A probabilistic model for learning concatenative morphology

Advances in Neural Information Processing Systems

Volumn , Issue , 2003, Pages

  Snover, Matthew G ^a   Brent, Michael R ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECTED SEARCHES; HILL CLIMBING; HILL CLIMBING ALGORITHMS; PROBABILISTIC MODELING; PROBABILITY MODELING; QUANTITATIVE RESULT; WORD LISTS;

MORPHOLOGY;

EID: 84899019621     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Éric. Gaussier. 1999. Unsupervised learning of derivational morphology from inflectional lexicons. In ACL '99 Workshop Proceedings: Unsupervised Learning in Natural Language Processing. ACL.
2. Michael R. Brent. 1993. Minimal generative models: A middle ground between neurons and triggers. In Proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Laudersdale, FL.
3. Michael R. Brent, Sreerama K. Murthy, and Andrew Lundberg. 1995. Discovering morphemic suffixes: A case study in minimum description length induction. In Proceedings of the 15th Annual Conference of the Cognitive Science Society, pages 28-36, Hillsdale, NJ. Erlbaum.
4. John Goldsmith. 2001. Unsupervised learning of the morphology of a natural language. Computational Linguistics, 27: 153-198.
5. Matthew G. Snover and Michael R. Brent. 2001. A Bayesian Model for Morpheme and Paradigm Identification. In Proceedings of the 39th Annual Meeting of the ACL, pages 482-490. ACL.