Abstract
Many researchers mentioned about the importance of vocabulary to language learning especially, vocabulary for specific disciplines. However, there are some problems with selection of vocabulary to teach students because some teachers believe their intuition for choosing word families to teach. Therefore, Schmitt and Schmitt (2005) claimed that the best way to determine vocabulary frequency is using the frequency lists compiled from vocabulary databases which is called corpus or corpora. This study is a corpus-based study which aims to develop the lists of high frequency words and identify the proportion of General Service List (GSL), academic word list (AWL), and technical words from chemistry research articles corpus in order to know the proportion of each word types compared with previous studies. A corpus of about 1 million token words was compiled from 300 chemistry research articles which derived equally from sub field of chemistry. RANGE Program was used in this study to identify first 1000 and second 1000 GSL, AWL, and rare words. Then, Rating Scale adapted from Chung and Nation (2003) was used to identify technical vocabulary so that the actual proportion and the lists of vocabulary in chemistry corpus can be derived.
Author Information
Pinrada Nuamjapho, Khon Kaen University, Thailand
Kornwipa Poonpon, Khon Kaen University, Thailand
Paper Information
Conference: ACEID2017
Stream: Linguistics and pedagogy
This paper is part of the ACEID2017 Conference Proceedings (View)
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