ABSTRACT

This paper explores different regression models for predicting the type valency of Persian suffixes within a usage-based approach. Usage-based models treat the type frequency of a suffix as a key predictor for its type valency revealing that an increase in the type frequency leads to a greater combining power between a construction’s paradigmatic elements. However, this effect is limited to a certain degree by the potential productivity of a suffix, as inferred from the statistically distinguishable negative correlation between the type valency and the potential productivity, as well as from the statistical significance of the variable of the number of hapaxes and the potential productivity in the regression models of conditional inference trees. Moreover, polyvalency as a distinct feature of Persian derivation implies a number of other characteristics, namely greater morphological diversity of patterns, parsability, semantic transparency and larger conversion power of morphemes. This is contrasted with English whose morphemes are predominantly type-monovalent.

摘要

本文探讨了在基于使用的方法中预测波斯语后缀类型化合价的不同回归模型。基于使用的模型将后缀的类型频率视为其类型化合价的关键预测因子，表明类型频率的增加会导致结构的范式元素之间的结合力更大。然而，这种影响在一定程度上受到后缀的潜在生产力的限制，从统计上可区分的类型化合价和潜在生产力之间的负相关以及从 hapaxes 数量变量的统计显着性推断以及条件推理树回归模型中的潜在生产力。而且，多价作为波斯派生的一个显着特征意味着许多其他特征，即模式的更大形态多样性、可解析性、语义透明度和更大的词素转换能力。这与语素主要是类型单价的英语形成鲜明对比。