Paper Abstract and Keywords |
Presentation |
2022-09-16 14:30
Extraction and Visualization of WordNet Datasets based on English Learning Vocabulary Lists Haruka Hosokawa, Mikiyasu Nishiyama, Masatsugu Ono (MuroranIT), Shogo Anda, Masato Kikuchi, Tadachika Ozono (NITech), Toshioki Soga (CIST), Tetsu Tanabe (HU) AI2022-29 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
English vocabulary lists are basic resource generated to improve the efficiency of learning English. In this study, the authors have considered that it might be possible to learn more multiple words at one time than to learn a single word. Then, they have succeeded in extracting and visualizing conceptual structures of each vocabulary by utilizing WordNet. Consequently, they have also succeeded in observing the relationships between words and/or phrases, which helps us to consider a new style of vocabulary learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
vocabrlary list / WordNet / concept structure / visualization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 186, AI2022-29, pp. 64-69, Sept. 2022. |
Paper # |
AI2022-29 |
Date of Issue |
2022-09-08 (AI) |
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) |
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AI2022-29 |
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