--- title: "Konkani Wordnet Resources — paper by Redkar et al. (2026)" description: "Still, the design works for any pair of IndoWordNet languages, giving reusable infrastructure for Konkani teaching tools and… 4 references." authors: ["Hanumant H. Redkar", "Mahadev Gawas", "Anjali Desai", "Jyoti Pawar"] year: 2026 venue: "Proceedings of the 8th Workshop on Indian Language Data: Resources and Evaluation" source: "https://aclanthology.org/2026.wildre-1.6/" doi: "10.63317/2sswqmbnfws3" licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)" licence_url: "https://creativecommons.org/licenses/by-nc/4.0/" summary_licence: "Elamur Cosmic License" canonical: "https://research.elamur.ai/free/en/papers/redkar-2026-konkani-wordnet-resources/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/redkar-2026-konkani-wordnet-resources/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2026](https://md.research.elamur.ai/free/en/papers/2026/page/38/) / Konkani Wordnet Resources # Konkani Wordnet Resources **Authors:** Hanumant H. Redkar, Mahadev Gawas, Anjali Desai and [Jyoti Pawar](https://md.research.elamur.ai/free/en/authors/jyoti-pawar/) · **Year:** 2026 · **Venue:** [Proceedings of the 8th Workshop on Indian Language Data: Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/wildre/) ([Workshop on Indian Language Data: Resources and Evaluation 2026](https://md.research.elamur.ai/free/en/venues/wildre/2026/)) · **Publisher:** [European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/) · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/) **Links:** [Publisher's page](https://aclanthology.org/2026.wildre-1.6/) · [PDF](https://aclanthology.org/2026.wildre-1.6.pdf) · [DOI 10.63317/2sswqmbnfws3](https://doi.org/10.63317/2sswqmbnfws3) · [OpenAlex](https://openalex.org/W7166564808) **Citations:** 0 citations (OpenAlex, 2026-10-14) ## Summary Konkani, an Indo-Aryan language of India's western coast, has few standardized computational resources. Strong dialect variation and the use of several scripts make the problem harder. The authors turn the Konkani Wordnet, built within the IndoWordNet framework, into a single cleaned dataset for direct use in NLP work. They pulled data from scattered lexical files, normalized it and reconciled inconsistent identifiers. They also checked that synsets, words, glosses and examples stay semantically coherent. The final resource has 32,370 synsets, each with a gloss, plus pronunciations, semantic relations and slightly more example sentences than synsets. To show a practical use, they built an API-based backend that generates Hindi–Konkani match-the-pairs vocabulary exercises. Both wordnets share synset identifiers, so Hindi and Konkani words attached to the same concept can be paired without a translation dictionary. The paper reports no learner evaluation. Still, the design works for any pair of IndoWordNet languages, giving reusable infrastructure for Konkani teaching tools and lexical research. ## Key points - Once consolidated, the Konkani Wordnet holds 37,719 distinct lexical entries spread across 32,370 synsets, which come with 32,370 glosses as well as 33,318 example sentences. - The derived metrics show 100% gloss coverage, 102.9% example coverage and a lexical density of 1.17. Words per synset average about 1.72, from 55,530 word–synset links; the text also states 1.73. - Bilingual pairing runs over two IndoWordNet-schema databases, `wordnet_hindi` and `wordnet_konkani`, using the tables `wn_word` and `wn_synset_words`. For each shared synset, the number of possible pairs is |H_s × K_s|. - The exercise generator is a modular, UI-independent API. Swapping in other wordnet databases (e.g., Hindi–Marathi, Konkani–Marathi) adapts it to new language pairs with minimal changes. - Planned extensions include difficulty levels based on frequency or POS, using glosses and examples in exercises, and multi-way alignment across three or more languages. *Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.* ## Institutions - [Goa University](https://md.research.elamur.ai/free/en/universities/goa-university/) — University, Taleigao, India · 3 works · 4 citations 📚 Shelves (4): [🖥️ Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) · 18,614 works · [🤖 Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · 17,965 works · [🎭 Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · 17,450 works · [🗣️ Language and Linguistics](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · 17,296 works ## Cite Cite as: Hanumant H. Redkar, Mahadev Gawas, Anjali Desai and Jyoti Pawar. 2026. Konkani Wordnet Resources. Proceedings of the 8th Workshop on Indian Language Data: Resources and Evaluation. The paper itself, not this page. BibTeX from the library's record of the work. ```bibtex @inproceedings{redkar2026konkani, title = {{Konkani Wordnet Resources}}, author = {Hanumant H. Redkar, Mahadev Gawas, Anjali Desai and Jyoti Pawar}, booktitle = {Proceedings of the 8th Workshop on Indian Language Data: Resources and Evaluation}, year = {2026}, doi = {10.63317/2sswqmbnfws3}, url = {https://doi.org/10.63317/2sswqmbnfws3} } ``` - [← previous Konkani Daan: A Community-Driven Culturally Grounded Speech Corpus for Low-Resource ASR](https://md.research.elamur.ai/free/en/papers/shivolkar-2026-konkani-daan-community-driven-culturally/) - [next → KvochurHegel at AbjadMed: Combining LDAM Loss and Adversarial Training for Arabic Medical Question-Answer Classification](https://md.research.elamur.ai/free/en/papers/le-2026-kvochurhegel-abjadmed-combining-ldam-loss/) - [↑ back to papers of 2026](https://md.research.elamur.ai/free/en/papers/2026/page/38/) ## References 4 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. Pushpak Bhattacharyya. 2010. IndoWordNet. In Proceedings of the Language Resources and Evaluation Conference (LREC), Malta. [find](https://scholar.google.com/scholar?q=Pushpak+Bhattacharyya%2E+2010%2E+IndoWordNet%2E+In+Proceedings+of+the+Language+Resources+and+Evaluation+Conference+%28LREC%29%2C+Malta%2E) 2. Niladri Sekhar Dash, Pushpak Bhattacharyya, and Jyoti D. Pawar, editors. 2017. The WordNet in Indian Languages. Springer Singapore. [find](https://scholar.google.com/scholar?q=Niladri+Sekhar+Dash%2C+Pushpak+Bhattacharyya%2C+and+Jyoti+D%2E+Pawar%2C+editors%2E+2017%2E+The+WordNet+in+Indian+Languages%2E+Springer+Singapore%2E) 3. Shilpa N. Desai, Ramdas N. Karmali, Shantaram W. Walawalikar, and Damodar Ghanekar. 2010. Tools for IndoWordNet development. In Proceedings of the International Conference on Natural Language Processing. [find](https://scholar.google.com/scholar?q=Shilpa+N%2E+Desai%2C+Ramdas+N%2E+Karmali%2C+Shantaram+W%2E+Walawalikar%2C+and+Damodar+Ghanekar%2E+2010%2E+Tools+for+IndoWordNet+development%2E+In+Proceedings+of+the+International+Conference+on+Natural+Language+Processi) 4. Shilpa N. Desai, Shantaram W. Walawalikar, Ramdas N. Karmali, and Jyoti D. Pawar. 2016. Insights on the Konkani WordNet development process. In The WordNet in Indian Languages, pages 101–117. Springer Singapore. \#\# Limitations Christiane Fellbaum, editor. 1998. WordNet: An Electronic Lexical Databas… [find](https://scholar.google.com/scholar?q=Shilpa+N%2E+Desai%2C+Shantaram+W%2E+Walawalikar%2C+Ramdas+N%2E+Karmali%2C+and+Jyoti+D%2E+Pawar%2E+2016%2E+Insights+on+the+Konkani+WordNet+development+process%2E+In+The+WordNet+in+Indian+Languages%2C+pages+101%E2%80%93117%2E+Springer) *Updated 1 November 2026*