Neural machine translation with a polysynthetic low resource language
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software
Link
http://link.springer.com/content/pdf/10.1007/s10590-020-09255-9.pdf
Reference60 articles.
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2. Agić Ž, Vulić I (2019) JW300: A wide-coverage parallel corpus for low-resource languages. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp 3204–3210. Association for Computational Linguistics, Florence, Italy (2019). https://doi.org/10.18653/v1/P19-1310. https://www.aclweb.org/anthology/P19-1310
3. Alosilla-Morales CG (2016) Atuqpa aycha mikhuq kasqanmanta. Kallpa Rev Cult 1(1):711
4. Artetxe M, Labaka G, Agirre E (2018) Unsupervised statistical machine translation. In: Proceedings of the 2018 conference on empirical methods in natural language processing. Association for Computational Linguistics, Brussels, Belgium
5. Artetxe M, Labaka G, Agirre E, Cho K (2018) Unsupervised neural machine translation. In: Proceedings of the sixth international conference on learning representations
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