Computer-Assisted Corpus Analysis: An Introduction to Concepts, Processes, and Decisions

Abstract

<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Problem:</b> This tutorial aims to guide readers through key concepts, basic processes, and common decision points that inform computer-assisted corpus-based research in technical, professional, and scientific communication (TPSC). <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Key concepts:</b> Based on our collaborative experiences and an example developed for this tutorial, key concepts of corpus analysis useful to TPSC researchers and practitioners include the following: corpus location, text preparation, and programming language and software selection. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Key lessons:</b> These key concepts can be used to establish basic processes and decision points that, in turn, yield lessons related to the usefulness of lexicogrammatical language models and the significance of multidisciplinarity. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Implications:</b> Although corpus research is a growing and important part of the field of TPSC, challenges remain in terms of language model variety and ethical considerations. At least in part, these challenges can be met, respectively, by alignment between corpus and analytic tools and reference to the Common Rule and related international standards.