Method evidence record
Multilingual GRU
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.
Source record
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Multilingual Gated Recurrent Unit
Taxonomic method record · ml-model / deep-learning
- 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. · URL
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