Lecture 9 : N-Gram Language Models

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[@MohitSharma-lp4cp]

This is one of the best n gram videos I've seen. Straight up no cap

[@pawanchoure1289]

N-grams are continuous sequences of words or symbols or tokens in a document. In technical terms, they can be defined as the neighboring sequences of items in a document. They come into play when we deal with text data in NLP(Natural Language Processing) tasks.

[@pawanchoure1289]

The term smoothing refers to the adjustment of the maximum likelihood estimator of a language model so that it will be more accurate. ... When estimating a language model based on a limited amount of text, such as a single document, smoothing of the maximum likelihood model is extremely important.

[@louerleseigneur4532]

Thanks a lot sir

[@vivekanand8912]

JAZZ😉👌

[@pawanchoure1289]

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