Publication at Faculty of Mathematics and Physics |
2015
Abstract
We present an implementation of domain adaptation by translation model interpolation in the TectoMT translation system with deep transfer. We evaluate the method on six language pairs with a 1000-sentence in-domain parallel corpus, and obtain improvements of up to 3 BLEU points.
The interpolation weights are set uniformly, without employing any tuning.