Young children excel at pragmatic inferences known as ad hoc quantity implicatures: they can infer, for example, that a speaker who said "the card with apples" meant the card with "nothing but" apples. However, it is not known whether children take into account the speaker's perspective in deriving such inferences, as adults…

This paper explores the hypothesis that children pay more attention to phonological cues than semantic cues when acquiring grammatical patterns. In a series of artificial allomorphy learning experiments with adults and children we find support for this hypothesis but only for those learners who do not show clear signs of explicit learning. In…

This paper reports an experiment that investigates interpretive distinctions between two different expressions of generalization in Spanish. In particular, our aim was to find out when the distinction between generic statements (GS) such as "Tigers have stripes" and universally quantified statements (UQS) such as "All tigers have…

How does linguistic structure affect children's developing cardinal number knowledge? The bootstrapping theory proposes that children might use syntactic information provided by known words such as quantifiers to bootstrap the meanings of unfamiliar words such as number words. Prior studies of numeral and quantifier development have indicated that…

Relatively late mastery of scalar implicatures has been suggested to correlate with children's immature processing capacities, such as their limited working memory. Yet, many studies that tested for a link between children's working memory and their computation of scalar implicatures have failed to find any correlation. One possible reason is that…

Much of what we know about the development of listeners' word segmentation strategies originates from the artificial language-learning literature. However, many artificial speech streams designed to study word segmentation lack a salient cue found in all natural languages: utterance boundaries. In this study, participants listened to a…

Syntactic bootstrapping facilitates children's initial learning of verb meanings based on syntactic information. A challenging case is the argument-drop languages, where the number of argument NPs is not a reliable cue for distinguishing between transitive and intransitive verbs. Despite this fact, the availability of syntactic bootstrapping in…

Acquiring the correct meanings of words expressing quantities ("seven, most") and qualities ("red, spotty") present a challenge to learners. Understanding how children succeed at this requires understanding, not only of what kinds of data are available to them, but also the biases and expectations they bring to the learning…

Structural priming is a useful laboratory-based technique for investigating how children respond to temporary changes in the distribution of structures in their input. In the current study we investigated whether increasing the number of object relative clauses (RCs) in German-speaking children's input changes their processing preferences for…

When learning verb meanings, learners capitalize on universal linguistic correspondences between syntactic and semantic structure. For instance, upon hearing the transitive sentence "the boy is glorping the girl," 2-year-olds prefer a two-participant event (e.g., a boy making a girl spin) over two simultaneous one-participant events (a…

In this study we investigate young children's knowledge of syntactic constraints on Noun Phrase reference by testing 30-month-olds' interpretation of two types of transitive sentences. In a preferential looking task, we find that children prefer different interpretations for transitive sentences whose object NP is a name (e.g., "She's patting…

Highly abstract predicates (e.g. "think") present a number of difficulties for language learners (Gleitman et al., 2005). A partial solution to learning these verbs is that learners exploit regularities in the syntactic frames in which these verbs occur. While agreeing with this general approach to learning verbs, we caution that this…