Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025

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

Authors
Eri Ester Khairas1, *, Yogi Widiawati2, Ratna Khoirunnisa3, Ika Purnama Sari4, Wanda Assyifa Aurellia3
1Civil Engineering Department, Politeknik Negeri Jakarta, Jakarta, Indonesia
2Electrical Engineering Department, Politeknik Negeri Jakarta, Jakarta, Indonesia
3Mechanical Engineering Department, Politeknik Negeri Jakarta, Jakarta, Indonesia
4Informatics Engineering Department, STIKOM Tunas Bangsa Pematangsiantar, North Sumatera, Indonesia
*Corresponding author. Email: eri.esterkhairas@pnj.ac.id
Corresponding Author
Eri Ester Khairas
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-938-4_57How to use a DOI?
Keywords
AntConc; Corpus Analysis; Engineering Articles; Part of Speech
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2025
ISBN
978-94-6463-938-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-938-4_57How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Eri Ester Khairas
AU  - Yogi Widiawati
AU  - Ratna Khoirunnisa
AU  - Ika Purnama Sari
AU  - Wanda Assyifa Aurellia
PY  - 2025
DA  - 2025/12/31
TI  - Digital Technology in Exploring the Language of Engineering: A Corpus Analysis of Parts of Speech
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025
PB  - Atlantis Press
SP  - 501
EP  - 509
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-938-4_57
DO  - 10.2991/978-94-6463-938-4_57
ID  - Khairas2025
ER  -