This course examines a range of issues concerning computer systems that can process
human languages. Among the issues to be discussed are morphological and syntactic
processing, semantic interpretation, discourse processing and knowledge representation.
Components of a natural languages processing system, Natural language models:
Mathematical, psychological, Lexical, syntactic, and semantic analysis, Phrasestructured
grammars, Transformational grammars, Transition networks, Semantic
networks, Conceptual parsing, Conceptual dependency, Systemic and case grammars,
Scripts, plans and goals, Knowledge representation, Sentence generation. Course
projects give the students knowledge in how to use recent trends in Natural Language
Processing.​