Recent Publications (2017 – 2022)
Thesis
- Audichya, M. K., “A Computational Linguistic Approach for Metadata Generation for Hindi Poetry“, http://hdl. handle. net/10603/444862. Gujarat Technological University, 2021. DOI
Data Sets
- Audichya M. K., & Saini J. R. Hindi Verse Dataset. https://data.mendeley.com/datasets/cp6htsbbpp/1. Published online 2022. DOI
- Audichya M. K., & Saini J. R. Additional Hindi Words for IndoWordNet. https://data.mendeley.com/datasets/db8sh8js67/1. Published online 2022. DOI
- Audichya M. K., Saini J. R. & Modh J. C., Additional Gujarati Words for IndoWordNet. https://data.mendeley.com/datasets/3jtm7htsyt/1. Published online 2022. DOI
Research Papers
- Audichya, M. K. Saini, J. R. & Modh, J.C., “Towards a Richer IndoWordNet with New Additions for Hindi and Gujarati Languages” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. DOI
- Audichya, M. K., & Saini, J. R. (2021). Towards Natural Language Processing with Figures of Speech in Hindi Poetry. International Journal of Advanced Computer Science and Applications, 12(3), 128–133. DOI
- Audichya, M. K., & Saini, J. R. (2021). Stanza Type Identification using Systematization of Versification System of Hindi Poetry. International Journal of Advanced Computer Science and Applications, 12(1). DOI
- Audichya, M. K., & Saini, J. R. (2019). Computational linguistic prosody rule-based unified technique for automatic metadata generation for Hindi poetry. 2019 1st International Conference on Advances in Information Technology (ICAIT), 436–442. DOI
- Audichya, M. K., & Saini, J. R. (2019). An Overview of Optical Character Recognition for Gujarati Typed and Handwritten Characters. The Journey of Indian Languages: Perspectives on Culture and Society, 144–151. DOI
- Audichya, M. K., & Saini, J. R. (2017). A Study to Recognize Printed Gujarati Characters Using Tesseract OCR. International Journal for Research in Applied Science and Engineering Technology, V(IX), 1505–1510. DOI
