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Computer science is a fast-moving and must-learn discipline, with a high lexical density of conceptually- demanding technical vocabulary. This study seeks to identify technical vocabulary used within the discipline of computer science through the corpus-based methodology. A specialized corpus of 135 research articles in computer science was built, comprised of 1,260,460 running words and for the analysis, AntWordProfiler was utilized. The corpus-driven analysis demonstrated that the GSL accounted for 71%. GSL and AWL’s combination achieved 83.1% of the computer science corpus, less than the 95% lexical threshold suggested for optimal comprehension. These results highlight the need for a mastery of technical lexis in computer science, which was found to be technical; a total of 545 field-oriented technical words were identified.
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- Publisher :The Modern Linguistic Society of Korea
- Publisher(Ko) :한국현대언어학회
- Journal Title :The Journal of Studies in Language
- Journal Title(Ko) :언어연구
- Volume : 36
- No :4
- Pages :487-497
- DOI :https://doi.org/10.18627/jslg.36.4.202102.487