 0 dialect per 10,000 wife 21 author per 10,000 7 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 1 dialect per 10,000 wull 21 author per 10,000 0 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 2 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 1 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 9 dialect per 10,000 hoo 21 author per 10,000 11 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 1 dialect per 10,000 wunner 21 author per 10,000 0 dialect per 10,000 the 10 author per 10,000 554 dialect per 10,000 think 10 author per 10,000 11 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 2 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 19 dialect per 10,000 gane 10 author per 10,000 0 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 2 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 1 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 1 dialect per 10,000 opened 10 author per 10,000 0 dialect per 10,000 fower 10 author per 10,000 2 dialect per 10,000 sent 10 author per 10,000 2 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 0 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 0 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 0 dialect per 10,000 bare 10 author per 10,000 0 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 4 dialect per 10,000
Southern
tha 639 author per 10,000 0 dialect per 10,000 a 429 author per 10,000 239 dialect per 10,000 an 429 author per 10,000 303 dialect per 10,000 wee 241 author per 10,000 24 dialect per 10,000 tae 230 author per 10,000 206 dialect per 10,000 o 199 author per 10,000 191 dialect per 10,000 aa 157 author per 10,000 12 dialect per 10,000 in 126 author per 10,000 111 dialect per 10,000 ir 105 author per 10,000 8 dialect per 10,000 wus 105 author per 10,000 0 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 6 dialect per 10,000 them 84 author per 10,000 5 dialect per 10,000 yin 84 author per 10,000 23 dialect per 10,000 up 84 author per 10,000 41 dialect per 10,000 doon 84 author per 10,000 25 dialect per 10,000 his 84 author per 10,000 38 dialect per 10,000 went 73 author per 10,000 13 dialect per 10,000 come 73 author per 10,000 8 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 36 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 2 dialect per 10,000 had 63 author per 10,000 2 dialect per 10,000 rin 63 author per 10,000 1 dialect per 10,000 she 63 author per 10,000 77 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 60 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 0 dialect per 10,000 thon 52 author per 10,000 3 dialect per 10,000 het 52 author per 10,000 1 dialect per 10,000 jack 52 author per 10,000 0 dialect per 10,000 simon 52 author per 10,000 0 dialect per 10,000 on 52 author per 10,000 50 dialect per 10,000 ye 52 author per 10,000 31 dialect per 10,000 whun 52 author per 10,000 0 dialect per 10,000 wean 42 author per 10,000 1 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 0 dialect per 10,000 ring 42 author per 10,000 0 dialect per 10,000 mae 42 author per 10,000 1 dialect per 10,000 lamb 42 author per 10,000 0 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 15 dialect per 10,000 that 42 author per 10,000 61 dialect per 10,000 oot 42 author per 10,000 34 dialect per 10,000 oul 42 author per 10,000 0 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 0 dialect per 10,000 i 42 author per 10,000 62 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 16 dialect per 10,000 said 42 author per 10,000 62 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 14 dialect per 10,000 yer 42 author per 10,000 20 dialect per 10,000 tree 42 author per 10,000 2 dialect per 10,000 king 31 author per 10,000 8 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 1 dialect per 10,000 nut 31 author per 10,000 3 dialect per 10,000 sing 31 author per 10,000 2 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 1 dialect per 10,000 aff 31 author per 10,000 6 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 0 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 3 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 26 dialect per 10,000 miss 31 author per 10,000 2 dialect per 10,000 poor 31 author per 10,000 0 dialect per 10,000 sin 31 author per 10,000 6 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 0 dialect per 10,000 paul 31 author per 10,000 0 dialect per 10,000 hir 31 author per 10,000 10 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 2 dialect per 10,000 wae 31 author per 10,000 2 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 1 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 14 dialect per 10,000 dish 21 author per 10,000 0 dialect per 10,000 hae 21 author per 10,000 33 dialect per 10,000 hey 21 author per 10,000 1 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 1 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 11 dialect per 10,000 know 21 author per 10,000 1 dialect per 10,000 as 21 author per 10,000 52 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 2 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 0 dialect per 10,000 their 21 author per 10,000 14 dialect per 10,000 moose 21 author per 10,000 5 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 5 dialect per 10,000 luk 21 author per 10,000 0 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 1 dialect per 10,000 wye 21 author per 10,000 0 dialect per 10,000 fly 21 author per 10,000 1 dialect per 10,000 john 21 author per 10,000 2 dialect per 10,000 bed 21 author per 10,000 1 dialect per 10,000 birds 21 author per 10,000 2 dialect per 10,000 me 21 author per 10,000 13 dialect per 10,000 mother 21 author per 10,000 0 dialect per 10,000 breid 21 author per 10,000 0 dialect per 10,000 oan 21 author per 10,000 41 dialect per 10,000 whit 21 author per 10,000 29 dialect per 10,000 wha 21 author per 10,000 2 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 15 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 0 dialect per 10,000 dochter 21 author per 10,000 1 dialect per 10,000 sut 21 author per 10,000 0 dialect per 10,000 caa'd 21 author per 10,000 1 dialect per 10,000 waa 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 but 21 author per 10,000 39 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 0 dialect per 10,000 dae 21 author per 10,000 13 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 4 dialect per 10,000 sang 21 author per 10,000 2 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 3 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 0 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 12 dialect per 10,000 sae 21 author per 10,000 26 dialect per 10,000 fat 21 author per 10,000 0 dialect per 10,000 see 21 author per 10,000 6 dialect per 10,000 came 21 author per 10,000 6 dialect per 10,000 cud 21 author per 10,000 1 dialect per 10,000 wife 21 author per 10,000 4 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 8 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 0 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 8 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 6 dialect per 10,000 hoo 21 author per 10,000 4 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 1 dialect per 10,000 wunner 21 author per 10,000 1 dialect per 10,000 the 10 author per 10,000 463 dialect per 10,000 think 10 author per 10,000 7 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 3 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 12 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 1 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 1 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 1 dialect per 10,000 opened 10 author per 10,000 2 dialect per 10,000 fower 10 author per 10,000 1 dialect per 10,000 sent 10 author per 10,000 1 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 1 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 1 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 2 dialect per 10,000 bare 10 author per 10,000 1 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 2 dialect per 10,000
Ulster
tha 639 author per 10,000 424 dialect per 10,000 a 429 author per 10,000 292 dialect per 10,000 an 429 author per 10,000 413 dialect per 10,000 wee 241 author per 10,000 25 dialect per 10,000 tae 230 author per 10,000 253 dialect per 10,000 o 199 author per 10,000 249 dialect per 10,000 aa 157 author per 10,000 42 dialect per 10,000 in 126 author per 10,000 102 dialect per 10,000 ir 105 author per 10,000 22 dialect per 10,000 wus 105 author per 10,000 87 dialect per 10,000 diddle 105 author per 10,000 0 dialect per 10,000 made 105 author per 10,000 6 dialect per 10,000 them 84 author per 10,000 6 dialect per 10,000 yin 84 author per 10,000 39 dialect per 10,000 up 84 author per 10,000 35 dialect per 10,000 doon 84 author per 10,000 33 dialect per 10,000 his 84 author per 10,000 21 dialect per 10,000 went 73 author per 10,000 14 dialect per 10,000 come 73 author per 10,000 9 dialect per 10,000 whaut 73 author per 10,000 0 dialect per 10,000 they 73 author per 10,000 23 dialect per 10,000 twinkle 63 author per 10,000 0 dialect per 10,000 three 63 author per 10,000 3 dialect per 10,000 had 63 author per 10,000 17 dialect per 10,000 rin 63 author per 10,000 3 dialect per 10,000 she 63 author per 10,000 16 dialect per 10,000 penny 52 author per 10,000 0 dialect per 10,000 it 52 author per 10,000 78 dialect per 10,000 buns 52 author per 10,000 0 dialect per 10,000 cross 52 author per 10,000 1 dialect per 10,000 thon 52 author per 10,000 17 dialect per 10,000 het 52 author per 10,000 1 dialect per 10,000 jack 52 author per 10,000 0 dialect per 10,000 simon 52 author per 10,000 2 dialect per 10,000 on 52 author per 10,000 66 dialect per 10,000 ye 52 author per 10,000 86 dialect per 10,000 whun 52 author per 10,000 5 dialect per 10,000 wean 42 author per 10,000 4 dialect per 10,000 insy 42 author per 10,000 0 dialect per 10,000 ate 42 author per 10,000 1 dialect per 10,000 ring 42 author per 10,000 0 dialect per 10,000 mae 42 author per 10,000 18 dialect per 10,000 lamb 42 author per 10,000 0 dialect per 10,000 spider 42 author per 10,000 0 dialect per 10,000 humpty 42 author per 10,000 0 dialect per 10,000 her 42 author per 10,000 8 dialect per 10,000 that 42 author per 10,000 81 dialect per 10,000 oot 42 author per 10,000 56 dialect per 10,000 oul 42 author per 10,000 15 dialect per 10,000 mice 42 author per 10,000 0 dialect per 10,000 blin 42 author per 10,000 2 dialect per 10,000 i 42 author per 10,000 9 dialect per 10,000 eedjit 42 author per 10,000 0 dialect per 10,000 weelasses 42 author per 10,000 0 dialect per 10,000 dub 42 author per 10,000 0 dialect per 10,000 there 42 author per 10,000 6 dialect per 10,000 said 42 author per 10,000 35 dialect per 10,000 pieman 42 author per 10,000 0 dialect per 10,000 awa 42 author per 10,000 19 dialect per 10,000 yer 42 author per 10,000 44 dialect per 10,000 tree 42 author per 10,000 3 dialect per 10,000 king 31 author per 10,000 6 dialect per 10,000 star 31 author per 10,000 0 dialect per 10,000 faa 31 author per 10,000 2 dialect per 10,000 nut 31 author per 10,000 0 dialect per 10,000 sing 31 author per 10,000 2 dialect per 10,000 weeflas 31 author per 10,000 0 dialect per 10,000 dumpty 31 author per 10,000 0 dialect per 10,000 pie 31 author per 10,000 0 dialect per 10,000 rock 31 author per 10,000 0 dialect per 10,000 aff 31 author per 10,000 17 dialect per 10,000 shoe 31 author per 10,000 0 dialect per 10,000 jeck 31 author per 10,000 0 dialect per 10,000 jill 31 author per 10,000 0 dialect per 10,000 dumplin 31 author per 10,000 0 dialect per 10,000 twa 31 author per 10,000 12 dialect per 10,000 muffet 31 author per 10,000 0 dialect per 10,000 nae 31 author per 10,000 24 dialect per 10,000 miss 31 author per 10,000 0 dialect per 10,000 poor 31 author per 10,000 1 dialect per 10,000 sin 31 author per 10,000 4 dialect per 10,000 doag 31 author per 10,000 0 dialect per 10,000 peter 31 author per 10,000 0 dialect per 10,000 paul 31 author per 10,000 0 dialect per 10,000 hir 31 author per 10,000 29 dialect per 10,000 renn 31 author per 10,000 0 dialect per 10,000 agane 31 author per 10,000 12 dialect per 10,000 wae 31 author per 10,000 11 dialect per 10,000 dock 31 author per 10,000 0 dialect per 10,000 tails 31 author per 10,000 0 dialect per 10,000 dickory 31 author per 10,000 0 dialect per 10,000 hickory 31 author per 10,000 0 dialect per 10,000 efter 21 author per 10,000 6 dialect per 10,000 dish 21 author per 10,000 0 dialect per 10,000 hae 21 author per 10,000 57 dialect per 10,000 hey 21 author per 10,000 0 dialect per 10,000 credel 21 author per 10,000 0 dialect per 10,000 may 21 author per 10,000 2 dialect per 10,000 faa'd 21 author per 10,000 0 dialect per 10,000 get 21 author per 10,000 8 dialect per 10,000 know 21 author per 10,000 11 dialect per 10,000 as 21 author per 10,000 30 dialect per 10,000 coontin 21 author per 10,000 0 dialect per 10,000 fu 21 author per 10,000 3 dialect per 10,000 atishoo 21 author per 10,000 0 dialect per 10,000 school 21 author per 10,000 0 dialect per 10,000 their 21 author per 10,000 6 dialect per 10,000 moose 21 author per 10,000 3 dialect per 10,000 peep 21 author per 10,000 0 dialect per 10,000 set 21 author per 10,000 6 dialect per 10,000 luk 21 author per 10,000 10 dialect per 10,000 rosies 21 author per 10,000 0 dialect per 10,000 weans 21 author per 10,000 8 dialect per 10,000 wye 21 author per 10,000 18 dialect per 10,000 fly 21 author per 10,000 1 dialect per 10,000 john 21 author per 10,000 4 dialect per 10,000 bed 21 author per 10,000 2 dialect per 10,000 birds 21 author per 10,000 0 dialect per 10,000 me 21 author per 10,000 25 dialect per 10,000 mother 21 author per 10,000 0 dialect per 10,000 breid 21 author per 10,000 2 dialect per 10,000 oan 21 author per 10,000 13 dialect per 10,000 whit 21 author per 10,000 2 dialect per 10,000 wha 21 author per 10,000 11 dialect per 10,000 oany 21 author per 10,000 0 dialect per 10,000 dickey 21 author per 10,000 0 dialect per 10,000 hubbard 21 author per 10,000 0 dialect per 10,000 cupboard 21 author per 10,000 0 dialect per 10,000 he 21 author per 10,000 78 dialect per 10,000 foster 21 author per 10,000 0 dialect per 10,000 bak 21 author per 10,000 17 dialect per 10,000 dochter 21 author per 10,000 1 dialect per 10,000 sut 21 author per 10,000 3 dialect per 10,000 caa'd 21 author per 10,000 0 dialect per 10,000 waa 21 author per 10,000 0 dialect per 10,000 got 21 author per 10,000 10 dialect per 10,000 but 21 author per 10,000 49 dialect per 10,000 rub 21 author per 10,000 0 dialect per 10,000 bo 21 author per 10,000 0 dialect per 10,000 kat 21 author per 10,000 0 dialect per 10,000 dae 21 author per 10,000 27 dialect per 10,000 sixpence 21 author per 10,000 0 dialect per 10,000 men 21 author per 10,000 7 dialect per 10,000 sang 21 author per 10,000 1 dialect per 10,000 kings 21 author per 10,000 0 dialect per 10,000 sat 21 author per 10,000 0 dialect per 10,000 bone 21 author per 10,000 0 dialect per 10,000 lake 21 author per 10,000 6 dialect per 10,000 cannel 21 author per 10,000 0 dialect per 10,000 guid 21 author per 10,000 19 dialect per 10,000 sae 21 author per 10,000 28 dialect per 10,000 fat 21 author per 10,000 0 dialect per 10,000 see 21 author per 10,000 18 dialect per 10,000 came 21 author per 10,000 1 dialect per 10,000 cud 21 author per 10,000 13 dialect per 10,000 wife 21 author per 10,000 3 dialect per 10,000 spratt 21 author per 10,000 0 dialect per 10,000 lean 21 author per 10,000 0 dialect per 10,000 wull 21 author per 10,000 37 dialect per 10,000 spoot 21 author per 10,000 0 dialect per 10,000 clean 21 author per 10,000 0 dialect per 10,000 atin 21 author per 10,000 0 dialect per 10,000 whaur 21 author per 10,000 2 dialect per 10,000 horner 21 author per 10,000 0 dialect per 10,000 that's 21 author per 10,000 9 dialect per 10,000 hoo 21 author per 10,000 11 dialect per 10,000 wincy 21 author per 10,000 0 dialect per 10,000 clock 21 author per 10,000 0 dialect per 10,000 wunner 21 author per 10,000 2 dialect per 10,000 the 10 author per 10,000 210 dialect per 10,000 think 10 author per 10,000 8 dialect per 10,000 beef-man 10 author per 10,000 0 dialect per 10,000 withoot 10 author per 10,000 2 dialect per 10,000 jump 10 author per 10,000 0 dialect per 10,000 some 10 author per 10,000 8 dialect per 10,000 gane 10 author per 10,000 1 dialect per 10,000 broth 10 author per 10,000 0 dialect per 10,000 maaker 10 author per 10,000 0 dialect per 10,000 tub 10 author per 10,000 0 dialect per 10,000 stick 10 author per 10,000 1 dialect per 10,000 baked 10 author per 10,000 0 dialect per 10,000 baker 10 author per 10,000 0 dialect per 10,000 began 10 author per 10,000 0 dialect per 10,000 rye 10 author per 10,000 0 dialect per 10,000 nice 10 author per 10,000 1 dialect per 10,000 opened 10 author per 10,000 0 dialect per 10,000 fower 10 author per 10,000 1 dialect per 10,000 sent 10 author per 10,000 4 dialect per 10,000 gein 10 author per 10,000 0 dialect per 10,000 spice 10 author per 10,000 0 dialect per 10,000 simple 10 author per 10,000 0 dialect per 10,000 twunty 10 author per 10,000 0 dialect per 10,000 sugar 10 author per 10,000 0 dialect per 10,000 neb 10 author per 10,000 1 dialect per 10,000 skite 10 author per 10,000 0 dialect per 10,000 nane 10 author per 10,000 3 dialect per 10,000 bare 10 author per 10,000 0 dialect per 10,000 pookit 10 author per 10,000 0 dialect per 10,000 blakbirds 10 author per 10,000 0 dialect per 10,000 am 10 author per 10,000 3 dialect per 10,000