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OpenKiwi: An Open Source Framework for Quality Estimation

2019-02-22 19:27:45
Fábio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, André F. T. Martins
arXiv_CL
   
Abstract

We introduce OpenKiwi, a Pytorch-based open source framework for translation quality estimation. OpenKiwi supports training and testing of word-level and sentence-level quality estimation systems, implementing the winning systems of the WMT 2015-18 quality estimation campaigns. We benchmark OpenKiwi on two datasets from WMT 2018 (English-German SMT and NMT), yielding state-of-the-art performance on the word-level tasks and near state-of-the-art in the sentence-level tasks.

Abstract (translated)

URL

https://arxiv.org/abs/1902.08646

PDF

https://arxiv.org/pdf/1902.08646.pdf

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