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Lingue e Linguaggi
Article . 2015
Data sources: DOAJ
Unitus DSpace
Article . 2020
License: CC BY NC ND
Data sources: Unitus DSpace
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La polisemia nel vocabolario di base dell'Italiano

Authors: Casadei, Federica;

La polisemia nel vocabolario di base dell'Italiano

Abstract

The existence of a relationship between frequency and polysemy in words is well known in statistical linguistics. Nevertheless, few data are available on the amount of polysemy in high-frequency words across languages, and no systematic investigation of the Italian lexicon has been carried out so far. This paper presents a detailed analysis of the number and types of senses of the about 7,000 highest frequency lexemes that constitute the basic vocabulary in Italian (vocabolario di base, VDB). Data confirm that frequency and polysemy are strongly related: the percentage of polysemic words in VDB (89%) is much greater than in the overall lexicon (19%); and within VDB, too, changes in frequency correlate with growth in polysemy. Verbs are found to be more polysemic than nouns, in the sense that there are less monosemic verbs than nouns; however, polysemic verbs and nouns give rise to a similar amount of senses (average number of senses is 7.3 in verbs and 6.6 in nouns). The crucial difference between verbs and nouns is to be found in the type, more than in the number, of their senses. In both classes the largest number of senses belongs to the area of basic/common vocabulary, but this area covers 77% of verb senses vs. 55% of noun senses. On the contrary, in nouns 34% of senses (vs. 8% in verbs) belong to the area of technical-scientific vocabulary, and 67% of nouns have at least one technical-scientific sense.

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Country
Italy
Related Organizations
Keywords

Senses, polysemy; senses; word frequency; statistical linguistics; vocabolario di base, L-LIN/01, Language and Literature, vocabolario di base, Statistical Linguistics, Word Frequency, P, Polysemy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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