There is currently a disagreement in the field of Hebrew Studies on the methods used to date individual books within the Hebrew Bible. An important question in this debate is if linguistic differences between the books are significant enough to warrant a diachronic explanation. In this project, we seek to answer whether differences in syntax between the books are large enough to merit groupings into Standard or Late Biblical Hebrew. We use a statistical tool called Markov Chains, which models transition dependency in sequences. Our method takes into account word and phrase order for parts of speech, phrase functions, and phrase types. We then cluster the books based on their statistical similarities. Our results may corroborate key claims of the diachronic approach