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
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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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
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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
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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
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