Arabic Ontology: Linguistic Engineering Foundations

Abstract

This scientific intervention aims to raise the issue of the automatic processing of natural languages. Especially at its levels related to ontological studies, enabling the machine to recognize information and invest it accurately, beyond the constraints of semantic ambiguity is considered a scientific challenge. This would not be possible without relying on the contextual detection process of linguistic engineering, which is based on a hybrid approach that combines both statistical and linguistic methods. It is an approach that falls within the context of platform linguistics, or what is termed "fourth-generation linguistics", a natural outgrowth of the digital revolution, based on its horizontal extension in various domains and fields of knowledge, thus establishing a new indicative model in which platforms with linguistic and computer interact. In this context, the associative aspects within the compositional linguistic perceptions are a focal point in operating research operations that fall within the automatic processing of natural language, given the nature of its theoretical and methodological architecture with an empirical inductive basis. It also enables the building of computer platforms by preparing morphological, synthetic, semantic, and pragmatic analyzers. Investing in the advanced technological tools provided by the artificial intelligence system; especially in its aspects related to machine learning, deep learning, and neural network; will enable the provision of a linguistic platform capable of developing paths of teaching the Arabic language to non-native speakers.