P-Transformer: Towards Better Document-to-Document Neural Machine Translation-Reference-Cited by-同舟云学术

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P-Transformer: Towards Better Document-to-Document Neural Machine Translation

Published:2023 Issue: Volume:31 Page:3859-3870
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Li Yachao¹^ORCID,Li Junhui²^ORCID,Jiang Jing¹^ORCID,Tao Shimin³,Yang Hao³^ORCID,Zhang Min²

Affiliation:

1. Key Laboratory of Linguistic and Cultural Computing of Ministry of Education, Northwest Minzu University, Lanzhou, China

2. Institute of Artificial Intelligence, School of Computer Science and Technology, Soochow University, Suzhou, China

3. Huawei Translation Services Center, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Northwest Minzu University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10255243.pdf?arnumber=10255243

Reference54 articles.

1. What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

2. Assessing the Ability of Self-Attention Networks to Learn Word Order

3. Learning to encode position for transformer with continuous dynamical model;liu;Proc Int Conf Mach Learn,0

4. Universal transformers;dehghani;Proc Int Conf Learn Representations,0

5. Document-Level Text Simplification: Dataset, Criteria and Baseline

Cited by 2 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. Document-Level Machine Translation with Effective Batch-Level Context Representation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Enhancing Document-Level Translation of Large Language Model Via Translation Mixed-Instructions;2024

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