The Hebrew Bible is a composite text written by many authors and compiled over hundreds of years. With much of the academic analysis of the Bible dedicated towards discerning nested authorship, scholars closely examine word choice and style to infer distinct components. Despite centuries of advancement in understanding authorial layers within the Bible, attribution for many verses is still heavily debated. The principal aim of our research project is to develop a set of machine learning algorithms to contribute to the analysis of biblical authorship. We wish to provide empirical means to assign contested verses to one authorial group or another. Towards this end, we will develop — and publish online — a general sentence-level authorship attribution tool to assist literary researchers understand the text in greater depth.

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