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» Intelligent Selection of Language Model Training Data
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UAI
2004
15 years 6 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
152
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ICASSP
2010
IEEE
15 years 1 months ago
Loquendo-Politecnico di Torino system for the 2009 NIST Language Recognition Evaluation
This paper describes the system submitted by Loquendo and Politecnico di Torino (LPT) for the 2009 NIST Language Recognition Evaluation. The system is a combination of classifiers...
Fabio Castaldo, Daniele Colibro, Sandro Cumani, Em...
COLING
2010
14 years 11 months ago
Machine Transliteration: Leveraging on Third Languages
This paper presents two pivot strategies for statistical machine transliteration, namely system-based pivot strategy and model-based pivot strategy. Given two independent source-p...
Min Zhang, Xiangyu Duan, Vladimir Pervouchine, Hai...
EMNETS
2007
15 years 8 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
ICMLC
2010
Springer
15 years 3 months ago
Approaches to improving corpus quality for statistical machine translation
: The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainl...
Peng Liu, Yu Zhou, Chengqing Zong