Variability and Detection of Invariant Structure

Two experiments investigated learning of nonadjacent dependencies by adults and 18-month-olds. Each learner was exposed to three-element strings (e.g., pel-kicey-jic) produced by one of two artificial languages. Both languages contained the same adjacent dependencies, so learners could distinguish the languages only by acquiring dependencies between the first and third elements (the nonadjacent dependencies). The size of the pool from which the middle elements were drawn was systematically varied to investigate whether increasing variability (in the form of decreasing predictability between adjacent elements) would lead to better detection of nonadjacent dependencies. Infants and adults acquired nonadjacent dependencies only when adjacent dependencies were least predictable. The results point to conditions that might lead learners to focus on nonadjacent versus adjacent dependencies and are important for suggesting how learning might be dynamically guided by statistical structure.

[1]  Martin D. S. Braine,et al.  The insufficiency of a finite state model for verbal reconstructive memory , 1965 .

[2]  Steven Pinker,et al.  Language learnability and language development , 1985 .

[3]  James L. McClelland,et al.  Learning the structure of event sequences. , 1991, Journal of experimental psychology. General.

[4]  Edward S. Reed,et al.  An Odyssey in Learning and Perception. , 1992 .

[5]  Tim Curran,et al.  Attentional and Nonattentional Forms of Sequence Learning , 1993 .

[6]  Peder J. Johnson,et al.  Assessing implicit learning with indirect tests: Determining what is learned about sequence structure. , 1994 .

[7]  P. Jusczyk,et al.  The head-turn preference procedure for testing auditory perception , 1995 .

[8]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[9]  E. Newport,et al.  WORD SEGMENTATION : THE ROLE OF DISTRIBUTIONAL CUES , 1996 .

[10]  R. Gómez,et al.  Transfer and Complexity in Artificial Grammar Learning , 1997, Cognitive Psychology.

[11]  E. Newport,et al.  PSYCHOLOGICAL SCIENCE Research Article INCIDENTAL LANGUAGE LEARNING: Ustening (and Learning) out of the Comer of Your Ear , 2022 .

[12]  E. Newport,et al.  Computation of Conditional Probability Statistics by 8-Month-Old Infants , 1998 .

[13]  Roger W. Schvaneveldt,et al.  Attention and probabilistic sequence learning , 1998 .

[14]  P. Jusczyk,et al.  Sensitivity to discontinuous dependencies in language learners: evidence for limitations in processing space , 1998, Cognition.

[15]  Peter M. Vishton,et al.  Rule learning by seven-month-old infants. , 1999, Science.

[16]  Elizabeth K. Johnson,et al.  Statistical learning of tone sequences by human infants and adults , 1999, Cognition.

[17]  R. Gómez,et al.  Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge , 1999, Cognition.

[18]  R. Gómez,et al.  Infant artificial language learning and language acquisition , 2000, Trends in Cognitive Sciences.

[19]  M. Hauser,et al.  Segmentation of the speech stream in a non-human primate: statistical learning in cotton-top tamarins , 2001, Cognition.

[20]  Elissa L. Newport,et al.  Innately Constrained Learning: Blending Old and New Approaches to Language Acquisition , 2001 .

[21]  R. Aslin,et al.  Statistical learning of higher-order temporal structure from visual shape sequences. , 2002, Journal of experimental psychology. Learning, memory, and cognition.

[22]  Richard I. Ivry,et al.  Attention and Structure in Sequence Learning , 2004 .