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Multimodal Neural Machine Translation: A Survey of the State of the Art (2025.emnlp-main)

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Challenge: Multimodal neural machine translation (MNMT) is a task that aims to translate text into the target language using neural networks.
Approach: They propose to integrate other modalities with textual data to enhance translation performance.
Outcome: The proposed task aims to integrate visual modality with textual data to improve translation quality.

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