روشی کارآمد در افزودن قواعد عبارت‌ساز به نظام ترجمه ماشینی قاعده-بنیاد فارسی به انگلیسیِ اپرتیوم
چکیده
ترجمۀ ماشینی قاعده-بنیاد اطلاعات زبان‌شناختیِ زبان‌های مبدا و مقصد را ضبط می‌کند. این اطلاعات از واژه‌نامه‌های (دو زبانه) و قواعد دستوری بازیابی شده‌اند. این پژوهش یک روش یادگیری فعال مخزن‌بنیاد در افزودن قواعد انتقال ساختاری در سطح عبارت پیشنهاد می‌دهد. بدین منظور، دو مجموعه آزمایش براساس دو نوع جمله از پیکرۀ انگلیسی-فارسی موازی میزان که به‌صورت دستی و تصادفی انتخاب می‌شوند، انجام می‌شود. نتایج به‌دست آمده نشان می‌دهد که قوانین تازه نوشته‌شدۀ عبارت‌ساز به فایل قواعد موجود با استفاده از روش یادگیری فعال منجر به تقویت بیشتر نظام ترجمه ماشینی حاضر نسبت به افزودن قواعد عبارت‌ساز به صورت تصادفی می‌گردد.
کلمات راهنما:
یادگیری فعال مخزن‌بنیاد, ترجمۀ ماشینی قاعده-بنیاد, اپرتیوم, قواعد عبارتسازمراجع
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