Master TAL - MSc. NLP
Course Unit
Text processing
UE
902
EC
EC2
Hours
24h
Course Description
This course introduces machine learning methods and special libraries (NLTK, Gizza, etc.) currently put in use in order to model different sub-tasks (labeling and syntactic analysis, name entity recognition, etc. ) and other applications of text processing. We will focus on automatic translation based on provided corpora in order to, on the one hand, illustrate on these steps and, on the other hand, review the Expectation-Maximisation algorithm.
Learning Outcome
- Usage of NLP tools for classical scenarios
- Put to use automatic translation techniques
Prerequisites
-
UE 704, UE 803 and UE 804
Targeted Skills
- Analyse a problem before computationally treating spoken or written data
- Put to work different interdisciplinary skills to the effect of creating innovative solutions.
- Know how to apply algorithmic techniques, linguistic analysis, statistics, and knowledge processing.
More Informations
Bibliography
- To be completed
Course URL – Arche
- To be completed
Link with other courses
- to be completed
Evaluation procedures
Number of Tests
- to be completed
Nature of the tests
- to be completed
Group work
- to be completed
Combine with other specialization
- No