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Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation.

, , and . NMT@ACL, page 69-79. Association for Computational Linguistics, (2017)

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Filtering and routing multilingual documents for translation., , and . CISDA, page 1-7. IEEE, (2012)FUN-NRC: Paraphrase-augmented Phrase-based SMT Systems for NTCIR-10 PatentMT., and . NTCIR, National Institute of Informatics (NII), (2013)Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation., , and . NAACL-HLT (1), page 442-448. Association for Computational Linguistics, (2019)The NRC System for Discriminating Similar Languages., , and . VarDial@COLING, page 139-145. Association for Computational Linguistics and Dublin City University, (2014)Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation., , and . NMT@ACL, page 69-79. Association for Computational Linguistics, (2017)Identifying Concepts Across Languages: A First Step towards a Corpus-based Approach to Automatic Ontology Alignment., , and . COLING, (2002)Improving Arabic-to-English Statistical Machine Translation by Reordering Post-Verbal Subjects for Alignment., , and . ACL (Short Papers), page 178-183. The Association for Computer Linguistics, (2010)Controlling Neural Machine Translation Formality with Synthetic Supervision., and . CoRR, (2019)Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation., and . EMNLP/IJCNLP (1), page 5284-5295. Association for Computational Linguistics, (2019)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , and . CoRR, (2018)