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 -

Peterson, George P.S.

Basic Stats

Total words by this author in corpus - 1,522
Total unique words used by this author in corpus - 538
Ratio of total words to unique words - 2.829
Tagged as SHD (Shetland) dialect.
Top ten most common words - an, da, a, wis, at, ta, he, in, shö, i,

List of texts in corpus

Nannie Georgedaughter
Shetland For Wirds (2002) in Shetland dialect (SHD), categorised as prose (1,522 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
da85 55,847.57374.185
shö21 13,797.63164.226
ta24 15,768.73128.307
hunter12 7,884.36117.478
ald10 6,570.30113.884
jeems9 5,913.2773.074
dey12 7,884.3655.609
apo5 3,285.1547.996
an88 57,818.6646.955
wir13 8,541.3946.152
bön5 3,285.1544.734
dere7 4,599.2143.982
es6 3,942.1841.544
der6 3,942.1838.136
skroo3 1,971.0934.678
nobody4 2,628.1234.274
baabie11 7,227.33nan
wis45 29,566.3637.711
dan6 3,942.1833.484
göd4 2,628.1231.424
at31 20,367.9429.340
young8 5,256.2429.213
stöd3 1,971.0928.603
butter4 2,628.1228.471
o7 4,599.2128.194
dem6 3,942.1827.933
ale3 1,971.0927.734
gyaan3 1,971.0926.977
dat7 4,599.2126.100
cam10 6,570.3025.011
till8 5,256.2424.988
watchin5 3,285.1524.833
henry3 1,971.0923.370
haet3 1,971.0922.315
nannie2 1,314.0622.298
hamnavoe2 1,314.0622.298
plaesant2 1,314.0622.298
runnin4 2,628.1220.794
mistress4 2,628.1220.400
yard3 1,971.0920.179
hit7 4,599.2119.740
poor4 2,628.1219.498
anunder2 1,314.0619.393
spak4 2,628.1217.967
staandin2 1,314.0617.135
fellow2 1,314.0616.130
2 1,314.0615.710
kaitren6 3,942.18nan
saa3 1,971.0915.931
kindly2 1,314.0615.710
bit14 9,198.4215.605
not4 2,628.1215.327
burden2 1,314.0614.984
interested2 1,314.0614.984
lok2 1,314.0614.372
face6 3,942.1814.362
r5 3,285.1514.072
boat3 1,971.0913.886
a71 46,649.1513.883
basket2 1,314.0613.377
guns2 1,314.0613.164
more3 1,971.0912.685
wird4 2,628.1212.679
ll8 5,256.2412.359
press3 1,971.0912.337
my7 4,599.2112.191
smokin2 1,314.0612.083
laek3 1,971.0911.905
hurry2 1,314.0611.638
lyin3 1,971.0911.505
box3 1,971.0911.458
whole2 1,314.0610.765
shooder2 1,314.0610.656
anidder2 1,314.0610.549
simmer3 1,971.0910.460
du3 1,971.0910.080
men4 2,628.129.319
clear3 1,971.099.236
anoff3 1,971.09nan
says5 3,285.158.941
whin3 1,971.098.596
sees2 1,314.068.377
pat2 1,314.068.205
her17 11,169.517.982
sam2 1,314.067.884
sometimes2 1,314.067.685
fell3 1,971.097.501
hair3 1,971.097.352
laid2 1,314.067.318
lookin3 1,971.097.289
goes2 1,314.067.232
even5 3,285.157.191
lookit2 1,314.067.148
hert3 1,971.097.126
oot14 9,198.426.781
looks2 1,314.066.719
just4 2,628.126.598
short2 1,314.066.370
oh3 1,971.096.355
s4 2,628.126.307
we13 8,541.396.011
m6 3,942.185.959
half2 1,314.065.936
athoot2 1,314.065.850
he23 15,111.705.838
me11 7,227.335.806
i17 11,169.515.790
couldna2 1,314.065.501
aroond2 1,314.065.401
ask2 1,314.065.401
boy2 1,314.065.376
back8 5,256.245.314
soond2 1,314.065.233
lad2 1,314.065.051
aal2 1,314.064.964
ready2 1,314.064.942
lang5 3,285.154.845
look3 1,971.094.775
no9 5,913.274.700
so5 3,285.154.516
him9 5,913.274.491
ower8 5,256.244.476
haeter2 1,314.06nan
good2 1,314.064.292
wye3 1,971.094.282
every2 1,314.064.258
saeson2 1,314.06nan
win3 1,971.094.144
white2 1,314.063.952
black2 1,314.063.937
ceevilly2 1,314.06nan
gae2 1,314.065.095
by6 3,942.183.921
sittin2 1,314.063.862
sat2 1,314.063.490
dis3 1,971.093.273
tagedder2 1,314.06nan
as4 2,628.123.915
doon7 4,599.213.186
dee2 1,314.063.107
sun2 1,314.063.063
twa5 3,285.153.058
bide2 1,314.063.009
ane4 2,628.122.997
fir3 1,971.092.897
comin2 1,314.062.527
on5 3,285.152.500
never2 1,314.062.181
be4 2,628.122.143
wisna2 1,314.062.025
did3 1,971.091.934
hed2 1,314.061.842
hame3 1,971.091.825
go2 1,314.061.780
could3 1,971.091.758
wör2 1,314.06nan
wi16 10,512.481.653
alang2 1,314.061.630
set2 1,314.061.539
fae2 1,314.061.419
is6 3,942.181.416
place2 1,314.061.239
pritty2 1,314.06nan
wan2 1,314.061.197
man3 1,971.091.108
tell2 1,314.060.922
fine2 1,314.060.893
rostin2 1,314.06nan
see4 2,628.120.845
efter3 1,971.090.830
bein2 1,314.060.715
nor2 1,314.060.709
door2 1,314.060.654
made2 1,314.060.631
kent2 1,314.060.613
een2 1,314.060.582
still2 1,314.060.566
t2 1,314.060.534
mair2 1,314.060.475
get3 1,971.090.467
ony2 1,314.060.452
come2 1,314.060.342
day2 1,314.060.338
hoose2 1,314.060.298
muckle2 1,314.060.291
first2 1,314.060.250
up7 4,599.210.212
or6 3,942.180.190
in22 14,454.660.132
noo2 1,314.060.087
fit2 1,314.060.086
here2 1,314.060.058
for8 5,256.240.047
aboot5 3,285.150.045
time3 1,971.090.031
whit3 1,971.090.025
you3 1,971.090.023
afore2 1,314.060.021
his9 5,913.270.009
agyen2 1,314.06nan
aff2 1,314.060.000
swaet2 1,314.06nan
some2 1,314.060.006
shaeves3 1,971.09nan
broos2 1,314.0614.984