2024-2025 / INFO1276-1

Statistical analysis of textual data

Duration

30h Th

Number of credits

 Master en langues et lettres anciennes et modernes, à finalité approfondie5 crédits 
 Master in ancient languages and literatures : classics, research focus5 crédits 
 Master in ancient languages and literatures : Oriental studies, research focus5 crédits 
 Master in ancient languages and literatures : classics, teaching focus5 crédits 
 Master in ancient and modern languages and literatures, teaching focus5 crédits 
 Master en linguistique, à finalité spécialisée en analyse des données textuelles5 crédits 
 Master en langues et lettres anciennes et modernes, à finalité spécialisée en édition et métiers du livre5 crédits 
 Master en langues et lettres anciennes, orientation classiques, à finalité spécialisée en édition et métiers du livre5 crédits 
 Master in ancient languages and literatures : Oriental studies, professional focus in languages and civilisation of Far East : China-Japan5 crédits 
 Master in linguistics, professional focus in word processing and analysis of textual data (joint degree programme) (Double diplomation)5 crédits 
 Master en langues et lettres anciennes, orientation orientales, à finalité spécialisée en langues, cultures et sociétés de l'Asie orientale : Chine-Japon5 crédits 
 Master en langues et lettres anciennes et modernes5 crédits 
 Master in ancient languages and literatures : classics (60 ECTS)5 crédits 

Lecturer

Dominique Longrée, Gérald Purnelle

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Introduction to quantitative and statistical analysis of textual data, with the aim of linguistic, literary, or historical studies : principles fo lexicometric and grammaticometricale analysis, statistical tool (Chi2 test, z-score, Factorial Analysis of Correspondence, Tree analysis etc.); topological approach to texts (linear and reticular); study of collocations, colligations and patterns.         

Learning outcomes of the learning unit

This course aims to familiarize students with quantitative and statistical analysis of corpus or text database, in order to be used as research tools for their disciplinary studies.

Prerequisite knowledge and skills

None.

Planned learning activities and teaching methods

Lectures and practical exercises

Mode of delivery (face to face, distance learning, hybrid learning)

2d semester

Course materials and recommended or required readings

Any session :

- In-person

written exam ( open-ended questions ) AND oral exam

- Remote

written exam ( open-ended questions ) AND oral exam

- If evaluation in "hybrid"

preferred in-person


Additional information:

Written and oral examination.

Work placement(s)

Organisational remarks and main changes to the course

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Contacts

Gérald Purnelle CIPL, Bât. A4, bureau -1/6 04 366 55 07 Gerald.Purnelle@ulg.ac.be
dominique.longree@ulg.ac.be

Association of one or more MOOCs

Items online

eCampus Course
eCampus Course