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Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation.

, , , and . Prague Bull. Math. Linguistics, (2017)

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Evaluating Domain Adaptation for Machine Translation Across Scenarios., , , , and . LREC, European Language Resources Association (ELRA), (2018)Word's Vector Representations meet Machine Translation., , , and . SSST@EMNLP, page 132-134. Association for Computational Linguistics, (2014)Overview of TweetMT: A Shared Task on Machine Translation of Tweets at SEPLN 2015., , , , , , , , and . TweetMT@SEPLN, volume 1445 of CEUR Workshop Proceedings, page 8-19. CEUR-WS.org, (2015)TweetMT: A Parallel Microblog Corpus., , , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation., , , and . Prague Bull. Math. Linguistics, (2017)Cross-lingual semantic annotation of biomedical literature: experiments in Spanish and English., , , , , , and . Bioinform., 36 (6): 1872-1880 (2020)A light method for data generation: a combination of Markov Chains and Word Embeddings., , , and . Proces. del Leng. Natural, (2020)Extracting Parallel Sentences from Comparable Corpora with STACC Variants., , and . BUCC@LREC, European Language Resources Association, (2018)STACC, OOV Density and N-gram Saturation: Vicomtech's Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering., , and . WMT (shared task), page 860-866. Association for Computational Linguistics, (2018)Exploiting Relative Frequencies for Data Selection., , and . MTSummit (1), page 170-184. (2017)