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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… 
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Papers overview

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Highly Cited
2020
Highly Cited
2020
Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text… 
Highly Cited
2019
Highly Cited
2019
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are… 
Highly Cited
2019
Highly Cited
2019
Recent studies have demonstrated the efficiency of generative pretraining for English natural language understanding. In this… 
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… 
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… 
Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… 
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… 
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… 
Highly Cited
2001
Highly Cited
2001
We explore the relation between classical probabilistic models of information retrieval and the emerging language modeling… 
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…