The Sanskrit Sembank

Abstract This paper introduces the Sanskrit Sembank ( ssb ), a comprehensive lexical semantic resource integrated within the Digital Corpus of Sanskrit. The ssb combines lexicographic data from Sanskrit dictionaries with synsets derived from the Princeton WordNet, and offers lexical semantic annotations of more than 600,000 words in context across both Vedic and Classical Sanskrit texts. We discuss the methodological challenges in adapting WordNet’s conceptual framework to the vocabulary of Sanskrit, particularly in religious and scientific domains. We further present evaluation results from word sense disambiguation experiments, achieving F1 scores of up to 86.7% without using an LLM. The paper also examines the complementary relationship between the ssb and the Sanskrit WordNet project, highlighting their distinct and complementary approaches to lexical semantic annotation.

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Publication Details

Journal
Language Resources and Evaluation
Published
2025-07-16
DOI
https://doi.org/10.1007/s10579-025-09852-1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

The Sanskrit Sembank

Oliver Hellwig, Erica Biagetti
Language Resources and Evaluation
Natural Language Processing Techniques
article

The Sanskrit Sembank

Oliver Hellwig, Erica Biagetti
article en

Abstract

Abstract This paper introduces the Sanskrit Sembank ( ssb ), a comprehensive lexical semantic resource integrated within the Digital Corpus of Sanskrit. The ssb combines lexicographic data from Sanskrit dictionaries with synsets derived from the Princeton WordNet, and offers lexical semantic annotations of more than 600,000 words in context across both Vedic and Classical Sanskrit texts. We discuss the methodological challenges in adapting WordNet’s conceptual framework to the vocabulary of Sanskrit, particularly in religious and scientific domains. We further present evaluation results from word sense disambiguation experiments, achieving F1 scores of up to 86.7% without using an LLM. The paper also examines the complementary relationship between the ssb and the Sanskrit WordNet project, highlighting their distinct and complementary approaches to lexical semantic annotation.

Language Resources and EvaluationVol. 59(4)
University of Zurich (CH), University of Pavia (IT)
European Commission, Università degli Studi di Pavia, Universität Zürich
Openalex Percentile: Top 91%
Natural Language Processing Techniques
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The Sanskrit Sembank — Oliver Hellwig, Erica Biagetti · Language Resources and Evaluation (2025) | TGRS Research Map | TGRS