يمكن تعلم القواعد المورفولوجية ذات مستويات مختلفة من الخصوصية من مثال lexemes عن طريق التطبيق العسكري للحد الأدنى من التعميم (أولبرايت والهايس، 2002، 2003). النموذج الذي يتعلم القواعد فقط من خلال الحد الأدنى من التعميم كان يستخدم للتنبؤ بمتوسط تصنيفات اختبار الباحث البشري من الألمانيةوالإنجليزية والهولندية في مهمة SIGMORPHON-UNIMORPH 2021 المشتركة، مع نتائج تنافسية.وقد ثبت بعض الخصائص الرسمية لعملية التعميم الحد الأدنى.تم تطوير طريقة تلقائية لإنشاء محفزات اختبار Wug للتجارب المستقبلية التي تحقق ما إذا كانت التعميمات المورفولوجية النموذجية ضئيلة للغاية.
Morphological rules with various levels of specificity can be learned from example lexemes by recursive application of minimal generalization (Albright and Hayes, 2002, 2003).A model that learns rules solely through minimal generalization was used to predict average human wug-test ratings from German, English, and Dutch in the SIGMORPHON-UniMorph 2021 Shared Task, with competitive results. Some formal properties of the minimal generalization operation were proved. An automatic method was developed to create wug-test stimuli for future experiments that investigate whether the model's morphological generalizations are too minimal.
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