Machine Translation has evolved tremendously in the recent time and stood as center of research interest for many computer scientists. Developing a Machine Translation system for ancient languages is much more fascinating and challenging task. A detailed study of Sanskrit language reveals that its well-structured and finely organized grammar has affinity for automated translation systems. This ...

A widely-known painting currently in the Wellcome Library (Iconographic 574912i) depicts an anatomical view of the male human body according to the tenets of classical Indian medicine, or ayurveda. The painting is surrounded by text passages in the Sanskrit language on medical and anatomical topics. In this paper, the Sanskrit texts are identified, edited, translated and assessed. I establish a...

The translation divergence is a challenging problem in the area of machine translation. A detailed study of divergence issues in machine translation is required for their proper classification and detection. The language divergences between English and Sanskrit can be considered as representing the divergences between SVO (Subject Verb Object) and SOV (Subject Object Verb) classes of languages....

We propose a methodology for Sanskrit processing by computer. The first layer of this software, which analyses the linear structure of a Sanskrit sentence as a set of possible interpretations under sandhi analysis, is operational. Each interpretation proposes a segmentation of the sentence as a list of tagged segments. The method, which is lexicon directed, is complete if the given (stem forms)...

starting with the origin of the sanskrit language formulated borrowing from the local dravidian and mundalanguages, the indo-iranian connections are explored in the context of myths and legends. the connectionbetween the rigveda text and the indus culture is described, making use of the indus seals. the non-vedictraditions in the rv text are traced to present day folk performances. some rigvedi...

In the Information era, optimization of processes for Information Retrieval, Text Summarization, Text and Data Analytic systems becomes utmost important. Therefore in order to achieve accuracy, extraction of redundant words with low or no semantic meaning must be filtered out. Such words are known as stopwords. Stopwords list has been developed for languages like English, Chinese, Arabic, Hindi...

This paper explores Pān. inian Grammar (PG) as an information processing device in terms of ‘how’, ‘how much’ and ‘where’ languages encode information. PG is based on a morphologically rich language, Sanskrit. We apply PG on English and see how the Pān. inian perspective would deal with it from the information theoretical point of view and its effectiveness in machine translation. We analyze En...

The similarity between the semantic network method of knowledge representation in artificial intelligence and shastric Sanskrit was recently pointed out by Briggs. As a step towards further research in this field, we give here an overview of semantic networks and natural-language understanding based on semantic networks. It is shown that linguistic case frames are necessary for semantic network...

Gujarati is one of the 22 official languages of India. It is an Indo-Aryan language descended from Sanskrit. Gujarati wordnet is being built using expansion approach with Hindi as the source language. This paper describes experiences of building Gujarati wordnet. Paper discusses basic features of Gujarati language and evaluates suitability of Hindi language for expansion approach. Various issue...