Language model

Known as: Language models, Language modelling, LM 
A statistical language model is a probability distribution over sequences of words. Given such a sequence, say of length m, it assigns a probability… (More)
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Papers overview

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Highly Cited
2016
Highly Cited
2016
We describe a simple neural language model that relies only on character-level inputs. Predictions are still made at the word… (More)
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… (More)
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Highly Cited
2008
Highly Cited
2008
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used… (More)
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Highly Cited
2007
Highly Cited
2007
This paper describes the use of a neural network language model for large vocabulary continuous speech recognition. The… (More)
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Highly Cited
2005
Highly Cited
2005
In recent years, variants of a neural network architecture for statistical language modeling have been proposed and successfully… (More)
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Highly Cited
2002
Highly Cited
2002
SRILM is a collection of C++ libraries, executable programs, and helper scripts designed to allow both production of and… (More)
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Highly Cited
2001
Highly Cited
2001
We explore the relation between classical probabilistic models of information retrieval and the emerging language modeling… (More)
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Highly Cited
2000
Highly Cited
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is… (More)
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Highly Cited
1999
Highly Cited
1999
Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing… (More)
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Highly Cited
1998
Highly Cited
1998
Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models… (More)
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