ARBML/tkseem

Arabic Tokenization Library. It provides many tokenization algorithms.

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Emerging

This library helps developers process Arabic text for machine learning tasks by breaking it down into smaller, meaningful units. It takes raw Arabic text as input and outputs processed tokens, which are essential for building natural language processing models. This is for software developers or data scientists working on Arabic language applications.

110 stars. No commits in the last 6 months.

Use this if you are a developer building an NLP application, such as sentiment analysis or machine translation, and need to prepare Arabic text data.

Not ideal if you are a non-technical user looking for a ready-to-use application to analyze Arabic text without writing code.

Arabic NLP Text Preprocessing Machine Learning Development Data Science

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 9 / 25

Maturity 16 / 25

Community 19 / 25

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Stars

110

Forks

Language

Jupyter Notebook

License

MIT

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