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Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model
[article]
2021
arXiv
pre-print
Although many context-aware neural machine translation models have been proposed to incorporate contexts in translation, most of those models are trained end-to-end on parallel documents aligned in sentence-level. Because only a few domains (and language pairs) have such document-level parallel data, we cannot perform accurate context-aware translation in most domains. We therefore present a simple method to turn a sentence-level translation model into a context-aware model by incorporating a
arXiv:2010.12827v2
fatcat:z7hwi6seqbht7l4psovmyq4iem