No programming experience is assumed, computer experience
presupposed.

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 course is concerned
with concepts, models, and algorithms to interpret, generate, and
learn natural languages, as well as applications of NLP.

We will look at the different levels of linguistic analysis:
morphology, morpho-syntax, syntax, and lexical semantics.  In so
doing, we will move from simple representations of language, such as
finite-state techniques and n-gram analysis, to more advanced
representations, such as those found in context-free parsing or
anaphora resolution.  Emphasis will be placed on parsing techniques
in this course.

The required textbook is Jurafsky and Martin (2008) "Speech and
Language Processing", 2nd edition(!).