Datasets:
Tasks:
Translation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-identification
Languages:
Twi
Size:
10K - 100K
License:
word
stringlengths 1
70
| frequency
int32 1
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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in Data Studio
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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