Paper Abstract and Keywords |
Presentation |
2016-02-21 11:00
Automatic correctness judgment of handwritten answers to descriptive questions by handwriting recognition Yoshiro Uchida, Zhu Bilan, Masaki Nakagawa (TAT) PRMU2015-135 CNR2015-36 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
When handwriting recognition is applied to mark handwritten answers for descriptive questions, not only correct answers must be marked correct but also incorrect answers must be marked as incorrect. Conventional handwriting recognition methods employ word dictionaries or linguistic contexts to increase recognition rates of handwritten text, but they may recognize slightly incorrect answers as correct. Therefore, we propose to combine word-dictionary-based recognition, context-based recognition and handwriting recognition without any of them to recognize handwritten answers in order to recognize correct answers as correct and incorrect answers as incorrect as much as possible. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Descriptive questions / handwriting recognition / automatic marking / IT empowered education / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 456, PRMU2015-135, pp. 19-24, Feb. 2016. |
Paper # |
PRMU2015-135 |
Date of Issue |
2016-02-14 (PRMU, CNR) |
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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PRMU2015-135 CNR2015-36 |
Conference Information |
Committee |
PRMU CNR |
Conference Date |
2016-02-21 - 2016-02-22 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2016-02-PRMU-CNR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic correctness judgment of handwritten answers to descriptive questions by handwriting recognition |
Sub Title (in English) |
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Keyword(1) |
Descriptive questions |
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handwriting recognition |
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automatic marking |
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IT empowered education |
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1st Author's Name |
Yoshiro Uchida |
1st Author's Affiliation |
Tokyo University of Agriculture and Technology (TAT) |
2nd Author's Name |
Zhu Bilan |
2nd Author's Affiliation |
Tokyo University of Agriculture and Technology (TAT) |
3rd Author's Name |
Masaki Nakagawa |
3rd Author's Affiliation |
Tokyo University of Agriculture and Technology (TAT) |
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Speaker |
Author-1 |
Date Time |
2016-02-21 11:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2015-135, CNR2015-36 |
Volume (vol) |
vol.115 |
Number (no) |
no.456(PRMU), no.457(CNR) |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2016-02-14 (PRMU, CNR) |
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