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Paper Abstract and Keywords
Presentation 2016-12-22 10:00
An Estimation of Kaomoji's Original Form using Classifiers
Noriyuki Okumura (NITAC) NLC2016-37
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes an estimation method of Kaomoji’s original forms using classifiers. We select features to use classifiers. In the selection, we evaluate Ngram based features and Skip Ngram based features. Classifiers are constructed using combined features based on the evaluation described above. As an experimental result, this paper shows the effectiveness of classifiers against the estimation method using cosine similarity.
Keyword (in Japanese) (See Japanese page) 
(in English) Kaomoji / Original Forms / Ngram / Support Vector Machine / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 379, NLC2016-37, pp. 93-96, Dec. 2016.
Paper # NLC2016-37 
Date of Issue 2016-12-14 (NLC) 
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2016-37

Conference Information
Committee SP IPSJ-SLP NLC IPSJ-NL  
Conference Date 2016-12-20 - 2016-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) NTT Musashino R&D 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 18th Spoken Language Symposium & The Third Natural Language Processing Symposium 
Paper Information
Registration To NLC 
Conference Code 2016-12-SP-SLP-NLC-NL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Estimation of Kaomoji's Original Form using Classifiers 
Sub Title (in English)  
Keyword(1) Kaomoji  
Keyword(2) Original Forms  
Keyword(3) Ngram  
Keyword(4) Support Vector Machine  
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1st Author's Name Noriyuki Okumura  
1st Author's Affiliation National Institute of Technology, Akashi College (NITAC)
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Speaker Author-1 
Date Time 2016-12-22 10:00:00 
Presentation Time 30 minutes 
Registration for NLC 
Paper # NLC2016-37 
Volume (vol) vol.116 
Number (no) no.379 
Page pp.93-96 
#Pages 4 
Date of Issue 2016-12-14 (NLC) 

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