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Stanford (Statistical Natural Language) Parser


Stanford Reference:

05-230


Abstract


FOR ALL LICENSING INQUIRIES PLEASE EMAIL NLP Licensing.

Researchers in the Stanford Natural Language Processing Group have developed a Java implementation of probabilistic natural language parsers - both lexicalized PCFG parser and highly optimized PCFG and dependency parsers. The parser program provides typed dependencies output as well as phrase structure trees. The software was originally developed for determining the grammatical structure of English sentences and has been adapted to work with other languages, including Chinese, German, Italian and Arabic.

Ongoing Research:
The inventors continue to modify and extend the parser to handle other languages, to support additional features, and to improve performance and flexibility.

Licensing:
The Stanford Parser is available for download for non-commercial use under the GNU GPL at http://nlp.stanford.edu/software/lex-parser.shtml. If you would like a commercial license, please contact Chris Tagge at tagge@stanford.edu or 650-725-8402.

Applications


  • Assigning sentence structure to human text:
    • languages - English, Chinese, German, Italian and Arabic
    • output - typed dependencies or phrase structure trees

Advantages


  • Guarantee of exact inference
  • Accurate unlexicalized model

Publications



Stanford Parser and Inventor Profiles




Related Web Links



Innovators & Portfolio



Date Released

 8/20/2007 12:00
 

Licensing Contact


David Mallin, Licensing Associate
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Related Keywords


computer   software