Module 11223 (2012)
Module Description - Natural Language Processing & Applications
The Module Description is a strict subset of the Syllabus Page, which gives more information
| Module Title | Natural Language Processing & Applications | ||||||||
| School | Computer Science | ||||||||
| Module Code | 06-11223 | ||||||||
| Descriptor | COMP/06-11223/LH | ||||||||
| Member of Staff | Unassigned | ||||||||
| Level | H | ||||||||
| Credits | 10 | ||||||||
| Semester | 2 | ||||||||
| Pre-requisites | None Knowledge of a programming language is assumed. Neither 06-02495 (Natural Language Processing 1) nor 02630 are prerequisites, although there will be a small amount of common material. You will need to be willing to grapple with the complexities of natural language, including learning some basic phonetics and linguistics. A knowledge of another language can help, although it isn't essential. | ||||||||
| Co-requisites | None | ||||||||
| Restrictions | None | ||||||||
| Contact hours | |||||||||
| Delivery | 2 hrs lectures per week plus 6 labs/tutorials | ||||||||
| Description | The module will cover: levels of NLP, speech (phonetics, phonology); grammar (morphology, syntax); meaning (semantics, pragmatics); applications (text-to-speech, speech-to-text, parsing, MT, NL interfaces). The emphasis will be on the background needed to understand practical applications of speech and natural language processing. | ||||||||
| Outcomes |
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| Assessment | Sessional: 1.5 hr examination (80%), continuous assessment (20%). Supplementary (where allowed): By examination only (100%) The continuous assessment will consist of an essay or a programming project. | ||||||||
| Texts | Jurafsky, D. & Martin, J.H., Speech and Language Processing, 2000 Charniak, E., Statistical Language Learning, 1993 Manning, C. & Schütze, H., Fuondations of Statistical Natural Language Processing, 1999 |