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
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489
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1.249839
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acie Basques ëbën ke ye jam-Basque.
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Naa kala ko moye nder Basques wolwata ɗengal Basque.
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1.24929
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Käjuäc cenëke ya bɛ̈n ya diɛɛr në kek aye kä ke pial ë guöp ku jɔl ya ku jɔl ya kärɛc ye röt looi në pinynhom në tän de GMOs.
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Ko ɗum ɓuri hakkilango kanjum woni ko tageefooji baylaaɗi ngaddanta jamu yimɓe e ko filiiɓe.
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1.247342
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Akutnhom circa acï ɣöt ɣɔɔc në $35 million.
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Waalde nden soodii sooro on miliyooji 35 dollar.
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1.247337
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Kän yenë ka ye luɔɔideen ciɛ̈ɛ̈n ku yenë luɔɔide ëya ke ye dukɛ̈ɛ̈r tik.
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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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1.247169
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Cïïtiŋ, naan na cïï Lyod nyan cɔl Davis ya ting nyin ayenë nhïëër ben ye pou.
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Sarama wonde, kala nde o yeɓɓi Lloyd fof omo ɓeydo yidde ɗum
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1.247145
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Aacïï dïëkde miau pɔl në runke dhïɛc.
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O dartinoma ngam yarde duuɓi ʣoy
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1.247037
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4 Kɔckä karou wɛ̈t Nhialic nyuɔɔth, kek aa tiim karou ye miɛ̈thken looi ë miök, ku käk ye mɛ̈c adök karou took kenhïïm ë kɔ̈ɔ̈c Nhialic nhom bɛ̈ny pinynhom.
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4 Seedeeɓe ɗiɗo ɓen woni leɗɗe jaytuuje ɗiɗi, e fitillaaji ɗiɗi, dariiɗi yeeso Joomiraawo duuniyaaru.
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1.246843
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Yekën awuɔ̈c keke ciin de 1.3% cï röt tïŋ kek ci röt luɔ̈I kaapɛ̈c.
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Ɗo senndiri e waldaa bee limre hesre 1.3% ɓe andini dow ɓeɗo mari sanaa'aji bee gollal maɓɓe.
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1.246652
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Thompson, cï tɔ̈u United States në yee thaar kën, akëc rot dhuɔ̈k Yucatán.
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Thompson, tawaakanonaa leydi Amirki kaa ruuɗaaki Yucatan gatin.
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1.246503
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38 bï wɛ̈t cï Ithaya, raan käk Nhialic tïŋ kaŋ lueel thɛɛr yenhom tiɛɛŋ, wɛ̈tden wäär lueel ëlä, "Bɛ̈ny, yeŋa cï wɛ̈t cuk lɛ̈k kɔc gam?
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38 Ɗu'um waɗi ngam ɗum hebbina ko Annabi Icaaya wi'i, "Joomiraawo, moye jaɓi ko mbiiɗen?
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1.246202
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Ŋic de kɔc ke Spain adhil ranë bën loi ë lööŋ ke Spanish (article no.
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Ilmu Spanish ɗun doole nder dookaaji kiita Spanish (article no.
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1.24617
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Ciɛ̈mthok, paanda, aye kën ye looi.
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Muccaade dow gole, nder iyaalu men, lamar on.
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1.246093
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Alëu bï ya piny mec thɛɛr ye piny yam kän tɔ̈ ɣok thïn nyuɔɔth.
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Nde laatoto tamre suura duuniyaaru anndaande birnde neebugo hollunde duuniyaaru.
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1.245958
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Në thööŋ, Europe ee yic lac tek në walaya ye lac thɔ̈ɔ̈r.
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Sai ni nder bolliɗe fere bo, naahiya Nasaara wooni luural hakkude dewalji ferefere.
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1.245858
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Käjuëc ëke cïï Aristotle kek looi aake kuc kek paan ciɛɛm në ye thaa kän.
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Duudal kuugal Ristotle fuuh anddama e Hirna wakkatiire nden.
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1.2452
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Adɛ̈k ke ye ɣɔ̈n ci Caillié tïŋ.
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No laatoo nymngo ngo Caillié yi'i.
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1.245159
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18 Ɣɛn alec Nhialic rin ye ɣɛn jam thok juëc cïï ŋic wär ɣɛn we ëbën.
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18 Mi ɗon yetta Allah ngam mi ɓuri on fuu wolwugo bee ɗemɗe ɗe anndaaka.
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1.245017
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Ɣɔn cenë lööŋ thaany cök në ruöön 1996 agonë dhɛ̈ŋ cië ye bɛɛr them yiic (man ŋoot ke këc bɛ̈n tääu në luɔɔi yic agut cï ruöön de 2011), ke bɛ̈I käkë kedhiɛ aake cï gam bïk kɔ̈ɔ̈c në them de dhɛ̈ŋ yiic agokë cië ye bɛɛr looi.
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Ɓaawo wattugo junngo dow ɗereewol Comprehensive Test Ban Treaty nder hitaande 1996 (ko heewti hitaande 2011 fuɗɗaayi naftoreego) diiwe fuu ngerdake acca foonfugo balmi nuukiliya.
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1.244773
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Na cï bɛ̈n lɔc në door yiic kaa diäk në 1955 në aguiɛɛr de Love Me or Leave Me kenë 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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1.244464
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Në ruöön de 2018 ke läi kaadiäk cï kek cak paan de USA acï kek, acï kek bɛ̈n gam.
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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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1.244047
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38 ku wɛ̈t cï lueel acäk ye muk wepuɔ̈th, rin cïï wek wɛ̈t raan cï tooc ye gam.
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38 Wolde maako boo walaa nder ɓerɗe mooɗon ngam on koolaaki mo o liloyi.
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1.243957
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Cinima ye cɔl The Ugly American (1963) yenëka ye cinema tueeŋ.
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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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1.2431
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Luɔɔideen thɛɛr aye thukul de Frankfurt geer agokë wëlke ya piŋ apath.
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Kuungal maako ɗon wonte nder sembiɗinki janngirde Frankfurt.
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1.242471
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Ku acin nyɛi de ciɛŋ tök ë ciɛŋ dɛ̈ŋ."
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Bo wala aada gokka yaɓa gokka.
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1.242371
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Kan ɛɛ taan cennë Zeno thɛm bï thɔɔl ku nyoothɣen ye yii.
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Ɗu'um tan Zeno yiɗi tabbitina .
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1.241637
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Kë thɔɔŋë pi e yen kaŋë yup.
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Darja Pi ɗum kanko fuɗɗi limuki-ɗum.
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1.241516
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Acï yenhom bɛ̈n tak bï ya lɔ guik në luɔɔi dɛ̈t peei bï ya looi. "
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"O waɗi anniya ɗaɓɓugo gollal fere fahin."
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1.240739
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Dupiöny cɔl Michael Novacek (në ruön de 1986) acï kek bɛ̈n tääu në nyin tökic.
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Michael Novacek (1986) waati de nder darnde woore.
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1.24063
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8 Kɔc mit gup aa kɔc ɣer puɔ̈th, rin bï kek Nhialic tïŋ!
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8 "Ɓe barkiɗinaaɓe ɓe ɓerɗe laɓɗe, ngam ɓe ngi'ay Allah.
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1.240443
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Lööŋ aye thiɛɛth, acän thiɛɛthïn kek aye looi.
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Dookaji ɗun siyaasaku, ngam ɓe siyaasa'en titiɗi.
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1.240256
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Läkïn, 2010 yic ɣɔ̈n kuen aci 500,000 bɔ̈k cen ke dhit yök tën Bibliothèque nationale de France.)
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Ammaa Hitaande 2010, nokku mooɓoowo dewte Faransi no innditire Bibliotheque nationale de France waɗi nokku mooɓoowo dewte on moƴƴere dewte 500, 000.
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1.240218
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Acï bɛ̈n ya tiɛ̈m, ku ŋoot ke lɔ tueŋ, ke ye biäk path de VCE.
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Ndiga ɗon ɗum warti, nden arti laati yabre VCE cammbinga.
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1.239922
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Ye lektón kënë yenë kee ye luɛɛl de (wala täk) de aye door.
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Kaa filla maa nde yi'annde woni ko firtata (maaninta) kala konngol fu.
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1.23978
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Athöördeen de rou athöŋ kenë athöör ɣɔn cïï Mendel gɔ̈t.
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Dooka maako didabol iri go'o e' ko Mendel winndi.
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1.239622
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Naa cak tɔ̈u, acïn ajuɛɛr nyic bïnë yeeŋa ye ran nyic käŋ (scientist) ku yeeŋa cie scientist.
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Sikay, walaa laawol dartinaangol ngam jooɗɗinki moye woni saayinsiyankeejo nden moye woni wonaa kanko.
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1.239075
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Ajuɛɛr kën aa gam në Pɛɛi Dhetem 1928.
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Anniyaaji ɗin ɓe njaardake e muuɗum ley lewru jeɗɗaɓurdu 1928.
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1.238259
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Në ye wɛ̈t kän yic ëyadɛ̈, acï ŋïc bɛ̈n yiɛ̈k nhial.
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Diga kala maadi di'i mo mahi ilmuu maako nde mo puɗɗiti.
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1.237593
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Kɔc ye kɛɛr ake kin ke gɔr riin në lïïth de Company de Griffith.
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Cujannoƃe ƃe mbinna nokka e ňamale to duɗal Griffith to
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1.23733
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Kajuaac yic, wei puoth raan cöl oxygen aye guop Raan maan kölkök yic.
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To matsaliji ɗuɗɗi eɗum yofa hendu wiigo ɗum nafata.
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1.237277
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Raan cɔl Wilson acï bɛ̈n jam wu kä këc kɔn tak bï ye wɛ̈t kän lueel, të cenë kë de ye wɛ̈t kënë yic.
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Wilson bo wii o meɗa yaccugo ko hani sey ni ko fe'e.
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1.23721
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Pïu aye 71% de pinynhom.
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Ndiyam ombi ko yaari 71% ɗum ndaɗɗudi adunaaru
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1.236992
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Yekënë acïï thoŋdu bï cɔk puɔth ku ëya dɛ̈t abi thoŋdu juak ku wël.
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Non ɗum na kaway semmbiɗinay ilmu baa haa yajjinay ɗenngal e kalmaaji tagu.
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1.236957
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Ke kä cï kek tak käkë aci ya juäc apɛi tënë kɔc cɔl kek 'transhumanists' awär tëden thɛɛr.
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Miijooji ɗi'i laatike ko kaɓe ngiɗɓe saayinsi e teknooloji ɓurdani paalaaki gila nden sarde.
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1.236779
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Toŋ kaadiäk de kee töŋ käkë, aacï bɛ̈n pïïr agut cï bï kek dhiëëth, ku kee töŋ de kek yenëka cï bɛ̈n pïïr agut cï bï dït.
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Tagle tati tan nder tagle kese ɗen kewtata danyeego, nden bo tagdi go'o tan mawnata.
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1.236674
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Wɛ̈ɛ̈r dɛ̈t de cieeŋ Africa acï rot juak në ye thaar kën.
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Babe fere bo nder Afirka fu heɓi jahal yeeso haa wakkati man.
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1.23594
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Yekënë yenë kee wɛ̈t thöŋ keke 61 CD-ROM tënë ayi raan në run de 2007.
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Haala ɗo nanndi be 61 CD-ROM kala neɗɗo fuu nder hitannde 2007.
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1.235085
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Bɛ̈i juäc në yemɛɛn acïï puɔ̈ɔ̈r de mïïth tɔ̈c ke GMO ya puɔ̈l agonë rïthäc ya looi në mïïth tɔ̈c ke GMOs.
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Cemmbe leyɗe kaɗuɗe remugo tageefooji baylaaɗi e kuutira e maaji ngam wiɗitaago.
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1.23463
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Ku Wilkins acï gam bï looi naa cï Franklin jäl.: "
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"Kaani Wilkins jaɓii waɗdeɗum caggal yawtugol Franklin."""
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1.234326
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Në ruöön de 2009 yic, ke ka cïï dupiööc cɔl kek scientists bɛ̈n caal biyic man cïk kek gene tääu apath në agɔɔk yic (në kuan de agɔɔk cɔl kek 'marmosets') në doordeen tueeŋ yic.
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Nder hitaande 2009, anndanɓe kiimiiya mbi'i ɓe keɓii nasaraaku waɗango tageefooji mbi'etee-ɗi marmosets wondi tagdi, ko meɗaakano sam.
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1.23389
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Along paan Scotland cok tedic pan aher ake ci gam ke juec.
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Haa Scotland, ma'ana labbaje feere ɗo naftira.
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1.233713
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Acï bɛ̈n lueel ke nyïïr acuek, cɔl kek Lulu ku jɔl ya Nana, aake cï kek dhiëëth në wiik lik cï ya tëëk yiic wënthɛɛr.
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Owi'I siwtaaɓe mbi'eteeɓe Lulu e Nana, danyaama asaweeje seɗɗa ƴaɓɓiiɗe.
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1.233424
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Piööc de thok ee röt looi arëtic apɛi në thɛɛr ke dït de meth tën raan.
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Jannguki ɗenngal e waɗe ɗuudal fuuh sarbere nde tagu won baccaaku.
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1.232643
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Ënuɔɔr de kämpänï kän acie bɛɛr looi paan de UK, ana cɔk kä yenëke yen looi ya ŋoot ëke tɔ̈ në akäl käl.
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Iri tiggol ɗo waɗatako to leydi UK, be wiigo sheri'ah hokkiɓe dama tiggugo.
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1.232497
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Akëc tɛ̈n ëluɔɔi ɣɛn yen bɛ̈n nhiaar apɛi.
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Ɓe yiɗaa no o hoosata footo man.
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1.232457
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Brando acï bɛ̈n tiɛ̈m apɛi në kɛ̈ɛ̈ɛr de käŋ ku ka cï bɛ̈n tiɛ̈m ëyadɛ̈ në thukulic.
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Brando heɓi jahalgal yeeso ha fiiji fijirle filmji bee jahal yeeso haa njangirde.
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1.232436
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Në ruɔnde 1913, go bɛn jɔl gaam bi ya lui ɣanke pilïïm ɣiic.
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Hittande 1913, o fellitino gollodade e onn mogo taan.
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1.232377
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Dupuöny cɔl 'physicist' ee puɔ̈ɔ̈c dɛ̈t dïït peei ya wïc bï juak thïn ago puɔ̈ɔ̈c kän ya kuanycök apath.
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Physicjo yiɗay ɓeydaari eltudi njaadoori e fannuwol maako.
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1.23221
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Ye kë kën akɔnë tïŋ run 1960s, ku tën bïï yen thïn aŋot ke këc deetic apuɔth.
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Nde'e nokkuure leppaanooma nder 1960s, sey nii asngal maare faa jooni heptaakan.
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1.23198
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Akuut prokaryotes aa kor apei ku leeu ke yiic apei.
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Ginom hon purokariyo en den famari, deddaade, bou feere-feere.
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1.231358
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Në raan ë gɔ̈t yen (raan ë gäär athör)?
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Moi jo on hoosi teddega (bindoowo deftere)?
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1.230753
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Töŋ de wël tueeŋ në tän de ke lööŋ käkë ee nab bï GM cï cak ya gɔ̈t kɔ̈u ago lac ya ŋic në käŋ yiic.
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Nder ko wannani ngaɗooɓe dookaji e woodi haala winndugo ngam ɗum hefta dow tageefooji baylaaɗi yo bayla.
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1.230623
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Läkïn, tän cen ye luɔi thïn ku luɔi garden ye luɔ̈i ye kɔ̈lë jɔldït ajɔ̈ɔ̈k rɔt runë 15th ë buɔtic.
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Fuu e non, nootason elkitooɗum e tinndinteeɗum min naftirta jooni wanngu nder fuɗɗoode hitaande teemerre 15.
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1.23047
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Akuɔ̈c man benë ye nyuɔɔth në cinema yic.
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Mi meeɗai tammugo ɓe hollan ɗum ha fijirle silma.
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1.230288
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Tëëk benë taxon ya tɛ̈ɛ̈k yic në käjuëc, man ye ya kä yam në nyindhiɛ, taxa aye cɔl kë ye käŋ tɛ̈ɛ̈k yiic.
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Dun don nodda feccuki tagzon hon nder fecce duudde, tagzon kesi, e sipilitin.
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1.230277
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45 Go kɔc juëc Itharel cï bɛ̈n bïk Maria bɛ̈n neem, kë cï Jethu looi tïŋ, ku gamkë wɛ̈tde.
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45 Ɗuɗɓe nder Yahuudanko'en garduɓe e Maryaama gi'uɓe ko Yeesu waɗi, ɓe kooliimo.
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1.230064
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Aake ye riɔ̈ɔ̈c apɛi paan de Weimar Republic.
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Ɓe kastoɓe nder lardiwol Weimer.
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1.230036
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13 Na loi miëth cɔɔl yïn kɔc, ke cɔl ke kɔc ŋɔ̈ŋ, ku kɔc cï duany, ku kɔc cï ŋɔl ku cöör,
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13 Ammaa to a waɗi nyaamdu juulde, ewna talaka'en e wuustuɓe e woosɓe e wumɓe.
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1.229903
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Ëyadɛ̈, wɛ̈t kän aye thɔ̈ɔ̈ŋ kënë raan töŋ ye bɛ̈n ɣön de puɔ̈ɔ̈c miäkduur.
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faa hannden, yo fenande hoore muuɗum, miijude keh yo no neɗɗo woorrunoo ko naatannoo subaka oo ley suudu janngirdu nii nih woorii fahin.
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1.229783
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Raan cɔl Davies (në ruöön de 2008) acï jam në lööŋ bënëke ya jam në kee lööŋ käkë yiic.
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Davies (2008) kanko wurtinii laabi ɗi o yi'ata haandi tokkee ngam hoytingo batte ɗen.
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1.229474
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Akïïm kaa 33 ye rïthäc looi tënë ɣän juëc yiic, acï kek bɛ̈n thiëëc thook në puɔ̈ɔ̈c de 2008 cï looi.
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Lincitooɓe kuugal jamu 33 diga inaaje ferɗootirɗe hirdaama nder njande gonde e 2008.
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1.229268
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Puɔ̈ɔ̈c de Keynesian economics anɔŋ kɔc kaarou cï yen ya kuanycök.
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Jannguɗo moftal-jawdi mo Keynsia mari donooɓe ɗidi.
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1.229081
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Kɔc aanɔŋ kä cïk kek looi wënthɛɛr ëke ye dhɔ̈l tueeŋ benëke GNR revolution ya luɔɔi thïn.
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Aadamano'en yaarigaa waɗii goɗɗum daga nder jaɓle artuɗe yaago heɓuki GNR hoyyorowo.
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1.228492
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Run ke 20th century aa cenëke käjuëc bɛ̈n looi thïn apɛi.
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Karnuwol 20th waddii titooje ɗuuɗɗe masin.
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1.2274
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Ku na yïn ya, puɔ̈ɔ̈c de macroevolution, aciëëk kedhiɛ ke species alëu bïk yiic ya thiek kedhiɛ.
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Seini bou, nder makroevolushon, gikkuuji muminteeji din fat waawai wartuki nafoodum.
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1.227357
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49 Go kɔc awën mïth kek ye aa jiɛɛm wei ku yekë lueel ëlä, "Yeŋa kënë jam lɔn ë yen adumuɔ̈ɔ̈m päl piny?"
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49 Nyaamdooɓe e makko ɓeen puɗɗi ƴamundurde hakkunde muɓɓen: "Moy woni o neɗɗo, jottiiɗo faa yaafaade hakkeeji?"
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1.227035
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Abak ciëën ɣöt anɔŋ thoŋ yen lɔthïn.
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Sooɓoodu horɗooreero suudu ndun na woodi damal.
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1.226905
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Në yemɛɛn, ke luɔɔi de germline modification acï kuum në bɛ̈I kaa 40 yiic.
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E jooni, waylugo tagdi goddooji nyaw haɗaama to leyve 40.
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1.226731
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16 Wɛ̈t yic alɛ̈k we, acïn alony dït tënë bänyde, ku acïn atuny dït tënë raan toc ye.
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16 E mi wi'a'on goonga, walaa maccuɗo ɓurɗo jeyɗomo, nden walaa lilaaɗo ɓurɗo lilɗomo.
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1.225954
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Acï bɛ̈n wu akutnhom de piny ëbën awïc bï kuany ago kä wïc kek kedhiɛ dhil ya tɔ̈ɔ̈u ku bï pinynhom gäm dɔ̈ɔ̈r.
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O wi'i woodi haaje mottare lesɗe ngam tabbitinki jonnde jam
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1.225346
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Aye tɔ̈ ke ye raan cï puɔ̈ɔ̈c de mechanical engineer ya looi ku ye raan ŋic apɛi në kë de puɔ̈ɔ̈c ë Physics.
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O heɓiino daama waawuki mechanical engineer kadin physicistjo annduɗo masin.
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1.225328
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Në yekënë nhom ëyadɛ̈, ke kɔc ke pinynhom kedhiɛ aacie thöŋ kenë dupiööc cɔl kek 'scientists' man ye kuïïn ke GM yök ëke piath.
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Ɓurnaa maa, member'en huuɓaare ba'a bana kiimiiyanku'en to heptuki nyaamnduuji GM yo kisndamji.
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1.224889
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Yeeŋö ye tän kë ye cɔl dark matter ku dark energy?
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Ko woni neesu huunde ɓaleere e semmbe ɓalejum.
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1.224599
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Në puɔ̈ɔ̈c de tiim yiic, ye cɔl 'botany', ke akuɔ̈tnhïïm cɔl kek classes aacïï kek ye bɛɛr lac jaamic në yemɛɛn.
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Nder botani, jooni dun wolwata haala ajihon soosai.
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1.224076
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Ɣän juëc physics aapuɔth apɛi tën kuɛ̈n pinynhom.
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Fannuuji ɗuuɗɗi ɗi Physics e mari saman to annduki adunaaru.
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1.224073
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20 "Ɣɛn acïï rɔ̈ɔ̈k riɛnken röt, ɣɛn arɔ̈ɔ̈k aya rin kɔc bï gam rin piɔ̈ɔ̈cden.
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20 "Naa' kamɓe tan ngaɗanaymi do'aare, ammaa fuu e ɓen ɗon koolotooɓeyam laawol wa'aju maɓɓe.
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1.224028
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Në run juäc cï tëëk yiic, ke käm 'bacteria' aacenëke ya luui në kek në ɣän ke puɔ̈ɔ̈r yiic.
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Tageefooji bacteria neeɓi e kuutiree e faannde ndemal e ndurngol.
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1.223984
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Wɛ̈t thiin lëu benë ye wɛ̈t kän ye nyuɔ̈th kɔc ee të dhukë raan nambaai yiic.
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Misaalu koyɗun hanjun wonte hanjum wonte ninkaaki
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1.223633
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Thïëëkde aacïï banë tɔ agut thaa jɔl yen thou.
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Dewgal ηal waɗɗi ha nde o sankki
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1.223599
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41 Go kɔc kɔ̈k juëc wɛ̈tde jäl gam rin wël ye lɛ̈k ke,
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41 Yimɓe kooliiɓe Yeesu ɓeydii naa' seɗɗa ngam boliiɗe maako.
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1.223462
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Na yïn ya, ke ka ye dek apɛi ë määu ku ka ye lac bɛ̈i baai ke cï muɔ̈l apɛi në Chicago.
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Sai ni, o ɗuuɗi wuykugo, ɓurna wakkati fu, sai toh ngoriiko wartiri saare iga babe njarol mbal nder galluure Chicago.
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1.223435
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Käke pol juëc bukku ke kueen, yenë kee piath.
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Soni anndal ngal lugginaama fu, paamu
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1.223145
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TALEN ku jɔl ya CRISPR kek aye käŋ kaarou yenëke lac luui në kek ku töŋ de kek ee naŋ käpath ke.
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E TALEN e CRISPR kanjum ɓuri huutireego boo kooɗume nder maajum e woodi ko ɓurdi banndum.
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1.22299
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Loilooi cï kek ya looi kedhiɛ ku cïk piath aye kek kony ë wëu në kaam de run kaadhiëc ku ka benë run kɔ̈k peei bɛɛr ya thaany cök.
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Cuɓaaɓe nder tefuɓe kuugal ngal fuu yo kokketeeɓe ngal kadi boo njoɓee haa yaago duuɓi jowi boo ɓe ɓesdantaake sey to ɓe daɗii tefooɓe luttuɓe.
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1.222944
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Nïye kan aa le bennë polynomials, gɔɔr citmaande,
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Ngam non ɓe mbinnday ɗuuɗa coɓɓuliije, misaalu, bano.
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1.222396
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Kä ye tïk ke piny aye kek gam ëmɛɛn ë ke ye 4.9 bɔɔtic them den abɛ̈n.
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Fiiji winndere gi'eteeɗi jooni saalaaki 4.9% nder teddeende winndere nden nde fuu.
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1.222093
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Kaam de Lunar acï bɛ̈n ya kuanycök në raan ëbën të ɣɔn cenë ruöön de 1790 thok thök.
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moobgal naftoraaq ndaayirka lebbi fuddi naftoreego baawo hirtaande 1790.
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1.222072
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Anɔŋ, kɛ̈k tɔ̈, në ɣän kɔ̈k, thɛɛr ke la tueŋ ke tëët lac rot loi.
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Ɗon no, yaake fere nder nokkuuji fere, ɓe heɓi jaawal ɓamtal be anndal fasaahaaku.
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1.222058
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Acïn akutnhom ye yaa tök wala dɛ̈të.
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Wala kala motta laatii ka goota ko luttaano.
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1.221885
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Kän yenëke tän de kɔc naŋ nhiɛ̈ɛ̈r de kä ke pinynhom, man ye kek cɔlë 'materialistic determinists.
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Hanjun wonte dow yimɓe ɓurɓe yiki hoore maɓɓe.
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1.221854
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Ku ye yïŋa paan ë ma?"
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O ?ami: "Kaŋko woni minyiraawo mon, mo mbi'ɗonɗam haala mum na?"
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in Data Studio
Dinka-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: Dinka-Fulah_Sentence-Pairs
- Number of Rows: 38360
- Number of Columns: 3
- Columns: score, Dinka, 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).Dinka: 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:
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Number of rows:
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