UPPALA VIJAY KUMAR (Phd)

Natural Language Processing Course Syllabus

Unit	Topics	Reading Materials	Assignments/ Assessment Deadline
Unit 1	Introduction & applications NLP Phases Difficulty of NLP including ambiguity spelling error noisy channel Model concepts of parts-of-speech and formal grammar of English MCQs	Unit-1	Assignment 1: Due Date:
Unit 2	Language Modelling: N-gram and Neural Language Models Language Modelling with Ngram, Simple N-gram models, Smoothing (basic techniques),Evaluating language models; Neural Network basics, Training; Neural Language Model, Case study: application of neural language model in NLP system development.	Unit-2	MID 1: Due Date:
Unit 3	Parts-of-speech Tagging Parts-of-speech Tagging: basic concepts; Tagset; Early approaches: Rule based and TBL; POS tagging using HMM, Introduction to POS Tagging using Neural Model.	Unit-3	Topic Assignment 2: Due Date:
Unit 4	Parsing Basic concepts: top down and bottom up parsing, treebank; Syntactic parsing: CKY parsing; Statistical parsing basics: Probabilistic Context Free Grammar (PCFG); Probabilistic CKY Parsing of PCFGs.	Unit-4	Assignment 2: Due Date:
Unit 5	Semantics Vector Semantics; Words and Vector; Measuring Similarity; Semantics with dense vectors; SVD and Latent Semantic Analysis; Embeddings from prediction: Skip-gram and CBOW; Concept of Word Sense; Introduction to WordNet.	Unit-5	MID 2: Due Date:

Course Timetable

Day/Hour	1	2	3	4	5	6	7
MON	NLP			AM	NLP
TUE	AM	AM LAB			NLP LAB
WED					AM		NLP
THU	NLP	AM
FRI					NLP
SAT		AM

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