Indian Language Wordnets and their Linkages with Princeton WordNet
Diptesh Kanojia, Kevin Patel, Pushpak Bhattacharyya

TL;DR
This paper presents linked wordnets for 18 Indian languages with Princeton WordNet, aiming to enhance NLP resources and facilitate knowledge sharing among languages, which is crucial for improving NLP applications for these languages.
Contribution
The creation and release of linked Indian language wordnets with Princeton WordNet, providing valuable resources for NLP research and development in these languages.
Findings
18 Indian language wordnets linked with Princeton WordNet
Resources will aid NLP applications for Indian languages
Facilitates knowledge sharing among language communities
Abstract
Wordnets are rich lexico-semantic resources. Linked wordnets are extensions of wordnets, which link similar concepts in wordnets of different languages. Such resources are extremely useful in many Natural Language Processing (NLP) applications, primarily those based on knowledge-based approaches. In such approaches, these resources are considered as gold standard/oracle. Thus, it is crucial that these resources hold correct information. Thereby, they are created by human experts. However, human experts in multiple languages are hard to come by. Thus, the community would benefit from sharing of such manually created resources. In this paper, we release mappings of 18 Indian language wordnets linked with Princeton WordNet. We believe that availability of such resources will have a direct impact on the progress in NLP for these languages.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Translation Studies and Practices
