Presentation 1995/5/17
Meaning Inferring System for Unknown Words based on Human-like Analogy
Hiroyuki Kameda, Giyoo Hatano, Keiko Kojima,
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Abstract(in English) One of ultmate aims of computer science is to realize intelligent information processing systems with the same capabilities as humans, and a main reason of why humans have especially high quality of capabilities, e.g. for understanding and generating linguistic expressions, is that humans can acquire and utilize amounts of knowledge about events or phenomena happening inside or outside him/her as his/her experiences. Prom this point of view, we are investigating mental processes of natural languaue (a tool of thought), focussing mainly on methods for guessing meanings of new words (henceforth, unknown words). In this paper, meaning inferring system by analogy is proposed for unknown words of two kanji-characters on the basis of the findings of psychological experiments.
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Keyword(in English) Unknown word / meaning inference / knowledge acquisition / knowledge utilization / thought process / psychological experiment
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Committee TL
Conference Date 1995/5/17(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Meaning Inferring System for Unknown Words based on Human-like Analogy
Sub Title (in English)
Keyword(1) Unknown word
Keyword(2) meaning inference
Keyword(3) knowledge acquisition
Keyword(4) knowledge utilization
Keyword(5) thought process
Keyword(6) psychological experiment
1st Author's Name Hiroyuki Kameda
1st Author's Affiliation Tokyo Engineering University()
2nd Author's Name Giyoo Hatano
2nd Author's Affiliation Keio University
3rd Author's Name Keiko Kojima
3rd Author's Affiliation Tokyo Woman's Christian University
Date 1995/5/17
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Volume (vol) vol.95
Number (no) 30
Page pp.pp.-
#Pages 12
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