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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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Contribution of Artificial Intelligence on Arabic Language and Literature A study

Authors: Dr. Sofiur, Rahman;

Contribution of Artificial Intelligence on Arabic Language and Literature A study

Abstract

Arabic literature, one of the richest traditions in world culture, has historically thrived on oral poetry, classical texts, and later modern prose and novels. With the rise of Artificial Intelligence (AI), new dimensions are being added to how Arabic literary works are created, preserved, analyzed, and disseminated. AI is not only aiding in the study of historical manuscripts but also inspiring creative writing and digital humanism in the Arab world. The language is a phonologically rich language, with sounds and emphatic letters that non-native speakers often find difficult to pronounce. AI-based speech recognition systems analyze a learner’s speech, compare it with native pronunciation, and provide real-time feedback. Tools such as Google Speech to Text and AI-powered voice assistants help learners practice correct articulation of Arabic letters and words.AI-powered NLP (Natural Language Processing) systems break down Arabic sentences, identify grammatical structures, and explain rules interactively. Intelligent-grammar checkers and writing assistants guide learners in constructing accurate sentences and mastering syntactic rules. Furthermore Arabic has many dialects. AI is being trained to translate works not only in Modern Standard Arabic (MSA) but also in Egyptian, Levantine, Maghrebi, and Gulf dialects, making literature more inclusive.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green