| February 15th, 2021 10:43 AM | |
| ReenaK | Sathyabama Institute of Science and Technology ME CSE SCSA7003 Natural Language Processing Syllabus 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 |
