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JMLR
2011
187views more  JMLR 2011»
9 years 9 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
EMNLP
2007
10 years 4 months ago
What Can Syntax-Based MT Learn from Phrase-Based MT?
We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly descr...
Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel...
CICLING
2009
Springer
11 years 3 months ago
Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
We use existing tools to automatically build two parallel treebanks from existing parallel corpora. We then show that combining the data extracted from both the treebanks and the ...
John Tinsley, Mary Hearne, Andy Way
COLING
2010
9 years 9 months ago
Constituent Reordering and Syntax Models for English-to-Japanese Statistical Machine Translation
We present a constituent parsing-based reordering technique that improves the performance of the state-of-the-art English-to-Japanese phrase translation system that includes disto...
Young-Suk Lee, Bing Zhao, Xiaoqian Luo
NAACL
2010
10 years 22 days ago
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Niyu Ge
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