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cs.CL2026
Structure-Preserving Document-Level Data Augmentation via Discourse Parsing
Ruilin Shang, Shilong Hou, Zi Long +1
Data augmentation (DA) plays a vital role in improving model performance in low-resource or limited-supervision scenarios within Natural Language Processing (NLP). Existing DA meth…
cs.CL2025★ 1 cited
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries
Jinze Lv, Jian Chen, Zi Long +2
Most existing multimodal machine translation (MMT) datasets are predominantly composed of static images or short video clips, lacking extensive video data across diverse domains an…
cs.CL2024★ 1 cited
Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets
Zi Long, Zhenhao Tang, Xianghua Fu +3
Recent research in the field of multimodal machine translation (MMT) has indicated that the visual modality is either dispensable or offers only marginal advantages. However, most…