SPEECH and LANGUAGE PROCESSING PPT PDF SLIDES

An Introduction to Natural Language Processing,
Computational Linguistics, and Speech Recognition
Second Edition

by Daniel Jurafsky and James H. Martin

• 23/7/09 Lecture 1 : Introduction
• 27/7/09 Lecture 2 : Machine Learning and NLP
• 28/7/09 Lecture 3 : ArgMax Computation
• 30/7/09 Lecture 4 : WSD : WordNet
• 10/8/09 Lecture 5 : Wordnet; Application in Query Expansion
• 11/8/09 Lecture 6 : Wiktionary; semantic relatedness; how toread research papers
• 19/8/09 Lecture 7 : Measures of WordNet Similarity
• 19/8/09 Lecture 8 : Quiz 1
• 25/8/09 Lecture 9 : Resnick's Measure of WordNet Similarity
• 27/8/09 Lecture 10 : Parsing Algorithms
• 31/8/09 Lecture 11 : Evidence for Deeper Structure; Top Down Parsing Algorithms
• 31/8/09 Lecture 12 : Noun Structure; Top Down Parsing Algorithms- contd.
• 01/9/09 Lecture 13 : Non-noun Structure Parsing Algorithms
• 03/9/09 Lecture 14 : Probabilistic parsing; sequence labeling, PCFG [ pdf ]
• 07/9/09 Lecture 15 : Probabilistic parsing; PCFG (contd.) [ pdf ]
• 08/9/09 Lecture 16 : Probabilistic parsing; computing probability of a sentence [ pdf ]
• 10/9/09 Lecture 17 : PCFG; Arguments and Adjuncts [ pdf ]
• 22/9/09 Lecture 18 : Probabilistic parsing; inside-outside probabilities [ pdf ]
• 24/9/09 Lecture 19 : Speech : Phonetics
• 24/9/09 Lecture 20 : HMM - Combined Lecture with CS 621
• 29/9/09 Lecture 21 : Morphology - Guest Lecture by Mughdha Bapat [ pdf ]
• 30/9/09 Lecture 22 : Graphical Models for Sequence Labelling in NLP. - Guest Lecture by Anup Kulkarni
• 01/10/09 Lecture 22 : Graphical Models for Sequence Labelling in NLP (contd.). - Guest Lecture by Anup Kulkarni
• 05/10/09 Lecture 23 : Phonetics (contd.).
• 06/10/09 Lecture 24 : Consonants (place and manner of articulation) and Vowels.
• 08/10/09 Lecture 25 : Vowels (contd.) and a “grand” assignment.
• 09/10/09 Lecture 26 : Forward Backward probability; Viterbi Algorithm - Combined Lecture with CS 621
• 15/10/09 Lecture 27 : Phonology.
• 20/10/09 Lecture 28a : Sentiment Analysis and Opinions on the Web. - Guest Lecture by Aaditya Joshi.
• 20/10/09 Lecture 28b : Machine Translation and MT Tools - GIZA++ and Moses. - Guest Lecture by Nirdesh Chauhan [pdf ]
• 22/10/09 Lecture 29 : Text Entailment. - Guest Lecture by Prasad Pradip Joshi
• 26/10/09 Lecture 30 : POS Tagging.
• 27/10/09 Lecture 31 : Phonology; ASR, Speech Synthesis.
• 29/10/09 Lecture 32-33 : HMM and Viterbi.
• 02/11/09 Lecture 34 : Precision, Recall, F-score, Map.
• 03/11/09 Lecture 35 : Semantic Relations; UNL; Towards Dependency Parsing.
• 05/11/09 Lecture 36 : UNL.
• 11/11/09 Lecture 37 : Semantic Role Extraction.
• 11/11/09 Lecture 38-39 : Baum Welch Algorithm; HMM training.