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SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases., , and . SemEval@NAACL-HLT, page 42-51. The Association for Computer Linguistics, (2016)ADIDA: Automatic Dialect Identification for Arabic., , , and . NAACL-HLT (Demonstrations), page 6-11. Association for Computational Linguistics, (2019)Multiple System Combination for Transliteration., , , , , , and . NEWS@ACL, page 72-77. Association for Computational Linguistics, (2015)Transliteration Experiments on Chinese and Arabic., , and . NEWS@ACL, page 71-75. Association for Computational Linguistics, (2012)Cognate and Misspelling Features for Natural Language Identification., , , , and . BEA@NAACL-HLT, page 140-145. The Association for Computer Linguistics, (2013)978-1-937284-47-3.Reversing Morphological Tokenization in English-to-Arabic SMT., , and . HLT-NAACL, page 47-53. The Association for Computational Linguistics, (2013)Sentiment after Translation: A Case-Study on Arabic Social Media Posts., , and . HLT-NAACL, page 767-777. The Association for Computational Linguistics, (2015)SemEval-2018 Task 1: Affect in Tweets., , , and . SemEval@NAACL-HLT, page 1-17. Association for Computational Linguistics, (2018)Sentiment Lexicons for Arabic Social Media., , and . LREC, European Language Resources Association (ELRA), (2016)Lattice Desegmentation for Statistical Machine Translation., , and . ACL (1), page 100-110. The Association for Computer Linguistics, (2014)