Home

From DELPH-IN

Computational linguists from 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 advanced 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 and transparency.

The collaboration involves researchers from the following institutions:

• Bulgarian Academy of Science (Bulgaria), 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 Laboratories (Japan), Linguistic Intelligence Research Group

• Nanyang Technological University (Singapore), Division 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)

• University of Lisbon (Portugal), Natural Language and Speech Group

• Universtitat de Barcelona (Spain), Grup de Recerca Interuniversitari en Aplicacions Lingüístiques (GRIAL)

• CNRS & Université Paris Diderot (France), Laboratoire de Linguistique Formelle (UMR 7110)

• Universtitat Pompeu Fabra (Spain), Institut Universitari de Lingüística Aplicada (IULA)

• University of Oslo (Norway), Language Technology Group

• University of Sussex (UK), Cognitive and Language Processing Systems Group

• 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.