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...
| Główni autorzy: | , , |
|---|---|
| Format: | Conference item |
| Język: | English |
| Wydane: |
Association for Computational Linguistics
2020
|