The paper presents strategies for evaluating the influence of Pān. ini’s As.t.ādhyāyı̄ on the vocabulary of Sanskrit. Using a corpus linguistic approach, it examines how the Pān. inian sample words are distributed over post-Pān. inian Sanskrit, and if we can determine any lexicographic influence of the As.t.ādhyāyı̄ on later Sanskrit. The primary focus of the paper lies on data exploration, becau...

In this paper we present our efforts the first time of its kind in the history of Sanskrit to design and develop a structured electronic lexical Resource by tagging a Traditional Sanskrit dictionary. We narrate how the whole unstructured raw text of Vaacaspatyam – an encyclopedic type of Sanskrit Dictionary has been tagged to form a user friendly e-lexicon with structured and segregated informa...

The paper describes a new tagset for the morphological disambiguation of Sanskrit, and compares the accuracy of two machine learning methods (CRF, deep recurrent neural networks) for this task, with a special focus on how to model the lexicographic information. It reports a significant improvement over previously published results. 1 Challenges of Sanskrit Linguistics and Related Research Class...

1 Pān. ini’s grammar Pān. ini’s grammar (ca. 500 B.C.) seeks to provide a complete, maximally concise, and theoretically consistent analysis of Sanskrit grammatical structure. It is the foundation of all traditional and modern analyses of Sanskrit, as well as having great historical and theoretical interest in its own right. Western grammatical theory has been influenced by it at every stage of...

India is a country with 22 officially recognized languages and 17 of these have WordNets, a crucial resource. Web browser based interfaces are available for these WordNets, but are not suited for mobile devices which deters people from effectively using this resource. We present our initial work on developing mobile applications and browser extensions to access WordNets for Indian Languages. Ou...

[Abstract: Ontologies greatly enhance our ability to machine process digital documents and aid in knowledge engineering. They also augment search algorithms. LOGS, Lightweight universal Ontology Generation and exploitation architectureS, and its sample application, the Eagle, took a step toward automatic ontology generation, through a fast, lightweight approach. Sanskritology and Indology are i...

We discuss the mathematical structure of various levels of representation of Sanskrit text in order to guide the design of computer aids aiming at useful processing of the digitalised Sanskrit corpus. Two main levels are identified, respectively called the linear and functional level. The design space of these two levels is sketched, and the computational implications of the main design choices...

In this paper, we propose a novel method for automatic segmentation of a Sanskrit string into different words. The input for our segmentizer is a Sanskrit string either encoded as a Unicode string or as a Roman transliterated string and the output is a set of possible splits with weights associated with each of them. We followed two different approaches to segment a Sanskrit text using sandhi1 ...

Traditionally Sanskrit is written without blank, sentences can make thousands of characters without any separation. A critical edition takes into account all the different known versions of the same text in order to show the differences between any two distinct versions, in term of words missing, changed or omitted. This paper describes the Sanskrit characteristics that make text comparisons di...

The science of versification and analysis of verse in Sanskrit is governed by rules of metre or chandas. Such metre-wise classification of verses has numerous uses for scholars and researchers alike, such as in the study of poets and their style of Sanskrit poetical works. This paper presents a comprehensive computational scheme and set of algorithms to identify the metre of verses given as San...