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Building a Corpus for Palestinian Arabic: a Preliminary Study., , , and . ANLP@EMNLP, page 18-27. Association for Computational Linguistics, (2014)Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic., and . EMNLP, page 704-713. Association for Computational Linguistics, (2017)Addressing Noise in Multidialectal Word Embeddings., , and . ACL (2), page 558-565. Association for Computational Linguistics, (2018)A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages., , , , and . EACL (2), page 235-241. Association for Computational Linguistics, (2017)Noise-Robust Morphological Disambiguation for Dialectal Arabic., , and . NAACL-HLT, page 953-964. Association for Computational Linguistics, (2018)Analysis of Foreign Language Teaching Methods: An Automatic Readability Approach., , and . NLP-TEA@COLING, page 122-130. The COLING 2016 Organizing Committee, (2016)YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer., , and . COLING (Demos), page 223-227. ACL, (2016)Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models., , and . EMNLP, page 837-843. Association for Computational Linguistics, (2018)Unified Guidelines and Resources for Arabic Dialect Orthography., , , , , , , , , and 7 other author(s). LREC, European Language Resources Association (ELRA), (2018)Multidimensional community detection in Twitter., and . ICITST, page 83-88. IEEE, (2013)