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Paper Abstract and Keywords
Presentation 2016-10-20 15:40
Recognition of Obsolete Script in Pre-modern Japanese Texts by Deep Learning and Trial Production of WWW Application
Taichi Hayasaka, Wataru Ohno, Yumie Kato (NIT, Toyota College), Kazuaki Yamamoto (NIJL) PRMU2016-93
Abstract (in Japanese) (See Japanese page) 
(in English) Effective utilization of “Pre-modern Japanese book database” constructed by the project supervised by Center for Collaborative Research on Pre-Modern Texts, NIJL will push forward the development of the interfiled study. It may become obstruction for the researchers with a little knowledge of classical literature, however, because historical Japanese texts have been written by Kuzushiji (Hentaigana and cursive script). In this article we report an attempt of recognizing Hentaigana by deep learning, which is the artificial intelligence technology regarded throughout the world. Using the convolutional neural networks, we obtained a rate of correct distinction of Hentaigana in several pre-modern texts in open database. Furthermore, we developed the WWW software application and evaluated the time to recognize Hentaigana.
Keyword (in Japanese) (See Japanese page) 
(in English) Kuzushiji (Hentaigana) / Machine reprinting / Deep learning / Character recognition / WWW application / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 259, PRMU2016-93, pp. 15-18, Oct. 2016.
Paper # PRMU2016-93 
Date of Issue 2016-10-13 (PRMU) 
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)
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Conference Information
Committee PRMU  
Conference Date 2016-10-20 - 2016-10-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2016-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of Obsolete Script in Pre-modern Japanese Texts by Deep Learning and Trial Production of WWW Application 
Sub Title (in English)  
Keyword(1) Kuzushiji (Hentaigana)  
Keyword(2) Machine reprinting  
Keyword(3) Deep learning  
Keyword(4) Character recognition  
Keyword(5) WWW application  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Taichi Hayasaka  
1st Author's Affiliation National Institute of Technology, Toyota College (NIT, Toyota College)
2nd Author's Name Wataru Ohno  
2nd Author's Affiliation National Institute of Technology, Toyota College (NIT, Toyota College)
3rd Author's Name Yumie Kato  
3rd Author's Affiliation National Institute of Technology, Toyota College (NIT, Toyota College)
4th Author's Name Kazuaki Yamamoto  
4th Author's Affiliation National Institute of Japanese Literature (NIJL)
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Speaker Author-1 
Date Time 2016-10-20 15:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2016-93 
Volume (vol) vol.116 
Number (no) no.259 
Page pp.15-18 
#Pages 4 
Date of Issue 2016-10-13 (PRMU) 

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