@inproceedings{r-gawde-etal-2024-konkani,
title = "{K}onkani {W}ordnet Visualizer as a Concept Teaching-Learning Tool",
author = "R. Gawde, Sunayana and
Gawas, Jayram Ulhas and
R. Parab, Shrikrishna and
Desai, Shilpa Neenad and
Pawar, Jyoti",
editor = "Lalitha Devi, Sobha and
Arora, Karunesh",
booktitle = "Proceedings of the 21st International Conference on Natural Language Processing (ICON)",
month = dec,
year = "2024",
address = "AU-KBC Research Centre, Chennai, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2024.icon-1.7/",
pages = "59--67",
abstract = "The Visualizer is a tree-structure designed to browse and explore the Konkani WordNet lexical database. We propose to utilise this tool as a concept teaching and learning resource for Konkani, to be used by both teachers and students. It can also be used to add the missing semantic and lexical relations, thus enhancing the wordnet. It extracts related concepts for a given word and displays them as a sub-tree. The interface includes various features to offer users greater flexibility in navigating and understanding the word relationships. We attempted to enrich the Konkani Wordnet qualitatively with a Visualizer that offers an improved usability and is incorporated in the Konkani Wordnet website for the public use. The Visualizer is designed to provide graphical representations of words and their semantic relationships, making it easier to explore connections and meanings within the lexical database."
}
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<abstract>The Visualizer is a tree-structure designed to browse and explore the Konkani WordNet lexical database. We propose to utilise this tool as a concept teaching and learning resource for Konkani, to be used by both teachers and students. It can also be used to add the missing semantic and lexical relations, thus enhancing the wordnet. It extracts related concepts for a given word and displays them as a sub-tree. The interface includes various features to offer users greater flexibility in navigating and understanding the word relationships. We attempted to enrich the Konkani Wordnet qualitatively with a Visualizer that offers an improved usability and is incorporated in the Konkani Wordnet website for the public use. The Visualizer is designed to provide graphical representations of words and their semantic relationships, making it easier to explore connections and meanings within the lexical database.</abstract>
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<url>https://aclanthology.org/2024.icon-1.7/</url>
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%0 Conference Proceedings
%T Konkani Wordnet Visualizer as a Concept Teaching-Learning Tool
%A R. Gawde, Sunayana
%A Gawas, Jayram Ulhas
%A R. Parab, Shrikrishna
%A Desai, Shilpa Neenad
%A Pawar, Jyoti
%Y Lalitha Devi, Sobha
%Y Arora, Karunesh
%S Proceedings of the 21st International Conference on Natural Language Processing (ICON)
%D 2024
%8 December
%I NLP Association of India (NLPAI)
%C AU-KBC Research Centre, Chennai, India
%F r-gawde-etal-2024-konkani
%X The Visualizer is a tree-structure designed to browse and explore the Konkani WordNet lexical database. We propose to utilise this tool as a concept teaching and learning resource for Konkani, to be used by both teachers and students. It can also be used to add the missing semantic and lexical relations, thus enhancing the wordnet. It extracts related concepts for a given word and displays them as a sub-tree. The interface includes various features to offer users greater flexibility in navigating and understanding the word relationships. We attempted to enrich the Konkani Wordnet qualitatively with a Visualizer that offers an improved usability and is incorporated in the Konkani Wordnet website for the public use. The Visualizer is designed to provide graphical representations of words and their semantic relationships, making it easier to explore connections and meanings within the lexical database.
%U https://aclanthology.org/2024.icon-1.7/
%P 59-67
Markdown (Informal)
[Konkani Wordnet Visualizer as a Concept Teaching-Learning Tool](https://aclanthology.org/2024.icon-1.7/) (R. Gawde et al., ICON 2024)
ACL
- Sunayana R. Gawde, Jayram Ulhas Gawas, Shrikrishna R. Parab, Shilpa Neenad Desai, and Jyoti Pawar. 2024. Konkani Wordnet Visualizer as a Concept Teaching-Learning Tool. In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pages 59–67, AU-KBC Research Centre, Chennai, India. NLP Association of India (NLPAI).