Combining Domain Adaptation Approaches for Medical Text Translation
Longyue Wang, Yi Lü, Derek F. Wong, Lidia Sam Chao, Yiming Wang, Francisco Carlos Mattos Brito Oliveira · 2014
This paper explores a number of simple and effective techniques to adapt statisti-cal machine translation (SMT) systems in the medical domain. Comparative exper-iments are conducted on large corpora for six language pairs. We not only compare each adapted system with the baseline, but also combine them to further improve the domain-specific systems. Finally, we attend the WMT2014 medical summary sentence translation constrained task and our systems achieve the best BLEU scores for Czech-English, English-German, French-English language pairs and the second best BLEU scores for re-minding pairs. 1.