Text Understanding Word forms : Morphology,Diversity,paradigms; Structures and Meaning : Lexical Knowledge Phonetics and Phonolgy, Morphology, Lexical Analysis, Semantic Analysis , Pragmatics
Text Processing Word and sentence tokenisation, Regex Applications Wordnet and webscraping , Stanford Core NLP, NLTK, Spacy, Frequency Distribution, N Gram analysis Stemming, Lemmatisation, Parsing, Wordnet, Pos tagging
Text Modelling N Gram Models, Smoothing, Backoff, Interpolation TFIDF and Supervised Classification with word2vector Clustering and Latent Semantic Analysis
Classical NLP Wordnet, Pos tagging POS tagging – Fundamental principals, challenges, accuracy HMM, Viterbi, Forward and backward pass, baum welch algorithm Chunking, Probabilistic parsing, ambuguity parsing, Constituency parsing,
NLP applications I Question answering(chatbot) Machine Translation – the problem, State of art, challenges Stastical Machine Translation Email Author Identification Named entitiy Recognition Neural Machine Translation
NLP applications II Neural Machine Translation Information Extraction, Summarisation, Summarisation, question answering Word sense disambiguation implementation using practice code Text similarity on Quora using semantic similarity measures Discourse Representation Theory