David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Cognitive Science 36 (5):933-947 (2012)
The roles of linguistic, cognitive, and social-pragmatic processes in word learning are well established. If statistical mechanisms also contribute to word learning, they must interact with these processes; however, there exists little evidence for such mechanistic synergy. Adults use co-occurrence statistics to encode speech–object pairings with detailed sensitivity in stochastic learning environments (Vouloumanos, 2008). Here, we replicate this statistical work with nonspeech sounds and compare the results with the previous speech studies to examine whether exclusion constraints contribute equally to the statistical learning of speech–object and nonspeech–object associations. In environments in which performance could benefit from exclusion, we find a learning advantage for speech over nonspeech, revealing an interaction between statistical and exclusion processes in associative word learning
|Keywords||Exclusion constraints Language acquisition Learning mechanisms Word learning Mutual exclusivity Statistical learning|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Erik D. Thiessen (2010). Effects of Visual Information on Adults' and Infants' Auditory Statistical Learning. Cognitive Science 34 (6):1093-1106.
Sumarga H. Suanda & Laura L. Namy (2012). Detailed Behavioral Analysis as a Window Into Cross-Situational Word Learning. Cognitive Science 36 (3):545-559.
Fei Xu & Joshua B. Tenenbaum (2001). Rational Statistical Inference: A Critical Component for Word Learning. Behavioral and Brain Sciences 24 (6):1123-1124.
Erik D. Thiessen & Philip I. Pavlik (2013). iMinerva: A Mathematical Model of Distributional Statistical Learning. Cognitive Science 37 (2):310-343.
Keith S. Apfelbaum & Bob McMurray (2011). Using Variability to Guide Dimensional Weighting: Associative Mechanisms in Early Word Learning. Cognitive Science 35 (6):1105-1138.
Heather Bortfeld (2004). Which Came First: Infants Learning Language or Motherese? Behavioral and Brain Sciences 27 (4):505-506.
George Kachergis, Chen Yu & Richard M. Shiffrin (2013). Actively Learning Object Names Across Ambiguous Situations. Topics in Cognitive Science 5 (1):200-213.
Hjalmar K. Turesson & Asif A. Ghazanfar (2012). Statistical Learning of Social Signals and its Implications for the Social Brain Hypothesis. Interaction Studies 12 (3):397-417.
Linda B. Smith, Eliana Colunga & Hanako Yoshida (2010). Knowledge as Process: Contextually Cued Attention and Early Word Learning. Cognitive Science 34 (7):1287-1314.
Aarre Laakso & Paco Calvo (2011). How Many Mechanisms Are Needed to Analyze Speech? A Connectionist Simulation of Structural Rule Learning in Artificial Language Acquisition. Cognitive Science 35 (7):1243-1281.
David Corfield, Bernhard Schölkopf & Vladimir Vapnik (2009). Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions. [REVIEW] Journal for General Philosophy of Science 40 (1):51 - 58.
Sandra R. Waxman (2001). Word Extension: A Key to Early Word Learning and Domain-Specificity. Behavioral and Brain Sciences 24 (6):1121-1122.
Paul Bloom (2001). Précis of How Children Learn the Meanings of Words. Behavioral and Brain Sciences 24 (6):1095-1103.
Marc Ettlinger, Amy S. Finn & Carla L. Hudson Kam (2011). The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal. Cognitive Science 36 (4):655-673.
A. Vinter & P. Perruchet (1997). Relational Problems Are Not Fully Solved by a Temporal Sequence of Statistical Learning Episodes. Behavioral and Brain Sciences 20 (1):82-82.
Added to index2012-07-04
Total downloads5 ( #176,133 of 1,008,783 )
Recent downloads (6 months)1 ( #64,700 of 1,008,783 )
How can I increase my downloads?