Module 02495 (2011)

• 06-02630 - Software Workshop Prolog

2 hrs/week lectures and exercise classes.

On successful completion of this module, the student should be able to:

• describe major trends and systems in Natural Language Processing
• define: morphology; syntax; semantics; pragmatics; and give appropriate examples to illustrate their definitions
• describe several standard methods of applying morphological and syntactic knowledge in Natural Language Processing systems, for instance: finite-state methods; probabilistic methods; context-free grammars and parsers, including the Active Chart Parsers; unification grammars and parsing
• implement context-free grammars implemented by Prolog's Definite Clause Grammar
• describe simple feature-based semantic systems typically based on logic showing the difference between building semantic representations and interpreting semantic representations
• demonstrate a knowledge of two or more methods for resolving pronoun referents as an example of semantic interpretation
• show an understanding of the role of pragmatics in understanding natural language
• describe an application of natural language processing (for instance machine translation) and show the place of syntactic, semantic and pragmatic processing

• Sessional: 1.5 hr examination (50%), continuous assessment (50%).
• Supplementary: By examination only.