A Corpus of 21st Century Scots Texts

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

Rumbles, Brodie-Anne

Basic Stats

Total words by this author in corpus - 831
Total unique words used by this author in corpus - 357
Ratio of total words to unique words - 2.328
Tagged as MNA (Mid Northern A) dialect.
Top ten most common words - seelence, the, i, her, o, and, of, patient, an, to,

List of texts in corpus

Recordin on Beep
Scots Hoose (2022-11-07) in Doric (Banff) dialect (MNA), categorised as weans (831 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
seelence46 55,354.99636.269
patient13 15,643.80143.528
november10 12,033.6995.672
beep7 8,423.5993.895
refuses7 8,423.5990.391
date10 12,033.6984.270
spik8 9,626.9659.102
gaeltacht5 6,016.8546.828
of14 16,847.1744.824
recordin4 4,813.4841.050
arthur4 4,813.4840.348
my11 13,237.0639.897
i24 28,880.8738.728
recording3 3,610.1138.312
to12 14,440.4337.491
seepin3 3,610.1134.496
her20 24,067.3930.429
am6 7,220.2228.299
kill4 4,813.4824.859
husband3 3,610.1124.249
skelloch2 2,406.7422.995
dr4 4,813.4822.602
rippin2 2,406.7420.169
miss4 4,813.4818.661
and18 21,660.6517.808
shairp2 2,406.7416.246
glance2 2,406.7415.562
bluid3 3,610.1115.292
guilty2 2,406.7414.980
me11 13,237.0614.804
the25 30,084.2414.548
lugs3 3,610.1113.829
mysel2 2,406.7413.497
files2 2,406.7413.375
notes2 2,406.7413.143
court2 2,406.7412.819
has4 4,813.4812.045
wumman3 3,610.1110.770
upon2 2,406.7410.006
into2 2,406.7410.006
neb2 2,406.749.812
ay6 7,220.229.549
pain2 2,406.749.495
body3 3,610.119.307
airm2 2,406.749.009
help3 3,610.118.926
een4 4,813.488.358
form2 2,406.748.164
ma10 12,033.698.116
talk2 2,406.747.902
room3 3,610.117.845
a12 14,440.437.836
aa6 7,220.227.189
div2 2,406.746.886
in5 6,016.856.473
unner2 2,406.746.361
rest2 2,406.746.361
leuk2 2,406.746.361
gealtach3 3,610.11nan
wye3 3,610.117.304
naethin2 2,406.745.814
makkin2 2,406.745.798
lat2 2,406.745.768
she10 12,033.695.656
didna3 3,610.115.530
tae9 10,830.325.460
fa2 2,406.745.215
dee2 2,406.745.152
an12 14,440.434.933
nae6 7,220.223.907
name2 2,406.743.848
tho2 2,406.743.552
fit3 3,610.113.122
think2 2,406.741.848
like4 4,813.481.233
ablach2 2,406.74nan
hae4 4,813.481.663
echidna4 4,813.48nan
ower4 4,813.481.844
you3 3,610.111.168
day3 3,610.110.969
afore2 2,406.740.807
oot2 2,406.740.758
get2 2,406.740.636
lanlay2 2,406.74nan
is7 8,423.590.618
had2 2,406.740.579
up2 2,406.740.519
jist2 2,406.740.396
noo2 2,406.740.287
wis7 8,423.590.266
wi5 6,016.850.263
intae2 2,406.740.226
fae3 3,610.110.205
o19 22,864.020.200
yer2 2,406.740.176
convicted2 2,406.74nan
but4 4,813.480.172
on6 7,220.220.141
been2 2,406.740.136
ye5 6,016.850.068
tikken2 2,406.74nan
redacted2 2,406.74nan
this3 3,610.110.009
there2 2,406.740.008
it10 12,033.690.006
that8 9,626.960.005
as5 6,016.850.002