African-African Parallel Sentences
Collection
Collection of sentence pairs or parallel corpus across African Languages for machine translation. • 676 items • Updated
score float32 1.04 1.25 | Fon stringlengths 10 481 | Kamba stringlengths 8 403 |
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1.249987 | Mǐ nɔ lɛ́ ɖó alɔ ɖò sinsɛnzɔ́ ɔ mɛ hwɛhwɛ." | O na nĩtwatavanasya tũteũtĩĩa." |
1.249805 | "Nɔví nɔví lɛ ɖó gbè kpɔ́ ɔ, é nɔ nyɔ́, é nɔ víví mɛ nya!" - Ðɛh. | "Sisyai, ũndũ ũseo ũnenevete na ũndũ ũseũvĩte ana-a-asa mekalan'ya vamwe me ũmwe!" - SAV. |
1.249731 | Etɛ Hwɛɖɔtɔ́ lɛ 5:31 ka ɖexlɛ́ dó sɔgudo wu? | Ĩandĩko ya Asili 5:31 yonanĩtye ata ĩũlũ wa ĩvinda yĩla yũkĩte? |
1.249459 | Gbɛtɔ́ lɛ ɖò tó ɖó wɛ ɖò fí lɛ bǐ. | Kĩla vandũ meethĩaa andũ mekwenda kwĩthukĩĩsya. |
1.248901 | Wlǐ Yɛ̌yi nú Mɛ E É Jɛxa Ðɔ È Ni Wlí Na É | Manenge Ndaĩa Ala Maĩlĩte Kũnengwa Ndaĩa |
1.248849 | Azɔ̌gbɛ́ ce lɛ mɔ nukúnnú jɛ nǔ e wu un jló na bló huzuhuzu kpligidi mɔhun lɛ é wu ǎ. | Andũ ala twathũkũmaa ĩmwe mayamanyaa nĩkĩ ngwenda kwĩka moalyũku asu manenevete ũu. |
1.248369 | Mǐ ka na lɛ́ wá mɔ mɛvívɛ́ mǐtɔn e kú lɛ é gbè ɖokpo à? | Tũkamona ĩngĩ endwa maitũ ala makwie? |
1.24829 | Amɔ̌, nùɖé ɖɔ nú mì ɖɔ má ylɔ nyɔnu ɔ sín alokan." | Ĩndĩ ve kĩndũ kyanzukumie nĩkũnĩe kĩveti kya mũndũũme ũsu simũ." |
1.248128 | Ɛɛn, é hwe bǐ ɔ hwɛjijɔ atɔn ɖíe: | Ĩĩ, nũndũ wa itumi ta itatũ: |
1.247394 | Ðò hwenɛnu ɔ, mɛɖebǔ sɔ́ na ba nùɖuɖu kpò ǎ. | Ĩvinda yĩu vai mũndũ ũkakwatwa nĩ yũa. |
1.247367 | (Jaan 8:44, Biblu Wiwe lɔ - Gun Alada) É jló ɖɔ è ni sɛ̀n emi, loɔ, Mawu kɛɖɛ wɛ ka ɖó acɛ enɛ ɔ. | (Yoana 8:44) Nĩweethĩiwe na mea ma kwenda kũthaithwa o na kau Ngai e weka no we waĩle kũthaithwa. |
1.247367 | (Jaan 8:44, Biblu Wiwe lɔ - Gun Alada) É jló ɖɔ è ni sɛ̀n emi, loɔ, Mawu kɛɖɛ wɛ ka ɖó acɛ enɛ ɔ. | (Yoana 8:44) Nĩweethĩiwe na mea ma kwenda kũthaithwa o na kau Ngai e weka no we waĩle kũthaithwa. |
1.247344 | Mɔ Vogbingbɔn ɔ Ðò Gbɛtɔ́ lɛ Tɛntin | Vathũkany'a Katĩ wa Ala Mamũthũkũmaa Yeova na Ala Matamũthũkũmaa |
1.247335 | Gbɛtɔ́ lɛ ɖò fífá ba wɛ nukún myamya. | Kĩla andũ mekwenda mũno nĩ mũuo. |
1.247303 | Jlǒ ɖiɖó bá nɔ éɖokponɔ alǒ nɔ kpɔ́ xá mɛ klewun ɖé. | Kwĩw'a ayenda kwĩkala e weka kana e na andũ anini. |
1.247201 | Amɔ̌ dìn ɔ, ye nɔ mɔ ɖɔ emi cí xwédo ɖé ɖɔhun hugǎn, bɔ é nɔ víví nú mì." | Ĩndĩ yu nĩmonaa ta andũ ma mũsyĩ, na nĩ mũtanu." |
1.247201 | Mɛɖé lɛ sixu ɖɔ: "É byɔ ɖɔ tutoblonunu ɖé ni xlɛ́ ali mɛ ǎ. | Amwe no masũngĩe makasya: "Ti nginya wĩthĩwe ũseũvyonĩ mũna nĩ kana Ngai aũtongoesye. |
1.247129 | Mǐ ka na nɔ gbɛ̌ mɛ e yí wǎn nú Mawu lɛ tɔn mɛ à? | Tũkeethwa twĩ ngwatanĩo na ala mamwendete Ngai? |
1.247089 | "Un sixu ɖi nǔ e un sè é ǎ," wɛ é flín. | Doreen aĩtye atĩĩ: "Ndyaĩ nĩtonya kũĩkĩĩa kĩla nataviw'e. |
1.246953 | Nɛ̌ tutoblonunu ɔ ka nɔ zán akwɛ e è nɔ na égbé lɛ é gbɔn? | W'o ũseũvyo witũ ũtũmĩaa ata mĩvothi ĩla yumaw'a ũmũnthĩ? |
1.246892 | Peter jɛ huzuhuzu jí. | Peter nĩwambĩĩe kũalyũka. |
1.246844 | È jɔwu mì bɔ un wà sinsɛnzɔ́ hwebǐnu tɔn sín azɔ̌ nú xwè 23 e wá yì lɛ é. | O na nĩnĩthĩĩtwe ũthũkũminĩ wa ĩvinda yonthe kwa myaka 23 mĩvĩtu. |
1.246739 | Nɛ̌ mǐ ka sixu xlɛ́ ɖɔ mǐ ɖò alixlɛ́mɛ Mawu tɔn ba wɛ gbɔn? | Tũtonya kwonany'a ata kana nĩtũmwĩkwatĩtye Ngai atũtongoesye? |
1.246729 | "Hwetɛnu Mǐ ka Na Lɛ́ Bló Kpléɖókpɔ́ Ðevo?" | "Tũkeethĩwa na Ũmbano Ũngĩ Mũnene Ĩndĩĩ?" |
1.246632 | É na d'alɔ we bɔ a na wà nǔ e sɔgbe é. | Akaũtetheesya wĩke kĩla kyaĩle. |
1.246574 | È na ɖɔ ɔ, nùwanyido ɖé kpowun wɛ! | Ũndũ ũla Margaret weekie waĩ o ĩvĩtyo tũ! |
1.246549 | Vǐ lɛ emi, etɛ Mawu ka jló nú mi? | Syana, Ngai endaa mwĩthĩwe na kyaũ? |
1.246512 | A ka xà Atɔxwɛ e tɔ́n wá yì lɛ é à? | Nũsomete nesa makaseti ma Mũsyaĩĩsya ala mela kuma? |
1.246457 | Etɛwu mǐ ka sixu ɖɔ ɖɔ è bló tuto nú Izlayɛli-ví lɛ ganji? | Nĩkĩ tũtonya kwasya kana Aisilaeli nĩmavangĩtwe nesa? |
1.246066 | Biblu: Etɛwu É ka Sukpɔ́ Sɔmɔ̌? | Nĩkĩ kwĩ Mbivilia Mbingĩ? |
1.246063 | Xwè yɔywɛ ɖé jɛ nukɔn nú hwenu e è jì mì é wɛ. | Kĩu kyeekĩkie myaka kauta ndanamba kũsyawa. |
1.246016 | Ba Axɔsuɖuto ɔ, Ni Ma Nyí Nǔ lɛ Ó | Mantha Ũsumbĩ, ti Syĩndũ |
1.24596 | Kannumɔgbenu Gigosin: Ðò Hwexónu kpo Égbé Kpo | Kũthaw'a Kuma Ũkombonĩ Ĩvinda ya Tene na Ĩvinda Yĩĩ |
1.245897 | "Sinsɛnzɔ́wiwa ɖò fí e hudo sukpɔ́ ɖè é wɛ nyí gbeta e kɔn un wá ɖò gbɛzán ce mɛ b'ɛ nyɔ́ hú bǐ é!" | Kwĩtũma kĩsionĩ kĩ na vata mũnene wa atavany'a nĩ ũtwi ũmwe mũseo vyũ neekie!" |
1.245631 | Kancica mi mɛ wè lɛ tɔn ka sixu lɛ́vɔ syɛn d'eji lee é ko ɖè gbɔn ɖ'ayǐ é ɖɔhun à? | Ngwatanĩo yenyu no ĩendeee kwĩthĩwa yĩ ndũmu ta tene? |
1.245496 | Gbɛtɔ́ livi mɔkpan lɛ́ kpó ɖò azɔ̌ wà wɛ kannumɔ ɖɔhun | O nayu andũ milioni mbingĩ nĩmatũmĩawa ta ngombo |
1.244887 | Ðò Hemsworth, ɖò 1949, hwenu e mǐ wlí alɔ b'ɛ ɖó táan klewun ɖé gudo é | Vaa nĩ Hemsworth mwaka wa 1949 kaĩlĩ tũtwaanie |
1.244323 | È jɔwu mì bɔ un wà azɔ̌ ɖò finɛ nú xwè atɔn mɔ̌. | Nekalile vau myaka ta ĩtatũ. |
1.24419 | Alǒ nǔ ɖevo? | kana nĩ kĩndũ kĩngĩ? |
1.24419 | alǒ nǔ ɖevo? | kana nĩ kĩndũ kĩngĩ? |
1.243966 | Etɛwu ado ma ka ɖó na nɔ hu mǐ dó nǔ e sixu jɛ sɔgudo é wu ǎ? | Nĩkĩ tũyaĩlĩte kwĩmakĩa nũndũ wa kĩla kĩtonya kwĩkĩka ũnĩ? |
1.243425 | Jezu ɖɔ: "Mi na tunwun nugbǒ ɔ, bɔ nugbǒ ɔ ka na ɖè mi sín kannumɔgbenu." - Jaan 8:32. | Yesũ aisye: "Mũkamanya ũla w'o, na ũla w'o ũkamũthasya." - Yoana 8:32. |
1.243388 | "Mi tuùn azǎn e gbè Aklunɔ mitɔn na lɛkɔ wá dó é ǎ." - MAT. | Ameie atĩĩ: "Mũtyĩsĩ mũthenya ũla Mwĩaĩi wenyu wĩũka," na "saa ũla mũtataĩĩe nĩw'o wĩũka ũla Mwana wa mũndũ." |
1.242843 | Gbadanu enɛ ɔ, é xlɛ́ ali ɖagbe ɔ mì. | Mũthenya ũsu Mandy nĩwanengie ũtao mũseo. |
1.242709 | hɛn lè wá nú mǐɖesunɔ gbɔn? | kũtũtethya ithyĩ ene? |
1.242656 | Un kudeji ɖɔ nugbǒ ɔ kplɔ́n wɛ un ɖè. | Naĩ na mũĩkĩĩo kana neemanyĩasya ũla w'o. |
1.242589 | Ahwankɛkɛví lɛ kpo Axɔsugbakún ɖé kpo Nɔ Nya Xɛ Ðò Jǐ Towe | Makasya ma Kaũ na Ngovia ya Ũsumbĩ Nikũsũvĩaa |
1.242467 | Sín hwe enɛ nu ɔ, nɔ ce kpo nyì kpo jɛ alɔ ɖó ɖò sinsɛnzɔ́ ɔ mɛ ɖó kpɔ́ jí ɖò gbesisɔmɛ. | Kuma ĩvindanĩ yĩu, nĩ na Mami twaendaa ũtavany'a twĩ ĩmwe tũte kũtĩĩa. |
1.242438 | Xógbe enɛ lɛ nɔ vɛ́ nú mì kpɔ́n! | Ndeto isu syanũmĩasya mũno! |
1.242393 | 14 Kpɔ́n gbàví " Nɔ Kpɔ́n Dó Mɔ Towe!" | 14 Sisya ĩsandũkũ " Ũka Wĩyonee!" |
1.242387 | Jezu ɖu nǔ bo lɛ́ na mɛ ɖevo lɛ. | Kwa ngelekany'o, Yesũ nĩwatanĩaa kyaũya, na nĩwaĩthisye andũ angĩ. |
1.241821 | Amɔ̌, azǎn atɔn gudo ɔ, ye wá mɔ ɛ ɖò tɛmpli mɛ. | Ĩndĩ ĩtina wa mĩthenya ĩtatũ, mamwĩthĩa ĩkalũnĩ! |
1.241717 | É wá huzu mɛ titewungbe ɖé nú mì hú ɖ'ayǐ tɔn. | Oyu nĩ na ngwatanĩo nzeo vyũ nake kwĩ ĩla naĩ nayo tene. |
1.241717 | Nùnina towe lɛ nɔ nɔ gudo nú azɔ̌ e wà gbɔn gbɛ̀ ɔ bǐ mɛ wɛ mǐ ɖè é (Kpɔ́n akpáxwé 14-16) | Mĩvothi yaku nĩtetheeasya wĩa witũ nthĩ yonthe (Sisya kalungu ka 14-16) |
1.241664 | A ka ɖu vivǐ Atɔxwɛ yaɖeyaɖe e tɔ́n wá yì lɛ é xixa tɔn à? | Nũsomete nesa makaseti ma Mũsyaĩĩsya ala mela kuma? |
1.241599 | Ðɛhan 147gɔ́ ɔ flín mǐ hwɛjijɔ tobutobu e mǐ ɖó bɔ Gbɛɖotɔ́ ɔ sín nǔ na sù nukún mǐtɔn mɛ bɔ mǐ na lɛ́ dokú n'i é. | Savuli 147 nĩtũlilikanasya itumi mbingĩ sya kũmũtũngĩa mũmbi witũ mũvea. |
1.241331 | Un Jló Na Kú Ǎ! _ Lee Ðyɔvǐ E Ko Nyí Nɔ É ɖé Huzu Gbɛzán Tɔn Gbɔn É | Ndyendaa Kũkw'a! _ Ũndũ Mũndũ Mũka wa Mũika Waĩ na Syana Waalyũlile Mwĩkalĩle Wake |
1.241305 | Amɔ̌, xota enɛ tɔ́n dó Janmagbe mɛ ǎ. | Ĩndĩ kĩlungu kĩla kyaeleetye ũndũ ũsu kĩyaĩ vo ĩkasetinĩ ya kĩthyomo kya German. |
1.241031 | Mɛɖé lɛ nɔ dóhwɛ yeɖée ɖó walɔ xóxó yetɔn lɛ wu bo nɔ kanbyɔ yeɖée ɖɔ Mawu ka sɔ́ hwɛ kɛ emi dóó à jí. | Andũ amwe nĩmathĩnĩkaa mũno nũndũ wa naĩ meekie tene mayona Ngai ta ũtaaĩsa kũmaekea. |
1.240671 | Alɔdo tɔn mɛvo ɔ, un na kpó ɖò kannumɔ nyí wɛ. | Keka ndaandethya, nĩthĩwa nĩ o ũkombonĩ. |
1.240661 | Mǐ wà nǔ ɖagbe gègě ɖó kpɔ́ ɖò sinsɛnzɔ́ ɔ mɛ bɔ un nɔ flín. | Ndyaaũlwa nĩ mavinda maseo ala twatanĩie ĩmwe ũtavany'a. |
1.240573 | Tan Gbɛzán Tɔn: Un Sɔ́ Nyɛɖée Dó Bló "Nǔ Bǐ nú Mɛ Bǐ" _ Denton Hopkinson | Ngewa: Nĩtw'ĩkĩte "Maũndũ Onthe kwa Andũ Onthe" _ Denton Hopkinson |
1.240546 | Nǎ nǔɖúɖu égbé tɔn mǐ. | Ũtũnenge ũmũnthĩ mũkate witũ wa mĩthenya yonthe. |
1.240407 | Mɛ mɔ̌hun ɔ́, nǔɖókan kpó dɔkun kpó nɔ́ ɖo xwé tɔn gbe, é nɔ́ nyí hwɛjijɔnɔ tɛgbɛ ɖo Mawu nukɔn. | Ũthwii na syĩndũ syĩ nyũmbanĩ yake; na ũlũngalu wake nĩwĩkalaa tene na tene." |
1.240406 | France-nu wɛ nú tɔ́ ce bɔ nɔ ce nyí Italie-nu. | Ĩthe wakwa aumĩte nthĩ ya France na inyia wakwa nĩ wa Italy. |
1.240403 | É ka nyí mɔ̌ hǔn, nǔ e wu wɛ é ɖò wɛn. | Na ethĩwa vailyĩ ũu, no tũelewe nĩkĩ Lameki wendeeiw'e nĩ ũndũ Enoko waĩ na ũkũmbaũ. |
1.240319 | Nukúntíntɔ́nnɔ lɛ na mɔ nǔ, | Nĩmakona ũtheri, |
1.24011 | Kplɔ́n lee a sixu nɔ gbɛ̀ e mɛ adakaxixo hán ɖè é mɛ gbɔn é | Ĩmanyĩsye ũndũ ũtonya kwĩkala nthĩnĩ wa nthĩ ĩte na andũ ang'endu |
1.240107 | Amɔ̌, é nɔ gbeji nú Mawu tɔn kpo asú tɔn kpo. | Ĩndĩ nĩwaendeeie kwĩthĩwa e mũĩkĩĩku kwa Ngai na kwa mũũme wake. |
1.240102 | É lɛ́ ɖó hɛnnumɔ gègě ɖò finɛ. | O na andũ aingĩ ma mũsyĩ woo maĩ taoninĩ ĩsu. |
1.239715 | Amɔ̌, sun ɖokpo gudo ɔ, ye sè wɛn akpàkpà sɔ́ mɛ tɔn ɖé. | Ĩndĩ ĩtina wa mwei ũmwe nĩmakwatie ũvoo mũseo. |
1.239699 | Vlafo a mɔ nugbǒ ɔ dìn é ɔ, xwè ko jɛ. | No kwĩthĩwa wamanyie ũw'o ũla wĩ Mbivilianĩ kuma tene. |
1.239672 | Ðɔ nǔ taji e wu Mawu bló tuto alɔwliwli tɔn é ɖokpo. | Nĩ kyaũ kyaĩ kĩeleelo kĩnene kya mũtwaano? |
1.239579 | Mǐ ka na lɛ́vɔ wá mɔ mɛvívɛ́ mǐtɔn e kú lɛ é gbeɖé à? | Tũkamona ĩngĩ endwa maitũ ala makwie? |
1.239402 | To ɔ́ ká ná nyí mɛ e nɔ sɔ́ yěɖée hwe lɛ́ɛ tɔn, bɔ fífá ma ɖó dogbó e yě ná mɔ ɔ́ wɛ ná nyí nǔ e ná nɔ́ víví nú yě é. | Ĩndĩ ala auu makatiĩwa nthĩ, na makeetan'ya mũuonĩ mwingĩ." |
1.239303 | Awǎjijɛ ɖaxó wɛ é nyí ɖɔ un ba nɔví lɛ kpɔ́n ɖò tò 90 jɛji mɛ! | Tũtanĩĩte ta kĩ kũthokea ana-a-asa ma nthĩ mbee wa 90! |
1.2392 | Zaanɖé dìn ɔ, Jezu na vɔ́ nǔ e wezun sɔ́xátɔ́ atɔn ɖě lɛ tɔn hɛn gblé lɛ é blóɖó | Yesũ akilyĩ kũvetanga mathĩna ala maetetwe nĩ aũme ala angĩ atatũ makuĩtwe nĩ mbalasi |
1.239185 | È Tún Kàn nú Mi Gbɔn Fɛ́nú Gblamɛ | Twathaiw'e Nũndũ wa Mumo wa Ngai |
1.239069 | 3 NÙKANBYƆ: Etɛ ka nyí gbigbɔ mímɛ́? | 3 ĨKŨLYO: Veva mũtheu nĩ kyaũ? |
1.238884 | "Mi na . . . mɔ vogbingbɔn e ɖò hwɛjijɔnɔ lɛ kpodo mɛdídá lɛ kpo tɛntin é." - MAL. | 'Nĩvo ĩndĩ mũkavathũkany'a katĩ wa ala alũngalu na ala athũku.' - MAL. |
1.238871 | Etɛwu nùnywɛ xwitixwiti ma ka kpéwú bo na xósin nú nùkanbyɔ gègě ǎ? | Nĩkĩ andũ ma saenzi maemetwe nĩ kũsũngĩa makũlyo maingĩ? |
1.238836 | É jló bo na sɛ̀n Mawu kpo awǎjijɛ kpo, amɔ̌, é nɔ kanbyɔ éɖée ɖɔ aniwu emi ma ka ɖó awǎjijɛ à é jí. | Ĩvindanĩ yĩu aĩ na mea ma kũmũthũkũma Ngai na ũtanu ĩndĩ asaanĩaw'a nĩkĩ ũte na ũtanu ũsu. |
1.238835 | Un byɔ Mawu ɖɔ é ni na mì vivo kpo awǎjijɛ kpo nú xwè ɖokpo, amɔ̌, é na nǔ gègě mì hú mɔ̌! | Namũkũlilye Ngai anenge mwaka o ũmwe nĩthĩwe nĩ na mũuo na ũtanu, ĩndĩ nũnengete maũndũ maingĩ kwĩ ũndũ namwĩtisye! |
1.238831 | Hun e ɖi wɛ é ɖè é nɔte tlolo! | Akililye amĩkwata oou nthakame yake yatuma! |
1.238797 | "Ado hu mì azɔn nukɔntɔn e un xà nǔ dó sɔ́xátɔ́ ɛnɛ lɛ wu é. | "Ĩla nasomie kwa ĩvinda ya mbee ĩũlũ wa aũme asu ana makuĩtwe nĩ mbalasi, nĩnatelemile. |
1.238619 | wlɛnwín e ye nɔ zán lɛ é mɛ? | nzĩa ila itũmĩaa? |
1.23839 | 'Sɔ́ Nǔ Enɛ lɛ Dó Así nú Mɛ E Wu È Ðeji Dó lɛ É' | 'Maũndũ Asu Maie kwa Andũ Me na Kĩthito' |
1.238345 | Enyi mǐ na bo ɖó nukúnɖiɖo ɖebǔ ɔ, etɛwu Hlɔmanu lɛ wemata 8gɔ́ ɔ gbígbéjé kpɔ́n ka sixu hɛn lè wá nú mǐ? | O na twĩthĩwe twĩ na wĩkwatyo wĩva, nĩkĩ tũtonya kũtetheka twasũanĩa kĩlungu kya 8 kya ĩvuku ya Alomi? |
1.238071 | É wɛ nyí Xɔ́ntɔn ɖagbe hugǎn e a sixu zun é. | Nĩwe Mũnyanya ũla mũseo vyũ ũtonya kwĩthĩwa nake. |
1.237878 | Jozɛ́fu sín vǐ lɛ́ɛ bǐ wɛ ɖo akɔta we énɛ́ lɛ́ɛ mɛ. | Yosevu ti we e weka walianĩlwe nĩ nthĩ. |
1.237712 | Un ka bló tuto e jɛxa lɛ é bonu lanmɛ ce na nɔ ganji à? | Nĩnosete matambya ma kwĩsũvĩa ndikawae? |
1.237671 | Mɛxo lɛ jló ɖɔ a ni ɖu vivǐ agun towe yɔyɔ̌ ɔ tɔn, bo ɖò gbesisɔmɛ bo na d'alɔ we. | Atumĩa nĩmekwenda ũtanĩe kwĩkala kĩkundinĩ kyaku kyeũ, na nĩmeyũmbanĩtye kũũtetheesya. |
1.237646 | ^ [1] (akpáxwé 5gɔ́ ɔ) È ɖyɔ nyikɔ lɛ. | ^ [1] (kalungu ka 5) Masyĩtwa nĩ mavĩndũe. |
1.237546 | Mǐ ka na lɛ́ wá mɔ ɛ gbeɖé à?' | Yo tũkamona ĩngĩ? |
1.237508 | Un ka lin tamɛ dó lee ayǐ mɛ nɔ cí é kpo aca tò ɔ mɛ tɔn kpo wu à? | Nĩnĩsĩ nzeve ya kũu ĩilyĩ ata na syĩthĩo sya kũu iilyĩ ata? |
1.237489 | Un yí wǎn nú baseball hú nǔ bǐ! | Ndyaĩ Nĩkala Ndathaũkĩte Mũvĩla wa Baseball! |
1.237364 | Lee Mɛɖé Lɛ Nɔ Na Nùnina Dó Azɔ̌ E Wà Wɛ È Ðè Gbɔn Gbɛ̀ ɔ Bǐ Mɛ é Tamɛ Gbɔn é | Ũndũ Amwe Maumasya Mĩvothi Kwondũ Wa Wĩa Wa Nthĩ Yonthe |
1.237285 | TAN GBƐZÁN TƆN Mǐ Ðu Lè Fɛ́nú Mawu Tɔn Tɔn Ðò Ali Gègě Nu | LIFE STORY Nĩtwĩyoneete Maũndũnĩ Maingĩ Ũndũ Ngai wĩ Ũseo Ũtathimĩka |
1.237223 | Jezu ɖɔ: "A na yí wǎn nú nɔzo towe hwiɖesu ɖɔhun." | O nake Yesũ aisye: 'Mwende mũtũi waku o tondũ wĩyendete mwene.' |
1.237184 | Amɔ̌, mǐ ko kplɔ́n ɖɔ mɛ e ko kú lɛ é kún sixu d'alɔ mǐ alǒ hɛn nǔ gblé dó mǐ wu ó. | Ĩndĩ nĩtwĩmanyĩĩtye kana akw'ũ maitonya kũtũtethya na maitonya kũtũũmĩsya. |
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Fon-Kamba_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: Fon-Kamba_Sentence-Pairs
- Number of Rows: 35955
- Number of Columns: 3
- Columns: score, Fon, Kamba
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).Fon: The first sentence in the pair (language 1).Kamba: 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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