A graph auto-encoder model of derivational morphology

There has been little work on modeling the morphological well-formedness (MWF) of derivatives, a problem judged to be complex and difficult in linguistics. We present a graph auto-encoder that learns embeddings capturing information about the compatibility of affixes and stems in derivation. The aut...

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Үндсэн зохиолчид: Hofmann, V, Schütze, H, Pierrehumbert, JB
Формат: Conference item
Хэл сонгох:English
Хэвлэсэн: Association for Computational Linguistics 2020