Cleaning text of noise (e.g., repeating characters, non-Arabic script) and normalizing different forms of letters like alif or yaa .
Assigning Parts of Speech (Nouns, Verbs, etc.) to the text.
The foundation of "discomp" content is a diverse corpus. Modern efforts focus on: arabic_discomp4
Breaking down complex words into smaller units (e.g., removing prefixes like "and" or "the").
For developers looking to increase the reach of Arabic digital content, experts suggest: Cleaning text of noise (e
Labeling how sentences connect to one another (e.g., cause-effect, contrast) to help machines understand the flow of an argument.
Using tools like Wordian to ensure Arabic content is discoverable on search engines. Cleaning text of noise (e.g.
Creating content that works seamlessly in both Arabic and English for global markets like the GCC.