African-African Parallel Sentences
Collection
Collection of sentence pairs or parallel corpus across African Languages for machine translation.
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703 items
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Updated
Dataset Viewer
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⌀ | Igbo
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500
| Umbundu
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498
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1.249805
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Ma o nweghị otu n' ime ha ga- ada n' ala , Nna unu aghara ịma .
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Kuenje layimue yavio yi lokila posi te Isiene wa ci panga.
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1.249794
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Ùnu pụrụ ịṅụ iko+ nke m na-aga ịṅụ?"
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Vu pondola hẽ oku nyua okopo ame ndi laika oku nyua?"
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1.24938
|
unu kwesịkwara iyiri mmadụ ọhụrụ ahụ nke e kere dị ka uche Chineke si dị , n' ezi omume na iguzosi ike n' ihe .
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Ndele mu shituke vape momhepo yomadiladilo eni, ndele nye mu djale omunhu mupe a shitwa a fe Kalunga omouyuki nomouyapuki woshili."
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1.249207
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Ma nke o bula n'ime ha e nweghi ike ida n'ala, ma o buru na Nna unu amaghi.
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Haimo lumue, layimue pokati kavio yi kupukila posi okuti Isiene ka ci kũlĩha.
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1.249068
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Ndị ahụ zukọtara malitere iti mkpu , sị: " Ọ bụ olu chi , ọ bụghị olu mmadụ !
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Ovanhu ova li va ingida pombada tava ti: "Ondaka ei oyaKalunga, kai fi yomunhu."
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1.248734
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" Sọpụrụ nna gị na nne gị "; nke bụ́ ihe mbụ e nyere n' iwu nke nwere nkwa:
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2 Hlonipa uyililo nonyoko loku ku umyalo wokuqala o ne.sitembiso,
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1.248541
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" (Ezikiel 34:31) Ị bụ otu n'ime atụrụ ya ndị ahụ.
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(Esekiele 34:31) Ove u umue pokati kolomeme viaco.
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1.248024
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O Chineke, I kuziri m bido na nwata m,
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A Suku, wa ndi longisa tunde vutila wange.
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1.247202
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Eji m mmiri mee unu baptizim , ma ọ ga- eji mmụọ nsọ mee unu baptizim .
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Ame ndi papatisa lovava, pole, eye o ka papatisa lespiritu sandu.'
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1.245948
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N' ezie , ana m asị unu , Ihe ndị a niile ga- abịakwasị ọgbọ a .
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Oshili ohandi mu lombwele, oinima aishe oyo otai ke uya kombada yepupi eli."
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1.245812
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Mana otu n'ime ha agaghi ada n'ala ma o buru na o bughi uche Nna unu.
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Haimo lumue, layimue pokati kavio yi kupukila posi okuti Isiene ka ci kũlĩha.
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1.244855
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Nye n'ime ha ga-ahụ ya n'anya karị? ."
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Mbela olyelye womwaava vavali ta ka kala e mu hole unene?"
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1.244846
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Jisus we nāga n'iru n'amam-ihe na ogologo, nāga kwa n'amara n'ebe Chineke na madu nọ.
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Eci Yesu a kula, wamamako kolondunge loku soliwa la Suku kuenda lomanu.
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1.244667
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Ọ̀ bụ na unu adịghị oke ọnụ ahịa karịa ha?
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Wun pe piwu tek kato pi winyo?
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1.244546
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[18] Unu bụ ụmụ nwanyị nwere dị, doonụ onwe unu nꞌokpuru di unu nꞌihi na nke a bụ ihe unu kwesịrị ime dị ka ndị Kraịst.[19] Ma unu ndị bụ di, unu enwela obi ilu nꞌebe nwụnye unu nọ, kama na-ahụnụ ha nꞌanya.
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Ovalumenhu nye, holeni ovakainhu veni, nye inamu va ningila onyanya.
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1.24426
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Ọ bụ na anyị siri ike karịa ya?
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Siti eye wa pama vali okuti etu tu sule?
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1.243937
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Ụzọ gị bụ nke ezi omume na nke eziokwu, Eze mgbe ebighị ebi."
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Olonjila viove viesunga haivio viocili, a Soma yonahũlũlua.
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1.242939
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were kwa nkwadebe nke bu ozi ọma nke udo yikwasi n'ukwu-unu;
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Wali kolomãi eliangiliyo liondaka yiwa yombembua.
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1.241958
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8'A ga-enwe oké ala ọma jijiji.'
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8 "Ku kala ovilemawe vinene."
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1.240872
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Jizọs si otú a nye anyị ihe ahụ Adam tụfuru.
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Yesu wa tumbulula eci Adama a pumba.
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1.240621
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Olee ọnwụnwa ndị bịaara ụfọdụ ndị amụma, ha atachie obi n'ihi okwukwe ha?
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Ovaprofeti vamwe ova li ve lididimikila omayeleko elipi omolweitavelo lavo?
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1.240556
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M ga-enye gị ndụmọdụ, anya m ga-adị n'ebe ị nọ."
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Hu lungula, kuenda hu imba ovaso.'
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1.240295
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A sị nnọọ na ị ga-aṅa ntị n'ihe m nyere n'iwu!
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Nda wa yevelile ovihandeleko viange!
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1.24017
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Mee Ka M Mara Ụzọ Gị 89.
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Ndekise Olonjila Viove 89.
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1.239965
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Ọ bụrụ na ha egee ya ntị, ha ga-adị ndụ ebighị ebi.
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Ngeenge ova pwilikine kuye, otava ka kala nomwenyo fiyo alushe.
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1.238871
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O nweghị onye ma kpọmkwem mgbe Alaeze Chineke ga-abịa. - Matiu 24:36.
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Voluali lomue wa kũlĩha eteke Usoma wa Suku u keya. - Mateo 24:36.
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1.238633
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Ọ gwọrọ ndị ọrịa, ọbụna mee ka ndị nwụrụ anwụ si n'ọnwụ bilie.
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Wa sakula olombei kuenda wa pindula omanu kolofa.
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1.238266
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Jizọs wee sị, ""E nwere otu nwoke bụ onye nwere ụmụ nwoke abụọ.
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Kuenje Yesu o fetika loku popia hati: "Ulume umue wa kuata omãla vavali valume.
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1.237525
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Ọ̀ bụ na unu adịghị oké ọnụ ahịa karịa ha ?
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Wun pe piwu tek kato pi winyo?
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1.237119
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A na-ekwusa ozi ọma Alaeze Chineke n'ụwa niile, otú ahụ Jizọs buru n'amụma.
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Olondaka viwa Viusoma wa Suku vi kasi oku kundiwa voluali luosi, ndomo Yesu a ci popele.
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1.236182
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Nwoke ahụ ga- egosikwa unu nnukwu ọnụ ụlọ dị n' elu nke e doziri edozi .
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Eye o ka vu lekisi ohondo yimue yinene kosapalalo ya posuisua.
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1.235853
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Ọ sịrị ha: "Ya onwe ya na-enye mmadụ niile ndụ na ume na ihe niile.
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Upostolo Paulu wa soneha ndoco: "[Suku] eca eca komanu vosi omuenyo lefuimo lovina viosi.
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1.235834
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Jiri otu izu lee otú i si eme (ọ bụghị otú di gị ma ọ bụ nwunye gị si eme) ma a bịa n'otú i si:
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Vokuenda kuosemana yimosi, kũlĩhisa ocituwa o lekisa okuti (kovituwa viohueli yove hakoko) kovina ndeci:
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1.235245
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Jon: Echere m na ọ bụ Chineke.
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Jon: Ndi sima okuti ondaka yaco yi tiamisiwila ku Suku.
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1.234882
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Sọpuru nna-gi na nne-gi (nke bu ihe mbu enyere n'iwu nke nkwa diri ya),
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2 Hlonipa uyililo nonyoko loku ku umyalo wokuqala o ne.sitembiso,
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1.234878
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7:23) Mmadụ niile nọ n'ụwa taa si n'agbụrụ Noa, ụmụ ya, na ndị nwunye ha.
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(Gen. 7:23) Keshe umwe e li kombada yedu kunena oku li oludalo laNoa, lovanamati novakulukadi vavo.
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1.234757
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(Ndị Efesọs 6:1) Mụta ihe n'aka Chineke.
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(Va Efeso 6:1) Lilongisa ongangu ya Suku.
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1.234315
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" Unu nụrụ na a sịrị , ' Anya laara anya , ezé laakwara ezé .
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'Wa yevi eci ca popiwa citi: Iso liso, eyo leyo.'
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1.233818
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Ya mere , ha jụrụ ya ajụjụ , sị ya: " Gịnịzi mere i ji na- eme baptizim ma ọ bụrụ na ọ bụghị gị bụ Kraịst ma ọ bụ Ịlaịja ma ọ bụ Onye Amụma Ahụ ?
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Ovo va pula vati: "Momo lie o papatisila nda ove ku Kristuko, ale Eliya pamue Uprofeto?"
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1.233755
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Baịbụl sịrị: "Anya ga-alara anya, ezé ga-alara ezé.
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Kotembo yaco, "ovaso olomeke a ka patuluka kuenda ovatuĩ ovisitatuĩ a ka situluka.
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1.233448
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Olee ozizi ndị na-eme ka ndị mmadụ ghara ịma nke bụ́ eziokwu banyere Chineke?
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Alongiso api avali a siata oku tateka omanu oku kũlĩha ocili catiamẽla ku Suku?
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1.233335
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Ònye makwanụ ụlọ ole ọ ga-abụ mmadụ gaa, ya aghara ịhụ ụmụ nwaanyị na ụmụaka ndị na-ebe ákwà maka na ha anụla na di ha, nna ha, ụmụ ha ndị nwoke ma ọ bụ ụmụnne ha ndị nwoke agaghịzi alọta?
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Volonjo viñami mua yevala onjuvungo yoku lila kuakãi lomãla va pesela va isiavo, alume lomãla vavo, okuti lalimue eteke va laikele oku tiuka vali konjo?
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1.233145
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Mach 2014 _ Ihe Chineke Meere Gị
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Elombo 2014 _ Ceci Suku a siata oku ku Lingila
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1.232423
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" Unu nụrụ na a sịrị , ' Akwala iko .
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'Wa yevi eci ca popiwa citi: Ku ka pekelise.
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1.232091
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Ị̀ Na-ahụ "Onye A Na-apụghị Ịhụ Anya"?
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Ove hẽ o Lete "Una Ka Muiwa Lovaso"?
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1.232083
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" N' ihi na m ga- agbaghara ha njehie ha , agakwaghị m echeta mmehie ha .
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Momo ndi ka ecela evĩho liavo, kuenda si ka ivaluka vali akandu avo.'" - Yer.
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1.23157
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Unu gburu ohu Chineke bụ́ Jizọs, unu adịghịkwa erube isi n'iwu Chineke.
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Ene wa pondi omõla wa Suku, Yesu, kuenda ka vu kasi loku pokola kovihandeleko via Suku.'
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1.231032
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Ị̀ Ga-ahụli Chineke Onye Mmadụ Na-enweghị Ike Ịhụ Anya?
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O Pondola hẽ Oku Mõla Suku ka Muiwa?
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1.231013
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"Ọ Dịtụbeghị Onye Ọzọ Si Otú A Kwuo Okwu"
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"Lomue Omunu wa la Popia Ndeye" _ Omuenyo wa Yesu
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1.230923
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Ihe anyị ga-amụta n'ihe a bụ na Chineke na-agọzi ndị nwere okwukwe na ya.
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Ulandu waco u tu longisa okuti, Yehova o sumũlũisa vana va kolela kokuaye.
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1.230845
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Obi siri Job ike na ọ ga-adị ndụ ọzọ
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Yovi wa kolelele okuti o ka kuata vali omuenyo
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1.230526
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Ha wee na- eti mkpu n' oké olu , sị: " Nzọpụta anyị si n' aka Chineke anyị , bụ́ onye nọ ọdụ n' ocheeze ahụ , nakwa n' aka Nwa Atụrụ ahụ .
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Ovo va kaluka lolukandi vati: "Epopelo li tunda ku Suku yetu, una wa tumãla kocalo kuenda ku Kameme."
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1.229898
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18 Onye na -ekwu okwu n'onwe ya na -achọ otuto nke ya; mana onye na -achọ otuto nke onye zitere ya bụ eziokwu, na ọ dịghị okwu ụgha dị n'ime ya.
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18 Ou ta tongo muye mwene, ota kongo efimano laye mwene, ndele ou ta kongo efimano laau e mu tuma, oye omunashili, noipupulu kai mo muye.
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1.229435
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Sọpụrụ nna gị na nne gị, nke bụ iwu mbụ e kwere nkwa ya. "
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2 Hlonipa uyililo nonyoko loku ku umyalo wokuqala o ne.sitembiso,
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1.229243
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Ma, ọ na-atụ anya ịhụ ya ọzọ n'ụwa ọhụrụ Chineke kwere nkwa ya.
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Pole, o lavoka oku lisanga vali lulume waye voluali luokaliye Suku a likuminya.
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1.228522
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Unu ndị bụ́ di , na- ahụnụ nwunye unu n' anya , unu ewesola ha oké iwe .
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Ovalumenhu nye, holeni ovakainhu veni, nye inamu va ningila onyanya.
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1.227719
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Anthony: Ọ ga-abụ na e nwere ọtụtụ ihe mere ha ji ekwu ya.
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Antonio: Citava okuti kuli asunga amue a va vetiya oku ci popia.
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1.227635
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Mgbe ha gafechara, Elaija agwa Elaisha si, "Rio ihe obula m ga-emere gi tupu a kpopu m ebe i no."
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Ofimbo ve li molweendo, Elia okwa pula Elisa ta ti: "Indile nge ndi ku ningile ouwa washa, fimbo inandi kufwa po puove."
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1.227255
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Nꞌihi na Kraịst ga-abụ eze tutuu ruo mgbe ọ lụgburu ndị iro ya nile, doo ha nꞌokpuru ụkwụ ya.
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Momo Kristu o viala toke a kapa ovanyãli vaye vosi vemehi [liolomãhi] viaye.
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1.227222
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Adịghị m anabata otuto si n' aka mmadụ ,
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"Ame ita ndi amuka kovanhu, ovanhu ovo nda hala.
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1.22707
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Ọ ga-ekele ohu ahụ maka ime ihe a gwara ya mee?
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Eye ka lekisa hẽ olopandu kupika omo a linga ovina vo handeleka?
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1.22674
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Gịnị mere anyị niile ji achọ ka ahụ́ sie anyị ike?
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Momo lie vosi yetu tu yonguila oku kuata uhayele?
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1.226652
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Ì kweere na "okwu ndị a kwesịrị ntụkwasị obi, bụrụkwa eziokwu"?
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Ove hẽ o tava okuti "olondaka evi via sunguluka, kuenda viocili"?
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1.226424
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Chineke m, ọ bụ gị ka m tụkwasịrị obi.
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Eye Suku yange, ndu kolela.'"
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1.226391
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Amaara M atụrụ M, atụrụ M makwaara M
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Ñũliha olomeme viange.
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1.226262
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a wụrụọlẹ hụn gi ụlọ!"
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Kuenje onjo yene yu siali upolokoso."
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1.225895
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Bịa soro nna gị ukwu ṅụrịa ọṅụ.'
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Sanjukila kumue la cime cove.'
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1.225239
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17 Mmadụ iri asaa na abụọ ahụ ji ọṅụ laghachi, sị, "Onyenwe anyị, ọbụna ndị mmụọ ọjọọ na-edo onwe anyị n'okpuru anyị n'aha gị!"
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Lesanju lialua vo sapuila vati: "A Ñala ndaño muẽle olondele via pokola kokuetu omo lioku tukula onduko yove."
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1.225115
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O kwuru na a ga-atụba onye ọ bụla na-emeghị otú ahụ n'ime oké ọkụ.
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Omunhu keshe oo a li ina dulika kelombwelo olo okwa li ta ka ekelwa mediko lomundilo a fye.
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1.225011
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1:12 Ma onye ọ bụla nke ndi nara Ya, bụ ndị kweere n'aha Ya, o nyere ha ike ighọ umu Chineke.
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12 Ndelenee aveshe ava ve mu tambula, okwe va pa eenghono, va ninge ovana vaKalunga, ava hava itavele edina laye.
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1.224799
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Unu na ndị ogbenye ga-anọ oge nile, ma ọ bụghị mụ na unu ga-anọ mgbe nile.
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Otembo yosi ene vu kasi lolohukũi, pole, ka vu kala lame otembo yosi.
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1.224415
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Ọ bụrụ na ha egee ya ntị, ha ga-adị ndụ ebighị ebi.
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Nda va yevelela kokuaye, va ka kala otembo ka yi pui.
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1.223776
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" Onye a bụ Mozis ahụ gwara ụmụ Izrel , sị , ' Chineke ga- esi n' etiti ụmụnne unu họpụtara unu onye amụma nke dị ka mụ onwe m .
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Moses okwa li a lombwela Ovaisrael a ti: "Omwene Kalunga koye ote ke ku pendulila mo omuxunganeki ngaashi ame.
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1.223043
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Olee ihe mere i ji asị , ' Unu ga- enwere onwe unu ' ?
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O popia ndati huti, 'Vu yovoka'?"
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1.222683
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Ndi ọzọ nāsi, Gini mere nwoke nke nēmehie nēme ihe-iriba-ama di otú a?
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Handi vakuavo va popia vati: "Ulume ukuakandu o linga ndati ovilimbu ndevi?"
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1.222449
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(Zefanaya 2:3) Olee mgbe ọ ga-eme ya?
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(Sofoniya 2:3) Otembo yipi ci ka lingiwa?
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1.222143
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Gi onwe-gi edebewo manya-vine ọma rue ub͕u a.
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Ove wa holeka omaviinyu mawa fiyo opaife."
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1.222119
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I debere mmanya dị mma ruo ugbu a.
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Ove wa holeka omaviinyu mawa fiyo opaife."
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1.221207
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N'ime ụmụ abụọ ndị a olee nke mere uche nke nna ya?
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Elipi po womwaava vavali a longa ehalo laxe?"
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1.220978
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I debere mmanya dị mma ruo ugbu a .
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Ove wa holeka omaviinyu mawa fiyo opaife."
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1.220663
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Abịara m ka ha nwee ndụ , ka ha nweekwa ya n' uju .
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Ame nde uya, vo va kale nomwenyo nouyadi.
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1.220645
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A Ndị Mmadụ Hà Ga-emebiru Ụwa A Otú Ọ Na-agaghịzi Ekwe Mmekwata?
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Omunu hẽ o ka Amamako Oku Nyõla Ongongo Okuti ka yi Tumbuluiwa Vali?
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1.220581
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Gịnị bụ "ndụ ahụ nke bụ́ ndụ n'ezie"?
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'Omuenyo wocili' u lomboloka nye?
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1.220478
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Ọ dịrịghị mmadụ nke na-eje ije ọbụna iduzi nzọụkwụ ya."
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Omunu enda ka tẽla eye muẽle oku suñamisa okuenda kuaye."
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1.219457
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"Erila mkpụrụ si n'osisi ịma ihe ọma na ihe ọjọọ, n'ihi na n'ụbọchị i riri mkpụrụ si na ya, ị ga-anwụrịrị." - Jenesis 2:17
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Te lika uti woku kulĩhĩsa eci ciwa leci cĩvi, owo ka ci tava oku liako, momo eteke o liako haico o fa.'" - Efetikilo 2:15-17.
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1.219455
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Ị̀ na-ejikarị ụgwọ?
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Otembo yosi o kuete olofuka?
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1.21939
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Ọ́ bụghị m na- eziga gị ?
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Hameko hẽ nda ku tuma?"
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1.219263
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Mana e meriri ha, nke mere na ha enweghịkwa ọnọdụ ọbụla n'eluigwe.
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Nongadu novaengeli vaye ova lwa yo, ndele ova nyengwa, nonhele yokukala kwavo meulu inai monika vali.
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1.21894
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Ọ dịrịghị mmadụ nke na-eje ije ọbụna iduzi nzọụkwụ ya."
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" Omunu enda ka tẽla eye muẽle oku suñamisa oku enda kuaye. "
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1.218599
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17 Mgbe ahụ ihe e kwuru site n'ọnụ Jeremaịa onye amụma mezuru:
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17 Ŋai uku ki gande wusyep ende ŋaiye somohonme profet Jeremaia ŋanange taꞌe leꞌe,
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1.218171
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(Jọn 3:36) Gịnị ka mmadụ inwe okwukwe pụtara?
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(Yoano 3:36) Oku lekisa ekolelo ci lomboloka nye?
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1.218102
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5 Ma, Chineke ò kere Setan bụ́ Ekwensu?
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5 Anga hẽ Suku eye wa lulika Satana Eliapu?
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1.218064
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Ọ ka mma inwe ọtụtụ ndị enyi."
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Ciwa nda o kuete akamba valua."
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1.217876
|
N' oge niile m nọ n' ụwa , abụ m ìhè nke ụwa .
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Osimbu ndi kasi voluali, ndicinyi coluali."
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1.217851
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Onye o bula eji mma, ọ dị mma maka ya; ma ka ngwa ngwa nke kaara gị mma,ọ bụrụ na ị ma maara .
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Nonande otashi dulika u va pe omayele, va pandula ngeenge otashi shiiva.
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1.217739
|
Ònye ga-eme ka nsogbu ndị mmadụ nwere bie?
|
Helie o ka tetulula ovitangi viomanu?
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1.217654
|
Baptizim Jọn , ò si n' eluigwe ka ò si n' aka mmadụ ?
|
Epapatiso lia Yoano, lia tunda kilu, ale komanu?
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1.217482
|
Ma, ka ụbọchị atọ gachara, ha hụrụ ya n'ụlọ nsọ.
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Pole, noke yoloneke vitatu, vo sanga vonembele!
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1.216825
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Ka Anyị Tachie Obi Ruo Ọgwụgwụ 129.
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Pandikisa Toke Kesulilo 129.
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1.216487
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Baptizim Jọn mere , ò si n' eluigwe ka ò si n' aka mmadụ ?
|
Epapatiso lia Yoano, lia tunda kilu, ale komanu?
|
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Igbo-Umbundu_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source initiative led by META. You can find more information here: OPUS - NLLB-v1
Metadata
- File Name: Igbo-Umbundu_Sentence-Pairs
- Number of Rows: 58532
- Number of Columns: 3
- Columns: score, Igbo, Umbundu
Dataset Description
The dataset contains sentence pairs in African languages with an associated similarity score. Each row consists of three columns:
score: The similarity score between the two sentences (range from 0 to 1).Igbo: The first sentence in the pair (language 1).Umbundu: The second sentence in the pair (language 2).
This dataset is intended for use in training and evaluating machine learning models for tasks like translation, sentence similarity, and cross-lingual transfer learning.
References
Below are papers related to how the data was collected and used in various multilingual and cross-lingual applications:
[1] Holger Schwenk and Matthijs Douze, Learning Joint Multilingual Sentence Representations with Neural Machine Translation, ACL workshop on Representation Learning for NLP, 2017
[2] Holger Schwenk and Xian Li, A Corpus for Multilingual Document Classification in Eight Languages, LREC, pages 3548-3551, 2018.
[3] Holger Schwenk, Filtering and Mining Parallel Data in a Joint Multilingual Space ACL, July 2018
[4] Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk and Veselin Stoyanov, XNLI: Cross-lingual Sentence Understanding through Inference, EMNLP, 2018.
[5] Mikel Artetxe and Holger Schwenk, Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings arXiv, Nov 3 2018.
[6] Mikel Artetxe and Holger Schwenk, Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond arXiv, Dec 26 2018.
[7] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv, July 11 2019.
[8] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
[9] Paul-Ambroise Duquenne, Hongyu Gong, Holger Schwenk, Multimodal and Multilingual Embeddings for Large-Scale Speech Mining, NeurIPS 2021, pages 15748-15761.
[10] Kevin Heffernan, Onur Celebi, and Holger Schwenk, Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
58,532