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AI · August 2, 2018

I trained a neural network to learn Arabic morphology

Arabic root finder with neural nets! Contribute to tb0yd/rootfinder development by creating an account on GitHub.

I trained a neural network to learn Arabic morphology launched on August 2, 2018 with 183 votes, #113 of 2,619 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 8 years on.

Visit github.com ↗Alternativestop 4% of August 2018

In plain words

This project is a neural network trained to understand Arabic morphology, the system of word formation and structure in the Arabic language. It is designed for researchers, linguists, and developers working with Arabic natural language processing. The model learns patterns in how Arabic words are constructed, making it useful for tasks like stemming, lemmatization, and morphological analysis. The project is open source and available on GitHub.

written from the facts on this page · September 2026

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