Language Modelling Equation Formula Latex Code and Summary

Language Modelling

Tags: #machine learning

$$p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})$$

                                 p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})

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            p(x)=\prod^{n}_{i=1} p(s_{n}|s_{1},...,s_{n-1})

$(x_{1}, x_{2}, ..., x_{n})$ : Language modeling is usually framed as unsupervised distribution estimation from a set of examples of $(x_{1}, ..., x_{n})$
$(s_{1}, s_{2}, ..., s_{n})$ : Variable length sequences of symbols
$p(x)$ : Factorize the joint probabilities over symbols p(x) as the product of conditional probabilities $p(s_{n}|s_{1},...,s_{n-1})$

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