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» Triplet Lexicon Models for Statistical Machine Translation
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EMNLP
2008
13 years 11 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...
LREC
2008
159views Education» more  LREC 2008»
13 years 10 months ago
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine tr...
Marine Carpuat, Dekai Wu
EMNLP
2009
13 years 7 months ago
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
Arne Mauser, Sasa Hasan, Hermann Ney
COLING
2008
13 years 11 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...
ACL
1998
13 years 10 months ago
Machine Translation with a Stochastic Grammatical Channel
We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine transla...
Dekai Wu, Hongsing Wong