CS6011 NATURAL LANGUAGE PROCESSING | Impotent Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF

CS6011 NATURAL LANGUAGE PROCESSING

CS6011 NATURAL LANGUAGE PROCESSING | Impotent  Questions | Question bank | Syllabus | Model and Previous Question papers | Download PDF Exammain.com Important Questions is available for download in this page for CS6011 NATURAL LANGUAGE PROCESSING. Students can download the Important Questions in the PDF format or in Word format. Questions Bank and Previous year question papers also be available in this page  . Important Questions provided here are the Expected questions that are possible to be appeared in the upcoming exams. you can make use of the below questions and prepare for your exams. CS6011 NATURAL LANGUAGE PROCESSING Important Questions . Download the Important Questions using the below link.

Subject Informations : 

University  :  Anna University
Department  : Computer Science And Engineering,
Semester  : 08 th Sem
Year  : 04 th year ( Final Year )
Regulation  : R2013
Subject Code  : CS6011
Subject Name  : NATURAL LANGUAGE PROCESSING

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CS6011 NATURAL LANGUAGE PROCESSING | Impotent  Questions
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CS6011 NATURAL LANGUAGE PROCESSING SYLLABUS - REGULATION - 2013 

OBJECTIVES:
-> The student should be made to:
-> Learn the techniques in natural language processing.
-> Be familiar with the natural language generation.
-> Be exposed to machine translation.
-> Understand the information retrieval techniques.

UNIT I OVERVIEW AND LANGUAGE MODELING
Overview: Origins and challenges of NLP-Language and Grammar-Processing Indian Languages - NLP Applications-Information Retrieval. Language Modeling: Various Grammar- based Language Models-Statistical Language Model.

UNIT II WORD LEVEL AND SYNTACTIC ANALYSIS
Word Level Analysis: Regular Expressions-Finite-State Automata-Morphological Parsing-Spelling Error Detection and correction-Words and Word classes-Part-of Speech Tagging. Syntactic Analysis: Context-free Grammar-Constituency- Parsing-Probabilistic Parsing.

UNIT III SEMANTIC ANALYSIS AND DISCOURSE PROCESSING
Semantic Analysis: Meaning Representation-Lexical Semantics- Ambiguity-Word Sense Disambiguation. Discourse Processing: cohesion-Reference Resolution- Discourse Coherence and Structure.

UNIT IV NATURAL LANGUAGE GENERATION AND MACHINE TRANSLATION
Natural Language Generation: Architecture of NLG Systems- Generation Tasks and Representations- Application of NLG. Machine Translation: Problems in Machine Translation- Characteristics of Indian Languages- Machine Translation Approaches-Translation involving Indian Languages.

UNIT V INFORMATION RETRIEVAL AND LEXICAL RESOURCES
Information Retrieval: Design features of Information Retrieval Systems-Classical, Non-classical, Alternative Models of Information Retrieval – valuation Lexical Resources: World Net-Frame Net- Stemmers-POS Tagger- Research Corpora.

TOTAL: 45 PERIODS

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