Ағылшынша жапонша аударма

AbstractOne of the most important issues in the field of machine translation is evaluation of the translated sentences. This paper proposes a quantitative method of evaluation for machine translation systems. …...

AbstractThis paper presents a novel neural machine translation model which jointly learns translation and source-side latent graph representations of sentences. Unlike existing pipelined approaches using syntactic parsers, our end-to-end model …...

AbstractWe present a multi-task learning framework for cross-lingual abstractive summarization to augment training data. Recent studies constructed pseudo cross-lingual abstractive summarization data to train their neural encoder-decoders. Meanwhile, we introduce …...

AbstractThis paper describes the NTT-Tohoku-TokyoTech-RIKEN (NT5) team’s submission system for the WMT’22 general translation task. This year, we focused on the English-to-Japanese and Japanese-to-English translation tracks. Our submission system consists …...