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Paper Abstract and Keywords
Presentation 2014-06-15 13:00
Computing cross-lingual semantic textual similarities based on machine learning
Luo Wen Tao, Yoshihiko Hayashi (Osaka Univ.) NLC2014-16
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a method to compute cross-lingual semantic textual similarities between sentences in different languages. The method is based on a machine-learning approach, which employs several monolingual similarity features chiefly proposed by projects participated in the *SEM STS (Semantic Textual Similarity) task. To utilize the monolingual features in a cross-lingual setting, we tested two methods to cross language borders: one utilizes bilingual dictionaries and the other employs off-the-shelf machine-translation engines. While our experimental results demonstrated such a translate then monolingual similarity method was reasonably effective in cross-lingual STS for English, Japanese, and Chinese, it has also been insisted that syntactic/structural differences have to be incorporated into the machine-learning based framework.
Keyword (in Japanese) (See Japanese page) 
(in English) semantic textual similarities / cross-lingual similarities / machine learning / machine translation / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 81, NLC2014-16, pp. 85-90, June 2014.
Paper # NLC2014-16 
Date of Issue 2014-06-07 (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)
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Conference Information
Committee NLC  
Conference Date 2014-06-14 - 2014-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLC 
Conference Code 2014-06-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Computing cross-lingual semantic textual similarities based on machine learning 
Sub Title (in English)  
Keyword(1) semantic textual similarities  
Keyword(2) cross-lingual similarities  
Keyword(3) machine learning  
Keyword(4) machine translation  
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1st Author's Name Luo Wen Tao  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yoshihiko Hayashi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2014-06-15 13:00:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2014-16 
Volume (vol) IEICE-114 
Number (no) no.81 
Page pp.85-90 
#Pages IEICE-6 
Date of Issue IEICE-NLC-2014-06-07 


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