Key Term Extraction Based on a Corpus of Oil and Gas Field Development Discourse

About the author:

Marina A. Kovyazina, Cand. Sci. (Philol.), Associate Professor, Department of English Philology and Translation, Institute of Philology and Journalism, University of Tyumen; makovyazina@mail.ru

Abstract:

The paper presents a research targeted at term extraction based on a text corpus. The author of the research uses the corpus analysis toolkit “AntConc” and the corpus query system “Sketch Engine” to compile the corpus of texts devoted to oil and gas field development processes, stages, and methods, as well as to extract the key terminology of the domain. Several corpus methods are used to identify the terminology inherent in oil and gas field development discourse: analysing word frequency lists, generating a list of key words and terms based on keyness score, and building a distributional thesaurus with the application of the logDice coefficient. As a result of the corpus-based research, the terms synonymous with the key notion “field development” have been grouped, as well as the key domain-specific and general scientific terminology has been extracted.

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