Naslov: | Czech speakers learn and apply morphological dependencies : lecture at the University of Nova Gorica, Jezik & Linguistics Colloquia, Nova Gorica, 23. 11. 2023 |
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Avtorji: | ID Tabachnick, Guy (Avtor) |
Datoteke: | https://www.ung.si/en/research/center-for-cognitive-science-of-language/events/
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Neznano |
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Tipologija: | 3.25 - Druga izvedena dela |
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Organizacija: | UNG - Univerza v Novi Gorici
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Opis: | Theories of morphology must account for lexicalized variation: lexical items that differ unpredictably in their inflection must be memorized individually and differ in their stored representation. When tested on such cases, adult speakers usually follow the “law of frequency matching” (Hayes et al. 2009), extending gradient phonological patterns from the lexicon. In this talk, I present results from two wug tests showing that Czech speakers likewise extend gradient morphological patterns from the lexicon: that is, they productively apply correlations between inflected forms of the same word. I handle lexicalized variation using diacritic features marking lexical entries and propose that Czech speakers have learned a gradient cooccurrence relation between diacritic features, extending the sublexicon model of Gouskova et al. (2015). This approach accounts for phonological and morphological patterns with a unified mechanism. This approach provides an account of morphological dependencies in generative grammar compatible with a piece-based, syntactic theory like Distributed Morphology, responding to Ackerman and Malouf (2013) and others who criticize such theories for being unable to account for these morphological correlations. |
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Ključne besede: | morphology, psycholinguistics, inflection classes, nonce word study, frequency matching, morphological dependencies, Czech |
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Leto izida: | 2023 |
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PID: | 20.500.12556/RUNG-8923 |
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COBISS.SI-ID: | 187702019 |
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UDK: | 81 |
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NUK URN: | URN:SI:UNG:REP:GQYI4YZ8 |
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Datum objave v RUNG: | 05.03.2024 |
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Število ogledov: | 1520 |
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Število prenosov: | 2 |
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