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Register a new userBacktranslation Feedback Improves User Confidence in MT, Not Quality
ردود الفعل Backtranslation يحسن ثقة المستخدم في MT، وليس الجودة
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ترجمة النص إلى لغة غير معروفة إلى مؤلف النص، التي يطلق عليها اسم الترجمة الصادرة، هي الحاجة الحديثة التي تعتبر تجربة المستخدم مجالا هاما للتحسين، بعد منشأة ترجمة الآلات الأساسية.نوضح ذلك من خلال إظهار ثلاث طرق حيث يمكن أن تتأثر ثقة المستخدم في الترجمة الخارجية، وكذلك الجودة النهائية الشاملة،: الترجمة الخلفية، تقدير الجودة (مع المحاذاة) وإصلاح المصادر.في هذه الورقة، وصفنا تجربة على الترجمة الصادرة من الإنجليزية إلى التشيكية والإستونية.نحن ندرس آثار كل وحدة ملاحظات مقترحة وتركز كذلك على كيفية تأثير جودة أنظمة الترجمة الآلية التي تؤثر على هذه النتائج وتصور المستخدم للنجاح.نظهر أن ردود الفعل الترجمة الخلفية لها تأثير مختلط على العملية برمتها: فهي تزيد ثقة المستخدم في الترجمة المنتجة، ولكن ليس الجودة الموضوعية.
Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility. We demonstrate this by showing three ways in which user confidence in the outbound translation, as well as its overall final quality, can be affected: backward translation, quality estimation (with alignment) and source paraphrasing. In this paper, we describe an experiment on outbound translation from English to Czech and Estonian. We examine the effects of each proposed feedback module and further focus on how the quality of machine translation systems influence these findings and the user perception of success. We show that backward translation feedback has a mixed effect on the whole process: it increases user confidence in the produced translation, but not the objective quality.
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