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» Improving Language Models by Clustering Training Sentences
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INTERSPEECH
2010
14 years 7 months ago
Improved language recognition using mixture components statistics
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
Abualsoud Hanani, Michael J. Carey 0002, Martin J....
CLUSTER
2002
IEEE
15 years 7 days ago
CEJVM: "Cluster Enabled Java Virtual Machine"
CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java`s multithreading mechani...
Muhammad Umar Janjua, Mehboob Yasin, Ch. Falak She...
158
Voted
ICDAR
2009
IEEE
14 years 10 months ago
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
Yongqiang Wang, Qiang Huo
92
Voted
COLING
2010
14 years 7 months ago
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Joohyun Kim, Raymond J. Mooney
101
Voted
EACL
2006
ACL Anthology
15 years 1 months ago
CDER: Efficient MT Evaluation Using Block Movements
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
Gregor Leusch, Nicola Ueffing, Hermann Ney