A Comparative Experiment of Traditional Tools and LLM Tools in Terminology Extraction: Sketch Engine and ChatGPT as Examples
Abstract
Terminology plays a pivotal role in both our everyday and professional lives. Identifying widely accepted expressions marks the beginning of translation and interpreting work, while reviewing and refining terminology completes the process. With the rise of various Large Language Model (LLM) tools and the widespread speculation that LLMs may replace many translators and interpreters in the market, newcomers to the field may feel uncertain about how to navigate the constantly evolving landscape of the profession. Given the undeniable importance of terminology work, the question arises: How well do LLM tools perform in one of the most time-consuming aspects of translation and interpretation work—terminology extraction (TE)?
 
				Пріоритети сучасної філології: теорія і практика : матеріали Х Міжнародної науково-практичної конференції молодих учених
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Pages
							140-145
						
					Published
																						June  9, 2025
																				
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					Copyright (c) 2025 Press of the Poltava V.G. Korolenko National Pedagogical University
				
			
						
															
																																																																												
												
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ISBN-13 (15)
											978-966-2538-89-2
										
									How to Cite
Li, X. (2025). A Comparative Experiment of Traditional Tools and LLM Tools in Terminology Extraction: Sketch Engine and ChatGPT as Examples. In Пріоритети сучасної філології: теорія і практика : матеріали Х Міжнародної науково-практичної конференції молодих учених (pp. 140–145). Press of the Poltava V.G. Korolenko National Pedagogical University. https://doi.org/10.33989/pnpu.791.c3288
 
				 
				 
				