花园幽径现象理解折返性的数据结构分析

Towards Data Structure Analysis of Half-Returned Feature of Understanding Garden Path Phenomenon

该文讨论了花园幽径现象(GPP)的数据结构。GPP数据结构呈现理解折返的认知树形结构,不同于语法前状态的词集合结构、句子理解的语法线性结构和语义匹配多对多的歧义图状结构。GPP结构的显著性特征如下:(1)GPP理解初期,数据结构呈线性特征;(2)GPP理解中期,语义触发点迫使原解码模式被推翻,数据结构表现为词集合结构;(3)GPP理解末期,行进式错位导致回溯形成,解码结构最终呈现树形结构;(4)GPP动态解码融合了除歧义图状结构之外的两种结构特征,语义触发语的激活产生额外认知负担。GPP树形结构与歧义图状结构的不同从数据结构角度证实了两种语法现象的迥异,从而为计算语言学解读GPP提供了理论支撑。

This paper discusses data structure of garden path phenomenon （GPP）. The data structure of GPP be longs to cognitive tree-liked structure rather than the other structures, e.g. word set structure in pre-grammar con dition, linear grammatical structure in syntactic understanding, and ambiguous map-liked structure in semantic- matched multiple cognition. The distinctive structure features of GPP include. （1） In the early understanding, the data structure of GPP shows a linear {eature~ （2） in the medium-term understanding, semantic trigger point brings the breakdown of the original model, and the data structure of GPP is a word set structure; （3） in the late under- standing, processing breakdown results in backtracking and GPP creates a tree-liked data structure at the end; （4） the dynamic understanding of GPP is the integration of two structures except map-liked one, and the activation of semantic trigger point brings additional cognitive load. The difference between tree-liked data structure of GPP and map-liked data structure of ambiguity reflects the dissimilarity between these two syntactic phenomena from the perspective of data structure, which provides the theoretical support for computational linguistics to interpret GPP.