Lecture 16: Hidden Markov Models for POS Tagging 

Thank you, very well explained !! Best explanation i found !!

Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process - call it - with unobservable ("hidden") states. As part of the definition, HMM requires that there be an observable process whose outcomes are "influenced" by the outcomes of in a known way.

In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts.

Sir what is wrong with the video..... Just one picture stays for the whole lecture.... Pls do something if you can 🙏