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Paper Abstract and Keywords
Presentation 2017-07-22 16:40
Word Familiarity Rate Estimation for `Word List by Semantic Principles' -- a Case Study of Adjective --
Masayuki Asahara (NINJAL) TL2017-22
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a research of word familiarity rate estimation for ‘Word List by Semantic Principles’. We collected the rating information for 7,832 adjectives in the ‘Word List by Semantic Principles’ via Yahoo! crowdsourcing. We asked 527 subject participants to judge the rating of ‘KNOWN’, ‘WRITE’, ‘READ’, ‘SPEAK’,
and ‘LISTEN’ by their introspection. Each word has the rating information by 10 people. The word familiarity rates are estimated by Bayesian linear mixed models. We also explore the rating by the semantic labels of ‘Word List by Semantic Principles’.
Keyword (in Japanese) (See Japanese page) 
(in English) Word Familiarity Rate / Thesaurus / Crowd Sourcing / Bayesian Linear Mixed Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 149, TL2017-22, pp. 45-50, July 2017.
Paper # TL2017-22 
Date of Issue 2017-07-15 (TL) 
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 TL2017-22

Conference Information
Committee TL  
Conference Date 2017-07-22 - 2017-07-23 
Place (in Japanese) (See Japanese page) 
Place (in English) NINJAL 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human Language Processing and Learning 
Paper Information
Registration To TL 
Conference Code 2017-07-TL 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Word Familiarity Rate Estimation for `Word List by Semantic Principles' 
Sub Title (in English) a Case Study of Adjective 
Keyword(1) Word Familiarity Rate  
Keyword(2) Thesaurus  
Keyword(3) Crowd Sourcing  
Keyword(4) Bayesian Linear Mixed Model  
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1st Author's Name Masayuki Asahara  
1st Author's Affiliation National Institute for Japanese Language and Linguistics (NINJAL)
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Speaker Author-1 
Date Time 2017-07-22 16:40:00 
Presentation Time 60 minutes 
Registration for TL 
Paper # TL2017-22 
Volume (vol) vol.117 
Number (no) no.149 
Page pp.45-50 
#Pages
Date of Issue 2017-07-15 (TL) 


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