Hybrid Architectures for Machine Translation Systems.

Although some progress has been made on the quality of Machine Translation in recent years, there is still a significant potential for quality improvement. There has also been a shift in paradigm of machine translation, from “classical” rule-based systems like METAL or LMT towards example-based or s...

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Publicado en:Language Resources & Evaluation Vol. 39; no. 1; pp. 91 - 109
Autor principal: Thurmair, Gregor
Formato: Artículo
Publicado: Springer Nature Feb2005
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Thurmair, Gregor
        affil: linguatic GmbH, Gottfried Keller Strrasse 12 81245 Munich Germany
      su:
        Translators (Computer programs)
        Translating & interpreting
        Language & languages
        Computer software
        Computer architecture
      sug:
        subj:
          Translators (Computer programs)
          Translating & interpreting
          Language & languages
          Computer software
          Computer architecture
      keyword:
        evaluation architecture
        Machine Translation
        MT architecture
      ab: Although some progress has been made on the quality of Machine Translation in recent years, there is still a significant potential for quality improvement. There has also been a shift in paradigm of machine translation, from “classical” rule-based systems like METAL or LMT towards example-based or statistical MT. It seems to be time now to evaluate the progress and compare the results of these efforts, and draw conclusions for further improvements of MT quality. The paper starts with a comparison between statistical MT (henceforth: SMT) and rule-based MT (henceforth: RMT) systems, and describes the set-up and the evaluation results; the second section analyses the strengths and weaknesses of the respective approaches, and the third one discusses models of an architecture for a hybrid system.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2005. All Rights Reserved.
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