A Corpus of 21st Century Scots Texts

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Rennie, Susan


Total words by this author in corpus - 28,663
Total unique words used by this author in corpus - 3,911
Ratio of total words to unique words - 7.329
Top ten most common words - the, an, a, tae, ', i, o, he, wis, said,

Word frequency analysis

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

Central
the 576 author per 10,000 565 dialect per 10,000 an 289 author per 10,000 215 dialect per 10,000 a 249 author per 10,000 262 dialect per 10,000 tae 235 author per 10,000 211 dialect per 10,000 ' 201 author per 10,000 47 dialect per 10,000 i 189 author per 10,000 35 dialect per 10,000 o 175 author per 10,000 187 dialect per 10,000 he 149 author per 10,000 89 dialect per 10,000 wis 113 author per 10,000 99 dialect per 10,000 said 110 author per 10,000 42 dialect per 10,000 ye 109 author per 10,000 59 dialect per 10,000 that 108 author per 10,000 108 dialect per 10,000 it 104 author per 10,000 119 dialect per 10,000 in 95 author per 10,000 149 dialect per 10,000 is 84 author per 10,000 60 dialect per 10,000 wee 83 author per 10,000 26 dialect per 10,000 but 76 author per 10,000 47 dialect per 10,000 on 75 author per 10,000 54 dialect per 10,000 his 75 author per 10,000 56 dialect per 10,000 her 72 author per 10,000 46 dialect per 10,000 wi 68 author per 10,000 64 dialect per 10,000 for 68 author per 10,000 45 dialect per 10,000 prince 62 author per 10,000 1 dialect per 10,000 me 62 author per 10,000 39 dialect per 10,000 she 61 author per 10,000 57 dialect per 10,000 my 58 author per 10,000 5 dialect per 10,000 as 55 author per 10,000 60 dialect per 10,000 they 54 author per 10,000 42 dialect per 10,000 had 53 author per 10,000 23 dialect per 10,000 at 47 author per 10,000 58 dialect per 10,000 are 45 author per 10,000 17 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 49 dialect per 10,000 €™ 40 author per 10,000 46 dialect per 10,000 hae 40 author per 10,000 21 dialect per 10,000 aw 39 author per 10,000 41 dialect per 10,000 them 37 author per 10,000 18 dialect per 10,000 this 36 author per 10,000 43 dialect per 10,000 syne 35 author per 10,000 6 dialect per 10,000 will 35 author per 10,000 10 dialect per 10,000 like 35 author per 10,000 27 dialect per 10,000 oot 34 author per 10,000 40 dialect per 10,000 €™s 34 author per 10,000 36 dialect per 10,000 him 32 author per 10,000 29 dialect per 10,000 jist 31 author per 10,000 22 dialect per 10,000 planet 31 author per 10,000 1 dialect per 10,000 'i 30 author per 10,000 2 dialect per 10,000 up 30 author per 10,000 40 dialect per 10,000 there 30 author per 10,000 24 dialect per 10,000 were 29 author per 10,000 16 dialect per 10,000 whit 28 author per 10,000 29 dialect per 10,000 whan 28 author per 10,000 11 dialect per 10,000 sae 28 author per 10,000 15 dialect per 10,000 ower 28 author per 10,000 18 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 20 dialect per 10,000 by 27 author per 10,000 16 dialect per 10,000 dae 26 author per 10,000 17 dialect per 10,000 can 26 author per 10,000 15 dialect per 10,000 € 25 author per 10,000 26 dialect per 10,000 muckle 25 author per 10,000 10 dialect per 10,000 intae 23 author per 10,000 18 dialect per 10,000 fae 23 author per 10,000 27 dialect per 10,000 gey 23 author per 10,000 4 dialect per 10,000 time 21 author per 10,000 17 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 speired 21 author per 10,000 1 dialect per 10,000 didna 21 author per 10,000 4 dialect per 10,000 guid 20 author per 10,000 11 dialect per 10,000 ane 20 author per 10,000 9 dialect per 10,000 forby 20 author per 10,000 2 dialect per 10,000 ae 20 author per 10,000 24 dialect per 10,000 or 19 author per 10,000 29 dialect per 10,000 flooer 19 author per 10,000 0 dialect per 10,000 day 19 author per 10,000 13 dialect per 10,000 awa 19 author per 10,000 11 dialect per 10,000 sheep 18 author per 10,000 1 dialect per 10,000 doon 18 author per 10,000 18 dialect per 10,000 dinna 18 author per 10,000 4 dialect per 10,000 frae 18 author per 10,000 15 dialect per 10,000 see 18 author per 10,000 17 dialect per 10,000 been 17 author per 10,000 19 dialect per 10,000 their 17 author per 10,000 18 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 am 16 author per 10,000 2 dialect per 10,000 wad 16 author per 10,000 8 dialect per 10,000 you 16 author per 10,000 15 dialect per 10,000 afore 16 author per 10,000 9 dialect per 10,000 ma 16 author per 10,000 52 dialect per 10,000 lang 16 author per 10,000 9 dialect per 10,000 back 16 author per 10,000 20 dialect per 10,000 gin 16 author per 10,000 6 dialect per 10,000 answert 16 author per 10,000 0 dialect per 10,000 bodie 15 author per 10,000 1 dialect per 10,000 poued 15 author per 10,000 1 dialect per 10,000 saw 15 author per 10,000 4 dialect per 10,000 whaur 15 author per 10,000 9 dialect per 10,000 yon 15 author per 10,000 3 dialect per 10,000 richt 15 author per 10,000 12 dialect per 10,000 again 14 author per 10,000 8 dialect per 10,000 first 14 author per 10,000 9 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 8 dialect per 10,000 cam 14 author per 10,000 8 dialect per 10,000 king 13 author per 10,000 2 dialect per 10,000 'it 13 author per 10,000 1 dialect per 10,000 haill 13 author per 10,000 2 dialect per 10,000 no 13 author per 10,000 36 dialect per 10,000 aboot 13 author per 10,000 30 dialect per 10,000 wisna 13 author per 10,000 2 dialect per 10,000 we 13 author per 10,000 35 dialect per 10,000 weel 13 author per 10,000 9 dialect per 10,000 then 12 author per 10,000 17 dialect per 10,000 made 12 author per 10,000 7 dialect per 10,000 oor 12 author per 10,000 16 dialect per 10,000 tod 12 author per 10,000 2 dialect per 10,000 its 12 author per 10,000 11 dialect per 10,000 thocht 12 author per 10,000 8 dialect per 10,000 efter 12 author per 10,000 10 dialect per 10,000 doun 12 author per 10,000 5 dialect per 10,000 thing 12 author per 10,000 6 dialect per 10,000 here 12 author per 10,000 12 dialect per 10,000 €“ 11 author per 10,000 5 dialect per 10,000 canna 11 author per 10,000 3 dialect per 10,000 nae 11 author per 10,000 23 dialect per 10,000 hame 11 author per 10,000 6 dialect per 10,000 ither 11 author per 10,000 11 dialect per 10,000 chiel 11 author per 10,000 1 dialect per 10,000 fowk 11 author per 10,000 13 dialect per 10,000 mind 11 author per 10,000 7 dialect per 10,000 himsel 11 author per 10,000 3 dialect per 10,000 mornin 11 author per 10,000 3 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 10 dialect per 10,000 yet 11 author per 10,000 3 dialect per 10,000 maun 10 author per 10,000 4 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 anither 10 author per 10,000 6 dialect per 10,000 nicht 10 author per 10,000 5 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 has 10 author per 10,000 4 dialect per 10,000 tak 10 author per 10,000 8 dialect per 10,000 yer 10 author per 10,000 18 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 15 dialect per 10,000 'but 10 author per 10,000 1 dialect per 10,000 faur 10 author per 10,000 3 dialect per 10,000 isna 10 author per 10,000 2 dialect per 10,000 need 10 author per 10,000 5 dialect per 10,000 cud 10 author per 10,000 2 dialect per 10,000 aince 9 author per 10,000 2 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 9 dialect per 10,000 hunder 9 author per 10,000 0 dialect per 10,000 wid 9 author per 10,000 9 dialect per 10,000 stertit 9 author per 10,000 2 dialect per 10,000 aff 9 author per 10,000 14 dialect per 10,000 luve 9 author per 10,000 1 dialect per 10,000 lassie 9 author per 10,000 3 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 auld 9 author per 10,000 13 dialect per 10,000 cudna 8 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 7 dialect per 10,000 watter 8 author per 10,000 3 dialect per 10,000 seen 8 author per 10,000 6 dialect per 10,000 ilka 8 author per 10,000 3 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 nane 8 author per 10,000 2 dialect per 10,000 twa 8 author per 10,000 10 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 0 dialect per 10,000 suin 8 author per 10,000 1 dialect per 10,000 wha 8 author per 10,000 8 dialect per 10,000 added 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 6 dialect per 10,000 noo 8 author per 10,000 13 dialect per 10,000 dis 8 author per 10,000 1 dialect per 10,000 neep 8 author per 10,000 0 dialect per 10,000 get 8 author per 10,000 15 dialect per 10,000 bit 8 author per 10,000 17 dialect per 10,000 yird 8 author per 10,000 1 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 7 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 12 dialect per 10,000 micht 8 author per 10,000 7 dialect per 10,000 sair 8 author per 10,000 2 dialect per 10,000 say 7 author per 10,000 10 dialect per 10,000 nor 7 author per 10,000 6 dialect per 10,000 naething 7 author per 10,000 0 dialect per 10,000 hert 7 author per 10,000 3 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 4 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 6 dialect per 10,000 naebody 7 author per 10,000 2 dialect per 10,000 		Doric
the 576 author per 10,000 469 dialect per 10,000 an 289 author per 10,000 308 dialect per 10,000 a 249 author per 10,000 300 dialect per 10,000 tae 235 author per 10,000 164 dialect per 10,000 ' 201 author per 10,000 15 dialect per 10,000 i 189 author per 10,000 72 dialect per 10,000 o 175 author per 10,000 181 dialect per 10,000 he 149 author per 10,000 97 dialect per 10,000 wis 113 author per 10,000 104 dialect per 10,000 said 110 author per 10,000 39 dialect per 10,000 ye 109 author per 10,000 94 dialect per 10,000 that 108 author per 10,000 51 dialect per 10,000 it 104 author per 10,000 104 dialect per 10,000 in 95 author per 10,000 135 dialect per 10,000 is 84 author per 10,000 42 dialect per 10,000 wee 83 author per 10,000 19 dialect per 10,000 but 76 author per 10,000 25 dialect per 10,000 on 75 author per 10,000 67 dialect per 10,000 his 75 author per 10,000 72 dialect per 10,000 her 72 author per 10,000 69 dialect per 10,000 wi 68 author per 10,000 82 dialect per 10,000 for 68 author per 10,000 45 dialect per 10,000 prince 62 author per 10,000 1 dialect per 10,000 me 62 author per 10,000 31 dialect per 10,000 she 61 author per 10,000 73 dialect per 10,000 my 58 author per 10,000 11 dialect per 10,000 as 55 author per 10,000 55 dialect per 10,000 they 54 author per 10,000 38 dialect per 10,000 had 53 author per 10,000 4 dialect per 10,000 at 47 author per 10,000 70 dialect per 10,000 are 45 author per 10,000 14 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 46 dialect per 10,000 €™ 40 author per 10,000 12 dialect per 10,000 hae 40 author per 10,000 20 dialect per 10,000 aw 39 author per 10,000 1 dialect per 10,000 them 37 author per 10,000 25 dialect per 10,000 this 36 author per 10,000 18 dialect per 10,000 syne 35 author per 10,000 12 dialect per 10,000 will 35 author per 10,000 10 dialect per 10,000 like 35 author per 10,000 40 dialect per 10,000 oot 34 author per 10,000 48 dialect per 10,000 €™s 34 author per 10,000 23 dialect per 10,000 him 32 author per 10,000 33 dialect per 10,000 jist 31 author per 10,000 35 dialect per 10,000 planet 31 author per 10,000 0 dialect per 10,000 'i 30 author per 10,000 1 dialect per 10,000 up 30 author per 10,000 45 dialect per 10,000 there 30 author per 10,000 23 dialect per 10,000 were 29 author per 10,000 13 dialect per 10,000 whit 28 author per 10,000 2 dialect per 10,000 whan 28 author per 10,000 1 dialect per 10,000 sae 28 author per 10,000 15 dialect per 10,000 ower 28 author per 10,000 28 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 18 dialect per 10,000 by 27 author per 10,000 9 dialect per 10,000 dae 26 author per 10,000 5 dialect per 10,000 can 26 author per 10,000 13 dialect per 10,000 € 25 author per 10,000 16 dialect per 10,000 muckle 25 author per 10,000 10 dialect per 10,000 intae 23 author per 10,000 10 dialect per 10,000 fae 23 author per 10,000 27 dialect per 10,000 gey 23 author per 10,000 3 dialect per 10,000 time 21 author per 10,000 20 dialect per 10,000 ken 21 author per 10,000 23 dialect per 10,000 speired 21 author per 10,000 2 dialect per 10,000 didna 21 author per 10,000 10 dialect per 10,000 guid 20 author per 10,000 4 dialect per 10,000 ane 20 author per 10,000 5 dialect per 10,000 forby 20 author per 10,000 0 dialect per 10,000 ae 20 author per 10,000 8 dialect per 10,000 or 19 author per 10,000 25 dialect per 10,000 flooer 19 author per 10,000 1 dialect per 10,000 day 19 author per 10,000 28 dialect per 10,000 awa 19 author per 10,000 22 dialect per 10,000 sheep 18 author per 10,000 0 dialect per 10,000 doon 18 author per 10,000 34 dialect per 10,000 dinna 18 author per 10,000 18 dialect per 10,000 frae 18 author per 10,000 11 dialect per 10,000 see 18 author per 10,000 22 dialect per 10,000 been 17 author per 10,000 13 dialect per 10,000 their 17 author per 10,000 20 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 am 16 author per 10,000 3 dialect per 10,000 wad 16 author per 10,000 9 dialect per 10,000 you 16 author per 10,000 18 dialect per 10,000 afore 16 author per 10,000 14 dialect per 10,000 ma 16 author per 10,000 46 dialect per 10,000 lang 16 author per 10,000 14 dialect per 10,000 back 16 author per 10,000 22 dialect per 10,000 gin 16 author per 10,000 8 dialect per 10,000 answert 16 author per 10,000 1 dialect per 10,000 bodie 15 author per 10,000 1 dialect per 10,000 poued 15 author per 10,000 0 dialect per 10,000 saw 15 author per 10,000 4 dialect per 10,000 whaur 15 author per 10,000 0 dialect per 10,000 yon 15 author per 10,000 8 dialect per 10,000 richt 15 author per 10,000 18 dialect per 10,000 again 14 author per 10,000 11 dialect per 10,000 first 14 author per 10,000 7 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 14 dialect per 10,000 cam 14 author per 10,000 12 dialect per 10,000 king 13 author per 10,000 2 dialect per 10,000 'it 13 author per 10,000 0 dialect per 10,000 haill 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 8 dialect per 10,000 aboot 13 author per 10,000 33 dialect per 10,000 wisna 13 author per 10,000 6 dialect per 10,000 we 13 author per 10,000 21 dialect per 10,000 weel 13 author per 10,000 19 dialect per 10,000 then 12 author per 10,000 9 dialect per 10,000 made 12 author per 10,000 8 dialect per 10,000 oor 12 author per 10,000 6 dialect per 10,000 tod 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 thocht 12 author per 10,000 13 dialect per 10,000 efter 12 author per 10,000 11 dialect per 10,000 doun 12 author per 10,000 2 dialect per 10,000 thing 12 author per 10,000 7 dialect per 10,000 here 12 author per 10,000 11 dialect per 10,000 €“ 11 author per 10,000 6 dialect per 10,000 canna 11 author per 10,000 8 dialect per 10,000 nae 11 author per 10,000 50 dialect per 10,000 hame 11 author per 10,000 12 dialect per 10,000 ither 11 author per 10,000 8 dialect per 10,000 chiel 11 author per 10,000 5 dialect per 10,000 fowk 11 author per 10,000 13 dialect per 10,000 mind 11 author per 10,000 5 dialect per 10,000 himsel 11 author per 10,000 3 dialect per 10,000 mornin 11 author per 10,000 6 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 12 dialect per 10,000 yet 11 author per 10,000 2 dialect per 10,000 maun 10 author per 10,000 3 dialect per 10,000 mak 10 author per 10,000 9 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 nicht 10 author per 10,000 12 dialect per 10,000 bonnie 10 author per 10,000 4 dialect per 10,000 has 10 author per 10,000 2 dialect per 10,000 tak 10 author per 10,000 9 dialect per 10,000 yer 10 author per 10,000 34 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 20 dialect per 10,000 'but 10 author per 10,000 0 dialect per 10,000 faur 10 author per 10,000 0 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 5 dialect per 10,000 cud 10 author per 10,000 5 dialect per 10,000 aince 9 author per 10,000 1 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 12 dialect per 10,000 hunder 9 author per 10,000 0 dialect per 10,000 wid 9 author per 10,000 17 dialect per 10,000 stertit 9 author per 10,000 0 dialect per 10,000 aff 9 author per 10,000 13 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 lassie 9 author per 10,000 2 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 auld 9 author per 10,000 8 dialect per 10,000 cudna 8 author per 10,000 2 dialect per 10,000 hoose 8 author per 10,000 11 dialect per 10,000 watter 8 author per 10,000 4 dialect per 10,000 seen 8 author per 10,000 7 dialect per 10,000 ilka 8 author per 10,000 2 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 9 dialect per 10,000 nane 8 author per 10,000 1 dialect per 10,000 twa 8 author per 10,000 18 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 1 dialect per 10,000 suin 8 author per 10,000 0 dialect per 10,000 wha 8 author per 10,000 1 dialect per 10,000 added 8 author per 10,000 1 dialect per 10,000 kent 8 author per 10,000 8 dialect per 10,000 noo 8 author per 10,000 21 dialect per 10,000 dis 8 author per 10,000 7 dialect per 10,000 neep 8 author per 10,000 1 dialect per 10,000 get 8 author per 10,000 15 dialect per 10,000 bit 8 author per 10,000 41 dialect per 10,000 yird 8 author per 10,000 1 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 5 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 2 dialect per 10,000 micht 8 author per 10,000 6 dialect per 10,000 sair 8 author per 10,000 3 dialect per 10,000 say 7 author per 10,000 15 dialect per 10,000 nor 7 author per 10,000 6 dialect per 10,000 naething 7 author per 10,000 2 dialect per 10,000 hert 7 author per 10,000 1 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 0 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 naebody 7 author per 10,000 3 dialect per 10,000
Shetland
the 576 author per 10,000 18 dialect per 10,000 an 289 author per 10,000 330 dialect per 10,000 a 249 author per 10,000 280 dialect per 10,000 tae 235 author per 10,000 86 dialect per 10,000 ' 201 author per 10,000 23 dialect per 10,000 i 189 author per 10,000 143 dialect per 10,000 o 175 author per 10,000 177 dialect per 10,000 he 149 author per 10,000 103 dialect per 10,000 wis 113 author per 10,000 161 dialect per 10,000 said 110 author per 10,000 61 dialect per 10,000 ye 109 author per 10,000 0 dialect per 10,000 that 108 author per 10,000 4 dialect per 10,000 it 104 author per 10,000 58 dialect per 10,000 in 95 author per 10,000 105 dialect per 10,000 is 84 author per 10,000 81 dialect per 10,000 wee 83 author per 10,000 0 dialect per 10,000 but 76 author per 10,000 28 dialect per 10,000 on 75 author per 10,000 52 dialect per 10,000 his 75 author per 10,000 52 dialect per 10,000 her 72 author per 10,000 64 dialect per 10,000 wi 68 author per 10,000 95 dialect per 10,000 for 68 author per 10,000 35 dialect per 10,000 prince 62 author per 10,000 0 dialect per 10,000 me 62 author per 10,000 41 dialect per 10,000 she 61 author per 10,000 7 dialect per 10,000 my 58 author per 10,000 23 dialect per 10,000 as 55 author per 10,000 79 dialect per 10,000 they 54 author per 10,000 2 dialect per 10,000 had 53 author per 10,000 2 dialect per 10,000 at 47 author per 10,000 112 dialect per 10,000 are 45 author per 10,000 2 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 55 dialect per 10,000 €™ 40 author per 10,000 17 dialect per 10,000 hae 40 author per 10,000 25 dialect per 10,000 aw 39 author per 10,000 0 dialect per 10,000 them 37 author per 10,000 1 dialect per 10,000 this 36 author per 10,000 1 dialect per 10,000 syne 35 author per 10,000 1 dialect per 10,000 will 35 author per 10,000 9 dialect per 10,000 like 35 author per 10,000 2 dialect per 10,000 oot 34 author per 10,000 42 dialect per 10,000 €™s 34 author per 10,000 16 dialect per 10,000 him 32 author per 10,000 47 dialect per 10,000 jist 31 author per 10,000 0 dialect per 10,000 planet 31 author per 10,000 0 dialect per 10,000 'i 30 author per 10,000 2 dialect per 10,000 up 30 author per 10,000 42 dialect per 10,000 there 30 author per 10,000 1 dialect per 10,000 were 29 author per 10,000 3 dialect per 10,000 whit 28 author per 10,000 39 dialect per 10,000 whan 28 author per 10,000 7 dialect per 10,000 sae 28 author per 10,000 8 dialect per 10,000 ower 28 author per 10,000 24 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 19 dialect per 10,000 by 27 author per 10,000 7 dialect per 10,000 dae 26 author per 10,000 2 dialect per 10,000 can 26 author per 10,000 20 dialect per 10,000 € 25 author per 10,000 17 dialect per 10,000 muckle 25 author per 10,000 12 dialect per 10,000 intae 23 author per 10,000 8 dialect per 10,000 fae 23 author per 10,000 40 dialect per 10,000 gey 23 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 21 dialect per 10,000 ken 21 author per 10,000 14 dialect per 10,000 speired 21 author per 10,000 0 dialect per 10,000 didna 21 author per 10,000 10 dialect per 10,000 guid 20 author per 10,000 12 dialect per 10,000 ane 20 author per 10,000 4 dialect per 10,000 forby 20 author per 10,000 0 dialect per 10,000 ae 20 author per 10,000 1 dialect per 10,000 or 19 author per 10,000 32 dialect per 10,000 flooer 19 author per 10,000 1 dialect per 10,000 day 19 author per 10,000 18 dialect per 10,000 awa 19 author per 10,000 13 dialect per 10,000 sheep 18 author per 10,000 3 dialect per 10,000 doon 18 author per 10,000 23 dialect per 10,000 dinna 18 author per 10,000 0 dialect per 10,000 frae 18 author per 10,000 0 dialect per 10,000 see 18 author per 10,000 20 dialect per 10,000 been 17 author per 10,000 16 dialect per 10,000 their 17 author per 10,000 1 dialect per 10,000 your 17 author per 10,000 9 dialect per 10,000 am 16 author per 10,000 4 dialect per 10,000 wad 16 author per 10,000 1 dialect per 10,000 you 16 author per 10,000 51 dialect per 10,000 afore 16 author per 10,000 15 dialect per 10,000 ma 16 author per 10,000 0 dialect per 10,000 lang 16 author per 10,000 11 dialect per 10,000 back 16 author per 10,000 18 dialect per 10,000 gin 16 author per 10,000 0 dialect per 10,000 answert 16 author per 10,000 0 dialect per 10,000 bodie 15 author per 10,000 0 dialect per 10,000 poued 15 author per 10,000 0 dialect per 10,000 saw 15 author per 10,000 1 dialect per 10,000 whaur 15 author per 10,000 0 dialect per 10,000 yon 15 author per 10,000 6 dialect per 10,000 richt 15 author per 10,000 13 dialect per 10,000 again 14 author per 10,000 5 dialect per 10,000 first 14 author per 10,000 10 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 19 dialect per 10,000 cam 14 author per 10,000 23 dialect per 10,000 king 13 author per 10,000 2 dialect per 10,000 'it 13 author per 10,000 0 dialect per 10,000 haill 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 35 dialect per 10,000 aboot 13 author per 10,000 41 dialect per 10,000 wisna 13 author per 10,000 9 dialect per 10,000 we 13 author per 10,000 43 dialect per 10,000 weel 13 author per 10,000 18 dialect per 10,000 then 12 author per 10,000 1 dialect per 10,000 made 12 author per 10,000 1 dialect per 10,000 oor 12 author per 10,000 1 dialect per 10,000 tod 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 3 dialect per 10,000 thocht 12 author per 10,000 0 dialect per 10,000 efter 12 author per 10,000 9 dialect per 10,000 doun 12 author per 10,000 0 dialect per 10,000 thing 12 author per 10,000 6 dialect per 10,000 here 12 author per 10,000 11 dialect per 10,000 €“ 11 author per 10,000 2 dialect per 10,000 canna 11 author per 10,000 9 dialect per 10,000 nae 11 author per 10,000 23 dialect per 10,000 hame 11 author per 10,000 7 dialect per 10,000 ither 11 author per 10,000 0 dialect per 10,000 chiel 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 0 dialect per 10,000 mind 11 author per 10,000 10 dialect per 10,000 himsel 11 author per 10,000 5 dialect per 10,000 mornin 11 author per 10,000 0 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 2 dialect per 10,000 yet 11 author per 10,000 2 dialect per 10,000 maun 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 12 dialect per 10,000 anither 10 author per 10,000 0 dialect per 10,000 nicht 10 author per 10,000 3 dialect per 10,000 bonnie 10 author per 10,000 0 dialect per 10,000 has 10 author per 10,000 3 dialect per 10,000 tak 10 author per 10,000 12 dialect per 10,000 yer 10 author per 10,000 0 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 11 dialect per 10,000 'but 10 author per 10,000 0 dialect per 10,000 faur 10 author per 10,000 0 dialect per 10,000 isna 10 author per 10,000 4 dialect per 10,000 need 10 author per 10,000 3 dialect per 10,000 cud 10 author per 10,000 0 dialect per 10,000 aince 9 author per 10,000 0 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 1 dialect per 10,000 hunder 9 author per 10,000 2 dialect per 10,000 wid 9 author per 10,000 38 dialect per 10,000 stertit 9 author per 10,000 0 dialect per 10,000 aff 9 author per 10,000 18 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 lassie 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 6 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 cudna 8 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 8 dialect per 10,000 watter 8 author per 10,000 3 dialect per 10,000 seen 8 author per 10,000 6 dialect per 10,000 ilka 8 author per 10,000 0 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 6 dialect per 10,000 nane 8 author per 10,000 2 dialect per 10,000 twa 8 author per 10,000 13 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 1 dialect per 10,000 suin 8 author per 10,000 0 dialect per 10,000 wha 8 author per 10,000 5 dialect per 10,000 added 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 10 dialect per 10,000 noo 8 author per 10,000 19 dialect per 10,000 dis 8 author per 10,000 53 dialect per 10,000 neep 8 author per 10,000 0 dialect per 10,000 get 8 author per 10,000 6 dialect per 10,000 bit 8 author per 10,000 38 dialect per 10,000 yird 8 author per 10,000 0 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 7 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 0 dialect per 10,000 micht 8 author per 10,000 4 dialect per 10,000 sair 8 author per 10,000 0 dialect per 10,000 say 7 author per 10,000 11 dialect per 10,000 nor 7 author per 10,000 3 dialect per 10,000 naething 7 author per 10,000 0 dialect per 10,000 hert 7 author per 10,000 3 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 0 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 7 dialect per 10,000 naebody 7 author per 10,000 3 dialect per 10,000 		Orkney
the 576 author per 10,000 581 dialect per 10,000 an 289 author per 10,000 179 dialect per 10,000 a 249 author per 10,000 296 dialect per 10,000 tae 235 author per 10,000 222 dialect per 10,000 ' 201 author per 10,000 10 dialect per 10,000 i 189 author per 10,000 156 dialect per 10,000 o 175 author per 10,000 199 dialect per 10,000 he 149 author per 10,000 88 dialect per 10,000 wis 113 author per 10,000 79 dialect per 10,000 said 110 author per 10,000 15 dialect per 10,000 ye 109 author per 10,000 17 dialect per 10,000 that 108 author per 10,000 75 dialect per 10,000 it 104 author per 10,000 23 dialect per 10,000 in 95 author per 10,000 147 dialect per 10,000 is 84 author per 10,000 73 dialect per 10,000 wee 83 author per 10,000 1 dialect per 10,000 but 76 author per 10,000 28 dialect per 10,000 on 75 author per 10,000 73 dialect per 10,000 his 75 author per 10,000 63 dialect per 10,000 her 72 author per 10,000 48 dialect per 10,000 wi 68 author per 10,000 48 dialect per 10,000 for 68 author per 10,000 24 dialect per 10,000 prince 62 author per 10,000 0 dialect per 10,000 me 62 author per 10,000 111 dialect per 10,000 she 61 author per 10,000 8 dialect per 10,000 my 58 author per 10,000 4 dialect per 10,000 as 55 author per 10,000 48 dialect per 10,000 they 54 author per 10,000 35 dialect per 10,000 had 53 author per 10,000 2 dialect per 10,000 at 47 author per 10,000 53 dialect per 10,000 are 45 author per 10,000 14 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 42 dialect per 10,000 €™ 40 author per 10,000 14 dialect per 10,000 hae 40 author per 10,000 12 dialect per 10,000 aw 39 author per 10,000 0 dialect per 10,000 them 37 author per 10,000 17 dialect per 10,000 this 36 author per 10,000 35 dialect per 10,000 syne 35 author per 10,000 0 dialect per 10,000 will 35 author per 10,000 9 dialect per 10,000 like 35 author per 10,000 31 dialect per 10,000 oot 34 author per 10,000 51 dialect per 10,000 €™s 34 author per 10,000 18 dialect per 10,000 him 32 author per 10,000 21 dialect per 10,000 jist 31 author per 10,000 3 dialect per 10,000 planet 31 author per 10,000 1 dialect per 10,000 'i 30 author per 10,000 2 dialect per 10,000 up 30 author per 10,000 33 dialect per 10,000 there 30 author per 10,000 18 dialect per 10,000 were 29 author per 10,000 7 dialect per 10,000 whit 28 author per 10,000 29 dialect per 10,000 whan 28 author per 10,000 8 dialect per 10,000 sae 28 author per 10,000 1 dialect per 10,000 ower 28 author per 10,000 18 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 1 dialect per 10,000 by 27 author per 10,000 16 dialect per 10,000 dae 26 author per 10,000 9 dialect per 10,000 can 26 author per 10,000 13 dialect per 10,000 € 25 author per 10,000 5 dialect per 10,000 muckle 25 author per 10,000 6 dialect per 10,000 intae 23 author per 10,000 18 dialect per 10,000 fae 23 author per 10,000 37 dialect per 10,000 gey 23 author per 10,000 3 dialect per 10,000 time 21 author per 10,000 18 dialect per 10,000 ken 21 author per 10,000 15 dialect per 10,000 speired 21 author per 10,000 0 dialect per 10,000 didna 21 author per 10,000 9 dialect per 10,000 guid 20 author per 10,000 2 dialect per 10,000 ane 20 author per 10,000 1 dialect per 10,000 forby 20 author per 10,000 1 dialect per 10,000 ae 20 author per 10,000 1 dialect per 10,000 or 19 author per 10,000 30 dialect per 10,000 flooer 19 author per 10,000 1 dialect per 10,000 day 19 author per 10,000 21 dialect per 10,000 awa 19 author per 10,000 1 dialect per 10,000 sheep 18 author per 10,000 2 dialect per 10,000 doon 18 author per 10,000 28 dialect per 10,000 dinna 18 author per 10,000 4 dialect per 10,000 frae 18 author per 10,000 0 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 been 17 author per 10,000 18 dialect per 10,000 their 17 author per 10,000 7 dialect per 10,000 your 17 author per 10,000 5 dialect per 10,000 am 16 author per 10,000 6 dialect per 10,000 wad 16 author per 10,000 2 dialect per 10,000 you 16 author per 10,000 33 dialect per 10,000 afore 16 author per 10,000 13 dialect per 10,000 ma 16 author per 10,000 1 dialect per 10,000 lang 16 author per 10,000 2 dialect per 10,000 back 16 author per 10,000 27 dialect per 10,000 gin 16 author per 10,000 1 dialect per 10,000 answert 16 author per 10,000 0 dialect per 10,000 bodie 15 author per 10,000 0 dialect per 10,000 poued 15 author per 10,000 0 dialect per 10,000 saw 15 author per 10,000 1 dialect per 10,000 whaur 15 author per 10,000 1 dialect per 10,000 yon 15 author per 10,000 0 dialect per 10,000 richt 15 author per 10,000 0 dialect per 10,000 again 14 author per 10,000 12 dialect per 10,000 first 14 author per 10,000 7 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 2 dialect per 10,000 come 14 author per 10,000 10 dialect per 10,000 cam 14 author per 10,000 8 dialect per 10,000 king 13 author per 10,000 0 dialect per 10,000 'it 13 author per 10,000 0 dialect per 10,000 haill 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 59 dialect per 10,000 aboot 13 author per 10,000 26 dialect per 10,000 wisna 13 author per 10,000 4 dialect per 10,000 we 13 author per 10,000 30 dialect per 10,000 weel 13 author per 10,000 18 dialect per 10,000 then 12 author per 10,000 18 dialect per 10,000 made 12 author per 10,000 3 dialect per 10,000 oor 12 author per 10,000 2 dialect per 10,000 tod 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 2 dialect per 10,000 thocht 12 author per 10,000 0 dialect per 10,000 efter 12 author per 10,000 6 dialect per 10,000 doun 12 author per 10,000 0 dialect per 10,000 thing 12 author per 10,000 8 dialect per 10,000 here 12 author per 10,000 12 dialect per 10,000 €“ 11 author per 10,000 14 dialect per 10,000 canna 11 author per 10,000 3 dialect per 10,000 nae 11 author per 10,000 3 dialect per 10,000 hame 11 author per 10,000 1 dialect per 10,000 ither 11 author per 10,000 9 dialect per 10,000 chiel 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 0 dialect per 10,000 mind 11 author per 10,000 10 dialect per 10,000 himsel 11 author per 10,000 1 dialect per 10,000 mornin 11 author per 10,000 0 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 6 dialect per 10,000 yet 11 author per 10,000 6 dialect per 10,000 maun 10 author per 10,000 0 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 nicht 10 author per 10,000 0 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 has 10 author per 10,000 1 dialect per 10,000 tak 10 author per 10,000 13 dialect per 10,000 yer 10 author per 10,000 7 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 9 dialect per 10,000 'but 10 author per 10,000 0 dialect per 10,000 faur 10 author per 10,000 0 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 4 dialect per 10,000 cud 10 author per 10,000 0 dialect per 10,000 aince 9 author per 10,000 0 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 9 dialect per 10,000 hunder 9 author per 10,000 2 dialect per 10,000 wid 9 author per 10,000 20 dialect per 10,000 stertit 9 author per 10,000 0 dialect per 10,000 aff 9 author per 10,000 8 dialect per 10,000 luve 9 author per 10,000 1 dialect per 10,000 lassie 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 8 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 cudna 8 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 11 dialect per 10,000 watter 8 author per 10,000 4 dialect per 10,000 seen 8 author per 10,000 7 dialect per 10,000 ilka 8 author per 10,000 0 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 5 dialect per 10,000 nane 8 author per 10,000 0 dialect per 10,000 twa 8 author per 10,000 10 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 2 dialect per 10,000 suin 8 author per 10,000 0 dialect per 10,000 wha 8 author per 10,000 4 dialect per 10,000 added 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 5 dialect per 10,000 noo 8 author per 10,000 27 dialect per 10,000 dis 8 author per 10,000 1 dialect per 10,000 neep 8 author per 10,000 1 dialect per 10,000 get 8 author per 10,000 10 dialect per 10,000 bit 8 author per 10,000 48 dialect per 10,000 yird 8 author per 10,000 0 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 7 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 10 dialect per 10,000 micht 8 author per 10,000 0 dialect per 10,000 sair 8 author per 10,000 0 dialect per 10,000 say 7 author per 10,000 10 dialect per 10,000 nor 7 author per 10,000 1 dialect per 10,000 naething 7 author per 10,000 0 dialect per 10,000 hert 7 author per 10,000 4 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 2 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 9 dialect per 10,000 naebody 7 author per 10,000 0 dialect per 10,000
Southern
the 576 author per 10,000 438 dialect per 10,000 an 289 author per 10,000 310 dialect per 10,000 a 249 author per 10,000 223 dialect per 10,000 tae 235 author per 10,000 203 dialect per 10,000 ' 201 author per 10,000 6 dialect per 10,000 i 189 author per 10,000 78 dialect per 10,000 o 175 author per 10,000 214 dialect per 10,000 he 149 author per 10,000 11 dialect per 10,000 wis 113 author per 10,000 58 dialect per 10,000 said 110 author per 10,000 70 dialect per 10,000 ye 109 author per 10,000 19 dialect per 10,000 that 108 author per 10,000 64 dialect per 10,000 it 104 author per 10,000 58 dialect per 10,000 in 95 author per 10,000 106 dialect per 10,000 is 84 author per 10,000 65 dialect per 10,000 wee 83 author per 10,000 23 dialect per 10,000 but 76 author per 10,000 38 dialect per 10,000 on 75 author per 10,000 56 dialect per 10,000 his 75 author per 10,000 37 dialect per 10,000 her 72 author per 10,000 16 dialect per 10,000 wi 68 author per 10,000 71 dialect per 10,000 for 68 author per 10,000 22 dialect per 10,000 prince 62 author per 10,000 0 dialect per 10,000 me 62 author per 10,000 14 dialect per 10,000 she 61 author per 10,000 97 dialect per 10,000 my 58 author per 10,000 1 dialect per 10,000 as 55 author per 10,000 50 dialect per 10,000 they 54 author per 10,000 30 dialect per 10,000 had 53 author per 10,000 0 dialect per 10,000 at 47 author per 10,000 74 dialect per 10,000 are 45 author per 10,000 9 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 12 dialect per 10,000 €™ 40 author per 10,000 15 dialect per 10,000 hae 40 author per 10,000 38 dialect per 10,000 aw 39 author per 10,000 34 dialect per 10,000 them 37 author per 10,000 4 dialect per 10,000 this 36 author per 10,000 35 dialect per 10,000 syne 35 author per 10,000 5 dialect per 10,000 will 35 author per 10,000 1 dialect per 10,000 like 35 author per 10,000 7 dialect per 10,000 oot 34 author per 10,000 35 dialect per 10,000 €™s 34 author per 10,000 37 dialect per 10,000 him 32 author per 10,000 11 dialect per 10,000 jist 31 author per 10,000 12 dialect per 10,000 planet 31 author per 10,000 0 dialect per 10,000 'i 30 author per 10,000 0 dialect per 10,000 up 30 author per 10,000 41 dialect per 10,000 there 30 author per 10,000 16 dialect per 10,000 were 29 author per 10,000 16 dialect per 10,000 whit 28 author per 10,000 32 dialect per 10,000 whan 28 author per 10,000 32 dialect per 10,000 sae 28 author per 10,000 26 dialect per 10,000 ower 28 author per 10,000 14 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 16 dialect per 10,000 by 27 author per 10,000 3 dialect per 10,000 dae 26 author per 10,000 15 dialect per 10,000 can 26 author per 10,000 10 dialect per 10,000 € 25 author per 10,000 15 dialect per 10,000 muckle 25 author per 10,000 6 dialect per 10,000 intae 23 author per 10,000 10 dialect per 10,000 fae 23 author per 10,000 0 dialect per 10,000 gey 23 author per 10,000 8 dialect per 10,000 time 21 author per 10,000 13 dialect per 10,000 ken 21 author per 10,000 18 dialect per 10,000 speired 21 author per 10,000 0 dialect per 10,000 didna 21 author per 10,000 2 dialect per 10,000 guid 20 author per 10,000 13 dialect per 10,000 ane 20 author per 10,000 9 dialect per 10,000 forby 20 author per 10,000 0 dialect per 10,000 ae 20 author per 10,000 73 dialect per 10,000 or 19 author per 10,000 22 dialect per 10,000 flooer 19 author per 10,000 0 dialect per 10,000 day 19 author per 10,000 18 dialect per 10,000 awa 19 author per 10,000 15 dialect per 10,000 sheep 18 author per 10,000 2 dialect per 10,000 doon 18 author per 10,000 25 dialect per 10,000 dinna 18 author per 10,000 2 dialect per 10,000 frae 18 author per 10,000 41 dialect per 10,000 see 18 author per 10,000 5 dialect per 10,000 been 17 author per 10,000 10 dialect per 10,000 their 17 author per 10,000 13 dialect per 10,000 your 17 author per 10,000 0 dialect per 10,000 am 16 author per 10,000 1 dialect per 10,000 wad 16 author per 10,000 5 dialect per 10,000 you 16 author per 10,000 2 dialect per 10,000 afore 16 author per 10,000 16 dialect per 10,000 ma 16 author per 10,000 59 dialect per 10,000 lang 16 author per 10,000 13 dialect per 10,000 back 16 author per 10,000 20 dialect per 10,000 gin 16 author per 10,000 9 dialect per 10,000 answert 16 author per 10,000 0 dialect per 10,000 bodie 15 author per 10,000 1 dialect per 10,000 poued 15 author per 10,000 0 dialect per 10,000 saw 15 author per 10,000 3 dialect per 10,000 whaur 15 author per 10,000 8 dialect per 10,000 yon 15 author per 10,000 11 dialect per 10,000 richt 15 author per 10,000 20 dialect per 10,000 again 14 author per 10,000 3 dialect per 10,000 first 14 author per 10,000 1 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 7 dialect per 10,000 cam 14 author per 10,000 3 dialect per 10,000 king 13 author per 10,000 9 dialect per 10,000 'it 13 author per 10,000 0 dialect per 10,000 haill 13 author per 10,000 2 dialect per 10,000 no 13 author per 10,000 29 dialect per 10,000 aboot 13 author per 10,000 31 dialect per 10,000 wisna 13 author per 10,000 1 dialect per 10,000 we 13 author per 10,000 10 dialect per 10,000 weel 13 author per 10,000 4 dialect per 10,000 then 12 author per 10,000 16 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 oor 12 author per 10,000 11 dialect per 10,000 tod 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 7 dialect per 10,000 thocht 12 author per 10,000 14 dialect per 10,000 efter 12 author per 10,000 14 dialect per 10,000 doun 12 author per 10,000 9 dialect per 10,000 thing 12 author per 10,000 2 dialect per 10,000 here 12 author per 10,000 14 dialect per 10,000 €“ 11 author per 10,000 5 dialect per 10,000 canna 11 author per 10,000 2 dialect per 10,000 nae 11 author per 10,000 25 dialect per 10,000 hame 11 author per 10,000 9 dialect per 10,000 ither 11 author per 10,000 13 dialect per 10,000 chiel 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 4 dialect per 10,000 mind 11 author per 10,000 8 dialect per 10,000 himsel 11 author per 10,000 1 dialect per 10,000 mornin 11 author per 10,000 2 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 17 dialect per 10,000 yet 11 author per 10,000 4 dialect per 10,000 maun 10 author per 10,000 3 dialect per 10,000 mak 10 author per 10,000 8 dialect per 10,000 anither 10 author per 10,000 8 dialect per 10,000 nicht 10 author per 10,000 7 dialect per 10,000 bonnie 10 author per 10,000 2 dialect per 10,000 has 10 author per 10,000 1 dialect per 10,000 tak 10 author per 10,000 9 dialect per 10,000 yer 10 author per 10,000 10 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 10 dialect per 10,000 'but 10 author per 10,000 0 dialect per 10,000 faur 10 author per 10,000 2 dialect per 10,000 isna 10 author per 10,000 1 dialect per 10,000 need 10 author per 10,000 1 dialect per 10,000 cud 10 author per 10,000 0 dialect per 10,000 aince 9 author per 10,000 3 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 7 dialect per 10,000 hunder 9 author per 10,000 1 dialect per 10,000 wid 9 author per 10,000 1 dialect per 10,000 stertit 9 author per 10,000 1 dialect per 10,000 aff 9 author per 10,000 4 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 lassie 9 author per 10,000 3 dialect per 10,000 last 9 author per 10,000 5 dialect per 10,000 auld 9 author per 10,000 20 dialect per 10,000 cudna 8 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 22 dialect per 10,000 watter 8 author per 10,000 1 dialect per 10,000 seen 8 author per 10,000 5 dialect per 10,000 ilka 8 author per 10,000 3 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 2 dialect per 10,000 nane 8 author per 10,000 2 dialect per 10,000 twa 8 author per 10,000 3 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 0 dialect per 10,000 suin 8 author per 10,000 2 dialect per 10,000 wha 8 author per 10,000 1 dialect per 10,000 added 8 author per 10,000 4 dialect per 10,000 kent 8 author per 10,000 11 dialect per 10,000 noo 8 author per 10,000 11 dialect per 10,000 dis 8 author per 10,000 2 dialect per 10,000 neep 8 author per 10,000 0 dialect per 10,000 get 8 author per 10,000 10 dialect per 10,000 bit 8 author per 10,000 15 dialect per 10,000 yird 8 author per 10,000 2 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 5 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 4 dialect per 10,000 micht 8 author per 10,000 9 dialect per 10,000 sair 8 author per 10,000 2 dialect per 10,000 say 7 author per 10,000 18 dialect per 10,000 nor 7 author per 10,000 5 dialect per 10,000 naething 7 author per 10,000 1 dialect per 10,000 hert 7 author per 10,000 4 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 5 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 2 dialect per 10,000 naebody 7 author per 10,000 2 dialect per 10,000 		Ulster
the 576 author per 10,000 296 dialect per 10,000 an 289 author per 10,000 364 dialect per 10,000 a 249 author per 10,000 284 dialect per 10,000 tae 235 author per 10,000 259 dialect per 10,000 ' 201 author per 10,000 11 dialect per 10,000 i 189 author per 10,000 10 dialect per 10,000 o 175 author per 10,000 210 dialect per 10,000 he 149 author per 10,000 63 dialect per 10,000 wis 113 author per 10,000 1 dialect per 10,000 said 110 author per 10,000 29 dialect per 10,000 ye 109 author per 10,000 79 dialect per 10,000 that 108 author per 10,000 72 dialect per 10,000 it 104 author per 10,000 71 dialect per 10,000 in 95 author per 10,000 120 dialect per 10,000 is 84 author per 10,000 19 dialect per 10,000 wee 83 author per 10,000 26 dialect per 10,000 but 76 author per 10,000 42 dialect per 10,000 on 75 author per 10,000 54 dialect per 10,000 his 75 author per 10,000 19 dialect per 10,000 her 72 author per 10,000 7 dialect per 10,000 wi 68 author per 10,000 61 dialect per 10,000 for 68 author per 10,000 33 dialect per 10,000 prince 62 author per 10,000 0 dialect per 10,000 me 62 author per 10,000 24 dialect per 10,000 she 61 author per 10,000 13 dialect per 10,000 my 58 author per 10,000 2 dialect per 10,000 as 55 author per 10,000 29 dialect per 10,000 they 54 author per 10,000 26 dialect per 10,000 had 53 author per 10,000 15 dialect per 10,000 at 47 author per 10,000 58 dialect per 10,000 are 45 author per 10,000 4 dialect per 10,000 kat 44 author per 10,000 0 dialect per 10,000 be 43 author per 10,000 40 dialect per 10,000 €™ 40 author per 10,000 16 dialect per 10,000 hae 40 author per 10,000 55 dialect per 10,000 aw 39 author per 10,000 1 dialect per 10,000 them 37 author per 10,000 7 dialect per 10,000 this 36 author per 10,000 28 dialect per 10,000 syne 35 author per 10,000 1 dialect per 10,000 will 35 author per 10,000 2 dialect per 10,000 like 35 author per 10,000 9 dialect per 10,000 oot 34 author per 10,000 51 dialect per 10,000 €™s 34 author per 10,000 11 dialect per 10,000 him 32 author per 10,000 9 dialect per 10,000 jist 31 author per 10,000 9 dialect per 10,000 planet 31 author per 10,000 0 dialect per 10,000 'i 30 author per 10,000 0 dialect per 10,000 up 30 author per 10,000 31 dialect per 10,000 there 30 author per 10,000 6 dialect per 10,000 were 29 author per 10,000 5 dialect per 10,000 whit 28 author per 10,000 2 dialect per 10,000 whan 28 author per 10,000 16 dialect per 10,000 sae 28 author per 10,000 26 dialect per 10,000 ower 28 author per 10,000 16 dialect per 10,000 doug 27 author per 10,000 0 dialect per 10,000 mair 27 author per 10,000 30 dialect per 10,000 by 27 author per 10,000 8 dialect per 10,000 dae 26 author per 10,000 24 dialect per 10,000 can 26 author per 10,000 14 dialect per 10,000 € 25 author per 10,000 4 dialect per 10,000 muckle 25 author per 10,000 2 dialect per 10,000 intae 23 author per 10,000 13 dialect per 10,000 fae 23 author per 10,000 14 dialect per 10,000 gey 23 author per 10,000 0 dialect per 10,000 time 21 author per 10,000 13 dialect per 10,000 ken 21 author per 10,000 4 dialect per 10,000 speired 21 author per 10,000 0 dialect per 10,000 didna 21 author per 10,000 0 dialect per 10,000 guid 20 author per 10,000 18 dialect per 10,000 ane 20 author per 10,000 0 dialect per 10,000 forby 20 author per 10,000 0 dialect per 10,000 ae 20 author per 10,000 0 dialect per 10,000 or 19 author per 10,000 36 dialect per 10,000 flooer 19 author per 10,000 0 dialect per 10,000 day 19 author per 10,000 15 dialect per 10,000 awa 19 author per 10,000 16 dialect per 10,000 sheep 18 author per 10,000 1 dialect per 10,000 doon 18 author per 10,000 28 dialect per 10,000 dinna 18 author per 10,000 0 dialect per 10,000 frae 18 author per 10,000 33 dialect per 10,000 see 18 author per 10,000 16 dialect per 10,000 been 17 author per 10,000 2 dialect per 10,000 their 17 author per 10,000 6 dialect per 10,000 your 17 author per 10,000 1 dialect per 10,000 am 16 author per 10,000 3 dialect per 10,000 wad 16 author per 10,000 1 dialect per 10,000 you 16 author per 10,000 4 dialect per 10,000 afore 16 author per 10,000 12 dialect per 10,000 ma 16 author per 10,000 21 dialect per 10,000 lang 16 author per 10,000 12 dialect per 10,000 back 16 author per 10,000 3 dialect per 10,000 gin 16 author per 10,000 6 dialect per 10,000 answert 16 author per 10,000 1 dialect per 10,000 bodie 15 author per 10,000 8 dialect per 10,000 poued 15 author per 10,000 0 dialect per 10,000 saw 15 author per 10,000 1 dialect per 10,000 whaur 15 author per 10,000 3 dialect per 10,000 yon 15 author per 10,000 0 dialect per 10,000 richt 15 author per 10,000 14 dialect per 10,000 again 14 author per 10,000 2 dialect per 10,000 first 14 author per 10,000 1 dialect per 10,000 atalanta 14 author per 10,000 0 dialect per 10,000 starns 14 author per 10,000 0 dialect per 10,000 come 14 author per 10,000 9 dialect per 10,000 cam 14 author per 10,000 0 dialect per 10,000 king 13 author per 10,000 5 dialect per 10,000 'it 13 author per 10,000 0 dialect per 10,000 haill 13 author per 10,000 0 dialect per 10,000 no 13 author per 10,000 22 dialect per 10,000 aboot 13 author per 10,000 27 dialect per 10,000 wisna 13 author per 10,000 0 dialect per 10,000 we 13 author per 10,000 18 dialect per 10,000 weel 13 author per 10,000 13 dialect per 10,000 then 12 author per 10,000 17 dialect per 10,000 made 12 author per 10,000 6 dialect per 10,000 oor 12 author per 10,000 16 dialect per 10,000 tod 12 author per 10,000 0 dialect per 10,000 its 12 author per 10,000 8 dialect per 10,000 thocht 12 author per 10,000 11 dialect per 10,000 efter 12 author per 10,000 5 dialect per 10,000 doun 12 author per 10,000 0 dialect per 10,000 thing 12 author per 10,000 7 dialect per 10,000 here 12 author per 10,000 10 dialect per 10,000 €“ 11 author per 10,000 0 dialect per 10,000 canna 11 author per 10,000 0 dialect per 10,000 nae 11 author per 10,000 23 dialect per 10,000 hame 11 author per 10,000 9 dialect per 10,000 ither 11 author per 10,000 16 dialect per 10,000 chiel 11 author per 10,000 0 dialect per 10,000 fowk 11 author per 10,000 23 dialect per 10,000 mind 11 author per 10,000 3 dialect per 10,000 himsel 11 author per 10,000 1 dialect per 10,000 mornin 11 author per 10,000 0 dialect per 10,000 hippomenes 11 author per 10,000 0 dialect per 10,000 heid 11 author per 10,000 12 dialect per 10,000 yet 11 author per 10,000 1 dialect per 10,000 maun 10 author per 10,000 8 dialect per 10,000 mak 10 author per 10,000 10 dialect per 10,000 anither 10 author per 10,000 9 dialect per 10,000 nicht 10 author per 10,000 6 dialect per 10,000 bonnie 10 author per 10,000 0 dialect per 10,000 has 10 author per 10,000 1 dialect per 10,000 tak 10 author per 10,000 14 dialect per 10,000 yer 10 author per 10,000 38 dialect per 10,000 luiked 10 author per 10,000 0 dialect per 10,000 aye 10 author per 10,000 12 dialect per 10,000 'but 10 author per 10,000 0 dialect per 10,000 faur 10 author per 10,000 1 dialect per 10,000 isna 10 author per 10,000 0 dialect per 10,000 need 10 author per 10,000 4 dialect per 10,000 cud 10 author per 10,000 13 dialect per 10,000 aince 9 author per 10,000 0 dialect per 10,000 chaipter 9 author per 10,000 0 dialect per 10,000 daedalus 9 author per 10,000 0 dialect per 10,000 arachne 9 author per 10,000 0 dialect per 10,000 think 9 author per 10,000 7 dialect per 10,000 hunder 9 author per 10,000 0 dialect per 10,000 wid 9 author per 10,000 1 dialect per 10,000 stertit 9 author per 10,000 0 dialect per 10,000 aff 9 author per 10,000 15 dialect per 10,000 luve 9 author per 10,000 0 dialect per 10,000 lassie 9 author per 10,000 0 dialect per 10,000 last 9 author per 10,000 4 dialect per 10,000 auld 9 author per 10,000 1 dialect per 10,000 cudna 8 author per 10,000 0 dialect per 10,000 hoose 8 author per 10,000 13 dialect per 10,000 watter 8 author per 10,000 3 dialect per 10,000 seen 8 author per 10,000 4 dialect per 10,000 ilka 8 author per 10,000 2 dialect per 10,000 goddess 8 author per 10,000 0 dialect per 10,000 pit 8 author per 10,000 11 dialect per 10,000 nane 8 author per 10,000 2 dialect per 10,000 twa 8 author per 10,000 12 dialect per 10,000 theseus 8 author per 10,000 0 dialect per 10,000 cloot 8 author per 10,000 0 dialect per 10,000 suin 8 author per 10,000 0 dialect per 10,000 wha 8 author per 10,000 10 dialect per 10,000 added 8 author per 10,000 0 dialect per 10,000 kent 8 author per 10,000 1 dialect per 10,000 noo 8 author per 10,000 23 dialect per 10,000 dis 8 author per 10,000 0 dialect per 10,000 neep 8 author per 10,000 0 dialect per 10,000 get 8 author per 10,000 8 dialect per 10,000 bit 8 author per 10,000 10 dialect per 10,000 yird 8 author per 10,000 0 dialect per 10,000 athena 8 author per 10,000 0 dialect per 10,000 year 8 author per 10,000 2 dialect per 10,000 geographer 8 author per 10,000 0 dialect per 10,000 wey 8 author per 10,000 0 dialect per 10,000 micht 8 author per 10,000 6 dialect per 10,000 sair 8 author per 10,000 1 dialect per 10,000 say 7 author per 10,000 10 dialect per 10,000 nor 7 author per 10,000 12 dialect per 10,000 naething 7 author per 10,000 0 dialect per 10,000 hert 7 author per 10,000 0 dialect per 10,000 'ay 7 author per 10,000 0 dialect per 10,000 hou 7 author per 10,000 0 dialect per 10,000 growen-ups 7 author per 10,000 0 dialect per 10,000 things 7 author per 10,000 4 dialect per 10,000 naebody 7 author per 10,000 0 dialect per 10,000