FACT: A Dynamic Framework for Adaptive Context-Aware Translation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6207-5_16
Reference40 articles.
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3. Miculicich, L., Ram, D., Pappas, N., Henderson, J.: Document-level neural machine translation with hierarchical attention networks. In: Proceedings of EMNLP, pp. 2947–2954 (2018)
4. Tan, X., Zhang, L., Xiong, D., Zhou, G.: Hierarchical modeling of global context for document-level neural machine translation. In: Proceedings of EMNLP-IJCNLP, pp. 1576–1585 (2019)
5. Zheng, Z., Yue, X., Huang, S., Chen, J.: Towards making the most of context in neural machine translation. In: Proceedings of IJCAI, pp. 3983–3989 (2020)
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