L545 is a graduate course in natural language processing and
computational linguistics.  The course is concerned with concepts,
models and algorithms to interpret, generate, and learn natural
languages, as well as applications of NLP.  The goal of the course
is for the students to be familiar with basic concepts in NLP,
understand the algorithms and methods for NLP, and acquire the
skills for developing NLP tools.  We will look at the different
levels of linguistic analysis, morphology, morpho-syntax, syntax,
and lexical semantics.  Additionally, we will cover machine
translation.

No prior programming experience is assumed, computer experience
presupposed.

The required textbook is Dan Jurafsky's and James Martin's (2000)
book "Speech and Language Processing".