Self-Consistency as an Inductive Bias in Early Language Acquisition

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014

Volumn , Issue , 2014, Pages 469-474

  Fourtassi, Abdellah ^a   Dunbar, Ewan ^a   Dupoux, Emmanuel ^a  

^a CNRS   (France)

Author keywords

inductive bias; Language acquisition; phonemes; semantics; word segmentation

Indexed keywords

COMPUTATIONAL LINGUISTICS; MERGERS AND ACQUISITIONS;

INDUCTIVE BIAS; LANGUAGE ACQUISITION; LINGUISTIC STRUCTURE; PHONEME; SELF-CONSISTENCY; SOUND SYSTEMS; WORD SEGMENTATION;

SEMANTICS;

EID: 84906925914     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Boruta, L. (2012). Indicateurs d'allophonie et de phonémicité (Doctoral dissertation). Université Paris-Diderot - Paris VII.
2. Brent, M. R. (1999). An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34(1-3), 71-105.
3. Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.
4. Daland, R., & Pierrehumbert, J. B. (2011). Learning diphonebased segmentation. Cognitive Science, 35(1), 119-155.
5. Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recogn. Lett., 27(8), 861-874.
6. Fourtassi, A., & Dupoux, E. (2013). A corpus-based evaluation method for distributional semantic models. In 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop (pp. 165-171). Sofia, Bulgaria: Association for Computational Linguistics.
7. Fourtassi, A., Schatz, T., Varadarajan, B., & Dupoux, E. (2014). Exploring the Relative Role of Bottom-up and Top-down Information in Phoneme Learning. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics.
8. Gervain, J., & Mehler, J. (2010). Speech perception and language acquisition in the first year of life. Annual review of psychology, 61, 191-218.
9. Goldwater, S. (2006). Nonparametric bayesian models of lexical acquisition (Unpublished doctoral dissertation). Brown University.
10. Harris, Z. (1954). Distributional structure. Word, 10(23), 146-162.
11. Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge University Press.
12. Johnson, M., Griffiths, T. L., & Goldwater, S. (2007). Adaptor grammars: a framework for specifying compositional nonparametric bayesian models. In B. Sch”olkopf, J. Platt, & T. Hoffman (Eds.), Advances in neural information processing systems 19 (pp. 641-648). Cambridge, MA: MIT Press.
13. Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
14. Maekawa, K., Koiso, H., Furui, S., & Isahara, H. (2000). Spontaneous speech corpus of japanese. In LREC. Athens, Greece: European Language Resources Association.
15. Martin, A., Peperkamp, S., & Dupoux, E. (2013). Learning phonemes with a proto-lexicon. Cognitive Science, 37(1), 103-124.
16. Ngon, C., Martin, A., Dupoux, E., Dominique, C., Dutat, M., & Peperkamp, S. (2013). (non)words, (non)words, (non)words: evidence for a protolexicon during the first year of life. Developmental Science, 16(1), 24-34.
17. Pearl, L., & Goldwater, S. (in press). Statistical learning, inductive bias, and bayesian inference in language acquisition. In J. Lidz (Ed.), Oxford handbook of developmental linguistics. Oxford University Press.
18. Peperkamp, S., Le Calvez, R., Nadal, J.-P., & Dupoux, E. (2006). The acquisition of allophonic rules: Statistical learning with linguistic constraints. Cognition, 101(3), B31-B41.
19. Pitt, M. A., Johnson, K., Hume, E., Kiesling, S., & Raymond, W. D. (2005). The buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability. Speech Communication, 45(1), 89-95.
20. Řehůřek, R., & Sojka, P. (2010, May 22). Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks (pp. 45-50). Valletta, Malta: ELRA.
21. Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 1926-1928.
22. Young, S. J., Kershaw, D., Odell, J., Ollason, D., Valtchev, V., & Woodland, P. (2006). The HTK Book Version 3.4. Cambridge University Press.