The Use of Predictive Dependencies in Language Learning

By Jenny R. Saffran. 2001

273 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cultural Studies

View Paper: https://www.semanticscholar.org/paper/ce8db88f3ba292f36001f67bde48109cb0972d33

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 Cultural Studies

Citations in the corpus

Language as shaped by the brain. (2008, methodology): “…Peña et al. 2002); acquiring gender-like morphological systems (Brooks et al. 1993; Frigo & McDonald 1998); locating syntactic phrase boundaries (Saffran 2001; 2002); using function words to delineate phrases (Green 1979); integrating prosodic and morphological cues in the learning of phrase…”
Cross-linguistic transfer in literacy development and implications for language learners (2002, background): “CROSS-LINGUISTIC TRANSFER IN LITERACY DEVELOPMENT 195 the background ( Saffran, 2001 ).”
Constraints on Statistical Language Learning (2002, methodology): “The artificial grammars were adapted fro the languages used by Morgan and Newp (1981) and Saffran (2001); exposure senten are listed in Appendix 1.”
The Infant's Auditory World: Hearing, Speech, and the Beginnings of Language (2007, background): “, & Saffran, J. R. (2004). Infants’ acquisition of stress-based word segmentation strategies.”
Statistical Learning and Language: An Individual Differences Study (2012, background): “These types of statistical dependencies also have clear parallels within natural language structure, as sensitivity to adjacent dependencies is important for the discovery of the relationship between words within phrases and between the phrases themselves (e.g., Saffran, 2001),”
Constructions: a new theoretical approach to language. (2003, background): “... assumed [39]; analogical processes can be seen to be viable once function as well as form is taken into account [40,41]; there is good reason to think that children’s early grammar is quite conservative, with generalizations emerging only slowly [29,42,43]; and the ability to record transitional”
Infant sensitivity to distributional information can affect phonetic discrimination. (2002, background): “In addition to its probable role in speech perception, this sensitivity contributes to word segmentation (Saffran, 2001; Saffran, Aslin, & Newport, 1996; Saffran, Newport, & Aslin, 1996) and the acquisition of constraints on speech sound sequences (Jusczyk et al.”
Sources of Variability in Children’s Language Growth (2010, background): “…argue that variations in input are critical to language outcomes in children (e.g., Aslin, Saffran and Newport, 1999; Gomez and Gerken, 1999; Saffran 2001; Saffran and Wilson, 2003; Tomasello 2000), whereas nativists argue that individual variations in input are less important: in their…”
Connectionist models of cognitive development: where next? (2005, background): “Importantly, there is a growing empirical literature involving learning of artificial languages by infants and young children that is highly consistent with the type of learning embodied in the computational models (see [56, 57 ] for discussion of this work].”
The surprising power of statistical learning: When fragment knowledge leads to false memories of unheard words (2009, background): “…and thus for memorizing phonological word-candidates (e.g., Aslin, Saffran, & Newport, 1998; Cairns, Shillcock, Levy, & Chater, 1997; Elman, 1990; Goodsitt, Morgan, & Kuhl, 1993; Hayes & Clark, 1970; Saffran, 2001b; Saffran, Aslin, & Newport, 1996; Saffran, Newport, & Aslin, 1996; Swingley, 2005).”
AT THE INTERFACE: DYNAMIC INTERACTIONS OF EXPLICIT AND IMPLICIT LANGUAGE KNOWLEDGE (2005, unknown): “…in productive schematic linguistic constructions ~Bybee & Hopper, 2001; N+ Ellis, 2002a; Elman et al+, 1996; Langacker, 1987;MacWhinney, 1987b, 1999; Saffran, 2001; Tomasello, 1998, 2003!+ Implicit learning also forges serial associations, synthesizing collocations, larger formulas, and composite…”