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» Discriminative n-gram language modeling
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77
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ICASSP
2008
IEEE
15 years 4 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
74
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Language recognition with discriminative keyword selection
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to deter...
Fred S. Richardson, William M. Campbell
SEMCO
2007
IEEE
15 years 3 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
80
Voted
ACL
2012
12 years 12 months ago
Large-Scale Syntactic Language Modeling with Treelets
We propose a simple generative, syntactic language model that conditions on overlapping windows of tree context (or treelets) in the same way that n-gram language models condition...
Adam Pauls, Dan Klein
87
Voted
ACL
2004
14 years 11 months ago
Discriminative Training of a Neural Network Statistical Parser
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
James Henderson