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| Presentation | 2014-05-30 10:20 Phonological learning model based on phoneme transition statistics Masashi Gunji (Kogakuin Univ.), Naokazu Goda (NIPS), Miyuki Kamachi (Kogakuin Univ.)  HCS2014-30 HIP2014-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Developmental studies have shown that infants are sensitive to statistical regularities in phoneme sequence and use them to learn their mother language. Little is known, however, about what statistical features are specifically important in the language acquisition. Here we explored how structures of syllables, words, or bunsetsu can be acquired based on statistical regularities in the phoneme sequence, by using a model that mimics statistical learning in infancy. Based on so-called N-gram processing, this model learns transition statistics from sequences of phonetic alphabets representing natural language and uses them to segment the sequences into syllables, words, or bunsetsu. We found that, in Japanese language, the transitional regularities between the short arrays (N=1,2) of phonetic alphabets were quite useful for segmentation of syllables, whereas those between the longer arrays (N=2,3) were informative for segmentation of words and bunsetsu. Our results suggest that transitional regularities between phonemes in different scales would provide important cues for learning structure of syllables and words/bunsetsu in infancy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | language acquisition / phonetic alphabet / transition probability / conditional entropy / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 68, HIP2014-30, pp. 221-224, May 2014. | |
| Paper # | HIP2014-30 | |
| Date of Issue | 2014-05-22 (HCS, HIP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | HCS2014-30 HIP2014-30 |
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| Conference Information | |
| Committee | HCS HIP HI-SIGCOASTER |
| Conference Date | 2014-05-29 - 2014-05-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication Enhancing, Human Communications, and Human Information Processing |
| Paper Information | |
| Registration To | HIP |
| Conference Code | 2014-05-HCS-HIP-SIGCE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Phonological learning model based on phoneme transition statistics |
| Sub Title (in English) | |
| Keyword(1) | language acquisition |
| Keyword(2) | phonetic alphabet |
| Keyword(3) | transition probability |
| Keyword(4) | conditional entropy |
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| 1st Author's Name | Masashi Gunji |
| 1st Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 2nd Author's Name | Naokazu Goda |
| 2nd Author's Affiliation | National Institute for Physiological Sciences (NIPS) |
| 3rd Author's Name | Miyuki Kamachi |
| 3rd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-05-30 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | HIP |
| Paper # | HCS2014-30, HIP2014-30 |
| Volume (vol) | vol.114 |
| Number (no) | no.67(HCS), no.68(HIP) |
| Page | pp.221-224 |
| #Pages | 4 |
| Date of Issue | 2014-05-22 (HCS, HIP) |
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