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 | Kikuyu stringlengths 10 496 | Tsonga stringlengths 9 496 |
|---|---|---|
1.249848 | No nginya ũthiĩ kũrĩ mũndũ o wothe ngũgũtũma kũrĩ we na ũmwĩre ũrĩa wothe ngũgwatha. | Wo fanela u ya kha muṅwe na muṅwe ane nda u ruma khae, wa amba zwoṱhe zwe nda u vhudza. |
1.249835 | Nĩgũkorwo niĩ ndiokire gũcaria arĩa athingu, no ndokire nĩ ũndũ wa arĩa ehia." | Nṋe a tho ngo ḓela vhavhuya, ndo ḓela vhatshinyi." |
1.249769 | 41 Inyuĩ mũreka ciĩko cia ithe wanyu." | 41 Mi endla mintirho ya tata wa n'wina." |
1.249364 | Mũthenya wa ĩtatũ nĩwamũriũkirie; | U pfuxiwe eku feni hi siku ra vunharhu. |
1.249087 | "Atũmaga araika ake matuĩke huho, | U ḓo ruma vharuṅwa vhawe, |
1.248891 | Tũrĩ Akristiano nĩ ũndũ wa itũmi ici: | Hina hi Vakreste hikwalaho ka swivangelo leswi landzelaka: |
1.248769 | "Andũ akwa arĩa athure nĩmarĩkenagĩra wĩra wa moko mao ihinda iraya. | "Ntirho wa mavoko ya vona, vahlawuriwa va mina va ta wu tirhisa hi xitalo. |
1.248462 | Ngũkwĩra atĩ nĩũkuona maũndũ maingĩ manene kũrĩ macio!" | U ta vona swilo leswikulu ku tlula leswi." |
1.248431 | Nĩa Ngombo Ĩrĩa Ĩĩhokekete na Njũgĩ? | I Mani Hlonga Ro Tshembeka Ni Ro Tlhariha? |
1.248431 | Nĩa Ngombo Ĩrĩa Ĩĩhokekete na Njũgĩ? | I mani hlonga ro tshembeka ni ro tlhariha? |
1.248268 | 51:5 1Ath 3:9, 10; Thim 2:3-6 Na rĩrĩ, mũndũ wanyu angĩkorwo aagĩte ũũgĩ-rĩ, nĩahooe Ngai, ũrĩa ũheaga andũ othe na ũtaana, na atarĩ na ũũru ngoro, nake nĩekũheo ũũgĩ ũcio. | Hone arali hu na muṅwe waṋu a shayaho vhuṱali kha a humbele Mudzimu, u ḓo mu ṋea. |
1.24813 | 59:5 Joh 1:4Rĩrĩa ndĩ gũkũ thĩ, nĩ niĩ ũtheri wa thĩ." | 5 Loko ndza ha ri kona emisaveni, hi mina ku vonakala+ ka misava." |
1.248091 | Ũthamaki naguo ũkĩĩhaanda ũrũmĩte biũ moko-inĩ ma Solomoni. | Salomo o ita phetho ifhio nga ha vhane Mudzimu a vha dzhia sa vho bvelelaho vhutshiloni? |
1.247768 | na ngagũtongoria njĩra-inĩ iria nũngarũ. | ndzi ku fambisile etindleleni leto lulama. |
1.247697 | O nake mũtumia agĩrĩirũo nĩ gwĩka o ũguo. | Na yena nsati u fanele a endla hilaha ku fanaka. |
1.247679 | Ihoya rĩrĩ nĩ njĩra tu ya kũmenyithia Ngai wĩtĩkio waku thĩiniĩ wake na kũmũcokeria ngatho nĩtondũ wa gũkũhonokia. | Thabelo heyi i sumbedza fhedzi nḓila ya u sumbedza lutendo lune na vha nalwo kha Mudzimu na u mu livhuha nge a ni tshidza. |
1.247642 | Tigagai gwĩtigĩra, inyuĩ mũrĩ a bata gũkĩra tũnyoni tũingĩ. | Zwino-ha ni songo ofha tshithu; inwi ni fhira ṱhongola kule. |
1.247622 | nĩwe Ngai wakwa, ũrĩa ndĩĩhokete." | Oho Xikwembu xanga, ndzi tshemba wena." |
1.247293 | Hihi no ũririkane ũkĩgwa thĩ rĩrĩa warĩ mwana? | Xana wa ha tsundzuka loko u pfa u wa, loko wa ha ri ntsongo? |
1.247231 | 8We ti we warĩ ũtheri, no ookire nĩ geetha arute ũira igũrũ rĩa ũtheri ũcio. | A a nga ri yena ku vonakala, kambe a a rhumiwile leswaku a ta va mbhoni ya ku vonakala. |
1.247177 | Hihi Ũthamaki wa Ngai Ũrĩ Ngoro-inĩ ya Mũndũ? | Xana Mfumo Wa Xikwembu Wu Le Mbilwini Ya Wena? |
1.247112 | Ndendaga mũndũ o na ũmwe agaakua. | Ha ṱoḓi muthu naho e ufhio a tshi fa. |
1.247076 | Kĩrĩndĩ gĩkĩgega, gĩkiuga atĩrĩ, "Ũndũ ta ũyũ ndũrĩ woneka Isiraeli." | Vhathu vha kanuka vha ri, "A hu athu vhuya ha vhonwa zwi no nga hezwi kha ḽa Israele." |
1.247065 | Ithuĩ tũtiramenya ũrĩa aroiga." | A hi swi tivi leswi a vulavulaka ha swona." |
1.246633 | Hĩndĩ ĩyo nĩũkaheo gĩtĩĩo maitho-inĩ ma ageni arĩa angĩ othe. | Ndi hone ni tshi ḓo huliswa vhaeni vhoṱhe vha tshi zwi vhona. |
1.246545 | Na rĩĩrĩ, nĩgwokire mũndũ watũmĩĩtwo nĩ Ngai wetagwo Johana. | Ku humelele munhu la rhumiweke hi Xikwembu, vito ra yena a a ri Yohane. |
1.246344 | Baba arĩ o muoyo?" | Xana tatana wa ha hanya?' |
1.246144 | 15 Mũtikaae kwenda thĩ kana indo iria ikoragwo kuo. | 15 "Mi nga rhandzi misava kumbe swilo leswi nga emisaveni. |
1.246067 | Rũmia kĩrĩa ũrĩ nakĩo, nĩgeetha gũtikagĩe mũndũ ũkuoya thũmbĩ yaku. | Tamani mi khoma swi tiya leswi mi nga na swona, leswaku harhi ya n'wina yi nga tekiwi hi munhu.' |
1.245885 | 81:8 Isa 44:3Niĩ ndĩmũbatithagia na maaĩ, nowe arĩmũbatithagia na Roho Mũtheru." | Nṋe ndi lovhedza nga maḓi, fhedzi ene u ḓo ni lovhedza nga muya mukhethwa.' |
1.24578 | Maũndũ marĩa ma tene nĩ mathiru biũ." | "Swilo Swo Sungula Swi Hundzile" |
1.245769 | (trg) ="60"> Ngĩambĩrĩria gwĩtĩkia rĩngĩ atĩ nĩ kũrĩ Ngai . | Ndzi tlhele ndzi sungula ku pfumela eka Xikwembu. |
1.245443 | 14 # Joh 8:12 "Inyuĩ nĩ inyuĩ ũtheri wa thĩ. | "Inwi ni tshedza tsha shango. |
1.245334 | Hatirĩ o na ũmwe wao wagũtuĩra?" | Xana a nga kona loyi a ku gweveke?" |
1.245149 | Hatirĩ o na ũmwe wao wagũtuĩra?" | Xana a ku na un'we la ku avanyiseke xana?" |
1.24504 | na akĩũraga athamaki maarĩ hinya: | a vhulaha mahosi a maanḓa; |
1.245028 | "Hihi nĩ tũgũtobora mwaka witũ wa mbere thĩinĩ wa kĩhiko?" | "Xana swi nga hi fambela kahle eka lembe ra hina ro sungula ra vukati?" |
1.244961 | Ciugo iria ndamwarĩria nĩ roho na nĩcio muoyo. | Marito lawa ndzi mi byelaka wona, i moya ni vutomi. |
1.244927 | mahĩtithagia andũ akwa, | Ḓivhadza vhathu vhanga vhuvhi havho, |
1.244912 | Wĩrute ũhoro wa ũrathi ũcio wa kũgegania! | Gudani nga ha honovhu vhuporofita vhu nyanyulaho! |
1.244887 | Nĩ kwagĩrĩire tũrutagĩre Kaisari igooti, kana aca?" | Xana swa pfumeleriwa ku hakela xibalo xa nhloko eka Khezari kumbe e-e?"+ |
1.244837 | Jusufu akĩmooria atĩrĩ, "Githĩ ũtaũri ti wa Ngai? | Yosefa a ri kha vho, "Naa thalutshedzo ya a ibvi ha Mudzimu? |
1.244535 | Nĩ tũkwarĩrĩria ciũria ithatũ: Muoroto wa Ngai wĩgiĩ thĩ na andũ warĩ ũrĩkũ kuuma o kĩambĩrĩria-inĩ? | Kha ino thero, ri ḓo haseledza mbudziso tharu: Yo vha i ifhio ndivho ya Mudzimu ya mathomoni nga ha ḽifhasi na vhathu? |
1.244385 | 29Nake Jesũ akĩmacookeria atĩrĩ, "Inyuĩ mũhĩtĩtie tondũ mũtiũĩ Maandĩko o na kana hinya wa Ngai. | Yesu u va tshinye hi marito lawa: "Mi hoxisile, hikuva a mi ma tivi Matsalwa hambi ku ri matimba ya Xikwembu." |
1.244316 | Nĩ mawatho marĩkũ merĩ ma bata makĩria? | Hi swihi swileriso swimbirhi swa nkoka? |
1.2443 | 51:5 1Joh 3:11; 1Tim 6:16 Ĩno nĩyo ndũmĩrĩri ĩrĩa tũiguĩte kuuma kũrĩ we, na nĩyo tũramũmenyithia, atĩ: Ngai nĩ ũtheri; thĩinĩ wake gũtirĩ nduma o na hanini. | 5 Zwino-ha ndaedzo ye ra pfa ngae, ine zwino ra ni ḓivhadza yone ngei: Mudzimu ndi tshedza, khae a hu na swiswi na kathihi. |
1.24412 | Nũũ ũngĩtũũra kĩrĩma-inĩ gĩaku kĩrĩa kĩamũre? | I mani la nga ta tshama entshaveni ya wena yo kwetsima? |
1.244115 | Mũrũ wakwa Jusufu arĩ o muoyo. | Yosefa n'wananga wa ha hanya! |
1.244095 | 12Kenai na mũcanjamũke, tondũ kĩheo kĩanyu nĩ kĩnene igũrũ, nĩgũkorwo ũguo noguo maanyariirire anabii arĩa maarĩ kuo mbere yanyu. | Tsakani mi khana, hikuva hakelo ya n'wina i yikulu ematilweni; hikuva ni vaprofeta lava mi rhangeleke va xanisiwe tano." |
1.243672 | Hihi ndini ya ma no ĩmwe? | Xana ku ni vukhongeri byin'we ntsena bya ntiyiso? |
1.243449 | Ciiko cia Atumwo, ni mabuku mirongo iiri na rimwe ma marua. | O vha o vhalwa na vhaapostola vha fumi na muthihi." |
1.243316 | Ũndũ ũyũ mwĩkĩte nĩ ũndũ mũũru mũno.' " | Mi endle nchumu wo biha.'" |
1.243314 | Nĩtũgĩe na kĩrĩkanĩro nawe, na nĩngũgũteithia ngũrehere andũ a Isiraeli othe mwena waku." | Vhone nga vha vhofhe mulanga na nṋe, ndi hone ndi tshi ḓo ima navho, Vhaisraele vhoṱhe vha luvha vhone." |
1.243279 | 20O na inyuĩ ciana-rĩ, athĩkagĩrai aciari anyu maũndũ-inĩ mothe, nĩgũkorwo gwĩka ũguo nĩgũkenagia Mwathani. | 20 N'wina vana, yingisani+ vatswari va n'wina eka xin'wana ni xin'wana, hikuva leswi swa tsakisa swinene eHosini. |
1.24316 | Ndaimono no ĩhingũre maitho ma mũtumumu?" | Xana demona ri nga pfula mahlo ya lavo-fe-mahlo xana?" |
1.242894 | Wĩ mũciari-rĩ, nĩwe wĩ na kĩhooto gĩa kũiga mawatho. | Wena tanihi mutswari, u ni mfanelo ya ku veka milawu. |
1.242871 | Nĩtweiguĩra ũhoro kuuma kanua gake mwene." | Na hina hi swi twile swi huma enon'wini wa yena." |
1.24283 | Ũhoro Mwega Kuuma Kũrĩ Ngai | Loho U Dedoo U Ú Dugh Hen Aôndo La! |
1.24253 | ũgitagĩre wega, nĩgũkorwo nĩguo muoyo waku. | swi sirhelele, hikuva hi byona vutomi bya wena. |
1.242519 | O na Alana ũrĩa ũrĩ na mĩaka 17 oigaga o ũguo. | Alana, loyi a nga ni malembe ya 17 na yena u titwa hi ndlela leyi fanaka. |
1.242486 | Tigagai gwĩtigĩra, inyuĩ mũrĩ a bata gũkĩra tũnyoni tũingĩ. | Hikokwalaho mi nga chavi: Mi ni risima ku tlula swindzingiri swo tala." |
1.242486 | Tigagai gwĩtigĩra, inyuĩ mũrĩ a bata gũkĩra tũnyoni tũingĩ. | Hikokwalaho mi nga chavi: mi ni risima ku tlula swindzingiri swo tala." |
1.242479 | Jesu aaragia ũhoro wa Paradiso ĩyo ĩroka gũkũ thĩ rĩrĩa erĩire mwĩki-naĩ ũrĩa maakuire hamwe nake ũũ: "Nĩ ũgakorũo na niĩ Paradiso." | Yesu o vha a tshi khou ambela kha Paradiso ine ya khou ḓa kha ḽifhasi musi a tshi fulufhedzisa muitazwivhi we a fa tsini nae, a ri: "U ḓo vha na nṋe Paradisoni." |
1.242449 | " 'Mũndũ ndakanaheenie ũrĩa ũngĩ. | Mi nga hembelani. |
1.242418 | 25"Maũndũ maya mothe ndamwarĩria tũrĩ o na inyuĩ. | 25 "Loko ndza ha ri na n'wina ndzi mi byele swilo leswi. |
1.242403 | We mwene nĩwe woigire, "Niĩ nĩ niĩ kũriũka na nĩ niĩ muoyo. | Yesu o ri, "U vuwa na u vhutshilo ndi nṋe; a ntendaho u ḓo tshila naho a fa. |
1.242208 | mũtikaneke anabii akwa ũũru." | ni songo huvhadza vhaporofita vhanga." |
1.241967 | Mbarathi amĩikĩtie iria-inĩ, hamwe na mũmĩhaici." | U hoxe hanci ni mugadi wa yona elwandle." |
1.241943 | Nĩ ũngĩniina itũũra rĩu inene rĩothe nĩ ũndũ wa kwaga acio atano?" | U ḓo lozwa muḓi woṱhe nge ha ṱahela avho vhaṱanu naa?" |
1.241917 | Wĩhonokie, na ũtũhonokie!" | Tiponise swin'we na hina." |
1.241864 | Ũka ũtoonye gĩkeno-inĩ kĩa Mwathi waku!' | Nghena entsakweni wa n'wini wa wena." |
1.241864 | Ũka ũtoonye gĩkeno-inĩ kĩa mwathi waku!' | Nghena entsakweni wa n'wini wa wena." |
1.241799 | Menyagĩrĩra gwathĩkagĩra watho wothe ũrĩa ndungata yakwa Musa aagwathire wĩkage; ndũkanagarũrũke na mwena wa ũrĩo kana wa ũmotho ũũtige, nĩgeetha ũgĩĩage na ũhootani kũrĩa guothe ũrĩthiiaga. | Tiya mbilu, u tiya swinene, u hiseka ku endla hi nawu hinkwawo lowu Muxe, nandza wa mina a ku leriseke wona; u nga tshuki u hambuka eka wona exineneni, hambi ku ri eximatsini, leswaku u ta kateka eswilweni hinkwaswo leswi u nga ta swi sungula. |
1.241774 | Na ithuĩ nĩtũũĩ atĩ ũira wake nĩ wa ma. | Ha swi tiva leswaku vumbhoni bya yena byi tiyile. |
1.24175 | 5"Nĩ niĩ mũthabibũ, na inyuĩ mũrĩ honge. | 5 "Munḓirivhe ndi Nṋe, inwi ni matavhi. |
1.241608 | Wee No Wende Kũmenya Ma? | U Soo u Fan Mimi Kpa? |
1.241584 | 7Moigaga atĩrĩ, "Jehova ndangĩona; | A va ku: 'Yehovha a nga hi voni. |
1.241529 | Nĩ mũrĩ na mũrũ wa thoguo ũngĩ?' | Naa ni kha ḓi vha na vhaṅwe vhana vha vhatukana?' |
1.241348 | Na nĩ ngenaga mũno nĩ ũndũ nĩ ndekire ũguo!" | Ndo takala vhukuma nge nda ita nga u ralo!" |
1.241249 | Nĩngũkũhe ngoro ĩ na ũũgĩ na gũkũũrana, nĩguo gũtuĩke atĩ gũtirĩ kwagĩa mũndũ ũngĩ tawe, na gũtirĩ hĩndĩ gũkaagĩa ũngĩ tawe. | Kunene ndzi ta ku nyika mbilu yo tlhariha ni leyi twisisaka,+ lerova a ku vanga na munhu la fanaka na wena emahlweni ka wena, naswona endzhaku ka wena a ku nge vi na munhu la fanaka na wena.+ |
1.241069 | Na arĩ korũo nĩwaiguĩte maathani makwa! | Kunene loko a wu yingise swileriso swa mina! |
1.240958 | Agĩcoka akĩongerera ũũ: "Hingo ciothe niĩ njĩkaga o maũndũ marĩa mamũkenagia." | U tlhele a ku: "Nkarhi hinkwawo ndzi endla swilo leswi n'wi tsakisaka." |
1.240748 | Njĩĩrai irooto cianyu." | Ndzi byeleni milorho ya n'wina." |
1.24066 | "Inyuĩ andũ akwa, umai kũrĩ we, | "Humani Eka Yena, Vanhu Va Mina" |
1.240495 | Nĩ rĩ Jehova agatuĩka "maũndũ mothe harĩ andũ othe"? | Yehova u ḓo vha "zwithu zwoṱhe kha vhoṱhe" lini? |
1.24048 | nĩgũkorwo nĩakarĩhanĩria thakame ya ndungata ciake; | U ḓo lifhedza malofha a vhalanda vhawe, |
1.240327 | Ngĩthiĩ o handũ hothe. | A ndzi famba hinkwako. |
1.240293 | Inyuĩ mũtimũũĩ, 29no niĩ nĩndĩmũũĩ, tondũ nyumĩte kũrĩ we, na nĩwe wandũmire." | 29 Mina ndza n'wi tiva, hikuva ndzi huma eka yena, naswona hi yena la ndzi rhumeke." |
1.240267 | 23Mũndũ ũrĩa ũũthũũrĩte, nĩathũũire Baba o nake. | 23 Loyi a ndzi vengaka, ú venga na Tata wa mina. |
1.24009 | Na rĩĩrĩ, nĩgwokire mũndũ watũmĩĩtwo nĩ Ngai wetagwo Johana. | Ho vhuya ha vha na muṅwe munna a no pfi Johanisi ó rumiwa nga Mudzimu. |
1.240072 | O mũthenya ũrĩ na mathĩĩna maguo ma kũũigana. | Ḓuvha ḽiṅwe na ḽiṅwe ḽi na mbilaelo dzaḽo." |
1.239992 | 2Meciiria manyu nĩmeciiragie maũndũ marĩa ma igũrũ, no ti maũndũ marĩa ma thĩ ĩno. | 2Livhisani mbilu dzaṋu kha zwa ngei ṱaḓulu, hu si kha zwa fhano fhasi. |
1.239615 | Nĩ kaba mũndũ ũcio atangĩaciarirwo." | A swi ta antswa eka munhu loyi loko onge a nga velekiwanga." |
1.239571 | 41 Inyuĩ mũreka ciĩko cia ithe wanyu." | 41 N'wina mi endla mintirho ya tata wa n'wina." |
1.239124 | 13Andũ acio makĩhũndũka, magĩthiĩ makĩĩra arutwo arĩa angĩ; no-o nao makĩrega kũmetĩkia. | 13Ndi hone vhafunziwa avho vha tshi huma vha yo vhudza vhaṅwe, hone vhone vha si tende. |
1.238925 | 7Korwo nĩmũũmenyete kũna, no mũmenye Baba o nake. | 7 Zwino arali vhukuma Nṋe no vha ni tshi nnḓivha no vha ni tshi ḓo ḓivha na Khotsi anga. |
1.238806 | 21#Luk 1.31.Nake nĩagaciara kahĩĩ, nako nĩũgagatua JESU, nĩ ũndũ nĩwe ũkahonokia andũ ake mehia-inĩ mao. | 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." |
1.238771 | Na nĩndĩkoragwo na inyuĩ hĩndĩ ciothe kinyagia ithirĩro rĩa mahinda." | Ni humbule uri ndi na inwi misi yoṱhe u swika vhufheloni ha ano maitele a zwithu." |
1.238579 | "Thĩ njerũ" nĩ kĩĩ? | "Tar u he" la ka nyi? |
1.238554 | 1541:15 Dan 5:16Nake Firaũni akĩĩra Jusufu atĩrĩ, "Ndĩrarootire kĩroto na gũtirĩ mũndũ ũrahota gũgĩtaũra. | Ha hlaya: "Kutani Faro a ku eka Yosefa: 'Ndzi lorhe norho kambe ku hava la nga wu hlamuselaka. |
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Kikuyu-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: Kikuyu-Tsonga_Sentence-Pairs
- Number of Rows: 66196
- Number of Columns: 3
- Columns: score, Kikuyu, 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).Kikuyu: 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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