+ LoPar

Description

LoPar is an implementation of a parser for head-lexicalised probabilistic context-free grammars (see Carroll/Rooth). (URL: http://www.ims.uni-stuttgart.de/projekte/gramotron/SOFTWARE/LoPar-en.html)

LoPar can be used for
  • symbolic parsing with a context-free grammar (CFG)
  • statistical parsing with PCFGs and head-lexicalised PCFGs
  • training of PCFGs and HLPCFGs
  • Viterbi parsing
  • chunking
  • tagging
  • and more

You can download LoPar as a gzip-compressed tar file for either Sun/Solaris or Intel/Linux platforms. It is freely available for education, research and other non-commercial purposes. There is also a paper on LoPar and an English grammar as well as a German grammar.

Please send comments, suggestions and bug reports to Helmut.Schmid@ims.uni-stuttgart.de

License

unknown

Downloads

See here for a german grammar. Contact Sabine.Schulte@ims.uni-stuttgart.de (Sabine Schulte im Walde).

Documetation

  • Helmut Schmid and Sabine Schulte im Walde (2002): Robust German Noun Chunking with a Probabilistic Context-Free Grammar. Proceedings of the 18th International Conference on Computational Linguistics (COLING-00). Saarbrücken, Germany. (PS)
  • Glenn Carroll, and Mats Rooth (1998): Valence Induction with a Head-lexicalized PCFG, Empirical Methods in NLP workshop, Granada, 1998. (PS)
  • Sabine Schulte im Walde (2000): The German Statistical Grammar Model: Development, Training and Linguistic Exploitation. Institute for Computational Linguistics, University of Stuttgart. (PS)
  • Helmut Schmid (2000): LoPar: Design and Implementation. Institute for Computational Linguistics, University of Stuttgart. (PS).

Evaluation on the HeiseCorpus

 
This site is powered by FoswikiCopyright © by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Foswiki? Send feedback