Testing the Robustness of Online Word Segmentation: Effects of Linguistic Diversity and Phonetic Variation

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2011-June, Issue , 2011, Pages 1-9

  Boruta, Luc ^a,b   Peperkamp, Sharon ^b   Crabbé, Benoît ^a   Dupoux, Emmanuel ^b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MERGERS AND ACQUISITIONS; TECHNOLOGY TRANSFER;

LANGUAGE ACQUISITION; LANGUAGE EVALUATIONS; LARGE PARTS; LEARN+; LINGUISTIC DIVERSITY; PERFORMANCE; PHONEMES RECOGNITION; STATE OF THE ART; STATISTIC MODELING; WORD SEGMENTATION;

SYSTEMATIC ERRORS;

EID: 84926357255     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. E. Batchelder. 2002. Bootstrapping the lexicon: a computational model of infant speech segmentation. Cognition, 83:167-206.
2. D. Blanchard and J. Heinz. 2008. Improving word segmentation by simultaneously learning phonotactics. In Proceedings of the Conference on Natural Language Learning, pages 65-72.
3. L. Boruta. 2011. A note on the generation of allophonic rules. Technical Report 0401, INRIA.
4. M. R. Brent and T. A. Cartwright. 1996. Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61:93-125.
5. M. R. Brent. 1999. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34(1-3):71-105.
6. R. Daland and J. B. Pierrehumbert. 2010. Learning diphone-based segmentation. Cognitive Science, 35(1):119-155.
7. M. Fleck. 2008. Lexicalized phonotactic word segmentation. In Proceedings of ACL-2008, pages 130-138.
8. T. Gambell and C. Yang. 2004. Statistics learning and universal grammar: Modeling word segmentation. In Proceedings of the 20th International Conference on Computational Linguistics.
9. S. Goldwater, T. L. Griffiths, and M. Johnson. 2009. A bayesian framework for word segmentation: exploring the effects of context. Cognition, 112(1):21-54.
10. J. Heinz. 2006. MBDP-1, OCaml implementation. Retrieved from http://phonology.cogsci.udel.edu/∼heinz/on January 26, 2009.
11. E. K. Johnson and P. W. Jusczyk. 2001. Word segmentation by 8-month-olds: When speech cues count more than statistics. Journal of Memory and Language, 44:548-567.
12. M. Johnson. 2008. Unsupervised word segmentation for Sesotho using adaptor grammars. In Proceedings of the 10th Meeting of ACL SIGMORPHON, pages 20-27.
13. P. Jusczyk. 1997. The Discovery of Spoken Language. MIT Press.
14. R. Le Calvez. 2007. Approche computationnelle de l'acquisition précoce des phonèmes. Ph.D. thesis, UPMC.
15. B. MacWhinney. 2000. The CHILDES Project: Tools for Analyzing Talk. Lawrence Elbraum Associates.
16. J. Makhoul and R. Schwartz. 1995. State of the art in continuous speech recognition. PNAS, 92:9956-9963.
17. A. Martin, S. Peperkamp, and E. Dupoux. Submitted. Learning phonemes with a pseudo-lexicon.
18. K. Nakadai, R. Sumiya, M. Nakano, K. Ichige, Y. Hi-rose, and H. Tsujino. 2007. The design of phoneme grouping for coarse phoneme recognition. In IEA/AIE, pages 905-914.
19. L. Pearl, Sh. Goldwater, and M. Steyvers. In press. Online learning mechanisms for bayesian models of word segmentation. Research on Language and Computation.
20. S. Peperkamp, R. Le Calvez, J. P. Nadal, and E. Dupoux. 2006. The acquisition of allophonic rules: statistical learning with linguistic constraints. Cognition, 101(3):B31-B41.
21. C. A. Rytting, C. Brew, and E. Fosler-Lussier. 2010. Segmenting words from natural speech: subsegmental variation in segmental cues. Journal of Child Language, 37:513-543.
22. A. Venkataraman. 2001. A statistical model for word discovery in transcribed speech. Computational Linguistics, 27(3):351-372.