Correlation between an Entropy Based Measure and English Language Learner Proficiency

Brendan Flanagan, Sachio Hirokawa

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    It is important for education systems to analyze and provide an appropriate level of support to meet the needs of learners. An example of this is how the effectiveness of automatic language learner error detection and correction can vary depending on the learner's proficiency level. Covering a wide range of language complexity makes the task of error detection difficult. By predicting the learner's proficiency level, different error models can be applied for different proficiency levels. In this paper, we propose a measure based on the frequency of words in the sentences produced by learners during speaking exams to predict the learner's language proficiency. The proposed measure is compared to the learner's vocabulary size by correlation analysis. The results suggest that there is a stronger correlation between the proposed measure and the proficiency of the learner than the learner's vocabulary size.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    編集者Sachio Hirokawa, Kiyota Hashimoto, Tokuro Matsuo, Tsunenori Mine
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ349-353
    ページ数5
    ISBN(電子版)9781479999583
    DOI
    出版ステータス出版済み - 1月 6 2016
    イベント4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, 日本
    継続期間: 7月 12 20157月 16 2015

    出版物シリーズ

    名前Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015

    その他

    その他4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    国/地域日本
    CityOkayama
    Period7/12/157/16/15

    !!!All Science Journal Classification (ASJC) codes

    • 情報システム
    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • コンピュータ ビジョンおよびパターン認識

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