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» Improving Language Models by Clustering Training Sentences
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SAC
2004
ACM
14 years 1 months ago
Using mobile agents as roaming security guards to test and improve security of hosts and networks
1 This paper discusses the design and implementation details of MAST (Mobile Agent-based Security Tool), a new mobile agentbased network security approach. MAST has been designed t...
Marco M. Carvalho, Thomas B. Cowin, Niranjan Suri,...
EMNLP
2006
13 years 9 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
ICASSP
2011
IEEE
12 years 11 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
INTERSPEECH
2010
13 years 2 months ago
Automatic speech recognition system channel modeling
In this paper, we present a systems approach for channel modeling of an Automatic Speech Recognition (ASR) system. This can have implications in improving speech recognition compo...
Qun Feng Tan, Kartik Audhkhasi, Panayiotis G. Geor...
IJCNLP
2005
Springer
14 years 1 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou