意大利语动词范式的可预测性:基于熵的新资源LeFFI的研究

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020 Pub Date : 1900-01-01 DOI:10.4000/books.aaccademia.8830

Matteo Pellegrini, A. T. Cignarella

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引用次数: 2

摘要

英语。在本文中，我们提出了一个列有2053个动词的所有可用词形的意大利语屈折词典LeFFI。然后，我们使用该资源对意大利语动词范式中词形的相互可预测性进行了基于熵的分析，并将我们的发现与之前关于意大利语动词屈折词干可预测性的研究结果进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

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