Abstract:
Arabic is one of the leading Semitic language in the world. The estimated Arabic
speaking population in the world is 420 million. Arabic gives impact on vast amount
of people according to a study the total population of Muslims around the world is 1.8
billion and There are six official languages of United nations (UN) and Arabic is one
of them. It is an official language of six united nation countries. The past few decades
have witnessed an increased interest in Arabic natural language processing, and
computational morphology. It is difficult to read Arabic for the south Asian people
because of lack of knowledge about diacritics (Airaab: zer, zabr, pesh, jazm, tashdeed,
tanveen and hamza) then there are 104 million people in the world who speak Urdu.
The idea is to develop a web-based application to transliterate Arabic in Urdu
with natural language processing. It will assist Urdu users to read Arabic in their native
orthography. The tools would be figma/visio and other if needed for the prototype. The
interface will be design on flask. We will use the Natural language processing
techniques with machine learning algorithms.
(Note: The United Nation statistics from: https://www.un.org/en/sections/about
