Papers › Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response
Alp Öktem, Mirko Plitt, Grace Tang
We report our experiments in building a domain-specific Tigrinya-to-English neural machine translation system. We use transfer learning from other Ge'ez script languages and report an improvement of 1.3 BLEU points over a classic neural baseline. We publish our development pipeline as an open-source library and also provide a demonstration application.
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