The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Deep Neural Networks in Machine Translation: An Overview
Abstract
Deep neural networks (DNNs) are widely used in machine translation (MT). This article gives an overview of DNN applications in various aspects of MT.
Overview
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Citations
Cites
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Distributed representations, simple recurrent networks, and grammatical structure
Elman, J. L. (1991) · Machine Learning · doi:10.1007/bf00114844 · Cited by 1,354
Fast and Robust Neural Network Joint Models for Statistical Machine Translation
Devlin, J., Zbib, R., Huang, Z., Lamar, T., Schwartz, R., & Makhoul, J. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.3115/v1/p14-1129 · Cited by 481
Cited by
Deep learning in medical image analysis
Shen, D., Wu, G., & Suk, H.-I. (2017) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071516-044442 · Cited by 4,968
The Computational Limits of Deep Learning
Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2020) · arXiv · doi:10.48550/arxiv.2007.05558 · Cited by 538
Emerging Artificial Synaptic Devices for Neuromorphic Computing
Wan, Q., Sharbati, M. T., Erickson, J. R., Du, Y., & Xiong, F. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201900037 · Cited by 303
Kaur, R., Ginige, J. A., & Obst, O. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118997 · Cited by 48
Weighted Quantization-Regularization in DNNs for Weight Memory Minimization Toward HW Implementation
Wess, M., Dinakarrao, S. M. P., & Jantsch, A. (2018) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2018.2857080 · Cited by 38
Metadata
- Authors
- Zhang, J., & Zong, C.
- Venue
- IEEE Intelligent Systems
- Published
- 2015-09
- Volume
- 30
- Issue
- 5
- Pages
- 16-25
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W1910131649
- Cited by
- 200
- References
- 3
- FWCI
- 12.83
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.