A Corpus of 21st Century Scots Texts

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- fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Beckett, Mavis Duncan

Basic Stats

Total words by this author in corpus - 1,044
Total unique words used by this author in corpus - 429
Ratio of total words to unique words - 2.434
Tagged as LAL (General Central) dialect.
Top ten most common words - a, wis, the, tae, an, she, ma, auntie, aggie, ye,

List of texts in corpus

Lallans 83 - Born Hamelt
Lallans Magazine (2013-12 ) in Central dialect (LAL), categorised as poetry (133 words)
Lallans 59 - Auntie Aggie
Lallans Magazine (2001-09-01 ) in Central dialect (LAL), categorised as prose (911 words)

Author word Keyness frequencies

This should list the words that the author uses in a disproportionate manner more often than other writers in the corpus. This may include (a) proper nouns (character names in the author's stories), (b) other words related to the specific subject matter and (c) words specific to the regional dialect.
WordCount Normalised
per million		 Keyness
aggie16 15,325.67214.091
auntie18 17,241.38170.334
wis47 45,019.1669.124
zoo7 6,704.9867.319
rugby5 4,789.2746.205
forfochten3 2,873.5637.034
lyke5 4,789.2736.600
kirsty5 4,789.2735.265
wisna7 6,704.9826.634
she20 19,157.0923.953
ma18 17,241.3823.924
lykit2 1,915.7123.868
skivin2 1,915.7123.868
strowth2 1,915.7123.868
puggies2 1,915.7123.868
maw4 3,831.4223.277
a59 56,513.4121.344
says7 6,704.9821.255
gaun7 6,704.9820.973
werna2 1,915.7120.961
herr2 1,915.7120.961
beady2 1,915.7119.319
poud2 1,915.7119.319
hamelt3 2,873.5619.303
cuid5 4,789.2719.011
cages2 1,915.7118.699
a'd3 2,873.5617.527
daen3 2,873.5617.156
awfu3 2,873.5616.561
towe2 1,915.7116.225
nivver4 3,831.4215.545
ye're3 2,873.5615.330
but14 13,409.9614.867
onything3 2,873.5614.003
born3 2,873.5613.607
me12 11,494.2513.511
in4 3,831.4213.485
we're3 2,873.5613.465
cloot2 1,915.7112.535
daur2 1,915.7112.418
shairly2 1,915.7111.879
whit9 8,620.6911.597
fur10 9,578.5411.567
o't2 1,915.7110.985
a'm3 2,873.5610.967
agin3 2,873.5610.410
mibbie2 1,915.7110.197
wird3 2,873.5610.004
thon5 4,789.279.883
onywey2 1,915.719.827
she's2 1,915.719.827
makkit2 1,915.719.438
ye14 13,409.968.873
wan4 3,831.428.714
wir4 3,831.428.425
oh3 2,873.568.337
o10 9,578.547.901
inglish2 1,915.717.871
didna4 3,831.427.836
watchin2 1,915.717.606
flair2 1,915.717.542
shut2 1,915.717.449
the41 39,272.037.394
mooth2 1,915.717.300
ago2 1,915.717.129
whan5 4,789.276.889
ask2 1,915.716.759
see6 5,747.136.701
on14 13,409.966.608
dae5 4,789.276.488
cam4 3,831.426.381
duin2 1,915.716.019
leuk2 1,915.715.550
bad2 1,915.715.381
bonnie2 1,915.715.299
makkin2 1,915.714.948
back6 5,747.134.726
tae33 31,609.204.445
hoo2 1,915.714.132
mak3 2,873.563.413
gang2 1,915.713.295
kin2 1,915.713.231
come3 2,873.563.148
ee-broos2 1,915.71nan
years2 1,915.713.108
wee5 4,789.272.648
thaim3 2,873.562.634
face2 1,915.712.449
as3 2,873.562.264
noo4 3,831.422.249
mither2 1,915.712.233
so3 2,873.562.212
wi12 11,494.251.946
oot2 1,915.711.629
ken3 2,873.561.562
richt3 2,873.561.540
door2 1,915.711.524
get3 2,873.561.501
een2 1,915.711.412
had3 2,873.561.323
think2 1,915.711.254
it's2 1,915.711.251
thocht2 1,915.711.005
hoose2 1,915.710.973
pit2 1,915.710.948
got2 1,915.710.827
aw4 3,831.420.809
heid2 1,915.710.748
guid2 1,915.710.616
i8 7,662.840.549
here2 1,915.710.510
efter2 1,915.710.494
her7 6,704.980.469
aboot2 1,915.710.459
weel2 1,915.710.406
are2 1,915.710.330
us2 1,915.710.267
up5 4,789.270.222
twa2 1,915.710.219
an29 27,777.780.167
we5 4,789.270.139
it11 10,536.400.136
ay2 1,915.710.134
teegers2 1,915.71nan
jist2 1,915.710.111
if2 1,915.710.109
hae3 2,873.560.106
ower2 1,915.710.049
that11 10,536.400.045
no3 2,873.560.031
doon2 1,915.710.030
at7 6,704.980.013
huidie2 1,915.71nan
their2 1,915.710.028
mair2 1,915.710.012
time2 1,915.710.012
you2 1,915.710.010
nae3 2,873.560.000