acl acl2011 acl2011-74 acl2011-74-reference knowledge-graph by maker-knowledge-mining

74 acl-2011-Combining Indicators of Allophony


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Author: Luc Boruta

Abstract: Allophonic rules are responsible for the great variety in phoneme realizations. Infants can not reliably infer abstract word representations without knowledge of their native allophonic grammar. We explore the hypothesis that some properties of infants’ input, referred to as indicators, are correlated with allophony. First, we provide an extensive evaluation of individual indicators that rely on distributional or lexical information. Then, we present a first evaluation of the combination of indicators of different types, considering both logical and numerical combinations schemes. Though distributional and lexical indicators are not redundant, straightforward combinations do not outperform individual indicators.


reference text

Luc Boruta, Sharon Peperkamp, Beno ıˆt Crabb ´e, and Emmanuel Dupoux. Submitted. Testing the robustness of online word segmentation: effects of linguistic diversity and phonetic variation. Luc Boruta. 2011. A note on the generation of allophonic rules. Technical Report 0401, INRIA. Michael R. Brent and Timothy A. Cartwright. 1996. Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61:93–125. Anthony C. C. Coolen, Reimer K u¨hn, and Peter Sollich. 2005. Theory of Neural Information Processing Systems. Oxford University Press. Isabelle Dautriche. 2009. Mod e´lisation des processus d’acquisition du langage par des m ´ethodes statistiques. Master’s thesis, INSA, Toulouse. Brian Dillon, Ewan Dunbar, and William Idsardi. In preparation. A single stage approach to learning phonological categories: insights from inuktitut. Charles Hockett. 1955. A manual of phonology. International Journal of American Linguistics, 21(4). Rozenn Le Calvez. 2007. Approche computationnelle de l’acquisition pr e´coce des phon `emes. Ph.D. thesis, UPMC, Paris. David Marr. 1982. Vision: a Computational Investigation into the Human Representation and Processing of Visual Information. W. H. Freeman. Andrew T. Martin, Sharon Peperkamp, and Emmanuel Dupoux. Submitted. Learning phonemes with a pseudo-lexicon. Brian W. Matthews. 1975. Comparison of the predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta, Protein Structure, 405(2):442–451. Jessica Maye, Janet F. Werker, and LouAnn Gerken. 2002. Infant sensitivity to distributional information can affect phonetic discrimination. Cognition, 82(3):B101–B1 11. Sharon Peperkamp, Rozenn Le Calvez, Jean-Pierre Nadal, and Emmanuel Dupoux. 2006. The acquisition of allophonic rules: statistical learning with linguistic constraints. Cognition, 101(3):B3 1–B41 . Jenny R. Saffran, Richard N. Aslin, and Elissa L. Newport. 1996. Statistical learning by 8-month-old infants. Science, 274(5294): 1926–1928. Tobias Sing, Oliver Sander, Niko Beerenwinkel, and Thomas Lengauer. 2005. ROCR: visualizing classifier performance in R. Bioinformatics, 21(20):3940–3941 . Anand Venkataraman. 2001. A statistical model for word discovery in transcribed speech. Computational Linguistics, 27(3):351–372. 93