Presentation | 2009-03-12 Role of statistical learning in grammar-like rule acquisition from speech streams Osamu WATANABE, Miki HAYASAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When infants are acquiring their mother tongues, they have to segment continuous speech streams at first and then discover grammatical structures that rule out how these words are connected. The phonetic information, such as an intonation, is an important cue for language acquisition, but would not be the only one. Words and syllables are not connected randomly in spoken language, and the statistical information, or the transitional probabilities of words and syllables, could provide cues for word segmentation and grammatical rule extraction. However, Pena et al. (2002) reported that the statistical information does not contribute to acquire grammatical-like rules from continuous speech streams. Here we show the result of Pena et al. can be explained by the framework of statistical learning with a computer simulation and a psychological experiment. The present result suggests that the statistical information is utilized for grammatical rule acquisitions as well as word segmentations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | language acquisition / temporal pattern / grammatical rule / neural network / Elman net |
Paper # | NC2008-134 |
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Committee | NC |
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Conference Date | 2009/3/4(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Role of statistical learning in grammar-like rule acquisition from speech streams |
Sub Title (in English) | |
Keyword(1) | language acquisition |
Keyword(2) | temporal pattern |
Keyword(3) | grammatical rule |
Keyword(4) | neural network |
Keyword(5) | Elman net |
1st Author's Name | Osamu WATANABE |
1st Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Engineering, Muroran Institute of Technology() |
2nd Author's Name | Miki HAYASAKA |
2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Faculty of Engineering, Muroran Institute of Technology |
Date | 2009-03-12 |
Paper # | NC2008-134 |
Volume (vol) | vol.108 |
Number (no) | 480 |
Page | pp.pp.- |
#Pages | 6 |
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