Word surprisal predicts N400 amplitude during reading

Stefan L. Frank, Leun J. Otten, Giulia Galli, Gabriella Vigliocco

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Original languageEnglish
    Title of host publicationPublished in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. Stroudsburg: Association for Computational Linguistics (ACL), pp.878-883. Revised version published as: Frank, Stefan L., Otten, Leun J., Galli, Giulia and Vigliocco, Gabriella (2015) The ERP response to the amount of information conveyed by words in sentences. Brain and Language, 140, pp. 1-11. Organising Body: Association for Computational Linguistics Organising Body: Association for Computational Linguistics
    Publication statusPublished - Aug 2013

    Bibliographical note

    Note: Published in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. Stroudsburg: Association for Computational Linguistics (ACL), pp.878-883.

    Revised version published as: Frank, Stefan L., Otten, Leun J., Galli, Giulia and Vigliocco, Gabriella (2015) The ERP response to the amount of information conveyed by words in sentences. Brain and Language, 140, pp. 1-11.

    Organising Body: Association for Computational Linguistics

    Organising Body: Association for Computational Linguistics

    Keywords

    • Psychology

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