A Mathematical Model of the Cognitive Semantics of the English Preposition ON

Q1 Earth and Planetary Sciences Indonesian Journal of Science and Technology Pub Date : 2020-04-01 DOI:10.17509/IJOST.V5I1.22774
Ruswan Dallyono, D. Sukyadi, Lukmanul Hakim
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引用次数: 4

Abstract

This study aims to present a mathematical linguistic analysis in establishing the relations between TRs, LMs, potential senses, and actual senses by using the case of the preposition on found in academic texts under the framework of Trajector (TR) and Landmark (LM) configurations. Data were corpora taken from 10 bachelor’s theses written by Indonesian students. To sort the data, Ant Conc 3.4.1.0 was used to parse clauses or sentences based on the TR-LM configurations. Based on the TR-LM configurations, a mathematical model was developed to discover how these variables are quantitatively related to the number of potential senses produced by using a geometric representation of TR and LM. This study indicates that the relation between TRs and LMs, on the one hand, and the sum of potential senses, on the other, follows the integral function of , which means that the total number of potential senses of Ps equals the integral of TR with respect to LM. Meanwhile, the total number of actual senses, ∑As can be obtained by the integral function of , which equals TR.LM + C where C is -Ls representing the constant of the number of lost senses. This mathematical modeling confirms that TR-LM configurations may be used to generate senses which prove the polysemous nature of prepositions.
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英语介词ON认知语义的数学模型
本研究以学术语篇中发现的介词on为例,在Trajector (TR)和Landmark (LM)结构框架下,对TR、LM、潜在意义和实际意义之间的关系进行数学语言学分析。数据取自印尼学生10篇学士论文的语料库。为了对数据进行排序,使用Ant Conc 3.4.1.0对基于TR-LM配置的子句或句子进行解析。基于TR-LM配置,开发了一个数学模型,以发现这些变量与使用TR和LM的几何表示产生的潜在感官数量之间的定量关系。本研究表明,TRs和LM与潜在感官之和的关系遵循的是的积分函数,即p的潜在感官总数等于TR对LM的积分。同时,实际感官总数∑As可由的积分函数得到,等于TR.LM + C,其中C为-Ls,表示失去感官数量的常数。这个数学模型证实了TR-LM结构可以用来产生证明介词多义性质的感官。
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来源期刊
Indonesian Journal of Science and Technology
Indonesian Journal of Science and Technology Engineering-Engineering (all)
CiteScore
11.20
自引率
0.00%
发文量
10
审稿时长
16 weeks
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