ParaMor: Finding paradigms across morphology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5152 LNCS, Issue , 2008, Pages 900-907

  Monson, Christian ^a   Carbonell, Jaime ^a   Lavie, Alon ^a   Levin, Lori ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

Paradigms; Unsupervised Natural Language Morphology Induction

Indexed keywords

ARTIFICIAL INTELLIGENCE; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

INDUCTION ALGORITHMS; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; PARADIGMS; PRECISION AND RECALL;

MORPHOLOGY;

EID: 70349837946     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85760-0_115     Document Type: Conference Paper

References (15)

1. Altun, Y., Johnson, M.: Inducing SFA with °-Transitions Using Minimum Description Length. In: Finite State Methods in Natural Language Processing Workshop at ESSLLI., Helsinki, Finland (2001)
2. Brent, M.R., Murthy, S.K., Lundberg, A.: Discovering Morphemic Suffixes: A Case Study in MDL Induction. In: The Fifth International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, Florida (1995)
3. Burnage, G.: Celex-A Guide for Users. Springer, Centre for Lexical information, Nijmegen, The Netherlands (1990)
4. Creutz, M.: Morpho project ( May 31, 2007), http://www.cis.hut.fi/ projects/morpho/
5. Creutz, M.: Induction of the Morphology of Natural Language: Unsupervised Morpheme Segmentation with Application to Automatic Speech Recognition. Ph.D. Thesis. Computer and Information Science, Report D13. Helsinki: University of Technology, Espoo, Finland (2006)
6. Demberg, V.: A Language-Independent Unsupervised Model for Morphological Segmentation. Association for Computational Linguistics, Prague (2007)
7. Goldsmith, J.: Unsupervised Learning of the Morphology of a Natural Language. Computational Linguistics 27(2), 153-198 (2001)
8. Hafer, M.A., Weiss, S.F.: Word Segmentation by Letter Successor Varieties. Information Storage and Retrieval 10(11/12), 371-385 (1974)
9. Harris, Z.: From Phoneme to Morpheme. Language 31(2), 190-222 (1955); Reprinted in Harris (1970)
10. Harris, Z.: Papers in Structural and Transformational Linguists. D. Reidel, Dordrecht (1970)
11. Johnson, H., Martin, J.: Unsupervised Learning of Morphology for English and Inuktitut. In: Human Language Technology Conference / North American Chapter of the Association for Computational Linguistics, Edmonton, Canada (2003)
12. Kurimo, M., Creutz, M., Varjokallio, M.: Morpho Challenge Evaluation Using a Linguistic Gold Standard. In: Proceedings of the CLEF 2007 Workshop. Springer, Heidelberg (2008)
13. Monson, C., Carbonell, J., Lavie, A., Levin, L.: ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis. In: Computing and Historical Phonology: The Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology, Prague, Czech Republic (2007)
14. Snover, M.G.: An Unsupervised Knowledge Free Algorithm for the Learning of Morphology in Natural Languages. M.S. Thesis. Computer Science, Sever Institute of Technology. Washington University, Saint Louis, Missouri (2002)
15. Stump, G.T.: Inflectional Morphology: A Theory of Paradigm Structure. Cambridge University Press, Cambridge (2001)