Prediction of learner native language by writing error pattern

Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    1 被引用数 (Scopus)

    抄録

    The native language of a foreign language learner can have an effect on the errors they make because of similarities or differences between the two languages. In order to provide effective error prediction and correction for nonnative English language learners it is important to identify their specific characteristic error patterns that are influenced by their native language. In this paper, we examine analyzing error detection scores to predict the native language of an English language learner. 15 categories of error detection scores are combined to create an error prediction score vector representation of each sentence. The native language is predicted by training an SVM classifier with the error vectors. The results are compared to an SVM classifier trained with just word representations of the learner writing sentences.

    本文言語英語
    ホスト出版物のタイトルLearning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings
    編集者Panayiotis Zaphiris, Andri Ioannou
    出版社Springer Verlag
    ページ87-96
    ページ数10
    ISBN(印刷版)9783319206080
    DOI
    出版ステータス出版済み - 2015
    イベント2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, 米国
    継続期間: 8 2 20158 7 2015

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9192
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    その他

    その他2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
    国/地域米国
    CityLos Angeles
    Period8/2/158/7/15

    All Science Journal Classification (ASJC) codes

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

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