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Paper Abstract and Keywords
Presentation 2016-02-29 13:30
Speech-enabled Parallel-text Retrieval Method using Expanded Corpus
Taku Fukushima, Atsuhiko Kai (Shizuoka Univ.) AI2015-57
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, worldwide globalization has helped to increase communication among people with different native languages. However, accurate information sharing in multiple languages is currently inadequate. This problem appears conspicuously in the medical field, during emergencies, and so on. To solve this problem, parallel-text has been used for accurate multilingual communication. Parallel-text is able to support accurate information sharing. There are parallel-text creating projects. Moreover, there are retrieval of parallel-text using speech recognition for smooth input. However, existing retrieval tasks of parallel-text using speech recognition sometimes extracted improper texts. To resolve this problem, we propose a speech-enabled parallel-text retrieval method using an expanded corpus. The expanded corpus has negative sentences and interrogative sentences that are converted from existing parallel corpus. The contributions of this paper are the following results: (1) Our method that uses the expanded corpus provides retrieval results of higher precision than existing method. (2) Our method is able to decrease the number of retrieval results when a user retrieves a sentence that has no correct texts.
Keyword (in Japanese) (See Japanese page) 
(in English) parallel text / machine translation / speech recognition / forced alignment / multilingual communication support / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 468, AI2015-57, pp. 29-34, Feb. 2016.
Paper # AI2015-57 
Date of Issue 2016-02-22 (AI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 AI2015-57

Conference Information
Committee AI  
Conference Date 2016-02-29 - 2016-02-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2016-02-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Speech-enabled Parallel-text Retrieval Method using Expanded Corpus 
Sub Title (in English)  
Keyword(1) parallel text  
Keyword(2) machine translation  
Keyword(3) speech recognition  
Keyword(4) forced alignment  
Keyword(5) multilingual communication support  
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1st Author's Name Taku Fukushima  
1st Author's Affiliation Shizuoka University (Shizuoka Univ.)
2nd Author's Name Atsuhiko Kai  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ.)
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Speaker Author-1 
Date Time 2016-02-29 13:30:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2015-57 
Volume (vol) vol.115 
Number (no) no.468 
Page pp.29-34 
#Pages
Date of Issue 2016-02-22 (AI) 


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