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| Presentation | 2018-12-11 14:15 Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.)  NLC2018-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high quality bilingual knowledge such as bilingual dictionary. In our proposed method, the bilingual sentences are extracted using the translation matrix and the similarity between two language sentences based on the word embeddings. In that case, the Earth Mover's Distance is used to calculate the similarity. Moreover, the weight based on the difference of lengths between two language sentences is applied to the similarity in EMD. The evaluational experiments using the news article's comparable corpus indicate that the average of F-measure of our proposed method was 0.49, those of our proposed method without the weight based on the sentence length and the method based only on EMD were respectively 0.42, and that of the method using sentence length which is the baseline was 0.13. Therefore, we confirmed the effectiveness of our proposed method using the weight based sentence length. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Bilingual Sentences / Automatic Extraction / word2vec / Earth Mover’s Distance / Sentence Length / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 355, NLC2018-30, pp. 3-8, Dec. 2018. | |
| Paper # | NLC2018-30 | |
| Date of Issue | 2018-12-04 (NLC) | |
| ISSN | 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 | NLC2018-30 |
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| Conference Information | |
| Committee | NLC IPSJ-NL SP IPSJ-SLP |
| Conference Date | 2018-12-10 - 2018-12-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Waseda Univ. Nishiwaseda Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 5th Natural Language Processing Symposium & The 20th Spoken Language Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2018-12-NLC-NL-SP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length |
| Sub Title (in English) | |
| Keyword(1) | Bilingual Sentences |
| Keyword(2) | Automatic Extraction |
| Keyword(3) | word2vec |
| Keyword(4) | Earth Mover’s Distance |
| Keyword(5) | Sentence Length |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Ryo Tanoue |
| 1st Author's Affiliation | Hokkai-Gakuen University (Hokkai-Gakuen Univ.) |
| 2nd Author's Name | Hiroshi Echizen'ya |
| 2nd Author's Affiliation | Hokkai-Gakuen University (Hokkai-Gakuen Univ.) |
| 3rd Author's Name | Kenji Araki |
| 3rd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-12-11 14:15:00 |
| Presentation Time | 30 minutes |
| Registration for | NLC |
| Paper # | NLC2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | no.355 |
| Page | pp.3-8 |
| #Pages | 6 |
| Date of Issue | 2018-12-04 (NLC) |
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