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Register a new userNeural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
مجموعة البيانات والنماذج الملوثة لغات متعددة، من الكبير إلى المهددة بالانقراض
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نربط النماذج العصبية للتحليل المورفولوجي والجيل والليمون للغات الغنية بالمورفولوجيا.نقدم طريقة لاستخراج كمية كبيرة من البيانات التدريبية تلقائيا من FSTS لمدة 22 لغة، منها 17 مليار بالانقراض.تتبع النماذج العصبية نفس التشريع مثل FSTS من أجل تحقيقها لأنظمة الاحتياطية مع FSTS.تم إصدار التعليمات البرمجية المصدر والنماذج والشطونات على Zenodo.
We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages. We present a method for automatically extracting substantially large amount of training data from FSTs for 22 languages, out of which 17 are endangered. The neural models follow the same tagset as the FSTs in order to make it possible to use them as fallback systems together with the FSTs. The source code, models and datasets have been released on Zenodo.
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