1053 search results - page 26 / 211 » Learning Rules to Improve a Machine Translation System |
EMNLP
2006
13 years 8 months ago
2006
Reordering is currently one of the most important problems in statistical machine translation systems. This paper presents a novel strategy for dealing with it: statistical machin...
EACL
2003
ACL Anthology
13 years 8 months ago
2003
ACL Anthology
Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We eva...
NAACL
2010
13 years 5 months ago
2010
Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
ACL
2010
13 years 5 months ago
2010
In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT)...
EMNLP
2007
13 years 8 months ago
2007
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...