汉语篇章广义话题结构的认知计算模型研究

A cognitive computational model of generalized topic structure in Chinese text

广义话题结构是汉语篇章中客观存在的结构形式。依据有限状态机的思想设计了识别广义话题结构的计算模型,在较大规模语料中初步检验了它的有效性,分析了该模型的空间复杂度和时间复杂度。该模型的特点是:递推控制,输出和输入以标点句为单位同步进行,无长距离回溯,有限回填,有限存储,保持词序。这些特点正是人在"话题—说明"信息的认知过程中所遵循的准则,因此该计算模型可以看作人完成这一认知过程的机械模型。

Generalized topic structure（GTS）is the fundamental objective structure in Chinese text.We design a computational model to recognize this structure based on the idea of finite-state machine（FSM）.We preliminarily prove its validity in large-scale corpus and analyze its spatial complexity and time complexity.The characteristics of this model are：iterative control,synchronization of output and input in punctuation clauses（P-clause）,none backtracking in long distance,limited backfilling,limited storage,and unchanged lexical order.These features are also the principles obeyed by human being while cognizing the topic-comment information in text.Thus,this model can be regarded as a mechanical model of the cognitive process of human.