ECTS - University of Pisa
Scheda programma d'esame
NATURAL LANGUAGE PROCESSING
GIUSEPPE ATTARDI
Academic year2016/17
CourseCOMPUTER SCIENCE
Code337AA
Credits6
PeriodSemester 1
LanguageEnglish

ModulesAreaTypeHoursTeacher(s)
ELABORAZIONE DEL LINGUAGGIO NATURALEINF/01LEZIONI48
GIUSEPPE ATTARDI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
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:

  • Lectures
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