Introductory concepts of Linguistic systems, Language Modeling and Sequence tagging, Word stemming, tokenization, normalization, Part of Speech tagging, Traditional models of distributional semantics, Unstructured Text Management, Word and Sentence embeddings, n-gram models, Maximum Entropy models, Hidden Markov Models, Viterbi Algorithm, Neural Language Models; Information Extraction, Named Entity Recognition, Relation Extraction; Understanding Semantics, word sense and word similarity, Lesk Algorithm, Wordnets, Topic Modeling, Dialog Systems, Emerging trends, Research issues, challenges, interesting applications in various domains.