Genre and literary structure
Computational clustering and similarity analysis examine how linguistic patterns relate to partial, overlapping, and contested scholarly classifications of the Psalms.
Computational Hebrew Bible Research
בינה מלאכותית לחקר ספר תהילים
Computational approaches to the Psalter
TehillimAI is an independent research initiative applying artificial intelligence, computational linguistics, and digital philology to the Hebrew Psalter. The project investigates Hebrew poetry, genre, manuscript traditions, textual transmission, and Bible translation.
About
An open scholarly research platform
TehillimAI extends close reading, philology, and textual criticism through reproducible computational methods. It treats computational models as instruments for investigating the literary, linguistic, and textual complexity of the Psalms rather than as replacements for human interpretation.
A central concern is how digital representations preserve—or flatten—the ambiguity, wordplay, parallelism, syntax, discourse structure, and textual plurality that make Hebrew poetry so rich.
Research areas
Questions under investigation
Hebrew poetry and ambiguity
The project studies parallelism, formulaic language, lexical ambiguity, wordplay, poetic syntax, and the capacity of computational models to preserve multiple plausible readings.
Manuscripts and textual traditions
Comparative analysis of the Masoretic Psalter, the Great Psalms Scroll, other Dead Sea Scroll manuscripts, the Septuagint, and the Peshitta investigates ordering, editorial logic, variation, and transmission.
AI-assisted Bible translation
Translation research evaluates how computational systems can support translators while preserving discourse, ambiguity, poetic form, and the interpretive possibilities of the source text.
Method
Representation before prediction
TehillimAI compares lexical, morphological, syntactic, discourse-based, graph-based, and neural representations of Biblical Hebrew. The aim is not merely to identify the highest-performing model, but to explain what each representation makes visible about the Psalter.
Research workflow
Open and reproducible scholarship
- 01
Corpus and data model
A modular data model represents Psalms, textual witnesses, linguistic annotations, ordering, and manuscript metadata.
- 02
Exploratory analysis
Clustering, similarity analysis, sequence comparison, and poetic feature analysis investigate literary and manuscript relationships.
- 03
Philological evaluation
Computational results are interpreted against Hebrew poetics, textual criticism, translation studies, and the history of Psalms scholarship.
- 04
Open scholarship
Code, datasets, notebooks, visualizations, preprints, and peer-reviewed research make the work transparent and reusable.
Scholarship
Research profile and publications
The project brings together research in Hebrew Bible, the Septuagint, Dead Sea Scrolls, translation studies, computational linguistics, information retrieval, and artificial intelligence. Publications, datasets, software, teaching, and previous research are documented here as the site expands.
Research record: Publications · Previous projects · Curriculum vitae · Research notes · Software
Contact
Research and collaboration
TehillimAI develops open computational resources and publishes research on the Hebrew Psalter. Contact information and repository links provide access to current work and collaboration.