LING 5200 Computational Corpus Linguistics

Spring, 2007

This course is an introduction to the use of corpora for linguistic analysis as a consumer and the techniques in corpus creation as a producer. A major focus is the development of computational skills for corpus manipulation, preparing the student for CSCI 5832 (Natural Language Processing) or CSCI 6302 (Speech Synthesis and Recognition). Prerequisites are: graduate standing in Linguistics or permission of the instructor. Topics covered include:
• the Unix operating system and Unix-based tools such as Emacs
• basic programming skills in the Python programming language
• publically available corpora and corpus annotation
• corpus-based search tools

Instructor

• Nianwen Xue, CSLR, his.name@colorado.edu. 171G CINC
• Office Hours: Tue/Thu 1-2pm

Course Structure

• Time/PLace: Tue/Thur 9:30-10:45, ECME107
• Textbooks:
  • Required:
    (1) Deborah Ray and Eric Ray, Visual QuickStart Guide, 3rd edition.
    (2) Python: Mark Lutz and David Ascher, Learning Python, 2nd ed.O'Reilly Media, 2004.
  • Recommended:
    (3) David Mertz, Text Processing in Python
• Class Web Page: verbs.colorado.edu/~xuen/teaching/ling5200
• Grading:
  • 5200: 70% Homeworks, projects and Labs, 30% Term Project
  • 6200: 50% Homeworks and Labs, 50% Term Project