77 citations · 319 across the 61 of their papers we have counts for
5 papers · 1 filter
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
Diptesh Kanojia, Raj Dabre, Shubham Dewangan +3
Cognates are variants of the same lexical form across different languages; for example 'fonema' in Spanish and 'phoneme' in English are cognates, both of which mean 'a unit of soun…
IndicBART: A Pre-trained Model for Indic Natural Language Generation
Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan +3
In this paper, we study pre-trained sequence-to-sequence models for a group of related languages, with a focus on Indic languages. We present IndicBART, a multilingual, sequence-to…
YANMTT: Yet Another Neural Machine Translation Toolkit
Raj Dabre, Eiichiro Sumita
In this paper we present our open-source neural machine translation (NMT) toolkit called "Yet Another Neural Machine Translation Toolkit" abbreviated as YANMTT which is built on to…
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation
Raj Dabre, Atsushi Fujita
In deep neural network modeling, the most common practice is to stack a number of recurrent, convolutional, or feed-forward layers in order to obtain high-quality continuous space…
Simultaneous Multi-Pivot Neural Machine Translation
Raj Dabre, Aizhan Imankulova, Masahiro Kaneko +1
Parallel corpora are indispensable for training neural machine translation (NMT) models, and parallel corpora for most language pairs do not exist or are scarce. In such cases, piv…