Prediction of learner native language by writing error pattern

Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationLearning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings
    EditorsPanayiotis Zaphiris, Andri Ioannou
    PublisherSpringer Verlag
    Pages87-96
    Number of pages10
    ISBN (Print)9783319206080
    DOIs
    Publication statusPublished - Jan 1 2015
    Event2nd 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, United States
    Duration: Aug 2 2015Aug 7 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9192
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
    CountryUnited States
    CityLos Angeles
    Period8/2/158/7/15

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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