# Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation

arXiv: https://arxiv.org/abs/1803.07204 · HTML: https://mlsanity.com/paper/1803.07204/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Mar 2018.

## Built on by (most cited first, 2 of 2)

- [DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding](https://mlsanity.com/paper/2212.04205/) (2022)
- [Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space](https://mlsanity.com/paper/2106.15217/) (2021)

## Abstract (arXiv)

SGNMT is a decoding platform for machine translation which allows paring various modern neural models of translation with different kinds of constraints and symbolic models. In this paper, we describe three use cases in which SGNMT is currently playing an active role: (1) teaching as SGNMT is being used for course work and student theses in the MPhil in Machine Learning, Speech and Language Technology at the University of Cambridge, (2) research as most of the research work of the Cambridge MT group is based on SGNMT, and (3) technology transfer as we show how SGNMT is helping to transfer research findings from the laboratory to the industry, eg. into a product of SDL plc.