The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Neural Machine Translation: A Review
Open accessAbstract
The field of machine translation (MT), the automatic translation of written text from one natural language into another, has experienced a major paradigm shift in recent years. Statistical MT, which mainly relies on various count-based models and which used to dominate MT research for decades, has largely been superseded by neural machine translation (NMT), which tackles translation with a single neural network. In this work we will trace back the origins of modern NMT architectures to word and sentence embeddings and earlier examples of the encoder-decoder network family. We will conclude with a short survey of more recent trends in the field.
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
Gradient-based learning applied to document recognition
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Rethinking the Inception Architecture for Computer Vision
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Xception: Deep Learning with Depthwise Separable Convolutions
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A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Kalyan, K. S. (2024) · Natural Language Processing Journal · doi:10.1016/j.nlp.2023.100048 · Cited by 335
Neural Machine Translation for Low-resource Languages: A Survey
Ranathunga, S., Lee, E.-S. A., Prifti Skenduli, M., Shekhar, R., Alam, M., & Kaur, R. (2023) · ACM Computing Surveys · doi:10.1145/3567592 · Cited by 313
Survey on reinforcement learning for language processing
Uc-Cetina, V., Navarro-Guerrero, N., Martin-Gonzalez, A., Weber, C., & Wermter, S. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-022-10205-5 · Cited by 177
Knowledge Editing for Large Language Models: A Survey
Wang, S., Zhu, Y., Liu, H., Zheng, Z., Chen, C., & Li, J. (2025) · ACM Computing Surveys · doi:10.1145/3698590 · Cited by 79
A Scenario-Generic Neural Machine Translation Data Augmentation Method
Liu, X., He, J., Liu, M., Yin, Z., Yin, L., & Zheng, W. (2023) · Electronics · doi:10.3390/electronics12102320 · Cited by 78
Metadata
- Authors
- Stahlberg, F.
- Venue
- Journal of Artificial Intelligence Research
- Publisher
- AI Access Foundation
- Published
- 2020-10-02
- Volume
- 69
- Pages
- 343-418
- ISSN
- 1076-9757 (ISSN-L)
- OpenAlex
- W2992693294
- Cited by
- 397
- References
- 56
- FWCI
- 13.83
- Type
- journal article
- Language
- en
- Open access
- diamond
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