WORDEN: a PYTHON interface to automatic (non)word generation

Authors

  • Antonio Origlia Università di Napoli “Federico II”
  • Francesco Cangemi IfL Phonetik, University of Cologne https://orcid.org/0000-0003-1016-5178
  • Franco Cutugno Università di Napoli “Federico II”

DOI:

https://doi.org/10.17469/O2101AISV000030

Abstract

WORDEN is a PYTHON implementation of a knowledge engine containing data on the phonological structure of Italian words and on their frequency. These data are imported from the PHONITALIA database and used with a rules base to provide a formal description of the operations needed to generate words, nonsense words and phonological neighbourhoods for speech production and perception studies. The knowledge engine supports a wide number of queries from the command line but can also be used via a specifically designed graphical user interface. In this paper, we report the formal rules included in WORDEN and provide usage examples to illustrate the capabilities of the tool.

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Published

31-12-2015

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