Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Under Construction
Published:
I am planning on writing this blog post, but it is not ready yet. Please check back later!
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Revisiting the Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems
Published in 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
This study tries to fill the gap by using various machine-learning techniques to reduce the amount of human intervention to rectify such stereotypes.
Recommended citation: Aditya Narayan Sankaran, Vigneshwaran Shankaran, Sampath Lonka, and Rajesh Sharma. 2024. Revisiting the Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14092–14102, Torino, Italia. ELRA and ICCL.
Download Paper | Download Slides | Download Bibtex
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
Published in Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), 2025
This paper presents a novel approach to cross-lingual audio abuse detection in low-resource settings using few-shot learning techniques.
Recommended citation: Aditya Narayan Sankaran, Reza Farahbakhsh, and Noel Crespi. 2025. Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning. In Proceedings of the 31st International Conference on Computational Linguistics, pages 5558–5569, Abu Dhabi, UAE. Association for Computational Linguistics.
Download Paper | Download Slides
Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts
Published in Anthology of Computers and the Humanities, 2025
This paper is a primary investigation into the linguistic strategies employed in K-pop songs that achieve global chart success, with a focus on the role of code-switching and English lyric usage.
Recommended citation: Aditya Narayan Sankaran, Reza Farahbakhsh, and Noel Crespi. 2025. Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts. In Proceedings of the Anthology of Computers and the Humanities.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.