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Exploring the Construction Pathway of a Digital Cultural Heritage Terminology Database Supported by Large Language Models: A Case Study of Shaanxi Province
DOI: https://doi.org/10.62381/H261522
Author(s)
Yajie Shen
Affiliation(s)
Xi’an Fanyi University, Xi’an, Shaanxi, China
Abstract
With the increasing demand for standardized cultural heritage translation in global communication, the construction of specialized terminology resources has become increasingly important. Taking Shaanxi Province as a case study, this paper explores the construction pathway of a digital cultural heritage terminology database supported by Large Language Models (LLMs). Drawing on multimodal cultural heritage resources, the study proposes a Human-in-the-Loop (HITL) collaborative mechanism featuring “Term Pre-generation-Translator Verification-Dynamic Revision” and develops a three-dimensional “Entity-Attribute-Relation” architecture within the Trados Terminology Management Platform. A bilingual terminology database containing 500 terms is established, covering major categories of Shaanxi’s tangible and intangible cultural heritage. The database supports terminology standardization, knowledge organization, and multimodal resource integration, and demonstrates practical value in translation education, translation practice, and cultural tourism international publicity. This paper provides a replicable framework for digital cultural heritage terminology management and contributes to the international communication of regional culture in the era of artificial intelligence.
Keywords
Large Language Models; Digital Cultural Heritage; Terminology Database; Human-in-the-Loop; Multimodal Resources
References
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