000			01706cam a2200265 4500500
005			20250121121635.0
041			_afre
042			_adc
100	1	0	_aKilgarriff, Adam _eauthor
700	1	0	_a Marcowitz, Fredrik _eauthor
700	1	0	_a Smith, Simon _eauthor
700	1	0	_a Thomas, James _eauthor
245	0	0	_aCorpora and Language Learning with the Sketch Engine and SKELL
260			_c2015.
500			_a88
520			_aWe 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.
690			_alanguage teaching
690			_aSKELL
690			_adata-driven learning
690			_aSketch Engine
690			_alearner corpus
690			_acorpora
786	0		_nRevue française de linguistique appliquée | XX | 1 | 2015-05-20 | p. 61-80 | 1386-1204
856	4	1	_uhttps://shs.cairn.info/journal-revue-francaise-de-linguistique-appliquee-2015-1-page-61?lang=en&redirect-ssocas=7080
999			_c554780 _d554780