DELPH-IN
| Academics | |
|---|---|
| Discipline: Formalisms: | Natural language processing HPSG, MRS |
| DELPH-IN Summits | |
| Inaugural: | LisbonTop (2005) |
| Latest: | SaarlandTop (2013) |
| Upcoming: | TBA |
DEep Linguistic Processing with HPSG - INitiative (DELPH-IN) is a collaboration where computational linguists worldwide develops 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 and 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:
- LKB system (Lexical Knowledge Builder): a grammar engineering environment where linguists can build unification grammar with the Head-driven Phrase Structure Grammar formalism
- PET parser (Platform for Experimentation with efficient HPSG processing Techniques): an open source parser which produces HPSG parse trees with Minimal Recursion Semantics (MRS) outputs [3]
- ACE processor (Answer Constraint Engine): an efficient system to process DELPH-IN grammars that provide HPSG syntactic parses with MRS outputs. The latest version of ACE is able to generate natural language sentences. [4]
- LOGON infrastructure is a collection of software and DELPH-IN grammars to provide transfer-based machine translation. The LOGON approach to machine translation has proven to provide quality oriented hybrid (rule-based and stochastic) translations [5].
Other than deep linguistic processing tools, the DELPH-IN collaboration supplies computational resources for Natural Language Processing such as computational HPSG grammars, language prototypes e.g.:
- DELPH-IN grammars: a catalogue of computational HPSG grammar hand-crafted to capture deep linguistics analysis specific to the respective languages
- LinGO Grammar Matrix: an open-source starter-kit for rapid prototyping of precision broad-coverage grammars compatible with the LKB. It contains a library of common language phenomena that computational grammarians can inherit for their HPSG grammars.[6]
- CLIMB libraries (Comparative Libraries of Implementations with Matrix Basis):
corpora and treebanks,
References
- ^ DELPH-IN: Open-Source Deep Processing
- ^ Ann Copestake, Dan Flickinger, Carl Pollard and Ivan A. Sag. 2005. Minimal Recursion Semantics: An Introduction. In Proceedings of Research on Language and Computation.
- ^ | PET Parser website
- ^ | ACE parser/generator homepage
- ^ [mt-archive.info/TMI-2007-Oepen.pdf|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.
- ^ Fokkens, Antske, Emily M. Bender and Varvara Gracheva. 2012. Grammar Matrix Customization System Documentation. Online resource.
See also
External links
 | This computing article is a stub. You can help Wikipedia by expanding it. |
 | This linguistics article is a stub. You can help Wikipedia by expanding it. |