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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
MT
2006
106views more  MT 2006»
13 years 7 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
ACL
2007
13 years 9 months ago
Supertagged Phrase-Based Statistical Machine Translation
Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system performance to deteriorate. In this work we show that i...
Hany Hassan, Khalil Sima'an, Andy Way
NAACL
2007
13 years 9 months ago
Generating Case Markers in Machine Translation
We study the use of rich syntax-based statistical models for generating grammatical case for the purpose of machine translation from a language which does not indicate case explic...
Kristina Toutanova, Hisami Suzuki
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...