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ICASSP
2010
IEEE
13 years 10 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
FLAIRS
2006
13 years 11 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
LREC
2008
77views Education» more  LREC 2008»
13 years 11 months ago
Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics
Morphologically rich languages pose a challenge to the annotators of treebanks with respect to the status of orthographic (spacedelimited) words in the syntactic parse trees. In s...
Reut Tsarfaty, Yoav Goldberg
UM
2010
Springer
13 years 7 months ago
Inducing Effective Pedagogical Strategies Using Learning Context Features
Effective pedagogical strategies are important for e-learning environments. While it is assumed that an effective learning environment should craft and adapt its actions to the use...
Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. ...
ACL
1992
13 years 11 months ago
Recognition of Linear Context-Free Rewriting Systems
The class of linear context-free rewriting systems has been introduced as a generalization of a class of grammar formalisms known as mildly context-sensitive. The recognition prob...
Giorgio Satta