Openkiwi: An Open Source Framework For Quality Estimation
Fábio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, André F. T. Martins . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations 2019 – 107 citations
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.