The case of Arabic speakers or India working cohesively

Jawad Khan,

As a simple example of what a common speech encoding can do on the Internet, consider “all the Arabic languages”.  Rather than people writing from existing written languages, and some languages not easily translatable – with universal speech sounds encoding, many languages can be encoded as one. A synthetic code can be used, not approximate ones based on meaning. As Sejong learned, it is only necessary to make recorded sounds compact, easy to learn and universally accessible to all. The LLMs can use encoded speech codes for tokens.

https://en.wikipedia.org/wiki/Varieties_of_Arabic

https://en.wikipedia.org/wiki/Arabic#Spoken_varieties

This is a simple, if somewhat large, project; but can be accomplished with tools and groups available today.  The Arab League and others want to improve trade, research, investment. education, sharing of knowledge, inclusion and fairness.

Another simple case is India with 22/23 official languages and hundreds of spoken and written languages.

Mutual intelligibility can start with recorded sound, stable speech encoding. (What is written language but recorded speech sounds).  Early training with AI assistance (cell phone or device apps)  can leave much of the burden of recognizing and creating sounds. An app could take all the local and individual variations and move toward country wide, or language group wide standards and universal communication.

My goals include giving “recorded and readable” speech encoding to all humans, and to simply communication between all humans in all languages, all knowledge on the Internet. It also gives all humans access to the Internet and all knowledge. It can be generalized for blind, paralyzed, deaf, and other cases.