Discourse Analysis of International Textile Trade Negotiations: Implications for Business English Training

Bei Cui

Article
2025 / Volume 8 / Pages 984-1012
Received 29 May 2025; Accepted 31 July 2025; Published 11 December 2025
https://doi.org/10.31881/TLR.2025.984

Abstract
This study integrates natural language processing (NLP) with engineering linguistics to analyze discourse patterns in international textile trade negotiations from the perspective of textile technology and industrial standards compliance. A multisource corpus was constructed, consisting of 87 hours of negotiation audio and textile-related policy and technical texts, including RCEP textile provisions, ISO textile standards, and enterprise cases from leading manufacturers. To capture linguistic behaviors associated with technical decision-making in textile engineering—such as terminology precision, fiber specification negotiation, testing standard references, and origin-rule interpretation—a dual-channel LSTM model was developed to fuse vocabulary, syntactic, and pragmatic features. Results show that terminology density related to yarn count, fiber content, textile testing specifications, and certification requirements strongly predicts negotiation effectiveness and technical compliance. Based on these findings, an intelligent strategy evaluation system was built to support textile technology management, standard implementation, and quality-oriented trade decision-making. This study provides an engineering-oriented, data-driven framework that enhances communication efficiency and reduces technical risks for textile export enterprises.

Keywords
textiles, ISO textile standards, textile technology, trade negotiations, natural language processing