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English-Russian Data Augmentation for Neural Machine Translation
In order to evaluate the quality of the NMT models, firstly, these models have been compared performing a quantitative analysis by means of several standard automatic metrics used in machine translation, and measuring the time spent and the amount of text generated for a good use in the language industry.
On the Effectiveness of Quasi Character-Level Models for Machine Translation
As a result, we found that for data-poor environments, quasi character-level Transformers present a competitive advantage over their large subword-level versions.
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