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In-domain Data FTW
Mark Fishel
50 - 57
10.3233/978-1-61499-133-5-50
Frontiers in Artificial Intelligence and Applications
Volume 247: Human Language Technologies – The Baltic Perspective
Abstract

We describe experiments on Estonian-English statistical machine translation with a strong emphasis on domain adaptation. We show that disregarding text domains can harm a translation system and that even a small in-domain corpus can lead to significant translation quality improvements.

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