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This page collects a number of pointers to on-going activities, research groups, and general topics that relate to the DELPH-IN effort in one way or another. DELPH-IN members, naturally, are not alone in their ongoing R&D programme towards precise, practical natural language processing. Links are provided in lexicographic order.

  • The Attribute Logic Engine (ALE), developed by Bob Carpenter and Gerald Penn since the early 1990s: one of the early wide-spread computational tools (based on Prolog) for the development of typed feature structure grammars and still in active use in several research efforts.
  • The Algorithms for Linguistic Processing (ALPINO) project at Groningen University (The Netherlands): building a development and processing environment for HPSG implementations, a comprehensive grammar of Dutch, a dependency treebank (of Dutch newspaper text), and related technology.
  • Edify Corporation of Santa Clara (CA),a global provider of multi-channel enterprise CRM software that enables organizations to fully automate and improve customer service processes: Edify, an industrial affiliate to CSLI at Stanford University, has embedded DELPH-IN technology and resources in its Edify 8 eCRM flagship product.
  • The Norwegian LOGON Consortium, including Oslo (coordinator) and Bergen Universities and the Norwegian University of Science and Technology (NTNU, a DELPH-IN member): the consortium develops a Norwegian to English machine translation system, based on a semantic transfer approach and using MRS and DELPH-IN technology for transfer and generation.
  • The MiLCA project, involving Tübingen (Germany), Ohio State (US), and Toronto (Canada) Universities, among others: developing an extension to ALE (see above) as a development environment for HPSG grammars using ‘rich’ constraints and porting the LinGO ERG into this formalism; focusing on linguistic adequacy more than on processing efficiency.
  • The Natural Language Theory and Technology (NLTT) group at the Palo Alto Research Center (PARC) and associated partners: working within the LFG framework but in several ways similar to DELPH-IN; developing the XLE grammar development and processing software and, in the Parallel Grammar (ParGram) project, implementing grammars of several languages; NLTT and ParGram resources are not publicly available, though.
  • The Robust Accurate Statistical Parsing (RASP) project at Cambridge and Sussex Universities (UK): integrating and extending several strands of research on robust statistical parsing and automated grammar and lexicon induction, in order to develop and distribute a new, parsing toolkit for English.
  • The WhiteBoard project at DFKI Saarbrücken GmbH (Germany): pursueing basic research into architectures and methodologies for the combination of ‘deep’ and ‘shallow’ approaches to natural language analysis; building an XML-based software environment for multi-layer linguistic annotation.
  • If you feel your own research group or others should be included on this page, please contact us at
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