DEEP LINGUISTIC PROCESSING WITH HPSG

Computational linguists of several research sites 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.

The collaboration involves researchers from the following institutions:

• 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), Machine Translation Research Group
• Norwegian University of Science and Technology (Norway), Computer Science and Linguistics
• 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.