- Docente: Fabio Tamburini
- Credits: 6
- SSD: L-LIN/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
-
Corso:
Second cycle degree programme (LM) in
Semiotics (cod. 8886)
Also valid for Second cycle degree programme (LM) in Italian Studies, European Literary Cultures, Linguistics (cod. 0973)
Second cycle degree programme (LM) in Language, Society and Communication (cod. 8874)
Learning outcomes
At the end of this course the student will be able to manage some of the main topics in Natural Language Processing placing particular emphasis on advanced empirical methods used for linguistic analysis.
Course contents
Introduction
- Natural Language Processing - Problems and perspectives
- Basic corpus linguistics
- Fundamentals of probability calculus
- N-grams and language models
Natural Language Processing
- Machine learning techniques.
- Methods for evaluating application performances in Computational Linguistics.
- Linguistics from a computational point of view.
- COMPUTATIONAL PHONETICS
- Audio sample properties - phones and formants
Frequency Analysis - Spectrograms - Soprasegmental phenomena.
- Applications for speech processing.
- COMPUTATIONAL MORPHOLOGY
- Generation and morphological analysis. Tabular lexica.
- Techniques based on Finite State Automata.
- COMPUTATIONAL SYNTAX
- Part-of-speech tagging
- Grammars for natural language
- Parsing natural languages
Formal grammars for language
analysis - Formal languages and natural language
- Context-free grammars
- Dependency grammars
- Treebanks
- COMPUTATIONAL SEMANTICS
- Lexical semantics: WordNet, FrameNet...
- Word Sense Disambiguation
- Distributional Semantic Models
- Sentence semantincs and meaning representation
- Case study: automatic identification of prosodic prominence
- Stylometry
- Dialectometry
Readings/Bibliography
Some chapters extracted from:
- Lenci, A., Montemagni, S. and Pirrelli, V. (2005). Testo e
computer. Carocci.
- D. Jurafsky and J.H. Martin (2008). Speech and Language
Processing, 2nd ed., Prentice Hall.
- A. Clark, C. Fox, S. Lappin (2010). The Handbook of Computational
Linguistics and Natural Language Processing, Blackwell Handbooks in
Linguistics.
Slides, handouts and papers downloadable from the course web site
http://corpora.ficlit.unibo.it/LingCompLM/
Teaching methods
Face-to-face classes and laboratory sessions for 30 hours.
Assessment methods
The exam consists of an oral colloquium on the course contents designed to evaluate the critical skills and methodological knowledge gained by the student.
Reaching a clear view of all the course topics as well as using a correct language terminology will be valued with maximum rankings.Mnemonic knowledge of the course topics or not completely appropriate terminology will be valued with intermediate rankings.
Unknown topics or inappropriate terminology use will be valued, depending on the seriousness of the omissions, with minimal or insufficient rankings.
It is compulsory to register for the exam using the online procedure.
Teaching tools
The course web site is the central point for any kind of
information about the course. It contains the handouts and the
readings discussed during the lessons as well as a rich software
repository useful for laboratory practice.
A CD-ROM has been prepared for the students containing a complete
computing environment to practice with the procedures proposed
during the course. This tool will be used also in the laboratory
sessions.
Links to further information
http://corpora.ficlit.unibo.it/LingCompLM/
Office hours
See the website of Fabio Tamburini