Process / pipeline
机器翻译
机器翻译（MT）是一种自然语言处理任务，可自动将一种语言的文本转换为另一种语言。现代机器翻译基于神经序列到序列模型——由 Bahdanau 等人（2015）引入的注意力机制以及 Vaswani 等人（2017）的 Transformer 架构——它拓宽了多语言数据分析和研究的来源获取途径。
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来源
- Bahdanau, D., Cho, K. & Bengio, Y. (2015). Neural Machine Translation by Jointly Learning to Align and Translate. International Conference on Learning Representations (ICLR). link ↗
- Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. & Polosukhin, I. (2017). Attention Is All You Need. Advances in Neural Information Processing Systems (NeurIPS). link ↗
如何引用本页
ScholarGate. (2026, June 1). Machine Translation. ScholarGate. https://scholargate.app/zh/text-mining/machine-translation
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