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Statistically gradient generalizations for contrastive phonological features

Dados Bibliográficos

ID20344221
AutoresMirjam Theresia Constantia Ernestus (0000-0002-1853-0750, Max Planck Society, autor correspondente), Mirjam Ernestus
Ano2006
Volume23
Fascículo3
Data de publicação2006-01-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoThe Linguistic Review (JOURNAL)
Identificadores do periódicoISSN: 0167-6318 • E-ISSN: 1613-3676
EditoraWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/tlr.2006.008
OpenAlexW2160617323
IdiomaEN
Citações recebidas1
Referências citadas19

In mainstream phonology, contrastive properties, like stem-final voicing, are simply listed in the lexicon. This article reviews experimental evidence that such contrastive properties may be predictable to some degree and that the relevant statistically gradient generalizations form an inherent part of the grammar. The evidence comes from the underlying voice specification of stem-final obstruents in Dutch. Contrary to received wisdom, this voice specification is partly predictable from the obstruent's manner and place of articulation and from the phonological properties of the preceding segments. The degree of predictability, which depends on the exact contents of the lexicon, directs speakers' guesses of underlying voice specifications. Moreover, existing words that disobey the generalizations are disadvantaged by being recognized and produced more slowly and less accurately, also under natural conditions. We discuss how these observations can be accounted for in two types of different approaches to grammar, Stochastic Optimality Theory and exemplar-based modeling

Consonant · Grammar · Lexicon · Linguistics · Obstruent · Optimality theory · Phonological rule · Phonology · Phonotactics · Place of articulation · Voice · Vowel · Computer Science · History · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Psychology · Speech Recognition and Synthesis

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Obras citantes distintas1
Citações por ano0,08
Intervalo de citações2014 - 2014 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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