Previous research indicates young children are likely to interpret the surface-structure subject of a sentence as the deep subject regardless of syntax, e.g. John is chosen as subject of both John is easy to please and John is eager to please. However, with one-noun sentences, the task required both recognizing a difference between the sentences and inferring an implied noun. Thus an inability to make an inference might be responsible for the children's consistency in choosing the surface subject. Two experiments compared kindergarteners' interpretations of one- and two-noun sentences. With two-noun sentences (i.e. John is easy for Jim to please), which explicitly stated the surface object, consistency in choosing the surface subject decreased.

Extensive research has shown that children’s early words are learned through sensorimotor experience. Thus, early-acquired words tend to have more concrete meanings. Abstract word meanings tend to be learned later but less is known about their acquisition. We collected meaning-specific concreteness ratings and examined their relationship with age-of-acquisition data from large-scale vocabulary testing with children in grade 2 to college age. Earlier-acquired meanings were rated as more concrete while later-acquired meanings as more abstract, particularly for words typically considered to be concrete. The results suggest that sensorimotor experiences are important to early-acquired word meanings, and other experiences (e.g., linguistic) are important to later-acquired meanings, consistent with a multi-representational view of lexical semantics.

This commentary concerns two issues: the contribution of connectionism and theories of learning to developmental psychology; and the status of connectionist models of syntax acquisition.

Thai has imperfective aspectual morphemes that are not obligatory in usage, whereas English has obligatory grammaticized imperfective aspectual marking on the verb. Furthermore, Thai has verb final deictic-path verbs that form a closed class set. The current study investigated if obligatoriness of these grammatical categories in Thai and English affects the expression of co-occurring temporal events and actions depicted in three different short animations. Ten children aged four years, five years, six years and seven years, and ten adults as a comparison group from each of the two languages participated. English speakers explicitly expressed the ongoingness of the events more than Thai speakers, whereas Thai speakers expressed the entrance and exit of protagonists depicted in the animations significantly more than English speakers. These results support the notion that obligatory grammatical categories shape how Thai and English speakers express temporal events or actions.

Parent report data on 82 preschool children with complex neurodevelopmental disabilities including Down syndrome, dyspraxia, autism, and global developmental delay suggests communicative language use must reach a threshold level before vocabulary size becomes the best predictor of word combining. Using the Language Use Inventory and the MacArthur-Bates CDI (with sign vocabulary option), statistical modelling using regression trees and random forests suggests that, despite high linear correlations between variables, (1) pragmatic ability, particularly children's emerging ability to talk about things, themselves and others is a significantly better predictor of the earliest word combining than vocabulary size; and (2) vocabulary size becomes a better predictor of later word combining, once this pragmatic base has been established.

The review article by Sabbagh & Gelman (S & G) on The emergence of language (EL) mentions several criticisms of strong emergentism, the view that language emerges through an interaction between domain-general learning mechanisms and the environment, without crediting the organism with innate knowledge of domain-specific rules, a view that successful connectionist modelling is taken to support. One criticism of this view and the support for it that connectionist modelling putatively provides has been made frequently, and is noted by S & G: it is arguable that connectionist simulations work only because the input to the network in effect contains a representation of the knowledge that the net seeks to acquire. I think it is worth adding to this another criticism that to my mind is a fundamental one, but which has not featured so strongly in critiques of connectionism. A primary goal of modern linguistics has been to account not merely for what patterns we do see in human languages, but for those that we do not. The concept of Universal Grammar is precisely a set of limitations on what constitutes a possible human language. The kind of example used in teaching Linguistics 101 is the fact that patterns of grammaticality are structurally, not linearly, determined: in English we form a yes–no question by inverting the subject NP and auxiliary verb, not by inverting the first and second words of the equivalent declarative sentence, or the first and fifth words, or any number of conceivable non-structural operations. Could a connectionist mechanism learn such non-structural operations? Perhaps I have asked the wrong people, but when I have queried researchers doing connectionist modelling, the answer appears to be ‘yes’. If that's the case, then connectionist mechanisms as currently developed do not constitute an explanatory model of human language abilities: they are too powerful.

The English dative alternation has received much attention in the literature on argument structure acquisition in children. However, the data on the acquisition of this alternation have consistently revealed a counter-intuitive pattern: children look more proficient with the lower frequency prepositional form of the dative than with the higher frequency double object form (Conwell & Demuth, 2007; Rowland & Noble, 2010). This may be because the DO dative typically occurs with pronominal argument types in first post-verbal position, which may result in an over-reliance on stereotyped forms (e.g., give + me) for early comprehension and production (Conwell, O'Donnell, & Snedeker, 2011). This paper presents three studies of the effects of the pronoun me on dative comprehension by three-year-olds. Children's comprehension of the DO dative improved significantly when the first post-verbal argument was pronominal; no other effects of pronoun use were significant. Children's experience affects their ability to use lexically general representations of syntactic structures.

Many Aboriginal Australian communities are undergoing language shift from traditional Indigenous languages to contact varieties such as Kriol, an English-lexified Creole. Kriol is reportedly characterised by lexical items with highly variable phonological specifications, and variable implementation of voicing and manner contrasts in obstruents (Sandefur, 1986). A language, such as Kriol, characterised by this unusual degree of variability presents Kriol-acquiring children with a potentially difficult language-learning task, and one which challenges the prevalent theories of acquisition. To examine stop consonant acquisition in this unusual language environment, we present a study of Kriol stop and affricate production, followed by a mispronunciation detection study, with Kriol-speaking children (ages 4-7) from a Northern Territory community where Kriol is the lingua franca. In contrast to previous claims, the results suggest that Kriol-speaking children acquire a stable phonology and lexemes with canonical phonemic specifications, and that English experience would not appear to induce this stability.

Computational models of reading have tended to focus on the cognitive requirements of mapping among written, spoken, and meaning representations of individual words in adult readers. Consequently, the alignment of these computational models with behavioural studies of reading development has to date been limited. Models of reading have provided us with insights into the architecture of the reading system, and these have recently been extended to investigate literacy development, and the early language skills that influence children’s reading. These models show us: how learning to read builds on early language skills, why various reading interventions might be more or less effective for different children, and how reading develops across different languages and writing systems. Though there is growing alignment between descriptive models of reading behaviour and computational models, there remains a gap, and I lay out the groundwork for how translation may become increasingly effective through future modelling work.