PET: A Standalone Tool for Assessing Machine Translation through Post-editing

نویسندگان

  • Wilker Aziz
  • Lucia Specia
چکیده

Machine translation (MT) post-editing is now a popular practice in the translation industry. It has been shown to allow translations to be produced at lower cost without a decrease in quality. The post-editing of automatic translations can provide useful information for MT researchers and developers to evaluate translations and systems. We describe a standalone tool that has two main purposes: allow the post-editing of translations from any MT system and collect sub-segment and segment level information from the post-editing process, e.g., detailed keystroke and time statistics.

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تاریخ انتشار 2012