Title of article :
Making a bigger deal of the smaller words: Function words and other key items in research writing by Chinese learners
Author/Authors :
David Y.W. Lee، نويسنده , , Sylvia Xiao Chen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Abstract :
In many mainland Chinese universities, undergraduate students specializing in English language and applied linguistics are
required to write a dissertation, in English, of about 5000 words exploring some aspect of original research. This is a task which is of
considerable difficulty not only at the genre or discourse level but also at the lexico-grammatical level. The teaching of academic
writing in Chinese universities tends to focus on general discourse-level features such as ‘‘move’’ structures, while the more micro,
form-focused knowledge and skills are comparatively underexplored and usually based on intuition or an arbitrary selection of
features.
This paper presents a data-driven, pedagogically oriented analysis of a corpus of 78 Chinese undergraduate dissertations
alongside 2 comparison native-speaker corpora, focusing on characteristically problematic areas, as revealed through keywords
analyses and complementary qualitative investigations of collocations and word clusters. Most of the overuse of words and phrases
turns out to involve function words and high-frequency ‘‘common’’ words which are typically not the focus of academic writing
instruction. These usages are highly patterned rather than random, thus being in principle amenable to teaching using a data-driven
pedagogical approach. The paper argues that by systematically deriving potential teaching items from a learner corpus, EAP writing
pedagogy can be more needs-based and learner-centered, which are two facilitating conditions for successful form-focused
instruction.
# 2009 Elsevier Inc. All rights reserved.
Keywords :
Corpus linguistics , pedagogy , Keywords , Collocations , EAP
Journal title :
JOURNAL OF SECOND LANGUAGE WRITING
Journal title :
JOURNAL OF SECOND LANGUAGE WRITING