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Axiomatic Ontology Learning Approaches for English Translation of the Meaning of Quranic Texts

机译:Quranic文本含义英语翻译的公理本体学习方法

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Ontology learning (OL) is the computational task of generating a knowledge base in the form of an ontology, given an unstructured corpus in natural language (NL). While most works in the field of ontology learning have been primarily based on a statistical approach to extract lightweight OL, very few attempts have been made to extract axiomatic OL (called heavyweight OL) from NL text documents. Axiomatic OL supports more precise formal logic-based reasoning when compared to lightweight OL. Lexico-syntactic pattern matching and statisticsal one cannot lead to very accurate learning, mostly because of several linguistic nuances in the NL. Axiomatic OL is an alternative methodology that has not been explored much, where a deep linguistics analysis in computational linguistics is used to generate formal axioms and definitions instead of simply inducing a taxonomy. The ontology that is created not only stores the information about the application domain in explicit knowledge, but also can deduce the implicit knowledge from this ontology. This research will explore the English translation of the meaning of Quranic texts.
机译:本体学习(OL)是给定自然语言(NL)中的非结构化语料库的本体论的形式生成知识库的计算任务。虽然本体学习领域的大多数作品主要基于提取轻质OL的统计方法,但已经从NL文本文档中提取了公理OL(称为重量级OL)的很少的尝试。与轻量级OL相比,公理OL支持更精确的正式逻辑的推理。词典句法模式匹配和统计数据不能导致非常准确的学习,主要是因为NL中的几个语言细微差别。公理OL是一种替代方法,尚未探讨,计算语言学中的深层语言学分析用于产生正式的公理和定义,而不是简单地诱导分类法。创建的本体不仅在显式知识中存储有关应用程序域的信息,而且还可以从该本体论推导出隐含的知识。这项研究将探讨古兰经文本含义的英文翻译。

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