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
- fine grain dialect comparison - Venn diagrams - punctuation analysis - chronology -

Fowler, Ross

Basic Stats

Total words by this author in corpus - 607
Total unique words used by this author in corpus - 241
Ratio of total words to unique words - 2.519
Tagged as MNB (Mid Northern B) dialect.
Top ten most common words - the, a, tae, and, wis, an, ma, he, him, o,

List of texts in corpus

Sunday Fitba wi ma Faither
Scots Hoose (2020) in Doric (Forres) dialect (MNB), categorised as prose (607 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
fitba6 9,884.6843.598
hibs3 4,942.3435.228
and20 32,948.9332.841
wint5 8,237.2328.317
faither6 9,884.6827.482
kick3 4,942.3424.905
settled3 4,942.3423.999
freen3 4,942.3422.927
ba3 4,942.3422.653
gairden4 6,589.7920.967
him10 16,474.4619.872
hauf4 6,589.7919.077
rangers2 3,294.8918.703
ma12 19,769.3618.568
getting3 4,942.3418.317
strip2 3,294.8917.086
bleed2 3,294.8916.472
winted2 3,294.8916.110
himself2 3,294.8913.629
match2 3,294.8912.449
wir4 6,589.7912.317
baith4 6,589.7912.008
telt4 6,589.7911.678
neb2 3,294.8910.997
came3 4,942.3410.732
lookit2 3,294.8910.728
gaen2 3,294.8910.518
second2 3,294.8910.092
hid5 8,237.239.758
playin2 3,294.899.580
watch2 3,294.899.363
wis15 24,711.709.333
jist5 8,237.238.892
stood2 3,294.898.831
got4 6,589.798.806
cos2 3,294.898.703
mither3 4,942.348.043
then4 6,589.797.997
we8 13,179.577.897
oot8 13,179.577.464
fir3 4,942.347.367
bit6 9,884.687.339
didna3 4,942.347.212
front2 3,294.896.825
he12 19,769.366.267
up7 11,532.136.072
doon5 8,237.236.034
took2 3,294.895.987
fan2 3,294.895.698
come3 4,942.345.688
me6 9,884.685.493
see4 6,589.795.294
ane3 4,942.345.065
look2 3,294.894.945
road2 3,294.894.846
wid3 4,942.344.465
through2 3,294.894.265
better2 3,294.894.245
were3 4,942.344.129
us3 4,942.343.609
tae20 32,948.933.269
anither2 3,294.893.191
gie2 3,294.892.873
a25 41,186.162.655
i7 11,532.132.648
could2 3,294.892.597
intae3 4,942.342.525
thocht2 3,294.892.430
say2 3,294.892.391
hoose2 3,294.892.388
at7 11,532.132.013
so2 3,294.891.839
weel2 3,294.891.551
its2 3,294.891.540
his6 9,884.681.511
aff2 3,294.891.272
said2 3,294.891.186
there3 4,942.341.050
be5 8,237.231.048
as2 3,294.890.964
can2 3,294.890.951
in7 11,532.130.721
aboot3 4,942.340.652
that8 13,179.570.612
o10 16,474.460.567
it9 14,827.020.459
her2 3,294.890.454
back2 3,294.890.402
ower2 3,294.890.270
the38 62,602.970.247
an14 23,064.250.181
wi4 6,589.790.067
she3 4,942.340.002