The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nematus: a Toolkit for Neural Machine Translation
Open accessAbstract
Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nădejde. Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. 2017.
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Cites
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
ADADELTA: An Adaptive Learning Rate Method
Zeiler, M. D. (2012) · arXiv · doi:10.48550/arxiv.1212.5701 · Cited by 5,322
A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU
Chen, B., & Cherry, C. (2014) · Proceedings of the Ninth Workshop on Statistical Machine Translation · doi:10.3115/v1/w14-3346 · Cited by 191
Cited by
A Call for Clarity in Reporting BLEU Scores
Post, M. (2018) · Proceedings of the Third Conference on Machine Translation: Research Papers · doi:10.18653/v1/w18-6319 · Cited by 2,112
A Survey of the Usages of Deep Learning for Natural Language Processing
Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2979670 · Cited by 1,836
From Recognition to Cognition: Visual Commonsense Reasoning
Zellers, R., Bisk, Y., Farhadi, A., & Choi, Y. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00688 · Cited by 769
Nguyen (2022) · doi:10.1145/3453476 · Cited by 286
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
Wang, C., & Sennrich, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.326 · Cited by 118
Self-citationSix Challenges for Neural Machine Translation
Koehn, P., & Knowles, R. (2017) · Proceedings of the First Workshop on Neural Machine Translation · doi:10.18653/v1/w17-3204 · Cited by 184
Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., & Lin, J. (2020) · arXiv · doi:10.48550/arxiv.2005.02230 · Cited by 62
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Choshen, L., Fox, L., Aizenbud, Z., & Abend, O. (2019) · arXiv · doi:10.48550/arxiv.1907.01752 · Cited by 28
Metadata
- Authors
- Sennrich, R., Firat, O., Cho, K., Birch, A., Haddow, B., Hitschler, J., Junczys-Dowmunt, M., Läubli, S., Miceli Barone, A. V., Mokry, J., & Nadejde, M.
- Venue
- Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
- Published
- 2017
- Pages
- 65-68
- OpenAlex
- W2594229957
- Cited by
- 291
- References
- 3
- FWCI
- 30.11
- Type
- conference paper
- Language
- en
- Open access
- gold
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