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Register a new userIntegration of Machine Translation and Translation Memory: Post-Editing Efforts
دمج الترجمة الآلية وذاكرة الترجمة: جهود ما بعد التحرير
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قام تطوير تقنيات الترجمة، مثل ذاكرة الترجمة والترجمة الآلية، قد غيرت تماما سير عمل صناعة الترجمة وسير العمل في العقود الماضية.ومع ذلك، تم تطوير TM و MT بشكل منفصل حتى وقت قريب.سيقوم هذا المشروع المستمر بدراسة التكامل الخارجي ل TM و MT، وفحص ما إذا كانت الجهود الإنتاجية وما بعد التحرير للمترجمين أعلى أو أقل من استخدام TM فقط.تحقيقا لهذه الغاية، سنقوم بإجراء تجربة حيث سيطلب من طلاب الترجمة والمترجمين المحترفين ترجمة نصين قصيرين؛ثم سنتحقق من جهود ما بعد التحرير (الجهود الزمنية والتقنية والمعرفية) ونوعية النصوص المترجمة.
The development of Translation Technologies, like Translation Memory and Machine Translation, has completely changed the translation industry and translator's workflow in the last decades. Nevertheless, TM and MT have been developed separately until very recently. This ongoing project will study the external integration of TM and MT, examining if the productivity and post-editing efforts of translators are higher or lower than using only TM. To this end, we will conduct an experiment where Translation students and professional translators will be asked to translate two short texts; then we will check the post-editing efforts (temporal, technical and cognitive efforts) and the quality of the translated texts.
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Automatic post-editing (APE) models are usedto correct machine translation (MT) system outputs by learning from human post-editing patterns. We present the system used in our submission to the WMT'21 Automatic Post-Editing (APE) English-German (En-De
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