Encoder–Decoder Calibration for Multimodal Machine Translation-Reference-Cited by-同舟云学术

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Encoder–Decoder Calibration for Multimodal Machine Translation

Published:2024-08 Issue:8 Volume:5 Page:3965-3973
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Tayir Turghun¹^ORCID,Li Lin¹^ORCID,Li Bei²^ORCID,Liu Jianquan³^ORCID,Lee Kong Aik⁴^ORCID

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. School of Computer Science and Engineering, Northeastern University, Shenyang, China

3. Video Insights Discovery Research Group, Visual Intelligence Research Laboratories, NEC Corporation, Tokyo, Japan

4. Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

NSFC, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10635096/10401981.pdf?arnumber=10401981

Reference46 articles.

1. Attention-based Multimodal Neural Machine Translation

2. Does Multimodality Help Human and Machine for Translation and Image Captioning?

3. Doubly-Attentive Decoder for Multi-modal Neural Machine Translation

4. Attention Strategies for Multi-Source Sequence-to-Sequence Learning

5. DCU-UvA Multimodal MT System Report

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multimodal heterogeneous graph entity-level fusion for named entity recognition with multi-granularity visual guidance;The Journal of Supercomputing;2024-07-22

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