Evaluating RBMT output for -ing forms: A study of four tar-get languages

• Nora Aranberri-Monasterio ^[1] ; Sharon O Brien ^[1]
  1. [1] Dublin City University

     Dublin City University

     Irlanda

     
• Localización: Linguistica Antverpiensia, ISSN-e 2295-5739, ISSN 0304-2294, Nº. 8, 2009 (Ejemplar dedicado a: Technology evaluation), págs. 105-122
• Idioma: inglés
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• Resumen

  • -ing forms in English are reported to be problematic for Machine Transla-tion and are often the focus of rules in Controlled Language rule sets. We investigated how problematic -ing forms are for an RBMT system, translat-ing into four target languages in the IT domain. Constituent-based human evaluation was used and the results showed that, in general, -ing forms do not deserve their bad reputation. A comparison with the results of five automated MT evaluation metrics showed promising correlations. Some issues prevail, however, and can vary from target language to target lan-guage. We propose different strategies for dealing with these problems, such as Controlled Language rules, semi-automatic post-editing, source text tagging and “post-editing” the source text.