Chargement en cours…

Corpus Methods for Semantics : Quantitative studies in polysemy and synonymy.

This text offers an introduction to binary logistic regression, a confirmatory technique for statistically modelling the effect of one or several predictors on a binary response variable. It is explained why logistic regression is exceptionally well suited for the comparison of near-synonyms in corp...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Glynn, Dylan
Autres auteurs: Robinson, Justyna A.
Format: Électronique eBook
Langue:Inglés
Publié: Amsterdam/Philadelphia : John Benjamins Publishing Company, 2014.
Collection:Human cognitive processing.
Sujets:
Accès en ligne:Texto completo
Description
Résumé:This text offers an introduction to binary logistic regression, a confirmatory technique for statistically modelling the effect of one or several predictors on a binary response variable. It is explained why logistic regression is exceptionally well suited for the comparison of near-synonyms in corpus data; the technique allows the researcher to identify the different factors that have an impact on the choice between near synonyms, and to tease apart their respective effects. Moreover, the technique is well suited to deal with the type of unbalanced data sets that are typical of Corpus Linguis.
Description:5. Multifactorial results. Logistic regression analysis.
Description matérielle:1 online resource (553 pages)
Bibliographie:ReferencesA case for the multifactorial assessment of learner language: The uses of may and can in French-English interlanguage; 1. Introduction and overview; 2. Setting the stage; 3. Data and methods; 4. Results and discussion; 5. Concluding remarks; References; Dutch causative constructions: Quantification of meaning and meaning of quantification; 1. Introduction; 2. Dutch causative constructions; 3. Data and variables; 4. Statistical analysis; 5. Linguistic interpretation of the statistical models; 6. Conclusion; References.
ISBN:9789027270337
9027270333