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Scheda Riassuntiva
Anno Accademico 2015/2016
Tipo incarico Dottorato
Insegnamento 098892 - NATURAL LANGUAGE PROCESSING: TEXT AND SPEECH ANALYSIS
Docente Sbattella Licia
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1380) - INGEGNERIA DELL'INFORMAZIONE / INFORMATION TECHNOLOGYAZZZZ098892 - NATURAL LANGUAGE PROCESSING: TEXT AND SPEECH ANALYSIS

Programma dettagliato e risultati di apprendimento attesi

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

 

 

 


Note Sulla Modalità di valutazione

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.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica
 

Bibliografia
Risorsa bibliografica obbligatoriaJurafsky, D., Martin. J. H.,, Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, Second Edition, Editore: Prentice Hall, Anno edizione: 2009

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
24.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese

Note Docente
The course will be held on October and November 2016
schedaincarico v. 1.5.0 / 1.5.0
Area Servizi ICT
22/05/2019