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Modern Linguistics 2025
多模态机器翻译发展现状研究
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Abstract:
随着科学技术的高速发展，多模态机器翻译(Multimodal Machine Translation, MMT)作为新兴的计算机辅助翻译技术，日益受到关注。本文聚焦于多模态机器翻译的发展现状，深入剖析其定义、技术路径、应用领域以及面临的挑战，并探讨其对翻译变革的影响。通过对相关文献的梳理和技术方法的分析，全面呈现多模态机器翻译的研究进展和实际应用场景，同时针对其面临的挑战提出相应的解决策略，旨在为该领域的进一步研究提供坚实的理论基础和有益的参考，推动多模态机器翻译技术的持续发展和在翻译实践中的更广泛应用。
The rapid advancement of science and technology has propelled Multimodal Machine Translation (MMT) into the spotlight as a cutting-edge computer-aided translation technology. This paper centers on the current development status of MMT, delving into its definition, technical pathways, application domains, challenges, and implications for translation transformation. By meticulously examining relevant literature and technical approaches, it offers a comprehensive overview of MMT’s research progress and real-world applications. Moreover, it offers targeted solutions to the encountered challenges and contemplates the impact of MMT on the translation landscape, thereby laying a robust theoretical groundwork for further exploration and propelling the ongoing evolution and practical deployment of MMT technology within the translation realm.
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