Automated Textual Collation of Suttas with CollateX – Chart (discourse.suttacentral.net)

A new ObservableHQ notebook and interactive chartlet (linked at dhammacharts.org) automates textual collation of selected suttas using CollateX to reveal parallels and shared passages. Users paste sutta IDs into the notebook and the visualization is generated in a few seconds, showing aligned segments and connections across texts. The author credits help from Claude.ai and other AIs for rapid development, while noting that wiring the Python API into the workflow was the trickiest engineering step. This project matters because it demonstrates a lightweight, reproducible pipeline that combines automated collation (CollateX), web-first visualization (ObservableHQ), and LLM-assisted development to accelerate digital philology and text-critical work. For the AI/ML community the key implications are practical: collated alignments can seed datasets for sequence-alignment models, variant-detection tools, or downstream tasks like automated paraphrase detection; the approach highlights how LLMs can speed prototyping even when core tooling (APIs, data connectors) requires careful integration. The notebook is a usable template for scholars and developers who want to scale collation/visualization to larger corpora or embed it into research software.