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Sathyabama Institute of Science and Technology ME CSE SCSA7003 Natural Language Processing Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF COMPUTING

SCSA7003 NATURAL LANGUAGE PROCESSING
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 LINGUISTIC BACKGROUND 9 Hrs.
An outline of English Syntax – Grammars and Parsing Features and Augmented Grammars.

UNIT 2 SYNTACTIC PROCESSING 9 Hrs.
Grammars for Natural Language – Toward Efficient Parsing - Bottom-Up Parsing - Top-Down Parsing – Transition Network
Grammars.

UNIT 3 FEATURES AND AUGMENTED GRAMMARS 9 Hrs.
Feature Systems and Augmented Grammars – Some Basic Feature Systems for English – Morphological Analysis and the
Lexicon – Grammar using Features – Parsing with Features – Augmented Transition Networks – Generalized Feature
Systems and Unification grammars.

UNIT 4 GRAMMARS FOR NATURAL LANGUAGE 9 Hrs.
Auxiliary Verbs and Verb Phrases – Movement Phenomena in Language – Handling questions in Context – Free Grammars
– Relative Clauses – Hold Mechanism in ATN’s.

UNIT 5 TOWARD EFFICIENT PARSING 9 Hrs.
Human Preferences - Parsing Semantic Interpretation – Semantics and Logical Form Word Senses and Ambiguity – The
Basic Logical Form Language – Encoding Ambiguity – Verbs and States in Logical Form – Semantic Interpretation and
Compositionality – A Simple Grammar and Lexicon with Semantic Interpretation Prepositional Phrases and Noun Phrases.
Max. 45 Hrs.

TEXT / REFERENCE BOOK
1. James. Allan,” Natural Language understanding”, Benjamin/Gumming Publishing Company Inc, 5th edition, 2015.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks: 100 Exam Duration: 3 Hrs.
PART A: 5 Questions of 6 Marks each – No choice 30 Marks
PART B: 2 Questions from each unit of internal choice, each carrying 14 Marks 70 Marks