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.
Pellegrini, M., Cignarella, A. T., (Stem and Word) Predictability in Italian verb paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI, Comunicazione, in Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021, (Bologna, Italy, 01-03 March 2021), aAccademia University Press, Torino 2020: 341-346. 10.4000/books.aaccademia.8830 [https://hdl.handle.net/10807/235330]
(Stem and Word) Predictability in Italian verb paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI
Pellegrini, Matteo;
2020
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.
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