According to this Yahoo article, a group of Israeli scholars has developed an “authorship attribution” computer program that has divided the Pentateuch into two authors, aligning around 90% of the time with the traditional academic divisions (that identify a priestly and non-priestly source). The results were presented at a recent Association for Computational Linguistics conference in Portland, Oregon. The control for the program was to jumble up Ezekiel and Jeremiah and see how well the program could pull them apart. The program, according to the researchers, divided the books “almost perfectly.” A couple other interesting results from the experiments:
– Genesis 1 is non-priestly
– Isaiah is divided into two authors responsible for Isa 1–32 and 33–66, respectively
In related news, I was speaking today with Kent Clarke about the beta release of BibleWorks 9 (he is in charge of the BibleWorks Manuscript Transcription Project) and he mentioned the software is making it possible to instantly compare all similarities and differences between manuscripts. They’ve only been able to run a limited number of full New Testament manuscripts so far, but he mentions that the main manuscript traditions are clearly aligned (Alexandrian, Byzantine, Western, Caesarean [a minor group only attested for Mark?]), as well as subgroups that have been suggested by scholars in the past. His project
seeks to provide over the next four years scholarly-produced transcriptions of approximately two hundred New Testament papyri, uncial, and minuscule manuscripts. These new transcriptions, which will be based upon high quality digital images of the actual manuscripts or their facsimiles, will serve as the foundation for the development of a New Testament Textual Criticism software application. This project will (1) develop a module that incorporates new technology and processes that more accurately and effectively allow for manuscript transcription and collation; (2) provide extremely accurate representations of the manuscripts being transcribed; (3) make the raw transcription data availablewithout charge for personal or academic use; (4) effectively enable program users to immediately compare, contrast, and fully collate any desired selection—either partial or full text—of these manuscripts; (5) allow for a broad range of detailed statistical queries relating but not limited to such issues as textual affiliation and congruity of the New Testament manuscript tradition; (6) link directly to the manuscript transcriptions their corresponding high resolution digital images where publication permissions have been granted; (7) be “open-ended” in that ongoing transcription and imaging work, as well as the recording of relevant extra-textual features such as sociological and codicological details, can be seamlessly incorporated into the software; and (8) serve as the groundwork for published volumes containing full transcriptions of each manuscript, as well as complete collations for each book of the New Testament.