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Perplexity

Known as: Perplexity consumer, Perplexities, PP 
In information theory, perplexity is a measurement of how well a probability distribution or probability model predicts a sample. It may be used to… 
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Related topics

Related topics

8 relations
Brown CorpusEntropy (information theory)Information theoryLanguage model

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Bilingual recursive neural network based data selection for statistical machine translation
2004
2004
Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based… 
2004
2004
Broadcast news LM adaptation over time
2003
2003
N-gram and N-class models for on line handwriting recognition
This paper highlights the interest of a language modelin increasing the performances of on-line handwritingrecognition systems… 
2003
2003
Word N-Grams for Cluster Keyboards
A cluster keyboard partitions the letters of the alphabet onto subset keys. On such keyboards most words are typed with no more… 
2000
2000
Coaxing Confidences from an Old Freind: Probabilistic Classifications from Transformation Rule Lists
Transformation-based learning has been successfully employed to solve many natural language processing problems. It has many… 
2000
2000
Improved ROVER using Language Model Information
In the standard approach to speech recognition, the goal is to find the sentence hypothesis that maximizes the posterior… 
1996
1996
Self-learning speaker and channel adaptation based on spectral variation source decomposition
Highly Cited
1992
Highly Cited
1992
Improved acoustic modeling for large vocabulary continuous speech recognition
1992
1992
Making Room for Peoples at the United Nations: Thoughts Provoked by Indigenous Claims to Self-Determination
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