Learning phonological categories

Language

Volumn 85, Issue 1, 2009, Pages 4-38

  Goldsmith, John ^a   Xanthos, Aris ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

Categorization; Hidden markov models; Machine learning; Phonology; Spectral graph theory; Vowel harmony

Indexed keywords

EID: 68149092358     PISSN: 00978507     EISSN: 15350665     Source Type: Journal    
DOI: 10.1353/lan.0.0100     Document Type: Article

References (40)

1. BAVAUD, FRANÇOIS, and ARIS XANTHOS. 2005. Markov associativities. Journal of Quantitative Linguistics 12.123-37.
2. BELKIN, MIKHAIL, and JOHN A. GOLDSMITH. 2002. Using eigenvectors of the bigram graph to infer morpheme identity. Proceedings of the sixth workshop of the ACL Special Interest Group in Computational Phonology, ed. by Michael Maxwell, 41-47. East Stroudsburg, PA: Association for Computational Linguistics.
3. BEZDEK, JAMES C. 1981. Pattern recognition with fuzzy objective function algorithms. New York: Plenum.
4. BIGGS, NORMAN. 1993. Algebraic graph theory. 2nd edn. Cambridge: Cambridge University Press.
5. BLOOMFIELD, LEONARD. 1933. Language. New York: H. Holt and Company.
6. CHARNIAK, EUGENE. 1993. Statistical language learning. Cambridge, MA: MIT Press.
7. CHOMSKY, NOAM. 1986. Knowledge of language. New York: Praeger.
8. CHOMSKY, NOAM. 2000. An interview on minimalism. Online: http://www.ling.ed.ac.uk/̃s0450647/docs/interview Chomsky.pdf.
9. CHUNG, FAN R. K. 1997. Spectral graph theory. Providence, RI: American Mathematical Society.
10. DOWMAN, MIKE. 2008. Minimum description length as a solution to the problem of generalization in syntactic theory. Tokyo: University of Tokyo, MS. Online: http://www.ling.ed.ac.uk/̃mdowman/mdl-and- generalization.pdf.
11. ELLISON, T. MARK. 1991. The iterative learning of phonological constraints. Crawley: University of Western Australia, MS.
12. ELLISON, T. MARK. 1994. The machine learning of phonological structure. Crawley: University of Western Australia dissertation.
13. ELLISON, T. MARK. 2001. Induction and inherent similarity. Similarity and categorization, ed. by Ulrike Hahn and Martin C. Ramscar, 29-49. Oxford: Oxford University Press.
14. FINCH, STEVEN. 1993. Finding structure in language. Edinburgh: University of Edinburgh dissertation.
15. GOLDSMITH, JOHN A. 2001. The unsupervised learning of natural language morphology. Computational Linguistics 27.153-98.
16. GOLDSMITH, JOHN A. 2009. The syllable. The handbook of phonological theory, vol. 2, ed. by John Goldsmith, Jason Riggle, and Alan Yu. Oxford: Blackwell, to appear.
17. GOLDSMITH, JOHN A., and JEREMY O'BRIEN. 2006. Learning inflectional classes. Language Learning and Development 2.219-50.
18. GOLDSMITH, JOHN A., and JASON RIGGLE. 2007. Information theoretic approaches to phonology: The case of Finnish vowel harmony. Chicago: University of Chicago, MS. Online: http://hum.uchicago.edu/ ̃jagoldsm//Papers/boltzmann.pdf.
19. GOLDSMITH, JOHN A., and ARIS XANTHOS. 2008. Three models for learning phonological categories. Technical report 2008-8. Chicago: Department of Computer Science, University of Chicago.
20. GOLDWATER, SHARON. 2006. Nonparametric Bayesian models of lexical acquisition. Providence, RI: Brown University dissertation.
21. GUY, JACQUES. 1991. Vowel identification: An old (but good) algorithm. Cryptologia 15.258-62.
22. HAYES, BRUCE, and COLIN WILSON. 2008. A maximum entropy model of phonotactics and phonotactic learning. Linguistic Inquiry 39.379-440.
23. JELINEK, FREDERICK. 1997. Statistical methods for speech recognition. Cambridge, MA: MIT Press.
24. KANNAN, RAVI; SANTOSH VEMPALA; and ADRIAN VETTA. 2000. On clusterings: Good, bad, and spectral. Proceedings of the 41st Annual Symposium on the Foundation of Computer Science, 367-80. Washington, DC: IEEE Computer Society.
25. PEPERKAMP, SHARON; ROZENN LE CALVEZ; JEAN-PIERRE NADAL; and EMMANUEL DUPOUX. 2006. The acquisition of allophonic rules: Statistical learning with linguistic constraints. Cognition 101.B31-B41.
26. PIKE, KENNETH. 1943. Phonetics. Ann Arbor: University of Michigan Press.
27. POWERS, DAVID M. W. 1991. How far can self-organization go? Results in unsupervised language learning. Proceedings of AAAI Spring Symposium on Machine Learning of Natural Language and Ontology, ed. by David M. W. Powers and Larry Reeker, 131-37.
28. POWERS, DAVID M. W. 1997. Unsupervised learning of linguistic structure: An empirical evaluation. International Journal of Corpus Linguistics 2.91-132.
29. REICHENBACH, HANS. 1938. Experience and prediction. Chicago: University of Chicago Press.
30. RISSANEN, JORMA. 1989. Stochastic complexity in statistical inquiry. Singapore: World Scientific.
31. SAFFRAN, JENNY R.; RICHARD N. ASLIN; and ELISSA L. NEWPORT. 1996. Statistical learning by 8-month-old infants. Science 274.1926-28.
32. SCHIFFERDECKER, G. 1994. Finding structure in language. Karlsruhe: University of Karlsruhe master's thesis.
33. SILVERSTEIN, MICHAEL (ed.) 1971. Whitney on language: Selected writings of William Dwight Whitney. Cambridge, MA: MIT Press.
34. SUKHOTIN, BORIS V. 1962. Eksperimental'noe vydelenie klassov bukv s pomoščju EVM. Problemy strukturnoj lingvistiki 234.189-206.
35. SUKHOTIN, BORIS V. 1973. Méthode de déchiffrage, outil de recherche en linguistique. T. A. Informations 2.1-43.
36. TESAR, BRUCE. 1998. An iterative strategy for language learning. Lingua 104.131-45.
37. TRUBETZKOY, NICOLAI S. 1969. Principles of phonology. Berkeley: University of California Press.
38. VAN DER HULST, HARRY, and JEROEN VAN DE WEIJER. 1995. Vowel harmony. The handbook of phonological theory, ed. by John A. Goldsmith, 495-534. Oxford: Blackwell.
39. WARD, JOE H. 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58.236-44.
40. XANTHOS, ARIS. 2008. Apprentissage automatique de la morphologie: Le cas des structures racine-schème. (Sciences pour la communication 88.) Berne: Peter Lang.