Co-occurring keywords · papers mentioning both
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