In this paper, we show that conditional inference trees and ensembles are suitable methods for modeling linguistic variation. As against earlier linguistic applications, however, we claim that their suitability is strongly increased if we combine prediction and interpretation. To that end, we have developed a statistical method, PrInDT (Prediction and Interpretation with Decision Trees), which we introduce and discuss in the present paper.

翻译：在本文中,我们表明有条件的推断树木和组合是模拟语言变异的适当方法,然而,与早先的语言应用相比,我们声称,如果我们将预测和解释结合起来,它们的适宜性就会大大提高,为此,我们制定了一种统计方法,即PrInDT(用决定树进行描述和解释),我们在本文件中介绍和讨论。