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| Mạng nơ-ron hồi quy đa ngôn ngữ× | Mạng nơ-ron hồi quy× | |
|---|---|---|
| Lĩnh vực | Học sâu | Học sâu |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1990–2010s | 1986–1990 |
| Người khởi xướng≠ | Elman, J. L. (RNN); multilingual extension by NLP community | Rumelhart, D. E.; Elman, J. L. |
| Loại≠ | Sequential model (cross-lingual) | Sequential neural network |
| Công trình gốc | Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179–211. DOI ↗ | Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179–211. DOI ↗ |
| Tên gọi khác | Multilingual RNN, Cross-lingual RNN, Multi-language RNN, MRNN | RNN, Elman network, Jordan network, simple recurrent network |
| Liên quan≠ | 5 | 3 |
| Tóm tắt≠ | A Multilingual Recurrent Neural Network (Multilingual RNN) applies the standard RNN architecture — which processes sequences step by step while maintaining a hidden state — to data spanning two or more languages. By training on multilingual corpora or sharing parameters across languages, the model learns cross-lingual sequence representations useful for translation, tagging, classification, and language modeling tasks. | A Recurrent Neural Network (RNN) is a class of neural network designed to process sequential data by maintaining a hidden state that carries information across time steps. Introduced in its modern form by Rumelhart et al. (1986) and further shaped by Elman (1990), RNNs became the dominant architecture for sequence modelling in NLP, speech, and time-series analysis before the rise of attention-based models. |
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