Chiron is a framework for the analysis of metrics and prose rhythm, and observation of linguistic and metrical phenomena, with an extensive linguistics basis. You can read more about it in these papers:
- 2021 D. Fusi, Introducing Chiron, a Full-Stack Framework for Metrical Analysis: Part 1 - Data Collection, «RCCM» 63, 1 (2021) 53-85.
- 2021 D. Fusi, Introducing Chiron, a Full-Stack Framework for Metrical Analysis: Part 2 - Data Interpretation, «RCCM» 63, 2 (2021) 407-431.
As a framework, it’s not limited to a single language or metre; currently, I’ve implemented support for ancient Greek, Latin, Italian, and Modern Greek.
Also, you can find some real-world analysis samples and an overview of further Chiron extensions to prose rhythm in D. Fusi, I due volti di Giano - Saggio di filologia classica e tardoantica allo specchio delle Digital Humanities, Parma 2022 (ISBN 978-88-32158-49-6).
The latest version of this framework is illustrated by the following videos. In this version, infrastructure has been completely decoupled from the analysis logic, and the engine has been expanded to accommodate for prose, and further redesigned to ease ML-based analysis and NLP integration, at both analysis ends (the system can take advantage of NLP tools, and vice-versa).
If you want to get a more comprehensive insight of the system, it is recommended that you follow the order of the videos as listed here or in the corresponding YouTube playlist.
1 - Inline Analysis
A short demonstration about inline analysis of multiple languages poetic or prosastic texts by the Chiron rhythm analysis framework. Inline analysis allows to immediately analyze a text and looking at the details of its result, without storing them.
2 - Storage
Overview about the Chiron storage model, used to create large databases including a corpus of texts with all their phonological and rhythmic details.
3 - Phenomena Observations
Using the Chiron rhythmic analysis framework to navigate across phenomena observations, built on top of systematically collected data about a text's phonology, syntax and rhythm.
4 - Reflecting on Data
An overview about reflecting on massive analysis data via phenomena observations, using interactive views and third-party data science tools.
5 - Clustering Verse Shapes
A short demonstration about leveraging data science tools to look at data generated by software metrical analysis of a sample Greek epic corpus by Chiron.