Algorithmic Rules for Semantic Disambiguation in Arabic: A Computational Linguistic Study

Abstract

Human intelligence has evolved, and humans have exploited it to create artificial intelligence. Artificial intelligence is the ability of a machine to produce certain words, or the ability of a robot (or "robot")—as some linguists call it—to correct written texts. This research aims to develop Arabic algorithmic rules to remove semantic ambiguity from texts or sentences to be translated by computer. To this end, the researcher adopted a descriptive and analytical approach to tag words and generate a number of computer tags to clarify and reveal the correct meaning, avoiding the overlap of words and the difficulty of interpreting them. Therefore, the researcher recommends exploring the topic of computer algorithmic rules, as they represent a major shift in the history of the Arabic language in this regard. The study reached a number of conclusions, most notably: theoretical efforts remain the primary reference for computer work; there is difficulty in identifying methods for constructing corpora; and theoretical work exists, but it lacks the ability to translate them automatically.