Machine learningDeep learning / NLP / CV
多语言变分自编码器
多语言变分自编码器（ML-VAE）将标准的VAE框架扩展到处理共享概率潜在空间中的多种语言。特定语言的编码器将每种语言的文本映射到通用的连续表示，而特定语言的解码器则重建或翻译该文本。这使得跨语言生成、风格迁移和表示学习成为可能，无论是否使用平行语料库。
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来源
- Zhao, T., Zhang, Y., & Eskenazi, M. (2018). Zero-shot dialog generation with cross-domain latent actions. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue (pp. 1-10). ACL. link ↗
- Lample, G., Conneau, A., Denoyer, L., & Ranzato, M. (2018). Unsupervised machine translation using monolingual corpora only. In International Conference on Learning Representations (ICLR 2018). link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual Variational Autoencoder (ML-VAE). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-variational-autoencoder
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