Rhythm-based authorship recognition in syllabic and accentual-syllabic verse

This contribution explores the extent to which rhythm-based features of poetic texts can contribute meaningfully authorship recognition. We show that, although a binary categorization languages as syllabic vs. accentual-syllabic fails fully explain differences. However, once we formalize accentual regularity continuum, our analysis shows that attribution results improve move from most least accentually regular languages. result supports hypothesis is an inhibiting factor in long understood continuous property.