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Hayes_Zuraw_Language_2009.pdf
NATURAL AND UNNATURAL CONSTRAINTS IN
HUNGARIAN VOWEL HARMONY
BRUCE HAYES KIE ZURAW
University of California, Los Angeles University of California, Los Angeles
´ ´
PETER SIPTAR ZSUZSA LONDE
´
Eotvos Lorand University University of California, Los Angeles
¨ ¨
Budapest and Hungarian
Academy of Sciences
Phonological constraints can, in principle, be classified according to whether they are natural
(founded in principles of universal grammar (UG)) or unnatural (arbitrary, learned inductively
from the language data). Recent work has used this distinction as the basis for arguments about
the role of UG in learning. Some languages have phonological patterns that arguably reflect
unnatural constraints. With experimental testing, one can assess whether such patterns are actually
learned by native speakers. Becker, Ketrez, and Nevins (2007), testing speakers of Turkish, suggest
that they do indeed go unlearned. They interpret this result with a strong UG position: humans
are unable to learn data patterns not backed by UG principles.
This article pursues the same research line, locating similarly unnatural data patterns in the
vowel harmony system of Hungarian, such as the tendency (among certain stem types) for a final
bilabial stop to favor front harmony. Our own test leads to the opposite conclusion of Becker
and colleagues’: Hungarians evidently do learn the unnatural patterns.
To conclude we consider a bias account—that speakers are able to learn unnatural environments,
but devalu
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