Neural machine translation for hungarian

HIGHLIGHTS

  • who: from the e_g sentence pairing, noun recognition and question answeringIn terms of question answering tasks, mT5-XXL (largest model in the m, framework) achieved the highest performance. The m, project revealed that the framework in question can be successfully applied in a multilingual context and the models can achieve outstanding results in various reference tasks. m, includes Hungarian language as well, therefore, we applied the m, small and m, base models for machine translation in our research. M, : M , (Aharoni et_al, ) is a project in the Fairseq multilingual machine translation pipeline. The aim of multilingual machine . . .

     

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