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arXiv · 1805.07133

Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation

Thi-Vinh Ngo·Thanh-Le Ha·Phuong-Thai Nguyen·Le-Minh Nguyen
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Abstract

Neural machine translation (NMT) systems have recently obtained state-of-the art in many machine translation systems between popular language pairs because of the availability of data. For low-resourced language pairs, there are few researches in this field due to the lack of bilingual data. In this paper, we attempt to build the first NMT systems for a low-resourced language pairs:Japanese-Vietnamese. We have also shown significant improvements when combining advanced methods to reduce the adverse impacts of data sparsity and improve the quality of NMT systems. In addition, we proposed a variant of Byte-Pair Encoding algorithm to perform effective word segmentation for Vietnamese texts and alleviate the rare-word problem that persists in NMT systems.

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Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen. 2018-05-18. Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation. https://doi.org/10.1109/kse.2018.8573329

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