Language Modelling
Tags: #machine learningEquation
$$p(x)=\prod^{n}_{i=1} p(s_{n}s_{1},...,s_{n1})$$Latex Code
p(x)=\prod^{n}_{i=1} p(s_{n}s_{1},...,s_{n1})
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Introduction
Latex Code
p(x)=\prod^{n}_{i=1} p(s_{n}s_{1},...,s_{n1})
Explanation
 : Language modeling is usually framed as unsupervised distribution estimation from a set of examples of
 : Variable length sequences of symbols
 : Factorize the joint probabilities over symbols p(x) as the product of conditional probabilities
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