INMT: Interactive Neural Machine Translation Prediction
- Sebastin Santy ,
- Sandipan Dandapat ,
- Monojit Choudhury ,
- Kalika Bali
2019 Empirical Methods in Natural Language Processing |
Published by Association for Computational Linguistics
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.
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Interactive Neural Machine Translation (INMT)
July 2, 2021
Interactive Machine Translation (INMT) interface 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.