Digital Technology in Exploring the Language of Engineering: A Corpus Analysis of Parts of Speech

Eri Ester Khairas (), Yogi Widiawati, Ratna Khoirunnisa, Ika Purnama Sari and Wanda Assyifa Aurellia
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Eri Ester Khairas: Politeknik Negeri Jakarta, Civil Engineering Department
Yogi Widiawati: Politeknik Negeri Jakarta, Electrical Engineering Department
Ratna Khoirunnisa: Politeknik Negeri Jakarta, Mechanical Engineering Department
Ika Purnama Sari: STIKOM Tunas Bangsa Pematangsiantar, Informatics Engineering Department
Wanda Assyifa Aurellia: Politeknik Negeri Jakarta, Mechanical Engineering Department

A chapter in Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), 2025, pp 501-509 from Springer

Abstract: Abstract This study investigates the frequency and distribution of parts of speech in engineering articles, aiming to identify the most frequently used categories and their roles in conveying technical information. A total of 313 articles from the IEEE International Professional Communication Conference were analyzed using AntConc, a corpus analysis software. The findings show that prepositions, conjunctions, and verbs dominate engineering writing, with “of,” “and,” and “is” emerging as the most commonly used words. These linguistic patterns suggest that engineering discourse relies heavily on grammatical structures that establish relationships, connect ideas, and describe processes. The study emphasizes the significance of recognizing the contribution of each part of speech to the clarity, precision, and coherence of technical texts. Such insights are valuable for enhancing technical writing practices, supporting effective communication, and informing engineering education. By understanding how language is systematically employed in engineering contexts, professionals and educators can refine both teaching methods and documentation strategies.

Keywords: AntConc; Corpus Analysis; Engineering Articles; Part of Speech (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-938-4_57

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DOI: 10.2991/978-94-6463-938-4_57

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