Speakers
Description
This paper presents TermScout, a GPT-based tool developed to support the initial stage of terminology management by identifying candidate terms in specialised texts. The study evaluates TermScout using a corpus focused on cochlear implantation, assessing both English term extraction and the generation of Croatian equivalents. TermScout identified 100 English candidate terms from a specialised textbook, while Croatian equivalents were generated either directly by TermScout or through a subsequent process utilising TermAI. An independent term validation tool was used to assess all results. The tool demonstrated strong performance in English term extraction, achieving a validity rate of 92%. In contrast, generating Croatian equivalents proved more challenging, with validity rates of 22% for TermScout and 29% for TermAI. These findings indicate that concept identification and bilingual term generation are distinct tasks that require distinct linguistic and terminological expertise. The study underscores the potential of AI-assisted workflows for terminology management, while emphasising the continued need for expert validation.