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Found 3 papers, 1 papers with code
Revisiting Low Resource Status of Indian Languages in Machine Translation
Through this paper, we provide and analyse an automated framework to obtain such a corpus for Indian language neural machine translation (NMT) systems.
A Multilingual Parallel Corpora Collection Effort for Indian Languages
We present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as low resource.
CVIT's submissions to WAT-2019
This paper describes the Neural Machine Translation systems used by IIIT Hyderabad (CVIT-MT) for the translation tasks part of WAT-2019.
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