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arxiv:2003.11523

Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response

Published on Mar 9, 2020
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Abstract

Domain-specific Tigrinya-to-English neural machine translation system built using transfer learning from Ge'ez script languages shows improved performance over traditional baselines.

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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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