A fresh and original translation from Sanskrit of the dashrajnya hymn (hymn 7.18 of Rig Veda) describing this defining battle between Aryan king Sudas and his Aryan as well as non-Aryan foes. The decisive battle led to the uprooting of... more
A fresh and original translation from Sanskrit of the dashrajnya hymn (hymn 7.18 of Rig Veda) describing this defining battle between Aryan king Sudas and his Aryan as well as non-Aryan foes. The decisive battle led to the uprooting of many tribes from the Sapta Sindhu area.
Many existing beliefs are shown to be merely due to misunderstandings. Further, it is shown that the existing translations fall well short of the true meaning.
For example, no Matsya tribe was involved in this battle.
Original publication is here: https://indianmedicine.nl/article/view/37385 This article presents a detailed introduction to the study of three Nepalese manuscripts of the Suśrutasaṃhitā, one of which happens to be the oldest verifiably... more
This article presents a detailed introduction to the study of three Nepalese manuscripts of the Suśrutasaṃhitā, one of which happens to be the oldest verifiably dated Sanskrit manuscript preserved in the region. The article consists of three larger sections. The first part provides a thorough critical survey of research that has been done on this material to date. The second section provides a detailed description of the manuscripts, translates and discusses their colophons and deals extensively with various problems involved in their dating. The final section of the article looks at characteristic features of the Nepalese version of the Suśrutasaṃhitā by focusing on its structure, selected structural elements and selected elements of content.
The codex has become ubiquitous in the modern world as a common way of presenting the materiality of texts. Much of the scholarship on the History of the Book has taken this endpoint for granted even when discussing pre-modern writing and... more
The codex has become ubiquitous in the modern world as a common way of presenting the materiality of texts. Much of the scholarship on the History of the Book has taken this endpoint for granted even when discussing pre-modern writing and manuscript cultures. In this essay, I would like to open the discussion to other possibilities. I will draw on my research on medieval South Asian religions and from my hands-on work with manuscripts in two collections: the Rāmamālā Library in Bangladesh and the Indic collection at the University of Pennsylvania. Drawing examples from these two collections as well as noting broader patterns within them, this essay reflects on what South Asian manuscript traditions can contribute to our understanding of the materiality of texts. First, I consider how different articulations of orality, memory, ritual, and aesthetics in Hinduism, Buddhism, and Jainism helped to shape the development and formation of manuscript traditions in South Asia with dynamics that might differ from medieval manuscript traditions shaped by Christianity in the West. Then, I turn to specific insights into the materiality of South Asian manuscripts in relation to the task of cataloguing, preserving, and digitizing materials in the Rāmamālā library.
Automatic pattern detection has become increasingly important for scholars in the humanities as the number of manuscripts that have been digitised has grown. Most of the state-of-the-art methods used for pattern detection depend on the... more
Automatic pattern detection has become increasingly important for scholars in the humanities as the number of manuscripts that have been digitised has grown. Most of the state-of-the-art methods used for pattern detection depend on the availability of a large number of training samples, which are typically not available in the humanities as they involve tedious manual annotation by researchers (e.g. marking the location and size of words, drawings, seals and so on). This makes the applicability of such methods very limited within the field of manuscript research. We propose a learning-free approach based on a state-of-the-art Naïve Bayes Nearest-Neighbour classifier for the task of pattern detection in manuscript images. The method has already been successfully applied to an actual research question from South Asian studies about palm-leaf manuscripts. Furthermore, state-of-the-art results have been achieved on two extremely challenging datasets, namely the AMADI_LontarSet dataset of handwriting on palm leaves for word-spotting and the DocExplore dataset of medieval manuscripts for pattern detection. A performance analysis is provided as well in order to facilitate later comparisons by other researchers. Finally, an easy-to-use implementation of the proposed method is developed as a software tool and made freely available.
This article presents a detailed introduction to the study of three Nepalese manuscripts of the Suśrutasaṃhitā, one of which happens to be the oldest verifiably dated Sanskrit manuscript preserved in the region. The article consists of... more
This article presents a detailed introduction to the study of three Nepalese manuscripts of the Suśrutasaṃhitā, one of which happens to be the oldest verifiably dated Sanskrit manuscript preserved in the region. The article consists of three larger sections. The first part provides a thorough critical survey of research that has been done on this material to date. The second section provides a detailed description of the manuscripts, translates and discusses their colophons and deals extensively with various problems involved in their dating. The final section of the article looks at characteristic features of the Nepalese version of the Suśrutasaṃhitā by focusing on its structure, selected structural elements and selected elements of content.
Automatic pattern detection has become increasingly important for scholars in the humanities as the number of manuscripts that have been digitised has grown. Most of the state-of-the-art methods used for pattern detection depend on the... more
Automatic pattern detection has become increasingly important for scholars in the humanities as the number of manuscripts that have been digitised has grown. Most of the state-of-the-art methods used for pattern detection depend on the availability of a large number of training samples, which are typically not available in the humanities as they involve tedious manual annotation by researchers (e.g. marking the location and size of words, drawings, seals and so on). This makes the applicability of such methods very limited within the field of manuscript research. We propose a learning-free approach based on a state-of-the-art Naïve Bayes Nearest-Neighbour classifier for the task of pattern detection in manuscript images. The method has already been successfully applied to an actual research question from South Asian studies about palm-leaf manuscripts. Furthermore, state-of-the-art results have been achieved on two extremely challenging datasets, namely the AMADI_LontarSet dataset o...
