The taraXÜ Corpus of Human-Annotated Machine Translations

Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Maja Popovic, Cindy Tscherwinka, David Vilar Torres, Hans Uszkoreit

In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). International Conference on Language Resources and Evaluation (LREC-14) May 26-31 Reykjavik, Iceland Iceland Seiten 2679-2682 ISBN 978-2-9517408-8-4 European Language Resources Association (ELRA) 5/2014.


Human translators are the key to evaluating machine translation (MT) quality and also to addressing the so far unanswered question when and how to use MT in professional translation workflows. This paper describes the corpus developed as a result of a detailed large scale human evaluation consisting of three tightly connected tasks: ranking, error classification and post-editing.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence