Machine Learning Models for Measuring Syntax Complexity of English Text

Giosue' Lo Bosco, Giovanni Pilato, Daniele Schicchi, Giosué Lo Bosco, Daniele Schicchi, Giovanni Pilato

Risultato della ricerca: Conference contribution

1 Citazioni (Scopus)

Abstract

In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one
Lingua originaleEnglish
Titolo della pubblicazione ospiteBiologically Inspired Cognitive Architectures 2019, Proceedings of the Tenth Annual Meeting of the BICA Society
Pagine449-454
Numero di pagine6
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomeADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cita questo

Lo Bosco, G., Pilato, G., Schicchi, D., Lo Bosco, G., Schicchi, D., & Pilato, G. (2019). Machine Learning Models for Measuring Syntax Complexity of English Text. In Biologically Inspired Cognitive Architectures 2019, Proceedings of the Tenth Annual Meeting of the BICA Society (pagg. 449-454). (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING).