Statistical Parsing

Joakim Nivre

This chapter describes techniques for statistical parsing, that is, methods for syntactic analysis that make use of statistical inference from samples of natural language text. The major topics covered are probabilistic context-free grammars, supervised parsing using generative and discriminative models, and models for unsupervised parsing.

Bibtex Citation

  @incollection{nivre-handbook10,
    author = {Joakim Nivre},
    title = {Statistical Parsing},
    booktitle = {Handbook of Natural Language Processing, Second Edition},
    editor = {Nitin Indurkhya and Fred J. Damerau},
    publisher = {CRC Press, Taylor and Francis Group},
    address = {Boca Raton, FL},
    year = {2010},
    note = {ISBN 978-1420085921}
  }

Online Resources

This section contains links to useful resources for statistical parsing, in particular downloadable parsers and resources for evaluation.

Parsers

Evaluation

Other Resources