| 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 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 |
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) |
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| Keyword(1) |
parallel text |
| Keyword(2) |
machine translation |
| Keyword(3) |
speech recognition |
| Keyword(4) |
forced alignment |
| Keyword(5) |
multilingual communication support |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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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 |
6 |
| Date of Issue |
2016-02-22 (AI) |