NATURAL LANGUAGE PROCESSING
Academic year2016/17
CourseCOMPUTER SCIENCE
Code337AA
Credits6
PeriodSemester 1
LanguageEnglish
Modules | Area | Type | Hours | Teacher(s) |
ELABORAZIONE DEL LINGUAGGIO NATURALE | INF/01 | LEZIONI | 48 | |
Programma non disponibile nella lingua selezionata
Knowledge
Understanding the field of natural language processing, the main techniques, the
algorithms and softwarearchitectures used in its applications.
Ability to design, implement and evaluate natural language processing systems.
Assessment criteria of knowledge
Methods:
- Final oral exam
- Final laboratory practical demonstration
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- preparation of oral/written report
- Laboratory work
Attendance: Advised
Teaching methods:
Syllabus
Statistical modeling of natural language.
Statistical learning techniques. Lessical analysis.
Grammatical analysis. Semantic analysis.
Annotated corpora and evaluation methodologies.
Statistical methods for machine translation.
Bibliography
C. Manning, H. Schutze. Foundations of Statistical Natural Language Processing. MIT Press, 2000.
D. Jurafsky, J.H. Martin, Speech and Language Processing. 2nd edition, Prentice-Hall, 2008.
S. Kubler, R. McDonald, J. Nivre. Dependency Parsing. 2010.
P. Koehn. Statistical Machine Translation. Cambridge University Press, 2010.
S. Bird, E. Klein, E. Loper. Natural Language Processing with Python.
Updated: 14/11/2016 17:27