Context Navigation

LanguageModelling

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7	7	== State of the Art =
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9		The goal of language model is to a) predict a following word or phrase based on a given text history and b) assign a probability (=score) to any possible input sentence. This was done mainly by n-gram models known ~~from WWII. But recently, buzzword deep learning penetrated also into language modelling and it turned out neural networks beat classic n-gram models substantially~~.
	9	The goal of language model is to a) predict a following word or phrase based on a given text history and b) assign a probability (=score) to any possible input sentence. This was done mainly by n-gram models known since WWII. But recently, the buzzword deep learning penetrated also into language modelling and it turned out neural networks beat classic n-gram models.
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11	11	=== References ===