Machine learningDeep learning / NLP / CV
多语言循环神经网络
多语言循环神经网络（Multilingual RNN）将标准的循环神经网络（RNN）架构——该架构通过维护隐藏状态来逐步处理序列——应用于跨越两种或多种语言的数据。通过在多语言语料库上进行训练或跨语言共享参数，模型可以学习到有用的跨语言序列表示，用于翻译、标注、分类和语言建模任务。
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Method map
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来源
- Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179–211. DOI: 10.1207/s15516709cog1402_1 ↗
- Recurrent neural network. Wikipedia. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual Recurrent Neural Network (Cross-lingual RNN). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-recurrent-neural-network
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 门控循环单元 (GRU)深度学习↔ compare
- 长短期记忆网络（LSTM）深度学习↔ compare
- 多语言长短期记忆网络深度学习↔ compare
- 多语言 Transformer深度学习↔ compare
- 循环神经网络深度学习↔ compare