Introduction to NLP; Computational models of language; Organization of
NLP systems. Syntax; Linguistic background; Elements of simple
sentences; Parsing techniques; Features and augmented grammars;
Deterministic parsing. Semantics; Logical form; Case relations; Semantic
networks; Basic operations for semantic interpretation; Strategies and
issues. Context and world knowledge; Knowledge representation;
Reference; question; Answering systems; Natural language generation;
Typical NLP systems and their architectures; cognitive aspects of natural
languages. Indian language processing; Approach to machine translation;
Typical case studies
- Teacher: CS16D005 DEVI G
- Teacher: CS15D201 PREKSHA NEMA
- Teacher: Ananya Sai B
- Teacher: CS16S019 SUMAN BANERJEE
- Teacher: sutanuc Sutanu Chakraborti