基因算法:含义研究的新思路  

Genetic Algorithms: A New Approach for the Study of Implicature

作　　者：黄缅 徐盛桓[2] HUANG Mian;XU Sheng-huan

机构地区：[1]重庆师范大学外国语学院 [2]河南大学外语学院

出　　处：《天津外国语大学学报》2022年第6期16-24,108,109,共11页Journal of Tianjin Foreign Studies University

摘　　要：含义是语用学研究的经典课题。自格赖斯提出会话含义理论以来已有多半个世纪,对含义如何推导的研究一直秉承着建构原则范式的思路。时代和科技的发展给人们的生活带来改变,同时也带来语言运用的变化,有些含义的表达就不一定能基于原则的推导机制而获得。文章将含义的推导从基于原则转移到基于基因算法的推导,仿用生物进化过程的计算模型进行含义研究,使含义推导获得一种优化解。所谓优化解就是能随时势需要而变化的解。说话主体将话语里作为基因成分的交际意图同具体环境相结合,运用遗传算法里的模态进行表达,听话人则遵循基因算法的程序进行推导。该研究范式同生物的繁衍和遗传相联系,会话含义的基因算法也就演绎着含义表达的生成与繁衍。Implicature is a classic topic in pragmatics. Since Grice put forward conversational implicature about half a century ago, the Western research on how implicature is inferred has been adhering to the paradigm of principle. However, because the development of times and technology and changes in people’s lives have brought about changes in language expressions, some implicatures may not necessarily be generated by principle-based inferential mechanism. By borrowing the computational model of biological evolution process from genetic algorithms, this study attempts to make a turn from principle-based to genetic algorithm-based to obtain an optimal solution which can change with the needs of the situation for implicature inference. The speaker combines the communicative intention as the gene component with the specific situation, and uses the modalities in the genetic algorithm to produce the utterance. The hearer follows the genetic algorithm procedure to infer implicature. This study shows that genetic algorithm of conversational implicature can deduce the generation and reproduction of the syntagma of implicature expression as such a paradigm is connected with the reproduction and inheritance of organisms.

关 键 词：含义 含义表达结构体 基因算法 优化解 

分 类 号：H030[语言文字—语言学]