10. The method of claim 7 , further comprising: (1) identifying Arabic sentences within the collected dataset; (2) initiating a dataset to include all elements in the collected dataset; (3) deriving a histogram of character shapes from the dataset based on probabilities computed from the identified Arabic sentences; and (4) repeating the process until all elements in the dataset are derived into the historgram.
7. A method for analyzing and reproducing text data, comprising: partitioning, with circuitry, according to a 4-shapes model, a collected dataset of an Arabic alphabet including sentences associated with the Arabic alphabet and Arabic typography, the 4-shapes model including a legative partition including isolated bigram representation and classified words that contain ligature representations of the collected dataset, an unlegative partition including single character shape representation of the collected data set, an isolated characters partition, and a passages and repeated phrases partition; identifying legative bigrams of character shapes within the partitioned dataset; generating, with the circuitry, a pangram based on the partitions of the 4-shapes model, the pangram including the occurrence of every character shape in the collected dataset and further including a lipogram condition set based on a desired digital output of the collected dataset, the lipogram condition omitting legative bigrams of predetermined Arabic character shapes; and outputting, with the circuitry, a digital representation of the pangram as synthesized text.