OpenKiwi: An Open Source Framework for Quality Estimation

02/22/2019
by   Fábio Kepler, et al.
0

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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset