NATURAL LANGUAGE PROCESSING: TEXT AND SPEECH ANALYSIS

PROFESSOR IN CHARGE: Licia Sbattella, DEIB

LECTURERS: Licia Sbattella, PhD and Roberto Tedesco, PhD

MISSION AND GOALS: Providing basic and advanced techniques for manipulating human language, both as written and vocal contents. A particular attention will be paid on interaction and dialog analysis

TEACHING ORGANIZATION: 6 lectures (4 hours each): - Frontal lectures; - Cooperative sessions guided by applicative problems mainly dealing with discourse and dialog analysis

TEACHING MATERIALS: Slides, papers, 

BIBLIOGRAPHY: Jurafsky, D., Martin. J. H.,  Speech and Language Processing. 2ed, Prentice Hall, 2009.

PROGRAM:

1. Speech and Language processing for innovation and research

2. Syntax

                  2.1 POS tagging

                  2.2 Shallow and full parsing; probabilistic parsing;
                       dependency parsing

3. Semantics

                  3.1 Representing meaning

                  3.2 Lexical resources

4. Pragmatics

                  4.1 Question answering

                  4.2 Discourse and Dialog Analysis

                  4.3 Conversational agents

5. Speech and Prosody

                  5.1 Phonology and Prosody

                  5.2 Interaction analysis and vocal profiles

                  5.3 TTS / ASR

6. Innovative Applications

                  6.1 An integrated model for forensic applications

                  6.2 Models for clinic and education

Personal homework and a final seminar:

- Analysis of one or more advanced papers about a specific course topic;

- Definition of possible research based on what has been presented and deeply analyzed.