Shanmugapriya T
ABSTRACT
The research aims to recalibrate digital humanities methods and tools for effectively analyzing uncertain and complex colonial historical data to extract fuzzy toponyms. Additionally, I investigate how advanced digital techniques can contribute to the development of a novel framework rooted in historicaldata from the global South. To address these inquiries, I employ a case study approach, with a particular focus on the British South India corpus, utilizing advanced programming techniques BERT NER and DeezyMatch. The primary goal of this research is to create a historical gazetteer that will be incorporated with the World Historical Gazetteer.
- About, Introducing the World Historical Gazetteer, World Historical Gazetteer. https://whgazetteer.org/about/Google Scholar
- Ehrlich, Joshua (2018). The East India Company and the Politics of Knowledge, Dissertation, Harvard University. http://nrs.harvard.edu/urn-3:HUL.InstRepos:39947190.Google Scholar
- Corpus (2021). 'Digital Innovation in Water Scarcity in Coimbatore, India', Lancaster University. https://www.lancaster.ac.uk/fass/digital-india/Google Scholar
- Devlin, Jacob and Chang, Ming -Wei and Lee, Kenton and Toutanova, Kristina (2018). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding." CoRR, http://arxiv.org/abs/1810.04805.Google Scholar
- Hosseini, Kasra, Federico Nanni, and Mariona Coll Ardanuy (2020). DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics, pages 62--69.Google ScholarCross Ref
Index Terms
- From Uncertainty to Action: Recalibrating Digital and Spatial Humanities Methods and Tools for Non-standard Historical Data from Global South
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