Self-Training PCFG Grammars with Latent Annotations Across Languages

  title={Self-Training PCFG Grammars with Latent Annotations Across Languages},
  author={Zhongqiang Huang and Mary P. Harper},
We investigate the effectiveness of selftraining PCFG grammars with latent annotations (PCFG-LA) for parsing languages with different amounts of labeled training data. Compared to Charniak’s lexicalized parser, the PCFG-LA parser was more effectively adapted to a language for which parsing has been less well developed (i.e., Chinese) and benefited more from selftraining. We show for the first time that self-training is able to significantly improve the performance of the PCFG-LA parser, a… CONTINUE READING
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