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bohm2
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apeiron said:But then, what do we find the researchers actually think? Whoops, they want to explain the data with Bayesian models (which you will remember from that UCL speech, Chomsky dismissed as producing "zero results" like all statistical learning approaches )
I'm not a linguist to really judge this study but yes, I think they do see the value of both methods but the author is also supporting Chomsky's position versus Dunn's and Tomasello's stuff. This assumes that her conclusions are valid. For she writes:
Statistical Learning Constrained by Syntactic Biases in an Artificial Langauge Learning TaskTaken together, the results show that learners clearly make use of the input statistics in these artificial language learning experiments (as they have been shown to do in other such contexts). Learners can track the basic word order preferences in the training input, and they appear to be extremely sensitive to transitional probabilities equal to zero. However, prior structural biases not reflected in the input statistics also influence learning.The results further support a strong regularization bias, indicating that learners do not replicate the variability present in the input.
http://www.bcs.rochester.edu/people/jculbertson/papers/CulbertsonetalBUCLD36.pdf
And in another recent study she writes:
The hypothesis that universal constraints on human language learning strongly shape the space of human grammars has taken many forms, which differ on a number of dimensions including the locus, scope, experience-dependence, and ultimate source of such biases (Christiansen & Devlin,1997; Chomsky, 1965; Croft, 2001; Hawkins, 2004; Kirby, 1999; Lightfoot, 1991; Lindblom, 1986; Newmeyer, 2005; Newport & Aslin, 2004; Talmy, 2000; Tesar & Smolensky, 1998). However, the general hypothesis that language universals arise from biases in learning stands in contrast to hypotheses that place the source of explanation outside the cognitive system (Bybee, 20092; Dunn, Greenhill, Levinson, & Gray, 20113; Evans & Levinson, 20094)...If Universal 18’s substantive bias against a particular type of non-harmonic language is in fact specific to the language system, then the empirical findings reported here constitute clear evidence against recent claims that no such biases exist within cognition (Bybee, 2009; Dunn et al., 2011; Evans & Levinson, 2009; Goldberg, 2006; Levinson & Evans, 2010)...
To be more specific, the existence of typologically-relevant cognitive biases, and in particular the substantive L4 bias, is the primary conclusion we draw from the experimental results. Importantly, the finding that such biases exist on the time scale of our experiment—that is, revealed by individual participants in the course of a single experimental session—is not consistent with theories according to which typological asymmetries are the result of factors external to cognition. This includes theories which explain recurrent patterns as resulting from accidental geographic or cultural factors (Bybee, 2009; Dunn et al., 2011; Levinson & Evans, 2010, p. 2743), and those which hypothesize that functional factors induce asymmetries through language change across generations only (Bader, 2011, p. 345; Blevins & Garrett, 2004, p. 118; Christiansen & Chater, 2008; Levinson & Evans, 2010, p. 2738).
Learning biases predict a word order universal
http://www.bcs.rochester.edu/people/jculbertson/papers/Culbertsonetal11.pdf
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