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bigram
stringlengths
3
56
lang
stringclasses
153 values
lang_id
int64
1
154
count
int64
1
296k
Pano pali
nya
1
22
pali Mulungu
nya
1
48
Mulungu wako
nya
1
360
wako Israyeli
nya
1
1
Israyeli iwo
nya
1
5
iwo anafuula
nya
1
8
anafuula yemwe
nya
1
1
yemwe anakutulutsa
nya
1
1
anakutulutsa iwe
nya
1
1
iwe kutuluka
nya
1
1
kutuluka m
nya
1
208
m dziko
nya
1
6,371
dziko la
nya
1
3,965
la Igupto
nya
1
38
Achibwana amalandira
nya
1
1
amalandira cholowa
nya
1
2
cholowa cha
nya
1
50
cha utsiru
nya
1
1
utsiru koma
nya
1
4
koma ochenjera
nya
1
1
ochenjera amavala
nya
1
1
amavala nzeru
nya
1
1
nzeru ngati
nya
1
22
ngati korona
nya
1
5
Chikondi sichitha
nya
1
21
sichitha nthaŵi
nya
1
17
nthaŵi zonse
nya
1
4,863
Chilungamo Chilungamo
nya
1
2
Chilungamo Ndicho
nya
1
2
Ndicho Mudzichitsata
nya
1
1
Inu Mulungu
nya
1
99
Mulungu Wanga
nya
1
12
Wanga Mundikumbukire
nya
1
2
Mundikumbukire pa
nya
1
3
pa Zabwino
nya
1
3
Zabwino Zimene
nya
1
9
Zimene Ndinachita
nya
1
2
Iye Adzauka
nya
1
1
KHAZIKITSANI mtima
nya
1
1
mtima pansi
nya
1
144
Khalani mwa
nya
1
2
mwa Mtendere
nya
1
1
Mtendere ndi
nya
1
81
ndi Anthu
nya
1
121
Anthu Onse
nya
1
120
Kukhala ndi
nya
1
625
ndi ana
nya
1
3,355
ana kukhala
nya
1
41
kukhala wachimwemwe
nya
1
77
wachimwemwe ndiyeno
nya
1
1
ndiyeno kufa
nya
1
2
Kukhuta kwa
nya
1
4
kwa wolemera
nya
1
15
wolemera sikumgonetsa
nya
1
6
sikumgonetsa tulo
nya
1
6
Kwaniritsani chimwemwe
nya
1
3
chimwemwe changa
nya
1
29
changa musachite
nya
1
1
musachite kanthu
nya
1
6
kanthu monga
nya
1
64
monga mwa
nya
1
856
mwa chotetana
nya
1
26
chotetana kapena
nya
1
26
kapena monga
nya
1
121
mwa ulemerero
nya
1
34
ulemerero wopanda
nya
1
33
wopanda pake
nya
1
202
pake komatu
nya
1
26
komatu ndi
nya
1
58
ndi kudzichepetsa
nya
1
120
kudzichepetsa mtima
nya
1
38
mtima yense
nya
1
23
yense ayese
nya
1
24
ayese anzake
nya
1
22
anzake omposa
nya
1
15
omposa iye
nya
1
15
iye mwini
nya
1
484
mwini munthu
nya
1
5
munthu yense
nya
1
147
yense asapenyerere
nya
1
18
asapenyerere zake
nya
1
23
zake za
nya
1
531
za iye
nya
1
611
iye yekha
nya
1
523
yekha koma
nya
1
91
koma yense
nya
1
43
yense apenyererenso
nya
1
24
apenyererenso za
nya
1
25
za mnzake
nya
1
89
MWACHITA ZOPUSA
nya
1
1
Mboni za
nya
1
12,825
za Yehova
nya
1
14,508
Yehova Zandichinjiriza
nya
1
1
Mulungu Ali
nya
1
65
Ali Wamkulu
nya
1
4
Wamkulu Woposa
nya
1
55
Woposa Mitima
nya
1
2
Mitima Yathu
nya
1
10
Mwandidzoza mutu
nya
1
2
mutu wanga
nya
1
30
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Afri-Bigrams

This dataset contains a large-scale collection of word bigrams extracted from text across 154 African languages. It is meticulously designed to support general research and analysis of African languages, providing foundational data based on two-word sequences.

Background

This dataset provides foundational linguistic data, specifically word bigram frequencies, for African languages. This type of structured data is crucial for various computational linguistic tasks, allowing researchers to explore lexical co-occurrence patterns across 154 languages.

Approach Overview

The dataset exclusively includes word bigrams (sequences of two words).

The data provides the raw frequency counts of these word bigrams for each language. Word bigrams are valuable for analyzing lexical co-occurrence and capturing basic syntactic patterns within the corpus used for extraction.

Dataset Structure

Each row in the dataset represents one word bigram and its frequency for a specific language.

Column Description
bigram Extracted sequence (word pair).
count Frequency of the bigram within that language.
lang Two-letter language code.
lang_id Numeric identifier for the language.

Use Cases

  • Statistical analysis of word co-occurrence across African languages.
  • Development of language models and embedding techniques.
  • Linguistic pattern analysis focusing on common lexical sequences.
  • Supporting general multilingual NLP research.

Languages

The dataset covers the following languages. Note that representation may vary across languages.

Acholi (ach), Dangme (ada), Afrikaans (afr), Akan (aka), Alur (alz), Amharic (amh), Algerian Arabic (arq), Moroccan Arabic (ary), Egyptian Arabic (arz), Bamanankan (bam), Basaa (bas), Baoulé (bci), Bemba (bem), Edo (bin), Bulu (bum), Bilen (byn), Chopi (cce), Chuwabu (chw), Chokwe (cjk), Coptic (cop), Seychelles French Creole (crs), Southwestern Dinka (dik), Dinka (din), Zarma (dje), Lukpa (dop), Duala (dua), Jula (dyu), Efik (efi), Éwé (ewe), Fon (fon), Pulaar (fuc), Fulah (ful), Nigerian Fulfulde (fuv), Ga (gaa), Gun (guw), Hausa (hau), Herero (her), Igbo (ibo), Esan (ish), Isoko (iso), Kabyle (kab), Kamba (kam), Kanuri (kau), Kabiyè (kbp), Kabuverdianu (kea), Gikuyu (kik), Kinyarwanda (kin), Kimbundu (kmb), Kongo (kon), Konzo (koo), Kaonde (kqn), Krio (kri), Kisi, Southern (kss), Oshiwambo (kua), Kwangali (kwn), Kikongo (kwy), Lamba (lam), Lingala (lin), Lozi (loz), Luba-Kasai (lua), Luba-Katanga (lub), Luvale (lue), Ganda (lug), Lunda (lun), Dholuo (luo), Mende (men), Morisyen (mfe), Mambwe-Lungu (mgr), Malagasy (mlg), Moore (mos), Mozambican Sign Language (mzy), Min Nan Chinese (nan), Nyemba (nba), Ndau (ndc), Ndonga (ndo), Lomwe (ngl), Northern Sotho (nso), Chichewa (nya), Nyaneka (nyk), Nyankore (nyn), Nyungwe (nyu), Nzema (nzi), Okpe (oke), Oromo (orm), Nigerian Pidgin (pcm), Merina Malagasy (plt), Tarifit (rif), Ruund (rnd), Rundi (run), Sango (sag), Sena (seh), South African Sign Language (sfs), Tachelhit (shi), Sidaama (sid), Shona (sna), Somali (som), Songe (sop), Swati (ssw), Swahili (swa), Congo Swahili (swc), Swahili (swh), Tigrigna (tir), Tiv (tiv), Tetela (tll), Tamashek (tmh), Tonga (tog), Tonga (toh), Tonga (toi), Tswa (tsc), Setswana (tsn), Tsonga (tso), Tooro (ttj), Tumbuka (tum), Umbundu (umb), Urhobo (urh), Venda (ven), Makhuwa (vmw), Wolaytta (wal), Cameroon Pidgin (wes), Wolof (wol), Xhosa (xho), Yao (yao), Yoruba (yor), Zimbabwe Sign Language (zib), Zande (zne), Zambian Sign Language (zsl), Zulu (zul)

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