The following books provide excellent introductions to natural language
processing and the technical basis of the methods implemented in
[Ananiadou and McNaught 2005]
Sophia Ananiadou and John McNaught, eds.
Text Mining for Biology and Medicine.
Boston and London: Artech House, 2005.
[Jurafsky and Martin 2000]
Daniel Jurafsky and James H. Martin.
SPEECH and LANGUAGE PROCESSING:
An Introduction to Natural Language Processing,
Computational Linguistics, and Speech Recognition.
Upper Saddle River, New Jersey: Prentice-Hall, 2000.
[Manning and Schütze 2000]
Christopher D. Manning and Hinrich Schütze.
Foundations of Statistical Natural Language Processing.
Cambridge, Massachusetts: MIT Press, 2000.
Also see the
companion web site with errata and links to related
[Weiss et al. 2004]
Shalom Weiss, Nitin Indurkhya, Tony Zhang, and Fred Damerau.
Text Mining: Predictive Methods for Analyzing
Springer Verlag, 2004.
Christopher Manning's list offers an annotated list
of resources to statistical natural language processing and
corpus-based computational linguistics.
David W. Aha's
machine learning page offers
links to bibliographies, books, software, group, tutorials,
and much more related to machine learning.