A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

. .Previous author - Next author
- dialect comparison - fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Walterson, Barbara

Basic Stats

Total words by this author in corpus - 652
Total unique words used by this author in corpus - 297
Ratio of total words to unique words - 2.195
Tagged as SHD (Shetland) dialect.
Top ten most common words - i, da, my, a, wis, o, me, tae, trow, an,

List of texts in corpus

Da Trow o’ Fogla Skerry
Young Shetland Writer (01-01-2010) in Shetland dialect (SHD), categorised as prose (652 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
da32 49,079.75132.206
my23 35,276.07127.099
trow11 16,871.1794.460
i35 53,680.9893.413
knee4 6,134.9733.727
me15 23,006.1332.968
scrip2 3,067.4825.693
yalloo2 3,067.4825.693
een7 10,736.2024.907
dat5 7,668.7123.503
looder2 3,067.4819.513
coloured2 3,067.4818.710
maa2 3,067.4818.710
tinkin2 3,067.4818.362
heed3 4,601.2318.140
haed6 9,202.4518.128
myself2 3,067.4816.973
faider2 3,067.4816.745
wis19 29,141.1015.559
seconds2 3,067.4814.989
mysel2 3,067.4814.586
closer2 3,067.4814.460
waves2 3,067.4813.780
joost2 3,067.4813.479
tried3 4,601.2313.249
starin2 3,067.4812.776
hearin2 3,067.4812.697
den2 3,067.4812.542
saa2 3,067.4812.322
lookin3 4,601.2311.987
questions2 3,067.4811.727
boat2 3,067.4810.854
dere2 3,067.4810.854
taewards2 3,067.489.834
hand2 3,067.489.618
whar2 3,067.489.548
while3 4,601.238.772
soond2 3,067.488.376
ontae2 3,067.488.205
fis3 4,601.23nan
peerie2 3,067.488.205
aboot7 10,736.207.929
too2 3,067.487.673
night2 3,067.487.652
held2 3,067.487.531
wir3 4,601.237.276
fir3 4,601.236.935
tryin2 3,067.486.801
aa5 7,668.716.657
feet2 3,067.486.132
noteesed2 3,067.48nan
felt2 3,067.486.054
mind3 4,601.235.992
back5 7,668.715.887
wisna2 3,067.484.842
lik2 3,067.484.201
up6 9,202.453.543
but6 9,202.453.373
aff3 4,601.233.251
doon4 6,134.973.176
whit4 6,134.973.141
til2 3,067.483.015
at8 12,269.942.779
made2 3,067.482.771
still2 3,067.482.694
even2 3,067.482.643
and8 12,269.942.448
could2 3,067.482.356
an11 16,871.172.159
say2 3,067.482.134
man2 3,067.481.762
wid2 3,067.481.572
efter2 3,067.481.498
twa2 3,067.481.079
some2 3,067.480.984
underneat2 3,067.48nan
on6 9,202.450.867
if2 3,067.480.783
in8 12,269.940.504
o16 24,539.880.480
tae12 18,404.910.291
as5 7,668.710.250
oot2 3,067.480.223
it9 13,803.680.207
rippek2 3,067.48nan
a21 32,208.590.189
s4 6,134.970.186
wi4 6,134.970.162
no2 3,067.480.045
his4 6,134.970.023
he6 9,202.450.021
fae2 3,067.480.019