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Modeling Inflection and Word-Formation in SMT.

, , , and . EACL, page 664-674. The Association for Computer Linguistics, (2012)

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Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation., and . CoRR, (2020)Rich Bitext Projection Features for Parse Reranking., , and . EACL, page 282-290. The Association for Computer Linguistics, (2009)Producing Unseen Morphological Variants in Statistical Machine Translation., , , and . EACL (2), page 369-375. Association for Computational Linguistics, (2017)HimL: Health in my language., and . EAMT (Projects/Products), Baltic Journal of Modern Computing, (2016)Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19., and . WMT (2), page 400-406. Association for Computational Linguistics, (2019)The LMU Munich Unsupervised Machine Translation System for WMT19., , , and . WMT (2), page 393-399. Association for Computational Linguistics, (2019)LMU Munich's Neural Machine Translation Systems at WMT 2018., , , and . WMT (shared task), page 648-654. Association for Computational Linguistics, (2018)LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020., , , and . BUCC@LREC, page 49-55. European Language Resources Association, (2020)Better OOV Translation with Bilingual Terminology Mining., , and . ACL (1), page 5809-5815. Association for Computational Linguistics, (2019)Modeling Word Formation in English-German Neural Machine Translation., and . ACL, page 4227-4232. Association for Computational Linguistics, (2020)