Infant artificial language learning and language acquisition.

By Rebecca L. Gómez, L. Gerken. Trends in Cognitive Sciences, 2000

483 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/9d2da24748ecc4a4bf4ce998c6a3507d6635f855

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In Developmental and Educational Psychology

Citations in the corpus

Discovering linguistic structures in speech: models and applications (2014, background): “Without much guidance, infants gradually learn to interpret speech: distinguishing between individual phonemes [98, 48, 118, 31, 172], building phonemic categories specific to their native language [184, 18, 99], segmenting as well as categorizing syllables and words [160, 159, 108, 128, 96], associ”
The Recognition of Discontinuous Verbal Dependencies by German 19-Month-Olds: Evidence for Lexical and Structural Influences on Children's Early Processing Capacities (2006, background): “It would be that when adjacency fails to yield an analyzable pattern that the infant may be forced to expand his or her processing window (cf. Gomez & Gerken, 2000).”
Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008, unknown): “Similarly, Gomez and Gerken (2000) distinguish between " pattern-based " and " category-based " rules.”
Naps Promote Abstraction in Language-Learning Infants (2006, background): “Such languages enable precise assessment of what is learned, control for prior knowledge, and have proved useful in research on language development (Gómez & Gerken, 2000; Saffran, 2003).”
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).”
Phonetic learning as a pathway to language: new data and native language magnet theory expanded (NLM-e) (2008, background): “…many levels, including phonetic (Kuhl et al. 1992; Maye et al. 2002, in press), phonotactic ( Jusczyk et al. 1993, 1994), lexical (Goodsitt et al. 1993; Saffran et al. 1996) and syntactic (Gomez & Gerken 1999, 2000; Marcus et al. 1999; Peñ a et al. 2002; Bortfeld et al. 2005; Gerken et al. 2005).”
Unraveling the Dyad: Using Recurrence Analysis to Explore Patterns of Syntactic Coordination Between Children and Caregivers in Conversation (2006, background): “…have additionally proposed that the input need not necessarily be specially tailored, but is far from irrelevant: Statistical properties of language input are crucial for its acquisition (e.g., Gomez & Gerken, 2000; Maratsos & Chalkley, 1980; Redington, Chater, & Finch, 1998; Saffran, 2003).”
Early language acquisition: cracking the speech code (2004, background): “Gomez and colleagues played artificial word strings (for example, 'vot-pel-jic-rud-tam') to 12-month-olds for 50–127 s to investigate whether they could learn the rules that specified word orde”
Toddlers encode similarities among novel words from meaningful sentences. (2015, unknown): “Indeed, even much younger infants are highly skilled at learning co-occurrences from meaningless streams of syllables (e.g., Saffran & Wilson, 2003; see Gómez & Gerken, 2000, for a review).”
Language as shaped by the brain. (2008, background): “…subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. when two species with markedly different rates of adaptation enter a symbiotic relationship, the rapidly evolving species adapts to the slowly evolving one, but not the reverse (Frean & Abraham 2004).”
Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language (2008, methodology): “To get around these problems and to allow us to make a direct comparison with human language, we replicate the basic diffusionchain design with a more complex artificial-language learning task of labeling visual stimuli with strings of written syllables (25, 26).”
Do humans have two systems to track beliefs and belief-like states? (2009, background): “Direct investiga - tion of this question found evidence that belief reasoning was not automatic and suggested an important role for strategic control in theory - of - mind tasks ( Apperly , Riggs , Simpson , Chiavarino , & Samson , 2006 ; see also Saxe , Schultz , & Jiang , 2006 ) .”
Phonological sequence learning and short-term store capacity determine second language vocabulary acquisition (2004, background): “Infants manage this learning on the basis of statistical analysis of phonotactic sequences to determine “troughs” in the pattern of transitional probabilities between adjacent syllables (Gómez & Gerken, 2000).”
Statistical learning and language acquisition (2010, unknown): “This interpretation has been challenged from two directions: (1) that statistical learning mechanisms are actually sufficient to explain the transfer2,24–29 and (2) that repetition-detection is an automatic process of the auditory perceptual system.”
Why Use Music in English Language Learning? A Survey of the Literature. (2013, background): “There were a number of resource books about music use in the language classroom published in 1992 or immediately after, including Graham (1992), who created the concept of ‘Jazz Chants’, the rhythmic unison speaking of chants and poetry in the language classroom.”