Speech segmentation by statistical learning depends on attention.

By J. M. Toro, S. Sinnett, Salvador Soto-Faraco. Cognition, 2005

303 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Implicit learning and statistical learning: one phenomenon, two approaches. (2006, methodology): “This has been observed in standard word segmentation tasks [ 25 ] as well as in paradigms using visual shapes [8,26].”
A Bayesian framework for word segmentation: exploring the effects of context. (2009, unknown): “…that strategies based on statistical sequencing information are a crucial first step in bootstrapping word segmentation (Thiessen and Saffran, 2003), and have provoked a great deal of interest in these strategies (Saffran et al., 1996b; Saffran et al., 1996a; Aslin et al., 1998; Toro et al., 2005).”
Statistical learning of language: Theory, validity, and predictions of a statistical learning account of language acquisition (2015, background): “In particular, attention will be the driving factor, which is consistent with evidence that statistical learning cannot proceed in the absence of attention (Baker et al., 2004; Toro et al., 2005).”