Module
Natural
Language Processing - UE 401 : Information Retrieval - MSc. in Computer
Science (Information Systems and Decision
Support) - Year 1 - Semester 2
Aims
This lecture gives to students in Computer Science a brief overview on
linguistics and presents some basic techniques of Natural Language
Processing, concerning speech analysis, morphology or syntactic
analysis. It finally presents some applications of LNP. This
lecture is provided by Jean-Yves Antoine,
Agata Savary and Nathalie
Friburger.
Course
material
You
can freely download the documents (slides) that are used during this
lecture.
Teachers: please feel free to contact me if you need a
Powerpoint version of these presentations.
Lectures
: Linguistics
- Introduction to linguistics
technologies
- Speech
- Morphology [Agata Savary]
- Syntax
- Semantics and pragmatics
Lectures : NLP
- Named-entities detection [Nathalie Friburger]
- Textual Information Retrieval
[ Agata
Savary / Nathalie Friburger]
- Text Mining
Pratical exercices
- Speech Analysis
- Morphological
analysis with Xerox languaga tools and Unitex [Agata
Savary]
- Textual Informaton Retrieval [Agata
Savary]
Bibliography
- Allen J. (1995) Natural
Language Understanding. Benjamins / Cummings
- Biber D. (1988) Variations
across speech and writing. Cambridge University Press.
- Grosz B., Jones K., Webber B.
(Eds.) (1986) Readings in Natural Language Processing. Morgan Kaufmann
Publ.
- Huang X., Acero A., Hon H-W.
(2001) Spoken Language Processing : a guide to theory, algorithm and
system development. Pretice Hall, Upper Saddle River, NJ.
Natural Language Processing 
