Northwestern University Information Technology
The following books provide excellent introductions to natural language processing and the technical basis of the methods implemented in MorphAdorner.
[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 sites.
[Weiss et al. 2004] Shalom Weiss, Nitin Indurkhya, Tony Zhang, and Fred Damerau. Text Mining: Predictive Methods for Analyzing Unstructured Information. 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.
Martin Mueller's Scaleable Reading blog discusses many of the topics that informed the development of MorphAdorner.
The Northwestern University Digital Humanities Laboratory is an umbrella organization for advanced research in digital humanities at Northwestern University. Among other things, the site offers a good list of links to many other sites and blogs about humanities computing.
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