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
score
float32 1.04
1.25
| Lingala
stringlengths 10
476
| Umbundu
stringlengths 10
498
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1.249998
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Boya epai na ngai bino nyonso oyo bolembi mpe bomemi mikumba, bongo ngai nakopesa bino kopema.
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'Ileni kuame, nye amushe hamu longo nomwa lolokifwa, Ame ohandi mu pe etulumuko.
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1.249997
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Koluka kolongwa na boombo na ntango ya kala mpe lelo
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Oku Yovuiwa Kupika - Kosimbu kuenda Koloneke Vilo
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1.249976
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Bango mpe bakoki kozwa matomba na toli oyo ezali na Baroma mokapo 8.
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Ovo va pondolavo, oku kuatisiwa lelungulo li sangiwa vukanda wa Va Roma ocipama 8.
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1.249972
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Bazali batambwisi oyo bakufá miso.
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Ovo asongui olomeke.
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1.249902
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Nzokande bino bosengeli kozala bongo te. . . .
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Hacoko ci kala pokati kene. . . .
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1.249863
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Nyonso esukaka na liwa te!
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Olofa Havioko Esulilo liovina Viosi!
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1.249825
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Bitumba ekozala lisusu te.
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Uyaki ka u ka kalako vali.
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1.249789
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Jon: Okoki kolimbolela ngai esakweli ya Danyele?
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Jon: O pondolavo hẽ oku ndomboluila ocitumasuku ca Daniele?
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1.249697
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"Bakufi bayebi ata eloko moko te."
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"Ava va fa lacimue va kũlĩha."
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1.249654
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Kasi, libota yango elingaki ete Rebeka atikala na bango mikolo zomi.
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Pole, epata lia yonguile okuti va kala vali laye oloneke ekũi.
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1.249442
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"Moto moko te akoki kozala moombo ya bankolo mibale. . . .
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"Lomue o tẽla oku vumba vacime vavali. . . .
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1.249396
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Ndenge oyo okoki kozwa kimya
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Ombembua tu yi Sanga Ndati?
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1.249366
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Mpo alingi ete ozala na esengo.
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Momo eye o yongola okuti ove o sanjuka.
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1.249346
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Bazongisaki: 'Zomi na mibale.
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Ovo vo tambulula vati: 'Ekũi la vivali.'
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1.249337
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Sikoyo, nabangaka lisusu te makambo ya bomoi mpe namitungisaka lisusu te mpo na mikolo ezali koya.
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Cilo si kuete vali usumba komuenyo kuenda asakalalo atiamẽla kovaso yoloneke.
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1.249253
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Nazwaki batisimo na mokolo ya 8/01/2005.
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Nda papatisiwa keteke 8 ya Susu wo 2005.
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1.249136
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"Mo du . . . na Bakere Erâ, ki Mangi He"
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'Kuata Utõi Linga Upange'
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1.249081
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Sanza ya Avril 2014 _ Osengeli kobondelaka?
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Kupupu 2014 _ Ove hẽ o Sukila Oku Likutilila?
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1.249063
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8"Koningana minene ya mabelé ekozala."
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8'Makukakala ovinimawe ovinene.'
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1.249019
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Bazalaki 'bato lokola biso.'
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Momo Eliya wa kala "omunu ukuavituwa ndevi vietu."
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1.248971
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2 Bato mosusu bakanisaka ete Nzambe akoki komona te makambo oyo bazali kosala.
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2 Ovanhu vamwe vali ohava diladila kutya Kalunga ita dulu okumona osho tava ningi.
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1.24897
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Mobali mpe mwasi basengeli kolinganaka mpe kopesanaka limemya.
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Ulume lukãi va sukila oku lisola kuenda oku lisumbila pokati.
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1.248956
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2 Kasi, mpo na nini makambo ezali ndenge mosusu lelo oyo?
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2 Momo lie ovina via litepela koloneke vilo?
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1.248897
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Jon: Makambo ya ndenge nini?
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Jon: Ovina viaco vi pi?
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1.248882
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Bandeko mpe bazalaki na bopɔlɔ.
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Vamanji va kalavo vakuesuluviko.
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1.24881
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MOKAPO 23 "Ye alingaki biso liboso"
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ETUKULWA 23 "Oye a kala e tu hole tete"
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1.248779
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Adama alyaki mbuma ya nzete oyo bapekisaki ye.
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Adama walia kuti vohandelekele okuti ka citava oku liako.
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1.24877
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Yozefe ayebi bandeko na ye, kasi bango bayebi ye lisusu te.
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Yosefe wa limbuka vamanjaye pole ovo ka vo limbukile.
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1.248609
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Mabele ekofungola monɔkɔ na yango mpe ekomɛla bato mabe oyo.'
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O veta oluali lohunya yomẽla waye, kuenje ipa vakuevĩho lofela yovomẽla waye."
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1.248595
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Tata na ngai, Nzambe na ngai, mpe moninga na ngai (Loyembo 30)
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Isiange, Suku Yange Kuenda Ekamba (Ocisungo 30)
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1.248426
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Mpo na nini Moize andimisamaki ete akozwa mbano?
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Momo lie Mose a kuatela elavoko lioku tambula onima?
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1.248415
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14 Yesu asukaki kaka te na koteya bolingo.
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14 Yesu wa linga vali calua okuti hakulongisako ño lika ocisola.
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1.248391
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Ndenge nini tokoki koyeba ye malamu?
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Tu pondola ndati o ku u kũlĩha ciwa?
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1.248344
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"Naino moto mosusu alobá lokola moto oyo te"
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"Lomue Omunu wa la Popia Ndeye" _ Omuenyo wa Yesu
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1.248341
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Yesu alobaki boye: "Esengo ya kopesa eleki oyo ya kozwa."
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Yesu wa popia hati: "Esanju li tunda koku eca olio lia velapo, li tunda koku tambula li sule."
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1.24831
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Balobaki boye: "Likambo oyo euti na Yehova."
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Omo liaco, va popia hati: "Ondaka ya tunda ku Yehova."
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1.248306
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Nzambe atyaki bango na paradiso.
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Suku wa va kapele vocumbo cimue ceposo.
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1.248243
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"Bakoyekola mpe etumba lisusu te"
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"Ndaño ovita ka va vi lilongisa vali"
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1.248171
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Nzambe akolongola makambo nyonso oyo ebimisaka mitungisi.
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Suku o ka malako ovina viosi vi tu kokela asakalalo.
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1.24807
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Bokoki te kozala baombo ya Nzambe mpe ya bomɛngo." - MAT.
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Ko tẽla oku vumba Suku kuenda ukuasi." - MAT.
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1.24807
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Bokoki te kozala baombo ya Nzambe mpe ya bomɛngo." - MAT.
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Ko tẽla oku vumba Suku kuenda ukuasi." - Mat.
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1.247939
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Ezali nde na likabo mosusu oyo eleki yango na valɛrɛ?
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Kuli hẽ ombanjaile yikuavo ya velapo okuti eyi yi sule?
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1.247855
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Tókanisaka basali ya ntango nyonso
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Ivaluka Vamanji va Litumbika Kupange Wotembo Yosi
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1.247795
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Mpo tózala na mpiko mpenza mpe tóloba: 'Yehova azali mosungi na ngai; nakobanga te.
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Pole, tu kuati utõi loku popia tuti: 'Yehova eye oñuatisi yange, si kuata usumba.
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1.247759
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Na nsima, toyekolaki Biblia na ba-chinois 112!
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Omo liaco, tua longisa Embimbiliya kueci ci soka 112 komanu vo kofeka yo China!
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1.247718
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Ezali na Yoane 17:26.
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Olondaka viaco via sonehiwa kelivulu lia Yoano 17:26.
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1.247533
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Okoki kobunda na Satana mpe kolonga!
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Oto dulu okulwifa Satana fiyo wa findana!
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1.247528
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Kasi Moize alobaki: 'Bóbanga te.
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Pole, Mose wa popia hati: 'Ko ka kuati usumba.
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1.247519
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Bilei ya mpokwa ya Nkolo (Loyembo 19)
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Ondalelo ya Ñala (Ocisungo 19)
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1.247483
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Baanzelu bazali na kati ya libota ya Nzambe.
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Ovangelo va panga onepa kepata lia Suku.
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1.247476
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Botángi ya Biblia: Nakobanda ndenge nini?
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Oku tanga Embimbiliya: Ndi Pondola Oku Fetika Ndati?
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1.24739
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Okokoba 'kosɛnzɛla'?
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Ove hẽ o ka "Amamako Oku Lavulula"?: (Akuk.
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1.247349
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Matomba nini mosala na ngai ezali komemela basusu?'
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Upange wange u kuatisa ndati vakuetu?'
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1.247305
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Mokonzi ya seko, banzela na yo ezali boyengebene mpe solo."
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Olonjila viove viesunga haivio viocili, a Soma yonahũlũlua.
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1.247104
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"Zalá na mpiko . . . mpe salá"
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'Kuata Utõi Linga Upange'
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1.246989
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Nzambe atalaka motema nde.
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Suku o kũlĩhĩsa utima.
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1.246936
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Kozala moninga ya Nzambe elimboli nini?
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Oku kala ekamba lia Suku ci lomboloka nye?
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1.246856
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Ayinaka mpenza mobulu.
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Suku o nyãle ungangala.
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1.246837
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Otángaki na likebi banimero ya Linɔ́ngi ya Mosɛnzɛli oyo euti kobima?
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Wa luluvalela ciwa kovipama vimue wa tanga kutala wondavululi umue wokaliye?
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1.246712
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Nzambe alingi tótambola na banzela na ye.
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Kalunga okwa hala tu ende meendjila daye.
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1.24671
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Bongo aponaki zomi na mibale kati na bango; baoyo apesaki bango kombo bapostolo:
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Okwa li a deula tete ovanhu ve li 12, ovo a li a hoolola va ninge ovayapostoli vaye.
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1.246681
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To ozali komiyoka ndenge Ed amiyokaki?
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Ale wa kala nda Ed?
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1.24642
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Liwa ya moto moko oyo akufaki eleki sikoyo mbula soki 2 000 ezali na ntina nini mpo na yo?
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Olofa viulume umue okuti tunde eci a pondiwa pa pita ale 2.000 kanyamo ku kuete esilivilo lie kokuove
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1.246326
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Ndenge nini okoki kosepela lisusu mingi na losambo na kati ya libota na bino?
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Ove lepata liove vu sanjukila ndati efendelo liene liepata?
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1.246299
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"Nautaki na likoló." - Yoane 6:38
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'Nda tunda kilu.' - Yoano 6:38
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1.246297
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Akoki te kokokisa makambo nyonso oyo elobelami na lisolo ya Noa?
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Oco hẽ ka ponduile oku linga ovina viosi via lomboluiwa vulandu wa Noha?
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1.246293
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Mpo na nini tosengeli te kobanga bato oyo bakufá?
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Momo lie ka tu sukilila oku kuatela usumba omanu va fa?
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1.24622
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Mpe bakufi basambisamaki na makambo oyo ekomamá na kati ya barulo yango engebene misala na bango."
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Kuenje ava "va fa va tetuluiwa lovina via sonehiwa valivulu [aco], okuti lovilinga viavo."
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1.246188
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Kutu, na siɛklɛ ya liboso basusu basalaki bongo!
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Eci oco vamue va linga kocita catete.
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1.246158
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Kasi Kaina ayokaki te.
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Pole, Kaini ka yevele kondaka yaco.
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1.24613
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Nakosepela tólobela likambo yango mokolo mosusu. *
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Eteke likuavo tu sapela eci catiamẽla kondaka eyi. *
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1.246114
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Nazali kosala biloko nyonso biloko ya sika."
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Ovina viosi ndi vi lingisa viokaliye.'
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1.246085
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Na nyonso, natali bikólo soki 70 na mokili mobimba.
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Omo liaco, ovongende osi nda linga, nda nyula ale ci soka 70 kolofeka vi sangiwa voluali luosi.
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1.246018
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Azwaki ntango ya kolimbolela ngai makambo nyonso.
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Eye wa sandiliya otembo yoku ndi lomboluila ovina viosi.
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1.245866
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Yesu alobaki boye: "Mokosi!
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Yesu wa popia hati: "Okuambambe!
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1.245829
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Moize abangaki, mpe azipaki elongi na ye.
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Mose wa kuata usumba kuenje wa sitika ocipala caye.
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1.245826
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Yehova akangaki porte na yango, mpe mbula ebandaki kobɛta.
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Yehova wa yika epito kuenje ombela ya fetika oku loka.
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1.245824
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Azalaki kosalisa babola mpe bato oyo bazangá.
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Eye wa enda oku kuatisa olohukũi kuenda olosuke.
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1.245526
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'Oyo ezali ekaniseli mpo na bino'
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'Ovina Evi vi Linge Onjivaluko Kokuene'
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1.2455
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Mwana-kelasi ayebi koteya malamu koleka molakisi na ye?
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Anga ondonge ya velapo kukũlĩhĩso okuti ulongisi waye ci sule?
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1.245435
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Mwana na yo akufi.'
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Omõlove wa fa.'
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1.245364
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Mabota na bango ezali na mikakatano ya makasi.
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Momo apata avo, a kuete ovitangi vialua.
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1.245345
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Omoni te ete okoyoka ete ozali na nyongo ya moto yango oyo abikisi yo?
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Ove hẽ, nda kua liyevele okuti o kuete ofuka lomunu waco wa ku yovola?
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1.24525
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18 Natindi bango na mokili, ndenge yo mpe otindaki ngai na mokili.
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18 Ngaashi Ove wa tuma nge mounyuni, osho Ame onde va tuma mounyuni.
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1.245155
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Buku oyo esengeli koyeba mateya na yango
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Elivulu tu sukila oku kuata elomboloko lialio
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1.244972
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Kasi bolingaki yango te.
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Pole, ene ka wa ci yonguili.
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1.244969
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'Bilei na ngai ezali kosala mokano ya Nzambe'
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'Okulia Kuange Oku Linga Ocipango ca Suku'
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1.244965
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Tim: Boye, mpo na nini bato balobaka ete bondimelaka Yesu te?
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Tim: Oco hẽ, momo lie omanu va popela okuti ene ka vu tava ku Yesu?
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1.244936
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Sanza soki moko elekaki banda bakɔtaki na esobe ya Sinai, bilei oyo bazalaki na yango etikalaki moke.
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Pa pitile ale osãi yimosi tunde eci ovo va iñila Vekalasoko lio Sinai, kuenda okulia kuavo kua kala oku pua.
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1.244878
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Kende na Damasi, mpe bakoyebisa yo makambo oyo osengeli kosala.'
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Iñila vo Damasko kuenje o ka lilongisa eci o sukila oku linga.'
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1.244868
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Michelle: Yango mpe ezalaki ntembe moko monene.
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Michelle: Eci ca kalavo ocitangi cimue cinene.
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1.244864
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Tii lelo, ndenge oyo Nzambe atalelaka bitumba ebongwani te.
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Toke cilo ocisimĩlo ca Suku catiamẽla kuyaki ka ca pongolokele.
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1.244842
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Kasi, oyebi ete na mokili mobimba, tozalaka mpe na programɛ ya koyekola na bato Biblia?
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Pole, ove wa kũlĩhavo okuti etu tu kuete esokiyo lioku longisa omanu Embimbiliya koluali luosi?
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1.244688
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Yango wana, tokoki koloba lokola ntoma Paulo ete: "Yehova azali mosungi na ngai; nakobanga te.
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Eli olio esunga lieci tu popela ndeci Paulu a popia hati: "Yehova oñuatisi yange; si kuata usumba.
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1.244641
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(Ebandeli 41:45) Ntango bamonaki ye, bayebaki nde ete ezalaki Yozefe?
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(Efetikilo 41:45) Eci ovo vo mola, va limbuka hẽ okuti eye Yosefe?
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1.244633
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Osí okɔti liyangani ya etúká ya mbula oyo?
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Wa endele ale kohongele yofeka yunyamo ulo?
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1.244525
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Yobo ná mwasi na ye babotaki lisusu bana zomi
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Yovi kumue lukãi waye va cita vali ekũi komãla
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1.244516
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Bato soki milio misato; elingi koloba ekólo mobimba balongwaki na boombo na Ezipito.
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Ovanhu omamiliyona atatu lwaapo, oshiwana ashishe, ova li va mangululwa moupika waEgipti.
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1.244498
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Alekisaki ntango elongo na ndeko yango ya mokóló mpe ayokaki ye mpenza na likebi ntango azali koloba.
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Oha kala efimbo lihapu pamwe nomumwatate omunamido nokupwilikina kuye nelitulemo eshi ta popi.
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1.244497
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Maria aponi likambo ya malamu, pe bakobotola ye yango té."
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Pole, Maria wa nõlapo eci ca velapo kuenda ka cu upiwa."
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in Data Studio
Lingala-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: Lingala-Umbundu_Sentence-Pairs
- Number of Rows: 86575
- Number of Columns: 3
- Columns: score, Lingala, 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).Lingala: 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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