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A Minimally Supervised Approach for Synonym Extraction with Word Embeddings.

, , , and . Prague Bull. Math. Linguistics, (2016)

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Neural machine translation for low-resource languages without parallel corpora., , and . Mach. Transl., 32 (1-2): 167-189 (2018)Massively Multilingual Neural Grapheme-to-Phoneme Conversion., , and . CoRR, (2017)A Minimally Supervised Approach for Synonym Extraction with Word Embeddings., , , and . Prague Bull. Math. Linguistics, (2016)The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction., , and . NUT@EMNLP, page 68-76. Association for Computational Linguistics, (2017)Using Related Languages to Enhance Statistical Language Models., , and . SRW@HLT-NAACL, page 116-123. The Association for Computational Linguistics, (2016)BIRA: Improved Predictive Exchange Word Clustering., , and . HLT-NAACL, page 1169-1174. The Association for Computational Linguistics, (2016)A Minimally Supervised Approach for Synonym Extraction with Word Embeddings, , , and . The Prague Bulletin of Mathematical Linguistics, (April 2016)Scaling Up Word Clustering., , and . HLT-NAACL Demos, page 42-46. The Association for Computational Linguistics, (2016)An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation., , and . WAT, page 74-81. Workshop on Asian Translation, (2015)A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines., , , , , and . Prague Bull. Math. Linguistics, (2017)