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

David Ifeoluwa AdelaniJesujoba O. AlabiAngela FanJulia KreutzerXiaoyu ShenMachel ReidDana RuiterDietrich KlakowPeter NabendeErnie ChangTajuddeen GwadabeFreshia SackeyBonaventure F. P. DossouChris EmezueColin LeongMichael BeukmanShamsuddeen Hassan MuhammadGuyo Dub JarsoOreen YousufAndre Niyongabo RubungoGilles HachemeEric Peter WairagalaMuhammad Umair NasirBenjamin AjibadeTunde AjayiYvonne Wambui GitauJade Z. AbbottMohamed AhmedMillicent OchiengAremu AnuoluwapoPerez OgayoJonathan MukiibiFatoumata Ouoba KaboreGodson KalipeDerguene MbayeAllahsera Auguste TapoVictoire Memdjokam KoagneEdwin Munkoh-BuabengValencia WagnerIdris AbdulmuminAyodele AwokoyaHappy BuzaabaBlessing SibandaAndiswa BukulaSam Manthalu
Published in: NAACL-HLT (2022)
Keyphrases
  • pre trained
  • machine translation
  • data sets
  • neural network
  • real time
  • feature extraction
  • statistical model
  • machine translation system