UCL - Natural language processing

[FLTR2620]

[22.5h] 5 credits

This course is taught in the 1st semester.

Teacher(s):

Language: French

Level: Second

Aims
Main themes
Content and teaching methods
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Aims

The course will teach students the basic theory necessary to understanding the current objectives and issues of the automatic natural language processing (ANPL). At the same time, students will learn to analyse and explain the practical and technical limits that arise in the elaboration of computer systems aimed at language processing (problems of ambiguity, necessity of linguistic resource adaptability, multilingualism, etc.). By the end of the course, students will have received an overview of the "state of the art" in ANLP, be able to take a critical approach to ANLP applications, and have a general knowledge of the main theories in the field.

Main themes

The course begins with the architectural study of a complex automatic language processing system (recognition, analysis, generation). It continues with the study of the central linguistic theories and computer formalities of ANLP. Special attention is given to the presentation and analysis of real applications.

Content and teaching methods

The course is comprised of interactive lectures. A reading folder made up of specialised articles allows students to prepare for courses, which begin with a question and answer period.

Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)

Nil.