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Visual Tools for Natural Language Processing
Affiliation:1. School of Kinesiology, Auburn University, 301 Wire Road, AL 36849, USA;2. CAPES Foundation, Ministry of Education of Brazil, Brasilia, DF 70040-020, Brazil;3. Department of Health, Kinesiology, and Recreation, University of Utah, USA;4. Department of Physical Therapy and Athletic Training, University of Utah, USA;1. Chalmers and the University of Gothenburg, Gothenburg SE-412 96, Sweden;2. Blekinge Institute of Technology, Karlskrona SE-371 79, Sweden;3. Universitá della Svizzera italiana, Lugano CH-6900, Switzerland;1. School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;2. School of Music Studies, Aristotle University of Thessaloniki, Thessaloniki, Greece;3. Department of Management Science and Technology, Athens University of Economics and Business, Greece;1. Media Technology and System (MTS) Lab., School of Computer Software, Tianjin University, Tianjin 300350, China;2. Centre for Excellence in Signal and Image Processing, University of Strathclyde, Glasgow, U.K.;3. School of Computer Science and Technology, Tianjin University, Tianjin 300350, China;4. Research Institute for Future Media Computing, College of Computer Science & Software Engineering, Shenzhen University, Shenzhen 518060, China
Abstract:We describe GATE, the General Architecture for Text Engineering, an integrated visual development environment to support the visual assembly, execution and analysis of modular natural language processing systems. The visual model is an executable data flow program graph, automatically synthesised from data dependency declarations of language processing modules. The graph is then directly executable: modules are run interactively in the graph, and results are accessible via generic text visualisation tools linked to the modules. These tools lighten the ‘cognitive load’ of viewing and comparing module results by relating data produced by modules back to the underlying text, by reducing the amount of search in examining results, and by displaying results in context. Overall, the GATE integrated visual development environment leads to rapid understanding of system behaviour and hence to rapid system refinement, therefore demonstrating the utility of visual programming and visualisation techniques for the development of natural language processing systems.
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