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Low-Resource Neural Machine Translation Improvement Using Source-Side Monolingual Data

Despite the many proposals to solve the neural machine translation (NMT) problem of low-resource languages, it continues to be difficult. The issue becomes even more complicated when few resources cover only a single domain. In this paper, we discuss the applicability of a source-side monolingual da...

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Hlavní autoři: Atnafu Lambebo Tonja, Olga Kolesnikova, Alexander Gelbukh, Grigori Sidorov
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2023-01-01
Edice:Applied Sciences
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On-line přístup:https://www.mdpi.com/2076-3417/13/2/1201
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