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» Cognates Can Improve Statistical Translation Models
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EMNLP
2010
13 years 7 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
COLING
2010
13 years 4 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu
ICASSP
2011
IEEE
13 years 1 months ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre
ACL
2006
13 years 11 months ago
Improved Discriminative Bilingual Word Alignment
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Robert C. Moore, Wen-tau Yih, Andreas Bode
JMLR
2011
187views more  JMLR 2011»
13 years 4 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...