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| GRU Đa Ngôn Ngữ× | Cổng Lặp Lại Có Cổng (GRU)× | |
|---|---|---|
| Lĩnh vực | Học sâu | Học sâu |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 2014 (GRU); multilingual applications from ~2016 | 2014 |
| Người khởi xướng≠ | Cho, K. et al. (GRU); multilingual extension by NLP community | Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. |
| Loại≠ | Recurrent sequence model (multilingual) | Recurrent neural network with gating |
| Công trình gốc≠ | 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 ↗ | 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. In Proceedings of EMNLP 2014, pp. 1724–1734. link ↗ |
| Tên gọi khác | Multilingual GRU, cross-lingual GRU, multilingual gated recurrent unit, multi-language GRU | GRU, GRU network, gated RNN, GRU cell |
| Liên quan≠ | 4 | 3 |
| Tóm tắt≠ | A Multilingual GRU is a Gated Recurrent Unit network trained on text data spanning multiple languages, enabling sequential modeling of language-sensitive tasks such as sentiment analysis, named entity recognition, and machine translation across language boundaries without requiring separate models per language. | The Gated Recurrent Unit (GRU), introduced by Cho et al. in 2014, is a streamlined recurrent neural network that uses two learned gates — an update gate and a reset gate — to selectively retain or discard information across time steps, enabling effective sequence modelling with fewer parameters than LSTM. |
| ScholarGateBộ dữ liệu ↗ |
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