EE-724 / 4 credits

Teacher: Popescu-Belis Andrei

Language: English

Remark: Next time: Spring 2022


Frequency

Every 2 years

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

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.

 

In the programs

  • Exam form: Multiple (session free)
  • Subject examined: Human language technology: applications to information access
  • Lecture: 28 Hour(s)
  • Practical work: 28 Hour(s)

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22