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golden arabic corpus build for test Assem's arabicstemmer and other arabic stemmers

Home Page: http://arabicstemmer.com/

License: BSD 2-Clause "Simplified" License

Makefile 15.20% Python 84.80%

arabic stemmer corpus corpurate corpus-data corpus-generator

golden-corpus-arabic's Introduction

Ibnmalik Arabic Natural Language Processing toolkit

Ibnmalik is a Pythonic library offers Arabic NLP functionalities such as (tokenizers, POS taggers, stopwords filter, stemmers/lemmatizers, etc. ).

Installing

    $ pip install ibnmalik

Documentation

For more details see Ibnmalik docs.

How to contribute

Do you want to contribute with Ibnmalik development? Great! Please read more details at CONTRIBUTING.

Acknowledgments

Thanks to Pyarabic library and Alfanous project for the support.
Thanks to NLTK and CLTK NLP libraries for informing library's structure.

Copyright

For license information, see LICENSE.

AUTHORS have a list of everyone contributed to Ibnmalk

golden-corpus-arabic's People

Contributors

Stargazers

Watchers

Forkers

hichamsalu teacod greenat92 assem-ch phillette

golden-corpus-arabic's Issues

Improve strange Arabic words

complete the list and try to classify it like this example
ألفاظ وكلمات دخيلة على اللغة العربية من لغات مختلفة

About Stems

من خلال عملي هذه الايام على التجذيع الخفيف، لاحظت أن مجذّع كرة الثلج يعطي نتائج جيدة جدا على المدونة الذهبية، لكنه يعجز مع مدونات أخرى،
وبعد مراجعة المدونة تبين لي:

تنميط الأصول (تنميط الهمزات والألفات) هل هذا خيار أم خطأ؟
بعض الأصول غير مناسب، مثلا يطلبون => يطلب والصحيح أن تعطي طلب
الأصول الخاطئة تتطابق مع نتائج المجذع، وهذا يدل على أنه تم بناء المدونة باستخدام المجذع نفسه، وهذا يتطلب مراجعة يدوية، لتجنب هذه النتائج.
أحصيت 84 خطأ، مما يقلل النتائج ب7.39%
المدونة فيها كثير من الأصول المتشابهة، مما يقلل من شمولها.

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