Hybrid Method for Stress Prediction Applied to GLAFF-IT, a Large-Scale Italian Lexicon

  • Basilio Calderone
  • Matteo Pascoli
  • Franck Sajous
  • Nabil Hathout
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10318)

Abstract

This paper presents a hybrid method for automatic stress prediction that we apply to GLAFF-IT, a large-scale Italian lexicon we extracted from GLAW-IT, a Machine-Readable Dictionary grounded on Wikizionario. Our approach combines heuristic rules and a logistic model trained on the words’ sets of phonological features. This model reaches a 98.1% accuracy. The resulting resource is a large lexicon for the Italian language that we release under a free licence. It includes morphological and phonological information for each of its 457,702 entries. As of today, it is the only Italian lexicon featuring both large coverage and indication of stress position.

Keywords

Italian stress prediction Phonological transcriptions Free large-scale lexicon Wiktionary Wikizionario 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Basilio Calderone
    • 1
  • Matteo Pascoli
    • 1
  • Franck Sajous
    • 1
  • Nabil Hathout
    • 1
  1. 1.CLLE-ERSS (CNRS and Université de Toulouse 2)Toulouse Cedex 9France

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