| 23rd October 2020 08:53 PM | |
| Arvind Kumar | Sathyabama Institute of Science and Technology BE CSE SITA3010 Natural Language Processing Syllabus Sathyabama Institute of Science and Technology BE CSE SITA3010 Natural Language Processing Syllabus SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF COMPUTING SITA3010 NATURAL LANGUAGE PROCESSING L T P Credits Total Marks 3 0 0 3 100 UNIT 1 INTRODUCTION 9 Hrs. Introduction and challenges of natural language processing, Phases in natural language processing, An outline of English syntax - Grammars and parsing - Features and Augmented Grammar. UNIT 2 SYNTACTIC PROCESSING 9 Hrs. Grammar for natural language - Toward efficient parsing - Ambiguity resolution - Statistical Methods, Feature Structure UNIT 3 SEMANTIC INTERPRETATION 9 Hrs. Semantic and logical form - Linking syntax and semantics - Ambiguity resolution - Other strategies for semantic interpretation - Scoping for interpretation of noun phrases, Semantic attachments-Word senses, Relations between the senses. UNIT 4 CONTEXT AND WORLD KNOWLEDGE 9 Hrs. Knowledge representation and reasoning - Using World Knowledge, Discourse Structure, Local discourse context and reference. UNIT 5 WORLD KNOWLEDGE AND SPOKEN LANGUAGE 9 Hrs. Using world knowledge - Discourse structure - Defining conversational agent - An introduction to logic model - Theoretic semantics - Symbolic computation - Speech recognition and spoken Language, Applications: Machine Translation, Information Retrieval. Max. 45 Hrs. COURSE OUTCOMES On completion of the course, student will be able to CO1 - Understand NLP problems and survey the literature about that problem. CO2 - Understand language modelling. CO3 - Describe automated natural language generation and machine translation. CO4 - Learn the natural language generation. CO5 - Analyze and compare the use of different statistical approaches for different types of NLP applications. TEXT / REFERENCE BOOKS 1. Richard M Reese, ―Natural Language Processing with Java, OReilly Media, 2015. 2. Nitin Indurkhya and Fred J. Damerau, ―Handbook of Natural Language Processing, 2nd Edition, Chapman and Hall/CRC Press, 2010. 3. Daniel Jurafsky, James H. Martin―Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech, Pearson Publication, 2014. END SEMESTER EXAMINATION QUESTION PAPER PATTERN Max. Marks : 100 Exam Duration : 3 Hrs. PART A : 10 Questions of 2 marks each-No choice 20 Marks PART B : 2 Questions from each unit with internal choice, each carrying 16 marks 80 Marks |
