Qizeng Sun
Moyi Tech, Iselin, NJ 08830, USA.
*Corresponding author: Qizeng Sun
Abstract
A study was conducted on cross-lingual intelligent interaction integrating natural language processing (NLP) and generative models. The research aimed to clarify the core requirements of cross-lingual communication and to explore the role of technical integration in improving the naturalness and accuracy of interaction. The methodology combined a literature review with typical application analysis, focusing on semantic parsing, generation control, and scenario practice. The results indicate that interaction patterns based on the integration pathway effectively address semantic alignment and contextual consistency issues in cross-lingual dialogue, significantly enhancing the fluency of expression and adaptability to multiple languages. The conclusion highlights that this approach possesses strong scalability and provides valuable reference for cross-lingual applications in educational platforms, international customer service, and public services.
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How to cite this paper
Research on Cross-language Intelligent Interaction Integrating NLP and Generative Models
How to cite this paper: Qizeng Sun. (2025). Research on Cross-language Intelligent Interaction Integrating NLP and Generative Models. Engineering Advances, 5(4), 172-176.
DOI: http://dx.doi.org/10.26855/ea.2025.10.008