#1
| |||
| |||
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 |
Thread Tools | Search this Thread |
|