How do children acquire the meaning of words? And why are words such as know harder for learners to acquire than words such as dog or jump? We suggest that the chief limiting factor in acquiring the vocabulary of natural languages consists not in overcoming conceptual difficulties with abstract word meanings but rather in mapping these meanings onto their corresponding lexical forms. This opening premise of our position, while controversial, is shared with some prior approaches. The present discussion moves forward (...) from there to a detailed proposal for how the mapping problem for the lexicon is solved, as well as a presentation of experimental findings that support this account. We describe an overlapping series of steps through which novices move in representing the lexical forms and phrase structures of the exposure language, a probabilistic multiple-cue learning process known as syntactic bootstrapping. The machinery is set in motion by word-to-world pairing, a procedure available to novices from the.. (shrink)

We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under many conditions extracted from (...) naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest. (shrink)

What role does language play during attention allocation in perceiving and remembering events? We recorded adults‟ eye movements as they studied animated motion events for a later recognition task. We compared native speakers of two languages that use different means of expressing motion (Greek and English). In Experiment 1, eye movements revealed that, when event encoding was made difficult by requiring a concurrent task that did not involve language (tapping), participants spent extra time studying what their language treats as the (...) details of the event. This „linguistic encoding‟ effect was eliminated both when event encoding was made easier (no concurrent task) and when the concurrent task required the use of language (counting aloud). In Experiment 2, under conditions of a delayed concurrent task of counting aloud, participants used language covertly just prior to engaging in the additional task. Together, the results indicate that language can be optionally recruited for encoding events, especially under conditions of high cognitive load. Yet, these effects are malleable and flexible and do not appear to shape core biases in event perception and memory. (shrink)

Gleitman and Trueswell’s “The easy words” forms a pair with their earlier paper, “Hard words,” completing a circle in which the authors ask how “easy” words (e.g., concrete nouns) are learned. They take up the hypothesis of “cross‐situational learning,” and argue that accumulating observations actually hinders learning if the mechanism requires holding all exemplars in memory over time. They present an alternative hypothesis, “Propose but Verify,” wherein people use one‐trial learning to confirm or disconfirm their current hypothesis—a mechanism distinctly different (...) from cross‐situational learning. (shrink)

Cognitive Science, Volume 46, Issue 1, January 2022.

People use language to communicate their perceptions and conceptions of the world, and underlying this communication is the linguistic system that interacts with the human perceptual and conceptual machinery. This is supported by research on sentence comprehension among adults. This chapter examines theories of sentence processing in children and adults. It comments on a study John Trueswell et al. in which they demonstrated that five-year-old children appeared to be unable to use contextual cues to resolve ambiguity in sentences such as (...) “Put the frog on the napkin into the box.” Trueswell et al. explained this finding by arguing that children have limited working memory capacity that prevents them from using information from the context to disambiguate linguistic input. The chapter first discusses real-time sentence processing in adults before presenting a developmental account of sentence comprehension. It then considers the so-called Kindergarten-path Effect along with referential scenes, definite reference, and restrictive modifiers. It also looks at the effects of discourse and pragmatics on parsing by children and concludes with a discussion of the development of attention in children. (shrink)

Cognitive control refers to the regulation of mental activity to support flexible cognition across different domains. Cragg and Nation (2010) propose that the development of cognitive control in children parallels the development of language abilities, particularly inner speech. We suggest that children’s late development of cognitive control also mirrors their limited ability to revise misinterpretations of sentence meaning. Moreover, we argue that for certain tasks, a tradeoff between bottom-up (data-driven) and top-down (rule-based) thinking may actually benefit performance in both children (...) and adults. Specifically, we propose that a lack of cognitive control may promote important aspects of cognitive development, like language acquisition and creativity. (shrink)