SAO WMT19 Test Suite: Machine Translation of Audit Reports

Tereza Vojtěchová, Michal Novák, Miloš Klouček, Ondřej Bojar


Abstract
This paper describes a machine translation test set of documents from the auditing domain and its use as one of the “test suites” in the WMT19 News Translation Task for translation directions involving Czech, English and German. Our evaluation suggests that current MT systems optimized for the general news domain can perform quite well even in the particular domain of audit reports. The detailed manual evaluation however indicates that deep factual knowledge of the domain is necessary. For the naked eye of a non-expert, translations by many systems seem almost perfect and automatic MT evaluation with one reference is practically useless for considering these details. Furthermore, we show on a sample document from the domain of agreements that even the best systems completely fail in preserving the semantics of the agreement, namely the identity of the parties.
Anthology ID:
W19-5355
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
481–493
Language:
URL:
https://www.aclweb.org/anthology/W19-5355
DOI:
10.18653/v1/W19-5355
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5355.pdf
Poster:
 W19-5355.Poster.pdf