The GNORM tool involved the development of a neural network capable of translating the text of the Babylonian Talmud from Aramaic to English. This translation is designed to train an algorithm created specifically for this tool. It aims to find and order the sources within the Babylonian Talmud. This paper aims to highlight the unique nature of the translation developed for GNORM.