Involving language professionals in the evaluation of machine translation.

Significant breakthroughs in machine translation (MT) only seem possible if human translators are taken into the loop. While automatic evaluation and scoring mechanisms such as BLEU have enabled the fast development of systems, it is not clear how systems can meet real-world (quality) requirements i...

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Published in:Language Resources & Evaluation Vol. 48; no. 4; pp. 541 - 560
Main Authors: Popović, Maja, Avramidis, Eleftherios, Burchardt, Aljoscha, Hunsicker, Sabine, Schmeier, Sven, Tscherwinka, Cindy, Vilar, David, Uszkoreit, Hans
Format: Article
Published: Springer Nature Dec2014
Subjects:
Online Access:View this record in EBSCOhost
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          Popović, Maja
          Avramidis, Eleftherios
          Burchardt, Aljoscha
          Hunsicker, Sabine
          Schmeier, Sven
          Tscherwinka, Cindy
          Vilar, David
          Uszkoreit, Hans
        affil:
          DFKI - Language Technology Lab, Berlin Germany
          euroscript Deutschland, Berlin Germany
      su:
        Computational linguistics
        Translators
        Linguists
        Error analysis in mathematics
        Translating & interpreting
      sug:
        subj:
          Computational linguistics
          Translators
          Linguists
          Error analysis in mathematics
          Translating & interpreting
      keyword:
        Error analysis
        Human evaluation
        Machine translation
      ab: Significant breakthroughs in machine translation (MT) only seem possible if human translators are taken into the loop. While automatic evaluation and scoring mechanisms such as BLEU have enabled the fast development of systems, it is not clear how systems can meet real-world (quality) requirements in industrial translation scenarios today. The taraXŰ project has paved the way for wide usage of multiple MT outputs through various feedback loops in system development. The project has integrated human translators into the development process thus collecting feedback for possible improvements. This paper describes results from detailed human evaluation. Performance of different types of translation systems has been compared and analysed via ranking, error analysis and post-editing.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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