A Computer-Assisted Corpus Analysis （CACA） of Professional Discourse

This paper presents CACA (computer-assisted corpus analysis) conducted by using a compiled representative corpus. As a descriptive study, it explores the written communicative events produced by engineers in the petroleum industry in Malaysia. Language use is commonly analyzed for competence and performance. Competence is best described as the internalized linguistic knowledge as acquired by the learners while the notion of “performance” is best defined as the external evidence of language competence. Therefore, the core of this paper is reflecting actual language use of the language learners in Malaysia. The data are drawn from a sample corpus compiled from the written communicative events in three companies of the petroleum industry in Malaysia. The methodology applied is fundamental as it tends to investigate the linguistic constitutions in the genre-specific corpus of the professional discourse produced. Computer-based syntactical studies are limited as they require hard work and long hours in order to key-in the data and then there is the complex analytic method of describing the findings. In contrast, this paper will demonstrate an uncomplicated method of analysis and also encourage the use of existing POS (part-of speech) tagging software available online.