A Complementary Systems Account of Word Learning in L1 and L2

We review a body of behavioral and neuroimaging research relating to the acquisition and integration of novel words. An important outcome from this research is that different aspects of knowledge associated with learning a new word become established over different time scales. We suggest that the temporal dissociations found in word learning are due to the application of and interaction between complementary learning systems in the brain, with rapidly acquired episodic representations stored via the medial temporal lobes and slower learning supported by neocortical systems. We discuss the implications of this model for understanding the earliest stages of learning a novel word and for learning words in a second language.

[1]  B. McNaughton,et al.  Declarative memory consolidation in humans: a prospective functional magnetic resonance imaging study. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Bob McMurray,et al.  Defusing the Childhood Vocabulary Explosion , 2007, Science.

[3]  F. N. Dempster,et al.  Effects of variable encoding and spaced presentations on vocabulary learning. , 1987 .

[4]  Michael J. Spivey,et al.  Competing activation in bilingual language processing: Within- and between-language competition , 2003, Bilingualism: Language and Cognition.

[5]  J. Csicsvari,et al.  Communication between neocortex and hippocampus during sleep in rodents , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[6]  M. Gaskell,et al.  Spaced learning and the lexical integration of novel words , 2009 .

[7]  Padraic Monaghan,et al.  Language Abstraction: Consolidation of Language Structure During Sleep , 2008 .

[8]  J. Born,et al.  Sleep inspires insight , 2004, Nature.

[9]  S. Goldinger A COMPLEMENTARY-SYSTEMS APPROACH TO ABSTRACT AND EPISODIC SPEECH PERCEPTION , 2007 .

[10]  R. Stickgold,et al.  Sleep, memory, and plasticity. , 2006, Annual review of psychology.

[11]  V. Marian,et al.  Constraints on parallel activation in bilingual spoken language processing: Examining proficiency and lexical status using eye-tracking , 2007 .

[12]  W. Ganong Phonetic categorization in auditory word perception. , 1980, Journal of experimental psychology. Human perception and performance.

[13]  P. Luce,et al.  Examining the time course of indexical specificity effects in spoken word recognition. , 2005, Journal of experimental psychology. Learning, memory, and cognition.

[14]  J. Bowers,et al.  Preserved Implicit Knowledge of a Forgotten Childhood Language , 2009, Psychological science.

[15]  R. O’Reilly,et al.  Opinion TRENDS in Cognitive Sciences Vol.6 No.12 December 2002 , 2022 .

[16]  Rebecca L. Gómez,et al.  Naps Promote Abstraction in Language-Learning Infants , 2006, Psychological science.

[17]  K. Jellinger Processes of Change in Brain and Cognitive Development Attention and Performance XXI , 2007 .

[18]  Jessica D. Payne,et al.  Human relational memory requires time and sleep , 2007, Proceedings of the National Academy of Sciences.

[19]  M. Gaskell,et al.  Lexical competition and the acquisition of novel words , 2003, Cognition.

[20]  W. Marslen-Wilson,et al.  Mechanisms of phonological inference in speech perception. , 1998, Journal of experimental psychology. Human perception and performance.

[21]  S. Mattys,et al.  Lexical activity in speech processing: Evidence from pause detection , 2002 .

[22]  Stephen Grossberg,et al.  A massively parallel architecture for a self-organizing neural pattern recognition machine , 1988, Comput. Vis. Graph. Image Process..

[23]  Peter Indefrey,et al.  Lexical Competition in Nonnative Speech Comprehension , 2010, Journal of Cognitive Neuroscience.

[24]  Jeffrey S Bowers,et al.  Teaching adults new words: the role of practice and consolidation. , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[25]  Natalie D. Snoeren,et al.  The perception of assimilation in newly learned novel words. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[26]  A. Baddeley,et al.  The phonological loop as a language learning device. , 1998, Psychological review.

[27]  M. Tanenhaus,et al.  The time course of spoken word learning and recognition: studies with artificial lexicons. , 2003, Journal of experimental psychology. General.

[28]  H. Pashler,et al.  Distributed practice in verbal recall tasks: A review and quantitative synthesis. , 2006, Psychological bulletin.

[29]  M. Gaskell,et al.  Sleep-Associated Changes in the Mental Representation of Spoken Words , 2007, Psychological science.

[30]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[31]  A. Samuel,et al.  Lexical configuration and lexical engagement: When adults learn new words , 2007, Cognitive Psychology.

[32]  Jan Born,et al.  Implicit Learning–Explicit Knowing: A Role for Sleep in Memory System Interaction , 2006, Journal of Cognitive Neuroscience.

[33]  Daniel Margoliash,et al.  Consolidation of sensorimotor learning during sleep. , 2008, Learning & memory.

[34]  William D. Marslen-Wilson,et al.  Integrating Form and Meaning: A Distributed Model of Speech Perception. , 1997 .

[35]  Matthew H. Davis,et al.  Learning and Consolidation of Novel Spoken Words , 2009, Journal of Cognitive Neuroscience.

[36]  David B. Pisoni,et al.  Similarity neighborhoods of spoken words , 1991 .

[37]  M. Gareth Gaskell,et al.  A Day in the Life of a Spoken Word , 2004 .

[38]  Robert M. French,et al.  Pseudopatterns and dual-network memory models: Advantages and shortcomings , 2000, NCPW.

[39]  Jakke Tamminen,et al.  Short Article: Newly Learned Spoken Words Show Long-Term Lexical Competition Effects , 2008, Quarterly journal of experimental psychology.

[40]  Dorothy Tse,et al.  References and Notes Supporting Online Material Materials and Methods Figs. S1 to S5 Tables S1 to S3 Electron Impact (ei) Mass Spectra Chemical Ionization (ci) Mass Spectra References Schemas and Memory Consolidation Research Articles Research Articles Research Articles Research Articles , 2022 .

[41]  D. Norris,et al.  Perceptual learning in speech , 2003, Cognitive Psychology.

[42]  Arthur G. Samuel,et al.  The effect of age of second language acquisition on the representation and processing of second language words , 2004 .

[43]  Matthew H. Davis,et al.  A complementary systems account of word learning: neural and behavioural evidence , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[44]  Justin C. Hulbert,et al.  Interfering with Theories of Sleep and Memory: Sleep, Declarative Memory, and Associative Interference , 2006, Current Biology.

[45]  B. McNaughton,et al.  Replay of Neuronal Firing Sequences in Rat Hippocampus During Sleep Following Spatial Experience , 1996, Science.

[46]  H. Nusbaum,et al.  Consolidation during sleep of perceptual learning of spoken language , 2003, Nature.

[47]  Thomas Wolbers,et al.  Hippocampus activity differentiates good from poor learners of a novel lexicon , 2005, NeuroImage.

[48]  J. Born,et al.  Sleep after learning aids memory recall. , 2006, Learning & memory.

[49]  Antoni Rodríguez-Fornells,et al.  Functional Neuroanatomy of Meaning Acquisition from Context , 2008, Journal of Cognitive Neuroscience.

[50]  Jeffrey S. Bowers,et al.  Interfering neighbours: The impact of novel word learning on the identification of visually similar words , 2005, Cognition.

[51]  A. Weber,et al.  Lexical competition in non-native spoken-word recognition , 2004 .

[52]  L. Nadel,et al.  Memory consolidation, retrograde amnesia and the hippocampal complex , 1997, Current Opinion in Neurobiology.

[53]  D Marr,et al.  Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[54]  Michael McCloskey,et al.  Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem , 1989 .