A Corpus of 21st Century Scots Texts

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Goodlad, Lynn


Total words by this author in corpus - 95
Total unique words used by this author in corpus - 71
Ratio of total words to unique words - 1.338
Top ten most common words - da, i, in, he, wis, an, tae, 'i', idder, dat,

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
da 632 author per 10,000 4 dialect per 10,000 i 421 author per 10,000 38 dialect per 10,000 in 316 author per 10,000 148 dialect per 10,000 he 316 author per 10,000 92 dialect per 10,000 wis 316 author per 10,000 98 dialect per 10,000 an 316 author per 10,000 212 dialect per 10,000 tae 316 author per 10,000 211 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 0 dialect per 10,000 dat 211 author per 10,000 0 dialect per 10,000 says 211 author per 10,000 7 dialect per 10,000 a 211 author per 10,000 263 dialect per 10,000 as 211 author per 10,000 60 dialect per 10,000 was 105 author per 10,000 7 dialect per 10,000 really 105 author per 10,000 4 dialect per 10,000 so 105 author per 10,000 9 dialect per 10,000 word 105 author per 10,000 2 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 0 dialect per 10,000 english 105 author per 10,000 6 dialect per 10,000 no 105 author per 10,000 35 dialect per 10,000 other 105 author per 10,000 2 dialect per 10,000 and 105 author per 10,000 107 dialect per 10,000 boy 105 author per 10,000 1 dialect per 10,000 you 105 author per 10,000 15 dialect per 10,000 if 105 author per 10,000 18 dialect per 10,000 right 105 author per 10,000 4 dialect per 10,000 ir 105 author per 10,000 2 dialect per 10,000 spaekin 105 author per 10,000 0 dialect per 10,000 dialect 105 author per 10,000 0 dialect per 10,000 aboot 105 author per 10,000 29 dialect per 10,000 trouble 105 author per 10,000 1 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 1 dialect per 10,000 tinkin 105 author per 10,000 0 dialect per 10,000 dis 105 author per 10,000 1 dialect per 10,000 is 105 author per 10,000 61 dialect per 10,000 be 105 author per 10,000 49 dialect per 10,000 gyan 105 author per 10,000 0 dialect per 10,000 mind 105 author per 10,000 7 dialect per 10,000 him 105 author per 10,000 30 dialect per 10,000 write 105 author per 10,000 2 dialect per 10,000 haed 105 author per 10,000 5 dialect per 10,000 examples 105 author per 10,000 0 dialect per 10,000 doon 105 author per 10,000 18 dialect per 10,000 wan 105 author per 10,000 9 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 1 dialect per 10,000 his 105 author per 10,000 56 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 4 dialect per 10,000 auld 105 author per 10,000 14 dialect per 10,000 haes 105 author per 10,000 7 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 19 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 15 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 0 dialect per 10,000 whit 105 author per 10,000 29 dialect per 10,000 wirds 105 author per 10,000 2 dialect per 10,000 wi 105 author per 10,000 66 dialect per 10,000 startit 105 author per 10,000 0 dialect per 10,000 cream 105 author per 10,000 0 dialect per 10,000 ice 105 author per 10,000 1 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 190 dialect per 10,000 letter 105 author per 10,000 1 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 1 dialect per 10,000
Doric
da 632 author per 10,000 3 dialect per 10,000 i 421 author per 10,000 71 dialect per 10,000 in 316 author per 10,000 135 dialect per 10,000 he 316 author per 10,000 97 dialect per 10,000 wis 316 author per 10,000 104 dialect per 10,000 an 316 author per 10,000 307 dialect per 10,000 tae 316 author per 10,000 164 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 1 dialect per 10,000 dat 211 author per 10,000 0 dialect per 10,000 says 211 author per 10,000 10 dialect per 10,000 a 211 author per 10,000 300 dialect per 10,000 as 211 author per 10,000 55 dialect per 10,000 was 105 author per 10,000 8 dialect per 10,000 really 105 author per 10,000 4 dialect per 10,000 so 105 author per 10,000 14 dialect per 10,000 word 105 author per 10,000 1 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 0 dialect per 10,000 english 105 author per 10,000 1 dialect per 10,000 no 105 author per 10,000 8 dialect per 10,000 other 105 author per 10,000 0 dialect per 10,000 and 105 author per 10,000 43 dialect per 10,000 boy 105 author per 10,000 0 dialect per 10,000 you 105 author per 10,000 18 dialect per 10,000 if 105 author per 10,000 17 dialect per 10,000 right 105 author per 10,000 1 dialect per 10,000 ir 105 author per 10,000 3 dialect per 10,000 spaekin 105 author per 10,000 0 dialect per 10,000 dialect 105 author per 10,000 0 dialect per 10,000 aboot 105 author per 10,000 33 dialect per 10,000 trouble 105 author per 10,000 1 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 7 dialect per 10,000 tinkin 105 author per 10,000 0 dialect per 10,000 dis 105 author per 10,000 7 dialect per 10,000 is 105 author per 10,000 42 dialect per 10,000 be 105 author per 10,000 46 dialect per 10,000 gyan 105 author per 10,000 1 dialect per 10,000 mind 105 author per 10,000 5 dialect per 10,000 him 105 author per 10,000 33 dialect per 10,000 write 105 author per 10,000 1 dialect per 10,000 haed 105 author per 10,000 2 dialect per 10,000 examples 105 author per 10,000 0 dialect per 10,000 doon 105 author per 10,000 34 dialect per 10,000 wan 105 author per 10,000 4 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 0 dialect per 10,000 his 105 author per 10,000 72 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 5 dialect per 10,000 auld 105 author per 10,000 8 dialect per 10,000 haes 105 author per 10,000 0 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 13 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 41 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 0 dialect per 10,000 whit 105 author per 10,000 2 dialect per 10,000 wirds 105 author per 10,000 2 dialect per 10,000 wi 105 author per 10,000 82 dialect per 10,000 startit 105 author per 10,000 0 dialect per 10,000 cream 105 author per 10,000 1 dialect per 10,000 ice 105 author per 10,000 1 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 181 dialect per 10,000 letter 105 author per 10,000 1 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 0 dialect per 10,000
Shetland
da 632 author per 10,000 545 dialect per 10,000 i 421 author per 10,000 143 dialect per 10,000 in 316 author per 10,000 105 dialect per 10,000 he 316 author per 10,000 103 dialect per 10,000 wis 316 author per 10,000 161 dialect per 10,000 an 316 author per 10,000 330 dialect per 10,000 tae 316 author per 10,000 86 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 15 dialect per 10,000 dat 211 author per 10,000 85 dialect per 10,000 says 211 author per 10,000 5 dialect per 10,000 a 211 author per 10,000 280 dialect per 10,000 as 211 author per 10,000 79 dialect per 10,000 was 105 author per 10,000 3 dialect per 10,000 really 105 author per 10,000 2 dialect per 10,000 so 105 author per 10,000 26 dialect per 10,000 word 105 author per 10,000 1 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 1 dialect per 10,000 english 105 author per 10,000 14 dialect per 10,000 no 105 author per 10,000 35 dialect per 10,000 other 105 author per 10,000 1 dialect per 10,000 and 105 author per 10,000 15 dialect per 10,000 boy 105 author per 10,000 5 dialect per 10,000 you 105 author per 10,000 51 dialect per 10,000 if 105 author per 10,000 25 dialect per 10,000 right 105 author per 10,000 5 dialect per 10,000 ir 105 author per 10,000 13 dialect per 10,000 spaekin 105 author per 10,000 7 dialect per 10,000 dialect 105 author per 10,000 7 dialect per 10,000 aboot 105 author per 10,000 41 dialect per 10,000 trouble 105 author per 10,000 0 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 5 dialect per 10,000 tinkin 105 author per 10,000 3 dialect per 10,000 dis 105 author per 10,000 53 dialect per 10,000 is 105 author per 10,000 81 dialect per 10,000 be 105 author per 10,000 55 dialect per 10,000 gyan 105 author per 10,000 0 dialect per 10,000 mind 105 author per 10,000 10 dialect per 10,000 him 105 author per 10,000 47 dialect per 10,000 write 105 author per 10,000 2 dialect per 10,000 haed 105 author per 10,000 3 dialect per 10,000 examples 105 author per 10,000 1 dialect per 10,000 doon 105 author per 10,000 23 dialect per 10,000 wan 105 author per 10,000 13 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 3 dialect per 10,000 his 105 author per 10,000 52 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 49 dialect per 10,000 auld 105 author per 10,000 1 dialect per 10,000 haes 105 author per 10,000 11 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 16 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 38 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 4 dialect per 10,000 whit 105 author per 10,000 39 dialect per 10,000 wirds 105 author per 10,000 11 dialect per 10,000 wi 105 author per 10,000 95 dialect per 10,000 startit 105 author per 10,000 5 dialect per 10,000 cream 105 author per 10,000 0 dialect per 10,000 ice 105 author per 10,000 1 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 177 dialect per 10,000 letter 105 author per 10,000 1 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 5 dialect per 10,000
Orkney
da 632 author per 10,000 0 dialect per 10,000 i 421 author per 10,000 156 dialect per 10,000 in 316 author per 10,000 147 dialect per 10,000 he 316 author per 10,000 88 dialect per 10,000 wis 316 author per 10,000 79 dialect per 10,000 an 316 author per 10,000 179 dialect per 10,000 tae 316 author per 10,000 222 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 0 dialect per 10,000 dat 211 author per 10,000 0 dialect per 10,000 says 211 author per 10,000 15 dialect per 10,000 a 211 author per 10,000 296 dialect per 10,000 as 211 author per 10,000 48 dialect per 10,000 was 105 author per 10,000 2 dialect per 10,000 really 105 author per 10,000 4 dialect per 10,000 so 105 author per 10,000 29 dialect per 10,000 word 105 author per 10,000 2 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 0 dialect per 10,000 english 105 author per 10,000 1 dialect per 10,000 no 105 author per 10,000 59 dialect per 10,000 other 105 author per 10,000 0 dialect per 10,000 and 105 author per 10,000 191 dialect per 10,000 boy 105 author per 10,000 4 dialect per 10,000 you 105 author per 10,000 33 dialect per 10,000 if 105 author per 10,000 15 dialect per 10,000 right 105 author per 10,000 17 dialect per 10,000 ir 105 author per 10,000 2 dialect per 10,000 spaekin 105 author per 10,000 0 dialect per 10,000 dialect 105 author per 10,000 0 dialect per 10,000 aboot 105 author per 10,000 26 dialect per 10,000 trouble 105 author per 10,000 1 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 6 dialect per 10,000 tinkin 105 author per 10,000 0 dialect per 10,000 dis 105 author per 10,000 1 dialect per 10,000 is 105 author per 10,000 73 dialect per 10,000 be 105 author per 10,000 42 dialect per 10,000 gyan 105 author per 10,000 0 dialect per 10,000 mind 105 author per 10,000 10 dialect per 10,000 him 105 author per 10,000 21 dialect per 10,000 write 105 author per 10,000 3 dialect per 10,000 haed 105 author per 10,000 6 dialect per 10,000 examples 105 author per 10,000 0 dialect per 10,000 doon 105 author per 10,000 28 dialect per 10,000 wan 105 author per 10,000 21 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 1 dialect per 10,000 his 105 author per 10,000 63 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 27 dialect per 10,000 auld 105 author per 10,000 1 dialect per 10,000 haes 105 author per 10,000 4 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 18 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 48 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 0 dialect per 10,000 whit 105 author per 10,000 29 dialect per 10,000 wirds 105 author per 10,000 6 dialect per 10,000 wi 105 author per 10,000 48 dialect per 10,000 startit 105 author per 10,000 0 dialect per 10,000 cream 105 author per 10,000 1 dialect per 10,000 ice 105 author per 10,000 1 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 199 dialect per 10,000 letter 105 author per 10,000 2 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 3 dialect per 10,000
Southern
da 632 author per 10,000 0 dialect per 10,000 i 421 author per 10,000 77 dialect per 10,000 in 316 author per 10,000 106 dialect per 10,000 he 316 author per 10,000 11 dialect per 10,000 wis 316 author per 10,000 58 dialect per 10,000 an 316 author per 10,000 310 dialect per 10,000 tae 316 author per 10,000 202 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 0 dialect per 10,000 dat 211 author per 10,000 0 dialect per 10,000 says 211 author per 10,000 3 dialect per 10,000 a 211 author per 10,000 222 dialect per 10,000 as 211 author per 10,000 50 dialect per 10,000 was 105 author per 10,000 59 dialect per 10,000 really 105 author per 10,000 2 dialect per 10,000 so 105 author per 10,000 1 dialect per 10,000 word 105 author per 10,000 2 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 0 dialect per 10,000 english 105 author per 10,000 1 dialect per 10,000 no 105 author per 10,000 29 dialect per 10,000 other 105 author per 10,000 1 dialect per 10,000 and 105 author per 10,000 15 dialect per 10,000 boy 105 author per 10,000 0 dialect per 10,000 you 105 author per 10,000 2 dialect per 10,000 if 105 author per 10,000 16 dialect per 10,000 right 105 author per 10,000 0 dialect per 10,000 ir 105 author per 10,000 10 dialect per 10,000 spaekin 105 author per 10,000 0 dialect per 10,000 dialect 105 author per 10,000 0 dialect per 10,000 aboot 105 author per 10,000 31 dialect per 10,000 trouble 105 author per 10,000 1 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 1 dialect per 10,000 tinkin 105 author per 10,000 0 dialect per 10,000 dis 105 author per 10,000 2 dialect per 10,000 is 105 author per 10,000 64 dialect per 10,000 be 105 author per 10,000 10 dialect per 10,000 gyan 105 author per 10,000 0 dialect per 10,000 mind 105 author per 10,000 8 dialect per 10,000 him 105 author per 10,000 12 dialect per 10,000 write 105 author per 10,000 1 dialect per 10,000 haed 105 author per 10,000 2 dialect per 10,000 examples 105 author per 10,000 0 dialect per 10,000 doon 105 author per 10,000 25 dialect per 10,000 wan 105 author per 10,000 0 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 1 dialect per 10,000 his 105 author per 10,000 37 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 1 dialect per 10,000 auld 105 author per 10,000 20 dialect per 10,000 haes 105 author per 10,000 7 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 11 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 15 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 0 dialect per 10,000 whit 105 author per 10,000 33 dialect per 10,000 wirds 105 author per 10,000 0 dialect per 10,000 wi 105 author per 10,000 70 dialect per 10,000 startit 105 author per 10,000 0 dialect per 10,000 cream 105 author per 10,000 0 dialect per 10,000 ice 105 author per 10,000 1 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 212 dialect per 10,000 letter 105 author per 10,000 2 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 1 dialect per 10,000
Ulster
da 632 author per 10,000 1 dialect per 10,000 i 421 author per 10,000 10 dialect per 10,000 in 316 author per 10,000 120 dialect per 10,000 he 316 author per 10,000 63 dialect per 10,000 wis 316 author per 10,000 1 dialect per 10,000 an 316 author per 10,000 364 dialect per 10,000 tae 316 author per 10,000 259 dialect per 10,000 'i' 211 author per 10,000 0 dialect per 10,000 idder 211 author per 10,000 0 dialect per 10,000 dat 211 author per 10,000 0 dialect per 10,000 says 211 author per 10,000 3 dialect per 10,000 a 211 author per 10,000 284 dialect per 10,000 as 211 author per 10,000 29 dialect per 10,000 was 105 author per 10,000 11 dialect per 10,000 really 105 author per 10,000 1 dialect per 10,000 so 105 author per 10,000 5 dialect per 10,000 word 105 author per 10,000 0 dialect per 10,000 explained 105 author per 10,000 0 dialect per 10,000 aetin 105 author per 10,000 0 dialect per 10,000 english 105 author per 10,000 1 dialect per 10,000 no 105 author per 10,000 22 dialect per 10,000 other 105 author per 10,000 0 dialect per 10,000 and 105 author per 10,000 10 dialect per 10,000 boy 105 author per 10,000 1 dialect per 10,000 you 105 author per 10,000 4 dialect per 10,000 if 105 author per 10,000 13 dialect per 10,000 right 105 author per 10,000 1 dialect per 10,000 ir 105 author per 10,000 32 dialect per 10,000 spaekin 105 author per 10,000 0 dialect per 10,000 dialect 105 author per 10,000 0 dialect per 10,000 aboot 105 author per 10,000 27 dialect per 10,000 trouble 105 author per 10,000 1 dialect per 10,000 confusin 105 author per 10,000 0 dialect per 10,000 oh 105 author per 10,000 1 dialect per 10,000 tinkin 105 author per 10,000 0 dialect per 10,000 dis 105 author per 10,000 0 dialect per 10,000 is 105 author per 10,000 19 dialect per 10,000 be 105 author per 10,000 40 dialect per 10,000 gyan 105 author per 10,000 0 dialect per 10,000 mind 105 author per 10,000 3 dialect per 10,000 him 105 author per 10,000 9 dialect per 10,000 write 105 author per 10,000 0 dialect per 10,000 haed 105 author per 10,000 12 dialect per 10,000 examples 105 author per 10,000 0 dialect per 10,000 doon 105 author per 10,000 28 dialect per 10,000 wan 105 author per 10,000 0 dialect per 10,000 workbook 105 author per 10,000 0 dialect per 10,000 soonds 105 author per 10,000 0 dialect per 10,000 his 105 author per 10,000 19 dialect per 10,000 yr 105 author per 10,000 0 dialect per 10,000 wir 105 author per 10,000 1 dialect per 10,000 auld 105 author per 10,000 1 dialect per 10,000 haes 105 author per 10,000 21 dialect per 10,000 learning 105 author per 10,000 0 dialect per 10,000 been 105 author per 10,000 2 dialect per 10,000 caused 105 author per 10,000 0 dialect per 10,000 bit 105 author per 10,000 10 dialect per 10,000 recently 105 author per 10,000 0 dialect per 10,000 aksed 105 author per 10,000 0 dialect per 10,000 whit 105 author per 10,000 2 dialect per 10,000 wirds 105 author per 10,000 0 dialect per 10,000 wi 105 author per 10,000 61 dialect per 10,000 startit 105 author per 10,000 0 dialect per 10,000 cream 105 author per 10,000 0 dialect per 10,000 ice 105 author per 10,000 0 dialect per 10,000 confusion 105 author per 10,000 0 dialect per 10,000 o 105 author per 10,000 210 dialect per 10,000 letter 105 author per 10,000 1 dialect per 10,000 igloo 105 author per 10,000 0 dialect per 10,000 opposed 105 author per 10,000 0 dialect per 10,000 soond 105 author per 10,000 0 dialect per 10,000