Incorporating Localised Context in Wordnet for Indic Languages

Soumya Mohapatra, Shikhar Agnihotri, Apar Garg, Praveen Shah, Shampa Chakraverty


Abstract
Due to rapid urbanization and a homogenized medium of instruction imposed in educational institutions, we have lost much of the golden literary offerings of the diverse languages and dialects that India once possessed. There is an urgent need to mitigate the paucity of online linguistic resources for several Hindi dialects. Given the corpus of a dialect, our system integrates the vocabulary of the dialect to the synsets of IndoWordnet along with their corresponding meta-data. Furthermore, we propose a systematic method for generating exemplary sentences for each newly integrated dialect word. The vocabulary thus integrated follows the schema of the wordnet and generates exemplary sentences to illustrate the meaning and usage of the word. We illustrate our methodology with the integration of words in the Awadhi dialect to the Hindi IndoWordnet to achieve an enrichment of 11.68 % to the existing Hindi synsets. The BLEU metric for evaluating the quality of sentences yielded a 75th percentile score of 0.6351.
Anthology ID:
2020.mmw-1.2
Volume:
Proceedings of the LREC 2020 Workshop on Multimodal Wordnets (MMW2020)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | MMW | WS
SIG:
Publisher:
The European Language Resources Association (ELRA)
Note:
Pages:
7–13
Language:
English
URL:
https://www.aclweb.org/anthology/2020.mmw-1.2
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.mmw-1.2.pdf