@inproceedings{wisniewski-etal-2014-corpus,
title = "A Corpus of Machine Translation Errors Extracted from Translation Students Exercises",
author = {Wisniewski, Guillaume and
K{\"u}bler, Natalie and
Yvon, Fran{\c{c}}ois},
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/1115_Paper.pdf",
pages = "3585--3588",
abstract = "In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labels identifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises that have been corrected by a senior professor. This corpus can be useful for training quality estimation tools and for analyzing the types of errors made MT system.",
}
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%0 Conference Proceedings
%T A Corpus of Machine Translation Errors Extracted from Translation Students Exercises
%A Wisniewski, Guillaume
%A Kübler, Natalie
%A Yvon, François
%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 wisniewski-etal-2014-corpus
%X In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labels identifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises that have been corrected by a senior professor. This corpus can be useful for training quality estimation tools and for analyzing the types of errors made MT system.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1115_Paper.pdf
%P 3585-3588
Markdown (Informal)
[A Corpus of Machine Translation Errors Extracted from Translation Students Exercises](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1115_Paper.pdf) (Wisniewski et al., LREC 2014)
ACL