Recorded survey and personal interviews were conducted, more than 50 participants — including scholars. 24 participants were recorded: 100% found NAWA unique, 75% were able to predict letter-meaning by themselves through word meanings proving NAWA is universal, and 40% saw high value in the product/app that targets:

Arabic semantics, Quranic interpretation, Visual communication.

Additionally, a self-study covering more than 3,500 roots, hundreds of words, and all Quranic words roots was carried out with positive results.

The Algorithm was constructed by studying the meaning perception in the mind of Arabic Language Speakers through the letter-meaning hypothesis, this took place away from using any external source (such as dictionaries).

All trilateral roots of Arabic Language (22,000) were generated automatically, then cleaned by removing unknown/wrong roots. Each root was analyzed individually. After three years of matching and comparing meanings a strong relationship between letters and meanings was discovered, this relation can be described as the General Law for Meanings, this can be applied on Arabic Roots and other semitics languages, and with limitations on Latin.