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