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Supersense Tagging for Arabic: the MT-in-the-Middle Attack.

, , , , and . HLT-NAACL, page 661-667. The Association for Computational Linguistics, (2013)

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Improving Phrase-Based Translation with Prototypes of Short Phrases., , and . HLT-NAACL, page 301-304. The Association for Computational Linguistics, (2010)Stemming and its effects on TFIDF ranking., , and . SIGIR, page 357-359. ACM, (2000)Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic., , and . LREC, page 873-877. European Language Resources Association (ELRA), (2012)Using Variable Decoding Weight for Language Model in Statistical Machine Translation., , and . AMTA, Association for Machine Translation in the Americas, (2010)Syntax-based Semi-Supervised Named Entity Tagging., and . ACL, page 57-60. The Association for Computer Linguistics, (2005)Localization of Difficult-to-Translate Phrases., and . WMT@ACL, page 248-255. Association for Computational Linguistics, (2007)Semantic Extraction with Wide-Coverage Lexical Resources., and . HLT-NAACL, The Association for Computational Linguistics, (2003)Language Model Adaptation for Difficult to Translate Phrases., , and . EAMT, European Association for Machine Translation, (2009)Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study., , , and . ACL (2), page 253-258. The Association for Computer Linguistics, (2012)Supersense Tagging for Arabic: the MT-in-the-Middle Attack., , , , and . HLT-NAACL, page 661-667. The Association for Computational Linguistics, (2013)