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...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Association for Computational Linguistics
2020
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