TITLE:
Research on Machine Translation Quality Evaluation of Academic Paper Abstracts: A Case Study of Foreign Language and Literature Papers
AUTHORS:
Shiyu Jia
KEYWORDS:
Machine Translation, Translation Quality, Paper Abstract, Evaluation
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.11,
November
19,
2025
ABSTRACT: Machine translation as one of the important applications in the field of artificial intelligence, plays a crucial role in cross-lingual communication and information transmission. However, the quality of machine translation systems directly affects the accurate conveyance and understanding of information. This research aims to investigate the translation quality of different machine translation systems in translating abstracts of foreign language and literature papers. In this study, we selected Youdao Translate, DeepL, ERNIE Bot, and ChatGPT-3.5 as the research objects for machine translation, and evaluated and analyzed the academic paper abstracts translated by these four machine translation tools, exploring their performance in translating academic paper abstracts.