DELPH-IN

DELPH-IN
Academics
Discipline:
Formalisms:
Natural language processing
HPSG, MRS
DELPH-IN Summits
Inaugural: LisbonTop (2005)
Latest: SingaporeTop (2015)
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

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