CS525PE: Natural Language Processing CSE Syllabus for B.Tech 3rd Year 1st Sem R18 Regulation JNTUH (Professional Elective-II)

Natural Language Processing detailed Syllabus for Computer Science & Engineering (CSE), R18 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.

For all the other CSE 3rd Year 1st Sem Syllabus for B.Tech R18 Regulation JNTUH, visit Computer Science & Engineering 3rd Year 1st Sem R18 Scheme.

For all the (Professional Elective-II) subjects refer to Professional Elective-II Scheme. The detail syllabus for natural language processing is as follows.

Pre-requisite:

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Course Objectives:

1. Introduce to some of the problems and solutions of NLP and their relation to linguistics and statistics.

Course Outcomes:

1. Show sensitivity to linguistic phenomena and an ability to model them with formal grammars.
2. Understand and carry out proper experimental methodology for training and evaluating empirical NLP systems
3. Able to manipulate probabilities, construct statistical models over strings and trees, and estimate parameters using supervised and unsupervised training methods.
4. Able to design, implement, and analyze NLP algorithms
5. Able to design different language modeling Techniques.

Unit I

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Unit II

Syntax Analysis: Parsing Natural Language, Treebanks: A Data-Driven Approach to Syntax, Representation of Syntactic Structure, Parsing Algorithms, Models for Ambiguity Resolution in Parsing, Multilingual Issues

Unit III

Semantic Parsing: Introduction, Semantic Interpretation, System Paradigms, Word Sense Systems, Software.

Unit IV

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Unit V

Discourse Processing: Cohension, Reference Resolution, Discourse Cohension and Structure

Language Modeling: Introduction, N-Gram Models, Language Model Evaluation, Parameter Estimation, Language Model Adaptation, Types of Language Models, Language-Specific Modeling Problems, Multilingual and Crosslingual Language Modeling

Text Books:

1. Multilingual natural Language Processing Applications: From Theory to Practice – Daniel M. Bikel and Imed Zitouni, Pearson Publication
2. Natural Language Processing and Information Retrieval: Tanvier Siddiqui, U.S. Tiwary

Reference Books:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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For detail Syllabus of all other subjects of B.Tech 3rd Year 1st Sem Computer Science & Engineering, visit CSE 3rd Year 1st Sem Syllabus Subjects.

For all B.Tech results, visit JNTUH B.Tech all years, and semester results from direct links.