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Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language
This article combines three different ideas (splitting words into smaller units, using an extra dataset of a related language pair and using monolingual data) for improving the performance of NMT models on language pairs with limited data.
The Fujitsu DMATH Submissions for WMT21 News Translation and Biomedical Translation Tasks
This paper describes the Fujitsu DMATH systems used for WMT 2021 News Translation and Biomedical Translation tasks.
Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
In order to assess the performance, we construct model based on an attention mechanism encoder-decoder model in which the source language is input to the encoder as a sequence and the decoder generates the target language as a linearized dependency tree structure.
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