Rejuvenation to improve particle filtering for bayesianword segmentation

50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference

Volumn 2, Issue , 2012, Pages 85-89

  Börschinger, Benjamin ^a   Johnson, Mark ^b  

^a MACQUARIE UNIVERSITY   (Australia)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

A-PARTICLES; INCREMENTAL LEARNING; PARTICLE FILTERING; WORD SEGMENTATION;

COMPUTATIONAL LINGUISTICS; ENDOCRINOLOGY; LEARNING ALGORITHMS; SIGNAL FILTERING AND PREDICTION;

MONTE CARLO METHODS;

EID: 84878213026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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5. Sharon Goldwater. 2006. Nonparametric Bayesian Models of Lexical Acquisition. Ph.D. thesis, Brown University.
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7. Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. 2007. Bayesian inference for pcfgs via markov chain monte carlo. In Proceedings of Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics.
8. Daichi Mochihashi, Takeshi Yamada, and Naonori Ueda. 2009. Bayesian unsupervised word segmentation with nested pitman-yor language modeling. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 100-108, Suntec, Singapore, August. Association for Computational Linguistics.
9. Elissa L Newport. 1988. Constraints on learning and their role in language acquisition: Studies of the acquisition of american sign language. Language Sciences, 10:147-172.
10. Lisa Pearl, Sharon Goldwater, and Mark Steyvers. 2010. Online learning mechanisms for bayesian models of word segmentation. Research on Language and Computation, 8(2):107-132.