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Description
  • In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual %22component%22 translations. As a first step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can benefit from additional (linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-based annotation f
  • In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual %22component%22 translations. As a first step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can benefit from additional (linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-based annotation f (en)
Title
  • A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
  • A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation (en)
skos:prefLabel
  • A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
  • A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation (en)
skos:notation
  • RIV/00216208:11320/12:10130024!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 120573
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10130024
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • translation; machine; hybrid; corpus; parallel; multilingual; annotated; richly (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C140EC7397F2]
http://linked.open...v/mistoKonaniAkce
  • İstanbul, Turkey
http://linked.open...i/riv/mistoVydani
  • İstanbul, Turkey
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pecina, Pavel
  • Avramidis, Eleftherios
  • Costa-Jussa, Marta R.
  • Federmann, Christian
  • van Genabith, Josef
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Language Resources Association
https://schema.org/isbn
  • 978-2-9517408-7-7
http://localhost/t...ganizacniJednotka
  • 11320
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