arxiv:1902.08646

OpenKiwi: An Open Source Framework for Quality Estimation

Published on Feb 22, 2019

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Abstract

OpenKiwi is a PyTorch framework for translation quality estimation, achieving state-of-the-art performance in word-level tasks and near state-of-the-art in sentence-level tasks using datasets from WMT 2018.

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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.

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