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ACL
2008
13 years 8 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp
SIGIR
1999
ACM
13 years 11 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty
IALP
2010
13 years 2 months ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way
SIGIR
2010
ACM
13 years 11 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
NAACL
2007
13 years 8 months ago
Detection of Non-Native Sentences Using Machine-Translated Training Data
Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
John Lee, Ming Zhou, Xiaohua Liu