Unsupervised Learning of Morphological Forests
<jats:p> This paper focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edge-wise properties reflecting single-step morphological derivations, along with global distributional properti...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
MIT Press - Journals
2021
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| Online Access: | https://hdl.handle.net/1721.1/135066 |