Master TAL - MSc. NLP

Course Unit

Natural Language Processing Methods

UE

704

EC

1

Hours

36h

Course Description

The objective of this course is to give basic tools used in Natural Language Processing and to show how they are put to use. We pay focus mainly to regular expressions and their relationship with final state automatons, as well as transducers (which are mainly used in morpho-syntactic analysis), and free-context grammars. We will show how these are used in order to construct the analysis of syntactic trees, which will lead to a discussion about computational semantics. The objective is to put into place a minimalistic solution to an NLP problem. In this way, students will have a more enlarged perspective during the coursework of the second semester and why each class could improve such a minimalistic approach.

 

Learning Outcomes

  • Knowledge of the scope of NLP research questions
  • Practical application of basic NLP tools
  • Implementation of a minimal solution of an NLP problem

    The courses for the first semester of the master do not have prerequisites other than those defined for the specialisation

Prerequisites

  • The courses for the first semester of the master do not have prerequisites other than those defined for the specialisation

Targeted Skills

  • Analyse a problem before processing written or spoken data through information technology
  • Combine and utilise interdisciplinary skills and know-how in the aims of creating innovative solutions

Professor

Maxime Amblard

IDMC

More Informations

Bibliography

  • To be completed

Course URL – Arche

  • To be completed

Link with other courses

  • 702 and 803

Evaluation procedures

Number of Tests

  • 2

Nature of the tests

  • labs
  • final exam

Group work

  • N/A

Combine with other specialization

  • Master in Linguistics (SDL)

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