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» Cognates Can Improve Statistical Translation Models
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EMNLP
2004
13 years 10 months ago
Efficient Decoding for Statistical Machine Translation with a Fully Expanded WFST Model
This paper proposes a novel method to compile statistical models for machine translation to achieve efficient decoding. In our method, each statistical submodel is represented by ...
Hajime Tsukada, Masaaki Nagata
IJCNLP
2005
Springer
14 years 2 months ago
Phrase-Based Statistical Machine Translation: A Level of Detail Approach
The merit of phrase-based statistical machine translation is often reduced by the complexity to construct it. In this paper, we address some issues in phrase-based statistical mach...
Hendra Setiawan, Haizhou Li, Min Zhang, Beng Chin ...
ACL
2011
13 years 3 days ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li
EMNLP
2008
13 years 10 months ago
Triplet Lexicon Models for Statistical Machine Translation
This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be...
Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jes&ua...
COLING
2002
13 years 8 months ago
Can Subcategorization Help a Statistical Dependency Parser?
Today there is a relatively large body of work on automatic acquisition of lexicosyntactical preferences (subcategorization) from corpora. Various techniques have been developed t...
Daniel Zeman