(Stem and Word) Predictability in Italian Verb Paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI

Matteo Pellegrini, Alessandra Teresa Cignarella
2020 Italian Conference on Computational Linguistics  
English. In this paper we present LeFFI, an inflected lexicon of Italian listing all the available wordforms of 2,053 verbs. We then use this resource to perform an entropy-based analysis of the mutual predictability of wordforms within Italian verb paradigms, and compare our findings to the ones of previous work on stem predictability in Italian verb inflection.
dblp:conf/clic-it/PellegriniC20 fatcat:i7cggvyyzjfe3cggzfu3r5hm7u