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most citedSamanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

52 citations · 109 across the 6 of their papers we have counts for

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cs.CL2023

Single Sequence Prediction over Reasoning Graphs for Multi-hop QA

Gowtham Ramesh, Makesh Sreedhar, Junjie Hu

Recent generative approaches for multi-hop question answering (QA) utilize the fusion-in-decoder method~\cite{izacard-grave-2021-leveraging} to generate a single sequence output wh…

cs.CL2022★ 11 cited

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh +4

Building Natural Language Understanding (NLU) capabilities for Indic languages, which have a collective speaker base of more than one billion speakers is absolutely crucial. In thi…

cs.CL2021

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…

cs.CL2021★ 44 cited

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.…

cs.CL2021★ 52 cited

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…