CASIA OpenIR
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Modal Contrastive Learning Based End-to-End Text Image Machine Translation 期刊论文
IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), 2023, 卷号: 32, 期号: 32, 页码: 2153-2165
作者:  Ma, Cong;  Han, Xu;  Wu, Linghui;  Zhang, Yaping;  Zhao, Yang;  Zhou, Yu;  Zong, Chengqing
Adobe PDF(6551Kb)  |  收藏  |  浏览/下载:43/20  |  提交时间:2024/06/26
Transformers  Machine translation  Decoding  Semantics  Pipelines  Text recognition  Task analysis  Text image machine translation  contrastive learning  text image recognition  machine translation  
Transformer: A General Framework from Machine Translation to Others 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 514-538
作者:  Yang Zhao;  Jiajun Zhang;  Chengqing Zong
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载:58/17  |  提交时间:2024/04/23
Neural machine translation, Transformer, document neural machine translation (NMT), multimodal NMT, low-resource NMT  
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation 会议论文
, Punta Cana, Dominican Republic, 2021-11-7
作者:  Huang X(黄鑫);  Zhang JJ(张家俊);  Zong CQ(宗成庆)
Adobe PDF(1714Kb)  |  收藏  |  浏览/下载:145/50  |  提交时间:2023/06/26
基于跨模态实体信息融合的神经机器翻译方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 6, 页码: 1343-1353
作者:  黄鑫;  张家俊;  宗成庆
Adobe PDF(1710Kb)  |  收藏  |  浏览/下载:201/93  |  提交时间:2023/06/26
实体重构  跨模态学习  多任务学习  多模态机器翻译  
Contrastive Adversarial Training for Multi-Modal Machine Translation 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 卷号: 22, 期号: 6, 页码: 157:1-18
作者:  Huang X(黄鑫);  Zhang JJ(张家俊);  Zong CQ(宗成庆)
Adobe PDF(2387Kb)  |  收藏  |  浏览/下载:261/74  |  提交时间:2023/06/26
contrastive learning  adversarial training  multi-modal machine translation  
Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 期号: 4, 页码: 19
作者:  Wang, Kexin;  Zhou, Yu;  Zhang, Jiajun;  Wang, Shaonan;  Zong, Chengqing
浏览  |  Adobe PDF(1553Kb)  |  收藏  |  浏览/下载:337/105  |  提交时间:2020/06/10
Text representation  graph convolutional networks  loss function