UPPALA VIJAY KUMAR (Phd)

Welcome to the Natural Language Processing.

📚 Content📚


SYLLABUS:
UNIT
DETAILS
I
Introduction to NLP: Introduction & applications, NLP  Phases, Difficulty of NLP including ambiguity; spelling error and noisy channel Model; concepts of parts-of-speech and formal grammar of English 
MCQs
   II
Language Modelling: N-gram and Neural Language Models Language Modelling with N-gram, 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.
  III
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.  (notes)
  IV
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
  V
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.

Assessment