Presentation | 2001/12/13 Language Acquisition by Robots Naoto IWAHASHI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper summarizes the methods by which a robot can learn mutual beliefs necessary for language communication with people. The learning is carried out in unsupervised ways based on joint perception and interaction, combining the information of raw speech and visual observations and behavioral reinforcement in probabilistic framework. The beliefs delt with in the methods include phonemes, lexicon, grammar, the influence of behavioral context, and other nonlinguistic belief. In experiments a robot that initially had no linguistic knowledge was eventually able to understand even fragmental and ambiguous utterances according to given situations, and act appropriately. The methods made it possible to reflect the embodied and dynamic aspects of language in the learning process, and they can be extended to provide more natural communication between people and robots. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | robot / language / mutual belief / communication / learning |
Paper # | NLC2001-61,SP2001-96 |
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Conference Information | |
Committee | NLC |
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Conference Date | 2001/12/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Language Acquisition by Robots |
Sub Title (in English) | |
Keyword(1) | robot |
Keyword(2) | language |
Keyword(3) | mutual belief |
Keyword(4) | communication |
Keyword(5) | learning |
1st Author's Name | Naoto IWAHASHI |
1st Author's Affiliation | Sony Computer Science Labs.() |
Date | 2001/12/13 |
Paper # | NLC2001-61,SP2001-96 |
Volume (vol) | vol.101 |
Number (no) | 520 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |