The Fundamental and Strategic Linguistic Data, the Key for the Reciprocal Complementation of Technology and Artificial Intelligence in Machine Translation

This question about the possibility of inventing a system more capable than humans in performing behaviors has always been on the table, even before the advent of powerful computers and artificial intelligence algorithms.Today, we confide in the fact that the idea of exploiting artificial intelligence, and facilitating its application in multiple areas of science, has been a necessity; however, the implementations of this achievement were not provided by mechanics. This field was not a proper context for creating the reciprocal complementation of linguistics, logic, statistics, and mathematics to revolve around it and could not provide the required agility to employ its achievements in accomplishing Machine Translation. On the other hand, with the advent of a phenomenon known as digital, not only did the procedures of formal logic turn into mathematical logic and that of the mathematics turned into modern mathematics, but also new trends were established in this regard and developed rapidly in linguistic researches properly relevant to digital contexts. After a brief introduction to the topic and its theoretical framework, this paper tries to determine how these achievements have been accomplished and intends to elaborate upon the future prospects with respect to the highlighted methods. While presenting his personal experiences in this area, the author of this paper emphasizes establishing a diverse institutional resource in modern linguistics. In his view, future achievements and accomplishments are due to developing the latest and fundamentally required data in linguistics as an interdisciplinary field of knowledge in order to gain practical achievements.