Abstract
Domain adaptation has recently gained interest in statistical machine
translation. One of the adaptation techniques is based in the selection data. Data
selection aims to select the best subset of the bilingual sentences from an available
pool of sentences, with which to train a SMT system. In this paper, we study how
aect the bilingual corpora used for the data selection methods in the translation
quality.
