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Improved Named Entity Recognition using Machine Translation-based Cross-lingual Information.

, and . Computación y Sistemas, 20 (3): 495-504 (2016)

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Matrex: the DCU machine translation system for IWSLT 2007., , and . IWSLT, page 69-75. ISCA, (2007)The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task., , , , , and . WMT@ACL, page 136-141. The Association for Computer Linguistics, (2014)Improved Named Entity Recognition using Machine Translation-based Cross-lingual Information., and . Computación y Sistemas, 20 (3): 495-504 (2016)Improved Chinese-English SMT with Chinese "DE" Construction Classification and Reordering., and . ACM Trans. Asian Lang. Inf. Process., 10 (4): 17:1-17:22 (2011)Efficient accurate syntactic direct translation models: one tree at a time., , and . Machine Translation, 26 (1-2): 121-136 (2012)Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems., , , , , and . Machine Translation, 32 (3): 255-278 (2018)FaDA: Fast Document Aligner using Word Embedding., , , , and . Prague Bull. Math. Linguistics, (2016)Transformation and Decomposition for Efficiently Implementing and Improving Dependency-to-String Model In Moses., , , and . SSST@EMNLP, page 122-131. Association for Computational Linguistics, (2014)Combining EBMT, SMT, TM and IR Technologies for Quality and Scale., , , and . ESIRMT/HyTra@EACL, page 48-58. Association for Computational Linguistics, (2012)Pinyin as Subword Unit for Chinese-Sourced Neural Machine Translation., and . AICS, volume 2086 of CEUR Workshop Proceedings, page 89-101. CEUR-WS.org, (2017)