Bayesian Learning of Latent Representations of Language Structures
We borrow the concept of representation learning from deep learning research, and we argue that the quest for Greenbergian implicational universals can be reformulated as the learning of good latent representations of languages, or sequences of surface typological features. By projecting languages i...
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| Format: | Article |
| Language: | English |
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The MIT Press
2019-06-01
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| Series: | Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00346 |