NATURAL LANGUAGE PROCESSING (2/1 Credits)
Learning Outcomes:
On successful completion of this course, students will be able to: Describe what is Natural Language Processing; Explain fundamental concepts of Natural Language Processing; Apply Natural Language Processing concepts in sentences; Construct Natural Language Processing application.
Topics:
- Natural Language Processing;
- Regular Expressions and Automata;
- Words and Transducers;
- N-grams;
- Part-of-Speech Tagging;
- Hidden Markov and Maximum Entropy Models;
- Syntactic Parsing;
- Statistical Parsing;
- Computational Semantics;
- Lexical Semantics;
- Computational Discourse;
- NLP Applications;
- Project Presentation.
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