Computer corpora and the language classroom: on the potential and limitations of computer corpora in language teaching

Published on May 1, 2005in ReCALL1.36
· DOI :10.1017/S0958344005000613
Gunther Kaltenböck11
Estimated H-index: 11
(University of Vienna),
Barbara Mehlmauer-Larcher3
Estimated H-index: 3
(University of Vienna)
With computer corpora firmly established as research tools in linguistics, their application for language teaching purposes is also increasingly advocated to the extent that corpus-based language teaching has even been praised as the new revolution in language teaching (cf. Sinclair, 2004b). This article takes a more critical view and examines some of the potential as well as the limitations of computer corpora in the language classroom, providing practical examples from the British Component of the International Corpus of English. It is argued that only a balanced view, which takes into account both the strengths and weaknesses of computer corpora for language teaching, can ensure their successful integration into the language classroom. The discussion first focuses on the limitations of corpus data, which are identified as ‘externalized’, as opposed to ‘internalized’ language, lacking contextual, as opposed to co-textual, information. On the other hand, computer corpora provide access to information not easily available from other sources, viz. information on frequency of occurrence in various text types, and co-occurrence patterns, e.g. collocation, colligation, semantic prosody). This information, however, also has to be seen in the light of the more general questions of how representative corpus results are and to what extent they are generalisable. The article concludes with a discussion of pedagogical implications of the use of computer corpora, especially with regard to their application as tools for exploratory/discovery learning and as means for promoting learner autonomy.
  • References (26)
  • Citations (40)
#1Andrew PawleyH-Index: 20
606 CitationsSource
106 Citations
#1Henry WiddowsonH-Index: 24
334 Citations
#1Barbara SeidlhoferH-Index: 14
91 Citations
#1Abm TsuiH-Index: 6
20 Citations
#1Gerald Nelson (HKU: University of Hong Kong)H-Index: 10
#2Sean Wallis (UCL: University College London)H-Index: 9
Last.Bas Aarts (UCL: University College London)H-Index: 17
view all 3 authors...
108 Citations
#1Dirk NoëlH-Index: 10
69 Citations
#1Roland Sussex (UQ: University of Queensland)H-Index: 12
22 CitationsSource
110 CitationsSource
229 CitationsSource
Cited By40
#1Nives Mikelić Preradović (University of Zagreb)H-Index: 3
#2Kristina Posavec (University of Zagreb)H-Index: 1
#1Dana GablasovaH-Index: 7
#2Vaclav BrezinaH-Index: 9
Last.Anthony McEneryH-Index: 19
view all 3 authors...
1 Citations
#1Li-Shih Huang (UVic: University of Victoria)H-Index: 1
1 CitationsSource
#1Alex Boulton (University of Lorraine)H-Index: 9
2 CitationsSource
#1Stephen JeacoH-Index: 1
2 CitationsSource
#2Senem Yildiz (Boğaziçi University)H-Index: 4
#1Rania Voskaki (A.U.Th.: Aristotle University of Thessaloniki)H-Index: 1
#2Eleni Tziafa (A.U.Th.: Aristotle University of Thessaloniki)
Last.Kyriaki Ioannidou (A.U.Th.: Aristotle University of Thessaloniki)H-Index: 1
view all 3 authors...
#1Seth Mehl (UCL: University College London)H-Index: 1
#2Sean Wallis (UCL: University College London)H-Index: 9
Last.Bas Aarts (UCL: University College London)H-Index: 17
view all 3 authors...
1 CitationsSource
#1Alfredo UrzuaH-Index: 1
1 CitationsSource