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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.
Highly Cited
2017
Highly Cited
2017
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models
Building a persona-based conversation agent is challenging owing to the lack of large amounts of speaker-specific conversation… 
Highly Cited
2016
Highly Cited
2016
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Neural encoder-decoder models of machine translation have achieved impressive results, rivalling traditional translation models… 
Highly Cited
2012
Highly Cited
2012
Deep Neural Network Language Models
In recent years, neural network language models (NNLMs) have shown success in both peplexity and word error rate (WER) compared… 
Highly Cited
2011
Highly Cited
2011
Translation research terms - a tentative glossary for moments of perplexity and dispute
The following is a list of terms with recommendations for their use in research on translation and interpreting. The list has… 
Highly Cited
2008
Highly Cited
2008
On the very idea of cosmopolitan justice: Constructivism and international agency
Highly Cited
2002
Highly Cited
2002
Modelling out-of-vocabulary words for robust speech recognition
This thesis concerns the problem of unknown or out-of-vocabulary (OOV) words in continuous speech recognition. We propose a… 
Highly Cited
1997
Highly Cited
1997
A Model of Lexical Attraction and Repulsion
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech… 
Highly Cited
1996
Highly Cited
1996
LEXICAL ENTRAINMENT IN SPONTANEOUS DIALOG
It is often desirable to predict or constrain the lexical choices people make with spoken language systems. I discuss lexical… 
Highly Cited
1993
Highly Cited
1993
High performance speaker-independent phone recognition using CDHMM
In this paper we report high phone accuracies on three corpora: WSJ0, BREF and TIMIT. The main characteristics of the phone… 
Highly Cited
1990
Highly Cited
1990
Acoustic modeling for large vocabulary speech recognition
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