| Paper Abstract and Keywords |
| Presentation |
2016-01-21 15:25
Detection of Mis-converted Chinese Characters in Text Proofreading by Co-occurrence Words Takashi Kajiya, Shun Hattori (Muroran Inst. of Tech.) IN2015-98 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Most of the existing tools for text proofreading detect mis-converted Chinese characters in a target text by judging based on whether or not they match the prepared example(s) of mis-conversion. However, such a method cannot detect unknown mis-converted Chinese characters that do not exist in the prepared examples of mis-conversion. Therefore, this paper proposes a novel system that extracts clauses by morphological-analyzing an input sentence, and acquires a contextualized conversion for each clause by choosing its one candidate which have the greatest co-occurrence with the surrounding clauses. The proposed system assesses the degree of the co-occurrence between clauses by using enormous pages in the exponentially-growing Web. And the system has the capability of detecting unknown mis-converted Chinese characters, because it does not have to prepare a set of examples of mis-conversion unlike most of the existing tools for text proofreading. By inputting 200 sentences of 100 sentences with only one mis-conversion and the corrected 100 sentences without the one mis-conversion to the proposed system, the evaluation experiment measures its precision of detecting mis-converted Chinese characters. As a result, the system has achieved 62% at the most for the ratio of true alarm, and 4% stably for the ratio of false alarm, depending on its parameter of the number of Web pages for assessing the co-occurrence. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Mis-conversion Detection / Co-occurrence / Text Proofreading / Morphological Analysis / Web Mining / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 405, IN2015-98, pp. 19-22, Jan. 2016. |
| Paper # |
IN2015-98 |
| Date of Issue |
2016-01-14 (IN) |
| 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 |
IN2015-98 |
| Conference Information |
| Committee |
IN |
| Conference Date |
2016-01-21 - 2016-01-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nagoya Kigyou Fukushi Kaikan |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Contents Delivery/Contents Exchange, Social Networking Service (SNS), Data Analysis/Processing Platform, Big Data, etc. |
| Paper Information |
| Registration To |
IN |
| Conference Code |
2016-01-IN |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Detection of Mis-converted Chinese Characters in Text Proofreading by Co-occurrence Words |
| Sub Title (in English) |
|
| Keyword(1) |
Mis-conversion Detection |
| Keyword(2) |
Co-occurrence |
| Keyword(3) |
Text Proofreading |
| Keyword(4) |
Morphological Analysis |
| Keyword(5) |
Web Mining |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Takashi Kajiya |
| 1st Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 2nd Author's Name |
Shun Hattori |
| 2nd Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
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| Speaker |
Author-1 |
| Date Time |
2016-01-21 15:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
IN |
| Paper # |
IN2015-98 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.405 |
| Page |
pp.19-22 |
| #Pages |
4 |
| Date of Issue |
2016-01-14 (IN) |