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Corpora and Language Learning with the Sketch Engine and SKELL

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F15%3A00085436" target="_blank" >RIV/00216224:14210/15:00085436 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.rfla-journal.org/" target="_blank" >http://www.rfla-journal.org/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Corpora and Language Learning with the Sketch Engine and SKELL

  • Original language description

    We introduce the idea of using corpora ? the linguist's name for "big data" ? in language research, and sketch its history, first in linguistics in general, then in language learning and teaching. We then take a careful look at the hazards of using corpora in language learning, and arrive at some maxims for when and how they have a place: firstly, don't scare the students; then, use the corpus when the dictionary does not tell you enough, and moreover, disguise the corpus as a dictionary. We then introduce Sketch Engine, and show how it implements these ideas through SKELL, its language-learner interface. We show how corpora can be used, both in the classroom, and in the background, for syllabus design, where we have used corpora of learner output to identify patterns of overuse and underuse, with implications for what needs teaching.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Revue Française de Linguistique Appliquée

  • ISSN

    1386-1204

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    20

  • Pages from-to

    61-80

  • UT code for WoS article

    000355571100005

  • EID of the result in the Scopus database