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EMNLP
2008
13 years 9 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
EACL
2003
ACL Anthology
13 years 9 months ago
Empirical Methods for Compound Splitting
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...
Philipp Koehn, Kevin Knight
ACL
2006
13 years 9 months ago
Re-Usable Tools for Precision Machine Translation
The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...
Jan Tore Lønning, Stephan Oepen
EMNLP
2008
13 years 9 months ago
A Simple and Effective Hierarchical Phrase Reordering Model
While phrase-based statistical machine translation systems currently deliver state-of-theart performance, they remain weak on word order changes. Current phrase reordering models ...
Michel Galley, Christopher D. Manning
EMNLP
2010
13 years 5 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou