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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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Recent advances in modern Natural Language Processing (NLP) research have been dominated by the combination of Transfer Learning… Expand
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Review
2019
Review
2019
We present FLAIR, an NLP framework designed to facilitate training and distribution of state-of-the-art sequence labeling, text… Expand
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Highly Cited
2019
Highly Cited
2019
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are… Expand
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Highly Cited
2011
Highly Cited
2011
We present KenLM, a library that implements two data structures for efficient language model queries, reducing both time and… Expand
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Highly Cited
2011
Highly Cited
2011
We present several modifications of the original recurrent neural network language model (RNN LM).While this model has been shown… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is… Expand
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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… Expand
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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… Expand
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