LSTM vs. GRU for Arabic Machine Translation

Author:

Bensalah Nouhaila,Ayad Habib,Adib Abdellah,Ibn El Farouk Abdelhamid

Publisher

Springer International Publishing

Reference23 articles.

1. Abdelali, A., Darwish, K., Durrani, N., Mubarak, H. Farasa: a fast and furious segmenter for Arabic. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pp. 11–16 (2016)

2. Alqudsi, A., Omar, N., Shaker, K.: Arabic machine translation: a survey. Artif. Intell. Rev. 42(4), 549–572 (2014)

3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2014). Accepted at ICLR 2015 as oral presentation

4. Bensalah, N., Ayad, H., Adib, A., El farouk, A.I.: Combining word and character embeddings in Arabic chatbots. In: Advanced Intelligent Systems for Sustainable Development, AI2SD 2020, Tangier, Morocco (2020)

5. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017)

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