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Pseudo-Supervised Clustering for Text Documents., , and . Web Intelligence, page 363-369. IEEE Computer Society, (2004)How good are your phrases? assessing phrase quality with single class classification., , , , and . IWSLT, page 261-268. ISCA, (2011)Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary., , , , and . CoRR, (2018)Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation., , and . RANLP, page 371-377. RANLP 2011 Organising Committee, (2011)ALTN: Word Alignment Features for Cross-lingual Textual Entailment., and . SemEval@NAACL-HLT, page 128-132. The Association for Computer Linguistics, (2013)Findings of the 2017 Conference on Machine Translation (WMT17)., , , , , , , , , and 6 other author(s). WMT, page 169-214. Association for Computational Linguistics, (2017)Learning Performance of a Machine Translation System: a Statistical and Computational Analysis., , and . WMT@ACL, page 35-43. Association for Computational Linguistics, (2008)Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances., , , , and . HLT-NAACL, page 714-724. The Association for Computational Linguistics, (2015)Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario., , , , and . EACL (2), page 280-284. Association for Computational Linguistics, (2017)Enhancing Transformer for End-to-end Speech-to-Text Translation., , , , and . MTSummit (1), page 21-31. European Association for Machine Translation, (2019)