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Our Degree Programs
Establishment
Language of instruction
French, English
Teaching content
MB-IT
Training officer(s)
N.IHADDADENE
Présentation
Prerequisite
Knowledge in Algorithmics
Goal
• Understand the basics of Natural Language Processing (NLP).
• Browse the NLP application areas : Search engines and recommendation systems, natural interfaces, conversational agents, translation, text recognition and speech synthesis, spell checking, ...
• Corpus manipulation tools, preprocessing, Machine Learning applied to natural language content (texts, web, ...).
• Natural interfaces, creation of chatbots and conversational agents.
• Browse recent advances in AI applied to Natural Language Processing.
• Mini project.
• Browse the NLP application areas : Search engines and recommendation systems, natural interfaces, conversational agents, translation, text recognition and speech synthesis, spell checking, ...
• Corpus manipulation tools, preprocessing, Machine Learning applied to natural language content (texts, web, ...).
• Natural interfaces, creation of chatbots and conversational agents.
• Browse recent advances in AI applied to Natural Language Processing.
• Mini project.
Presentation
• Introduction
• Basics and applications
• Corpus creation and manipulation, basic operations and pre-processing
• AI and ML techniques
• Natural interfaces, conversational agents, chatbots.
• Applications, labworks and and mini project.
• Basics and applications
• Corpus creation and manipulation, basic operations and pre-processing
• AI and ML techniques
• Natural interfaces, conversational agents, chatbots.
• Applications, labworks and and mini project.
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Face to face | |||
| Lectures - face to face | 28,00 | ||
| Independent study | |||
| Independent study | 30,00 | ||
| Overall student workload | 58,00 | ||
Evaluation