Multilingual large language model: A survey of resources, taxonomy and frontiers
Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Models to handle and respond to queries in multiple languages, which achieves remarkable …
Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling
Text image machine translation (TIMT) is a task that translates source texts embedded in the
image to target translations. The existing TIMT task mainly focuses on text-line-level images …
image to target translations. The existing TIMT task mainly focuses on text-line-level images …
A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
In recent years, multi-modal machine translation has attracted significant interest in both
academia and industry due to its superior performance. It takes both textual and visual …
academia and industry due to its superior performance. It takes both textual and visual …
Virtual Visual-Guided Domain-Shadow Fusion via Modal Exchanging for Domain-Specific Multi-Modal Neural Machine Translation
Z Hou, J Guo - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Incorporating domain-specific visual information into text poses one of the critical challenges
for domain-specific multi-modal neural machine translation (DMNMT). While most existing …
for domain-specific multi-modal neural machine translation (DMNMT). While most existing …
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
Multi-modal machine translation (MMT) can reduce ambiguity and semantic distortion
compared with traditional machine translation (MT) by utilizing auxiliary information such as …
compared with traditional machine translation (MT) by utilizing auxiliary information such as …