African-African Parallel Sentences
Collection
Collection of sentence pairs or parallel corpus across African Languages for machine translation.
•
703 items
•
Updated
Dataset Viewer
score
float32 1.04
1.25
| Kamba
stringlengths 10
500
| Kikuyu
stringlengths 10
475
|
|---|---|---|
1.249757 |
Nyie wa ukwee!
|
1Hĩ, kaĩ ndĩ mũnyamarĩku-ĩ!
|
1.249563 |
Yesũ nĩwatũtiĩe ngelekany'o nzeo mũno ũndũnĩ ũsu.
|
Jesu nĩ atũigĩire kĩonereria kĩega ũndũ-inĩ ũcio.
|
1.249328 |
Wendano wa ana-a-asa wĩthĩawa ũilyĩ ata?
|
(trg) ="39"> Kwendana ta ariũ a nyina ũmwe nĩ kuuga atĩa ?
|
1.249302 |
"Mũthũku ndakethĩwa . . .
|
'Ũrĩa mwaganu . . . ndagakorũo ho . . .
|
1.249208 |
Andũ nĩmethĩawa na vata wa kĩ-veva.
|
Andũ nĩ mabataraga ũteithio wa Ngai.
|
1.249133 |
Tũkasũvĩwa nũũ twakũa?'
|
Tũkahota atĩa kwĩrũmbũiya twakũra?
|
1.248704 |
Ũsumbĩnĩ wake, kana nthĩnĩ wa silikalĩ yake ya ĩtunĩ, andũ 'matikemanyĩsya kaũ ĩngĩ.'
|
Rungu rwa Ũthamaki wake, kana thirikari ya igũrũ-rĩ, andũ matigacoka kwĩruta kana "kwĩĩgithia mbaara rĩngĩ o na rĩ."
|
1.248678 |
Ngoki wa Makoki Nũũ? _ Kwĩmanyĩsya
|
Wa Thiong'o Ngugi Ng?g? wa Thiong?o
|
1.248582 |
Ũndũ Saenzi Ĩkũkonetye
|
Ũrĩa Sayansi Ĩhutagia Mũtũũrĩre Waku
|
1.248302 |
10 Na neew'a wasya mũnene kuma ĩtunĩ ũyasya:
|
10 Ngĩigua mũgambo mũnene igũrũ woiga:
|
1.248031 |
" Ũla ũtwĩe kw'o ndakasya, Nyie nĩ mũwau. " - Isaia 33:24.
|
"Mũndũ ũrĩa ũtũũraga bũrũri ũcio ndarĩ hingo agacoka kuuga ũũ: Ndĩ mũrũaru" - Isaia 33:24.
|
1.24803 |
Ũtonya kũsũngĩa ĩkũlyo yĩĩ ata?
|
Ũngĩcokia kĩũria kĩu atĩa?
|
1.247905 |
Ĩvinda yĩĩ maũndũ maalyũkĩte vyũ!
|
Heo lòi trĩ !
|
1.247904 |
Nĩ mũthĩnzĩo wĩva wa vata Yeova ũnengete kĩla ũmwe witũ?
|
Wĩyathi wa gwĩthuurĩra nĩ kĩĩ?
|
1.24766 |
16 Wĩa wa kũtavany'a waĩle kũtethw'a ĩvinda yĩana ata?
|
16 Wĩra wa kũhunjia ũngĩkaarutwo nginya rĩ?
|
1.24749 |
Ee Jahanawa Ae Mai
|
Jahan nahi jaana tha
|
1.247428 |
Satani ethĩawa va ũmũnthĩ?
|
Shaitani Aikaraga Kũ?
|
1.247227 |
Ĩthe wakwa aĩ Mũisilaamu na inyia wakwa aĩ wa ndĩni ya Ayuti.
|
(trg) ="8"> Baba aarĩ Mũithĩramu , na mami aarĩ Mũyahudi .
|
1.247135 |
W'o ũthasyo ũsu witũ wĩ mĩvaka?
|
Wĩyathi witũ nĩ ũrĩ mĩhaka?
|
1.246836 |
"Kwondũ wa Ala Manengetwe Ũla Wĩa"
|
"Arĩa Mehokeirũo Wĩra"
|
1.246635 |
ĨVINDA yĩmwe mũtũmwa Vaulo aisye ũũ: "Mũndũ mũthĩni ninyie!"
|
1Hĩ, kaĩ ndĩ mũnyamarĩku-ĩ!
|
1.246574 |
19. (a) Tũkeekaa ata ethĩwa nĩtũtũngaa mũvea kwondũ wa wovosyo?
|
19. (a) Ngatho citũ nĩ ũndũ wa ũkũũri ciagĩrĩire gũtũtindĩka gwĩka atĩa?
|
1.246277 |
Mũmbi witũ nĩwe woombie ĩtu na nthĩ, na anenga syũmbe syonthe thayũ.
|
o we Mũũmbi wa igũrũ na thĩ.
|
1.245528 |
10Na moona ĩla ndata, matana ũtanu mũnene mũno.
|
10Rĩrĩa moonire njata ĩyo, magĩkena gĩkeno kĩnene mũno.
|
1.245347 |
Nũũ ũla tũtonya kũmwĩta "mũtũi"?
|
"Hene Anyiwa" nĩarĩa ni kii?
|
1.245272 |
Ethĩwa nĩ w'o, nĩ ĩndĩĩ?
|
Angĩkorũo nĩguo-rĩ, nĩ rĩ?
|
1.245242 |
Ĩthe waku nakwa twĩkũmanthaa na kyeva.'
|
Niĩ na thoguo nĩ tũgũcarĩtie tũrĩ na kĩeha mũno."
|
1.245223 |
Mo mawĩmakĩo makathela?
|
Kwĩrĩo mĩthangĩko ĩkathira?
|
1.2451 |
Yĩla ũkũneena ũvũngũ, aneenaa kwosana na ũndũ we ũilye, nũndũ we nĩ mũkengani na ĩthe wa ũvũngũ.
|
Rĩrĩa ekũheenania, aaragia rũthiomi rwake, tondũ we nĩ mũheenania, na nĩwe ithe wa maheeni.
|
1.245051 |
Ithyonthe Nĩtwendaa Kũkiakiw'a
|
Ithuothe nĩ Tũbataraga Kũũmĩrĩrio
|
1.244895 |
"Vala ve Veva wa Mwĩaĩi [Yeova], nĩvo ve ũthasyo." - 2 AKO.
|
"Harĩa roho wa Jehova ũkoragwo, nĩ hakoragwo na wĩyathi." - 2 KOR.
|
1.24484 |
Yo akw'ũ nĩmethĩawa mesĩ maũndũ ala maendeee?
|
Hihi arĩa makuĩte nĩ mamenyaga maũndũ marĩa marekĩka?
|
1.244524 |
Mariamu e na mwana - ĩĩni,
|
Mariamu e na mwana - ĩĩ, nĩguo,
|
1.243814 |
Maĩ aselee mũno.
|
thutha mũno.
|
1.243667 |
Yesũ nĩwawetie myolooto ĩlĩ ya vata mũno.
|
Jesu nĩ aaririe ũhoro wa mawatho merĩ ma bata mũno.
|
1.243607 |
Nũũ ũla Ngai ũnyuvĩte atw'ĩke Mũsumbĩ wa Ũsumbĩ Wake, na ũu wathaniwe ata?
|
Nũũ ũthuurĩtwo nĩ Ngai atuĩke Mũthamaki wa Ũthamaki Wake, na ũndũ ũcio warathĩtwo atĩa?
|
1.243543 |
17#Yel 31.15.Nĩvo ĩndĩ weanĩiw'e ũla waneeniwe nĩ mwathani Yelemia, akyasya,
|
172:17 Math 1:22Hĩndĩ ĩyo ũhoro ũrĩa waarĩtio na kanua ka mũnabii Jeremia ũkĩhinga, rĩrĩa oigire atĩrĩ:
|
1.243506 |
Ndyendeeaw'a nĩ ndĩni ila ingĩ, na kwondũ wa ũu natw'a kana kũi Ngai.
|
(trg) ="37"> Ndiakenagio nĩ ndini iria ingĩ , na nĩ ũndũ ũcio ngĩtua atĩ gũtirĩ Ngai .
|
1.243489 |
We nũkwenda kwĩthĩwa ũmwe wa andũ asu?
|
Wee no wende gũkorũo ũrĩ ũmwe wao?
|
1.243463 |
10Yĩla moonie ndata ĩsu, nĩmatanie mũno na ũtanu mwingĩ.
|
10Rĩrĩa moonire njata ĩyo, magĩkena gĩkeno kĩnene mũno.
|
1.243151 |
10 O na ĩngĩ, wĩnyivyo no ũtũtetheesye 'tũkĩlye ũthũku vinya na ũseo.'
|
10 Wĩnyihia ningĩ no ũtũteithie 'gũtooragia ũũru na njĩra ya gwĩkaga wega.'
|
1.242953 |
Nĩwĩthĩwe kwakwa o ta ndeto syaku.'
|
Ndĩrogĩĩkwo o ta ũguo woiga."
|
1.242937 |
No nginya mũndũ akethĩwa e wa ndĩni?
|
Hihi no Mũhaka Mũndũ Akorũo Arĩ wa Ndini?
|
1.242879 |
Nĩvatonyeka ũkethĩwa wĩ na kĩmako nũndũ mũtwaano waku nũnaanangĩkie.
|
No gũkorũo ũkuĩte ngoro nĩ ũndũ wa kĩhiko kĩanyu kũharagana.
|
1.24237 |
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.
|
21#Luk 1.31.Nake nĩagaciara kahĩĩ, nako nĩũgagatua JESU, nĩ ũndũ nĩwe ũkahonokia andũ ake mehia-inĩ mao.
|
1.242187 |
Ĩndĩ Yesũ eeie amanyĩw'a make atĩĩ: "Nĩmwosete mana, nenganai mana."
|
Jesu eerire arutwo ake ũũ: "Mũheetwo tũhũ, heanagai tũhũ."
|
1.242062 |
Ngai o ũla waanisye ũkanga mũtune, o naku no aũtangĩĩe
|
1374:13 Thaam 14:21; Isa 51:9Wee-rĩ, nĩwe wagayanirie iria na ũhoti waku,
|
1.242055 |
Kwalilikana mwolooto ũla wĩ ĩandĩkonĩ ya Akalatia 6:5.
|
Ririkana ũtaaro ũrĩa ũkoragwo thĩinĩ wa Agalatia 6:5.
|
1.241938 |
Ĩngĩ nĩsyendaa kũtawa na kũkanw'a.
|
Ningĩ nĩ ibataraga kũrũngwo na kũrũithio.
|
1.241937 |
Yo tũkamona ĩngĩ?
|
Nĩ ũkamuona rĩngĩ hihi?
|
1.241638 |
Ũndũ ũla ũtonya kũtuma ũmũthengeea Ngai no kũmwĩkwatya, kana kũmũĩkĩĩa.
|
Womba kũthengeera Mũrungu, kethĩra akĩ ũkamwĩtĩkia na ũmwĩrĩgĩĩre.
|
1.241524 |
Mũndũ mũka wĩtawa Raquel aĩtye atĩĩ: "Naĩ na kĩmako kingĩ mũno vyũ ĩla natiiwe nĩ mũemewa myei 18 mĩvĩtu.
|
Raquel ataaragĩria ũũ: "Rĩrĩa mũthuri wakwa aandigire o rĩmwe mĩeri 18 mĩthiru, ndaiguire kĩeha kĩnene mũno.
|
1.241508 |
We Ngai nũsũngĩaa mboya syonthe?
|
Hihi Ngai Acokagia Mahoya Mothe?
|
1.241479 |
Ni songo ofha, ndi na inwi;
|
Ndũkamakio nĩo, kana na niĩ ngũmakie ũrĩ mbere yao.
|
1.241048 |
Kwoou, kethwa Atamu ndaaĩka naĩ, ndethwa aakw'a.
|
Korũo Adamu ndehirie-rĩ, ndangĩakuire.
|
1.241045 |
Mbivilia ndĩwetete kĩtumi.
|
Bibilia ndiugĩte.
|
1.240938 |
Nĩtũmũvoyaa Asa witũ wa ĩtunĩ kĩla mũthenya nĩ kana tũmũtũngĩe mũvea nũndũ wa kũtũtongoesya na kũtwenda?
|
Nĩ ngatho mũno na Ngai wa maithe maitũ aromũrathima,Na mũthiĩ na mbere gũtũcarĩria kĩrĩra kĩa ũndũire witũ.
|
1.240892 |
No tũnyuve kĩla tũkwenda kwĩka ĩndĩ tũte kũthing'ĩĩsya angĩ meke taitũ (Sisya kalungu ka 15)
|
No tũtue matua maitũ tũtegũtindĩkĩrĩria arĩa angĩ marũmĩrĩre thamiri citũ (Rora kĩbungo gĩa 15)
|
1.240854 |
Na ũsu nĩw'o waĩ mwambĩĩo wa mathĩna.
|
Maũndũ macio nĩ kĩambĩrĩria kĩa ruo ta rwa kũrũmwo.
|
1.24084 |
Matikathĩnĩa wĩa mana." - Isaia 65:21-23.
|
Matikaruta wĩra wa tũhũ." - Isaia 65:21-23.
|
1.240687 |
'Endai Mũkatw'ĩkĩthye Mbaĩ Syonthe Amanyĩw'a' - Mathayo 28:19 _ Kwĩmanyĩsya
|
"Thiĩi Mũgatue Andũ a Ndũrĩrĩ Ciothe Arutwo" - Mathayo 28:19 | Wĩruti
|
1.240635 |
17 Kwoou ũtonya kwasya naaũ ala vate nzika matavanasya ũla ũvoo mũseo wa Ũsumbĩ?
|
17 Kwoguo-rĩ, nĩa mahunjagia ũhoro ũrĩa mwega wa Ũthamaki ũmũthĩ?
|
1.240583 |
Nĩ kĩkundi kĩva kya andũ kĩtavasya "mbaĩ syonthe" ũvoo ũsu?
|
Hihi nĩ andũ arĩkũ mahunjagia ũhoro ũcio kũrĩ "ndũrĩrĩ ciothe"?
|
1.240577 |
Keka iiĩkĩĩaa ũu, syĩthĩwa syamanthie ndĩni ĩngĩ.
|
Korũo tiguo-rĩ, mangĩcaria ndini ĩngĩ.
|
1.240569 |
Yo Mbivilia no Ĩndetheesye Ethĩwa Nĩngw'ĩte Ngoo?
|
Hihi Bibilia no Ĩndeithie Ingĩkorũo Thuthĩkĩte Ngoro?
|
1.240397 |
Ngai e na kĩeleelo kyonanĩtye wendo kwa andũ.
|
Ngai arĩ na itanya rĩega mũno rĩa wendo harĩ andũ.
|
1.240376 |
Ũtonya Kũmanya Ũthaithi wa W'o Ata?
|
Ũngĩkũũrana Ũthathaiya wa ma Atĩa?
|
1.240324 |
Waakw'ĩĩwa nĩ mũndũ wendete?
|
Hihi nĩ ũrĩ wakuĩrũo nĩ mũndũ wendete?
|
1.240233 |
Mũmĩnũkĩlyo wa Ndĩni ya Ũvũngũ Wĩ Vakuvĩ!
|
Mũthia wa Ndini Ĩtarĩ ya Ma Ũrĩ Hakuhĩ!
|
1.240221 |
5 2016 _ Nĩ Va Ũtonya Kũkwata Ũkiakisyo?
|
5 2016 | Nũ Ũngĩkũũmĩrĩria?
|
1.240199 |
Asyai makwa nĩmendanĩte na kĩla ũmwe nĩwanengete ndaĩa mũĩkĩĩo wa ũla ũngĩ.
|
(trg) ="9"> Aciari akwa nĩ meendanĩte na o mũndũ nĩ aatĩĩte wĩtĩkio wa ũrĩa ũngĩ .
|
1.240183 |
Nũmenaa onthe ala mekaa naĩ."
|
andũ arĩa othe mekaga maũndũ mooru nĩũmathũire.
|
1.240174 |
"Nĩneew'aa nthoni mũno kũsyoka Nyũmbanĩ ya Ũsumbĩ.
|
"Nĩ ndaiguaga thoni mũno gũthiĩ nyũmba-inĩ ya Ũthamaki.
|
1.240002 |
Nĩ Kyaũ Kĩendeea Nyũmbanĩ ya Ũsumbĩ?
|
Nĩ Maũndũ Marĩkũ Mekagwo Nyũmba-inĩ ya Ũthamaki? | Video
|
1.239833 |
Ĩndĩ ve o maũndũ angĩ wovosyo wĩanĩasya.
|
No ũkũũri nĩ wahingirie ũndũ ũngĩ makĩria.
|
1.239684 |
4 Twĩ na mũĩkĩĩo wa mũthemba ũsu kwa Ngai kwĩsĩla Klĩsto.
|
4 Tũrĩ na ũũma wa mũthemba ũcio harĩ Ngai kũgerera Kristo.
|
1.239608 |
Wĩnyivyo ũtũtetheeasya ata twĩke motwi maseo?
|
Wĩnyihia ũngĩtũteithia atĩa gũtua matua mega?
|
1.239448 |
Tũtonya kwonany'a ata kana nĩtũũnenga ndaĩa motwi ma ala angĩ?
|
Tũngĩonania atĩa atĩ nĩ tũratĩa matua ma arĩa angĩ?
|
1.239298 |
Ĩndĩ mũlaĩka wa Ngai amwĩa: 'Ndũkakĩe kũtwaa Meli atw'ĩke mũka waku.
|
30Nowe mũraika ũcio akĩmwĩra atĩrĩ, "Mariamu tiga gwĩtigĩra, nĩgũkorwo nĩũkinyĩirwo nĩ wega wa Ngai.
|
1.239223 |
Mbivilia yaasyaa: "Ala alũngalu makatiĩwa nthĩ, na makatũa vo kũvika tene na tene." - Savuli 37:29.
|
Bibilia yugaga ũũ: "Arĩa athingu nĩo makagaya thĩ, na gũtũũra mamĩtũũre o nginya tene." - Thaburi 37:29.
|
1.239071 |
8 Kĩeleelo kya kũtethya wĩa wa kũtavany'a kyaĩle kwĩthĩwa kĩ kĩva?
|
8 Twagĩrĩirũo kũruta wĩra wa kũhunjia tũrĩ na muoroto ũrĩkũ?
|
1.239 |
Nĩkĩ Ngai Ũekete Ũthũku na Mathĩna Methĩwe Kw'o?
|
Ngai Etĩkĩrĩtie Maũndũ Moru na Mĩnyamaro Nĩkĩ?
|
1.238937 |
Ũtonya kũsũngĩa ĩkũlyo yĩu ata?
|
Ũngĩcokia kĩũria kĩu atĩa?
|
1.238868 |
Yesũ e kũũ nthĩ aĩ kĩvathũkany'o kĩva na Atamu?
|
Jesu aarĩ ngũrani atĩa na Adamu?
|
1.238782 |
Na endaa matũe vaa ĩvinda yĩana ata?
|
Na hihi eendaga matũũre gũkũ ihinda rĩigana atĩa?
|
1.238647 |
Kĩu kyandetheeisye nĩthĩwe nĩ mwĩwi.
|
nĩ ũndũ ũcio nĩndĩrĩgĩathĩkagĩra.
|
1.23852 |
Mbivilia Nĩyĩtĩkĩlasya Kũthasya Mũtwaano?
|
Hihi Bibilia nĩ Ĩtĩkĩrĩtie Ndigano?
|
1.238303 |
Shirley: Ĩĩ, nĩ na ndatĩka siana ũna.
|
Carly: No go ahead.
|
1.23811 |
Alaĩka nĩmendeeaw'a mũno nĩ ala mamũthũkũmaa Ngai.
|
Maũndũ macio nĩmo araika meriragĩria mũno kuona.
|
1.238032 |
Meli nĩwekalile na Elisavethi ta myei ĩtatũ, na ĩndĩ asyoka mũsyĩ Nasaleti.
|
56Nake Mariamu agĩikara na Elizabethi ta mĩeri ĩtatũ, agĩcooka akĩinũka kwao.
|
1.237983 |
We nũkwenda kwĩthĩwa ũmwe wa andũ asu?
|
Wenda kwĩthĩrwa ũrĩ ũmwe wao?
|
1.237934 |
Meew'aa me atũlĩku ngoo na maĩ na vata wa kũkiakiw'a na kwĩkĩwa vinya.
|
Marĩ ngoro magũire na wathima.
|
1.237853 |
twakuueni wakuua
|
twakueueni wakueua
|
1.237628 |
Mwolooto ũla wĩ ĩandĩkonĩ ya Akalatia 6:5 wĩtũmanyĩsya kyaũ?
|
Nĩ ũndũ ũrĩkũ tũreruta kuumana na ũtaaro ũrĩa ũrĩ thĩinĩ wa Agalatia 6:5?
|
1.237541 |
"Ala athũku makavetwa kuma ĩ nthĩ." - Nthimo 2:22.
|
"Andũ arĩa aaganu nĩ kũrindũrũo makarindũrũo bũrũri." - Thimo 2:22.
|
1.237439 |
'Endai Mũkatw'ĩkĩthye Mbaĩ Syonthe Amanyĩw'a'
|
"Thiĩi Mũgatue Andũ a Ndũrĩrĩ Ciothe Arutwo"
|
1.237434 |
Mosũngĩo ma makũlyo asu ũtonya kũmakwata va?
|
Wee ũngĩruta kũ macokio ma ciũria icio?
|
1.237318 |
Akakũtongoesya na kũkũsũvĩa,
|
Agaatuĩka wa gũtongoria nawe ũtuĩke wa kũrigia.
|
1.237161 |
(Yelemia 5:31) "Mũthenya ũsu nĩ aingĩ makambĩa, Mwĩaĩi, Mwĩaĩi, tũiaathana na syĩtwa yaku, na kumya ndaimoni na syĩtwa yaku, na kwĩka mavinya maingĩ na syĩtwa yaku?
|
227:22 Math 10:15; Atũm 19:13Mũthenya ũcio aingĩ makanjĩĩra atĩrĩ, 'Mwathani, Mwathani, githĩ tũtiarathaga maũndũ na rĩĩtwa rĩaku, na thĩinĩ wa rĩĩtwa rĩaku tũkaingata ndaimono na tũkaringa ciama nyingĩ?' 237:23 Thab 6:8; Luk 13:25-27Hĩndĩ ĩyo nĩngameera wega atĩrĩ, 'Niĩ ndirĩ hĩndĩ ndaamũũĩ o na rĩ.
|
1.237131 |
We nũtwaanĩte kana wĩ mũtwae?
|
Nĩ ũhikanĩtie? - (question to a man) Are you married?
|
End of preview. Expand
in Data Studio
Kamba-Kikuyu_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-Kikuyu_Sentence-Pairs
- Number of Rows: 18711
- Number of Columns: 3
- Columns: score, Kamba, Kikuyu
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).Kikuyu: 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
- Downloads last month
- 13
Size of downloaded dataset files:
2.25 MB
Size of the auto-converted Parquet files:
1.56 MB
Number of rows:
18,711