High-performance, language-independent morphological segmentation

NAACL HLT 2007 - Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2007, Pages 155-163

  Dasgupta, Sajib ^a   Ng, Vincent ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; MORPHOLOGICAL COMPLEXITY; MORPHOLOGICAL SEGMENTATION; ROBUST PERFORMANCE;

COMPUTATIONAL LINGUISTICS;

IMAGE SEGMENTATION;

EID: 35548936711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. R. H. Baayen, R. Piepenbrock and L. Gulikers. 1996. The CELEX2 lexical database (CD-ROM), LDC, Univ of Pennsylvania, Philadephia, PA.
2. D. Bernhard. 2006. Unsupervised morphological segmentation based on segment predictability and word segment alignment. In PASCAL Challenge Workshop on Unsupervised Segmentation of Words into Morphemes.
3. M. R. Brent, S. K. Murthy and A. Lundberg. 1995. Discovering morphemic suffixes: A case study in minimum description length induction. In Proceedings of the Fifth International Workshop on AI and Statistics.
4. M. Creutz. 2003. Unsupervised segmentation of words using prior distributions of morph length and frequency. In Proceedings of the ACL, pages 280-287.
5. M. Creutz and K. Lagus. 2005. Unsupervised morpheme segmentation and morphology induction from text corpora using Morfessor 1.0. In Computer and Information Science, Report A81, Helsinki University of Technology.
6. S. Dasgupta and V. Ng. 2007. Unsupervised word segmentation for Bangla. In Proceedings of ICON, pages 15-24.
7. H. DéJean. 1998. Morphemes as necessary concepts for structures discovery from untagged corpora. In Workshop on Paradigms and Grounding in Natural Language Learning, pages 295-299.
8. D. Freitag. 2005. Morphology induction from term clusters. In Proceedings of CoNLL, pages 128-135.
9. J. Goldsmith. 2001. Unsupervised learning of the morphology of a natural language. In Computational Linguistics 27(2), pages 153-198.
10. Z. Harris. 1955. From phoneme to morpheme. In Language, 31(2): 190-222.
11. S. Keshava and E. Pitler. 2006. A simpler, intuitive approach to morpheme induction. In PASCAL Challenge Workshop on Unsupervised Segmentation of Words into Morphemes.
12. K. Koskenniemi. 1983. Two-level morphology: a general computational model for word-form recognition and production. Publication No. 11. Helsinki: University of Helsinki Department of General Linguistics.
13. P. Schone and D. Jurafsky. 2001. Knowledge-free induction of inflectional morphologies. In Proceedings of the NAACL, pages 183-191.
14. M. G. Snover and M. R. Brent. 2001. A Bayesian model for morpheme and paradigm identification. In Proceedings of the ACL, pages 482-490.
15. D. Yarowsky and R. Wicentowski. 2000. Minimally supervised morphological analysis by multimodal alignment. In Proceedings of the ACL, pages 207-216.