Automatic Extraction of Subcategorization Frames for Czech

We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques applied to this problem. We show how the learning algorithm can be used to discover previously unknown subcategorization frames from the Czech Prague Dependency Treebank. The algorithm can then be used to label dependents of a verb in the Czech treebank as either arguments or adjuncts. Using our techniques, we are able to achieve 88% precision on unseen parsed text.

• Publication year

  2000

• Venue

  International Conference on Computational Linguistics

• Publication date

  2000-07-31

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/992730.992746arXiv cs/0009003
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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