SAO WMT19 Test Suite: Machine Translation of Audit Reports

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

SAO WMT19 Test Suite: Machine Translation of Audit Reports

Popis výsledku v původním jazyce

This paper describes a machine translation test set of documents from the auditing domain and its use as one of the &quot;test suites&quot; 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.

Název v anglickém jazyce

SAO WMT19 Test Suite: Machine Translation of Audit Reports

Popis výsledku anglicky

This paper describes a machine translation test set of documents from the auditing domain and its use as one of the &quot;test suites&quot; 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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

13

Strana od-do

680-692

Název nakladatele

Association for Computational Linguistics

Místo vydání

Stroudsburg, PA, USA

Místo konání akce

Firenze, Italy

Datum konání akce

1. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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