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Perplexity
Known as:
Perplexity consumer
, Perplexities
, PP
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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
8 relations
Brown Corpus
Entropy (information theory)
Information theory
Language model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
A Bidirectional Recurrent Neural Language Model for Machine Translation
Álvaro Peris
,
F. Casacuberta
Proces. del Leng. Natural
2015
Corpus ID: 16147595
A language model based in continuous representations of words is pre- sented, which has been applied to a statistical machine…
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2011
2011
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
Ramesh Nallapati
,
Daniel A. McFarland
,
Christopher D. Manning
International Conference on Artificial…
2011
Corpus ID: 2941998
Popular algorithms for modeling the influence of entities in networked data, such as PageRank, work by analyzing the hyperlink…
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2004
2004
Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval
M. Koskela
,
Jorma T. Laaksonen
,
E. Oja
Proceedings of the 17th International Conference…
2004
Corpus ID: 11345033
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based…
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2004
2004
Robust garden path parsing
Brian Roark
Natural Language Engineering
2004
Corpus ID: 8162587
This paper presents modifications to a standard probabilistic context-free grammar that enable a predictive parser to avoid…
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2003
2003
Class-dependent Interpolation for Estimating Language Models from Multiple Text Sources
I. Bulyko
,
Mari Ostendorf
,
A. Stolcke
2003
Corpus ID: 6481686
Sources of training data suitable for language modeling of conversational speech are limited. In this paper, we show how training…
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2000
2000
Coaxing Confidences from an Old Freind: Probabilistic Classifications from Transformation Rule Lists
Radu Florian
,
John C. Henderson
,
G. Ngai
Conference on Empirical Methods in Natural…
2000
Corpus ID: 3161327
Transformation-based learning has been successfully employed to solve many natural language processing problems. It has many…
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2000
2000
Improved ROVER using Language Model Information
Holger Schwenk
,
J. Gauvain
2000
Corpus ID: 18390942
In the standard approach to speech recognition, the goal is to find the sentence hypothesis that maximizes the posterior…
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1998
1998
Improving And Predicting Performance Of Statistical Language Models In Sparse Domains
1998
Corpus ID: 59661910
1998
1998
Automatic Acquisition of Phrase Grammars for Stochastic Language Modeling
G. Riccardi
,
S. Bangalore
VLC@COLING/ACL
1998
Corpus ID: 272757
Phrase(cid:0)based language models have been recognized to have an advantage over word(cid:0)based language models since they…
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1992
1992
Making Room for Peoples at the United Nations: Thoughts Provoked by Indigenous Claims to Self-Determination
M. Lâm
1992
Corpus ID: 150705499