Computational Linguistics aims at developing models and tools for natural language processing. since it combines methods and techniques from both linguistics, computer science, artificial intelligence and statistics, Computational Linguistics is interdisciplinary in nature. The scope of the discipline is therefore quite broad, and the course focuses on some of its many issues: corpus linguistics, information management, text annotation, automated and assisted translation.
The course aims at providing learners with the basic notions of automatic text processing, knowledge of the mechanisms behind automated translation and quantitative corpus analysis and the skills necessary to work with computer assisted translation.
Students will learn: the fundamentals of Computational Linguistics and the principles of automated and computer-assisted translation the principles and techniques for information management the principles and techniques for text annotation through XML the skills necessary to work with computer-assisted transaltion and terminology management
Frontal and online lectures and practice Lessons will be held in the 2nd semester
1. Computational Linguistics and tools for linguistic analysis Introduction to Computational Linguistics Levels of analysis and linguistic annotation Tools for linguistic analysis: corpora, glossaries and concordance 2. Methods and tools for linguistic analysis and translation Text encoding Databases XML 3. Automated and Computer-assisted translation Approaches in Computer-assisted translation Tools for Computer-assisted translation
The bibliography will be indicated at the beginning of the course. Additional materials (slides, practices and tools) will be delivered through the AulaWeb portal Current Year -> Computer Science -> Computational Linguistics (Informatica --> Elementi di Linguistica Computazionale e Traduzione Assistita)
Ricevimento: Appointment by email
ILARIA TORRE (President)
SIMONE TORSANI
Second semester
COMPUTATIONAL LINGUISTICS AND COMPUTER-ASSISTED TRANSLATION
Oral examination
The assessment will take into account the oral colloquium and the discussion of a project.
Details will be provided on the course webpage of the AulaWeb platform.