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Findings of the 2014 Workshop on Statistical Machine Translation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289363" target="_blank" >RIV/00216208:11320/14:10289363 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Findings of the 2014 Workshop on Statistical Machine Translation

  • Original language description

    This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task. This year, 143 machine translation systems from 23 institutions were submitted to the ten translation directions in the standard translation task. An additional 6 anonymized systems were included, and were then evaluated both automatically and manually. The quality estimation task had four subtasks, with a total of 10 teams, submitting 57 entries.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Ninth Workshop on Statistical Machine Translation

  • ISBN

    978-1-941643-17-4

  • ISSN

  • e-ISSN

  • Number of pages

    47

  • Pages from-to

    12-58

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Baltimore, MD, USA

  • Event location

    Baltimore, MD, USA

  • Event date

    Jun 26, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article