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EACL
2009
ACL Anthology
14 years 8 months ago
N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
José A. R. Fonollosa, Maxim Khalilov
ACL
2006
13 years 9 months ago
Semi-Supervised Training for Statistical Word Alignment
We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
Alexander Fraser, Daniel Marcu
ACL
2010
13 years 5 months ago
Improving Statistical Machine Translation with Monolingual Collocation
This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monoli...
Zhan-yi Liu, Haifeng Wang, Hua Wu, Sheng Li
CICLING
2010
Springer
13 years 12 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Marcin Junczys-Dowmunt
ACL
2003
13 years 9 months ago
A Probability Model to Improve Word Alignment
Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present...
Colin Cherry, Dekang Lin