Table of Contents
Hidden Markov Models
Basics
Applications in MT
Recent Advances
Tutorials and Introductions
Related Pages
Hidden Markov Models
Basics
HMMs vs CRFs: See
Liang & Jordan 2008 - An Asymptotic Analysis of Generative, Discriminative, and Pseudolikelihood Estimators
especially table 2, and summary
slide 44 here
Applications in MT
Vogel et al 1996 - HMM-Based Word Alignment in Statistical Translation
Wang et al 2018 - Neural Hidden Markov Model for Machine Translation
Recent Advances
Chiu & Rush 2020 - Scaling Hidden Markov Language Models
Scaling the number of hidden states to 2^15 states, with exact inference.
This paper shows that HMMs can be viewed as a special case of RNNs:
Buys et al 2018 - Bridging HMMs and RNNs through Architectural Transformations
Tutorials and Introductions
Smith 2004 - Hidden Markov Models: All the Glorious Gory Details
Related Pages
Conditional Random Field
Graphical Models