@inproceedings{valotkaite-asadullah-2012-error,
    title = "Error Detection for Post-editing Rule-based Machine Translation",
    author = "Valotkaite, Justina  and
      Asadullah, Munshi",
    editor = "O'Brien, Sharon  and
      Simard, Michel  and
      Specia, Lucia",
    booktitle = "Workshop on Post-Editing Technology and Practice",
    month = oct # " 28",
    year = "2012",
    address = "San Diego, California, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/fix-sig-urls/2012.amta-wptp.9/",
    abstract = "The increasing role of post-editing as a way of improving machine translation output and a faster alternative to translating from scratch has lately attracted researchers' attention and various attempts have been proposed to facilitate the task. We experiment with a method to provide support for the post-editing task through error detection. A deep linguistic error analysis was done of a sample of English sentences translated from Portuguese by two Rule-based Machine Translation systems. We designed a set of rules to deal with various systematic translation errors and implemented a subset of these rules covering the errors of tense and number. The evaluation of these rules showed a satisfactory performance. In addition, we performed an experiment with human translators which confirmed that highlighting translation errors during the post-editing can help the translators perform the post-editing task up to 12 seconds per error faster and improve their efficiency by minimizing the number of missed errors."
}