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» Learning Rules to Improve a Machine Translation System
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ACL
2010
14 years 9 months ago
Better Filtration and Augmentation for Hierarchical Phrase-Based Translation Rules
This paper presents a novel filtration criteria to restrict the rule extraction for the hierarchical phrase-based translation model, where a bilingual but relaxed well-formed depe...
Zhiyang Wang, Yajuan Lv, Qun Liu, Young-Sook Hwang
ICASSP
2010
IEEE
14 years 12 months ago
Hypothesis ranking and two-pass approaches for machine translation system combination
Given a number of machine translations of a source segment, the goal of system combination is to produce a new translation that has better quality than all of them. This paper des...
Damianos Karakos, Jason Smith, Sanjeev Khudanpur
IJCNLP
2005
Springer
15 years 5 months ago
Machine Translation Based on Constraint-Based Synchronous Grammar
This paper proposes a variation of synchronous grammar based on the formalism of context-free grammar by generalizing the first component of productions that models the source text...
Fai Wong, Dong-Cheng Hu, Yu-Hang Mao, Ming-Chui Do...
ACL
1997
15 years 1 months ago
Ambiguity Resolution for Machine Translation of Telegraphic Messages
Telegraphic messages with numerous instances of omission pose a new challenge to parsing in that a sentence with omission causes a higher degree of ambi6uity than a sentence witho...
Young-Suk Lee, Clifford J. Weinstein, Stephanie Se...
EMNLP
2007
15 years 1 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...