NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet. - Shubhanker Banerjee; Arun Jayapal; Sajeetha Thavareesan (FIRE (Working Notes), 2020)

Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text. - Bharathi Raja Chakravarthi; Ruba Priyadharshini; Sajeetha Thavareesan; Dhivya Chinnappa; Durairaj Thenmozhi; Elizabeth Sherly; John P. McCrae; Adeep Hande; Rahul Ponnusamy; Shubhanker Banerjee; Charangan Vasantharajan (FIRE (Working Notes), 2021)

MG2P: An Empirical Study Of Multilingual Training for Manx G2P. - Shubhanker Banerjee; Bharathi Raja Chakravarthi; John P. McCrae (LDK, 2023)

Detecting abusive comments at a fine-grained level in a low-resource language. - Bharathi Raja Chakravarthi; Ruba Priyadharshini; Shubhanker Banerjee; Manoj Balaji Jagadeeshan; Prasanna Kumar Kumaresan; Rahul Ponnusamy; Sean Benhur; John Philip McCrae (Nat. Lang. Process. J., 2023)

Large Language Models for Few-Shot Automatic Term Extraction. - Shubhanker Banerjee; Bharathi Raja Chakravarthi; John Philip McCrae (NLDB (1), 2024)

English-to-Low-Resource Translation: A Multimodal Approach for Hindi, Malayalam, Bengali, and Hausa. - Ali Hatami; Shubhanker Banerjee; Mihael Arcan; Bharathi Raja Chakravarthi; Paul Buitelaar; John P. McCrae (WMT, 2024)