@inproceedings{c59ff2b8f125462fae50df154d032ad6,
title = "(Stem and word) predictability in Italian verb paradigms: An entropy-based study exploiting the new resource Leffi",
abstract = "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.",
keywords = "Entropy, Lexicon, Morphology, Predictability, Entropy, Lexicon, Morphology, Predictability",
author = "Matteo Pellegrini and Cignarella, {Alessandra Teresa}",
year = "2020",
language = "English",
series = "CEUR WORKSHOP PROCEEDINGS",
pages = "1--6",
booktitle = "CEUR Workshop Proceedings",
note = "7th Italian Conference on Computational Linguistics, CLiC-it 2020 ; Conference date: 01-03-2021 Through 03-03-2021",
}