INMT: Interactive Neural Machine Translation Prediction
2019-11-01IJCNLP 2019Code Available0· sign in to hype
Sebastin Santy, D, S apat, ipan, Monojit Choudhury, Kalika Bali
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- github.com/microsoft/inmtOfficialpytorch★ 0
Abstract
In this paper, we demonstrate an Interactive Machine Translation interface, that assists human translators with on-the-fly hints and suggestions. This makes the end-to-end translation process faster, more efficient and creates high-quality translations. We augment the OpenNMT backend with a mechanism to accept the user input and generate conditioned translations.