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word
stringlengths
1
70
frequency
int32
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1.61M
no
1,606,515
a
1,167,740
na
960,536
so
784,968
me
758,634
ne
734,190
mu
442,442
ho
346,387
wo
331,839
twi
197,234
mo
183,327
saa
177,928
to
171,170
bi
170,231
yi
154,908
de
147,766
nyinaa
145,120
ma
140,442
nea
132,563
nso
120,600
se
112,602
in
107,807
of
106,996
n
101,825
ka
98,663
da
97,991
bere
93,104
nanso
88,569
ase
87,065
nnipa
84,698
biara
83,346
m
82,397
awurade
81,158
anaa
77,037
nti
72,708
ani
70,609
i
66,735
us
65,727
w
64,908
enti
63,494
t
61,994
ba
59,489
ama
56,676
be
56,633
mma
55,744
di
55,306
obi
54,328
akan
51,873
ye
49,934
s
49,253
te
49,233
maa
48,958
la
48,482
fa
48,054
asase
47,366
adwuma
45,535
ni
45,308
home
42,673
fi
42,408
obiara
41,961
nni
39,730
adi
39,261
paa
38,821
woman
38,733
nsa
38,565
ade
38,112
kwan
37,320
akyi
35,878
pa
35,122
agya
35,059
we
34,526
aba
34,497
ano
34,058
at
33,721
nkwa
32,269
e
32,185
gye
32,181
baa
32,037
wiase
31,369
anim
31,158
too
30,660
aka
30,381
daa
29,876
tumi
29,745
kasa
28,750
nokware
28,036
mpo
27,776
baako
27,699
more
27,588
o
27,424
on
27,399
bo
26,986
kan
26,094
ko
25,978
koraa
25,822
sen
25,771
den
25,678
from
25,403
or
25,140
kae
25,082
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Twi Words Dataset

The Twi Words Dataset is a curated list of over 50,000 unique words in Twi, a major language spoken in Ghana. This dataset aims to support Natural Language Processing (NLP) tasks in Twi, particularly for low-resource language modeling, classification, and lexicon development.

Purpose

This dataset is created to support:

  • NLP development for low-resource African languages
  • Spell checkers and autocorrect models
  • Text-to-speech and speech-to-text training
  • Language modeling and word embeddings
  • Educational and lexicographic tools

Data Fields

Each row in the dataset contains:

Word Frequency
twi_word_1 1234
twi_word_2 987
... ...
  • Word: A unique word in Twi extracted from a large corpus.
  • Frequency: The number of times the word appears in the corpus, indicating its usage frequency.
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