@inproceedings{avramidis-etal-2014-taraxu,
title = {The tara{X{\"U}} corpus of human-annotated machine translations},
author = "Avramidis, Eleftherios and
Burchardt, Aljoscha and
Hunsicker, Sabine and
Popovi{\'c}, Maja and
Tscherwinka, Cindy and
Vilar, David and
Uszkoreit, Hans",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/401_Paper.pdf",
pages = "2679--2682",
abstract = "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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%0 Conference Proceedings
%T The taraXÜ corpus of human-annotated machine translations
%A Avramidis, Eleftherios
%A Burchardt, Aljoscha
%A Hunsicker, Sabine
%A Popović, Maja
%A Tscherwinka, Cindy
%A Vilar, David
%A Uszkoreit, Hans
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F avramidis-etal-2014-taraxu
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/401_Paper.pdf
%P 2679-2682
Markdown (Informal)
[The taraXÜ corpus of human-annotated machine translations](http://www.lrec-conf.org/proceedings/lrec2014/pdf/401_Paper.pdf) (Avramidis et al., LREC 2014)
ACL
- Eleftherios Avramidis, Aljoscha Burchardt, Sabine Hunsicker, Maja Popović, Cindy Tscherwinka, David Vilar, and Hans Uszkoreit. 2014. The taraXÜ corpus of human-annotated machine translations. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2679–2682, Reykjavik, Iceland. European Language Resources Association (ELRA).