Announcements || Academic Integrity ||  Contributions || Description
Links to Resources || Requirements || Syllabus || Text

Announcements:

Description:

This course provides an introduction to the field of computational linguistics, aka natural language processing (NLP). We will learn how to create systems that can understand and produce language, for applications such as information extraction, machine translation, automatic summarization, question-answering, and interactive dialogue systems. The course will cover linguistic (knowledge-based) and statistical approaches to language processing in the three major subfields of NLP: syntax (language structures), semantics (language meaning), and pragmatics/discourse (the interpretation of language in context). Homework assignments will reflect research problems computational linguists currently work on, including analyzing and extracting information from large online corpora.

Textbook:

Speech and Language Processing by Jurafsky and Martin. It will be available from the University Bookstore, as well as from Amazon and other online providers. It should also be on reserve in the Engineering Library. Please check the online errata for the text for each chapter as you read it.  NB:  Several chapters of this text have been updated by the authors.  Links to them will appear in the syllabus below.  Chapter assignments without hyperlinks are to the hard copy textbook.

Requirements:

Four homework assignments, a midterm and a final exam. Each student in the course is allowed a total of 7 late days on homeworks with no questions asked; after that, points will be deducted for late submission, unless you have a note from your doctor.  Do not use these up early!  Save them for real emergencies.  Homeworks are due by midnight on the due date. 

All students are required to have a Computer Science Account for this class. To sign up for one, go to the CRF website and then click on "Apply for an Account".

Academic Integrity:

Copying or paraphrasing someone's work (code included), or permitting your own work to be copied or paraphrased, even if only in part, is not allowed, and will result in an automatic grade of 0 for the entire assignment or exam in which the copying or paraphrasing was done. Your grade should reflect your own work. If you believe you are going to have trouble completing an assignment, please talk to the instructor or TA in advance of the due date.

 

Syllabus:

 

Links to Resources (cf. also resources available from the text homepage):

General:

• Karen Chung Language and Linguistics links
  

Places to look up definitions and descriptions of terminology:

• Oxford Dictionary of Linguistics
• Interesting Language Factoids and Non

Chapters 1 and 2:

Try out one of the many versions of Eliza on the web.

Chapter3:

AT&T Labs - Research Finite State Machine Library

Later Chapters:

• Appelt and Israel's information extraction tutorial (IJCAI-99).
• Framenet.

Chapter 19:

• Ask Jeeves -- a search engine that answers questions in plain English.
• Answer Bus -- another Q/A system.
• Columbia's NewsBlaster summarizer
• IBM summarizer demo (canned)
• Systran machine translation (also in use at Babelfish)
• AT&T Labs - Research Finite State Machine Library
• Michael Collins' Parser
• On-line dictionaries in many languages.
• WordNet
• Framenet
• CoBuildDirect Corpus
• AT&T's SCANMail voicemail browsing/search system
• DiaLeague 2001 -- includes a link to an online dialogue system demo.
• James Allen's Dialogue Modeling for Spoken Language Systems ACL 1997 Tutorial
• Festival speech synthesizer demo and links to other TTS systems
• Julia Hirschberg's Intonational Variation in Spoken Dialogue Systems tutorial

Announcements || Academic Integrity || Contributions || Description
 Links to Resources|| Requirements || Syllabus || Text