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Stanford (Statistical Natural Language) Parser


Stanford Reference:

05-230


Abstract


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 Imelda Oropeza at imelda.oropeza@stanford.edu or 650-725-9039.

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
 

Licensing Contact


Imelda Oropeza, Licensing Associate
650-725-9039 (Business)
Request Info

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