Augmenting Neural Machine Translation through Round-Trip Training Approach
The quality of Neural Machine Translation (NMT), as a data-driven approach, massively depends on quantity, quality and relevance of the training dataset. Such approaches have achieved promising results for bilingually high-resource scenarios but are inadequate for low-resource conditions. Generally,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-10-01
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| Series: | Open Computer Science |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/comp.2019.9.issue-1/comp-2019-0019/comp-2019-0019.xml?format=INT |