Search Results for author: Phuong-Thai Nguyen

Found 6 papers, 3 papers with code

Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese

no code implementations16 Dec 2020 Thi-Vinh Ngo, Phuong-Thai Nguyen, Thanh-Le Ha, Khac-Quy Dinh, Le-Minh Nguyen

Prior works have demonstrated that a low-resource language pair can benefit from multilingual machine translation (MT) systems, which rely on many language pairs' joint training.

Machine Translation Word Similarity

Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation

no code implementations WS 2019 Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen

Among the six challenges of neural machine translation (NMT) coined by (Koehn and Knowles, 2017), rare-word problem is considered the most severe one, especially in translation of low-resource languages.

Machine Translation

How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems

1 code implementation5 Oct 2019 Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen

While translating between East Asian languages, many works have discovered clear advantages of using characters as the translation unit.

Machine Translation

Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation

1 code implementation18 May 2018 Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen, Le-Minh Nguyen

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.

Machine Translation

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