TY - GEN
T1 - A corpus-based tool for exploring domain-specific collocations in English
AU - Huang, Ping Yu
AU - Chen, Chien Ming
AU - Tsao, Nai Lung
AU - Wible, David
N1 - Publisher Copyright:
© 2013 by Ping-Yu Huang, Chien-Ming Chen, Nai-Lung Tsao, and David Wible.
PY - 2013
Y1 - 2013
N2 - Coxhead’s (2000) Academic Word List (AWL) has been frequently used in EAP classrooms and re-examined in light of various domain-specific corpora. Although well-received, the AWL has been criticized for ignoring the fact that words tend to show irregular distributions and be used in different ways across disciplines (Hyland and Tse, 2007). One such difference concerns collocations. Academic words (e.g. analyze) often co-occur with different words across domains and contain different meanings. What EAP students need is a “disciplinebased lexical repertoire” (p.235). Inspired by Hyland and Tse, we develop an online corpus-based tool, TechCollo, which is meant for EAP students to explore collocations in one domain or compare collocations across disciplines. It runs on textual data from six specialized corpora and utilizes frequency, traditional mutual information, and normalized MI (Wible et al., 2004) as measures to decide whether co-occurring word pairs constitute collocations. In this article we describe the current released version of TechCollo and how to use it in EAP studies. Additionally, we discuss a pilot study in which we used TechCollo to investigate whether the AWL words take different collocates in different domainspecific corpora. This pilot basically confirmed Hyland and Tse and demonstrates that many AWL words show uneven distributions and collocational differences across domains.
AB - Coxhead’s (2000) Academic Word List (AWL) has been frequently used in EAP classrooms and re-examined in light of various domain-specific corpora. Although well-received, the AWL has been criticized for ignoring the fact that words tend to show irregular distributions and be used in different ways across disciplines (Hyland and Tse, 2007). One such difference concerns collocations. Academic words (e.g. analyze) often co-occur with different words across domains and contain different meanings. What EAP students need is a “disciplinebased lexical repertoire” (p.235). Inspired by Hyland and Tse, we develop an online corpus-based tool, TechCollo, which is meant for EAP students to explore collocations in one domain or compare collocations across disciplines. It runs on textual data from six specialized corpora and utilizes frequency, traditional mutual information, and normalized MI (Wible et al., 2004) as measures to decide whether co-occurring word pairs constitute collocations. In this article we describe the current released version of TechCollo and how to use it in EAP studies. Additionally, we discuss a pilot study in which we used TechCollo to investigate whether the AWL words take different collocates in different domainspecific corpora. This pilot basically confirmed Hyland and Tse and demonstrates that many AWL words show uneven distributions and collocational differences across domains.
UR - http://www.scopus.com/inward/record.url?scp=84922829870&partnerID=8YFLogxK
M3 - 會議論文篇章
AN - SCOPUS:84922829870
T3 - 27th Pacific Asia Conference on Language, Information, and Computation, PACLIC 27
SP - 542
EP - 549
BT - 27th Pacific Asia Conference on Language, Information, and Computation, PACLIC 27
PB - National Chengchi University
T2 - 27th Pacific Asia Conference on Language, Information, and Computation, PACLIC 2013
Y2 - 21 November 2013 through 24 November 2013
ER -