Learning at a distance I. Statistical learning of non-adjacent dependencies.

By Elissa L. Newport, Richard N. Aslin. Cognitive Psychology, 2004

721 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/079440eb38b931b14616ff39a1a5889373ff1673

How researchers see this paper

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

In Artificial Intelligence

In Developmental and Educational Psychology

In Experimental and Cognitive Psychology

Citations in the corpus

Toddlers encode similarities among novel words from meaningful sentences. (2015, positive): “Indeed, many theories purport that tracking this type of relationship is a crucial step in syntax acquisition (Gómez, 2002; Newport & Aslin, 2004).”
Three Exemplars Allow at Least Some Linguistic Generalizations: Implications for Generalization Mechanisms and Constraints (2008, positive): “This constraint on generalization over nonadjacent elements appears to apply to adults, children, and infants (Gómez, 2002; Newport & Aslin, 2004) and may, therefore, be one that is innate in humans and other animals.”
On the Meaning of Words and Dinosaur Bones: Lexical Knowledge Without a Lexicon (2009, background): “It is likely that human infants use a similar mechanism of statistically driven induction to learn word boundaries in continuous speech (Saffran, Aslin, & Newport, 1996) as well as patterns of a more rule-like nature (Gerken, 2006, 2007; Gomez & Gerken, 2000; Newport & Aslin, 2004).”
Naps Promote Abstraction in Language-Learning Infants (2006, background): “…between auxiliaries and inflections (‘‘is playing’’) or in number agreement (‘‘the birds in the tree are singing’’), and provides insight into the acquisition of long-distance relationships, a critical achievement in language development (Newport & Aslin, 2004; Santelmann & Jusczyk, 1998).”
Brain Potentials Reveal Discrete Stages of L2 Grammatical Learning (2010, background): “…given that recent behavioral research in statistical learning has demonstrated that adults can quickly extract certain kinds of regularities between linguistic elements when there is a high transition probability (Newport & Aslin, 2004; Saffran, 2001; Saffran, Johnson, Aslin, & Newport, 1999).”
The Recognition of Discontinuous Verbal Dependencies by German 19-Month-Olds: Evidence for Lexical and Structural Influences on Children's Early Processing Capacities (2006, methodology): “A proposal similar to ours was recently made by Newport and Aslin (2004).”
The surprising power of statistical learning: When fragment knowledge leads to false memories of unheard words (2009, background): “see why this is the case, consider the experiments by Peña et al. (2002) and Endress and Bonatti (2007).”
Phonetic learning as a pathway to language: new data and native language magnet theory expanded (NLM-e) (2008, background): “…comparative studies subsequently revealed many more similarities in human–animal speech perception (Kluender et al. 1987; Hauser et al. 2001, 2002b), and of equal importance, differences between human and animal perception and learning (Kuhl 1991b; Fitch & Hauser 2004; Newport & Aslin 2004).”
Regularizing Unpredictable Variation: The Roles of Adult and Child Learners in Language Formation and Change (2005, background): “…Hawaiian Creole may be an important exception to this generalization (Roberts, 1998). typical even of speakers who have had years of experience with the language, who use it on a regular basis, and whose grammars have stabilized (Adamson, 1988; Newport, 1984, 1990; Sorace, 1999,…”
Phonology impacts segmentation in online speech processing (2005, neutral): “However, this result contrasts with findings from an experiment using a very similar artificial grammar, by Newport & Aslin (2004).”
Infants rapidly learn word-referent mappings via cross-situational statistics. (2008, background): “…statistical learning of sequential probabilities, suggest that solutions to fundamental problems in learning language may be found by studying the statistical patterns in the learning environment and the statistical learning mechanisms in the learner (Newport & Aslin, 2004; Saffran et al., 1996).”
Rapid Word Learning Under Uncertainty via Cross-Situational Statistics (2007, background): “Like the present results, the findings on learning sequential probabilities and segmentation suggest that the solution to fundamental learning problems central to language may be found by studying the statistical patterns in the learning environment and the statistical learning mechanisms in the lea”
Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness (2009, positive): “…& Christiansen, 2005, 2006), in complex dynamic displays (Fiser, Scholl, & Aslin, 2007), over nonadjacent syllables (Pacton & Perruchet, 2008; Newport & Aslin, 2004), despite cover tasks (Turk-Browne et al., 2005), and without conscious awareness of the regularities (Turk-Browne et al.,…”