gDelta: a missing link in the grammar engineering toolchain.

The development of precision grammars is an inherently resource-intensive process; their complexity means that changes made to one area of a grammar often introduce unexpected flow-on effects elsewhere in the grammar which may only be discovered after some time has been invested in updating numerous...

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Publicado en:Language Resources & Evaluation Vol. 49; no. 1; pp. 51 - 76
Autores principales: Letcher, Ned, Dridan, Rebecca, Baldwin, Timothy
Formato: Artículo
Publicado: Springer Nature Mar2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Letcher, Ned
          Dridan, Rebecca
          Baldwin, Timothy
        affil:
          Department of Computing and Information Systems, The University of Melbourne, Melbourne 3010 Australia
          Department of Informatics, University of Oslo, Oslo Norway
      su:
        Grammar
        Engineers
        Information science
        Information technology
        Information theory
      sug:
        subj:
          Grammar
          Engineers
          Information science
          Information technology
          Information theory
      keyword:
        Deep parsing
        Grammar diagnostics
        Grammar engineering
        Parse mining
        Precision grammar
      ab: The development of precision grammars is an inherently resource-intensive process; their complexity means that changes made to one area of a grammar often introduce unexpected flow-on effects elsewhere in the grammar which may only be discovered after some time has been invested in updating numerous test suite items. In this paper, we present the browser-based gDelta tool, which aims to provide grammar engineers with more immediate feedback on the impact of changes made to a grammar by comparing parser output from two different grammar versions. We describe an attribute weighting algorithm for highlighting components of the grammar that have been strongly impacted by a modification to the grammar, as well as a technique for clustering test suite items whose parsability has changed, in order to locate related groups of effects. These two techniques are used to present the grammar engineer with different views on the grammar to inform them of different aspects of change in a data-driven manner.
      pubtype: Academic Journal
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    language: English
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