04/07/2020

A Graph Auto-encoder Model of Derivational Morphology

Valentin Hofmann, Hinrich Schütze, Janet Pierrehumbert

Keywords: Graph Morphology, graph auto-encoder, auto-encoder MWF, MWF

Abstract Paper Similar Papers

Abstract: 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 auto-encoder models MWF in English surprisingly well by combining syntactic and semantic information with associative information from the mental lexicon.

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