WMT 2017 Automatic Post-Editing data set

ID:

http://hdl.handle.net/11372/LRT-2390

Training of Automatic Post-editing and Quality Estimation components. For WMT 2017, 11.000 segments have been added to the WMT16 training set (En-De) together with a new test (for 2017) made of 2.000 segments (En-De). Also in 2017 a new language pair has been added: De-En with 25k segments for training, 1k segments for dev, 2k segments for test. Adding the 2016 and 2017 Auto PE data together, we obtain for each language pair a total of 28k segments each, split in: En-De: training set = 23 k, dev set = 1k , test-set16 = 2k, test-set17 = 2k, De-En: training set: 25k, dev-set = 1k, test-set17= 2k
Training, development and text data consist of English-German triplets (source, target and post-edit) belonging to the Information Technology domain and already tokenized. Training and development respectively contain 12,000 and 1,000 triplets, while the test set contains 2,000 instances. Target sentences are machine-translated with the KIT system. Post-edits are collected by Text &Form from professional translators. All data is provided by the EU project QT21 (http://www.qt21.eu/)
IMPORTANT LEGAL NOTICE (This dataset is provided under the following terms of use)
TAUS Terms of Use (https://lindat.mff.cuni.cz/repository/xmlui/page/licence-TAUS_QT21).
TAUS grants to QT21 User access to the WMT Data Set with the following rights:
i) the right to use the target side of the translation units into a commercial product, provided that QT21 User may not resell the WMT Data Set as if it is its own new translation;
ii) the right to make Derivative Works; and
iii) the right to use or resell such Derivative Works commercially and for the following goals:
i) research and benchmarking;
ii) piloting new solutions; and
iii) testing of new commercial services.

You don’t have the permission to edit this resource.