Artificial Intelligence in Arabic-English Translation: Comparative Linguistic and Stylistic Analysis for Selected Qur’anic Verses

Abstract

Artificial intelligence (AI), in recent years, has become a very real tool that can aid society in addressing many issues, including the challenges faced in the translation. In recent years, Arabic-English or English-Arabic translations have been generally influenced by the technologically driven approaches, like Google translation machine, in handling meaning between the two languages during the translation. The ubiquity of computing has become apparent and has demonstrated that the Arabic-English or English-Arabic translations can be achieved using AI-driven tools. Data collection of the current study included translating some texts in the Holy Quran from Arabic into English to show how translation by AI differs from human translation in many aspects. By analysing these data, this study discusses adopting AI in Arabic-English Translation based on the subfields of AI; machine learning and natural language processing (NLP). The findings reveal that AI subfields can be developed further in Arabic-English Translation, especially machine learning and Natural Language Processing (NLP). ©THISISANOPENACCESSARTICLEUNDERTHECCBY LICENSE.http://creativecommons.org/licenses/by/4.0/ AI projects on Arabic-English translations need adequate funding to establish sound connection between AI and Arabic translations into other languages or vice versa. Absence of the funding would limit AI’s potential and its applicability to all forms of Arabic-English i.e., literary and techno-scientific text. The research concludes by providing examples of how these subfields are being developed in Arabic-English translations for future research.