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A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.

David Ifeoluwa AdelaniJesujoba Oluwadara AlabiAngela FanJulia KreutzerXiaoyu ShenMachel ReidDana RuiterDietrich KlakowPeter NabendeErnie ChangTajuddeen GwadabeFreshia SackeyBonaventure F. P. DossouChris Chinenye EmezueColin LeongMichael BeukmanShamsuddeen Hassan MuhammadGuyo Dub JarsoOreen YousufAndre Niyongabo RubungoGilles HachemeEric Peter WairagalaMuhammad Umair NasirBenjamin Ayoade AjibadeTunde Oluwaseyi AjayiYvonne Wambui GitauJade Z. AbbottMohamed AhmedMillicent OchiengAremu AnuoluwapoPerez OgayoJonathan MukiibiFatoumata Ouoba KaboreGodson Koffi KalipeDerguene MbayeAllahsera Auguste TapoVictoire Memdjokam KoagneEdwin Munkoh-BuabengValencia WagnerIdris AbdulmuminAyodele AwokoyaHappy BuzaabaBlessing SibandaAndiswa BukulaSam Manthalu
Published in: CoRR (2022)
Keyphrases
  • machine translation
  • pre trained
  • prior knowledge
  • probabilistic model
  • query translation
  • data sets
  • high resolution