Natural Language Processing
Expected Questions
® Survey of English Morphology
® Inflectional morphology & Derivational morphology
® Stemming Algorithms Examples
® Finite-State Transducers
® Morphological Parsing with Finite-State Transducers
® Orthographic Rules and Finite-State Transducers
® Porter Stemmer
® Language model
® N-gram language model
® N-gram for spelling correction
Expected Questions:
Syntax Analysis
® Tag set for English
® Penn Treebank
® Rule-Based Part-of-Speech Tagging
® Properties of Rule-Based POS Tagging
® Stochastic Part of Speech Taggers
® Transformation-Based Tagging
® Multiple tags and multiple words
® Unknown words
® Parsing With Context-free Grammar
® Hidden Markov Model (HMM)
® HMM for POS tagging
® Maximum Entropy
® Conditional Random Field (CRF)
Expected Questions
® Compositional semantics
® What is language understanding
® Semantic analysis vs. other areas of natural language processing
® Approaches to semantic analysis
® Applications of semantic analysis
® Why is semantic analysis difficult?
® Why is semantic analysis important?
® Phrase level Constructions
Expected Questions
Five aspects of pragmatics
® Deixis:
® Implicature
® Presupposition
® Speech Acts
® Conversational Structure
Application that demands pragmatic understanding
® Reference Resolution
Coreference
Coreference distinctions
Coreference resolution
Approach to coreference resolution
Why Coreference Resolution is Hard
Coreference vs. Anaphora
Application of Coreference Resolution
Expected Questions
® Machine Translation System Approaches
® Rule Based Machine Translation System
® Sentiment Classification Techniques
® Text Classification Techniques
Expected Questions
Experiment No 1:
® Morphology is of two types:
® Morphological Features:
Experiment No 2:
Experiment No 3:
Experiment No 4:
Experiment No 5
Experiment No 6
Experiment No 7
Experiment No 8
Dr. Sharvari Govilkar is a Professor and Head of Computer Engineering Department at Pillai College of Engineering, Navi Mumbai, Maharashtra, India. She has more than 22 years of experience of teaching in the field of Computer Engineering and Information technology. More than 35 students have completed their Post Graduation under her valuable guidance and presently 5 Ph.D. research scholars are pursuing their Ph.D. at Pillai college of Engineering , research center of the University of Mumbai .Being a member of Board Of Studies Information technology of the University of Mumbai , She is actively contributing to academics at various levels of University .She has published about 75 research papers in various national and international conferences and journals of repute . Her areas of expertise are Data analytics, Natural Language Processing, Information Retrieval and Social media analytics.
Sagar Kulkarni is an Assistant Professor in Computer Engineering Department at Pillai College of Engineering, Navi Mumbai, Maharashtra, India. He has more than 10 years of teaching experience .He has guided more than 20 projects at undergraduate level in the field of Natural Language Processing and Information Retrieval. He has published about 15 research papers in various national and international conferences and journals . Currently he is pursuing Ph.D in Computer Engineering from the University of Mumbai. His areas of expertise are Natural Language Processing, Information Retrieval, Digital Forensics and Cyber Security.
Dhiraj Amin is an Assistant professor in Information Technology department at Pillai College of Engineering, Navi Mumbai, Maharashtra, India. He has more than 6 years of experience in teaching and industry. Currently , he is pursuing his Ph.D. in Computer Engineering from the University of Mumbai His area of expertise are Natural Language Processing, Information Retrieval, Data analytics.