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Stylometric model for detecting oath expressions: A case study for Quranic texts

机译：检测誓言表达的风格模型：以古兰经文本为例

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摘要

The Quranic oath is God's emphasizing the importance or truthfulness of a concept. Oaths are multifaceted, rich expressions, in which a single oath contains a line of meaning and a variety of aspects. This study proposes a new stylometric model for detecting apparent and narrative oaths. Toward this end, two types of application-specific features from a stylometric perspective-structural and content-specific features-were examined. The stylometric features were extracted, and a Bayesian network was constructed to model such features. The stylometric model of oaths was then evaluated through a series of machine-learning experiments using various classifiers: the Bayesian network, a decision tree, instance-based learning, and a neural network. These classification experiments focused on applying stylometric features in apparent and narrative oaths. The experiments covered two datasets: the entire Quran and the smaller dataset of Juz' 'Amma. The results led to two main conclusions. First, stylometric application-specific features are best used in their entirety-both structural-based and content-specific-rather than as two separate entities. Second, applying stylometric features was more significant in Juz' 'Amma, in which 40% of its surahs (chapters) contain oath statements. Finally, the stylometric model was extended for oath styles detection using three additional stylometric features-syntactic, character, and lexical, and it was analyzed using statistical approach.
机译：古兰经宣誓是上帝在强调一个概念的重要性或真实性。誓言是多方面的，丰富的表达方式，其中一个誓言包含一行意思和各个方面。这项研究提出了一种新的风格模型，用于检测表观和叙述性的誓言。为此，从样式学的角度检查了两种类型的应用程序特定功能-结构和内容特定功能。提取了笔势特征，并构建了贝叶斯网络来对这些特征进行建模。然后，通过一系列使用各种分类器的机器学习实验，对誓言的风格模型进行评估：贝叶斯网络，决策树，基于实例的学习和神经网络。这些分类实验的重点是在表观和叙述性宣誓中应用文体特征。实验涵盖了两个数据集：整个古兰经和Juz''Amma的较小数据集。结果得出两个主要结论。首先，特定于样式应用程序的功能最好同时使用在基于结构的内容和特定于内容的所有功能中，而不是作为两个单独的实体使用。其次，在Juz'Amma中应用样式特征更为重要，其中40％的古拉（章节）都包含誓言。最后，使用三个附加的笔势特征（句法，字符和词法）扩展了笔势模型以进行宣誓方式检测，并使用统计方法对其进行了分析。

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  • 来源
    《Literary & linguistic computing》 |2016年第1期|1-20|共20页
  • 作者

    Alqurneh Ahmad; Mustapha Aida; Murad Masrah Azrifah Azmi; Sharef Nurfadhlina Mohd;

  • 作者单位

    Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Upm Serdang 43400, Selangor, Malaysia;

    Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Upm Serdang 43400, Selangor, Malaysia;

    Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Upm Serdang 43400, Selangor, Malaysia;

    Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Upm Serdang 43400, Selangor, Malaysia;

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