SAO WMT19 Test Suite: Machine Translation of Audit Reports
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405615" target="_blank" >RIV/00216208:11320/19:10405615 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt19/papers.html" target="_blank" >http://www.statmt.org/wmt19/papers.html</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
SAO WMT19 Test Suite: Machine Translation of Audit Reports
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fourth Conference on Machine Translation - Proceedings of the Conference
ISBN
978-1-950737-27-7
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
680-692
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Firenze, Italy
Event date
Aug 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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