Improving fluency by reordering target constituents using MST parser in English-to-Japanese phrase-based SMT
Hwidong Na, Jin‐Ji Li, Jun-Gi Kim, Jong-Hyeok Lee · 2009
We propose a reordering method to improve the fluency of the output of the phrase-based SMT (PBSMT) system. We parse the transla-tion results that follow the source language or-der into non-projective dependency trees, then reorder dependency trees to obtain fluent tar-get sentences. Our method ensures that the translation results are grammatically correct and achieves major improvements over PB-SMT using dependency-based metrics. 1