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Found 7 papers, 3 papers with code
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese
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.
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese
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.
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation
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.
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems
While translating between East Asian languages, many works have discovered clear advantages of using characters as the translation unit.
Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation
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.
