TaxiNLI: Taking a Ride up the NLU Hill

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.

Natural Language Inference

Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers

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.

The State and Fate of Linguistic Diversity and Inclusion in the NLP World

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.

Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities

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.

CoSSAT: Code-Switched Speech Annotation Tool

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.

Natural Language Processing