A Corpus of 21st Century Scots Texts

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Kerr, Oliwia, Sarah and Amber


Total words by this author in corpus - 293
Total unique words used by this author in corpus - 140
Ratio of total words to unique words - 2.093
Top ten most common words - a, her, the, and, she, it, to, fiona, ring, so,

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
a 478 author per 10,000 266 dialect per 10,000 her 444 author per 10,000 46 dialect per 10,000 the 444 author per 10,000 565 dialect per 10,000 and 410 author per 10,000 94 dialect per 10,000 she 341 author per 10,000 56 dialect per 10,000 it 341 author per 10,000 116 dialect per 10,000 to 307 author per 10,000 9 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 10 dialect per 10,000 wee 171 author per 10,000 30 dialect per 10,000 johnny 171 author per 10,000 0 dialect per 10,000 for 171 author per 10,000 47 dialect per 10,000 when 137 author per 10,000 18 dialect per 10,000 as 137 author per 10,000 59 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 3 dialect per 10,000 burn 102 author per 10,000 1 dialect per 10,000 in 102 author per 10,000 147 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 10 dialect per 10,000 tae 102 author per 10,000 211 dialect per 10,000 mither 102 author per 10,000 4 dialect per 10,000 o 102 author per 10,000 183 dialect per 10,000 wis 102 author per 10,000 96 dialect per 10,000 that 102 author per 10,000 106 dialect per 10,000 fae 102 author per 10,000 26 dialect per 10,000 day 102 author per 10,000 14 dialect per 10,000 went 68 author per 10,000 7 dialect per 10,000 was 68 author per 10,000 7 dialect per 10,000 ane 68 author per 10,000 9 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 2 dialect per 10,000 wisna 68 author per 10,000 2 dialect per 10,000 college 68 author per 10,000 0 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 3 dialect per 10,000 had 68 author per 10,000 22 dialect per 10,000 wi 68 author per 10,000 67 dialect per 10,000 stane 68 author per 10,000 2 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 0 dialect per 10,000 then 68 author per 10,000 17 dialect per 10,000 spied 34 author per 10,000 0 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 4 dialect per 10,000 but 34 author per 10,000 48 dialect per 10,000 started 34 author per 10,000 1 dialect per 10,000 after 34 author per 10,000 1 dialect per 10,000 what 34 author per 10,000 4 dialect per 10,000 hale 34 author per 10,000 2 dialect per 10,000 turn 34 author per 10,000 2 dialect per 10,000 he 34 author per 10,000 85 dialect per 10,000 world 34 author per 10,000 1 dialect per 10,000 into 34 author per 10,000 0 dialect per 10,000 happened 34 author per 10,000 1 dialect per 10,000 realised 34 author per 10,000 1 dialect per 10,000 alang 34 author per 10,000 4 dialect per 10,000 first 34 author per 10,000 9 dialect per 10,000 could 34 author per 10,000 9 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 1 dialect per 10,000 intae 34 author per 10,000 18 dialect per 10,000 abody 34 author per 10,000 0 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 10 dialect per 10,000 space 34 author per 10,000 1 dialect per 10,000 them 34 author per 10,000 17 dialect per 10,000 plenty 34 author per 10,000 1 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 0 dialect per 10,000 turnin 34 author per 10,000 1 dialect per 10,000 they 34 author per 10,000 41 dialect per 10,000 anither 34 author per 10,000 6 dialect per 10,000 this 34 author per 10,000 41 dialect per 10,000 keek 34 author per 10,000 1 dialect per 10,000 hae 34 author per 10,000 22 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 5 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 1 dialect per 10,000 with 34 author per 10,000 2 dialect per 10,000 be 34 author per 10,000 48 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 1 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 1 dialect per 10,000 €“ 34 author per 10,000 5 dialect per 10,000 present 34 author per 10,000 1 dialect per 10,000 gave 34 author per 10,000 1 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 3 dialect per 10,000 oot 34 author per 10,000 40 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 1 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 17 dialect per 10,000 birthday 34 author per 10,000 0 dialect per 10,000 seein 34 author per 10,000 1 dialect per 10,000 there 34 author per 10,000 23 dialect per 10,000 lassie 34 author per 10,000 3 dialect per 10,000 syne 34 author per 10,000 6 dialect per 10,000 days 34 author per 10,000 5 dialect per 10,000 ago 34 author per 10,000 1 dialect per 10,000 cried 34 author per 10,000 4 dialect per 10,000 winter's 34 author per 10,000 0 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 6 dialect per 10,000 walkin 34 author per 10,000 1 dialect per 10,000 puppy 34 author per 10,000 0 dialect per 10,000 appeared 34 author per 10,000 0 dialect per 10,000 seen 34 author per 10,000 6 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 2 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 0 dialect per 10,000 noo 34 author per 10,000 14 dialect per 10,000 lookin 34 author per 10,000 3 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 2 dialect per 10,000 bad 34 author per 10,000 3 dialect per 10,000 colours 34 author per 10,000 0 dialect per 10,000 test 34 author per 10,000 1 dialect per 10,000 grant 34 author per 10,000 0 dialect per 10,000 any 34 author per 10,000 2 dialect per 10,000 wid 34 author per 10,000 8 dialect per 10,000 telt 34 author per 10,000 5 dialect per 10,000 €™s 34 author per 10,000 32 dialect per 10,000 wish 34 author per 10,000 1 dialect per 10,000 wore 34 author per 10,000 0 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 2 dialect per 10,000 magic 34 author per 10,000 1 dialect per 10,000 use 34 author per 10,000 1 dialect per 10,000 		Doric
a 478 author per 10,000 314 dialect per 10,000 her 444 author per 10,000 64 dialect per 10,000 the 444 author per 10,000 451 dialect per 10,000 and 410 author per 10,000 42 dialect per 10,000 she 341 author per 10,000 66 dialect per 10,000 it 341 author per 10,000 99 dialect per 10,000 to 307 author per 10,000 8 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 17 dialect per 10,000 wee 171 author per 10,000 18 dialect per 10,000 johnny 171 author per 10,000 1 dialect per 10,000 for 171 author per 10,000 45 dialect per 10,000 when 137 author per 10,000 3 dialect per 10,000 as 137 author per 10,000 52 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 3 dialect per 10,000 burn 102 author per 10,000 1 dialect per 10,000 in 102 author per 10,000 131 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 13 dialect per 10,000 tae 102 author per 10,000 171 dialect per 10,000 mither 102 author per 10,000 8 dialect per 10,000 o 102 author per 10,000 176 dialect per 10,000 wis 102 author per 10,000 104 dialect per 10,000 that 102 author per 10,000 53 dialect per 10,000 fae 102 author per 10,000 30 dialect per 10,000 day 102 author per 10,000 26 dialect per 10,000 went 68 author per 10,000 4 dialect per 10,000 was 68 author per 10,000 10 dialect per 10,000 ane 68 author per 10,000 5 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 1 dialect per 10,000 wisna 68 author per 10,000 7 dialect per 10,000 college 68 author per 10,000 0 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 1 dialect per 10,000 had 68 author per 10,000 4 dialect per 10,000 wi 68 author per 10,000 77 dialect per 10,000 stane 68 author per 10,000 0 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 0 dialect per 10,000 then 68 author per 10,000 9 dialect per 10,000 spied 34 author per 10,000 1 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 4 dialect per 10,000 but 34 author per 10,000 26 dialect per 10,000 started 34 author per 10,000 2 dialect per 10,000 after 34 author per 10,000 0 dialect per 10,000 what 34 author per 10,000 3 dialect per 10,000 hale 34 author per 10,000 5 dialect per 10,000 turn 34 author per 10,000 2 dialect per 10,000 he 34 author per 10,000 97 dialect per 10,000 world 34 author per 10,000 1 dialect per 10,000 into 34 author per 10,000 1 dialect per 10,000 happened 34 author per 10,000 2 dialect per 10,000 realised 34 author per 10,000 0 dialect per 10,000 alang 34 author per 10,000 2 dialect per 10,000 first 34 author per 10,000 7 dialect per 10,000 could 34 author per 10,000 8 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 1 dialect per 10,000 intae 34 author per 10,000 10 dialect per 10,000 abody 34 author per 10,000 1 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 10 dialect per 10,000 space 34 author per 10,000 1 dialect per 10,000 them 34 author per 10,000 23 dialect per 10,000 plenty 34 author per 10,000 1 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 0 dialect per 10,000 turnin 34 author per 10,000 1 dialect per 10,000 they 34 author per 10,000 36 dialect per 10,000 anither 34 author per 10,000 8 dialect per 10,000 this 34 author per 10,000 19 dialect per 10,000 keek 34 author per 10,000 0 dialect per 10,000 hae 34 author per 10,000 20 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 6 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 2 dialect per 10,000 with 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 45 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 2 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 2 dialect per 10,000 €“ 34 author per 10,000 6 dialect per 10,000 present 34 author per 10,000 0 dialect per 10,000 gave 34 author per 10,000 1 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 4 dialect per 10,000 oot 34 author per 10,000 50 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 1 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 21 dialect per 10,000 birthday 34 author per 10,000 1 dialect per 10,000 seein 34 author per 10,000 2 dialect per 10,000 there 34 author per 10,000 22 dialect per 10,000 lassie 34 author per 10,000 2 dialect per 10,000 syne 34 author per 10,000 11 dialect per 10,000 days 34 author per 10,000 5 dialect per 10,000 ago 34 author per 10,000 1 dialect per 10,000 cried 34 author per 10,000 2 dialect per 10,000 winter's 34 author per 10,000 0 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 11 dialect per 10,000 walkin 34 author per 10,000 0 dialect per 10,000 puppy 34 author per 10,000 0 dialect per 10,000 appeared 34 author per 10,000 1 dialect per 10,000 seen 34 author per 10,000 8 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 1 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 0 dialect per 10,000 noo 34 author per 10,000 23 dialect per 10,000 lookin 34 author per 10,000 3 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 3 dialect per 10,000 bad 34 author per 10,000 2 dialect per 10,000 colours 34 author per 10,000 0 dialect per 10,000 test 34 author per 10,000 0 dialect per 10,000 grant 34 author per 10,000 0 dialect per 10,000 any 34 author per 10,000 1 dialect per 10,000 wid 34 author per 10,000 18 dialect per 10,000 telt 34 author per 10,000 7 dialect per 10,000 €™s 34 author per 10,000 21 dialect per 10,000 wish 34 author per 10,000 1 dialect per 10,000 wore 34 author per 10,000 1 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 2 dialect per 10,000 magic 34 author per 10,000 1 dialect per 10,000 use 34 author per 10,000 2 dialect per 10,000
Shetland
a 478 author per 10,000 280 dialect per 10,000 her 444 author per 10,000 64 dialect per 10,000 the 444 author per 10,000 18 dialect per 10,000 and 410 author per 10,000 15 dialect per 10,000 she 341 author per 10,000 7 dialect per 10,000 it 341 author per 10,000 58 dialect per 10,000 to 307 author per 10,000 8 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 26 dialect per 10,000 wee 171 author per 10,000 0 dialect per 10,000 johnny 171 author per 10,000 0 dialect per 10,000 for 171 author per 10,000 35 dialect per 10,000 when 137 author per 10,000 5 dialect per 10,000 as 137 author per 10,000 79 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 1 dialect per 10,000 burn 102 author per 10,000 2 dialect per 10,000 in 102 author per 10,000 105 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 11 dialect per 10,000 tae 102 author per 10,000 86 dialect per 10,000 mither 102 author per 10,000 0 dialect per 10,000 o 102 author per 10,000 177 dialect per 10,000 wis 102 author per 10,000 162 dialect per 10,000 that 102 author per 10,000 4 dialect per 10,000 fae 102 author per 10,000 40 dialect per 10,000 day 102 author per 10,000 18 dialect per 10,000 went 68 author per 10,000 0 dialect per 10,000 was 68 author per 10,000 3 dialect per 10,000 ane 68 author per 10,000 4 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 2 dialect per 10,000 wisna 68 author per 10,000 9 dialect per 10,000 college 68 author per 10,000 0 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 5 dialect per 10,000 had 68 author per 10,000 2 dialect per 10,000 wi 68 author per 10,000 95 dialect per 10,000 stane 68 author per 10,000 1 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 1 dialect per 10,000 then 68 author per 10,000 1 dialect per 10,000 spied 34 author per 10,000 0 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 0 dialect per 10,000 but 34 author per 10,000 29 dialect per 10,000 started 34 author per 10,000 1 dialect per 10,000 after 34 author per 10,000 0 dialect per 10,000 what 34 author per 10,000 8 dialect per 10,000 hale 34 author per 10,000 3 dialect per 10,000 turn 34 author per 10,000 3 dialect per 10,000 he 34 author per 10,000 103 dialect per 10,000 world 34 author per 10,000 1 dialect per 10,000 into 34 author per 10,000 0 dialect per 10,000 happened 34 author per 10,000 2 dialect per 10,000 realised 34 author per 10,000 1 dialect per 10,000 alang 34 author per 10,000 6 dialect per 10,000 first 34 author per 10,000 10 dialect per 10,000 could 34 author per 10,000 12 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 1 dialect per 10,000 intae 34 author per 10,000 8 dialect per 10,000 abody 34 author per 10,000 0 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 9 dialect per 10,000 space 34 author per 10,000 1 dialect per 10,000 them 34 author per 10,000 1 dialect per 10,000 plenty 34 author per 10,000 2 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 0 dialect per 10,000 turnin 34 author per 10,000 1 dialect per 10,000 they 34 author per 10,000 2 dialect per 10,000 anither 34 author per 10,000 0 dialect per 10,000 this 34 author per 10,000 1 dialect per 10,000 keek 34 author per 10,000 0 dialect per 10,000 hae 34 author per 10,000 25 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 0 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 2 dialect per 10,000 with 34 author per 10,000 2 dialect per 10,000 be 34 author per 10,000 56 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 1 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 1 dialect per 10,000 €“ 34 author per 10,000 2 dialect per 10,000 present 34 author per 10,000 1 dialect per 10,000 gave 34 author per 10,000 0 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 9 dialect per 10,000 oot 34 author per 10,000 42 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 1 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 20 dialect per 10,000 birthday 34 author per 10,000 1 dialect per 10,000 seein 34 author per 10,000 3 dialect per 10,000 there 34 author per 10,000 1 dialect per 10,000 lassie 34 author per 10,000 0 dialect per 10,000 syne 34 author per 10,000 1 dialect per 10,000 days 34 author per 10,000 3 dialect per 10,000 ago 34 author per 10,000 2 dialect per 10,000 cried 34 author per 10,000 2 dialect per 10,000 winter's 34 author per 10,000 0 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 7 dialect per 10,000 walkin 34 author per 10,000 0 dialect per 10,000 puppy 34 author per 10,000 0 dialect per 10,000 appeared 34 author per 10,000 1 dialect per 10,000 seen 34 author per 10,000 6 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 0 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 0 dialect per 10,000 noo 34 author per 10,000 19 dialect per 10,000 lookin 34 author per 10,000 4 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 0 dialect per 10,000 bad 34 author per 10,000 1 dialect per 10,000 colours 34 author per 10,000 0 dialect per 10,000 test 34 author per 10,000 0 dialect per 10,000 grant 34 author per 10,000 0 dialect per 10,000 any 34 author per 10,000 0 dialect per 10,000 wid 34 author per 10,000 38 dialect per 10,000 telt 34 author per 10,000 7 dialect per 10,000 €™s 34 author per 10,000 15 dialect per 10,000 wish 34 author per 10,000 0 dialect per 10,000 wore 34 author per 10,000 0 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 2 dialect per 10,000 magic 34 author per 10,000 1 dialect per 10,000 use 34 author per 10,000 1 dialect per 10,000 		Orkney
a 478 author per 10,000 298 dialect per 10,000 her 444 author per 10,000 49 dialect per 10,000 the 444 author per 10,000 582 dialect per 10,000 and 410 author per 10,000 199 dialect per 10,000 she 341 author per 10,000 9 dialect per 10,000 it 341 author per 10,000 23 dialect per 10,000 to 307 author per 10,000 8 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 30 dialect per 10,000 wee 171 author per 10,000 1 dialect per 10,000 johnny 171 author per 10,000 0 dialect per 10,000 for 171 author per 10,000 26 dialect per 10,000 when 137 author per 10,000 23 dialect per 10,000 as 137 author per 10,000 48 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 4 dialect per 10,000 burn 102 author per 10,000 2 dialect per 10,000 in 102 author per 10,000 146 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 1 dialect per 10,000 tae 102 author per 10,000 223 dialect per 10,000 mither 102 author per 10,000 5 dialect per 10,000 o 102 author per 10,000 202 dialect per 10,000 wis 102 author per 10,000 80 dialect per 10,000 that 102 author per 10,000 75 dialect per 10,000 fae 102 author per 10,000 39 dialect per 10,000 day 102 author per 10,000 20 dialect per 10,000 went 68 author per 10,000 1 dialect per 10,000 was 68 author per 10,000 2 dialect per 10,000 ane 68 author per 10,000 1 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 0 dialect per 10,000 wisna 68 author per 10,000 4 dialect per 10,000 college 68 author per 10,000 1 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 1 dialect per 10,000 had 68 author per 10,000 3 dialect per 10,000 wi 68 author per 10,000 46 dialect per 10,000 stane 68 author per 10,000 0 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 1 dialect per 10,000 then 68 author per 10,000 18 dialect per 10,000 spied 34 author per 10,000 1 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 5 dialect per 10,000 but 34 author per 10,000 28 dialect per 10,000 started 34 author per 10,000 2 dialect per 10,000 after 34 author per 10,000 0 dialect per 10,000 what 34 author per 10,000 5 dialect per 10,000 hale 34 author per 10,000 0 dialect per 10,000 turn 34 author per 10,000 4 dialect per 10,000 he 34 author per 10,000 85 dialect per 10,000 world 34 author per 10,000 2 dialect per 10,000 into 34 author per 10,000 1 dialect per 10,000 happened 34 author per 10,000 1 dialect per 10,000 realised 34 author per 10,000 0 dialect per 10,000 alang 34 author per 10,000 1 dialect per 10,000 first 34 author per 10,000 7 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 1 dialect per 10,000 intae 34 author per 10,000 18 dialect per 10,000 abody 34 author per 10,000 0 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 6 dialect per 10,000 space 34 author per 10,000 2 dialect per 10,000 them 34 author per 10,000 18 dialect per 10,000 plenty 34 author per 10,000 2 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 0 dialect per 10,000 turnin 34 author per 10,000 0 dialect per 10,000 they 34 author per 10,000 37 dialect per 10,000 anither 34 author per 10,000 8 dialect per 10,000 this 34 author per 10,000 34 dialect per 10,000 keek 34 author per 10,000 1 dialect per 10,000 hae 34 author per 10,000 11 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 4 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 2 dialect per 10,000 with 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 42 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 2 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 0 dialect per 10,000 €“ 34 author per 10,000 13 dialect per 10,000 present 34 author per 10,000 1 dialect per 10,000 gave 34 author per 10,000 0 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 3 dialect per 10,000 oot 34 author per 10,000 50 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 1 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 17 dialect per 10,000 birthday 34 author per 10,000 0 dialect per 10,000 seein 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 18 dialect per 10,000 lassie 34 author per 10,000 0 dialect per 10,000 syne 34 author per 10,000 0 dialect per 10,000 days 34 author per 10,000 5 dialect per 10,000 ago 34 author per 10,000 2 dialect per 10,000 cried 34 author per 10,000 1 dialect per 10,000 winter's 34 author per 10,000 0 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 1 dialect per 10,000 walkin 34 author per 10,000 0 dialect per 10,000 puppy 34 author per 10,000 0 dialect per 10,000 appeared 34 author per 10,000 1 dialect per 10,000 seen 34 author per 10,000 6 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 0 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 0 dialect per 10,000 noo 34 author per 10,000 27 dialect per 10,000 lookin 34 author per 10,000 0 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 3 dialect per 10,000 bad 34 author per 10,000 3 dialect per 10,000 colours 34 author per 10,000 1 dialect per 10,000 test 34 author per 10,000 0 dialect per 10,000 grant 34 author per 10,000 0 dialect per 10,000 any 34 author per 10,000 5 dialect per 10,000 wid 34 author per 10,000 20 dialect per 10,000 telt 34 author per 10,000 4 dialect per 10,000 €™s 34 author per 10,000 17 dialect per 10,000 wish 34 author per 10,000 1 dialect per 10,000 wore 34 author per 10,000 0 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 2 dialect per 10,000 magic 34 author per 10,000 0 dialect per 10,000 use 34 author per 10,000 2 dialect per 10,000
Southern
a 478 author per 10,000 230 dialect per 10,000 her 444 author per 10,000 17 dialect per 10,000 the 444 author per 10,000 449 dialect per 10,000 and 410 author per 10,000 33 dialect per 10,000 she 341 author per 10,000 91 dialect per 10,000 it 341 author per 10,000 63 dialect per 10,000 to 307 author per 10,000 1 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 3 dialect per 10,000 wee 171 author per 10,000 23 dialect per 10,000 johnny 171 author per 10,000 0 dialect per 10,000 for 171 author per 10,000 22 dialect per 10,000 when 137 author per 10,000 16 dialect per 10,000 as 137 author per 10,000 50 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 5 dialect per 10,000 burn 102 author per 10,000 5 dialect per 10,000 in 102 author per 10,000 107 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 12 dialect per 10,000 tae 102 author per 10,000 206 dialect per 10,000 mither 102 author per 10,000 1 dialect per 10,000 o 102 author per 10,000 200 dialect per 10,000 wis 102 author per 10,000 54 dialect per 10,000 that 102 author per 10,000 65 dialect per 10,000 fae 102 author per 10,000 0 dialect per 10,000 day 102 author per 10,000 17 dialect per 10,000 went 68 author per 10,000 13 dialect per 10,000 was 68 author per 10,000 58 dialect per 10,000 ane 68 author per 10,000 8 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 1 dialect per 10,000 wisna 68 author per 10,000 1 dialect per 10,000 college 68 author per 10,000 0 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 1 dialect per 10,000 had 68 author per 10,000 0 dialect per 10,000 wi 68 author per 10,000 66 dialect per 10,000 stane 68 author per 10,000 3 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 0 dialect per 10,000 then 68 author per 10,000 17 dialect per 10,000 spied 34 author per 10,000 0 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 7 dialect per 10,000 but 34 author per 10,000 42 dialect per 10,000 started 34 author per 10,000 0 dialect per 10,000 after 34 author per 10,000 1 dialect per 10,000 what 34 author per 10,000 4 dialect per 10,000 hale 34 author per 10,000 2 dialect per 10,000 turn 34 author per 10,000 3 dialect per 10,000 he 34 author per 10,000 12 dialect per 10,000 world 34 author per 10,000 1 dialect per 10,000 into 34 author per 10,000 0 dialect per 10,000 happened 34 author per 10,000 1 dialect per 10,000 realised 34 author per 10,000 0 dialect per 10,000 alang 34 author per 10,000 4 dialect per 10,000 first 34 author per 10,000 2 dialect per 10,000 could 34 author per 10,000 13 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 0 dialect per 10,000 intae 34 author per 10,000 10 dialect per 10,000 abody 34 author per 10,000 1 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 13 dialect per 10,000 space 34 author per 10,000 0 dialect per 10,000 them 34 author per 10,000 5 dialect per 10,000 plenty 34 author per 10,000 0 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 1 dialect per 10,000 turnin 34 author per 10,000 2 dialect per 10,000 they 34 author per 10,000 31 dialect per 10,000 anither 34 author per 10,000 7 dialect per 10,000 this 34 author per 10,000 35 dialect per 10,000 keek 34 author per 10,000 1 dialect per 10,000 hae 34 author per 10,000 35 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 2 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 1 dialect per 10,000 with 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 13 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 0 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 1 dialect per 10,000 €“ 34 author per 10,000 5 dialect per 10,000 present 34 author per 10,000 1 dialect per 10,000 gave 34 author per 10,000 0 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 4 dialect per 10,000 oot 34 author per 10,000 34 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 1 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 5 dialect per 10,000 birthday 34 author per 10,000 0 dialect per 10,000 seein 34 author per 10,000 0 dialect per 10,000 there 34 author per 10,000 16 dialect per 10,000 lassie 34 author per 10,000 2 dialect per 10,000 syne 34 author per 10,000 5 dialect per 10,000 days 34 author per 10,000 7 dialect per 10,000 ago 34 author per 10,000 1 dialect per 10,000 cried 34 author per 10,000 2 dialect per 10,000 winter's 34 author per 10,000 1 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 8 dialect per 10,000 walkin 34 author per 10,000 1 dialect per 10,000 puppy 34 author per 10,000 1 dialect per 10,000 appeared 34 author per 10,000 1 dialect per 10,000 seen 34 author per 10,000 5 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 2 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 1 dialect per 10,000 noo 34 author per 10,000 16 dialect per 10,000 lookin 34 author per 10,000 4 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 0 dialect per 10,000 bad 34 author per 10,000 1 dialect per 10,000 colours 34 author per 10,000 0 dialect per 10,000 test 34 author per 10,000 0 dialect per 10,000 grant 34 author per 10,000 0 dialect per 10,000 any 34 author per 10,000 0 dialect per 10,000 wid 34 author per 10,000 1 dialect per 10,000 telt 34 author per 10,000 5 dialect per 10,000 €™s 34 author per 10,000 34 dialect per 10,000 wish 34 author per 10,000 3 dialect per 10,000 wore 34 author per 10,000 0 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 0 dialect per 10,000 magic 34 author per 10,000 0 dialect per 10,000 use 34 author per 10,000 0 dialect per 10,000 		Ulster
a 478 author per 10,000 287 dialect per 10,000 her 444 author per 10,000 8 dialect per 10,000 the 444 author per 10,000 345 dialect per 10,000 and 410 author per 10,000 10 dialect per 10,000 she 341 author per 10,000 31 dialect per 10,000 it 341 author per 10,000 73 dialect per 10,000 to 307 author per 10,000 3 dialect per 10,000 fiona 239 author per 10,000 0 dialect per 10,000 ring 205 author per 10,000 1 dialect per 10,000 so 205 author per 10,000 5 dialect per 10,000 wee 171 author per 10,000 27 dialect per 10,000 johnny 171 author per 10,000 0 dialect per 10,000 for 171 author per 10,000 30 dialect per 10,000 when 137 author per 10,000 2 dialect per 10,000 as 137 author per 10,000 31 dialect per 10,000 jaggy 137 author per 10,000 0 dialect per 10,000 next 137 author per 10,000 0 dialect per 10,000 burn 102 author per 10,000 1 dialect per 10,000 in 102 author per 10,000 121 dialect per 10,000 rubbed 102 author per 10,000 0 dialect per 10,000 wished 102 author per 10,000 0 dialect per 10,000 lang 102 author per 10,000 12 dialect per 10,000 tae 102 author per 10,000 253 dialect per 10,000 mither 102 author per 10,000 3 dialect per 10,000 o 102 author per 10,000 208 dialect per 10,000 wis 102 author per 10,000 1 dialect per 10,000 that 102 author per 10,000 71 dialect per 10,000 fae 102 author per 10,000 13 dialect per 10,000 day 102 author per 10,000 15 dialect per 10,000 went 68 author per 10,000 12 dialect per 10,000 was 68 author per 10,000 22 dialect per 10,000 ane 68 author per 10,000 0 dialect per 10,000 evil 68 author per 10,000 0 dialect per 10,000 dug 68 author per 10,000 0 dialect per 10,000 wisna 68 author per 10,000 0 dialect per 10,000 college 68 author per 10,000 1 dialect per 10,000 happily 68 author per 10,000 0 dialect per 10,000 ever 68 author per 10,000 0 dialect per 10,000 had 68 author per 10,000 22 dialect per 10,000 wi 68 author per 10,000 63 dialect per 10,000 stane 68 author per 10,000 3 dialect per 10,000 wanted 68 author per 10,000 1 dialect per 10,000 lived 68 author per 10,000 0 dialect per 10,000 then 68 author per 10,000 17 dialect per 10,000 spied 34 author per 10,000 0 dialect per 10,000 bubble 34 author per 10,000 0 dialect per 10,000 road 34 author per 10,000 3 dialect per 10,000 but 34 author per 10,000 41 dialect per 10,000 started 34 author per 10,000 0 dialect per 10,000 after 34 author per 10,000 0 dialect per 10,000 what 34 author per 10,000 11 dialect per 10,000 hale 34 author per 10,000 8 dialect per 10,000 turn 34 author per 10,000 3 dialect per 10,000 he 34 author per 10,000 62 dialect per 10,000 world 34 author per 10,000 0 dialect per 10,000 into 34 author per 10,000 0 dialect per 10,000 happened 34 author per 10,000 0 dialect per 10,000 realised 34 author per 10,000 0 dialect per 10,000 alang 34 author per 10,000 5 dialect per 10,000 first 34 author per 10,000 2 dialect per 10,000 could 34 author per 10,000 1 dialect per 10,000 live 34 author per 10,000 1 dialect per 10,000 faimly 34 author per 10,000 0 dialect per 10,000 intae 34 author per 10,000 14 dialect per 10,000 abody 34 author per 10,000 0 dialect per 10,000 defeated 34 author per 10,000 0 dialect per 10,000 efter 34 author per 10,000 6 dialect per 10,000 space 34 author per 10,000 1 dialect per 10,000 them 34 author per 10,000 8 dialect per 10,000 plenty 34 author per 10,000 0 dialect per 10,000 play 34 author per 10,000 2 dialect per 10,000 cottage 34 author per 10,000 0 dialect per 10,000 turnin 34 author per 10,000 1 dialect per 10,000 they 34 author per 10,000 26 dialect per 10,000 anither 34 author per 10,000 8 dialect per 10,000 this 34 author per 10,000 27 dialect per 10,000 keek 34 author per 10,000 1 dialect per 10,000 hae 34 author per 10,000 55 dialect per 10,000 shining 34 author per 10,000 0 dialect per 10,000 granted 34 author per 10,000 0 dialect per 10,000 three 34 author per 10,000 3 dialect per 10,000 frightened 34 author per 10,000 0 dialect per 10,000 stop 34 author per 10,000 0 dialect per 10,000 with 34 author per 10,000 1 dialect per 10,000 be 34 author per 10,000 39 dialect per 10,000 wishes 34 author per 10,000 0 dialect per 10,000 something 34 author per 10,000 0 dialect per 10,000 flying 34 author per 10,000 0 dialect per 10,000 diamond 34 author per 10,000 0 dialect per 10,000 bricht 34 author per 10,000 3 dialect per 10,000 €“ 34 author per 10,000 0 dialect per 10,000 present 34 author per 10,000 0 dialect per 10,000 gave 34 author per 10,000 0 dialect per 10,000 sparkly 34 author per 10,000 0 dialect per 10,000 took 34 author per 10,000 1 dialect per 10,000 oot 34 author per 10,000 49 dialect per 10,000 naewhere 34 author per 10,000 0 dialect per 10,000 sudden 34 author per 10,000 0 dialect per 10,000 sparkle 34 author per 10,000 0 dialect per 10,000 see 34 author per 10,000 16 dialect per 10,000 birthday 34 author per 10,000 0 dialect per 10,000 seein 34 author per 10,000 1 dialect per 10,000 there 34 author per 10,000 8 dialect per 10,000 lassie 34 author per 10,000 0 dialect per 10,000 syne 34 author per 10,000 1 dialect per 10,000 days 34 author per 10,000 5 dialect per 10,000 ago 34 author per 10,000 1 dialect per 10,000 cried 34 author per 10,000 1 dialect per 10,000 winter's 34 author per 10,000 0 dialect per 10,000 perty 34 author per 10,000 0 dialect per 10,000 prepared 34 author per 10,000 0 dialect per 10,000 hame 34 author per 10,000 10 dialect per 10,000 walkin 34 author per 10,000 0 dialect per 10,000 puppy 34 author per 10,000 0 dialect per 10,000 appeared 34 author per 10,000 0 dialect per 10,000 seen 34 author per 10,000 4 dialect per 10,000 yase 34 author per 10,000 0 dialect per 10,000 named 34 author per 10,000 0 dialect per 10,000 laddie 34 author per 10,000 0 dialect per 10,000 however 34 author per 10,000 0 dialect per 10,000 himself 34 author per 10,000 0 dialect per 10,000 noo 34 author per 10,000 22 dialect per 10,000 lookin 34 author per 10,000 0 dialect per 10,000 stole 34 author per 10,000 0 dialect per 10,000 lad 34 author per 10,000 1 dialect per 10,000 bad 34 author per 10,000 3 dialect per 10,000 colours 34 author per 10,000 0 dialect per 10,000 test 34 author per 10,000 0 dialect per 10,000 grant 34 author per 10,000 1 dialect per 10,000 any 34 author per 10,000 0 dialect per 10,000 wid 34 author per 10,000 1 dialect per 10,000 telt 34 author per 10,000 1 dialect per 10,000 €™s 34 author per 10,000 11 dialect per 10,000 wish 34 author per 10,000 1 dialect per 10,000 wore 34 author per 10,000 0 dialect per 10,000 spelling 34 author per 10,000 0 dialect per 10,000 pass 34 author per 10,000 1 dialect per 10,000 used 34 author per 10,000 0 dialect per 10,000 magic 34 author per 10,000 0 dialect per 10,000 use 34 author per 10,000 1 dialect per 10,000