2020-2021 / 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, hybrid learning)

2d semester

Organisational adjustments related to the current health context

Recommended or required readings

Assessment methods and criteria

Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.

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)

Organizational remarks

 ///

Contacts

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

Items online

eCampus Course
eCampus Course