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Towards Hybrid Neural Machine Translation for English-Latvian
Mārcis Pinnis
84 - 91
10.3233/978-1-61499-701-6-84
Frontiers in Artificial Intelligence and Applications
Volume 289: Human Language Technologies – The Baltic Perspective
Abstract

This paper investigates a hybrid method for translation from English into Latvian by chaining an NMT system with an SMT system in order to cover out-of-vocabulary word translation. Different from other works, the primary translation is handled by the NMT system, and the SMT system acts as a secondary system. Automatic evaluation results have shown that the hybrid method allows improving NMT translation quality by up to three BLEU points.

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