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@article{1322310,
author = {Thomas, James Edward and Kilgariff, Adam and Smith, Simon and Marcowitz, Fredrik},
article_location = {Paris},
article_number = {1},
keywords = {corpora; language teaching; Sketch Engine; SKELL; learner corpus; data-driven learning},
language = {eng},
issn = {1386-1204},
journal = {Revue Française de Linguistique Appliquée},
title = {Corpora and Language Learning with the Sketch Engine and SKELL},
url = {http://www.rfla-journal.org/},
volume = {20},
year = {2015}
}
TY - JOUR
ID - 1322310
AU - Thomas, James Edward - Kilgariff, Adam - Smith, Simon - Marcowitz, Fredrik
PY - 2015
TI - Corpora and Language Learning with the Sketch Engine and SKELL
JF - Revue Française de Linguistique Appliquée
VL - 20
IS - 1
SP - 61-80
EP - 61-80
PB - Publications linguistiques
SN - 13861204
KW - corpora
KW - language teaching
KW - Sketch Engine
KW - SKELL
KW - learner corpus
KW - data-driven learning
UR - http://www.rfla-journal.org/
L2 - http://www.rfla-journal.org/
N2 - 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.
ER -
THOMAS, James Edward, Adam KILGARIFF, Simon SMITH a Fredrik MARCOWITZ. Corpora and Language Learning with the Sketch Engine and SKELL. \textit{Revue Fran\c caise de Linguistique Appliquée}. Paris: Publications linguistiques, roč.~20, č.~1, s.~61-80. ISSN~1386-1204. 2015.
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