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Helpful references


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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