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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
2011
2011
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Popular algorithms for modeling the influence of entities in networked data, such as PageRank, work by analyzing the hyperlink… 
2004
2004
Broadcast news LM adaptation over time
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… 
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… 
2001
2001
Automatic n-gram language model creation from web resources
EUROSPEECH2001: the 7th European Conference on Speech Communication and Technology, September 3-7, 2001, Aalborg, Denmark. 
2000
2000
Class-based language model adaptation using mixtures of word-class weights
This paper describes the use of a weighted mixture of class-based n-gram language models to perform topic adaptation. By using a… 
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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