Knowledge Commons of Institute of Automation,CAS
CCIM: Cross-modal Cross-lingual Interactive Image Translation | |
Ma, Cong1,2![]() ![]() ![]() ![]() ![]() | |
2023-12 | |
会议名称 | Findings of the Association for Computational Linguistics: EMNLP 2023 |
会议录名称 | Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) |
会议日期 | December 6-10, 2023 |
会议地点 | Singapore |
摘要 | Text image machine translation (TIMT) which translates source language text images into tar- get language texts has attracted intensive at- tention in recent years. Although the end- to-end TIMT model directly generates target translation from encoded text image features with an efficient architecture, it lacks the rec- ognized source language information resulting in a decrease in translation performance. In this paper, we propose a novel Cross-modal Cross-lingual Interactive Model (CCIM) to in- corporate source language information by syn- chronously generating source language and tar- get language results through an interactive at- tention mechanism between two language de- coders. Extensive experimental results have shown the interactive decoder significantly out- performs end-to-end TIMT models and has faster decoding speed with smaller model size than cascade models. |
七大方向——子方向分类 | 自然语言处理 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57608 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Zhang, Yaping |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 2.State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing, China 3.Fanyu AI Laboratory, Zhongke Fanyu Technology Co., Ltd, Beijing, China 4.Samsung Research China - Beijing (SRC-B) |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Ma, Cong,Zhang, Yaping,Tu, Mei,et al. CCIM: Cross-modal Cross-lingual Interactive Image Translation[C],2023. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2-EMNLP2023-CCIM- Cr(373KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论