52 citations · 181 across the 16 of their papers we have counts for
4 papers · 1 filter
Towards Building ASR Systems for the Next Billion Users
Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman +5
Recent methods in speech and language technology pretrain very LARGE models which are fine-tuned for specific tasks. However, the benefits of such LARGE models are often limited to…
Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
Debapriya Tula, Shreyas MS, Viswanatha Reddy +5
Over the past decade, we have seen exponential growth in online content fueled by social media platforms. Data generation of this scale comes with the caveat of insurmountable offe…
A Primer on Pretrained Multilingual Language Models
Sumanth Doddapaneni, Gowtham Ramesh, Mitesh M. Khapra +2
Multilingual Language Models (\MLLMs) such as mBERT, XLM, XLM-R, \textit{etc.} have emerged as a viable option for bringing the power of pretraining to a large number of languages.…
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj +15
We present Samanantar, the largest publicly available parallel corpora collection for Indic languages. The collection contains a total of 49.7 million sentence pairs between Englis…