Optimizing Decision Trees for the Analysis of World Englishes and Sociolinguistic Data - Couverture souple

Buschfeld, Sarah; Weihs, Claus

Couverture souple

ISBN 10 : 1009470353 ISBN 13 : 9781009470353

Editeur : Cambridge University Press, 2026

Synopsis

This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is based on decision trees and controls their size in a way that they are easy and straightforward to interpret. Furthermore, PrInDT optimizes their accuracy so that they best fit the data and can be reliably used for prediction. Moreover, it can handle unbalanced classes that occur, for example, when comparing non-standard with standard linguistic realizations. The various PrInDT functions can deal with classification and regression tasks and can analyze multiple endogenous variables jointly, even for models combining classification and regression. The authors introduce these features in some detail and apply them to World Englishes and sociolinguistic datasets. As examples, they draw on L1 child data from England and Singapore as well as linguistic landscapes data from the Eastern Caribbean island of St. Martin.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1009470353
• ISBN 13: 9781009470353
• Reliure: Broché
• Nombre de pages: 108
• Coordonnées du fabricant: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italie