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Research Article |

Innovative Research on Translation Quality Assessment Models in the New Era

With the deepening of economic globalization, the significance of translation services in economic, cultural, and technological domains has become increasingly pronounced. Yet, determining how to evaluate the quality of translations and ensure their precision and reliability remains a central concern for both the academic and professional realms of translation. This paper offers an in-depth exploration of current models of translation quality assessment, highlighting their limitations, such as restricted applicability, underutilization of technology, absence of standardized evaluation criteria, and some models being excessively theoretical. To address these challenges, this article, integrating insights from contemporary technology and market demands, proposes innovative perspectives and methodologies to bolster translation quality assessment models from various angles. This encompasses refining assessment models from a multifaceted viewpoint, leveraging cutting-edge technology to enhance evaluation outcomes, expediting the dissemination and application of these models, accelerating the establishment of translation corpus resources, and advancing translation quality assessment tools. Furthermore, with the evolution of artificial intelligence and machine learning technologies, methods and tools for translation quality assessment are also continuously advancing. This paper delves into how to synergize these state-of-the-art technologies to elevate the accuracy and efficiency of translation quality evaluation. By contrasting different assessment methodologies, this article aims to provide a comprehensive guide for translators and researchers, assisting them in selecting the evaluation tools and methods best suited to their needs. In essence, this research seeks to furnish novel insights for the optimization of translation quality assessment models, further driving the progression of translation quality evaluation practices.

Translation Quality Assessment, Assessment Model Innovation, Translation Technology

Yu Zhu. (2023). Innovative Research on Translation Quality Assessment Models in the New Era. Humanities and Social Sciences, 11(5), 176-181.

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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