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 15,325.67213.630
auntie18 17,241.38169.818
wis47 45,019.1668.293
zoo7 6,704.9867.118
rugby5 4,789.2746.062
forfochten3 2,873.5636.947
lyke5 4,789.2736.458
kirsty5 4,789.2735.123
wisna7 6,704.9826.444
lykit2 1,915.7123.810
skivin2 1,915.7123.810
puggies2 1,915.7123.810
strowth2 1,915.7123.810
ma18 17,241.3823.792
she20 19,157.0923.661
maw4 3,831.4223.165
a59 56,513.4121.635
says7 6,704.9821.133
werna2 1,915.7120.903
herr2 1,915.7120.903
gaun7 6,704.9820.829
beady2 1,915.7119.262
poud2 1,915.7119.262
hamelt3 2,873.5619.218
cuid5 4,789.2718.875
cages2 1,915.7118.642
daen3 2,873.5617.838
a'd3 2,873.5617.442
awfu3 2,873.5616.477
towe2 1,915.7116.168
nivver4 3,831.4215.470
ye're3 2,873.5615.246
but14 13,409.9614.873
onything3 2,873.5613.920
daur2 1,915.7113.735
born3 2,873.5613.620
me12 11,494.2513.568
in4 3,831.4213.464
we're3 2,873.5613.429
cloot2 1,915.7112.479
fur10 9,578.5411.833
shairly2 1,915.7111.822
whit9 8,620.6911.468
o't2 1,915.7110.929
a'm3 2,873.5610.886
agin3 2,873.5610.491
mibbie2 1,915.7110.141
thon5 4,789.2710.120
wird3 2,873.569.925
onywey2 1,915.719.831
she's2 1,915.719.772
makkit2 1,915.719.544
ye14 13,409.968.972
wan4 3,831.428.771
wir4 3,831.428.338
oh3 2,873.568.294
o10 9,578.547.847
inglish2 1,915.717.816
the41 39,272.037.749
watchin2 1,915.717.748
didna4 3,831.427.740
flair2 1,915.717.488
shut2 1,915.717.426
mooth2 1,915.717.365
ago2 1,915.717.188
whan5 4,789.276.883
ask2 1,915.716.730
see6 5,747.136.695
on14 13,409.966.656
dae5 4,789.276.465
cam4 3,831.426.313
duin2 1,915.715.986
leuk2 1,915.715.499
bad2 1,915.715.362
bonnie2 1,915.715.248
makkin2 1,915.714.956
back6 5,747.134.644
tae33 31,609.204.469
hoo2 1,915.714.229
mak3 2,873.563.419
gang2 1,915.713.314
kin2 1,915.713.193
years2 1,915.713.123
ee-broos2 1,915.71nan
come3 2,873.563.115
wee5 4,789.272.683
thaim3 2,873.562.641
face2 1,915.712.412
noo4 3,831.422.308
as3 2,873.562.268
mither2 1,915.712.223
so3 2,873.562.175
wi12 11,494.251.922
oot2 1,915.711.636
ken3 2,873.561.549
richt3 2,873.561.514
get3 2,873.561.492
door2 1,915.711.490
een2 1,915.711.392
had3 2,873.561.390
think2 1,915.711.258
it's2 1,915.711.217
thocht2 1,915.711.005
hoose2 1,915.710.973
pit2 1,915.710.952
got2 1,915.710.859
aw4 3,831.420.773
heid2 1,915.710.753
guid2 1,915.710.638
i8 7,662.840.522
here2 1,915.710.512
efter2 1,915.710.503
aboot2 1,915.710.459
weel2 1,915.710.439
her7 6,704.980.434
are2 1,915.710.322
us2 1,915.710.293
twa2 1,915.710.228
up5 4,789.270.224
an29 27,777.780.189
we5 4,789.270.161
it11 10,536.400.136
hae3 2,873.560.118
jist2 1,915.710.116
if2 1,915.710.111
teegers2 1,915.71nan
ay2 1,915.710.125
ower2 1,915.710.053
huidie2 1,915.71nan
that11 10,536.400.048
doon2 1,915.710.029
no3 2,873.560.027
their2 1,915.710.026
at7 6,704.980.011
mair2 1,915.710.011
time2 1,915.710.011
you2 1,915.710.007
nae3 2,873.560.000