Is machine translation ready yet?

Ignacio Garcia

    Research output: Contribution to journalArticlepeer-review

    80 Citations (Scopus)

    Abstract

    The default option of the Google Translator Toolkit (GTT), released in June 2009, is to "pre-fill with machine translation" all segments for which a 'no match' has been returned by the memories, while the Settings window clearly advises that "[m]ost users should not modify this". To confirm whether this approach indeed benefits translators and translation quality, we designed and performed tests whereby trainee translators used the GTT to translate passages from English into Chinese either entirely from the source text, or after seeding of empty segments by the Google Translate engine as recommended. The translations were timed, and their quality assessed by independent experienced markers following Australian NAATI test criteria. Our results show that, while time differences were not significant, the machine translation seeded passages were more favourably assessed by the markers in thirty three of fifty six cases. This indicates that, at least for certain tasks and language combinations "” and against the received wisdom of translation professionals and translator trainers "” translating by proofreading machine translation may be advantageous.
    Original languageEnglish
    Pages (from-to)7-21
    Number of pages15
    JournalTarget
    Volume22
    Issue number1
    DOIs
    Publication statusPublished - 2010

    Keywords

    • machine translating
    • translation memory

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