Computational linguists of research sites world-wide have joined forces in a
collaborative effort aimed at deep linguistic processing of human language. The
goal is the combination of linguistic and statistical processing methods for
getting at the meaning of texts and utterances. The partners have adopted
Head-Driven Phrase Structure Grammar (HPSG) and Minimal Recursion Semantics
(MRS), two highly advanced and influential models of formal linguistic
analysis.
They have also committed themselves to a shared format for grammatical
representation and to a rigid scheme of evaluation, as well as to the
general use of open-source licensing.
The collaboration involves researchers from the following institutions:
- Bulgarian Academy of Science,
Linguistic Modeling Department
- Cambridge University (UK),
Computer Laboratory
- DFKI Saarbrücken GmbH (Germany),
Language Technology Lab (co-founder)
- Kyung Hee University (Korea),
School of English
- LORIA Nancy (France),
Langue et Dialogue
Research Team
- Melbourne University (Australia),
Language Technology
Group.
- NTT Communication Science
Laboratory (Japan),
Linguistic
Intelligence Research Group
- Nanyang Technological
University (Singapore),
Department of
Linguistics and Multilingual Studies
- Norwegian University of Science
and Technology (Norway),
Department of
Language and Communication Studies
- Saarland University (Germany),
Department for Computational
Linguistics
- Stanford University (US),
LinGO Laboratory at CSLI
(co-founder)
- Tokyo University (Japan),
Tsujii Laboratory
- University of Lisbon (Portugal),
Natural Language and Speech Group
- Universtitat de Barcelona (Spain),
Grup de Recerca Interuniversitari
en Aplicacions Lingüístiques (GRIAL)
- Universtitat Pompeu Fabra (Spain),
Institut Universitari de
Lingüística Aplicada (IULA)
- University of Oslo (Norway),
Language
Technology Group
- University of Sussex (UK),
School of Cognitive and
Computing Sciences
- University of Washington (US),
Computational Linguistics
Laboratory
The DELPH-IN collaboration is open to additional partners who share our
ambitious goals and commitments and who can dedicate the necessary resources to
the common task.
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