OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

AIMS AND LEARNING OUTCOMES

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

TEACHING METHODS

Frontal and online lectures and practice
Lessons will be held in the 2nd semester

SYLLABUS/CONTENT

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

RECOMMENDED READING/BIBLIOGRAPHY

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)

TEACHERS AND EXAM BOARD

Exam Board

ILARIA TORRE (President)

SIMONE TORSANI

LESSONS

LESSONS START

Second semester

Class schedule

COMPUTER SCIENCE

EXAMS

EXAM DESCRIPTION

Oral examination

ASSESSMENT METHODS

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.

Exam schedule