Estimation of PHMM
	• Estimated by Baum-Welch algorithm – Using the most probable path during training • Random or uniform initialization may lead to unsatisfactory model – Extreme diversity of definition patterns and not sufficient training data – Assume path should favor match states over others • P( token | Match ) > P ( token | Insertion ) – Using smoothed ML estimates