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 15,325.67213.698
auntie18 17,241.38170.501
wis47 45,019.1668.483
zoo7 6,704.9867.147
rugby5 4,789.2746.083
forfochten3 2,873.5636.960
lyke5 4,789.2736.479
kirsty5 4,789.2735.143
wisna7 6,704.9826.860
lykit2 1,915.7123.819
skivin2 1,915.7123.819
puggies2 1,915.7123.819
strowth2 1,915.7123.819
she20 19,157.0923.350
maw4 3,831.4223.181
ma18 17,241.3822.517
a59 56,513.4121.486
werna2 1,915.7120.912
herr2 1,915.7120.912
gaun7 6,704.9820.658
says7 6,704.9820.444
cages2 1,915.7120.006
beady2 1,915.7119.270
poud2 1,915.7119.270
hamelt3 2,873.5619.231
cuid5 4,789.2718.613
daen3 2,873.5618.058
a'd3 2,873.5617.454
awfu3 2,873.5616.489
towe2 1,915.7116.177
nivver4 3,831.4215.759
ye're3 2,873.5615.324
but14 13,409.9614.714
onything3 2,873.5613.932
daur2 1,915.7113.743
we're3 2,873.5613.488
born3 2,873.5613.441
in4 3,831.4213.434
me12 11,494.2512.968
cloot2 1,915.7112.255
shairly2 1,915.7111.830
fur10 9,578.5411.575
whit9 8,620.6911.330
o't2 1,915.7110.937
a'm3 2,873.5610.898
agin3 2,873.5610.530
thon5 4,789.2710.436
mibbie2 1,915.7110.085
wird3 2,873.569.936
onywey2 1,915.719.839
she's2 1,915.719.780
makkit2 1,915.719.608
ye14 13,409.968.821
wan4 3,831.428.559
wir4 3,831.428.409
oh3 2,873.568.270
inglish2 1,915.717.824
didna4 3,831.427.815
o10 9,578.547.754
watchin2 1,915.717.689
the41 39,272.037.674
flair2 1,915.717.465
ago2 1,915.717.283
mooth2 1,915.717.225
shut2 1,915.717.167
whan5 4,789.276.939
on14 13,409.966.757
see6 5,747.136.682
ask2 1,915.716.566
dae5 4,789.276.378
cam4 3,831.426.311
duin2 1,915.715.954
leuk2 1,915.715.667
bonnie2 1,915.715.320
bad2 1,915.715.255
makkin2 1,915.714.993
back6 5,747.134.635
tae33 31,609.204.547
hoo2 1,915.714.236
mak3 2,873.563.509
gang2 1,915.713.329
kin2 1,915.713.192
years2 1,915.713.122
ee-broos2 1,915.71nan
come3 2,873.563.120
wee5 4,789.272.651
thaim3 2,873.562.613
face2 1,915.712.373
noo4 3,831.422.285
mither2 1,915.712.260
as3 2,873.562.224
so3 2,873.562.179
wi12 11,494.251.985
oot2 1,915.711.644
ken3 2,873.561.584
richt3 2,873.561.536
door2 1,915.711.524
get3 2,873.561.439
een2 1,915.711.424
had3 2,873.561.399
think2 1,915.711.269
it's2 1,915.711.225
hoose2 1,915.711.022
thocht2 1,915.710.985
pit2 1,915.710.970
got2 1,915.710.846
aw4 3,831.420.736
heid2 1,915.710.730
guid2 1,915.710.622
here2 1,915.710.517
efter2 1,915.710.488
i8 7,662.840.479
her7 6,704.980.466
aboot2 1,915.710.444
weel2 1,915.710.441
us2 1,915.710.299
are2 1,915.710.289
an29 27,777.780.241
twa2 1,915.710.236
teegers2 1,915.71nan
up5 4,789.270.233
we5 4,789.270.173
it11 10,536.400.157
jist2 1,915.710.133
ay2 1,915.710.127
hae3 2,873.560.122
if2 1,915.710.096
ower2 1,915.710.048
doon2 1,915.710.030
their2 1,915.710.029
no3 2,873.560.022
at7 6,704.980.014
time2 1,915.710.009
huidie2 1,915.71nan
that11 10,536.400.047
mair2 1,915.710.008
you2 1,915.710.002
nae3 2,873.560.000