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TASLP
2010
97views more  TASLP 2010»
13 years 2 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
ICANN
2007
Springer
14 years 1 months ago
Towards Understanding of Natural Language: Neurocognitive Inspirations
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
ICTAI
2006
IEEE
14 years 1 months ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
ACL
2003
13 years 9 months ago
Generalized Algorithms for Constructing Statistical Language Models
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
Cyril Allauzen, Mehryar Mohri, Brian Roark
MLCW
2005
Springer
14 years 1 months ago
An Inference Model for Semantic Entailment in Natural Language
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...
Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyaka...