Lecture 7: Hidden Markov Models (HMMs)
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Machine Learning for Language Technology Lecture 7: Hidden Markov Models (HMMs) Marina Santini Department of Linguistics and Philology Uppsala University, Uppsala, Sweden Autumn 2014 Acknowledgement: Thanks to Prof. Joakim Nivre for course design and materials
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Outline: Hidden Markov Models (HMMs), Markov Assumptions, Problems for HMMs, Algorithms for HMMs, POS Tagging with HMMs, Smoothing for POS Tagging
Transcript of Lecture 7: Hidden Markov Models (HMMs)
Machine Learning for Language Technology Lecture 7: Hidden Markov Models (HMMs)
Marina SantiniDepartment of Linguistics and Philology
Uppsala University, Uppsala, Sweden
Autumn 2014
Acknowledgement: Thanks to Prof. Joakim Nivre for course design and materials
Hidden Markov Models (1)
Hidden Markov Models (2)
A Simple HMM
Markov Assumptions
Observation Sequences
Problems for HMMs (1)
Problems for HMMs (2)
Viterbi
Forward Algo & Backward Algo
Forward-Backward Algo
Part-Of-Speech Tagging
Modeling (1)
Modeling (2)
Learning
Smoothing
Inference
HMM Applications
The end