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Dialectal variation in Spanish diminutives

A performance model

Bibliographic Data

ID19544449
AuthorsDavid Eddington (0000-0003-2329-1640, Brigham Young University, corresponding author)
Year2017
Volume10
Issue1
Pages39-66
Publication date2017-05-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStudies in Hispanic and Lusophone Linguistics (JOURNAL)
Journal identifiersISSN: 1939-0238 • E-ISSN: 2199-3386
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/shll-2017-0002
OpenAlexW2611743260
LanguageEN
Citations received3
References cited25

While the diminutive form of most Spanish words is invariant, a great deal of variation is found in bisyllabic words that either contain /je, we/ in the stem (e. g., viejo ‘old’ > viejito/viejecito, pueblo ‘town’ > pueblecito/pueblito ), or that end in /e/ (e. g., dulce ‘sweet’ > dulcecito/dulcito ), or that end in /jo, ja/ (e. g., rubio ‘blonde’ > rubiecito/rubito ). Data from the Corpus del Español indicate that in many cases both diminutive forms exist within a single country. This kind of variation has been accounted for in a number of competence-based studies. However, many of these studies, along with the entities and mechanisms they employ, are not designed to explain actual language processing. The purpose of the present study, on the other hand, is to present a performance model of diminutive formation that accounts for the observed variation. The model assumes that highly frequent diminutives have been lexicalized, and as a result, their production is a matter of lexical retrieval. In contrast, low frequency words are diminutivized based on analogy to the diminutive forms of words stored in the mental lexicon. A data set of existing diminutives in each country was extracted from the Corpus del Español . Using these data sets, a series of computational simulations was performed in order to predict the diminutive allomorphs. The model proved to be highly successful in correctly predicting the diminutives in each country

Diminutive · Lexicon · Linguistics · Mental lexicon · Natural language processing · Computer Science · Mathematics · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Spanish Linguistics and Language Studies

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Unique citing works3
Citations per year0,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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