Parallel subtitle corpora and their applications in machine translation and translatology.

SUMAT is a project funded through the EU ICT Policy Support Programme (2011–2014). It involves four subtitling companies (InVision, DDS, Titelbild, VSI) and five technical partners (ALS, ATC, TextShuttle, University of Maribor, Vicomtech).For the SUMAT project, translated subtitles for seven languag...

Descripción completa

Detalles Bibliográficos
Publicado en:Perspectives: Studies in Translatology Vol. 21; no. 4; pp. 595 - 611
Autores principales: Bywood, Lindsay, Volk, Martin, Fishel, Mark, Georgakopoulou, Panayota
Formato: Artículo
Publicado: Taylor & Francis Ltd 2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=91825324&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 91825324
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0907676X
        S2F
      jtl: Perspectives: Studies in Translatology
      issn: 0907676X
      maglogo: N
    pubinfo:
      dt: 2013
      vid: 21
      iid: 4
      pid: 377
      pub: Taylor & Francis Ltd
    artinfo:
      ui:
        91825324
        10.1080/0907676X.2013.831920
      ppf: 595
      ppct: 16
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 251KB
      tig:
        atl: Parallel subtitle corpora and their applications in machine translation and translatology.
      aug:
        au:
          Bywood, Lindsay
          Volk, Martin
          Fishel, Mark
          Georgakopoulou, Panayota
        affil:
          Translation Studies Unit, VSI and Imperial College London, London, UK
          Institute of Computational Linguistics, University of Zurich, Zurich, Switzerland
          Deluxe, London, UK
      su:
        Translations
        Corpora
        Motion picture subtitles
        Language & languages
        Dialogue in motion pictures
      sug:
        subj:
          Translations
          Corpora
          Motion picture subtitles
          Language & languages
          Dialogue in motion pictures
      keyword:
        machine translation
        parallel concordancing
        parallel corpora
        statistical machine translation
        subtitling
      ab: SUMAT is a project funded through the EU ICT Policy Support Programme (2011–2014). It involves four subtitling companies (InVision, DDS, Titelbild, VSI) and five technical partners (ALS, ATC, TextShuttle, University of Maribor, Vicomtech).For the SUMAT project, translated subtitles for seven language pairs have been collected. Four subtitling companies have contributed to this effort, which has so far resulted in collections numbering between 200,000 and 2 million subtitles per language pair. This paper describes the process of converting, classifying and aligning the subtitles. Conversion to a common text format and cross-language alignment were automatically done, using specially built converters, whilst classifying the subtitles according to text genre was a manual process, performed by the teams harvesting the subtitles.The resulting subtitle corpora are perfectly suited for various applications. The focus of the SUMAT project is to use them as training material for statistical machine translation systems, and this paper will report on the initial experiences with some of the language pairs. In addition, the parallel corpora may serve as input data for parallel concordancing systems. As part of the project, a small prototype has been built which shows how word-aligned parallel subtitles offer new insights for translation science.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Perspectives: Studies in Translatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Perspectives: Studies in Translatology
      holder: Taylor & Francis Ltd
      dt:
        @attributes:
          year: 2013
    holdings:
      @attributes:
        islocal: N