A Corpus of 21st Century Scots Texts

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Gauld, Ilene

Basic Stats

Total words by this author in corpus - 893
Total unique words used by this author in corpus - 408
Ratio of total words to unique words - 2.189
Tagged as MNA (Mid Northern A) dialect.
Top ten most common words - a, i, the, s, we, tae, an, fit, ma, in,

List of texts in corpus

Ilene Gauld - Piper and Poet
Doric Future (05-09-2020) in Doric (Keith) dialect (MNA), categorised as weans (893 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
ees9 10,078.3995.720
fit15 16,797.3155.346
i29 32,474.8052.754
hiv10 11,198.2148.171
sash3 3,359.4635.736
tractor4 4,479.2834.674
we19 21,276.6032.712
sean3 3,359.4630.258
dunlop3 3,359.4628.435
magic4 4,479.2828.189
hubby2 2,239.6424.489
camouflage2 2,239.6422.765
macintyre2 2,239.6421.581
tartan3 3,359.4621.532
well5 5,599.1020.106
ma15 16,797.3119.404
canna5 5,599.1019.367
fairies2 2,239.6418.312
rose3 3,359.4618.254
bob3 3,359.4618.071
special3 3,359.4617.894
invited2 2,239.6417.510
beets2 2,239.6416.017
gings2 2,239.6415.548
s19 21,276.6015.502
dad3 3,359.4615.334
dress2 2,239.6415.130
caad3 3,359.4615.115
the27 30,235.1614.998
brilliant2 2,239.6414.752
kilt2 2,239.6413.658
lobby2 2,239.6412.489
breeks2 2,239.6412.390
fin5 5,599.1012.360
abody2 2,239.6411.436
d7 7,838.7510.531
us6 6,718.9210.090
flat2 2,239.648.788
these3 3,359.468.612
so5 5,599.108.602
a42 47,032.478.313
ll5 5,599.108.206
zyne4 4,479.28nan
them6 6,718.928.101
off2 2,239.648.099
bade2 2,239.647.945
doric2 2,239.647.415
mine2 2,239.647.390
sang2 2,239.646.955
dinna3 3,359.466.825
bonnie2 2,239.645.891
jist5 5,599.105.875
wird2 2,239.645.793
lang4 4,479.285.720
see5 5,599.105.413
am2 2,239.644.986
ee2 2,239.644.973
m4 4,479.284.671
ve3 3,359.464.391
ken4 4,479.284.385
get4 4,479.284.279
hear2 2,239.643.897
will3 3,359.463.844
kin2 2,239.643.754
which2 2,239.643.488
has2 2,239.643.379
zynes3 3,359.46nan
name2 2,239.643.594
lik2 2,239.643.153
bairns2 2,239.642.958
only2 2,239.642.922
o12 13,437.852.632
wir2 2,239.642.498
his2 2,239.642.489
been4 4,479.282.475
an16 17,917.132.442
didna2 2,239.642.241
telt2 2,239.642.241
syne2 2,239.642.000
auld3 3,359.461.982
he12 13,437.851.948
een2 2,239.641.824
for8 8,958.571.518
my2 2,239.641.393
is3 3,359.461.378
as3 3,359.461.348
say2 2,239.641.342
tinkerbell2 2,239.64nan
pit2 2,239.641.310
noo3 3,359.461.259
or5 5,599.101.184
oot2 2,239.640.987
day3 3,359.460.787
ye3 3,359.460.785
but2 2,239.640.739
nae4 4,479.280.712
this2 2,239.640.698
weel2 2,239.640.677
afore2 2,239.640.665
up5 5,599.100.624
her3 3,359.460.619
to2 2,239.640.618
that11 12,318.030.504
said2 2,239.640.420
on7 7,838.750.362
me2 2,239.640.280
tae17 19,036.950.265
bit3 3,359.460.200
there3 3,359.460.199
ae2 2,239.640.171
wis10 11,198.210.114
time2 2,239.640.101
at5 5,599.100.098
yer2 2,239.640.096
in13 14,557.670.065
him2 2,239.640.062
be5 5,599.100.056
she5 5,599.100.049
it10 11,198.210.023
back2 2,239.640.018
wi7 7,838.750.015
wee2 2,239.640.009
and6 6,718.920.002