CSC 9010: Natural Language Processing
Spring, 2005, Thurs, 6:15-9:00
Mendel G92/156

• Course Information
• Requirements and Grading
• Academic Integrity
• Student Questionnaire
• Student Presentations

This schedule will be updated throughout the semester.   Later topics and most dates  are tentative.
 

Date	Topic	Readings	Assignments and Labs
Jan 20	Introduction to Natural Language Processing Introduction to Python	Chapter 1	Python exercise - Homework 1
Jan 27	Regex, Finite State Automata	Chapter 2	Lab: Regular expressions in Python - Homework 2
Feb 3	Morphology, Finite State Transducers.	Chapter 3	Introduction to NLTK Homework 3
Feb 10	POS tagging	Chapter 8 (download update)	Lab: POS tagging with NLTK Homework 4
Feb 17	N-grams	Chapter 6	Words Lab Homework 5
Feb 24	*** CLASS CANCELED ***		Project description ** is STILL DUE TODAY **
Mar 3	Context-Free Grammars	Chapter 9	Homework 6
Mar 10	Spring Break
Mar 17	Parsing	Chapter 10	Homework 7
Mar 24	Easter Break
Mar 31	Semantics &  Semantic analysis	Chapters 14 & 15
Apr 7	Information Retrieval Exam	Chapter 17	Lab
Apr 14	Guest Speakers Dr. Cynthia A. McLemore English Intonation In this talk I'll explain problems in and approaches to the perception, representation and analysis of intonation in the speech stream, and discuss the problem of function, or meaning, by taking a more indepth look at the phenomenon of rising intonation ("uptalk" in the media) and patterns of intonational use in a particular speech community, a University of Texas sorority. Dr. Deborah Dahl This talk discusses current commercial natural language technology applications as part of spoken dialog systems. Form-filling dialogs, especially telephone-based systems, are becoming more and more common. We'll discuss the components of these systems, how they work and we'll see some live demos of form-filling dialogs in action. A radically different approach to natural language analysis, statistical classification systems, has recently started to be used in spoken dialog systems to interpret and route free-form user inputs. Finally, the talk will discuss some of the standards that support these applications. ppt slides
Apr 21	Student Projects David Cassel: Discourse Natalie McConnell: Tactical Language Learing System Cal Watson: Semantic tagging Bogdan Gapinski: Adaptive categorical grammars David Snyder: Interactive Fiction
Apr 28	Student Projects Vijetha Periyavaram: Spoken digit recognition Paul Gallagher: Natural Language generation Eric Clark: Natural Language generation Drew Jacobs: Natural Language generation -- handout Chitra Kalluri: Emotional machines
May 5	Student Projects Tim White: Machine translation Ducson Nguyen: Machine translation Rasagna Pulapaka: NLP in robotics and embedded systems Kesava Rao Gadicherla (Keshu): Text to speech synthesis
May 12	Final Exam date (Reserve for makeup)