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(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  

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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
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Matteo Pellegrini, Alessandra Teresa Cignarella. "(Stem and Word) Predictability in Italian Verb Paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI." Italian Conference on Computational Linguistics (2020)