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» Cognates Can Improve Statistical Translation Models
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ACL
2008
13 years 10 months ago
Combining Multiple Resources to Improve SMT-based Paraphrasing Model
This paper proposes a novel method that exploits multiple resources to improve statistical machine translation (SMT) based paraphrasing. In detail, a phrasal paraphrase table and ...
Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng ...
EMNLP
2008
13 years 10 months ago
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages....
Lei Shi, Ming Zhou
ACL
2010
13 years 6 months ago
Learning to Translate with Source and Target Syntax
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
David Chiang
COLING
2010
13 years 3 months ago
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
Yang Feng, Haitao Mi, Yang Liu, Qun Liu
ACL
2009
13 years 6 months ago
Toward Smaller, Faster, and Better Hierarchical Phrase-based SMT
We investigate the use of Fisher's exact significance test for pruning the translation table of a hierarchical phrase-based statistical machine translation system. In additio...
Mei Yang, Jing Zheng