Presentation 2006/3/15
Study on Rough Classification of Japanese Sign Language Words
Akemi OOYAMA, Shinya OGURO, Kazuo KAMATA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This report addresses a rough classification system for signed language words cited in "The glossaries of the Japanese signs" published by Japanese Federation of the Deaf. In this study we do not use any structural features of Hand Configuration (HC) but the features of Articulators (Types of signs), Place of Articulation (PA), and Movement (MOV). Our study focuses upon the descriptive system for general people those who do not have any professional knowledge in Japanese Signed Language (JSL). Without use of any HC features, we can classify total number of 2,454 words into 254 different word sets. The sizes of sets vary from 1 to 39. Among these sets, 41 sets are singletons. The average size of the sets is 8.89. The number of sets is inversely proportional to the size of word set.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Signed language / Descriptive parameter / Sign retrieval
Paper # HCS2005-64
Date of Issue

Conference Information
Committee HCS
Conference Date 2006/3/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Rough Classification of Japanese Sign Language Words
Sub Title (in English)
Keyword(1) Signed language
Keyword(2) Descriptive parameter
Keyword(3) Sign retrieval
1st Author's Name Akemi OOYAMA
1st Author's Affiliation Department of Information Science, Utsunomiya University()
2nd Author's Name Shinya OGURO
2nd Author's Affiliation ASLAX
3rd Author's Name Kazuo KAMATA
3rd Author's Affiliation Department of Information Science, Utsunomiya University
Date 2006/3/15
Paper # HCS2005-64
Volume (vol) vol.105
Number (no) 681
Page pp.pp.-
#Pages 6
Date of Issue