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» Improving Language Models by Clustering Training Sentences
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ICASSP
2008
IEEE
14 years 2 months ago
A covariance kernel for SVM language recognition
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...
William M. Campbell
BMVC
2010
13 years 6 months ago
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
Sam Johnson, Mark Everingham
ERLANG
2003
ACM
14 years 1 months ago
Extending the VoDKA architecture to improve resource modelling
VoDKA is a Video-on-Demand server developed using Erlang/OTP. In this paper, the evolution of the core architecture of the system, designed for improving resource modelling, is de...
Juan José Sánchez Penas, Carlos Abal...
IJCNLP
2005
Springer
14 years 1 months ago
Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain
Abstract. This paper describes a method of adapting a domain-independent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the origin...
Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii
ACL
2003
13 years 9 months ago
Effective Phrase Translation Extraction from Alignment Models
Phrase level translation models are effective in improving translation quality by addressing the problem of local re-ordering across language boundaries. Methods that attempt to f...
Ashish Venugopal, Stephan Vogel, Alex Waibel