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L26. APPLIED IR & NLP [1](11/30)
Tue, 07/14/2009 - 10:16 — admin
30 November 2009
After three months of lectures packed with new concepts and theory it is helpful to finish the semester with lots of examples and applications that show that this course matters "in the real world." In particular, we'll discuss several applications of "natural language processing" or NLP. This is a broad field, and involves computer science, linguistics, cognitive psychology, and statistics in addition to everything we've talked about this semester. NLP illustrates many IR techniques and in some cases illustrates the tradeoffs between IO and IR.
Download recorded lecture from http://courses.ischool.berkeley.edu/i202/f09/files/202-20091130.mp3
Readings for This Lecture
- L26R1. Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze, Introduction to Information Retrieval, Chapter 13, through Section 13.1
- L26R2. Adam Kilgarriff and Gregory Grefenstette, "Introduction to the Special Issue on the Web as Corpus," Computational Linguistics 29(3) (2003)
- L26R3. Daniel Cohen, "From Babel to Knowledge Data Mining Large Digital Collections", -Lib Magazine (March 2006)
- L26R4. Gary Stix, "The Elusive Goal of Machine Translation," Scientific American (March 2006)