Training of Automatic Post-editing and Quality Estimation components / Quality Estimation / Error Analysis. Set of 10,800 Human Post Edited (HPE) triplets for 3 language pairs (English to German, English to Czech, English to Latvian) on WMT17 news task data. Each triplet consists in (source, reference, HPE). For each language pair, the target segments have been produced on the WMT17 news task by the3 best WMT17 systems in their respective language pair. Each translation engine has provided 1,200 segments. Translations (targets) have been generated using, “1 62.0 0.308 uedin-nmt”,”3 55.9 0.111 limsi-factored-norm”, “54.1 0.050 CU-Chimera” for En-Cz, “69.8 0.139 uedin-nmt”,”66.7 0.022 KIT”, “66.0 0.003 RWTH-nmt-ensemb” for En-De and “54.4 0.196 tilde-nc-nmt-smt”, “50.8 0.075 limsi-fact-norm”,”50.0 0.058 usfd-cons-qt21” for En-Lv. HPEs for En-De have been collected by professional translators from Text&Form. En-Lv HPEs have been collected by professional translators from Tilde. En-Cz HPEs have been collected by professional translators from Traductera. All data is provided by the EU project QT21 (http://www.qt21.eu/).