AI 中文总结
本文重新定义跨语言的“态”为综合语中选语法模板的机制，以里夫语为基础构建符号计算模型，用有限集学习算法解释名词标记等现象，为相关句法理论提供统一分析。
AI 中文摘要
“态”的语言学概念传统上局限于亚非语系语言的构式（附加）态，被视为特定语言的形态句法现象。本文则提出，“态”是一种系统的、依赖语境的形态句法机制，在综合语中选择语法模板。在基于模板的模块化认知框架内，以里夫语为主要经验基础，所提出的理论为传统上独立分析的各类名词标记模式提供了统一解释，并被形式化为一个符号计算模型，其中“态”由语法模板上的集合值函数表示。基于有限集运算的学习算法可获取并预测依赖“态”的语法配置。除名词形态外，该框架对名词结构和词汇认知理论具有更广泛的意义，尤其为限定词-名词结构提供了统一分析。这些结果表明，“态”是更广泛的句法条件依存关系的实例之一，这类关系还包括一致关系和语法格。
英文摘要
The linguistic notion of state has traditionally been restricted to the construct (annexation) state of Afroasiatic languages and treated as a language-specific morphosyntactic phenomenon. This article argues instead that the state is a systemic, context-dependent morphosyntactic mechanism that selects grammatical templates across synthetic languages. Within the Template-Based Modular Cognitive framework, taking Riffian as its primary empirical basis, the proposed theory provides a unified explanation for diverse nominal marking patterns traditionally analysed independently and is formalised as a symbolic computational model in which the state is represented by a set-valued function over grammatical templates. A learning algorithm based on finite-set operations acquires and predicts state-dependent grammatical configurations. Beyond nominal morphology, the framework has broader implications for theories of nominal structure and lexical cognition, in particular offering a unified analysis of determiner-noun structure. These results suggest that the state constitutes one instance of a broader class of syntactically conditioned dependencies that also includes agreement and grammatical case.
