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        <title>Multimodal Neural Machine Translation: A Survey of the State of the Art</title>
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        <namePart type="given">Yi</namePart>
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            <title>Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing</title>
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    <abstract>Multimodal neural machine translation (MNMT) has received increasing attention due to its widespread applications in various fields such as cross-border e-commerce and cross-border social media platforms. The task aims to integrate other modalities, such as the visual modality, with textual data to enhance translation performance. We survey the major milestones in MNMT research, providing a comprehensive overview of relevant datasets and recent methodologies, and discussing key challenges and promising research directions.</abstract>
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        <date>2025-11</date>
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%0 Conference Proceedings
%T Multimodal Neural Machine Translation: A Survey of the State of the Art
%A Feng, Yi
%A Li, Chuanyi
%A He, Jiatong
%A Hou, Zhenyu
%A Ng, Vincent
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F feng-etal-2025-multimodal
%X Multimodal neural machine translation (MNMT) has received increasing attention due to its widespread applications in various fields such as cross-border e-commerce and cross-border social media platforms. The task aims to integrate other modalities, such as the visual modality, with textual data to enhance translation performance. We survey the major milestones in MNMT research, providing a comprehensive overview of relevant datasets and recent methodologies, and discussing key challenges and promising research directions.
%U https://aclanthology.org/2025.emnlp-main.1125/
%P 22141-22158

Markdown (Informal)

[Multimodal Neural Machine Translation: A Survey of the State of the Art](https://aclanthology.org/2025.emnlp-main.1125/) (Feng et al., EMNLP 2025)

• Multimodal Neural Machine Translation: A Survey of the State of the Art (Feng et al., EMNLP 2025)

ACL

• Yi Feng, Chuanyi Li, Jiatong He, Zhenyu Hou, and Vincent Ng. 2025. Multimodal Neural Machine Translation: A Survey of the State of the Art. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 22141–22158, Suzhou, China. Association for Computational Linguistics.