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 51,045.21249.552
chris20 9,722.90211.131
i73 35,488.58141.636
quine12 5,833.7473.422
ll24 11,667.4869.451
ma41 19,931.9460.745
granny10 4,861.4552.486
mebbe10 4,861.4544.511
buiks6 2,916.8733.700
crying3 1,458.4330.645
or25 12,153.6229.659
erms4 1,944.5827.925
jeest4 1,944.5827.925
fan8 3,889.1625.752
clart3 1,458.4325.178
she30 14,584.3523.717
mare5 2,430.7222.761
mam5 2,430.7221.669
teacher5 2,430.7221.332
they24 11,667.4821.208
peewits2 972.2921.096
guthrie2 972.2921.096
an24 11,667.4819.523
nib2 972.2919.373
wurld3 1,458.4319.365
buik5 2,430.7218.456
you'd2 972.2918.192
say10 4,861.4517.830
stairted3 1,458.4317.766
tide3 1,458.4317.380
think9 4,375.3016.610
those4 1,944.5816.538
cawd2 972.2915.937
caa4 1,944.5815.738
beach3 1,458.4315.625
christine2 972.2915.404
sunset2 972.2914.934
screens2 972.2914.515
nah2 972.2914.515
quines3 1,458.4313.673
name6 2,916.8713.505
fisher2 972.2913.182
dee5 2,430.7213.078
disna4 1,944.5812.892
their12 5,833.7412.707
hame8 3,889.1612.527
thank3 1,458.4312.307
s31 15,070.4912.061
will8 3,889.1611.882
vyces2 972.2911.586
aa12 5,833.7411.232
likit3 1,458.4311.156
wi30 14,584.3511.100
muck2 972.2911.063
sea4 1,944.5811.063
smell3 1,458.4310.802
taes2 972.2910.751
on3 1,458.4310.704
lewis2 972.2910.604
naither2 972.2910.326
pictur2 972.2910.194
understand2 972.2910.067
haun5 2,430.7210.043
nae15 7,292.1710.030
pen2 972.299.943
there14 6,806.039.860
song2 972.299.824
built2 972.299.597
fit8 3,889.169.520
life6 2,916.879.445
then8 3,889.169.444
could7 3,403.019.357
land3 1,458.439.325
fine6 2,916.879.146
am4 1,944.588.910
chrisses5 2,430.72nan
tell6 2,916.879.309
aul2 972.298.805
said9 4,375.308.661
luik3 1,458.438.610
cos3 1,458.438.393
heart2 972.298.306
liked2 972.298.229
aye9 4,375.308.224
copy2 972.298.008
prood2 972.298.008
feart3 1,458.437.985
masel4 1,944.587.818
list2 972.297.733
loons2 972.297.733
place5 2,430.727.518
niver4 1,944.587.483
wunner2 972.297.477
same5 2,430.727.236
whither2 972.297.182
aathin2 972.297.125
schuil3 1,458.437.019
hairt2 972.297.016
lives2 972.296.962
hale4 1,944.586.818
billy2 972.296.806
askit2 972.296.756
her20 9,722.906.744
sweet2 972.296.706
at5 2,430.726.702
wirds4 1,944.586.701
story3 1,458.436.688
twa8 3,889.166.668
university2 972.296.608
here7 3,403.016.364
baithe3 1,458.43nan
staun2 972.296.332
teachers2 972.296.288
your4 1,944.586.228
vyce2 972.296.202
lass2 972.296.118
re5 2,430.726.033
ging2 972.295.916
spik2 972.295.878
be19 9,236.755.826
it37 17,987.365.772
bairn3 1,458.435.664
earth2 972.295.618
cry2 972.295.478
different3 1,458.435.276
you9 4,375.305.083
far4 1,944.585.046
bide3 1,458.435.021
smile2 972.294.945
gan2 972.294.917
na3 1,458.434.844
but15 7,292.174.783
eneuch3 1,458.434.781
noo8 3,889.164.719
mither4 1,944.584.621
is6 2,916.874.422
aabody2 972.294.345
wid6 2,916.874.337
we3 1,458.434.304
tongue2 972.294.252
deep2 972.294.140
up3 1,458.433.971
this14 6,806.033.914
sit2 972.293.907
thit3 1,458.433.831
aboot2 972.293.751
says4 1,944.583.633
close2 972.293.600
wint2 972.293.374
ane5 2,430.723.246
see7 3,403.013.151
oot4 1,944.583.148
for18 8,750.613.096
bonnie2 972.293.046
kent4 1,944.583.031
with2 972.292.960
need3 1,458.432.942
the102 49,586.782.939
een4 1,944.582.928
as7 3,403.012.914
like2 972.292.886
dinna3 1,458.432.845
run2 972.292.809
naethin2 972.292.796
english4 1,944.582.789
even4 1,944.582.757
speak2 972.292.756
don2 972.292.705
back8 3,889.162.686
wis14 6,806.032.599
face3 1,458.432.428
tak4 1,944.582.373
ay6 2,916.872.261
if6 2,916.872.056
awa5 2,430.722.040
ower2 972.291.863
much2 972.291.811
doon2 972.291.704
though2 972.291.668
thaim4 1,944.581.626
warld2 972.291.536
hear2 972.291.501
feel2 972.291.337
of5 2,430.721.288
ye15 7,292.171.269
ain4 1,944.581.263
let2 972.291.229
still3 1,458.431.153
t3 1,458.431.149
throu2 972.291.025
o36 17,501.221.018
affa2 972.290.996
wye2 972.290.986
time2 972.290.931
ve3 1,458.430.928
lik2 972.290.889
yon2 972.290.868
day6 2,916.870.862
what2 972.290.792
intae2 972.290.781
thocht3 1,458.430.690
pit3 1,458.430.674
ken4 1,944.580.658
thing2 972.290.555
me5 2,430.720.507
was3 1,458.430.496
baith2 972.290.446
didna2 972.290.340
a56 27,224.110.318
in29 14,098.200.306
oan2 972.290.295
some2 972.290.288
hae6 2,916.870.276
fowk4 1,944.580.264
anither2 972.290.261
da4 1,944.580.254
can4 1,944.580.213
get2 972.290.202
sae4 1,944.580.179
are2 972.290.165
were3 1,458.430.157
us2 972.290.154
to2 972.290.146
micht2 972.290.143
wee5 2,430.720.108
mak2 972.290.100
d4 1,944.580.075
m3 1,458.430.057
come2 972.290.038
hoose2 972.290.033
yer4 1,944.580.027
tae43 20,904.230.023
them3 1,458.430.019
so2 972.290.017
fae6 2,916.870.014
by3 1,458.430.010
got2 972.290.005
that20 9,722.900.004
heid2 972.290.000