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When Does Translation Require Context? A Data-driven, Multilingual Exploration
[article]
2021
arXiv
pre-print
Although proper handling of discourse phenomena significantly contributes to the quality of machine translation (MT), common translation quality metrics do not adequately capture them. Recent works in context-aware MT attempt to target a small set of these phenomena during evaluation. In this paper, we propose a new metric, P-CXMI, which allows us to identify translations that require context systematically and confirm the difficulty of previously studied phenomena as well as uncover new ones
arXiv:2109.07446v1
fatcat:j3pzxx3df5byzgvxfsssfv4cky