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 51,045.21252.380
chris20 9,722.90211.686
i73 35,488.58144.121
quine12 5,833.7473.750
ll24 11,667.4870.168
ma41 19,931.9464.149
granny10 4,861.4552.618
mebbe10 4,861.4543.973
buiks6 2,916.8733.863
crying3 1,458.4329.145
or25 12,153.6229.000
erms4 1,944.5828.035
jeest4 1,944.5828.035
fan8 3,889.1625.332
clart3 1,458.4325.261
she30 14,584.3524.547
mare5 2,430.7222.703
mam5 2,430.7221.802
teacher5 2,430.7221.383
peewits2 972.2921.151
guthrie2 972.2921.151
they24 11,667.4820.940
an24 11,667.4820.388
wurld3 1,458.4319.448
nib2 972.2919.429
buik5 2,430.7218.527
you'd2 972.2918.248
say10 4,861.4518.112
stairted3 1,458.4317.652
tide3 1,458.4317.100
those4 1,944.5816.958
think9 4,375.3016.539
cawd2 972.2915.992
beach3 1,458.4315.707
christine2 972.2915.459
caa4 1,944.5815.124
nah2 972.2914.570
sunset2 972.2914.192
screens2 972.2914.192
quines3 1,458.4313.753
name6 2,916.8713.501
dee5 2,430.7213.014
fisher2 972.2912.964
disna4 1,944.5812.904
their12 5,833.7412.675
s31 15,070.4912.644
hame8 3,889.1612.479
thank3 1,458.4312.462
will8 3,889.1612.085
vyces2 972.2911.640
muck2 972.2911.284
likit3 1,458.4311.173
wi30 14,584.3510.974
on3 1,458.4310.864
sea4 1,944.5810.694
lewis2 972.2910.658
smell3 1,458.4310.603
aa12 5,833.7410.537
taes2 972.2910.516
understand2 972.2910.380
naither2 972.2910.380
haun5 2,430.7210.353
pictur2 972.2910.248
song2 972.299.997
nae15 7,292.179.990
there14 6,806.039.922
pen2 972.299.878
built2 972.299.651
life6 2,916.879.486
could7 3,403.019.456
land3 1,458.439.402
then8 3,889.169.317
tell6 2,916.879.292
chrisses5 2,430.72nan
fine6 2,916.879.278
fit8 3,889.169.275
am4 1,944.589.006
heart2 972.298.770
aul2 972.298.770
luik3 1,458.438.648
said9 4,375.308.633
cos3 1,458.438.503
masel4 1,944.588.182
copy2 972.298.133
liked2 972.298.061
prood2 972.297.990
feart3 1,458.437.963
list2 972.297.785
loons2 972.297.785
aye9 4,375.307.779
wunner2 972.297.408
niver4 1,944.587.350
same5 2,430.727.290
place5 2,430.727.262
whither2 972.297.122
lives2 972.297.122
schuil3 1,458.436.935
aathin2 972.296.858
askit2 972.296.807
wirds4 1,944.586.791
her20 9,722.906.782
at5 2,430.726.737
sweet2 972.296.708
university2 972.296.708
hairt2 972.296.660
hale4 1,944.586.596
story3 1,458.436.567
twa8 3,889.166.521
your4 1,944.586.517
staun2 972.296.428
here7 3,403.016.332
vyce2 972.296.253
re5 2,430.726.227
lass2 972.296.086
it37 17,987.365.958
baithe3 1,458.43nan
teachers2 972.296.253
ging2 972.295.928
spik2 972.295.852
be19 9,236.755.847
earth2 972.295.704
bairn3 1,458.435.619
you9 4,375.305.517
cry2 972.295.394
different3 1,458.435.258
bide3 1,458.435.072
smile2 972.295.053
but15 7,292.174.906
na3 1,458.434.879
far4 1,944.584.866
billy2 972.294.853
eneuch3 1,458.434.666
noo8 3,889.164.656
gan2 972.294.614
mither4 1,944.584.576
we3 1,458.434.513
is6 2,916.874.415
wid6 2,916.874.409
aabody2 972.294.393
tongue2 972.294.187
deep2 972.294.187
up3 1,458.434.035
says4 1,944.583.995
this14 6,806.033.876
sit2 972.293.874
thit3 1,458.433.870
aboot2 972.293.806
close2 972.293.539
wint2 972.293.403
ane5 2,430.723.319
see7 3,403.013.170
oot4 1,944.583.124
for18 8,750.613.107
with2 972.293.061
need3 1,458.433.045
bonnie2 972.293.032
kent4 1,944.583.006
as7 3,403.013.001
een4 1,944.582.911
dinna3 1,458.432.868
english4 1,944.582.859
run2 972.292.825
even4 1,944.582.813
don2 972.292.812
like2 972.292.764
back8 3,889.162.760
the102 49,586.782.699
naethin2 972.292.648
speak2 972.292.587
face3 1,458.432.535
wis14 6,806.032.457
tak4 1,944.582.339
ay6 2,916.872.313
if6 2,916.872.151
awa5 2,430.721.961
ower2 972.291.860
much2 972.291.792
though2 972.291.728
doon2 972.291.701
thaim4 1,944.581.655
warld2 972.291.572
feel2 972.291.429
hear2 972.291.409
of5 2,430.721.406
ye15 7,292.171.272
ain4 1,944.581.264
let2 972.291.250
still3 1,458.431.125
ve3 1,458.431.106
t3 1,458.431.084
o36 17,501.221.078
affa2 972.291.012
throu2 972.290.988
wye2 972.290.983
day6 2,916.870.919
time2 972.290.895
lik2 972.290.884
yon2 972.290.879
what2 972.290.792
intae2 972.290.724
thocht3 1,458.430.716
pit3 1,458.430.652
ken4 1,944.580.644
thing2 972.290.488
baith2 972.290.414
me5 2,430.720.401
was3 1,458.430.383
didna2 972.290.347
a56 27,224.110.339
in29 14,098.200.315
some2 972.290.279
anither2 972.290.246
hae6 2,916.870.245
da4 1,944.580.241
fowk4 1,944.580.241
oan2 972.290.233
can4 1,944.580.232
us2 972.290.185
get2 972.290.176
sae4 1,944.580.172
were3 1,458.430.150
micht2 972.290.139
are2 972.290.128
to2 972.290.107
wee5 2,430.720.106
m3 1,458.430.103
mak2 972.290.084
d4 1,944.580.074
come2 972.290.043
tae43 20,904.230.034
yer4 1,944.580.029
them3 1,458.430.027
fae6 2,916.870.026
hoose2 972.290.024
by3 1,458.430.015
so2 972.290.014
that20 9,722.900.005
got2 972.290.003
heid2 972.290.000