ABSTRACT

The main aim of this article is to introduce a new way of dealing with the vague concept of suffix productivity in Persian. This approach, that is fuzzy set theory, gives each suffix a degree of membership from [0,1] to different productivity categories. To estimate morphological productivity of Persian suffixes, first Baayen’s proposed measures, i.e. realized productivity, expanding productivity and potential productivity were applied to Bijankhan corpus. Correspondingly, 2.6 million words in the corpus were investigated and analysed using MATLAB and Microsoft Excel software. In the next step, the results of the three productivity measures were illustrated on separate fuzzy diagrams. The findings showed that the three measures employed could give a broader view of different aspects of derivational suffix productivity in Persian. Using fuzzy set theory makes it possible for a given suffix to belong simultaneously to different categories with different degrees of membership. According to the statistics of this research, suffixes – i and – e in Persian had the highest degrees of membership among the most productive suffixes up to now. Likewise, they continue to contribute the most to the growth rate of the contemporary Persian lexicon.

摘要

本文的主要目的是介绍一种处理波斯语中后缀生产力这个模糊概念的新方法。这种方法，即模糊集理论，为每个后缀赋予从 [0,1] 到不同生产力类别的隶属度。为了估计波斯语后缀的形态生产力，首先将Baayen提出的度量，即实现生产力、扩展生产力和潜在生产力应用于Bijankhan语料库。相应地，使用 MATLAB 和 Microsoft Excel 软件对语料库中的 260 万个单词进行了调查和分析。在下一步中，三种生产力测量的结果在单独的模糊图上进行了说明。研究结果表明，所采用的三项措施可以更广泛地了解波斯语衍生后缀生产力的不同方面。使用模糊集理论可以使给定的后缀同时属于具有不同隶属度的不同类别。根据这项研究的统计，后缀——到目前为止，波斯语中的i和-e在最具生产力的后缀中具有最高的隶属度。同样，他们继续为当代波斯语词典的增长率做出最大贡献。