The RWTH Aachen System for NTCIR-10 PatentMT
Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney · RWTH Publications (RWTH Aachen) · 2011
This paper describes the statistical machine translation (SMT) systems developed by RWTH Aachen University for the Patent Translation task of the 9th NTCIR Workshop.Both phrase-based and hierarchical SMT systems were trained for the constrained Japanese-English and Chinese-English tasks.Experiments were conducted to compare different training data sets, training methods and optimization criteria as well as additional models for syntax and phrase reordering.Further, for the Chinese-English subtask we applied a system combination technique to create a consensus hypothesis from several different systems.