@inproceedings{cui2010a,
author = {Cui, Lei and Zhang, Dongdong and Li, Mu and Zhou, Ming and Zhao, Tiejun},
title = {A Joint Rule Selection Model for Hierarchical Phrase-Based Translation},
booktitle = {ACL 2010},
year = {2010},
month = {July},
abstract = {In hierarchical phrase-based SMT systems,
statistical models are integrated to
guide the hierarchical rule selection for
better translation performance. Previous
work mainly focused on the selection of
either the source side of a hierarchical rule
or the target side of a hierarchical rule
rather than considering both of them simultaneously.
This paper presents a joint
model to predict the selection of hierarchical
rules. The proposed model is estimated
based on four sub-models where the
rich context knowledge from both source
and target sides is leveraged. Our method
can be easily incorporated into the practical
SMT systems with the log-linear
model framework. The experimental results
show that our method can yield significant
improvements in performance.},
publisher = {ACL - Association for Computational Linguistics},
url = {http://approjects.co.za/?big=en-us/research/publication/a-joint-rule-selection-model-for-hierarchical-phrase-based-translation/},
}