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多语言生成对抗网络 (Multilingual GAN)

多语言生成对抗网络 (Multilingual GAN) 将生成对抗框架与跨语言组件相结合——共享编码器、语言条件生成器和语言判别器——从而使单个模型能够同时生成或对齐多种语言的表示。它应用于跨语言文本生成、机器翻译、多语言数据增强和语言不变特征学习。

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来源

  1. Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Nets. Advances in Neural Information Processing Systems (NeurIPS), 27. link
  2. Chen, X., Shi, Z., Qiu, X., & Huang, X. (2018). Adversarial Multi-lingual Neural Relation Extraction. Proceedings of the 27th International Conference on Computational Linguistics (COLING), 1156–1166. link

如何引用本页

ScholarGate. (2026, June 3). Multilingual Generative Adversarial Network. ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-gan

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ScholarGateMultilingual GAN (Multilingual Generative Adversarial Network). 于 2026-06-15 检索自 https://scholargate.app/zh/deep-learning/multilingual-gan · 数据集: https://doi.org/10.5281/zenodo.20539026