CP5004 LANGUAGE TECHNOLOGIES SYLLABUS
REGULATION 2017
ME CSE - SEMESTER 3
OBJECTIVES:
- To learn the fundamentals of natural language processing
- To appreciate the use of CFG and PCFG in NLP
- To understand the role of semantics and pragmatics
UNIT I INTRODUCTION
Words - Regular Expressions and Automata - Words and Transducers - N-grams - Part-of- Speech – Tagging - Hidden Markov and Maximum Entropy Models.
UNIT II SPEECH
Speech – Phonetics - Speech Synthesis - Automatic Speech Recognition - Speech Recognition: - Advanced Topics - Computational Phonology.
UNIT III SYNTAX
Formal Grammars of English - Syntactic Parsing - Statistical Parsing - Features and Unification - Language and Complexity.
UNIT IV SEMANTICS AND PRAGMATICS
The Representation of Meaning - Computational Semantics - Lexical Semantics - Computational Lexical Semantics - Computational Discourse.
UNIT V APPLICATIONS
Information Extraction - Question Answering and Summarization - Dialogue and Conversational Agents - Machine Translation.
TOTAL :45 PERIODS
OUTCOMES:
Upon completion of this course, the students should be able to:
- To tag a given text with basic Language features
- To design an innovative application using NLP components
- To implement a rule based system to tackle morphology/syntax of a language
- To design a tag set to be used for statistical processing for real-time applications
- To compare and contrast use of different statistical approaches for different types of NLP applications.
REFERENCES:
- Breck Baldwin, "Language Processing with Java and LingPipe Cookbook", Atlantic Publisher, 2015.
- Daniel Jurafsky, "Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech", Pearson Publication, 2014.
- Nitin Indurkhya and Fred J. Damerau, "Handbook of Natural Language Processing", Second Edition, Chapman and Hall/CRC Press, 2010.
- Richard M Reese, "Natural Language Processing with Java", O ̳Reilly Media, 2015.
- Steven Bird, Ewan Klein and Edward Loper, -"Natural Language Processing with Python", First Edition, O ̳Reilly Media, 2009.
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