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Constructive scheme of academic texts: Algorithm to discover the main object, its characteristics and functions

机译:学术论文建设方案:发现主要对象,特征和功能的算法

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This article describes the algorithm that shows the structure of texts, scientific or academic articles, from the theme, characteristics and actions. The first step of the algorithm is to identify all subheadings or large groups found, such as introduction, methodology, result, discussions, conclusion. With the groups identified, the next step is to find all the grammatical periods, which will be analyzed so that groups capable of describing actions and formulas can be located and assembled. Since the text, in the semantic sense, is a seam or an interlacing of words that forms a sense of information that does not obey a rule, a sequence or an algorithm of thought, it becomes necessary to standardize the description of the characteristics of the theme. In this process step, with the rules standardized and reorganized according to the algorithm, any article will be treated as if it were a computational structure, since this is one of the means to know what actions or functions the article describes, and that will be rewritten in the schema: object, property, modules and functions.
机译:本文介绍了一种算法,该算法从主题,特征和动作方面显示了文本,科学或学术文章的结构。该算法的第一步是识别找到的所有子标题或大类,例如简介,方法,结果,讨论,结论。在确定了分组之后,下一步就是找到所有的语法时段,然后对其进行分析,以便能够定位和组合能够描述动作和公式的分组。由于文本在语义上是接缝或单词的交织,形成不遵守规则,序列或思想算法的信息感觉,因此有必要使对特性的描述标准化主题。在此过程步骤中,根据算法对规则进行了标准化和重组,因此,任何文章都将被视为计算结构,因为这是了解文章所描述的动作或功能的手段之一,而这将是在架构中重写:对象,属性,模块和函数。

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