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        Developing, Modelling and Assessing Second Languages

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        Contributor(s)
        Keßler, Jörg-U. (editor)
        Lenzing, Anke (editor)
        Liebner, Mathias (editor)
        Collection
        Knowledge Unlatched (KU); KU Select 2018: HSS Backlist Books
        Number
        102124
        Language
        English
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        Abstract
        This edited volume brings together the work of a number of researchers working in the framework of Processability Theory (PT), a psycholinguistic theory of second language acquisition (SLA) (Pienemann 1998; 2005). The aim of the volume is two-fold: It engages with current issues in both theory development and theory application and focuses on theoretical developments within the framework of PT as well as issues related to second language teaching and assessment. In coordinating approaches to addressing both theoretical and applied aspects of SLA, this volume aims at bridging the gap between theory and practice. It also reflects the richness of debate within the field of PT-based research. The volume is intended for postgraduate students, SLA researchers as well as language teachers.
        URI
        http://library.oapen.org/handle/20.500.12657/25985
        Keywords
        Linguistics; Language Acquisition; Processability Theory; Psycholinguistics
        DOI
        10.1075/palart.5
        ISBN
        9789027267191
        OCN
        945072190
        Publisher
        John Benjamins Publishing Company
        Publisher website
        https://benjamins.com/content/home
        Publication date and place
        2016-06-29
        Grantor
        • Knowledge Unlatched - 102124 - KU Select 2018: HSS Backlist Books
        Classification
        Language acquisition
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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