1 code implementation • CONLL 2020 • Pratik Joshi, Somak Aditya, Aalok Sathe, Monojit Choudhury
Pre-trained Transformer-based neural architectures have consistently achieved state-of-the-art performance in the Natural Language Inference (NLI) task.
no code implementations • LREC 2020 • Basil Abraham, Danish Goel, Divya Siddarth, Kalika Bali, Manu Chopra, Monojit Choudhury, Pratik Joshi, Preethi Jyoti, Sunayana Sitaram, Vivek Seshadri
Unfortunately, collecting labelled speech data in any language is an expensive and resource-intensive task.
no code implementations • ACL 2020 • Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali, Monojit Choudhury
Language technologies contribute to promoting multilingualism and linguistic diversity around the world.
no code implementations • ICON 2019 • Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
In this paper, we examine and analyze the challenges associated with developing and introducing language technologies to low-resource language communities.
no code implementations • WS 2019 • Sanket Shah, Pratik Joshi, Sebastin Santy, Sunayana Sitaram
Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world.