Course Details
Subject {L-T-P / C} : CS6379 : Natural Language Processing Laboratory { 0-0-3 / 2}
Subject Nature : Practical
Coordinator : Dr. Tapas Kumar Mishra
Syllabus
POS Tagging (HMM), POS Tagging (Viterbi, CRF), Shallow Parsing / Chunking, Word Sense disambiguation, Named Entity Recognition, Vector State Model and other Retrieval Techniques, Question Answering, Text Summarization, Sentiment Analysis, Natural Language Generation, Machine Translation
Course Objectives
- to understand the underlying concepts of NLP
- To analyze how the conventional methods can be applied to ASR
Course Outcomes
The students should be able to design a ASR and TTS
Essential Reading
- (Daniel Jurafsky and James Martin, Speech and Language Processing, Prentice-Hall
- , ,
Supplementary Reading
- , ,
- , ,