Cross-Language Translation Evaluation: A Comparative Analysis of the Quality of English-Chinese Interpretation by AI Models and Strategies for Improvement
Abstrak
Machine translation, as one of the important functions of artificial intelligence, plays an increasingly important role in cross-linguistic communication. The paper is meant to evaluate the performance of domestic up-and-coming AI mod-els in English-Chinese mutual translation tasks in order to analyze their func-tions and effects comparatively and explore strategies to improve the quality of AI translation in the process of both 2 languages. Based on the literature review in the first section, we put forward the hypothesis that there are certain defi-ciencies in AI translation tasks, and that different types of errors will be pro-duced depending on the target language. We will use both quantitative and qual-itative analysis methods, combined with example analysis and the application of the BLEU model, to evaluate the AI translation output in terms of several di-mensions. We also point out the limitations of the study and discuss the main problems of AI translation and propose targeted enhancement strategies in the conclusion part.
Penulis (1)
Tong Su
Akses Cepat
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- CrossRef
- DOI
- 10.63313/llcs.9057
- Akses
- Open Access ✓