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Edinburgh's Machine Translation Systems for European Language Pairs.

, , , and . WMT@ACL, page 114-121. The Association for Computer Linguistics, (2013)

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Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks., , , , , and . CoRR, (2018)Machine Translation Approaches and Survey for Indian Languages., , and . CoRR, (2017)Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement., , , , , , and . HLT-NAACL, page 1082-1088. The Association for Computational Linguistics, (2016)EU-BRIDGE MT: Combined Machine Translation., , , , , , , , , and 3 other author(s). WMT@ACL, page 105-113. The Association for Computer Linguistics, (2014)QCMUQ$@$QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction., , , and . ANLP@ACL, page 144-149. Association for Computational Linguistics, (2015)Neural Machine Translation Training in a Multi-Domain Scenario., , , , and . CoRR, (2017)Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015., , , , , , , , and . CoRR, (2016)Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13., , , , and . WMT@ACL, page 122-127. The Association for Computer Linguistics, (2013)Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation., , , and . NAACL-HLT (2), page 493-499. Association for Computational Linguistics, (2018)Investigating the Usefulness of Generalized Word Representations in SMT., , , and . COLING, page 421-432. ACL, (2014)