Abstract
This study analyzes the verses of the Rigveda, the oldest Sanskrit text, from a metrical perspective. Based on metrical structures, the verses are represented by four elements: light syllables, heavy syllables, word boundaries, and line boundaries. As a result, it became evident that among verses traditionally categorized under the same metrical name, there are those forming distinct clusters. Furthermore, the study reveals commonalities in metrical structures, such as similar metrical patterns grouping together despite differences in the number of lines. Going forward, it is anticipated that this methodology will enable comparisons across multiple languages within the Indo-European language family.- Anthology ID:
- 2024.ml4al-1.22
- Volume:
- Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
- Month:
- August
- Year:
- 2024
- Address:
- Hybrid in Bangkok, Thailand and online
- Editors:
- John Pavlopoulos, Thea Sommerschield, Yannis Assael, Shai Gordin, Kyunghyun Cho, Marco Passarotti, Rachele Sprugnoli, Yudong Liu, Bin Li, Adam Anderson
- Venues:
- ML4AL | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 219–223
- Language:
- URL:
- https://aclanthology.org/2024.ml4al-1.22
- DOI:
- Cite (ACL):
- Yuzuki Tsukagoshi and Ikki Ohmukai. 2024. The Metronome Approach to Sanskrit Meter: Analysis for the Rigveda. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024), pages 219–223, Hybrid in Bangkok, Thailand and online. Association for Computational Linguistics.
- Cite (Informal):
- The Metronome Approach to Sanskrit Meter: Analysis for the Rigveda (Tsukagoshi & Ohmukai, ML4AL-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.ml4al-1.22.pdf