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NRC Russian-English Machine Translation System for WMT 2016.

, , , , , , and . WMT, page 326-332. The Association for Computer Linguistics, (2016)

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Speech Translation with Grammar Driven Probabilistic Phrasal Bilexica Extraction., , , and . INTERSPEECH, page 2089-2092. ISCA, (2011)HKUST statistical machine translation experiments for IWSLT 2007., , , and . IWSLT, page 84-88. ISCA, (2007)CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity., , and . SemEval@NAACL-HLT, page 668-673. The Association for Computer Linguistics, (2016)MEANT 2.0: Accurate semantic MT evaluation for any output language.. WMT, page 589-597. Association for Computational Linguistics, (2017)Fully Automatic Semantic MT Evaluation., , and . WMT@NAACL-HLT, page 243-252. The Association for Computer Linguistics, (2012)978-1-937284-20-6.Lexical Access Preference and Constraint Strategies for Improving Multiword Expression Association within Semantic MT Evaluation., , and . CogALex@COLING, page 144-153. Association for Computational Linguistics and Dublin City University, (2014)MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles., and . ACL, page 220-229. The Association for Computer Linguistics, (2011)NRC Parallel Corpus Filtering System for WMT 2019., and . WMT (3), page 252-260. Association for Computational Linguistics, (2019)BiMEANT: Integrating Cross-Lingual and Monolingual Semantic Frame Similarities in the MEANT Semantic MT Evaluation Metric., and . SLSP, volume 8791 of Lecture Notes in Computer Science, page 82-93. Springer, (2014)Accuracy and robustness in measuring the lexical similarity of semantic role fillers for automatic semantic MT evaluation., , and . PACLIC, page 574-581. PACLIC 26 Organizing Committee and PACLIC Steering Committee / ACL / Faculty of Computer Science, Universitas Indonesia, (2012)