Fiches de cours

Human language technology: applications to information access

EE-724

Lecturer(s) :

Popescu-Belis Andrei

Language:

English

Frequency

Every 2 years

Remarque

Every 2 years. Cancelled – Next time: Fall 2020

Summary

The HLT course introduces applications of human language technology focusing on accessing text information across three types of barriers: the quantity barrier (large repositories), the cross-lingual barrier, and the subjective barrier (human interactions).

Content

The following technologies will be studied for each barrier to information access:

Note

The course includes lectures (2h) followed by laboratory exercises (2h) using freely-available software and language resources to perform one of the tasks introduced in the course and to illustrate the properties of one or several presented algorithms. The exercises will serve as starting points for the individual projects (graded based on report and oral defense at the end of the semester), on a topic to be chosen in agreement with the lecturer. Once in the semester students will present a scientific article, and one laboratory exercise will be graded.

Keywords

Human language technology, language engineering, information retrieval, machine translation.

Learning Prerequisites

Recommended courses

At least one prior course in statistics, machine learning, computational linguistics, or artificial intelligence. Programming proficiency in a language such as Perl or Java.

Assessment methods

Project report and oral presentation.

 

Resources

Websites

In the programs

Reference week

 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German