Consistent Unsupervised Estimators for Anchored PCFGs
Learning probabilistic context-free grammars (PCFGs) from strings is a classic problem in computational linguistics since Horning ( 1969 ). Here we present an algorithm based on distributional learning that is a consistent estimator for a large class of PCFGs that satisfy certa...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
The MIT Press
2020-07-01
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Series: | Transactions of the Association for Computational Linguistics |
Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00323 |