By Juan Uriagereka
Chapter 1 of this captivating work delves into the technical depths of modern linguistics, particularly focusing on the application of matrices and algorithms to syntactic theories. Drawing inspiration from influential figures such as Noam Chomsky, the author explores how language can be modeled using mathematical and Markovian systems, linking biolinguistics concepts with emerging theories in neurophysiology and artificial intelligence. This first chapter lays the theoretical groundwork for a more technical exploration, addressing core concepts that will shape the understanding of complex language structures.