2019-2020 / INFO1276-1

Statistical analysis of textual data

Duration

30h Th

Number of credits

 Master in ancient and modern languages and literatures (120 ECTS)5 crédits 
 Master in linguistics (120 ECTS) (Double diplomation)5 crédits 

Lecturer

Dominique Longrée, Gérald Purnelle

Coordinator

Dominique Longrée

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)

2d semester

Recommended or required readings

Assessment methods and criteria

Written and oral examination.

Work placement(s)

Organizational remarks

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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

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

sans objet

Assessment subjects

sans objet

Assessment methods

sans objet

Contacts

sans objet

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

Assessment methods

Contacts

Items online

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eCampus Course