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
| Bambara
stringlengths 10
494
| Fulah
stringlengths 10
497
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1.249999
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Jɛkulu si tɛ kɛlɛn dɔrɔn yɛ walima dɔ wɛrɛ yɛ.
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Wala kala motta laatii ka goota ko luttaano.
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1.247881
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Aristote ka baara caamatun ma lakodɔn tilebinyanfanfɛ ni waati la.
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Duudal kuugal Ristotle fuuh anddama e Hirna wakkatiire nden.
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1.247283
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U ka baara n'u ka sɛbɛnni bɛ tununna kaban.
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Kuuɗe maɓɓe e binndi maɓɓe fat ɓadake majja.
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1.247103
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Mɔgɔ minnu ma lɛrɛ fila sɔrɔ a dɔgɔyalenba la - hali n'u ye lɛrɛ kelen tɛmɛ dɔgɔkun kɔnɔ - u tun tɛ nafaw sɔrɔ.
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Yimɓe ko walaa keɓa ko famɗi fuu awaji ɗiɗi - ko to ɓe saali awa gootel haa asawere - walaa keɓa boteji man.
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1.245437
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Wati bɛ, a bɛ nani ɲinigali wɛrɛw a tɛ see ka munnu jabi nin wati na.
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Kala sarde fuf, no ɗum wadda ƴami ɗuuɗi ɓurduɗi ɗi ɗum jaabaa.
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1.245266
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Ne ma deli ka miiri ko a bi na bɔ filimu la.
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Mi meeɗai tammugo ɓe hollan ɗum ha fijirle silma.
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1.242605
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ko lakou, ka lakou,
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be contrary to, be diffident, be doubtful, be dubious,
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1.242452
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A kaɲi ka filɔzɔfi ka kokɔrɔ lɔn."
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Ɗun ɓoɗɗun annduki taariiha palsapaagu."
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1.241489
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tigidali wali pidubadi,
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be contrary to, be diffident, be doubtful, be dubious,
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1.240559
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Nielsen fa sara waati min san tan ani naani bɛ bolo.
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Baba Nielsen's mayi sa'e o ɗo duɓi sappoi nai.
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1.238548
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Ni de kera joyɔrɔ laban wa a ka joyɔrɔ kelen inafo muso.
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Ɗoo on fijirde ragare o waɗi bo kannjum tan on fijirde o waɗi haa o wanngi dow o debbo on.
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1.238144
|
Arabuw fana tun yɛ nin cogoya kura kalan ani ka soro ka wɛɛle ko hesab.
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Arab'en kamɓe maa anndii ngo'ol laawol nden ɓe noddiri-ngol hesab.
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1.238111
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O den kisɛw la saba dɔrɔn de sera ka balo ka se u bangili ma, ani kelen dɔrɔn de sera ka balo fɔ ka se kɔrɔya ma.
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Tagle tati tan nder tagle kese ɗen kewtata danyeego, nden bo tagdi go'o tan mawnata.
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1.238092
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8°N fortiere ta min bé Somalie ani Ethiopie tié.
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8°N wakkere boda hakkunde Somalia be Ethiopia.
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1.236873
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O la, u bɛ tɔ ka polinɔmiliyaliw sɛbɛn, missali la, inafo .
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Ngam non ɓe mbinnday ɗuuɗa coɓɓuliije, misaalu, bano.
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1.236208
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Michael Novacek (1986) y'u don lɔyɔrɔ cɔgɔya kelen na.
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Michael Novacek (1986) waati de nder darnde woore.
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1.234816
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Egypt kôrô gnanadièw toun bè se ka kè diinè walima politiki ta ye.
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Bukuuji yimɓe Misra ɓe neeɓi rakkay lattaki ko ɗun siyaasa ko ɗun diina.
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1.234519
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A ye bonya sɔrɔ a ka siɲɛ sabana san 1955 Love Me or Leave Me kama ani Doris Day.
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O supta ma nde tati nder hitaande 1955, nder film sinima 'Love Me or Leave Me' kannko be Doris Day.
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1.234499
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Nin kalan kɛra Jacob L. Moreno fɛ.
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Jacob L. Moreno. janngi ɗum.
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1.233893
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Sariyaberew yɛ politikiw yɛ, ka sabu kɛ politikimɔgɔw dɛ yɛ u dan.
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Dookaji ɗun siyaasaku, ngam ɓe siyaasa'en titiɗi.
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1.233662
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29 Minnu bɛ kiraya kɛ, olu la mɔgɔ fila wala saba ka kuma, mɔgɔ tɔw ka o kumaw sɛgɛsɛgɛ.
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29 Haaldooɓe annabaaku du, ɗiɗo naa tato tan kaala, de heddiiɓe ɓeen kiinya haala maɓɓe kaan.
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1.2322
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E.O. Wilson sinsinra a kan ka fo ꞃɛtaga fana wale bɛ se ka se jɛkuluw ma.
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E.O. Wilson yardi wii donuuji ɗi no wawan heɓa moftal.
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1.23192
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Furuɲogow tora ɲogon fɛ kononala ani kenema san caama.
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ɳaal ɗon dewgal wuurdino cokki duuƃi kewɗi
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1.231717
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Kumaden tun dira Latin per centum ma.
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Innde nden to ƴiwoy woni Laatinre paa sentum.
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1.231012
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Dien tabolo wèrèw scientifiquiw béna laboratoire façon wèrèw utilisé.
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kiimiyyaen haa bangeeje feere naftoran shuudi foondo goddi.
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1.229396
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Kunnafonisira kalanw bɛ di UK fan bɛ la.
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Jannde habaruuji no jangina nder leydi UK fat.
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1.229034
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12 "Fɛn caman bɛ ne fɛ k'a fɔ aw ye, nka aw tɛ se olu kɔrɔ sisan.
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12 "E mi woodi fii ɗuɗɗum ɗum ngiɗumi wiiki'on, ammaa jooni ɗum teddanay'on.
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1.228917
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Ola, fɛn o fɛn n'an b'a miiri tiɲɛ ye, hali an yɛrɛ, bɛɛ ye galon yelen ye.
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Ngam non, fat ko min numata laato googa hatta hoore min ɗun wakiltaaki fewre.
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1.228512
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13 Nka n'i bɛ dumuniba labɛn, i ka faantanw ni mɔgɔ fiɲɛmaw ni nabaraw ani fiyentɔw wele.
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13 Ammaa to a waɗi nyaamdu juulde, ewna talaka'en e wuustuɓe e woosɓe e wumɓe.
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1.228305
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U cama wolola nin kulu in kɔnɔ ani u sara kɔnɔ fana.
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Ɓurna fuu ɓe danyi ɓe bee dental man nden bo maaya nder dental man.
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1.227226
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A ye mini dabila kabini san duuru.
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O dartinoma ngam yarde duuɓi ʣoy
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1.227065
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Tahli wala , Arniwala, Bodiwala,
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be contrary to, be diffident, be doubtful, be dubious,
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1.226475
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trainant, ô ma douce écaillère,
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be contrary to, be diffident, be doubtful, be dubious,
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1.226349
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Porogaramu nafama ani kumaba dɔw tun tugura Ford taw ko.
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Program maunde fere marɗo alfanu tokki Ford's.
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1.226346
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O tɛ dan ka i ka danaya tagaɲɛfɛ dɔrɔn n'ga a bɛ fana i ka kaan ani i ka kumadengafe fisaya.
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Non ɗum na kaway semmbiɗinay ilmu baa haa yajjinay ɗenngal e kalmaaji tagu.
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1.225371
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Nɔkanda fila de bi keynesiankaw ka nafarasɔrɔsira la.
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Jannguɗo moftal-jawdi mo Keynsia mari donooɓe ɗidi.
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1.22525
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Jamana masinw bɛɛ bɛ bɔ dugu dɔ la ka taa dɔ wɛrɛ la kalo wɔrɔ o kalo wɔrɔ.
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Ɓe woni dow kuugal leydi man fuu ɗo umma diga jiha gootel yahugo wuro feere kala lebbi joygo fuu.
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1.224821
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Siyaw ka tarikou donni kalan fana de do min bè sekè a bè yen bi waalima a tè yen.
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Kadin bo ɗun jannguki taariiha kabiilaaji ferɗooɗirɗi laatiɗi ɗi ɗon ko walaɗon hannde
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1.224591
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A ko npogotigi filaniw, Lulu ni Nana, wolola dogokun damadɔw yan ni u ka wati ka se.
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Owi'I siwtaaɓe mbi'eteeɓe Lulu e Nana, danyaama asaweeje seɗɗa ƴaɓɓiiɗe.
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1.224582
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4 Ni a ye u labò tuma min na, a bè taama u ɲè, sagaw bè tugu a nòfè, katuguni u b'a kan dòn.
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4 To o wurtinii fuu baali maako, o ardotoɗi, ɗi tokkaymo, ngam e ɗi andi hononde maako.
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1.224276
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33 Aw ye cidenw bila ka taa Yuhana fè, a ye tiɲè seereya kè.
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33 On lili yimɓe to Yahaya, kanko boo o hokki'on ceyda goonga dow am.
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1.223599
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Yala tɔgɔ bɛ Ala la wa?
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Allah woodi innde na?
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1.223379
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Lolosɛɛrɛ fɔlɔw tun dilana cɔgojumɛn?
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No oorle koode aranndeeje fuɗɗiri.
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1.222752
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A bɛ gɛlɛyaw fana lawuli i n'a fɔ taabolo kura bɛ ka yiriwa.
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Ɗum kadi waaway waduugo masalaaji to laabi kesi keɓaa-ma.
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1.22253
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Misali nôgôma dô ye cayaliye.
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Misaalu koyɗun hanjun wonte hanjum wonte ninkaaki
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1.221664
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n'ala sɔnna, an bɛna taa.
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En mbaɗan ɗum, to Allah muuyi.
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1.221654
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Ka bini o tuma a tun kɛra, ani a bɛ ka kɛ, VCE kɔnɔnan fan ba do yɛ.
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Ndiga ɗon ɗum warti, nden arti laati yabre VCE cammbinga.
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1.221572
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A ye a bila a kungulo la ko a bina baara wɛrɛ sɔrɔ fen wɛrɛ."
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"O waɗi anniya ɗaɓɓugo gollal fere fahin."
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1.220579
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Siwilizasiyɔn wɛrɛ minnu kɛra Afiriki kɔnɔ, olu ye ɲɛtaa sɔrɔ o waati la.
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Babe fere bo nder Afirka fu heɓi jahal yeeso haa wakkati man.
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1.220514
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A ka meridiyɛn fɔlɔ tɛmɛna Alɛkisandiri fɛ.
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Prime meridian mako saali hedi Alexandria.
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1.219135
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A ye aparheid fana kele kɛ.
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O laati no horeejo ha haɓugo be ngugkuji wangungo soide pottal caka le'i.
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1.218776
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Dalaminɛ cogow ni a tun bɛ fɛ ka min fɔ de danfarala.
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Bayaanuuji ferɗodiri dow ko mo numata.
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1.218675
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Siratigɛ fila dɛ bɛiy miniw ta tɛ u ma ɲɛnɛbɔ drɔn yɛ n'ga a bɛ sɛ ka kɛ u tɛ sɛ ka ɲɛnɛbɔ fiyɛw bi tile dansigininw fɛ.
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Gacce ɗiɗi e ngoodi ɗe kuuwanaaka amma ɗe teema nder goonga ɗe laatoo ɗe kuuwanaaka dow darorɗe mawɗe ɗe jaman.
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1.218035
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Ni an kounbé gnanadiè kè, o toun be fisaya ka ta fè.
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Soni anndal ngal lugginaama fu, paamu
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1.217685
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Yesu y'a fò u ye ko: "Ayiwa, sebaaya min b'a to ne bè nin kow kè, ne fana tèna o fò aw ye."
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Yeesu wi'i ɓe: "Nden kam min boo mi wi'ataa on bee baawɗe ɗeye mi huuwrata kuuje ɗe."
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1.217391
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A le tun ye tɛorem baa folo ye min kokɔrɔbɔ la ni ɔridinatɛri labaarali ye.
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Kanngal woni narral mawngal tabbitiniraangal seyda kampita.
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1.216582
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Ameriken cejugu (1963) ye ni filimu nunu do la fɔlɔ.
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Fijirde film 'The Ugly American' nder hitaade (1963) kannjum on film arannde nder filmji nanndi bee ɗo.
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1.215434
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Caillié yé so min yé ni toun be sékakè oyé.
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No laatoo nymngo ngo Caillié yi'i.
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1.215123
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U ka fɛrɛsiraw bi tubabu tile fɛrɛsira jabi kelen nin de dii.
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Jawabu be hebi heedi laabi mabbe go'o be laabi jamanu.
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1.214437
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Sissan programmes tan ni dourrou de sèben thiara UK Kônô.
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Jonta wodi kuɗe andaɗi sappo e joi hander UK.
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1.214331
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13 Balimaw, ni diɲɛ bɛ aw koniya, aw kana kabakoya o la.
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13 Banniraaɓe, to on kayɗinee to himɓe duuniyaaru wanyii on.
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1.21307
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O sɛgɛsɛgɛli kɛra ni kunnafoniw ye minnu bɔra mɔgɔ 20,000 ɲɔgɔn na UK jamana kan.
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Janngirde man naftiri bee bayanu ha kusan yimɓe 20,000 haa UK.
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1.212152
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14 "Aw ye kɛnɛyeelen ye diɲɛ la.
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14"Onon ngoni jayngol duuniyaaru.
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1.212147
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33 Yesu y'a fɔ ko: "Ne bɛ aw fɛ ka waatinin kɛ fɔlɔ, o kɔ, ne na taa ne cibaa ma.
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33 Yeesu wi'i, "Mi jooɗodoto e mooɗon carel seɗɗa yeeso ɗo'o, gaɗa ɗon mi so " oto to liloyɗoyam.
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1.211239
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Hali n'a y'a ɲini ka sariya kelen sugandi, nin yɛlɛmabolo wɛrɛw bɛɛ sera ka to yen fo bi.
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Ko ngam bo kabdol supta gootel ko naftirta, fuu ɗo man yotti jotta ɓe ɗo naftira bee man.
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1.211125
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Bi waati laban bɛ ka taa a fɛ ka taa diɲɛ kɛlɛba filanan laban na, san 1945, walimawalima ka na se bi ma.
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Duuɓi ɓaawooji tokki yahugo ha wari ragare konu duuniyaaru ɗiɗabru, nder hitaade 1945.
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1.210945
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Mɔgɔ nunu bè kun te kele sɔrɔ wa u ka ɲini fenw fana bè te sɔrɔwaati kelen.
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Yimɓe ɓe na sai to ɓe andi ɓe waɗata coggu bee filu be maɓɓe bo ɓe andata haajeeji goto maɓɓe ha kala wakkati fu.
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1.210681
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Nielsen ka dembaya kun yelemana siɲɛ caama a ka demisɛniya waati a ya sɔrɔ a fa bɛ ka baara ɲini.
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Saro Nielsen ummi sosai sa'e o ɗo mawna ha yake baba mako tefata kuɗe waɗugo.
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1.210625
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A kɛra Sinuwa jamana na san 2017, ani a ye kunnafoni di zanwuye kalo la san 2018.
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Ɗum waɗaama to China nder hitaande 2017, boo habaru maajum waɗaama nder Lewru Janeeru, 2018.
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1.210587
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Kalan fɔcogo ye ka don protein sugandiw bɛ ka kɛ yɔrɔ jumɛ ani waati jumɛ.
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Najaru wolwugo e waɗee ngam heftugo toye e kadi ndeye sinaadariiji protein ngaɗetee nder ɓanndu.
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1.210444
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A ka fisa ni nin kumaden suguya nunu tun kunnasagola nin sira wɛrɛw yɛ tuma o tuma ni a bɛ sɛ ka kɛ.
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Ɓuray laato kala kalmaaji ɗi'i huudatake ta atal huuduki e handuɗi.
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1.210366
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Yesu bɛ ka mun de kɛ sisan?
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Ɗume Yeesu ɗon waɗa jotta?
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1.209831
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Politiki hakɛw tun tɛ u bolo o kama u tun tɛ se ka wote.
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Bewala baude heddi yebre siyasa den bo bewala baude subol.
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1.209665
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De Materia Medica kalana kɔsobɛ a ka can ni san 1500.
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Dun don jannga De Materiya Medika e' ko toye nder ko buri duubi 1, 500.
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1.209637
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O sabu la a y'a ka dɔnniya la kurakuraya.
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Diga kala maadi di'i mo mahi ilmuu maako nde mo puɗɗiti.
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1.209324
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Ni lektón toun yé kôrô yé (walima koumasen) kèlenkélen bè kôrô.
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Kaa filla maa nde yi'annde woni ko firtata (maaninta) kala konngol fu.
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1.209263
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À yé kôkôrômadon kouma fèsèfèsèlen dôdi ni kounkan New Directions kônô.
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- o waɗii jeddol maangol e ley kaan haala ley New Directions.
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1.209156
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15 "Ni aw bɛ ne kanu, aw na ne ka ci fɔlenw mara.
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15 "To on ngiɗiyam, on ngaɗay ko mbiimi ngaɗon.
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1.209108
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Karitiw fanba, i n'a fɔ jamana kelen kɔnɔ, tɛ pilakiw datugu.
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Ɓurna mapping fuu, bana nder leydi, walaa jooɗa nder babal plates.
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1.20908
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Banakisɛw bɛ se ka jɛnsɛ cogoya caman na.
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Viros hon wawai saakuki ta ate duudde.
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1.209072
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13 Nka n'i bè dumuniba labèn, i ka faantanw ni mògò fiɲèmaw ni nabaraw ani fiyentòw wele.
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13 Ammaa to a waɗi nyaamdu juulde, ewna talaka'en e wuustuɓe e woosɓe e wumɓe.
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1.20869
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Selili eukaryotic bɔra a bi san 1.6 ni 2.7 miliyari bɔ.
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Taklonnji yukariyot en ummoyi hakkude duubi biliyon 1.6 e' 2.7 saaliide.
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1.208345
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18 Musow, a' ye kolo aw cɛw ye, i ko a bɛnnen bɛ Matigi la cogo min na.
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18 Onon rewɓe, ɗowtanee worɓe mooɗon, hande no haani rewɓe tokkuɓe Joomiraawo wonira.
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1.208316
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A ye wari sɔrɔ min ka ca ni dolar 50,000 san kelen kɔnɔ a ka baara sewalen waati - wari caama de do o waati la, wa o wari ka ca ni a furucɛ ta ye pew min ye dolar 20,000.
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Oɗo heɓa ceede ko ɓuri Dollars Amerika $50,000 kala hitaade fu, wakkati hoodere maako jalbata- ceede on keeɗe yaake den, bo keɓal maako ɓuri ko gorko maako heɓata $20,000.
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1.207679
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Brando ka sara kun y dolar miliɔn 1 dugokun wo dugokun dugokun 3 kɔnɔ.
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Ɓeɗo yoɓa Brando ceede Dollars miliyon woore $1 haa kala asaweere fu nder asaweeje 3 tati o waɗi gollal fu.
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1.207666
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A ye baarakɛ Alemaɲ filimu kan fo mankan filimu daminɛni.
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O huwi ha fimji lesɗi Jamus har wakkati ɓe fuɗɗi fimji be volɗe.
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1.207139
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Kalow tèmèna, nga môgô wèrèw ma na.
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Lebbi na mbittoo, ammaa semmbe feereejo fuh waraay ɓeydii e maɓɓe.
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1.207108
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Ale ni Chaplin kera o baara yɔrɔ la san tan.
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Kanko e Chaplin ɳonino ʣokko ndir ƃe e dental ɳal ma won duuƃi sapoʣi
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1.206841
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Bi tile Greek jamana kɔnɔnana, Πληροφορία kumaden bɛ fɔɔ donwodon ani a kɔrɔ yɛ kɛlɛn dɛ yɛ inafo kunnafoni l'anglais kaan na.
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Nder Greek jamanu kalima Πληροφορία ɗo nder kalmaji je huwata nden bo e ɗum mari ma'aana go'oto be information nder english.
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1.206512
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Kabini 2018 sàn na, bagan sàba dɔrɔn de bamayɛlɛmara joli fɛ sɔn kɛra minnu ma Etazini bɛɛ la.
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Haa warugo hitaande 2018 dabbaaji baylaaɗi tati tan njaɓaa nder duuniyaaru fuu, boo ɗi fuu nder Amirka.
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1.206467
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Tiɲɛ na, ninnu si (ani dɔ wɛrɛw) epitɛti farakan ani titiriw tun ma deli ka fili pewu.
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Gonnga man, walaa koo gootel nder ɗii ɗo (bee luttuɗum) nder indeeji ɗo sakkinaa ma fuu.
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1.206222
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Alaska bebo ka ké diayan kelin yé komi Australie, hali nakéra Australie yé sissan 41⁄2 wati boyan la.
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noonde lesdi Alaska ngorgidan e lesdi Australia , koo nde manngu hakiiken lesdi Australia mawna a 41⁄2
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1.206157
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Kɔfɛ a ka ɲɛnamaya la, a sɔna, "Ne ye a fanba kɛ ne yɛrɛ."
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"Iga ɓaawo nder ngeedam maako, o tabbitini, ""Warti doole am sai ni mi waɗa ɗum bee hoore am.
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1.206136
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A ka saiyasen filana nin Mendel yɛ min cari bɛ yɛ kɛlɛn yɛ.
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Dooka maako didabol iri go'o e' ko Mendel winndi.
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1.205458
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20Bari ni mɔgɔ fila walima mɔgɔ saba mana ɲɔgɔn lajɛn yɔrɔ o yɔrɔ ne tɔgɔ la, ne b'u cɛma."
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20 Ngam haa yimɓe ɗiɗo koo tato kawti ngam innde am fuu, mi ɗon caka maɓɓe."
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1.205418
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O bɛ na taa tilenbaliya fagan boɲana ka tɛmɛ fɔlɔ kan.
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Koo maani, ciya deedeetinki laati ɓuri no naane maa.
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1.20537
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45 Ne kɔni bɛ tiɲɛ fɔ, o de y'a to aw ma da ne la.
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45 Ammaa ngam mi wi'i goonga, on koolaakiyam.
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1.20461
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Catherine yèrè de ye yamariya di ka fangali daminè.
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Catherine kam e hoore mum hokkii laawol fa ɗum waɗee.
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1.204594
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Ni wagati minna landa la dinɛw dɛsɛra ka u kuun tilɛn hami kuraw ma, o tuma dinɛ kuraw bɛ u kun bɔ.
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Wakkakiire nde diinaaji gargajiya saldori helaago caanuuji kesi to diina gokka wangay.
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1.204469
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Ni de ba to kɔgɔji be caaya.
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DalIila ɓesdol yaajega teekuuji.
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in Data Studio
Bambara-Fulah_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: Bambara-Fulah_Sentence-Pairs
- Number of Rows: 38120
- Number of Columns: 3
- Columns: score, Bambara, Fulah
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).Bambara: The first sentence in the pair (language 1).Fulah: 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:
6.66 MB
Size of the auto-converted Parquet files:
5.09 MB
Number of rows:
38,120