Abstract
This study aims to identify technical words in research articles across sub-disciplines in computer science field. A corpus of research articles in computer science was constructed, comprised of 10,450,035 running words from 1045 research articles across ten sub-disciplines of computer science. The technical word List for research articles in computer science was created by the methods of computer-based analysis and the rating scales. 769 technical word types were identified and listed in Appendix A. The computer science field-oriented technical words list is expected to meet the needs of learners in this field.
Highlights
According to Nation (2001), English words can be classified into four categories: high-frequency words; academic words; technical words and low-frequency words
The technical word List for research articles in computer science was created by the methods of computer-based analysis and the rating scales. 769 technical word types were identified and listed in Appendix A
It shows that words in the Not Found in Any List make up 95.29% of the total types, a most striking coverage by the technical words and low frequency words. 1262 word types were extracted from the Not Found in Any List which met the range and frequency standards
Summary
According to Nation (2001), English words can be classified into four categories: high-frequency words; academic words; technical words and low-frequency words. The discipline-based academic wordlists in certain fields had been developed, such as medicine (Wang, Liang, & Ge, 2008), agriculture (Martínez, Beck, & Panza, 2009), applied linguistics (Vongpumivitch, Huang, & Chang, 2009), business (Chen, Hu, & Ho, 2009), engineer (Ward, 2009), chemistry (Valipouri & Nassaji, 2013), and nursing (Yang, 2015) These discipline-based wordlists cover a large number of academic words, but the technical words strongly related to the specific disciplines do not account for the most part. The two words clinic and symptom are related to the nursing field
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