Linguistic feature template integration for Chinese-Vietnamese neural machine translation

Zhiqiang YU, Yantuan XIAN, Zhengtao YU, Yuxin HUANG, Junjun GUO

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Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (3) : 163344. DOI: 10.1007/s11704-022-1297-0
Artificial Intelligence
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Linguistic feature template integration for Chinese-Vietnamese neural machine translation

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Zhiqiang YU, Yantuan XIAN, Zhengtao YU, Yuxin HUANG, Junjun GUO. Linguistic feature template integration for Chinese-Vietnamese neural machine translation. Front. Comput. Sci., 2022, 16(3): 163344 https://doi.org/10.1007/s11704-022-1297-0

References

[1]
Sennrich R Zhang B. Revisiting low-resource neural machine translation: a case study. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019, 211– 221
[2]
Cao Q Xiong D. Encoding gated translation memory into neural machine translation. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018, 3042– 3047
[3]
Wang Y Xia Y Tian F Gao F Qin T Zhai C Liu T Y. Neural machine translation with soft prototype. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2019, 567
[4]
Tran H A , Huang H , Tran P , Shi S , Nguyen H . Preordering for Chinese-Vietnamese statistical machine translation. IEICE Transactions on Information and Systems, 2019, 102( 2): 375– 382
[5]
He J Yu Z Lv C Lai H Gao S Zhang Y. Language post positioned characteristic based Chinese-Vietnamese statistical machine translation method. In: Proceedings of the 2017 International Conference on Asian Language Processing (IALP). 2017, 180– 184
[6]
Nguyen D Q Vu T Nguyen D Q Dras M Johnson M. From word segmentation to POS tagging for Vietnamese. In: Proceedings of the Australasian Language Technology Association Workshop 2017. 2017, 108– 113

Acknowledgements

This work was supported by the National Key Research and Development Plan Project (2019QY1800), and the National Natural Science Foundation of China (Grant Nos. 61732005, 61672271, 61761026, and 61866020)

Supporting Information

The supporting information is available online at journal.hep.cn and link.springer.com.

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