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 51,045.21249.823
chris20 9,722.90211.196
i73 35,488.58141.794
quine12 5,833.7473.460
ll24 11,667.4869.223
ma41 19,931.9460.778
granny10 4,861.4552.518
mebbe10 4,861.4544.542
buiks6 2,916.8733.719
crying3 1,458.4330.655
or25 12,153.6229.708
erms4 1,944.5827.938
jeest4 1,944.5827.938
fan8 3,889.1625.776
clart3 1,458.4325.188
she30 14,584.3523.744
mare5 2,430.7222.776
mam5 2,430.7221.685
teacher5 2,430.7221.348
peewits2 972.2921.102
guthrie2 972.2921.102
they24 11,667.4821.100
an24 11,667.4819.475
nib2 972.2919.380
wurld3 1,458.4319.375
buik5 2,430.7218.471
you'd2 972.2918.199
say10 4,861.4517.821
stairted3 1,458.4317.776
tide3 1,458.4317.390
think9 4,375.3016.634
those4 1,944.5816.550
cawd2 972.2915.943
caa4 1,944.5815.751
beach3 1,458.4315.635
christine2 972.2915.410
sunset2 972.2914.941
screens2 972.2914.522
nah2 972.2914.522
quines3 1,458.4313.682
name6 2,916.8713.497
fisher2 972.2913.188
dee5 2,430.7213.092
disna4 1,944.5812.904
their12 5,833.7412.706
hame8 3,889.1612.533
thank3 1,458.4312.316
s31 15,070.4912.008
will8 3,889.1611.902
vyces2 972.2911.592
aa12 5,833.7411.259
likit3 1,458.4311.165
wi30 14,584.3511.114
sea4 1,944.5811.075
muck2 972.2911.069
taes2 972.2910.757
smell3 1,458.4310.755
on3 1,458.4310.673
lewis2 972.2910.610
naither2 972.2910.332
pictur2 972.2910.200
understand2 972.2910.073
nae15 7,292.1710.029
haun5 2,430.729.993
pen2 972.299.950
there14 6,806.039.849
song2 972.299.831
built2 972.299.603
fit8 3,889.169.539
life6 2,916.879.460
then8 3,889.169.419
land3 1,458.439.334
could7 3,403.019.324
fine6 2,916.879.161
am4 1,944.588.921
chrisses5 2,430.72nan
tell6 2,916.879.324
aul2 972.298.811
luik3 1,458.438.618
said9 4,375.308.532
cos3 1,458.438.401
heart2 972.298.312
liked2 972.298.235
aye9 4,375.308.177
copy2 972.298.014
prood2 972.298.014
feart3 1,458.437.994
masel4 1,944.587.828
loons2 972.297.739
list2 972.297.739
place5 2,430.727.531
niver4 1,944.587.494
wunner2 972.297.483
same5 2,430.727.249
whither2 972.297.188
aathin2 972.297.131
schuil3 1,458.437.027
hairt2 972.297.022
lives2 972.296.968
hale4 1,944.586.812
her20 9,722.906.764
askit2 972.296.762
wirds4 1,944.586.712
sweet2 972.296.712
at5 2,430.726.707
twa8 3,889.166.669
story3 1,458.436.647
university2 972.296.614
here7 3,403.016.371
staun2 972.296.338
teachers2 972.296.294
vyce2 972.296.208
baithe3 1,458.43nan
your4 1,944.586.239
lass2 972.296.124
re5 2,430.726.012
ging2 972.295.922
spik2 972.295.883
be19 9,236.755.821
it37 17,987.365.753
earth2 972.295.624
bairn3 1,458.435.614
cry2 972.295.450
different3 1,458.435.284
you9 4,375.305.078
far4 1,944.585.055
bide3 1,458.435.029
smile2 972.294.922
gan2 972.294.922
na3 1,458.434.851
but15 7,292.174.799
eneuch3 1,458.434.789
noo8 3,889.164.728
billy2 972.294.649
mither4 1,944.584.630
is6 2,916.874.408
aabody2 972.294.351
wid6 2,916.874.350
we3 1,458.434.302
tongue2 972.294.258
deep2 972.294.123
up3 1,458.433.980
this14 6,806.033.922
sit2 972.293.913
thit3 1,458.433.814
aboot2 972.293.751
says4 1,944.583.642
close2 972.293.570
wint2 972.293.380
ane5 2,430.723.256
see7 3,403.013.154
oot4 1,944.583.154
for18 8,750.613.117
bonnie2 972.293.051
kent4 1,944.583.039
with2 972.292.965
need3 1,458.432.949
the102 49,586.782.948
een4 1,944.582.936
as7 3,403.012.935
like2 972.292.883
dinna3 1,458.432.852
run2 972.292.814
naethin2 972.292.801
english4 1,944.582.797
even4 1,944.582.765
speak2 972.292.761
back8 3,889.162.670
don2 972.292.660
wis14 6,806.032.576
face3 1,458.432.434
tak4 1,944.582.381
ay6 2,916.872.271
if6 2,916.872.058
awa5 2,430.722.048
ower2 972.291.855
much2 972.291.808
doon2 972.291.703
though2 972.291.672
thaim4 1,944.581.633
warld2 972.291.540
hear2 972.291.505
feel2 972.291.335
of5 2,430.721.295
ain4 1,944.581.269
ye15 7,292.171.248
let2 972.291.215
still3 1,458.431.158
t3 1,458.431.134
throu2 972.291.029
affa2 972.290.999
o36 17,501.220.997
wye2 972.290.990
time2 972.290.925
ve3 1,458.430.916
lik2 972.290.893
yon2 972.290.871
day6 2,916.870.865
what2 972.290.796
intae2 972.290.784
thocht3 1,458.430.694
pit3 1,458.430.678
ken4 1,944.580.663
thing2 972.290.558
me5 2,430.720.505
was3 1,458.430.499
baith2 972.290.446
didna2 972.290.342
a56 27,224.110.317
oan2 972.290.315
in29 14,098.200.302
some2 972.290.287
hae6 2,916.870.280
fowk4 1,944.580.268
anither2 972.290.263
da4 1,944.580.250
can4 1,944.580.216
get2 972.290.202
sae4 1,944.580.182
are2 972.290.163
were3 1,458.430.158
us2 972.290.154
micht2 972.290.144
to2 972.290.144
wee5 2,430.720.107
mak2 972.290.101
d4 1,944.580.076
m3 1,458.430.057
come2 972.290.039
hoose2 972.290.034
yer4 1,944.580.027
tae43 20,904.230.023
them3 1,458.430.020
so2 972.290.017
fae6 2,916.870.013
by3 1,458.430.010
got2 972.290.005
that20 9,722.900.004
heid2 972.290.000