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The Surfeit of the Stimulus

Analytic Biases Filter Lexical Statistics in Turkish Laryngeal Alternations

Bibliographic Data

ID3029285
AuthorsMichael Becker (0000-0002-7983-6382, University of Toronto), Nihan Ketrez (University of Toronto), Andrew Nevins (0000-0001-5318-5596, University of Toronto)
Year2011
Volume87
Issue1
Pages84-125
Publication date2011-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage (JOURNAL)
Journal identifiersISSN: 0097-8507 • E-ISSN: 1535-0665
PublisherProject MUSE (PUBLISHER • US)
DOI10.1353/lan.2011.0016
OpenAlexW2037202300
LanguageEN
Citations received75
References cited68

In an experimental task with novel words, we find that some lexical statistical regularities of Turkish phonotactics are productively extended in nonce words, while others are not. In particular, while laryngeal alternation rates in the lexicon can be predicted by the place of articulation of the stem-final stop, by word-length, and by the preceding vowel quality, this laryngeal alternation is only productively conditioned by place of articulation and word-length. Speakers' responses in a novel word task demonstrate that although they are attuned to the place of articulation and size effects, they ignore preceding vowels, even though the lexicon contains this information in abundance. We interpret this finding as evidence that speakers distinguish between phonologically motivated generalizations and accidental generalizations. We propose that universal grammar (UG), a set of analytic biases, acts as a filter on the generalizations that humans can make: UG contains information about possible and impossible interactions between phonological elements. Omnivorous statistical models that do not have information about possible interactions incorrectly reproduce accidental generalizations, thus failing to model speakers' behavior

Alternation (linguistics · Lexicon · Linguistics · Natural language processing · Phonology · Phonotactics · Phrase · Turkish · Vowel harmony · Computer Science · Music and Audio Processing · Phonetics and Phonology Research · Psychology · Speech Recognition and Synthesis

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