taiqihe / matrix

The Grammar Matrix

The Grammar Matrix

The Grammar Matrix is a DELPH-IN project for creating ("customizing") HPSG grammars for deep linguistic analysis. It has been used to teach university courses in grammar engineering as well as to jumpstart development on larger grammars, such as Zhong (Chinese languages) and INDRA (Indonesian).

NOTE: This repository is currently being ported from Subversion and converted from Python 2 to 3, so there may be some portions that do not work as intended.

Links and Resources

• Customization Page – a questionnaire for creating starting grammars
• The Grammar Matrix wiki – documentation for users and developers
• Grammar Engineering FAQ – help for grammar developers

Citation

Please use the following when citing the Grammar Matrix:

@inproceedings{bender-etal-2002-grammar,
    title = "The {G}rammar {M}atrix: An Open-Source Starter-Kit for the Rapid Development of Cross-linguistically Consistent Broad-Coverage Precision Grammars",
    author = "Bender, Emily M.  and
      Flickinger, Dan  and
      Oepen, Stephan",
    booktitle = "{COLING}-02: Grammar Engineering and Evaluation",
    year = "2002",
    url = "https://www.aclweb.org/anthology/W02-1502",
}
@inproceedings{bender-etal-2010-grammar,
    title = "Grammar Prototyping and Testing with the {L}in{GO} {G}rammar {M}atrix {C}ustomization {S}ystem",
    author = "Bender, Emily M.  and
      Drellishak, Scott  and
      Fokkens, Antske  and
      Goodman, Michael Wayne  and
      Mills, Daniel P.  and
      Poulson, Laurie  and
      Saleem, Safiyyah",
    booktitle = "Proceedings of the {ACL} 2010 System Demonstrations",
    month = jul,
    year = "2010",
    address = "Uppsala, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/P10-4001",
    pages = "1--6",
}

Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant No. BCS-0644097. Additional support for Grammar Matrix development came from a gift to the Turing Center from the Utilika Foundation.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.