Indian languages have long history in World Natural languages. Panini was the first to define Grammar for Sanskrit language with about 4000 rules in fifth century. These rules contain uncertainty information. It is not possible to Computer processing of Sanskrit language with uncertain information. In this paper, fuzzy logic and fuzzy reasoning are proposed to deal to eliminate uncertain inform...

The development of Machine Translation (MT) system for ancient language like Sanskrit is a fascinating and challenging task. In this paper, the authors handle the infinitive type of English sentences in the English to Sanskrit machine translation (EST) system. The EST system is an integrated model of a rule-based approach of machine translation with Artificial Neural Network (ANN) model that tr...

In this paper represents the work toward developing a dependency parser for Sanskrit language and also represents the efforts in developing a NLU(Natural Language Understanding) and NLP(Natural Language Processing) systems. Here, we use ashtadhayayi (a book of Sanskrit grammar) to implement this idea. We use this concept because the Sanskrit is an unambiguous language. In this paper, we are pre...

The development of Machine Translation system for ancient language such as Sanskrit language is much more fascinating and challenging task. Due to lack of linguistic community, there are no wide work accomplish in Sanskrit translation while it is mother language by virtue of its importance in cultural heritage of India. In this paper, we integrate a traditional rule based approach of machine tr...

The paper presents a method for WordNet supersense tagging of Sanskrit, an ancient Indian language with a corpus grown over four millenia. The proposed method merges lexical information from Sanskrit texts with lexicographic definitions from Sanskrit-English dictionaries, and compares the performance of two machine learning methods for this task. Evaluation concentrates on Vedic, the oldest lay...

––It is almost impossible to learn a new language without the study of it’s grammar .Automated language processing is in real centrally focused to drive to enable facilitated referencing of increasingly available Sanskrit E-texts. For learning Sanskrit language , the study of it’s grammar plays a very important role .Proposed research paper presents a fresh and new approach to processing Sandhi...

The development of such system that automatically recognizes the input speech and translates in another language like Sanskrit is a challenging task. Sanskrit language is much more conjured language. The purpose of this paper is to explain a system which convert the English Speech into English text and then translate that English text into Sanskrit text and again convert that into speech. This ...

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 with the help of language English-Sanskrit language pair using rule based machine translation technique [1]. Rule Based Machin...