Module 02648 (2005)

Syllabus page 2005/2006

06-02648
Natural Language Processing 2

Level 3/H

Mark Lee:8
10 credits in Semester 2

Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus


The Module Description is a strict subset of this Syllabus Page. (The University module description has not yet been checked against the School's.)

Relevant Links


Outline

Topics covered provide an overview of current research in language processing.


Aims

The aims of this module are to:

  • provide a detailed overview of current research in Natural Language Processing (NLP)
  • install an appreciation of the complexity of Language Processing both by humans and computers
  • expose the students to current research issues and questions

Learning Outcomes

On successful completion of this module, the student should be able to: Assessed by:
1understand issues and techniques of the state of the art in NLP. Examination, essay
2critique current and future research in this field Examination, essay
3have the ability to apply NLP techniques to practical problems Examination, essay

Restrictions, Prerequisites and Corequisites

Restrictions:

None

Prerequisites:

None
There are no specific prerequisites for this module. However, the material covered complements material in 06-02495 (Natural Language Processing 1) and 06-11223 (Natural Language Processing & Applications).

Co-requisites:

None


Teaching

Teaching Methods:

2 hrs of lectures per week plus additional tutorials

Contact Hours:

24+


Assessment

  • Supplementary (where allowed): As the sessional assessment
  • The continuous assessment consists of one essay.

Recommended Books

TitleAuthor(s)Publisher, Date
Computers and Human Language George W. Smith Oxford Press , 1991
Natural Language UnderstandingJames AllenBenjamin/Cummings Publishing Company, Inc., 1995
Foundations of Statistical Language ProcessingChristopher D. Manning and Hinrich SchutzeMIT Press, 1999
Readings in Natural Language ProcessingBarbara Grosz, Karen Sparck-Jones, and Bonnie Webber. Morgan Kaufman Publishers, 1986

Detailed Syllabus

  1. Techniques of automatic speech processing & representation
    • Cognitive models of spoken word recognition
    • Phonology
  2. Corpus techniques
    • Language and the Corpus
    • Statistical Techniques in NLP
  3. Meaning
    • Word and sentence meaning
    • Electronic Dictionaries and Lexicography
  4. Pragmatics and Discourse Processing
    • Context & Meaning
    • Metaphor & Metonymy

Last updated: 13 May 2005

Source file: /internal/modules/COMSCI/2005/xml/02648.xml

Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus