Primary focus of my research is to make NLP tools that are capable of performing in a multi-lingual settings, making it possible for people to interact with technology in their vernacular language, and not restrict users to a certain language. An important piece of this puzzle is to be able to understand code-mixed text, which is very prevalent in multilingual socities such as India. My PhD is an attempt to make tools to enhance generation and understanding capabilities for code-mixed text, specifically for code-mixing of Indian languages. Previously I have worked at Chennai Metro Rail Limited, Chennai as part of Telecom and Automatic Fare Colleciton Team for 6 years. In addition to my Bachelors of Technology Degree from St. Martin's Engineering College in Electronics and Communications, I have completed Post Graduate Diploma in Metro Rail Technology and Management from IIT Madras.

Publications

• Findings of ACL'22 SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing, Prashant Kodali, Anmol Goel, Monojit Choudhury, Manish Shrivastava, and Ponnurangam Kumaraguru, Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022,, pages 472–480, Dublin, Ireland. Association for Computational Linguistics.
• LREC'22 HashSet - A Dataset For Hashtag Segmentation, Prashant Kodali}, Akshala Bhatnagar, Naman Ahuja, Manish Shrivastava, and Ponnurangam Kumaraguru, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022),, pages 7215–7219, Marseille, 20-25 June 2022.
• CALCS CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences, Devansh Gautam, Prashant Kodali, Kshitij Gupta, Anmol Goel, Manish Shrivastava, and Ponnurangam Kumaraguru, Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching,, pages 47–55, Online. Association for Computational Linguistics.
• GenChal PrecogIIITH At Hinglisheval : Leveraging Code-Mixing Metrics \& Language Model Embeddings To Estimate Code-Mix Quality,, Prashant Kodali, Tanmay Sachan, Akshay Goindani, Anmol Goel, Naman Ahuja, Manish Shrivastava, and Ponnurangam Kumaraguru, Proceedings of the GenChal, INLG2022.
• FIRE2021 Battling Hateful Content in Indic Languages HASOC ’21,, Aditya Kadam, Anmol Goel, Jivitesh Jain, Jushaan Singh Kalra, Mallika Subramanian, Manvith Reddy, Prashant Kodali, T.H. Arjun, Manish Shrivastava,Ponnurangam Kumaragurua, in Forum for Information Retrieval Evaluation (Working Notes) (FIRE). CEUR-WS.org.

Research Service More »

Reviewer

• ReviewerNAACL 2022 Student Research Workshop
• ReviewerEMNLP 2022 Conference - Multilinguality Track
• ReviewerCODS-COMAD 2023 - Applied Data Science Track