(on reserve at the library)

I have listed tentative reading assignments from the Jurafsky and Martin (J&M) textbook that are associated with each section. These should be taken as a rough guide, as the schedule will almost certainly change over the term.

References:

JB, 1997 Jeff A. Bilmes. A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models.

EC, 1997 Eugene Charniak. Statistical parsing with a context-free grammar and word statistics, In

C&G, 1998 Stan Chen and Joshua Goodman. An Empirical Study of Smoothing Techniques for Language Modeling.

MC, 1997 Michael Collins. Three Generative, Lexicalised Models for Statistical Parsing. In

MC, 2002 Michael Collins. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms. In

MJ, 1998(a) Mark Johnson. Finite-state approximation of constraint-based grammars using left-corner grammar transforms. In

MJ, 1998(b) Mark Johnson. PCFG models of linguistic tree representations.

J&S, 1997 Aravind Joshi and Yves Schabes. Tree-Adjoining Grammars. In

MP&R, 2001 Mehryar Mohri, Fernando Pereira and Michael Riley. Weighted Finite-State Transducers in Speech Recognition. C

MS, 1999 Mark Steedman. Categorial Grammar. In

S&P, 2003 Fei Sha and Fernando Pereira. Shallow parsing with conditional random fields. In