14 citations · 21 across the 6 of their papers we have counts for
9 papers
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi
Devansh Mehta, Harshita Diddee, Ananya Saxena +8
The primary obstacle to developing technologies for low-resource languages is the lack of representative, usable data. In this paper, we report the deployment of technology-driven…
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models
Harshita Diddee, Sandipan Dandapat, Monojit Choudhury +2
Leveraging shared learning through Massively Multilingual Models, state-of-the-art machine translation models are often able to adapt to the paucity of data for low-resource langua…
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
Ishani Mondal, Kabir Ahuja, Mohit Jain +3
The COVID-19 pandemic has brought out both the best and worst of language technology (LT). On one hand, conversational agents for information dissemination and basic diagnosis have…
Predicting the Performance of Multilingual NLP Models
Anirudh Srinivasan, Sunayana Sitaram, Tanuja Ganu +3
Recent advancements in NLP have given us models like mBERT and XLMR that can serve over 100 languages. The languages that these models are evaluated on, however, are very few in nu…
Designing Language Technologies for Social Good: The Road not Taken
Namrata Mukhija, Monojit Choudhury, Kalika Bali
Development of speech and language technology for social good (LT4SG), especially those targeted at the welfare of marginalized communities and speakers of low-resource and under-s…
Multilingual and code-switching ASR challenges for low resource Indian languages
Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah +19
Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking adva…