Rule-Based Augmentation of Training Data in Breton-French Statistical Machine Translation
Francis Morton Tyers · 2009
This article describes an initial statistical machine translation system between Bre-ton, a Celtic language spoken in France, and French. It also describes a method for leveraging existing resources from an incomplete rule-based machine translation system to improve the coverage and trans-lation quality of the statistical system by generating expanded bilingual vocabulary lists. Results are presented which show that the use of this method improves the re-sults of the system with respect to both the baseline, and the baseline with a lemma-to-lemma bilingual lexicon. 1