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Corpora for Document-Level Neural Machine Translation
2020
International Conference on Language Resources and Evaluation
Instead of translating sentences in isolation, document-level machine translation aims to capture discourse dependencies across sentences by considering a document as a whole. In recent years, there have been more interests in modelling larger context for the state-of-the-art neural machine translation (NMT). Although various document-level NMT models have shown significant improvements, there nonetheless exist three main problems: 1) compared with sentence-level translation tasks, the data for
dblp:conf/lrec/LiuZ20
fatcat:36nsgsllajd7pjzctz3pd5l6ni