Noorzan Hj. Mohd. Noor
Universiti Teknologi MARA
Shah Alam
Date: 26 October 2001
Time: 11.00-11.30
This paper presents a new departure in the methodological and theoretical
frameworks in quantitative and qualitative research in the application
of corpus linguistics to language teaching. The concentration is
on the teaching of Professional English for Business Communication in ESP
(English for Specific Purpose). This research is based on a corpus
of commercial banking and finance texts extracted from the 100-million
word British national Corpus (BNC). The methodology employed is refinement
of lexico-grammatical analysis, using available corpus search and retrieval
software. The analysis is focussed on interdisciplinary perspectives
incorporating the benefits of both qualitative and quantitative research
methodologies. Analysis is on multi-word combinations of lengths
of up to 10-14 word combinations. Based on all the levels of analyses,
patterns of lexical and grammatical variability and co-occurrence discovered
are represented in the form of finite-state grammar networks.
It is claimed that this method uncovers the ramifications of both formulaic
and variable components of the noun phrase in business and professional
English. Thus the method has both practical workplace literacy and
pedagogical applications in bringing together the teaching of commercial
and financial subject matter and the teaching of ESP, as an international
vehicle of communication in this domain.
The paper provides the relevant educational contexts in ESP, ESL and
SLA. The step-by-step methodology starting from the overview of corpus
extraction methods employed right up to the progressive concentration on
multi-word analyses are also presented. The pedagogical conclusions
are drawn based on the research and the implications for the future are
discussed and highlighted. Recommendations on the suggested teaching
materials formulated based on the research are also presented. The
paper also provides a rather comprehensive analysis of multi-word combinations
found based on the research.