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CODE 55966
ACADEMIC YEAR 2024/2025
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE Italian
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

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 lectures and practice

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
Text annotation methods
linguistic annotation exercises

3. Automated and Computer-assisted translation
Approaches in Computer-assisted translation
Tools for Computer-assisted translation
Artificial Intelligence and Large Language Models
Post-editing

RECOMMENDED READING/BIBLIOGRAPHY

- Alessandro Lenci, Simonetta Montemagni, Vito Pirrelli. Testo e computer - Elementi di linguistica computazionale, Carrocci, 2016.

Information will be provided on AulaWeb regarding the specific chapters for the exam.
- Additional materials (slides, papers, practices and tools) will be delivered through the AulaWeb portal.

Further reading:

- Malvina Nissim e Ludovica Pannitto, Che cos'è la linguistica computazionale, Carrocci, 2022.

 

Textbook and readings are the same for both attending and non-attending students.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

FIRST SEMESTER

EXAMS

EXAM DESCRIPTION

The exam consists of:

  • written test on the course topics
  • computer-based practical test with the final output to be uploaded for evaluation

During the lecture period, exercises will be carried out that may provide additional points to the written test result.

 

ASSESSMENT METHODS

The assessment is aimed to evaluate the knowledge acquired and abilities concerning the automatic processing of texts and the management of computer-supported translation projects.

Details will be provided on the course webpage of the AulaWeb platform.

FURTHER INFORMATION

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Prof. Sara Dickinson (sara.dickinson@unige.it), the Department’s disability liaison.