guide to sanskrit

Sanskrit Segmentation

EtranS-English to Sanskrit Machine Translation

Machine Translation has been a topic of research from the past many years. Many methods and techniques have been proposed and developed. However, quality of translation has always been a matter of concern. In this paper, we outline a target language generation mechanism in English-Sanskrit Machine Translation using rule based machine translation technique. The methodology for design and develop...

Contribution of Andhra to ayurveda in Sanskrit.

In the field of medicine, Andhras contributed both in Sanskrit and Telugu. The region of Andhra evolved a special type of approach to the science of life combining the traditions and practices of North and South. From the early centuries of the Christian era, rasavada or the science of medicine with special stress on mercurial preparations became popular in the South. while classical method of ...

The Death of Sanskrit*

In the age of Hindu identity politics (Hindutva) inaugurated in the 1990s by the ascendancy of the Indian People’s Party (Bharatiya Janata Party) and its ideological auxiliary, the World Hindu Council (Vishwa Hindu Parishad), Indian cultural and religious nationalism has been promulgating ever more distorted images of India’s past. Few things are as central to this revisionism as Sanskrit, the ...

Universal Dependencies for Sanskrit

We present the first steps towards a treebank of Sanskrit within the Universal Dependencies framework. Our dataset is tiny at the moment, consisting of less than 200 sentences—a result of a summer internship project. Nevertheless, this seems to be, to the best of our knowledge, the first publicly available piece of syntactically annotated Sanskrit text. We also present a parsing experiment, wit...

Anaphors in Sanskrit

Research in building robulst NLP systems with ambiguity resolution techniques has gained momentum in recent years. In particular, the anaphora resolution initiatives have reached unpreceented heights in last 10 years or so. Mitkov et. al (2001) have reported both rule based knowledge based approaches and machine learning based ‘knowledge poor’ approaches in an ACL issue devoted to this subject....