arXiv:1810.06233
공식 코드 · Papers with Code
UMONS Submission for WMT18 Multimodal Translation Task
원문 초록
This paper describes the UMONS solution for the Multimodal Machine Translation Task presented at the third conference on machine translation (WMT18). We explore a novel architecture, called deepGRU, based on recent findings in the related task of Neural Image Captioning (NIC). The models presented in the following sections lead to the best METEOR translation score for both constrained (English, image) -> German and (English, image) -> French sub-tasks.
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CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Multimodal Machine Translation with Visual Scene Graph Pruning
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Gender Bias in English-to-Greek Machine Translation
TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration
토론
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