arXiv:2605.22310v1 Announce Type: new Abstract: We present a substantially implemented model of description of the inflectional morphology of Arabic nouns, with special attention to the management of dictionaries and other language resources by Arabic-speaking linguists. The breakthrough lies in the reversal of the traditional root-and-pattern Semitic model into pattern-and-root, giving precedence to patterns over roots. Our model includes broken plurals (BPs), i.e. plurals formed by modifying the stem. It is based on the traditional notions of root and pattern of Semitic morphology. However,
This research provides a new computational linguistic model for a complex aspect of Arabic morphology, reflecting ongoing advancements in AI's ability to process and understand diverse languages.
Improved models for complex linguistic features like Arabic broken plurals are crucial for the development of more accurate and robust AI models, particularly in natural language processing and machine translation for less-resourced languages.
The proposed 'pattern-and-root' reversal offers a potentially more efficient and accurate method for computational analysis of Arabic morphology, influencing future NLP tool development.
- · Computational linguists
- · AI developers focused on Arabic NLP
- · Machine translation services
- · Traditional rule-based linguistic models
More accurate translation and generative AI outputs for Arabic will become possible.
This could facilitate broader access to information and accelerate AI adoption in Arabic-speaking regions.
Improved cross-lingual AI could subtly influence global cultural and economic exchanges by reducing language barriers.
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