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

Matteo Pellegrini; Alessandra Teresa Cignarella

doi:10.4000/books.aaccademia.8830

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

Matteo Pellegrini, Alessandra Teresa Cignarella

University of Turin

Risultato della ricerca: Contributo in libro › Contributo a convegno

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.

Lingua originale	English
Titolo della pubblicazione ospite	Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021
Pagine	341-346
Numero di pagine	6
DOI	https://doi.org/10.4000/books.aaccademia.8830
Stato di pubblicazione	Pubblicato - 2020
Evento	Seventh Italian Conference on Computational Linguistics CLiC-it 2020 - Bologna, Italy Durata: 1 mar 2021 → 3 mar 2021

Convegno

Convegno	Seventh Italian Conference on Computational Linguistics CLiC-it 2020
Città	Bologna, Italy
Periodo	1/3/21 → 3/3/21

Keywords

Entropy
Inflection
Paradigms
Predictability

Accesso al documento

10.4000/books.aaccademia.8830

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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, Inflection, Paradigms, Predictability, Entropy, Inflection, Paradigms, Predictability",

author = "Matteo Pellegrini and Cignarella, {Alessandra Teresa}",

year = "2020",

doi = "10.4000/books.aaccademia.8830",

language = "English",

isbn = "9791280136336",

pages = "341--346",

booktitle = "Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021",

note = "Seventh Italian Conference on Computational Linguistics CLiC-it 2020 ; Conference date: 01-03-2021 Through 03-03-2021",

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Pellegrini, M & Cignarella, AT 2020, (Stem and Word) Predictability in Italian verb paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI. in Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021. pagg. 341-346, Seventh Italian Conference on Computational Linguistics CLiC-it 2020, Bologna, Italy, 1/3/21. https://doi.org/10.4000/books.aaccademia.8830

(Stem and Word) Predictability in Italian verb paradigms: An Entropy-Based Study Exploiting the New Resource LeFFI. / Pellegrini, Matteo; Cignarella, Alessandra Teresa.
Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021. 2020. pag. 341-346.

Risultato della ricerca: Contributo in libro › Contributo a convegno

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AB - 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.

KW - Entropy

KW - Inflection

KW - Paradigms

KW - Predictability

KW - Entropy

KW - Inflection

KW - Paradigms

KW - Predictability

UR - http://hdl.handle.net/10807/235330

U2 - 10.4000/books.aaccademia.8830

DO - 10.4000/books.aaccademia.8830

M3 - Conference contribution

SN - 9791280136336

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EP - 346

BT - Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020: Bologna, Italy, March 1-3, 2021

T2 - Seventh Italian Conference on Computational Linguistics CLiC-it 2020

Y2 - 1 March 2021 through 3 March 2021

ER -

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

Abstract

Convegno

Keywords

Accesso al documento

Altri file e collegamenti

Fingerprint

Cita questo