Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

Overview

Yarub_library

#The Problem

اللغة العربية تعد من اكثر اللغات انتشارا و استخداما و تتميز لغة الضاد بثراء رصيدها من الكلمات والصيغ ، وهي لغة متميزة من الناحية الصوتية ، فقد اشتملت على جميع الأصوات التي اشتملت عليها اللغات السامية الأخرى . كما تتميز بالمرونة حيث تستوعب جميع الألفاظ المشتقة والمترادفة وتضع لكل مقام مقال لها

ادركنا اهمية اللغة العربية و مكانتها بين شعوب الشرق الاوسط و العالم, و نسعى فى ادراج اللغة العربية ضمن اللغات التى يتيسر استخدامها فى تطبيقات الذكاء الاصطناعى و معالجة اللغات الطبيعية للبشر

In this Omdena project, our goal was to develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications like Morphological analysis, Named Entity Recognition, Sentiment Analysis, Word Embedding, Dialect Identification, Part of speech, and so on the training dataset. This article contains interesting code and could be beneficial for whatever your level of experience, but for beginners, it is a great start-up in data collection using web scraping with referral links to official documentation pages for every mentioned library.

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