A Corpus of 21st Century Scots Texts

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Young, Morna

Basic Stats

Total words by this author in corpus - 2,057
Total unique words used by this author in corpus - 633
Ratio of total words to unique words - 3.25
Tagged as DOR (General Northern) dialect.
Top ten most common words - and, the, i, a, tae, ma, it, o, s, she,

List of texts in corpus

The Twa Chrisses
Scots Language Center (2021-05-31) in Doric dialect (DOR), categorised as prose (2,057 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
and105 51,045.21250.957
chris20 9,722.90211.111
i73 35,488.58143.258
quine12 5,833.7473.411
ll24 11,667.4870.261
ma41 19,931.9463.837
granny10 4,861.4552.617
mebbe10 4,861.4544.501
buiks6 2,916.8733.694
crying3 1,458.4330.642
or25 12,153.6229.207
erms4 1,944.5827.921
jeest4 1,944.5827.921
clart3 1,458.4325.175
fan8 3,889.1625.164
she30 14,584.3524.158
mare5 2,430.7222.756
mam5 2,430.7221.664
teacher5 2,430.7221.245
guthrie2 972.2921.094
peewits2 972.2921.094
they24 11,667.4821.032
an24 11,667.4820.095
nib2 972.2919.371
wurld3 1,458.4319.363
buik5 2,430.7218.451
say10 4,861.4518.333
you'd2 972.2918.191
stairted3 1,458.4317.763
tide3 1,458.4317.377
those4 1,944.5816.849
think9 4,375.3016.565
cawd2 972.2915.935
caa4 1,944.5815.735
beach3 1,458.4315.622
christine2 972.2915.402
sunset2 972.2914.932
nah2 972.2914.513
screens2 972.2914.135
quines3 1,458.4313.670
name6 2,916.8713.550
dee5 2,430.7213.011
fisher2 972.2912.907
disna4 1,944.5812.798
s31 15,070.4912.649
their12 5,833.7412.602
hame8 3,889.1612.566
thank3 1,458.4312.457
will8 3,889.1611.990
vyces2 972.2911.584
muck2 972.2911.228
likit3 1,458.4311.092
wi30 14,584.3510.892
sea4 1,944.5810.855
on3 1,458.4310.802
aa12 5,833.7410.763
taes2 972.2910.749
lewis2 972.2910.602
smell3 1,458.4310.576
naither2 972.2910.324
understand2 972.2910.324
pictur2 972.2910.324
haun5 2,430.7210.231
nae15 7,292.179.965
there14 6,806.039.943
song2 972.299.942
pen2 972.299.822
built2 972.299.595
then8 3,889.169.493
life6 2,916.879.486
could7 3,403.019.327
chrisses5 2,430.72nan
land3 1,458.439.323
tell6 2,916.879.304
fit8 3,889.169.201
fine6 2,916.879.170
am4 1,944.589.106
heart2 972.298.803
aul2 972.298.803
luik3 1,458.438.644
said9 4,375.308.593
cos3 1,458.438.425
copy2 972.298.152
masel4 1,944.588.149
prood2 972.298.078
liked2 972.298.078
feart3 1,458.437.983
list2 972.297.798
aye9 4,375.307.755
loons2 972.297.731
wunner2 972.297.537
niver4 1,944.587.441
place5 2,430.727.414
same5 2,430.727.233
lives2 972.297.124
schuil3 1,458.437.069
whither2 972.297.068
hairt2 972.297.068
aathin2 972.296.804
at5 2,430.726.801
askit2 972.296.754
university2 972.296.754
hale4 1,944.586.748
sweet2 972.296.704
wirds4 1,944.586.698
story3 1,458.436.661
twa8 3,889.166.594
her20 9,722.906.576
your4 1,944.586.472
staun2 972.296.375
teachers2 972.296.243
baithe3 1,458.43nan
here7 3,403.016.343
re5 2,430.726.223
vyce2 972.296.200
lass2 972.296.075
it37 17,987.365.955
ging2 972.295.876
be19 9,236.755.808
spik2 972.295.799
earth2 972.295.652
bairn3 1,458.435.547
you9 4,375.305.409
cry2 972.295.376
different3 1,458.435.274
bide3 1,458.435.019
smile2 972.295.002
but15 7,292.174.911
far4 1,944.584.859
gan2 972.294.830
na3 1,458.434.826
billy2 972.294.803
noo8 3,889.164.776
eneuch3 1,458.434.702
mither4 1,944.584.554
is6 2,916.874.424
we3 1,458.434.372
aabody2 972.294.344
wid6 2,916.874.300
tongue2 972.294.297
deep2 972.294.205
up3 1,458.434.023
says4 1,944.583.942
this14 6,806.033.930
sit2 972.293.926
aboot2 972.293.806
thit3 1,458.433.805
close2 972.293.527
wint2 972.293.373
ane5 2,430.723.262
see7 3,403.013.165
oot4 1,944.583.138
with2 972.293.030
the102 49,586.783.016
as7 3,403.013.008
need3 1,458.433.003
bonnie2 972.292.987
for18 8,750.612.980
kent4 1,944.582.960
een4 1,944.582.872
dinna3 1,458.432.817
like2 972.292.810
run2 972.292.807
english4 1,944.582.800
even4 1,944.582.787
don2 972.292.768
naethin2 972.292.742
back8 3,889.162.679
wis14 6,806.032.612
speak2 972.292.568
face3 1,458.432.486
tak4 1,944.582.316
ay6 2,916.872.258
if6 2,916.872.167
awa5 2,430.721.948
ower2 972.291.890
much2 972.291.810
though2 972.291.706
doon2 972.291.689
thaim4 1,944.581.662
warld2 972.291.563
hear2 972.291.439
feel2 972.291.412
of5 2,430.721.370
ye15 7,292.171.320
ain4 1,944.581.262
let2 972.291.239
still3 1,458.431.144
t3 1,458.431.090
ve3 1,458.431.082
o36 17,501.221.048
throu2 972.291.009
affa2 972.290.980
wye2 972.290.952
time2 972.290.901
day6 2,916.870.900
lik2 972.290.888
yon2 972.290.854
what2 972.290.779
intae2 972.290.738
thocht3 1,458.430.716
pit3 1,458.430.657
ken4 1,944.580.634
thing2 972.290.548
was3 1,458.430.415
baith2 972.290.412
me5 2,430.720.391
didna2 972.290.326
in29 14,098.200.309
a56 27,224.110.295
some2 972.290.289
hae6 2,916.870.270
da4 1,944.580.256
oan2 972.290.251
anither2 972.290.247
fowk4 1,944.580.245
can4 1,944.580.225
get2 972.290.180
sae4 1,944.580.173
us2 972.290.159
were3 1,458.430.155
are2 972.290.134
micht2 972.290.134
to2 972.290.116
wee5 2,430.720.115
m3 1,458.430.108
mak2 972.290.085
d4 1,944.580.082
come2 972.290.039
yer4 1,944.580.038
tae43 20,904.230.031
hoose2 972.290.024
them3 1,458.430.021
fae6 2,916.870.021
so2 972.290.018
by3 1,458.430.012
got2 972.290.006
that20 9,722.900.004
heid2 972.290.000