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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

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 &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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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