Determining case in Arabic: Learning complex linguistic behavior requires complex linguistic features

EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

Volumn , Issue , 2007, Pages 1084-1092

  Habash, Nizar ^a   Gabbard, Ryan ^b   Rambow, Owen ^a   Kulick, Seth ^b   Marcus, Mitch ^b  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATION ERRORS; AUTOMATIC DETERMINATION; ERROR RATE; GOLD STANDARDS; LINGUISTIC FEATURES; SYNTACTIC TREES;

COMPUTATIONAL LINGUISTICS; ERROR ANALYSIS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 55649104405     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Ron Buckley. 2004. Modern Literary Arabic: A Reference Grammar. Librairie du Liban.
2. Tim Buckwalter. 2002. Buckwalter Arabic morphological analyzer version 1.0.
3. Michael Collins. 1997. Three Generative, Lexicalised Models for Statistical Parsing. In Proceedings of the 35th Annual Meeting of the ACL (jointly with the 8th Conference of the EACL), pages 16-23, Madrid, Spain.
4. Nizar Habash and Owen Rambow. 2007. Arabic Diacritization through Full Morphological Tagging. In Proceedings of the 8th Meeting of the North American Chapter of the Association for Computational Linguistics/Human Language Technologies Conference (HLTNAACL07).
5. Nizar Habash, Abdelhadi Soudi, and Tim Buckwalter. 2007. On Arabic Transliteration. In A. van den Bosch and A. Soudi, editors, Arabic Computational Morphology: Knowledge-based and Empirical Methods. Springer.
6. Clive Holes. 2004. Modern Arabic: Structures, Functions, and Varieties. Georgetown University Press. Revised Edition.
7. Mohamed Maamouri, Ann Bies, Tim Buckwalter, and Wigdan Mekki. 2004. The Penn Arabic Treebank : Building a Large-Scale Annotated Arabic Corpus. In NEMLAR Conference on Arabic Language Resources and Tools, pages 102-109, Cairo, Egypt.
8. Andrew Kachites McCallum. 2002. Mallet: A machine learning for language toolkit. http://mallet.cs.umass.edu.
9. Rani Nelken and Stuart Shieber. 2005. Arabic Diacritization Using Weighted Finite-State Transducers. In Proceedings of the Workshop on Computational Approaches to Semitic Languages at 43rd Meeting of the Association for Computational Linguistics (ACL'05), pages 79-86, Ann Arbor, Michigan.
10. Otakar Smrž and Jan Hajič. 2006. The Other Arabic Treebank: Prague Dependencies and Functions. In Ali Farghaly, editor, Arabic Computational Linguistics: Current Implementations. CSLI Publications.
11. Dimitra Vergyri and Katrin Kirchhoff. 2004. Automatic Diacritization of Arabic for Acoustic Modeling in Speech Recognition. In Ali Farghaly and Karine Megerdoomian, editors, COLING 2004 Workshop on Computational Approaches to Arabic Scriptbased Languages, pages 66-73, Geneva, Switzerland.
12. Imed Zitouni, Jeffrey S. Sorensen, and Ruhi Sarikaya. 2006. Maximum Entropy Based Restoration of Arabic Diacritics. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 577-584, Sydney, Australia.