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
1.24
⌀ | Afrikaans
stringlengths 8
500
| Igbo
stringlengths 1
459
⌀ |
|---|---|---|
1.235874
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Hmmm ... is dit nie moontlik via sosiale media nie?
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Hmmm... nke ahụ agaghị ekwe omume site na mgbasa ozi mmekọrịta?
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1.229532
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Wag tot Bill dit kry!
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Chere ruo mgbe Bill ga-enweta nke ahụ!
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1.227948
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Ek is nou ongeveer 'n derde van die boek en geniet dit.
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Enwere m ihe dịka otu ụzọ n'ụzọ atọ nke akwụkwọ ugbu a ma na-anụ ụtọ ya.
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1.227408
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(Nog 'n keer het ek gehoor hoe twee Duitse dames praat oor my in Duits, maar hulle was nie dissing my ..........)
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(N'oge ọzọ, anụrụ m ka abụọ German ladies na-ekwu okwu banyere m na German, ma ha adịghị DISSING m ..........)
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1.2263
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Het u Google dieselfde vraag gevra?
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You jụrụ Google otu ajụjụ ahụ?
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1.224515
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Twitter is nie RSS!
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Twitter bụ ọ bụghị RSS!
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1.222882
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Geen Jaar kan 'n bed van rose wees.
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Ọ dịghị Year nwere ike ịbụ a bed nke Roses.
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1.221279
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Of was dit net tyd vir keiser Poetin?
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Ma ọ bụ, ọ bụ naanị Oge maka Emperor Putin?
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1.221198
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Ons sal hier wees, Cisco!
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Anyị ga-anọ ebe a, Cisco!
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1.219308
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Kyk na ons netwerk - hulle is hier om te help!
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Lelee netwọk anyị - ha nọ ebe a iji nyere aka!
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1.218781
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In ons gesprek, Scott
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Na mkparịta ụka anyị, Scott
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1.217031
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Maar ek sien waar Emma Adams vandaan kom ..
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Ma ana m ahụ ebe Emma Adams si abịa ..
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1.215921
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En dit is waar jy kom in, mnr Trump.
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Ma nke ahụ bụ ebe ị na-abata, Mr. trump.
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1.214995
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Hulle haat lang besprekings.
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Ha kpọrọ asị ogologo mkparịta ụka.
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1.214818
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Soos daardie dag is die see onderstebo,
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Ha ga na- aba mba n' elu ya n' ụbọchị ahụ dị ka mbigbọ oké osimiri .
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1.213752
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Nou het dit geword soos 'n tweede huis, ek hou daarvan om in Dubai te bly.
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Ugbu a ọ dịla ka ụlọ nke abụọ, ọ masịrị m ịnọrọ na Dubai.
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1.212402
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Lees dit van begin tot einde, high five tot Katie!
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Gụọ ya site na mmalite ruo na njedebe, dị elu ise nye Katie!
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1.212263
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van die waarheid en hulle sal wend tot fabels."
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"Ha ga-edegharị ya ma kwuo nke bụ eziokwu, ma rịọkwaa m mgbaghara."
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1.212191
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Vanuit die Lab42 Infographic, Soos ons!
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Site na Lab42 Infographic, Dị ka anyị!
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1.211505
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Ek weet baie min oor China.
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M maara nnọọ nta banyere China.
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1.208361
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Leef die lewe wat jy liefhet. - Bob Marley
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Bie ndụ ị hụrụ n'anya. - Bob Marley
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1.208271
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Ek is 'n man tussen 17 en 35 in Kanada.
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Abụ m nwoke n'etiti 17 na 35 na Canada.
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1.207628
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Jou vrou weet jy is hier.
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Nwunye gị maara na ị nọ ebe a.
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1.207331
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Oeps, ek het amper vergeet dat ek al getroud is!
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Oops, ọ fọrọ obere ka m chefuo na alụọla m nwaanyị!
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1.206964
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Wanneer Schultz in Januarie teruggekom het, het ek groot hoop gehad.
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Mgbe ole Schultz laghachiri na Jenụwarị, enwere m nnukwu olileanya.
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1.206692
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Maak seker dat u behoorlike ID bring indien u kwalifiseer.
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A ga-egosi akwụkwọ edemede, rịọ ma ọ bụrụ na ị kwenyere n'eziokwu.
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1.206679
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Jy het pas my dag gemaak, Christina!
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Just mere ụbọchị m, Christina!
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1.205686
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En môre vroeg as die sterre groet,
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Mgbe kpakpando ụtụtụ tikọrọ mkpu ọṅụ ọnụ ,
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1.205576
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En (ook omdat) Allah geopenbaar die Boek (Al-Qur-an) en wysheid (die Sunnah) aan julle en julle geleer wat jy nie geken het nie. .
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Allah zitere ala gị n'Akwụkwọ na amamihe na Ọ kụziiri gị ihe ị na-amaghị.
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1.202632
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Die van de farao en Thamoed?
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85:18 nke Fero na nke Thamood ?
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1.202187
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Familievriend ... Jimmy ... gesterf vanmiddag
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Family enyi ... Jimmy ... nwụrụ a n'ehihie
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1.202149
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Twitter.com is slegs ongeveer 18% van alle Twitter-verkeer.
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Twitter.com bụ naanị ihe dịka 18% nke okporo ụzọ Twitter niile.
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1.202067
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Dit is nie ... so werk Google!
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Ọ bụghị... nke ahụ bụ etu Google si arụ ọrụ!
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1.201785
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Adobe, ek bel u op 16 Julie 2018.
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Adobe, Aga m akpọ gị July 16, 2018.
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1.201774
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'Vandag het ons 17 huise skoongemaak, maar YET het nooit ons huis verlaat nie!'
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"Taa, anyị sachara ụlọ 17, YET ahapụghị ụlọ anyị!"
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1.201632
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(My oupa is 'n trotse klant!)
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(Nna nna m bụ onye ahịa dị mpako!)
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1.20139
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43 dinge wat meisies doen, maar niemand praat daaroor nie!
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Ihe 43 ụmụ agbọghọ na-eme, ma ọ dịghị onye na-ekwu banyere ya!
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1.201056
|
Dit het ons almal al 'n miljoen keer gehoor.
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Anyị niile anụla otu nde ugboro.
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1.200779
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Vir 5 tot 10 jaar sedert u dit gelees het blog.
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Maka afọ 5 ruo 10 kemgbe ị gụrụ nke a blog.
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1.200667
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Wat maak jou gelukkig hierdie week? / What's making you happy this week?
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Kedu ihe na-eme gị obi ụtọ n'izu a? / What's making you happy this week?
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1.199834
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Wat moet ek doen as ek na 28 dae geen verandering sien nie?
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Kedu ihe m ga - eme ma ọ bụrụ na ahụghị m mgbanwe ọ bụla mgbe ụbọchị 28 gasịrị?
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1.199018
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@ Ross - as jy my snark sal vergewe -
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@ Ross - ma ọ bụrụ na ị ga-agbaghara my snark -
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1.198967
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Honderde kliënte ons vertrou!
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Ọtụtụ narị Of Clients Trust Anyị!
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1.198952
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Elke dag klim miljoene Amerikaners in hul voertuie en gaan.
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Kwa ụbọchị, ọtụtụ nde ndị America na-abanye n'ụgbọala ha ma na-aga.
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1.198658
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Waarom is Puerto Rico nie 'n staat nie, maar Alaska en Hawaii wel?
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Gịnị kpatara na Puerto Rico abụghị steeti mana Alaska na Hawaii dị?
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1.197421
|
Wie het byvoorbeeld drie jaar gelede die Super Bowl gewen?
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Dịka ọmụmaatụ, onye meriri Super Bowl afọ atọ gara aga?
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1.197362
|
As u wonder ... het ons die metro teruggeneem na die hotel. 🙂
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Ọ bụrụ na ị na-eche... anyị were ụzọ ụgbọ oloko laghachi na họtel. 🙂
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1.197272
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Vroue moet rein (kaqareu;ein) wees.
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Ndi be nke nwoke ga-agazi na-be ndi nke nwanyi,kwuo ihe ha na-acho n'ezi-na-ulo ahu.
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1.197182
|
En reddet ons van straf en hel.
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I zoputala anyi site n'ochichiri nke mmehie na njo.
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1.197174
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Dit is ten minste 'n nikkel werd, Jamie 😉
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Nke ahụ dịkarịa ala nickel bara uru, Jamie 😉
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1.197111
|
Digitale televisie is hier op 17 Februarie.
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Digital Television dị ebe a na February 17th.
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1.196835
|
Drie mans soek jou.
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Ndị ikom atọ na- achọ gị .
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1.196468
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Nota aan jouself: werk daaraan vanaand!
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Rịba ama onwe gị: rụọ ọrụ na abalị a!
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1.196441
|
Rap is vir luister, nie dans nie.
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Rap bụ maka ige ntị, ọ bụghị ịgba egwú.
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1.195778
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Neem asseblief een uur uit u week en kyk na hierdie video van Dave Taylor.
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Biko were otu elekere n'ime izu gị were lee vidio a Dave Taylor.
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1.195558
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Erger nog, ek is 'n aanhanger van die Wall Street Journal.
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Ọbụna nke ka njọ, abụ m onye na-akwado Wall Street Journal.
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1.195234
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Ek en Katie is nog van plan om daar te wees.
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Mụ na Katie ka na-eme atụmatụ ịnọ ebe ahụ.
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1.195185
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Toe El ¡sa het dit gesien het, het uitgeroep: "O my vader, my vader Israel Ride!"
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Oge ahu, Elaisha huru ya wee tie mkpu si, "Nna m, Nna m, Dike ndi Izrel ji aga mba!" ma o hukwaghi ya ozo.
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1.195146
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Ek het 'n vraag aan u, Bromance:
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Enwere m ajụjụ maka gị, Bromance:
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1.194847
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Stel jou voor as Youtube het ondernemings toegelaat om dit te doen!
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Cheedị ma ọ bụrụ Youtube kwere ka ụlọ ọrụ mee nke a!
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1.194771
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Verklaar: "Dit is die volle waarheid," verklaar die man.
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Ali kọwara Onye Amụma sị, "Ọ bụ ihe kasị eziokwu nke ndị mmadụ."
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1.194695
|
Of hou jy van Al Pacino?
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Ka ị na-amasị Al Pacino?
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1.194309
|
Die mens het haar woonplek,
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echiche nke mmad, kama ewepu ya, ot ah ka ah nke a na-predicated nke nd ah,
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1.19419
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Twee keer studeren?
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Ọ bụrụ na ị na-amụ ugboro abụọ?
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1.193917
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Ek het geen verskil hieroor met John Oliver nie.
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Enweghị m esemokwu ọ bụla na John Oliver na nke a.
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1.19341
|
Ek weet wat u dink ... nog een Infographic?
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Amaara m ihe ị na-eche... ọzọ infographic?
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1.193293
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Ons wil met almal deel hoe ons die wêreld in 8K sien.
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Anyị chọrọ ịkọrọ onye ọ bụla otu anyị si ahụ ụwa na 8K.
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1.193103
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Ek het 'n paar nuwe doelwitte nodig, my doel was hierdie jaar 5,000.
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Achọrọ m ụfọdụ ihe mgbaru ọsọ ọhụrụ, ihe mgbaru ọsọ m bụ 5,000 afọ a.
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1.192594
|
Hier is drie dinge wat ek kan doen (en jy kan ook!):
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Lee ihe 3 m nwere ike ịme (ma ị nwekwara ike, kwa!):
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1.192586
|
Ons geniet ook u blog hier op Gleanster!
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Anyị na-anụ ụtọ blog gị ebe a na Gleanster kwa!
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1.192536
|
en Ek sal hom opwek in die laaste dag."
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Aga M emekwa ka o si n'ọnwụ bilie n'ụbọchị ikpeazụ."
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1.192431
|
Hoop ek sal eendag weer dieselfde oor Basecamp vertel.
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Olileanya na otu ụbọchị m ga-agwa otu ihe ahụ banyere Basecamp ọzọ.
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1.19231
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# 27 is absoluut waar by my!
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# 27 bụ eziokwu zuru oke na m!
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1.192113
|
Ek wens Andy sou hieraan gedink het:
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Achọrọ m ka Andy gaara eche echiche nke a:
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1.191968
|
Kan u dit (aanhou) sien?
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Ị ga-adịghị ahụ ?'
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1.191496
|
Hoe sal Farao dan na my luister?"
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Abụ m onye a na-ebighị úgwù n'egbugbere ọnụ, olee otú Fero ga-esi getụdị m ntị?"+
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1.191229
|
U kan byvoorbeeld 15-35% verloor as u besluit om bitcoins te koop.
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Dịka ọmụmaatụ, ị nwere ike idafu 15-35% ma ọ bụrụ na ị kpebiri ịzụta bitcoins.
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1.191067
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(BTW: My ma hoef dit nie meer te gebruik nie.
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(BTW: Mama m agaghizi eji ya.
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1.190933
|
Ek gaan nie na New York of San Francisco verhuis nie.
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Agaghị m akwaga New York ma ọ bụ San Francisco.
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1.19092
|
Ek probeer my geld gee - waarom maak u dit so moeilik?
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Ana m anwa inye gị ego m - gịnị kpatara ị ji eme ya siri ike?
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1.190634
|
Is jou boetes korrek uitgereik?"
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Ndaa nye nwernu rikne ọ gbarụ mmehie, hne ọ bụ́o Chiokike kpọi?"
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1.190217
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Dit is drie of vier keer verkoop sedert ek daar was.
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Ereela ya ugboro atọ ma ọ bụ anọ kemgbe m bịara ebe ahụ.
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1.190132
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Nou weet jy waarom ek werk vry.
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Ugbu a ị maara ihe mere m ji arụ ọrụ free.
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1.190085
|
U hoef dit nie te gaan soek nie - dit bestaan reeds in die sosiale media!
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Kwesighi ịga chọta ya - ọ dịlarị na mgbasa ozi mmekọrịta!
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1.189989
|
Moenie dit weer doen nie Doug 😉
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Emekwala ya ọzọ Doug 😉
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1.189809
|
Wie is soos jy in Israel?
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Ònye dịkwa ka gị n' Izrel ?
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1.189533
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Ek kom nie van Madrid nie, maar my man is.
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Adịghị m Madrid mana di m bụ.
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1.189427
|
Die verskil tussen # 1 en # 2 is baie groter as wat ek gedink het dit sou wees.
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Ihe dị iche n'etiti # 1 na # 2 buru ibu karịa ka m chere na ọ ga-abụ.
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1.189301
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Dit is 'n wonderlike artikel Douglas, ja, jy is reg!
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Nke a bụ nnukwu ederede Douglas, ee, ị bụ eziokwu!
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1.189232
|
Ek weet wat u bedoel, Tony.
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Tony m maara ihe ị na-ekwu, Tony.
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1.189011
|
Of die gebruik van VET jou eintlik vet maak
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Ma ọ bụ na-akwụ ya site akụ nyefe, n'ebe ọdịda anyanwụ n'otu (ga-n'ịwa a PI na akaụntụ).
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1.1888
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Ek is nie presies seker wat u punt is nie, natuurlik is Twitter nie RSS nie.
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Amachaghị m ihe isi okwu gị, n'ezie Twitter abụghị RSS.
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1.188692
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Ek het dit probeer en alles werk soos 'n droom!
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Agbalịrị m nke a ma ihe niile na-arụ ọrụ dị ka nrọ!
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1.188624
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Jy weet dat ek praat hier van toilette, dames.
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Ị maara na m na-ekwu okwu banyere ụlọ mposi ebe a, ladies.
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1.188533
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so seker is die wederkoms van jou Heer."
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Ọ bụ Onyenwe unu, na Ya ị ga-alaghachi . '
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1.188271
|
Januarie 15 en 22 het nog twee blogs gesien.
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Jenụwarị 15th na 22nd hụrụ blọọgụ abụọ ọzọ.
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1.188185
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Ek het tien keer die geld aan koffie bestee as voorheen!
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Ana m etinye ego 10 ugboro ego na kọfị karịa ka m na-emebu!
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1.188156
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As ek Google was, sou ek 1.5 miljard daarvoor betaal, wat hulle vir Youtube betaal het.
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A sị na m bụ Google, aga m akwụ ha 1.5 ijeri maka ha, ihe ha kwụrụ maka Youtube.
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1.1881
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Die twee hoofbronne is Birma (Myanmar)...
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Isi mmalite abụọ bụ Burma (Mianma) ...
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1.18787
|
Thanks for reading the Top Slot Site Live Casino Blog - Is dit nie tyd dat jy begin speel?
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Thanks for reading the Top Slot Site Live Casino Blog - Abụghị oge ị malitere na-akpọ?
|
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in Data Studio
Afrikaans-Igbo_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-Igbo_Sentence-Pairs
- Number of Rows: 820405
- Number of Columns: 3
- Columns: score, Afrikaans, Igbo
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).Igbo: 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
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Size of downloaded dataset files:
71.7 MB
Size of the auto-converted Parquet files:
49 MB
Number of rows:
820,405