Agent-Assisted Computational Analysis of Lexical and Morphological Patterns in the Greek New Testament

The lexical and morphological structure of the Greek New Testament is intensively studied in biblical scholarship, yet the underlying analyses are rarely reproducible: tokenisation, lemmatisation and frequency counts are usually performed by hand or with closed tools. This project builds na open, agent-assisted pipeline that ingests public-domain Greek New Testament texts, normalises and tokenises them, reuses existing morphological annotations, and computes reproducible lexical statistics across books and genres. The pipeline runs inside Google Antigravity, where an AI agente executes preprocessing, analysis and reporting from versioned configuration files. The expected outputs are na open-source pipeline, a citable dataset of lexical statistics, and a short preprint documenting the method and its limitations.