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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/12896

タイトル: 創作タスクによる日本語オノマトペのニュアンス学習システム
著者: 楊, 碩
橋本, 敬
李, 冠宏
李, 暁燕
キーワード: Japanese onomatopoeia
creation task
implicit and explicit nuance
formal rules
second language acquisition
発行日: 2015-01-06
出版者: 人工知能学会
誌名: 人工知能学会論文誌
巻: 30
号: 1
開始ページ: 331
終了ページ: 339
DOI: 10.1527/tjsai.30.331
抄録: Japanese onomatopoeia is an important element to express feelings and experiences lively. It is very difficult for Japanese learners to acquire onomatopoeia, especially, its nuance. In this paper, based on traditional L2 learning theories, we propose a new learning method to improve the efficiency of learning Japanese onomatopoeias' nuance - both explicit and implicit - for non-native speakers. The method for learning implicit nuance of onomatopoeia consists of three elements. First is studying the formal rules representing the explicit nuances of onomatopoeic words. Second is creating new onomatopoeic words by learners to utilize those formal rules. The last is giving feedback of relevance of the onomatopoeias created. We then show a learning system implementing the proposed method. In addition, to verify the effectiveness of the proposed method and the learning system, we conducted an experiment involving two groups of subjects. While the experiment group covers all the three elements of the proposed method, the control group involves no creation process, which is supposed to be a core element of our proposed method, instead, does an assessment process in which the participants assess the appropriateness of onomatopoeic words presented. Both groups were required to take two tests, before and after going through the learning process. The learning effect is defined as the difference between the scores gained from pre-learning test and post-learning test. The result confirms that the proposed method has significant effect in learning onomatopoeia for non-native speakers. Moreover, the comparison against the control group shows that the creation process is the key to bring the learning effect.
Rights: Copyright (C) 2015 人工知能学会. 楊碩, 橋本敬, 李冠宏, 李暁燕, 人工知能学会論文誌, 30(1), 2015, 331-339. http://dx.doi.org/10.1527/tjsai.30.331
URI: http://hdl.handle.net/10119/12896
資料タイプ: publisher
出現コレクション:a10-1. 雑誌掲載論文 (Journal Articles)


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