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
⌀ | Afrikaans
stringlengths 4
500
⌀ | Zulu
stringlengths 5
500
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1.247617
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So sal ons, ek en u volk, 'onderskeie' (APART) wees van elke volk wat op die aarde is.
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Ngakho sizakwehlukaniswa ae , mina labantu bakho, kubo bonke abantu abasebusweni bomhlaba.
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1.245008
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"You will die like (mere) men."
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Kanti nokho niyakufa njengabantu nje, niwe njengesinye sezikhulu.
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1.243726
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6 Oktober, Daar is iemand in jou huis:
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Okthoba 6, Kunomuntu ngaphakathi kwendlu yakho:
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1.238949
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Den Meinstroom nadert, en gereed is op te daagen,
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wabe wasondela, futhi waba close,
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1.236322
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Entre en Settings (Ajustes).
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bakhahlele emasangweni amalungisa.
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1.235237
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Kyk waarom ek ook getroud is (2012)
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Buka ukuthi kungani ngishada (2012)
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1.234865
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God is barmhartig oor wie Hy wil en verhard wie Hy wil (vers 18).
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Kodwa Allah siyinisele Isihe kulabo Akhe worshipers bani He enyula.
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1.234827
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Hier is drie dinge wat ek kan doen (en jy kan ook!):
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Nazi izinto ezi-3 engingazenza (futhi nawe ungazenza!):
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1.234501
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Ons is voorwaar bly en dankbaar julle het dit geniet!
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Sikhothama kuwe sibonga wena (We bow to you in thankfulness)
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1.23337
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Jy sal nie teleurgesteld wees nie, Tony!
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Ngeke udumazeke, Tony!
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1.233328
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Lof behoort aan Allah, wat gestuur die Boek
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Praise kungokwalabo Allah okuthumele phansi Book
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1.233119
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Het u 'n klein onderneming? - Bel my, ek kan jou help!
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Ingabe unayo ibhizinisi elincane? - Ungibize ngingakusiza!
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1.233025
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Want ons is lief vir wat Google doen.
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Ngoba sithanda lokho i-Google eyenzayo.
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1.231955
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2, Ons maatskappy kan produseer Max.
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2, wethu Inkampani Can Ukhiqiza Max.
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1.231747
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Carmen, waar kan ek vir jou skryf?
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Carmen, ngingakubhalela kuphi?
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1.231661
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Theo: Ons weet iets van sy wortels.
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Theo: Siyazi okuthile mayelana nezimpande zakhe.
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1.2315
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Familievriend ... Jimmy ... gesterf vanmiddag
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Umngane womkhaya ... Jimmy ... wafa namhlanje ntambama
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1.231066
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Daar is geen opleiding vandag nie, Henrikh.
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Akukho ukuqeqesha namuhla, uHenrikh.
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1.230801
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En ons sal Josef se geloof en die voorbeeld van sy barmhartige Vader, Jehovah, navolg.
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Siyolingisa nokholo lukaJosefa kanye nesibonelo sikaYise onesihe, uJehova.
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1.229552
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"Stop ma! ... wat doen jy so met jou mond? ...
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"Misa uMama! ... wenzani ngomlomo wakho kanjalo? ...
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1.229439
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Ek was maar net tien jaar oud." - Elisa.
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Ngangineminyaka eyishumi nje kuphela." - U-Elisa.
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1.228697
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Ek benodig 25 of 50 google speelkaart
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Ngidinga i-25 noma i-50 google play card
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1.228105
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Ek het baie gepraat oor Hitler.
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Ngakhuluma okuningi ngoHitler.
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1.227324
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Maart 2013 _ Hoe om 'n goeie vader te wees
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Mashi 2013 _ Indlela Yokuba Ubaba Omuhle
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1.227242
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Los Angeles: Ons kon Los Angeles nie vergeet nie.
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Los Angeles: Asikwazanga ukukhohlwa iLos Angeles.
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1.227117
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Dankie Douglas, ek gebruik dit vir my huidige werk.
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Ngiyabonga uDouglas, ngiyisebenzisela umsebenzi wami wamanje.
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1.226914
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Verlede week ná die gebeure in Ferguson (and the responses to it on social...
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Ngesonto eledlule ngemuva izenzakalo Ferguson (and the responses to it on social...
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1.226903
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Jy kan formule 1 volg op Twitter.
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Ungakwazi ukulandela formula 1 on Twitter.
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1.226357
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Ek het 16 boeke gepubliseer!).
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Engiye eshicilelwe izincwadi 16!).
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1.224887
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Onthou dat God Asa versterk en gehelp het, en Hy sal jou versterk.
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Khumbula ukuthi uNkulunkulu waqinisa futhi wasiza u-Asa, ngakho nawe uzokuqinisa.
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1.224224
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22 Wat was fout met die man?
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22 Kwakonakelephi kule ndoda?
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1.223695
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Doug, hoop dat jou dogter beter voel!
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UDoug, ngethemba ukuthi indodakazi yakho izizwa ingcono!
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1.223339
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Ek weet dat ek daardie dag regtig hard gewerk het." - Nick.
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Ngiyakwazi ukuthi ngiyabe ngisebenzile sibili lelolanga." - UNick.
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1.223156
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Baie dankie vir weer help Tonny0909!
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Ngibonga kakhulu ngokusiza futhi Tonny0909 wena!
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1.222764
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Wie sal dus koop? 34 Istanbul
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Ngakho-ke Ngubani Ozothenga? 34 Istanbul
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1.222699
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14 "Mense kan hulle eie probleme oplos."
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14 "Abantu bangazilungisa izinkinga zabo."
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1.222551
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Van alle mense, en Sabrina weet wat om te doen!
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Kubo bonke abantu, futhi Sabrina ukwazi ukuthi kumele wenzeni!
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1.222004
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Ek het dit in Februarie 2020 gekoop om vir skoolprojekte te gebruik.
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Ngikuthengile lokhu ngoFebhuwari ka-2020 ukuze ngikusebenzise kumaphrojekthi esikole.
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1.221836
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Kyk waarom ek ook getroud is (2012)
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Buka ukuthi kungani ngishade naye (2012)
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1.221273
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Ek het baie geleer ... oor die Britse kultuur.
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Ngifunde okuningi ... ngesiko laseBrithani.
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1.221062
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Ek is baie gelukkiger." - Karen.
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Lami sengithokoza kakhulu."? - UKaren.
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1.219867
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Ons was baie bly toe ons uitvind watter soort God hy is."
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Sajabula kakhulu lapho sithola ukuthi uluhlobo luni lukaNkulunkulu."
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1.219495
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"Die Uur is naby, en die maan is verdeel (twee).
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I-Qur'aan eNgcwele ikubeka kanje: "Ihora (loKwahlulela) liyasondela, nenyanga ihlukaniswa kabili.
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1.218002
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[adverb in a question] Kan ons saam Duits leer?
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[adverbe dans une question] singakwazi ukufunda isijalimani ndawonye?
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1.217368
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18 Mei 2019 Ons is seker dat 'n goeie worksh ...
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Meyi 18, 2019 Siyaqiniseka ukuthi worksh ezinhle ...
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1.217319
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Hoe het die gesalfdes getoon dat hulle vandag "'n volk vir [Jehovah se] naam" is?
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Abagcotshiweyo bazibonakalise kanjani ukuthi 'bayisizwe segama likaJehova' namuhla?
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1.217166
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Dan maak hulle baie skuld in jou naam!
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Ngemva kwalokho adala ezinkulu izikweletu ngegama lakho!
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1.216808
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Ek vind dat ek dieselfde moet doen, Douglas.
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Ngizithola kufanele ngenze into efanayo, uDouglas.
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1.216097
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Watter ander lesse kan ek uit hierdie goed voorbereide gebed leer?' - Ps.
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Iziphi ezinye izifundo engingazifunda kulo mthandazo olungiselelwe kahle?' - IHu.
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1.215552
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Weet jy wat die meeste van hulle wou doen toe hulle hom sien aankom? - Hulle wou hom doodmaak!
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Ingabe uyazi ukuthi abaningi kubo babefuna ukwenzani lapho bembona esondela? - Babefuna ukumbulala!
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1.215535
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Jy moet stil bly en leer oor Napoleon! ."
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Udinga ukuhlala uhlale futhi ufunde nge-Napoleon! ."
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1.215031
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Glo dit of nie, ons het die hele idee gistermiddag gedroom.
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Kholwa noma cha, siphuphe wonke umqondo izolo ntambama.
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1.214939
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Hoe was die kaart wêreld in 1922
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Yayinjani ibalazwe lomhlaba ngo 1922
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1.214063
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Waarvoor u ook al besluit, moenie met 1g begin nie.
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Noma ngabe unquma ukuyifunela ini, ungaqali ku-1g.
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1.213409
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Wel, ons weet beslis dat verbruikers vasgevang is in die idee, Marty!
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Yebo siyazi ukuthi abathengi babhajwe kulowo mqondo, iMarty!
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1.213324
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In Mei het ek 'n paar dollar verdien.
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NgoMeyi, ngenza amadola ambalwa.
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1.213309
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Hoe is God, sy Seun en alle ware aanbidders een?
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UNkulunkulu, iNdodana yakhe nabo bonke abakhulekeli beqiniso, bamunye ngayiphi indlela?
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1.21304
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Interessant - daar het ek geen probleme ondervind nie, Barry.
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Kuyathakazelisa - angibanga nezinkinga lapho, uBarry.
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1.212634
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Hulle sal u later daarvoor bedank ... miskien op Twitter.
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Bazokubonga ngakho ngokuhamba kwesikhathi... mhlawumbe ku-Twitter.
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1.212522
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Wat sal jy dan sê? - Wys vir hom 'n huis.
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Uyothini-ke lapho? - Mtshengise indlu.
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1.21249
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Ek het dit van baie bemarkers gehoor, Steven!
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Ngizwile lokho kubakhangisi abaningi, uSteven!
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1.212331
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"Maar hoekom, liewe meneer, is nie almal priesters &
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"Kodwa kungani, mnumzane othandekayo, akuzona bonke abapristi &
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1.212325
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Hoekom nie begin CS: GAAN?
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Kungani ungaqali CS: GO?
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1.212317
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Die da wil, die mag verfliegen,
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Reseo Masakan Onde - Onde Isi Ubi Ungu
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1.212081
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Jou eerste maand is op ons!
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Inyanga yakho yokuqala isiphezu kwethu!
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1.211684
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Miskien is dit die probleem, William.
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Mhlawumbe leyo yinkinga, uWilliam.
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1.211556
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Ons sal hier wees, Cisco!
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Sizobe silapha, iCisco!
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1.211423
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Hopper _ Kom ons werk in Japan.
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Hopper _ Masisebenze eJapane.
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1.211057
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Die sprak: 'U is van streek,
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Wathi: "Wena eneqe.
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1.210908
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re: twitter auto follow - ek gebruik dit nie en is ongeveer 2500 volgers.
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re: twitter auto follow - Angiyisebenzisi futhi nginabalandeli ababalelwa ku-2500.
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1.210622
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Kritieke dag in openbare vervoer met normalisering môre!
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Usuku Olubucayi Kwezokuthutha Komphakathi nge Normalization Kusasa!
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1.210424
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Die da wil, die mag verfliegen,
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kumuongola amene Ukumfuna,
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1.210168
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Dit het beide mans en vroue sedert toegelaat 2008.
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It usevumile kokubili amadoda nabesifazane kusukela 2008.
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1.210118
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(MD) Miskien kan ons almal ontmoet of kerk toe gaan saam!
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(MD) mhlawumbe sonke ungahlangana phezulu noma ukuya esontweni ndawonye!
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1.210111
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Gister was my familie en vriende daar en ek het weg. "
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Izolo umndeni wami nabangane babekhona futhi ngashiya. "
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1.209969
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Ongeag hoe oud ons is, ons wil gewoonlik nie sterf nie.
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Kungakhathaliseki ukuthi sibadala kangakanani, ngokuvamile asifuni ukufa.
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1.209638
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Dit het nooit gebeur nie." - Samuel, * Kenia.
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Lokho akuzange kwenzeke." - USamuel, * eKenya.
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1.209575
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'Ek is hier om my woord te hou, Blair.
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"Ngilapha ukuzogcina izwi lami, Blair.
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1.209252
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Maar hierdie ongeluk het nie die stad verbeter nie.
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Kodwa leyo ngozi ayilithuthukisanga idolobha.
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1.209165
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Sien Dunning (2012) vir meer voorbeelde.
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Bona Dunning (2012) ukuze uthole izibonelo ezengeziwe.
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1.208967
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Russiese akteurs: "Ek is nie bang nie"
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Abadlali baseRashiya: "Angisabi ukwesaba"
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1.208832
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"Die kamera was my geweer.
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"Ikhamera yayisibhamu sami.
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1.208814
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Dankie Harrison - jy is reg.
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Ngiyabonga Harrison - uqinisile.
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1.208734
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Hier is daar nie net een, maar 5 pragtige strande wag vir jou.
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Lapha akukho eyodwa nje, kodwa 5 amabhishi amahle elinde wena.
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1.208479
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'Ek sal hierdie lewe leef soos 'n werklose miljoenêr!'
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"Ngizophila le mpilo ngidlala ngathi ngusozigidi ongasebenzi!"
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1.208427
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Eendag sal ek wiskunde doen!
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Ngelinye ilanga ngizokwenza izibalo!
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1.208213
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Ek het ten minste 100 video's van vroue doen wat vir my.
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Enginakho amavidiyo okungenani 100 kwabesifazane ekwenzeni lokho kimi.
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1.208208
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[adverb in a question] Kan ons saam Duits leer?
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[adverb in a question] singakwazi ukufunda isijalimani ndawonye?
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1.208139
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Die grootste blom in die wêreld: jy sal verbaas wees!
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Imbali enkulu kunazo zonke emhlabeni: uzomangala!
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1.208125
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Is dit nie so dat die oorwinning van Allah is naby. "
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Akunjalo yini ukuthi kunqoba of Allah kuyintoeduze .
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1.208099
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Ek wil Philippe bedank vir die lekker les - 14 Maart 2016
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Ngithanda ukubonga uPhilippe ngesifundo esihle - Mashi 14, 2016
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1.207939
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Ek geniet dit al, hoewel meneer Godin my verras het.
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Sengiyakujabulela yize uMnu uGodin engimangele.
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1.207879
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Ek weet dat ek daardie dag regtig hard gewerk het." - Nick.
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Ngisuke ngazi ukuthi ngisebenze ngempela ngalolo suku." - UNick.
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1.207871
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Ek neem aan dat dit veilig is om te doen soos ek in FSX gedoen het?
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Ngicabanga ukuthi kuphephile ukwenza njengoba ngenzile ngaphakathi FSX?
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1.207622
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Ek onthou al my vriende en familie was op America Online (AOL).
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Ngikhumbula bonke abangane bami nomndeni wami babekwi-America Online (AOL).
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1.207393
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Ek het baie geleer ... oor die Britse kultuur.
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Ngafunda okuningi ... mayelana nesiko saseBrithani.
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1.207368
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'n God wat vergewe en straf (8)
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UNkulunkulu othethelelayo nojezisayo (8)
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1.207312
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- 'Ja, ek ontvang baie oproepe ... van vreemdelinge.'
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- 'Yebo, ngithola izingcingo eziningi ... ezivela kubantu abangabazi.'
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1.207204
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Ek kon Memphis sien wanneer ek wou.
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Ngangibona Memphis noma nini lapho ngifuna.
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1.207102
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"Maar hoekom, liewe meneer, is nie almal priesters &
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"Kungani, mnumzane othandekayo, akubona bonke abapristi &
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End of preview. Expand
in Data Studio
Afrikaans-Zulu_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: Afrikaans-Zulu_Sentence-Pairs
- Number of Rows: 1771310
- Number of Columns: 3
- Columns: score, Afrikaans, Zulu
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).Afrikaans: The first sentence in the pair (language 1).Zulu: 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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Size of downloaded dataset files:
267 MB
Size of the auto-converted Parquet files:
196 MB
Number of rows:
1,771,310