The System Combination RWTH Aachen - SYSTRAN for the NTCIR-10 PatentMT Evaluation
Minwei Feng, Markus Freitag, Hermann Ney, Bianka Buschbeck, Jean Sénellart, Jin Yang · RWTH Publications (RWTH Aachen) · 2013
This paper describes the joint submission by RWTH Aachen University and SYSTRAN in the Chinese-English Patent Machine Translation Task at the 10th NTCIR Workshop.We specify the statistical systems developed by RWTH Aachen University and the hybrid machine translation systems developed by SYSTRAN.We apply RWTH Aachen's combination techniques to create consensus hypotheses from very different systems: phrase-based and hierarchical SMT, rule-based MT (RBMT) and MT with statistical post-editing (SPE).The system combination was ranked second in BLEU and second in the human adequacy evaluation in this competition.