1 code implementation • ICON 2021 • Sai Muralidhar Jayanthi, Varsha Embar, Karthik Raghunathan
The wide applicability of pretrained transformer models (PTMs) for natural language tasks is well demonstrated, but their ability to comprehend short phrases of text is less explored.
1 code implementation • ACL (SIGMORPHON) 2021 • Sai Muralidhar Jayanthi, Adithya Pratapa
In this work, we analyze the robustness of neural machine translation systems towards grammatical perturbations in the source.
no code implementations • EMNLP 2020 • Adithya Pratapa, Sai Muralidhar Jayanthi, Kavya Nerella
Fact-verification systems are well explored in the NLP literature with growing attention owing to shared tasks like FEVER.
no code implementations • 14 Nov 2023 • Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 15 Dec 2021 • Sai Muralidhar Jayanthi, Varsha Embar, Karthik Raghunathan
The wide applicability of pretrained transformer models (PTMs) for natural language tasks is well demonstrated, but their ability to comprehend short phrases of text is less explored.
1 code implementation • NAACL (CALCS) 2021 • Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W Black
The NLP community has witnessed steep progress in a variety of tasks across the realms of monolingual and multilingual language processing recently.
1 code implementation • EACL (DravidianLangTech) 2021 • Sai Muralidhar Jayanthi, Akshat Gupta
In this paper we present our submission for the EACL 2021-Shared Task on Offensive Language Identification in Dravidian languages.
1 code implementation • EMNLP 2020 • Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig
We introduce NeuSpell, an open-source toolkit for spelling correction in English.