Machine learningDeep learning / NLP / CV
多语言GRU
多语言GRU是一种门控循环单元（Gated Recurrent Unit, GRU）网络，它在跨越多种语言的文本数据上进行训练，能够对跨越语言边界的、对语言敏感的任务（如情感分析、命名实体识别和机器翻译）进行序列建模，而无需为每种语言单独的模型。
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来源
- Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. Proceedings of EMNLP 2014, 1724–1734. DOI: 10.3115/v1/D14-1179 ↗
- Conneau, A., Lample, G., Ranzato, M., Denoyer, L., & Jegou, H. (2018). Word Translation Without Parallel Data. Proceedings of ICLR 2018. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual Gated Recurrent Unit. ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-gru
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