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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Better Document-Level Machine Translation with Bayes’ Rule
Lei Yu, Laurent Sartran, Wojciech Stokowiec, et al.
Transactions of the Association for Computational Linguistics (2020) Vol. 8, pp. 346-360
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Neural Machine Translation: A Review
Felix Stahlberg
Journal of Artificial Intelligence Research (2020) Vol. 69, pp. 343-418
Open Access | Times Cited: 254
Findings of the IWSLT 2022 Evaluation Campaign
Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.
(2022), pp. 98-157
Open Access | Times Cited: 76
A Survey on Document-level Neural Machine Translation
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
ACM Computing Surveys (2021) Vol. 54, Iss. 2, pp. 1-36
Closed Access | Times Cited: 71
G-Transformer for Document-Level Machine Translation
Guangsheng Bao, Yue Zhang, Zhiyang Teng, et al.
(2021), pp. 3442-3455
Open Access | Times Cited: 45
Rethinking Document-level Neural Machine Translation
Zewei Sun, Mingxuan Wang, Hao Zhou, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 3537-3548
Open Access | Times Cited: 37
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 6
Data-to-text Generation with Macro Planning
Ratish Puduppully, Mirella Lapata
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 510-527
Open Access | Times Cited: 35
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Qi Liu, Lei Yu, Laura Rimell, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 657-674
Open Access | Times Cited: 19
Deep Learning Classification Model for English Translation Styles Introducing Attention Mechanism
Tian Zhang
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 13
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation
Yinglu Li, Minghan Wang, Jiaxin Guo, et al.
(2022), pp. 239-246
Open Access | Times Cited: 9
A Survey on Document-level Neural Machine Translation: Methods and Evaluation
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 15
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach.
Zewei Sun, Mingxuan Wang, Hao Zhou, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 13
Machine Translation of Mathematical Text
Aditya Ohri, Tanya Schmah
IEEE Access (2021) Vol. 9, pp. 38078-38086
Open Access | Times Cited: 12
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation
Xinglin Lyu, Junhui Li, Zhengxian Gong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 3265-3277
Open Access | Times Cited: 12
A survey of context in neural machine translation and its evaluation
Sheila Castilho, Rebecca Knowles
Natural language processing. (2024), pp. 1-31
Open Access | Times Cited: 1
Capturing document context inside sentence-level neural machine translation models with self-training
Elman Mansimov, Gábor Melis, Lei Yu
(2021), pp. 143-153
Open Access | Times Cited: 10
A Survey on Zero Pronoun Translation
Longyue Wang, Siyou Liu, Mingzhou Xu, et al.
(2023), pp. 3325-3339
Open Access | Times Cited: 3
A benchmark dataset and evaluation methodology for Chinese zero pronoun translation
Mingzhou Xu, Longyue Wang, Siyou Liu, et al.
Language Resources and Evaluation (2023) Vol. 57, Iss. 3, pp. 1263-1293
Closed Access | Times Cited: 3
Exploring Paracrawl for Document-level Neural Machine Translation
Yusser Al Ghussin, Jingyi Zhang, Josef van Genabith
(2023), pp. 1304-1310
Open Access | Times Cited: 3
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation
Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 11266-11278
Open Access | Times Cited: 5
A Comparison of Approaches to Document-level Machine Translation
Zhiyi Ma, Sergey Edunov, Michael Auli
arXiv (Cornell University) (2021)
Open Access | Times Cited: 7
The DeepMind Chinese–English Document Translation System at WMT2020
Lei Yu, Laurent Sartran, Po-Sen Huang, et al.
Empirical Methods in Natural Language Processing (2020), pp. 326-337
Closed Access | Times Cited: 6
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model
Amane Sugiyama, Naoki Yoshinaga
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 5781-5791
Open Access | Times Cited: 6
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training
Linqing Chen, Junhui Li, Zhengxian Gong, et al.
(2021), pp. 2851-2861
Open Access | Times Cited: 6
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
Biao Zhang, Ankur Bapna, Melvin Johnson, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022), pp. 4176-4192
Open Access | Times Cited: 4
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