Statistics for Linguistics

LCLIG2240  2016-2017  Louvain-la-Neuve

Statistics for Linguistics
10.0 credits
30.0 h + 15.0 h
2q

Teacher(s)
François Thomas ;
Language
Français
Prerequisites

One course of introduction to linguistics.

Main themes

Data collection: descriptive and experimental methods, reliability and validity, sampling procedures.
Descriptive statistics: definitions, graphical representation, numerical summaries.
Using a statistical software
Inferential statistics : main concepts.
Basic statistical analyses and tests: frequency analysis (categorical data), testing hypotheses about means, correlation and regression, non parametric tests. Advanced statistical analyses and tests: interrater agreement measures, multivariate descriptive techniques, regression models for contingency tables, '.

Aims

At the end of the course, the student will be able to use the main statistical tools and concepts of quantitative linguistics. He will be able to choose appropriate methods for specific research objectives and to use it in the framework of linguistic research. Most of all, the student will be able to make a critical review of the results obtained by a quantitative analysis. He will also be trained to use a statistical analysis software.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Evaluation methods

The evaluation is three-fold :
- continuous assessment (exercices during TP and readings) (20 %)
- written examination (30 %)
- personal written project (with an oral presentation) (50 %)

Teaching methods

Lectures + readings + practical works

Content

The organization of the course is twofold :

  1. The first part of the course consists in a theoretical approach in the field of textual data statistical analysis introducing the main concepts in statistics (descriptive statistics, inference, and modeling).
  2. The second part of the course will provide a practical approach of the field. It will give the students the opportunity to practice what he/she has learned in the theoretical introduction through a personal research project covering real linguistic data.
Bibliography

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
Howell, D. (2008). Méthodes statistiques en sciences humaines, Paris, De Boeck Université.
Muller, Charles (1992). Initiation aux méthodes de la statistique linguistique, Champion.
Rasinger, S.M. (2008). Quantitative Research in Linguistics. New York, Continuum International Publishing Group

Other information

Support: slides; articles ou book chapters; R code; Moodle (web site with forum and exercises)

Faculty or entity<


Programmes / formations proposant cette unité d'enseignement (UE)

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Modern Languages and Letters : German, Dutch and English
10
-

Master [120] in French and Romance Languages and Letters : French as a Second Language
10
-

Master [120] in Linguistics
10
-

Master [120] in Ancient and Modern Languages and Letters
10
-

Master [120] in Modern Languages and Letters : General
10
-