Unsupervised learning of arabic stemming using a parallel corpus

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2003-July, Issue , 2003, Pages

  Rogati, Monica ^a   McCarley, Scott ^b   Yang, Yiming ^a  

^a Carnegie Mellon University   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; LEARNING ALGORITHMS; MACHINE TRANSLATION; NATURAL LANGUAGE PROCESSING SYSTEMS;

ARABIC INFORMATION RETRIEVAL; ARABIC STEMMING; LEARNING APPROACH; PARALLEL CORPORA; PARALLEL TEXT; STATE OF THE ART; STATISTICAL MACHINE TRANSLATION; TASK-BASED; TRAINING PHASIS; UNANNOTATED TEXTS;

UNSUPERVISED LEARNING;

EID: 85149133100     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. P. Brown, S. Della Pietra, V. Della Pietra, and R. Mercer. 1993. The mathematics of machine translation: Parameter estimation. In Computational Linguistics, pages 263-311.
2. Tim Buckwalter. 1999. Buckwalter transliteration. http://www.cis.upenn.edu/∼cis639/arabic/info/translitchart.html.
3. Alexander Clark. 2001. Learning morphology with pair hidden markov models. In ACL (Companion Volume), pages 55-60.
4. Mona Diab and Philip Resnik. 2002. An unsupervised method for word sense tagging using parallel corpora. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 255-262, July.
5. John Goldsmith. 2001. Unsupervised learning of the morphology of a natural language. In Computational Linguistics.
6. Leah Larkey, Lisa Ballesteros, and Margaret Connell. Improving stemming for arabic information retrieval: Light stemming and co-occurrence analysis. In SIGIR 2002, pages 275-282.
7. Young-Suk Lee, Kishore Papineni, Salim Roukos, Ossama Emam, and Hany Hassan. Language model based arabic word segmentation. In To appear in ACL 2003.
8. Patrick Schone and Daniel Jurafsky. Knowledge-free induction of morphology using latent semantic analysis. In 4th Conference on Computational Natural Language Learning, Lisbon, 2000.
9. Matthew Snover. 2002. An unsupervised knowledge free algorithm for the learning of morphology in natural languages. Master's thesis, Washington University, May.
10. David Yarowsky, Grace Ngai, and Richard Wicentowski. 2000. Inducing multilingual text analysis tools via robust projection across aligned corpora.