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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float32 1.04
1.25
| Kamba
stringlengths 10
467
| Tsonga
stringlengths 10
489
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1.249951 |
No Ũtate Ndũkasisye Mũvwanĩle wa Mũndũ?
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Naa Ni Nga Kona U Sa Sedza Mbonalo Ya Nga Nnḓa?
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1.249939 |
Alaĩka asu mate ewi masyoka ĩtunĩ, makwatie ũsilĩlo mwaũ?
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Musi vharuṅwa vha mashandukwa vha tshi humela ṱaḓulu, vho haṱulwa hani?
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1.249919 |
Maĩ na "mwĩkalĩle ũmwe naitũ."
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A va ri ni "mintlhaveko yo fana ni ya hina."
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1.24991 |
Ethĩwa nũtonyeka, kwa ngalĩ ĩla yenyu, mwĩthĩwe na mũuo na andũ onthe.
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Loko swi nga endleka, ni loko mi swi kota, tshamani hi ku tsakelana ni vanhu hinkwavo.
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1.249876 |
Nĩkĩ tũkũaa na kũkw'a?
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Ha Yini Hi Dyuhala Hi Tlhela Hi Fa?
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1.249841 |
Nĩndanaa mũno kũtũmĩa ĩvinda yingĩ vamwe na amũika kĩkundinĩ
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Ndzi rhandza ku heta nkarhi ni vantshwa va le vandlheni
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1.249617 |
O na nĩtwatanie kũmanya kana twĩĩthĩwa kĩlasi kĩmwe na Don Steele.
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Swi hi tsakisile ku tiva leswaku Don Steele na yena a ta va na hina eka tlilasi yoleyo.
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1.249556 |
Vaulo asyokie asya: "We mwene [Ngai] nĩwaisye, Ndikakũnyivĩa o na ata, na ndikakũtia o na ĩndĩĩ.
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Hikuva [Xikwembu] xi te: 'Ndzi nga ka ndzi nga ku tshiki naswona ndzi nga ka ndzi nga ku fularheli.'
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1.249545 |
Nũũ ũla tũtonya kũmwĩta "mũtũi"?
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I mani 'warikwerhu'?
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1.249543 |
Vaiĩ mũndũ ũtonya kwĩka ũu.
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Ku hava munhu loyi a nga endlaka sweswo.
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1.249446 |
Ĩndĩ Aklĩsto ala mbeenĩ mathaithaa mĩvw'anano ĩsu moonaa kũya nyama isu ne ũndũ ũmwe na kũthaitha.
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Naho zwo ralo, vhaṅwe vhe vha vha vha tshi gwadamela yeneyo midzimu ya zwifanyiso vho vhona u nga u ḽa yeneyo ṋama zwi ḓo nga u gwadamela midzimu.
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1.249416 |
Mantha Vala Tũmbanĩaa
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Ku Khathalela Tindhawu Ta Hina Ta Vugandzeri
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1.249383 |
Ĩkũlyo: Andũ aingĩ nĩmendaa kwĩthĩwa na ũima wa mwĩĩ.
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Xivutiso: Vanhu vo tala va lava ku va ni rihanyo lerinene.
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1.249363 |
Ameie kana akaumya thayũ wake kwondũ wa aatĩĩi make.
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U vule leswaku u ta nyikela vutomi bya yena hikwalaho ka valandzeri vakwe.
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1.249324 |
Ndĩni sya ũvũngũ iikaaelelũkya na kũaany'a andũ ĩngĩ nongi.
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Vhurereli ha mazwifhi a vhu tsha ḓo khelusa vhathu na u vha fhandekanya.
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1.2493 |
Na ĩndĩ atata kũsesenga Eva aimwonethya kana ti lasima amwĩw'e Ngai. Amũtavisye ndeto ii: "Ngai nĩwĩsĩ kana mũthenya ũla mũkaya waw'o, nĩvo mũkasalukw'a metho."
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O dovha a lingedza u ita uri Eva a si thetshelese Mudzimu, a ri: "Mudzimu a tshi ralo u ḓivha zwauri musi nó ḽa wone, maṱo aṋu a ḓo bonyolowa."
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1.249272 |
"Nũmanengae Vinya Ala Meũnyala"
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"Loyi A Karhaleke U N'wi Nyika Matimba"
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1.249116 |
Ngai nĩwamalũngilye mũũndanĩ wa Eteni, na ndaamanenga wĩkwatyo wa kwĩsa kũsyoka vo ĩngĩ.
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Mudzimu o vha pandela Edeni nahone vho vha vha si tsheena fulufhelo ḽa u dovha vha humela.
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1.249095 |
We wĩona ta kwĩthĩwa kũilyĩ ata takeka Ngai ndendete andũ?
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Vutomi a byi ta va njhani loko Xikwembu a xi nga va rhandzi vanhu?
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1.24908 |
O nake Claire, kuma France, aisye ũũ: "Twĩthĩwe twaĩ ma Denmark, France, Germany, kana Turkey, ithyonthe twailyĩ andũ ma mũsyĩ ũmwe.
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Claire wa le Furwa u ri: "Ku nga khathariseki leswaku u huma Denmark, Furwa, Jarimani kumbe eTurkey, hinkwerhu a hi ri ndyangu wun'we.
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1.249042 |
O na twĩthĩwe twĩ na ũkũũ wĩana ata kana ũmanyi wĩana ata, ithyonthe nĩtũvĩtasya.
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Roṱhe ri a khakha hu sa londwi miṅwaha yashu kana tshenzhelo ine ra vha nayo.
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1.24897 |
Ĩndĩ kwĩthĩwa nĩ mũĩkĩĩku nĩ kũtumaa nĩthĩwa na mũuo wa kĩlĩko.
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Kambe hikwalaho ko tshembeka, ndzi ni ku rhula ka mianakanyo.
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1.248958 |
Yu no Nĩtetheesye Andũ Ala Angĩ
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Na Mina Se Ndza Swi Kota Ku Pfuna Van'wana
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1.248953 |
Matukũ Aa Kũtwaana "Nthĩnĩ wa Mwĩaĩi" Nĩkũtonyeka? _ Kwĩmanyĩsya
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Ku Nghenela Vukati "eHosini Ntsena" - Xana Swa Ha Vuyerisa?
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1.248953 |
Matukũ Aa Kũtwaana "Nthĩnĩ wa Mwĩaĩi" Nĩkũtonyeka? _ Kwĩmanyĩsya
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Ku Nghenela Vukati "eHosini Ntsena" - Xana Swa Ha Vuyerisa?
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1.248873 |
Aisye: 'Ĩthe wenyu wa ĩtunĩ nĩwĩsĩ mwĩ na vata wa syĩndũ isu syonthe.'
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Yesu u te: "Tata wa n'wina wa le tilweni wa swi tiva leswaku ma swi lava swilo leswi hinkwaswo."
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1.24887 |
Nĩ na myaka 17.
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A ndzi ri ni malembe ya 17.
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1.248861 |
O na nĩmaandĩkĩe ovisi ũla wĩ Canada na ũla wĩ Ghana.
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Vho dovha vha ṅwalela davhi ḽa ngei Canada na ḽa ngei Ghana.
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1.248861 |
Nũndũ mũũme wakwa Jonathan nũmũkĩĩte Ngai, nĩtwĩthĩĩtwe na mũtwaano wĩ na ũtanu kwa myaka thanthatũ.
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Ndzi ni malembe ya tsevu ndzi tekane na Jonathan nuna wa mina la chavaka Xikwembu naswona hi tsakile.
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1.24883 |
Nĩwĩthĩwa waaĩkwa kĩko kya ũng'endu kana mũndũ wa mũsyĩ wenyu akethĩwa eekiwe ũndũ ta ũsu?
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Xana wena kumbe xirho xa wena xa ndyangu mi tshame mi hlaseriwa?
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1.248768 |
Nyie nĩw'aa nthoni mũno kũtavany'a ĩla nĩ maũndũnĩ makwa.
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Ndi a shona vhukuma musi ndi tshi fanela u huwelela lu songo dzudzanywaho.
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1.248729 |
13 Kũekea angĩ kwonanasya kana twĩ andũ mendete kũmantha mũuo.
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13 Loko hi rivalela van'wana hi kombisa leswaku hi lava ku kondletela ku rhula.
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1.248598 |
Vandũ va mayũa, kũkeethĩwa lĩu mwingĩ mũno.
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Ematshan'weni ya ndlala, ku ta va ni swakudya swo tala.
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1.248578 |
Naĩle kwĩka moalyũku maũndũnĩ meva?'
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Xana hi kwihi laha ndzi nga antswisaka kona?"
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1.248567 |
Blessing aĩtye atĩĩ: "Ũw'o nũthaasya mũndũ kwa nzĩa sya ũsengy'a."
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Blessing u ri: "Ntiyiso wu ku ntshunxa hi tindlela to hlamarisa swinene."
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1.248552 |
Kwoou nũkwona, vai ũndũ Ngai ũtatonya kwĩka.'
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hikuva a ku na xilo lexi hlulaka Xikwembu."
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1.248495 |
Ũthũku wambĩĩie ata?
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Vubihi byi sungule njhani?
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1.248467 |
Avalaamu na Loto maĩ na ndĩthya sya indo na no kwĩthĩwa aĩthi moo matetanĩasya kĩsesi kĩla maĩthasya.
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Abrahama na Loti va no gumesa vava ni zvifuyo zvo tala nguvhu laha ka kuza va nga ha gi kumi wutshamu ga ku zvi gisa kona.
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1.248454 |
O na nĩnathooie simũ wa kw'oko.
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Ndzi tlhele ndzi xava ni selfoni.
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1.24836 |
Ĩndĩ andũ ma mũsyĩ wa Leveka mendaa mekalange nake kwa ĩvinda ya mĩthenya ĩkũmi.
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Naho zwo ralo, muṱa wo vha u tshi ṱoḓa u dzula nae nyana maṅwe maḓuvha a fumi.
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1.248299 |
12 Ĩka ũkunĩkĩli.
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12 Endla ndzavisiso.
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1.248291 |
"Nake akatũmanyĩsya nzĩa syake, na tũkaendaa nzĩanĩ syake"
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"A ri funze nḓila dzawe, uri ri tshimbile kha gondo ḽawe"
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1.248188 |
Mwakanĩ wa 2008 nĩmathamĩĩe Ghana na matavany'a kw'o mbee wa myaka ĩtatũ.
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Nga 2008 vho pfulutshela Ghana nahone vha shuma miṅwaha i fhiraho miraru.
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1.248082 |
Nũndũ nĩ Ĩthe wakwa ũmbendete, endaa kũnzũvĩa ndikakwatwe nĩ maũndũ mathũku ala maumanaa na kwĩloela visa sya ũlaalai.
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Tanihi Tatana la nga ni rirhandzu a a lava ku ndzi sirhelela eka makhombo lama vangiwaka hi swifaniso swa timhaka ta masangu.
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1.24806 |
O na kau nĩtwamwendete mũno, ndyaaelewa kĩla kyatumie atoloka mũsyĩ.
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Ndo vha ndi sa pfesesi uri ndi ngani vho ri ṱutshela ngauri ro vha ri tshi vha funa vhukuma.
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1.24804 |
Twaĩ ndũũ mũno." - Karen, Northern Ireland.
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Hi ve vanghana lavakulu." - Karen wa le Ireland N'walungu.
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1.24804 |
Ninyw'ĩ mũnyuvĩtwe mũnyaĩĩkye ũvoo ĩũlũ wake.
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Ni vhaimeli vhayo vha khagala.
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1.248036 |
Nũũ Ũtongoeasya Andũ ma Ngai Ũmũnthĩ?
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I Mani Loyi A Kongomisaka Vanhu Va Xikwembu Namuntlha?
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1.247921 |
Matu meũ nĩ kyaũ?
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I yini matilo lamantshwa?
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1.247859 |
Mukikala nthini wakwa, na ndeto syakwa ikikala nthini wenyu, voyai ula
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Arali ni tshi dzula kha Nṋe, na dzula ni tshi elekanya maipfi anga, ni ḓo humbela tshine na funa na tshi ṋewa.
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1.247836 |
Kwĩ Alaĩka Athũku?
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Naa Hu Na Vharuṅwa Vhavhi?
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1.247757 |
Nĩ ũndũ mwaũ twaĩle kũmanya ĩũlũ wa ala 144,000?
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I yini leswi hi faneleke hi swi tsundzuka hi lava 144 000?
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1.247621 |
Andũ matwaanĩte makwatawa nĩ mathĩna meva?
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Hi yihi mintlhontlho leyi vatekani va langutanaka na yona?
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1.24762 |
Tũyoonaa Ngai e wa vata kwitũ.
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Mudzimu o vha e si tshithu kha riṋe.
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1.247562 |
Mwana-a-asa wĩtawa Gianni na ũngĩ wĩtawa Maurizio methĩĩtwe me ndũũ kwa ĩvinda ya myaka ta 50.
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Gianni na Maurizio va ve vanghana ku ringana malembe ya kwalomu ka 50.
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1.24754 |
Mwaka wa 1978, nĩnasyokie Los Angeles nĩ kana ngasũvĩe inyia wakwa nũndũ aĩ mũwau.
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Hi 1978, ndzi tlhelele eLos Angeles leswaku ndzi ya khathalela mana wa mina loyi a a vabya.
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1.247537 |
Ĩndĩ Arthur nĩweesĩ nde ũndũ ũngĩ wĩka.
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Kambe Arthur a swi tiva leswaku u fanele a famba.
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1.247536 |
17 Ndeto sya Meli.
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17 Mawulawulela ya Maria.
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1.247502 |
Nĩwĩthĩwa ũtũmĩaa simũ, kombiũta, kana Indaneti?
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Xana u tirhisa selfoni, khompyuta kumbe Internet?
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1.247438 |
No nginya tũmumbũlĩle naĩ sitũ.
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Hi fanele hi phofula swidyoho swa hina eka yena.
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1.247436 |
Ĩndĩ ũu ti w'o Aklĩsto maĩle kwĩka.
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Kambe yoleyo a hi ndlela ya Vukreste.
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1.247431 |
Naendeeie kwĩmanyĩsya Mbivilia vakuvĩ mwaka ũmwe.
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Ndo bvela phanḓa ndi tshi guda Bivhili lu ṱoḓaho u vha ṅwaha.
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1.247416 |
Ũndũ ũla mũnene vyũ, tũngaa mũvea nũndũ wĩ thayũ.
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Zwihuluhulu, livhuhani uri ni a tshila.
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1.247305 |
Kwoou no nginya methĩwe maĩ na malĩ.
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Handle ko kanakana a va fuwile.
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1.247292 |
Ngelekany'o ya Navothi ĩtũmanyĩasya ũndũ wa vata mũno (Sisya kalungu ka 11)
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Xikombiso xa Naboti xi hi dyondzisa dyondzo ya nkoka (Vona ndzimana 11)
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1.247257 |
Onany'a Wĩnyivyo o na Ĩla Weethĩa ti Laisi Kwĩka Ũu
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Ni Nga Dzula Ni Tshi Ḓiṱukufhadza Musi No Sedzana Na Mulingo
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1.247227 |
Andũ mavathũkene na nyamũ maũndũnĩ elĩ ma vata.
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Vanhu va hambanile ni swiharhi hi tindlela timbirhi ta nkoka.
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1.24722 |
Ethĩwa Mbivilia yaandĩkiwe nĩ andũ, kwa w'o no yĩtwe Ndeto ya Ngai?
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Arali yo ṅwalwa nga vhathu, ndi ngani i tshi nga vhidzwa Ipfi ḽa Mudzimu?
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1.247137 |
Ndaaeka kũendany'a na Ngai.
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U hambete a famba ni Xikwembu.
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1.247086 |
Indi Avalaamu asya, Me na Mose na athani; mamethukiisye mo.
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' Kambe Abrahama a hlamula: "Va na Muxe na va profeta, a va yingise vona.'
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1.247059 |
Kũtethya Wĩa Vamwe na Ngai Nĩkũetae Ũtanu _ Kwĩmanyĩsya
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U Shumisana Na Mudzimu Zwi Ḓisa Dakalo
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1.246955 |
'Kape na nande Ondjovo imwe inai wanifwa'
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"A Ri Wanga Ni Rito Rin'we"
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1.246782 |
Kyu kyatumie nĩeka kũthi kanisanĩ vyũ.
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Kutani ndzi tshike ku ya ekerekeni.
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1.246761 |
O na nĩ ũndũ ũtonyeka makendeew'a nĩ kũmũthaitha Ngai ũla tũthaithaa.
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Vha nga kha ḓi vha na dzangalelo kha Mudzimu ane ra mu gwadamela.
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1.246703 |
Nĩ nyamũ myaũ syĩkalaa vakuvĩ na mũsyĩ kwenyu?
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Hi swihi swifuwo leswi kumekaka ekusuhi ni le ka n'wina?
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1.246693 |
"[Ngai] nũtumaa makaũ mathela kũvika kĩtulu kya nthĩ."
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"[Xikwembu] xi herisa tinyimpi ku ya fika emakumu ya misava."
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1.246657 |
Kwaelesya ũndũ kweethĩiwe mũthenyanĩ wa kelĩ wa wũmbi.
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Ṱalusani zwe zwa itea nga ḓuvha ḽa vhuvhili ḽa tsiko.
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1.246593 |
Ethĩwa nĩwendaa ũu, ndũkalee kũneena na ũmwe wa Ngũsĩ sya Yeova.
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Loko swi ri tano, u nga kanakani ku vutisa un'wana wa Timbhoni ta Yehovha.
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1.246565 |
Nĩ maũndũ meva wĩsĩ ĩũlũ wa aũme aa?
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U tiva yini hi vavanuna lava?
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1.246506 |
Ee Jahanawa Ae Mai
|
Ya hele hele,
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1.246378 |
Ndeto isu iyaĩ nthĩnĩ wa maandĩko ma mbee ala maandĩkiwe nĩ aandĩki ma Mbivilia.
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Eneo maipfi o vha e siho kha maṅwalwa a u thoma.
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1.246377 |
We tyo wendeew'e nĩkwĩkala nthĩnĩ wa nyũmba yĩ vandũ vailyĩ ta vaa?
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Xana a wu nga ta swi tsakela ku tshama endlwini leyi nga endhawini yo fana ni leyi?
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1.246373 |
Ĩsomo ya 11: Ekeaa Kuma Ngoonĩ
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Dyondzo 11: Rivalela Hi Mbilu Hinkwayo
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1.246331 |
'Maũndũ Asu Maie kwa Andũ Me na Kĩthito'
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"Swilo Leswi Swi Nyike Vanhu Vo Tshembeka"
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1.246251 |
Ĩtina wa matukũ atatũ kweekĩkie o tondũ Yosevu waĩtye.
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Endzhaku ka masiku manharhu, marito ya Yosefa ma hetisekile.
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1.246207 |
Ethĩwa nũtonyeka, kwa ngalĩ ĩla yenyu, mwĩthĩwe na mũuo na andũ onthe.
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"Arali zwi tshi konadzea, zwi tshi ḓitika nga vhuimo haṋu, ivhani na mulalo na vhathu vhoṱhe.
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1.246169 |
Aisilaeli amwe moonanisye ata kana nĩmoonie kw'oko kwa Ngai?
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Vaisrayele van'wana va ma vone njhani matimba ya Xikwembu?
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1.246167 |
Nĩnĩtanĩaa kũmanyana na ala mooka sukulu kuma nthĩ syĩ kĩvathũkany'o
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Ndzi tiphina hi ku hlangana ni swichudeni swo tala leswi humaka emisaveni hinkwayo
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1.246105 |
We no ũmũekee?
|
Xana u ta n'wi rivalela?
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1.246054 |
Nĩngwatĩte valũa mbingĩ kuma kwa anyanyae amwe maitũ ma Ireland, Britain, o na Amelika.
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Ndzi kume mapapila yo huma eka vanghana va le Ireland, Britain ni le United States.
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1.246001 |
18 Tũtonya kwĩthiana ata tũkamanya ũndũ twendete motanu ma nthĩ?
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18 Hi nga tikambela njhani ku vona ndlela leyi hi yi rhandzaka ha yona mintsako?
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1.245989 |
Ĩthe wakwa athamĩĩie Australia aumĩte Germany mwaka wa 1949.
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Tata wa mina u suke eJarimani a rhurhela eAustralia hi 1949.
|
1.245969 |
Yaĩtye atĩĩ: "Na Yesũ, avatiswa, ambata oyu kuma manzĩnĩ: na sisya, matu mamũvingũkĩa, na oona Veva wa Ngai aitheea ta ĩvũĩ, na aimũvũĩla; na sisya, wasya wauma matunĩ, ũkyasya, Ũũ nĩwe Mwana wakwa mwendwa, ũla nendeeaw'a nĩwe."
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Nakambe, ku huma rito ematilweni, ri ku: 'Loyi i N'wananga, la rhandzekaka, loyi ndzi n'wi amukeleke.'"
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1.245946 |
Nake Antonio nĩwawaie na eewa no enũke.
|
Antonio u sungule ku vabya kutani a ntshunxiwa.
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1.245946 |
Mami nake amanyĩiw'e Mbivilia nĩ inyia, Emma Wagner.
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Mme anga vho gudiswa ngoho nga mme avho vhe vha vha vha tshi pfi Emma Wagner.
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1.245874 |
Kwa ĩsyĩtwa yĩngĩ yĩtawa Kyaũya kya Wĩoo kya Mwĩaĩi.
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Tshi dovha tsha vhidzwa Tshilalelo Tsha Murena.
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1.245854 |
Tũmĩaa Ũĩmĩ Waku Nesa
|
Ri Tirhise Kahle Ririmi Ra Wena
|
1.245847 |
21#Lk 1.31; 2.21; Meko 4.12.Nake akasyaa kavĩsĩ; naku ũkaketa syĩtwa yako YESŨ; nũndũ nĩwe ũkatangĩĩa andũ make kuma naĩnĩ syoo.
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ú ta veleka n'wana wa mufana, kutani wena u ta n'wi thya vito ra Yesu, hikuva hi yena loyi a nga ta ponisa tiko rakwe eswidyohweni swa rona."
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1.245832 |
We nĩwonaa wĩ ũndũ wĩ vinya kwĩka maũndũ maseo? - Andũ aingĩ monaa ũndũ ũsu wĩ vinya.
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Naa ni humbula uri zwi a konḓa u ita zwivhuya? - Vhathu vhanzhi vha humbula u nga zwi a konḓa.
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1.245818 |
Ali-Maketoni nĩw'o kaũ ũla ũkamina makaũ onthe
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Kamba-Tsonga_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: Kamba-Tsonga_Sentence-Pairs
- Number of Rows: 75284
- Number of Columns: 3
- Columns: score, Kamba, Tsonga
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).Kamba: The first sentence in the pair (language 1).Tsonga: 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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Number of rows:
75,284