A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Constrained decoding forces a certain set words or phrases to appear in the translation results and is very useful when adapting MT to a certain domain. In recent years, the Transformer model has outperformed other neural machine translation models to become the state-of-theart paradigm. However, constrained decoding for domain adaptation remains an open problem under the Transformer model. In this paper, we first investigate how a constrained decoding method -Grid Beam Search (GBS) -performsdblp:conf/amta/XieW20 fatcat:k62dlx5uh5dzfahw2lkmhinejm