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ICASSP
2011
IEEE
12 years 9 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
NAACL
2004
13 years 7 months ago
Minimum Bayes-Risk Decoding for Statistical Machine Translation
We present Minimum Bayes-Risk (MBR) decoding for statistical machine translation. This statistical approach aims to minimize expected loss of translation errors under loss functio...
Shankar Kumar, William J. Byrne
EMNLP
2004
13 years 7 months ago
Monolingual Machine Translation for Paraphrase Generation
We apply statistical machine translation (SMT) tools to generate novel paraphrases of input sentences in the same language. The system is trained on large volumes of sentence pair...
Chris Quirk, Chris Brockett, William B. Dolan
ACL
2006
13 years 7 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
CICLING
2010
Springer
13 years 10 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Marcin Junczys-Dowmunt