The Paradigm Cell Filling Problem ( pcfp ): “What licenses reliable inferences about the inflected (and derived) surface forms of a lexical item?”Ackerman et al. ( 2009 , p. 54) has received considerable attention during the last decade. The two main approaches that have been explored are the Information Theoretic approach which aims to measure the information contained in the implicative relations between cells of a paradigm; and the neural network approach, which takes an amorphous view of morphology and tries learn paradigms form surface forms. In this paper I present a third alternative based on analogical classification which tries to integrate elements from both approaches. I will present a case study on the Russian nominal inflection system, and will argue that implicative relations between markers, noun semantics and stem phonology all play a role in helping speakers solve the pcfp .

中文翻译：

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俄罗斯名义拐点系统的类比，复杂性和可预测性

范式单元填充问题（pcfp）：“什么允许对词法项的变形（和派生）表面形式进行可靠推断？” Ackerman等人。（2009年，第54页）在过去十年中受到了相当多的关注。已探索的两种主要方法是信息理论方法，旨在测量范式单元之间隐含关系中包含的信息。和神经网络方法，它从形态学的角度出发，试图学习表面形式的范式。在本文中，我提出了一个基于类比分类的第三种替代方法，该方法试图整合两种方法的元素。我将针对俄罗斯名义拐点系统进行案例研究，并指出标记之间的暗示关系，