DELPH-IN

DELPH-IN
Academics
Discipline:
Formalisms:
Natural language processing
HPSG, MRS
DELPH-IN Summits
Inaugural: LisbonTop (2005)
Latest: TomarTop (2014)
Upcoming: TBA

DEep Linguistic Processing with HPSG - INitiative (DELPH-IN) is a collaboration where computational linguists worldwide develop natural language processing tools for deep linguistic processing of human language.[1] The goal of DELPH-IN is to combine linguistic and statistical processing methods in order to computationally understand the meaning of texts and utterances.

The tools developed by DELPH-IN adopts two linguistics formalisms for deep linguistic analysis, viz. head-driven phrase structure grammar (HPSG) and minimal recursion semantics (MRS).[2] All tools under the DELPH-IN collaboration are developed for general use of open-source licensing.

Since 2005, DELPH-IN has held an annual Summit. This is a loosely structured unconference where people update each other about the work they are doing, seek feedback on current work, and occasionally hammer out agreement on standards and best practice.

DELPH-IN Technologies and Resources

The DELPH-IN collaboration has been progressively building computational tools for deep linguistic analysis such as the:


Other than deep linguistic processing tools, the DELPH-IN collaboration supplies computational resources for Natural Language Processing such as computational HPSG grammars and language prototypes e.g.:


Another range of DELPH-IN resources are not unlike the data use for shallow linguistic processing, such as Text_corpus and treebanks:


The open-source culture of the DELPH-IN collaboration provides the Natural Language Processing community with an array of deep linguistic processing tools and resources. However, the usability of DELPH-IN tools has been an issue with users and application developers new to the DELPH-IN ecology. The DELPH-IN developers are aware of these usability issues and there are ongoing attempts to improve documentation and tutorials of DELPH-IN technologies.[15]

See also

References

  1. DELPH-IN: Open-Source Deep Processing
  2. Ann Copestake, Dan Flickinger, Carl Pollard and Ivan A. Sag. 2005. Minimal Recursion Semantics: An Introduction. In Proceedings of Research on Language and Computation.
  3. PET Parser website
  4. ACE parser/generator homepage
  5. Stephan Oepen, Erik Velldal, Jan Tore Lønning, Paul Meurer, Victoria Rosén, and Dan Flickinger. 2007.Towards hybrid quality-oriented machine translation. On linguistics and probabilities in MT. In Proceedings of the 10th International Conference on Theoretical and Methodological Issues in Machine Translation, pp.144–153. Skövde, Sweden.
  6. DELPH-IN catalog of grammars
  7. Fokkens, Antske, Emily M. Bender and Varvara Gracheva. 2012. Grammar Matrix Customization System Documentation. Online resource.
  8. Fokkens, A., Avgustinova, T., and Zhang, Y. 2012. Climb grammars: three projects using metagrammar engineering. In Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12),Istanbul, Turkey.
  9. MRS Test Suite page
  10. Dan Flickinger, Stephan Oepen, and Gisle Ytrestøl. 2010. WikiWoods: Syntacto-semantic annotation for English Wikipedia. In Proceedings of LREC-2010, pages 1665–1671.
  11. Dan Flickinger, Valia Kordoni and Yi Zhang. 2012. DeepBank: A Dynamically Annotated Treebank of the Wall Street Journal. In Proceedings of TLT-11, Lisbon, Portugal.
  12. DeepBank homepage
  13. DELPH-IN CatB page
  14. Official Cathedral and the Bazaar webpage
  15. DELPH-IN 2013 Summit: Special Interest Group in Useability

External links