@inproceedings{matsuzaki-etal-2016-translation,
title = "Translation Errors and Incomprehensibility: a Case Study using Machine-Translated Second Language Proficiency Tests",
author = "Matsuzaki, Takuya and
Fujita, Akira and
Todo, Naoya and
Arai, Noriko H.",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1440/",
pages = "2771--2776",
abstract = "This paper reports on an experiment where 795 human participants answered to the questions taken from second language proficiency tests that were translated to their native language. The output of three machine translation systems and two different human translations were used as the test material. We classified the translation errors in the questions according to an error taxonomy and analyzed the participants' response on the basis of the type and frequency of the translation errors. Through the analysis, we identified several types of errors that deteriorated most the accuracy of the participants' answers, their confidence on the answers, and their overall evaluation of the translation quality."
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%0 Conference Proceedings
%T Translation Errors and Incomprehensibility: a Case Study using Machine-Translated Second Language Proficiency Tests
%A Matsuzaki, Takuya
%A Fujita, Akira
%A Todo, Naoya
%A Arai, Noriko H.
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F matsuzaki-etal-2016-translation
%X This paper reports on an experiment where 795 human participants answered to the questions taken from second language proficiency tests that were translated to their native language. The output of three machine translation systems and two different human translations were used as the test material. We classified the translation errors in the questions according to an error taxonomy and analyzed the participants’ response on the basis of the type and frequency of the translation errors. Through the analysis, we identified several types of errors that deteriorated most the accuracy of the participants’ answers, their confidence on the answers, and their overall evaluation of the translation quality.
%U https://aclanthology.org/L16-1440/
%P 2771-2776
Markdown (Informal)
[Translation Errors and Incomprehensibility: a Case Study using Machine-Translated Second Language Proficiency Tests](https://aclanthology.org/L16-1440/) (Matsuzaki et al., LREC 2016)
ACL