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multimodal machine translation

56 papers

MMT

Papers

A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation AACL 2025 Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models NAACL 2025 GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation EMNLP 2025 Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation EMNLP 2025 Letting Uncertainty Guide Your Multimodal Machine Translation UAI 2025 Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation ACL 2025 Multimodal Machine Translation with Text-Image In-depth Questioning ACL 2025 Towards Zero-Shot Multimodal Machine Translation NAACL 2025 VQA-Augmented Machine Translation with Cross-Modal Contrastive Learning EMNLP 2025 Whisper-UT: A Unified Translation Framework for Speech and Text EMNLP 2025 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024 Assessing the Role of Imagery in Multimodal Machine Translation EMNLP 2024 English-to-Japanese Multimodal Machine Translation Based on Image-Text Matching of Lecture Videos ACL 2024 English-to-Low-Resource Translation: A Multimodal Approach for Hindi, Malayalam, Bengali, and Hausa EMNLP 2024 LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation EMNLP 2024 Soul-Mix: Enhancing Multimodal Machine Translation with Manifold Mixup ACL 2024 UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation COLING 2024 Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs EMNLP 2024 Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation ACL 2023 BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation ACL 2023 Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation EMNLP 2023 Choosing What to Mask: More Informed Masking for Multimodal Machine Translation ACL 2023 CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation ICCV 2023 Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs EMNLP 2023 Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination ACL 2023