acl acl2012 acl2012-202 acl2012-202-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Emad Mohamed ; Behrang Mohit ; Kemal Oflazer
Abstract: We present a method for generating Colloquial Egyptian Arabic (CEA) from morphologically disambiguated Modern Standard Arabic (MSA). When used in POS tagging, this process improves the accuracy from 73.24% to 86.84% on unseen CEA text, and reduces the percentage of out-ofvocabulary words from 28.98% to 16.66%. The process holds promise for any NLP task targeting the dialectal varieties of Arabic; e.g., this approach may provide a cheap way to leverage MSA data and morphological resources to create resources for colloquial Arabic to English machine translation. It can also considerably speed up the annotation of Arabic dialects.
Bies, Ann and Maamouri, Mohamed (2003). Penn Arabic Treebank guidelines. Technical report, LDC, University of Pennsylvania. Buckwalter, T. (2002). Arabic Morphological Analyzer (AraMorph). Version 1.0. Linguistic Data Consortium, catalog number LDC2002L49 and ISBN 1-58563257- 0 Daelemans, Walter and van den Bosch, Antal ( 2005). Memory Based Language Processing. Cambridge University Press. Daelemans, Walter; Zavrel, Jakub; Berck, Peter, and Steven Gillis (1996). MBT: A memory-based part of speech tagger-generator. In Eva Ejerhed and Ido Dagan, editors, Proceedings of the 4th Workshop on Very Large Corpora, pages 14–27, Copenhagen, Denmark. Diab, Mona; Habash, Nizar; Rambow, Owen; Altantawy, Mohamed, and Benajiba, Yassine. COLABA: Arabic Dialect Annotation and Processing. LREC 2010. Duh, K. and Kirchhoff, K. (2005). POS Tagging of Dialectal Arabic: A Minimally Supervised Approach. Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages, Ann Arbor, June 2005. Habash, Nizar; Rambow, Own and Kiraz, George (2005). Morphological analysis and generation for Arabic dialects. Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages, pages 17–24, Ann Arbor, June 2005 Habash, Nizar and Roth, Ryan. CATiB: The Columbia Arabic Treebank. Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 221–224, Singapore, 4 August 2009. c 2009 ACL and AFNLP Habash, Nizar, Owen Rambow and Ryan Roth. MADA+TOKAN: A Toolkit for Arabic Tokenization, Diacritization, Morphological Disambiguation, POS Tagging, Stemming and Lemmatization. In Proceedings of the 2nd International Conference on Arabic Language Resources and Tools (MEDAR), Cairo, Egypt, 2009 Kundu, Gourab abd Roth, Don (2011). Adapting Text instead of the Model: An Open Domain Approach. Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 229–237,Portland, Oregon, USA, 23–24 June 2011 Mohamed, Emad. and Kuebler, Sandra (2010). Is Arabic Part of Speech Tagging Feasible Without Word Segmentation? Proceedings of HLT-NAACL 2010, Los Angeles, CA. Stolcke, A. (2002). SRILM - an extensible language modeling toolkit. In Proc. of ICSLP, Denver, Colorado 180