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 10,078.3996.464
fit15 16,797.3155.986
i29 32,474.8051.848
hiv10 11,198.2148.366
sash3 3,359.4635.663
tractor4 4,479.2834.576
we19 21,276.6033.339
sean3 3,359.4630.184
dunlop3 3,359.4628.361
magic4 4,479.2828.245
hubby2 2,239.6424.440
camouflage2 2,239.6422.716
macintyre2 2,239.6421.532
tartan3 3,359.4621.142
well5 5,599.1019.776
canna5 5,599.1019.251
rose3 3,359.4618.565
fairies2 2,239.6418.263
ma15 16,797.3118.237
bob3 3,359.4618.089
invited2 2,239.6417.842
special3 3,359.4617.822
beets2 2,239.6415.968
dress2 2,239.6415.727
caad3 3,359.4615.607
gings2 2,239.6415.500
the27 30,235.1615.354
dad3 3,359.4615.152
s19 21,276.6015.001
brilliant2 2,239.6414.358
kilt2 2,239.6414.041
lobby2 2,239.6412.756
breeks2 2,239.6412.543
fin5 5,599.1012.338
abody2 2,239.6411.388
d7 7,838.7510.557
us6 6,718.9210.325
these3 3,359.468.822
flat2 2,239.648.817
a42 47,032.478.392
zyne4 4,479.28nan
so5 5,599.108.532
them6 6,718.928.224
ll5 5,599.108.032
mine2 2,239.648.021
off2 2,239.647.929
bade2 2,239.647.929
doric2 2,239.647.369
sang2 2,239.646.909
dinna3 3,359.466.804
jist5 5,599.106.055
bonnie2 2,239.645.913
lang4 4,479.285.750
wird2 2,239.645.748
see5 5,599.105.398
ee2 2,239.644.955
am2 2,239.644.943
ken4 4,479.284.424
m4 4,479.284.384
get4 4,479.284.172
ve3 3,359.464.081
hear2 2,239.644.025
zynes3 3,359.46nan
will3 3,359.463.779
kin2 2,239.643.713
name2 2,239.643.593
which2 2,239.643.470
has2 2,239.643.368
lik2 2,239.643.167
only2 2,239.642.975
bairns2 2,239.642.920
o12 13,437.852.550
wir2 2,239.642.491
his2 2,239.642.448
been4 4,479.282.409
didna2 2,239.642.232
an16 17,917.132.224
telt2 2,239.642.218
syne2 2,239.642.017
he12 13,437.852.013
auld3 3,359.461.942
een2 2,239.641.837
for8 8,958.571.523
is3 3,359.461.375
my2 2,239.641.360
pit2 2,239.641.336
as3 3,359.461.319
say2 2,239.641.298
noo3 3,359.461.283
or5 5,599.101.265
oot2 2,239.640.998
ye3 3,359.460.796
but2 2,239.640.762
day3 3,359.460.753
weel2 2,239.640.720
nae4 4,479.280.718
afore2 2,239.640.702
this2 2,239.640.688
up5 5,599.100.642
her3 3,359.460.622
to2 2,239.640.557
that11 12,318.030.510
said2 2,239.640.408
on7 7,838.750.392
me2 2,239.640.336
tinkerbell2 2,239.64nan
tae17 19,036.950.245
bit3 3,359.460.200
there3 3,359.460.193
ae2 2,239.640.155
wis10 11,198.210.097
at5 5,599.100.096
time2 2,239.640.094
yer2 2,239.640.093
in13 14,557.670.061
him2 2,239.640.061
be5 5,599.100.055
it10 11,198.210.032
she5 5,599.100.031
wi7 7,838.750.019
back2 2,239.640.014
wee2 2,239.640.009
and6 6,718.920.000