J 2015

Corpora and Language Learning with the Sketch Engine and SKELL

THOMAS, James Edward, Adam KILGARIFF, Simon SMITH and Fredrik MARCOWITZ

Basic information

Original name

Corpora and Language Learning with the Sketch Engine and SKELL

Authors

THOMAS, James Edward (36 Australia, belonging to the institution), Adam KILGARIFF (826 United Kingdom of Great Britain and Northern Ireland, guarantor), Simon SMITH (826 United Kingdom of Great Britain and Northern Ireland) and Fredrik MARCOWITZ (826 United Kingdom of Great Britain and Northern Ireland)

Edition

Revue Française de Linguistique Appliquée, Paris, Publications linguistiques, 2015, 1386-1204

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

60200 6.2 Languages and Literature

Country of publisher

France

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 0.031

RIV identification code

RIV/00216224:14210/15:00085436

Organization unit

Faculty of Arts

UT WoS

000355571100005

Keywords in English

corpora; language teaching; Sketch Engine; SKELL; learner corpus; data-driven learning

Tags

Tags

International impact, Reviewed
Změněno: 4/5/2016 13:43, Jeffrey Alan Vanderziel, B.A.

Abstract

V originále

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.