Glosses and examples are the essential components of the computational lexical databases like, Wordnet. These two components of the lexical database can be used in building domain ontologies, semantic relations, phrase structure rules etc., and can help automatic or manual word sense disambiguation tasks. The present paper aims to highlight the importance of gloss in the process of WSD based on the experiences from building Sanskrit Wordnet. This paper presents a survey of Sanskrit Synonymy lexica, use of Navya-Nydya terminology in developing a gloss and the kind of patterns evolved that are useful for the computational purpose of WSD with special reference to Sanskrit
In this paper, we report our methods and re-sults of using, for the first time, semi-auto-matic appr...
The paper proposes to adopt a constructionist approach to the study of formulaicity in the Rigveda ...
One of the important features of Sanskrit language is the long tradition of lexicons. The early sour...
Sanskrit language is the base for most of the Indian languages. It has link with foreign languages t...
Words in any language are related to various other words in it. Some rela-tions are lexical while so...
This paper shows how WordNets can be employed in tandem with morpho-syntactically annotated corpora ...
This paper auras to present a way of storing Sanskrit Verbal roots in a proposed Sanskrit WordNet. T...
In this paper we present our efforts the first time of its kind in the history of Sanskrit to design...
Abstract- Natural Language Processing in Indian context is based on conceptual analysis. The origin ...
Sanskrit is one of the most ancient attested Indo-European languages, and it has one of the oldest l...
The present paper aims to categorize different types of synonymous words and also to high-light thei...
This paper presents the preliminary analysis of Kannada WordNet and the set of relevant computationa...
Lexical datasets containing annotated concordances of words pertaining to the conceptual domains of ...
This paper presents the work in progress toward the creation of a family of WordNets for Sanskrit, A...
In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses ...
In this paper, we report our methods and re-sults of using, for the first time, semi-auto-matic appr...
The paper proposes to adopt a constructionist approach to the study of formulaicity in the Rigveda ...
One of the important features of Sanskrit language is the long tradition of lexicons. The early sour...
Sanskrit language is the base for most of the Indian languages. It has link with foreign languages t...
Words in any language are related to various other words in it. Some rela-tions are lexical while so...
This paper shows how WordNets can be employed in tandem with morpho-syntactically annotated corpora ...
This paper auras to present a way of storing Sanskrit Verbal roots in a proposed Sanskrit WordNet. T...
In this paper we present our efforts the first time of its kind in the history of Sanskrit to design...
Abstract- Natural Language Processing in Indian context is based on conceptual analysis. The origin ...
Sanskrit is one of the most ancient attested Indo-European languages, and it has one of the oldest l...
The present paper aims to categorize different types of synonymous words and also to high-light thei...
This paper presents the preliminary analysis of Kannada WordNet and the set of relevant computationa...
Lexical datasets containing annotated concordances of words pertaining to the conceptual domains of ...
This paper presents the work in progress toward the creation of a family of WordNets for Sanskrit, A...
In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses ...
In this paper, we report our methods and re-sults of using, for the first time, semi-auto-matic appr...
The paper proposes to adopt a constructionist approach to the study of formulaicity in the Rigveda ...
One of the important features of Sanskrit language is the long tradition of lexicons. The early sour...