A Comprehensive Examination of Prediction-Based Error as a Mechanism for Syntactic Development: Evidence From Syntactic Priming.

Prediction-based accounts of language acquisition have the potential to explain several different effects in child language acquisition and adult language processing. However, evidence regarding the developmental predictions of such accounts is mixed. Here, we consider several predictions of these accounts in two large-scale developmental studies of syntactic priming of the English dative alternation. Study 1 was a cross-sectional study (N = 140) of children aged 3-9 years, in which we found strong evidence of abstract priming and the lexical boost, but little evidence that either effect was moderated by age. We found weak evidence for a prime surprisal effect; however, exploratory analyses revealed a protracted developmental trajectory for verb-structure biases, providing an explanation as for why prime surprisal effects are more elusive in developmental populations. In a longitudinal study (N = 102) of children in tightly controlled age bands at 42, 48, and 54 months, we found priming effects emerged on trials with verb overlap early but did not observe clear evidence of priming on trials without verb overlap until 54 months. There was no evidence of a prime surprisal effect at any time point and none of the effects were moderated by age. The results relating to the emergence of the abstract priming and lexical boost effects are consistent with prediction-based models, while the absence of age-related effects appears to reflect the structure-specific challenges the dative presents to English-acquiring children. Overall, our complex pattern of findings demonstrates the value of developmental data sets in testing psycholinguistic theory.

Visual Heuristics for Verb Production: Testing a Deep-Learning Model With Experiments in Japanese.

Tense/aspect morphology on verbs is often thought to depend on event features like telicity, but it is not known how speakers identify these features in visual scenes. To examine this question, we asked Japanese speakers to describe computer-generated animations of simple actions with variation in visual features related to telicity. Experiments with adults and children found that they could use goal information in the animations to select appropriate past and progressive verb forms. They also produced a large number of different verb forms. To explain these findings, a deep-learning model of verb production from visual input was created that could produce a human-like distribution of verb forms. It was able to use visual cues to select appropriate tense/aspect morphology. The model predicted that video duration would be related to verb complexity, and past tense production would increase when it received the endpoint as input. These predictions were confirmed in a third study with Japanese adults. This work suggests that verb production could be tightly linked to visual heuristics that support the understanding of events.

Revisiting Subject-Object Asymmetry in the Production of Cantonese Relative Clauses: Evidence From Elicited Production in 3-Year-Olds.

Emergentist approaches to language acquisition identify a core role for language-specific experience and give primacy to other factors like function and domain-general learning mechanisms in syntactic development. This directly contrasts with a nativist structurally oriented approach, which predicts that grammatical development is guided by Universal Grammar and that structural factors constrain acquisition. Cantonese relative clauses (RCs) offer a good opportunity to test these perspectives because its typologically rare properties decouple the roles of frequency and complexity in subject- and object-RCs in a way not possible in European languages. Specifically, Cantonese object RCs of the classifier type are frequently attested in children's linguistic experience and are isomorphic to frequent and early-acquired simple SVO transitive clauses, but according to formal grammatical analyses Cantonese subject RCs are computationally less demanding to process. Thus, the two opposing theories make different predictions: the emergentist approach predicts a specific preference for object RCs of the classifier type, whereas the structurally oriented approach predicts a subject advantage. In the current study we revisited this issue. Eighty-seven monolingual Cantonese children aged between 3;2 and 3;11 (Mage: 3;6) participated in an elicited production task designed to elicit production of subject- and object- RCs. The children were very young and most of them produced only noun phrases when RCs were elicited. Those (nine children) who did produce RCs produced overwhelmingly more object RCs than subject RCs, even when animacy cues were controlled. The majority of object RCs produced were the frequent classifier-type RCs. The findings concur with our hypothesis from the emergentist perspectives that input frequency and formal and functional similarity to known structures guide acquisition.

Four-year-old Mandarin-speaking children's online comprehension of relative clauses.

A core question in language acquisition is whether children's syntactic processing is experience-dependent and language-specific, or whether it is governed by abstract, universal syntactic machinery. We address this question by presenting corpus and on-line processing dat a from children learning Mandarin Chinese, a language that has been important in debates about the universality of parsing processes. The corpus data revealed that two different relative clause constructions in Mandarin are differentially used to modify syntactic subjects and objects. In the experiment, 4-year-old children's eye-movements were recorded as they listened to the two RC construction types (e.g., Can you pick up the pig that pushed the sheep?). A permutation analysis showed that children's ease of comprehension was closely aligned with the distributional frequencies, suggesting syntactic processing preferences are shaped by the input experience of these constructions.

Thematic role information is maintained in the visual object-tracking system.

Thematic roles characterise the functions of participants in events, but there is no agreement on how these roles are identified in the real world. In three experiments, we examined how role identification in push events is supported by the visual object-tracking system. Participants saw one to three push events in visual scenes with nine identical randomly moving circles. After a period of random movement, two circles from one of the push events and a foil object were given different colours and the participants had to identify their roles in the push with an active sentence, such as red pushed blue. It was found that the participants could track the agent and patient targets and generate descriptions that identified their roles at above chance levels, even under difficult conditions, such as when tracking multiple push events (Experiments 1-3), fixating their gaze (Experiment 1), performing a concurrent speeded-response task (Experiment 2), and when tracking objects that were temporarily invisible (Experiment 3). The results were consistent with previous findings of an average tracking capacity limit of four objects, individual differences in this capacity, and the use of attentional strategies. The studies demonstrated that thematic role information can be maintained when tracking the identity of visually identical objects, then used to map role fillers (e.g., the agent of a push event) into their appropriate sentence positions. This suggests that thematic role features are stored temporarily in the visual object-tracking system.

Improving Emergency Department Management of Diabetic Ketoacidosis in Children.

BACKGROUND: Diagnostic delays in the pediatric emergency department (ED) can lead to unnecessary interventions and prolonged ED length of stay (LOS), especially in patients with diabetes mellitus evaluated for diabetic ketoacidosis (DKA). At our institution, baseline DKA determination time (arrival to diagnosis) was 86 minutes, and 61% of patients did not meet DKA criteria. Subsequently, intravenous (IV) placement occurred in 85% of patients without DKA. We aimed to use point-of-care (POC) testing to reduce DKA determination time from 86 to 30 minutes and to reduce IV placements in patients without DKA from 85% to 20% over 18 months. METHODS: Four key interventions (POC tests, order panels, provider guidelines, and nursing guidelines) were tested by using plan-do-study-act cycles. DKA determination time was our primary outcome, and secondary outcomes included the percentage of patients receiving IV placement and ED LOS. Process measures included the rate of use of POC testing and order panels. All measures were analyzed on statistical process control charts. RESULTS: Between January 2015 and July 2018, 783 patients with diabetes mellitus were evaluated for DKA. After all 4 interventions, DKA determination time decreased from 86 to 26 minutes (P < .001). In patients without DKA, IV placement decreased from 85% to 36% (P < .001). ED LOS decreased from 206 to 186 minutes (P = .009) in patients discharged from the hospital after DKA evaluation. POC testing and order panel use increased from 0% to 98% and 90%, respectively. CONCLUSIONS: Using quality-improvement methodology, we achieved a meaningful reduction in DKA determination time, the percentage of IV placements, and ED LOS.

Correlating 3D Morphology, Phase State, and Viscoelastic Properties of Individual Substrate-Deposited Particles.

Depending on the source and relative humidity, aerosols can have different compositional, morphological, and viscoelastic properties. Aerosol studies determining the relationship between these properties and their combined effect on the climate and environment are important. This work aims to correlate the 3D morphology, phase state, and viscoelastic properties of selected single-component chemical systems found in sea spray aerosol (SSA) that were substrate-deposited on a solid surface, studied with atomic force microscopy (AFM). Specifically, two inorganic salts (NaCl and MgSO4), four organic acids (malonic, glutaric, azelaic, and palmitic acids), three saccharides (glucose, sucrose, and raffinose), and lipopolysaccharide from Escherichia coli were studied. Furthermore, three inorganic-organic binary chemical mixtures (NaCl-malonic acid, NaCl-glucose, and MgSO4-glucose) at 1:3 and 3:1 mass ratio were studied. AFM imaging and force spectroscopy at 20% relative humidity were performed to record 3D height images of individual particles and measure force-distance plots, respectively. First, by utilizing combined relative indentation depth (RID) and viscoelastic response distance (VRD) data obtained from the force-distance plots, we establish quantitative framework toward differentiation of the solid, semisolid and liquid phase states of individual particles without prior knowledge of their chemical identity. Second, we show that the single particle aspect ratio (AR) of a wide range of compounds relevant to SSA is a measure of the extent of the particle spreading as a result of impaction with the solid substrate, which can be directly related to the RID and VRD results. Thus, we demonstrate that a quick height imaging and determination of a single particle AR can be used to assess the phase state. Therefore, we introduce the ability to semiquantitatively assess the phase states of individual substrate deposited particles of SSA-relevant compounds, irrespective of the microscopy technique used, which can subsequently be further validated by more quantitative AFM force spectroscopy.

Language ERPs reflect learning through prediction error propagation.

Event-related potentials (ERPs) provide a window into how the brain is processing language. Here, we propose a theory that argues that ERPs such as the N400 and P600 arise as side effects of an error-based learning mechanism that explains linguistic adaptation and language learning. We instantiated this theory in a connectionist model that can simulate data from three studies on the N400 (amplitude modulation by expectancy, contextual constraint, and sentence position), five studies on the P600 (agreement, tense, word category, subcategorization and garden-path sentences), and a study on the semantic P600 in role reversal anomalies. Since ERPs are learning signals, this account explains adaptation of ERP amplitude to within-experiment frequency manipulations and the way ERP effects are shaped by word predictability in earlier sentences. Moreover, it predicts that ERPs can change over language development. The model provides an account of the sensitivity of ERPs to expectation mismatch, the relative timing of the N400 and P600, the semantic nature of the N400, the syntactic nature of the P600, and the fact that ERPs can change with experience. This approach suggests that comprehension ERPs are related to sentence production and language acquisition mechanisms.

Four-year-old Cantonese-speaking children's online processing of relative clauses: a permutation analysis.

We report on an eye-tracking study that investigated four-year-old Cantonese-speaking children's online processing of subject and object relative clauses (RCs). Children's eye-movements were recorded as they listened to RC structures identifying a unique referent (e.g. "Can you pick up the horse that pushed the pig?"). Two RC types, classifier (CL) and ge3 RCs, were tested in a between-participants design. The two RC types differ in their syntactic analyses and frequency of occurrence, providing an important point of comparison for theories of RC acquisition and processing. A permutation analysis showed that the two structures were processed differently: CL RCs showed a significant object-over-subject advantage, whereas ge3 RCs showed the opposite effect. This study shows that children can have different preferences even for two very similar RC structures within the same language, suggesting that syntactic processing preferences are shaped by the unique features of particular constructions both within and across different linguistic typologies.

Input and Age-Dependent Variation in Second Language Learning: A Connectionist Account.

Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's (1999) study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive period, L2 knowledge increased with years of input. Knowledge of different grammar rules was negatively associated with input frequency of those rules. To better understand these effects, we modeled the results using a connectionist model that was trained using Korean as a first language (L1) and then English as an L2. To explain the sensitive period in L2 learning, the model's learning rate was reduced in an age-related manner. By assigning different learning rates for syntax and lexical learning, we were able to model the difference between early and late L2 learners in input sensitivity. The model's learning mechanism allowed transfer between the L1 and L2, and this helped to explain the differences between different rules in the grammaticality judgment task. This work demonstrates that an L1 model of learning and processing can be adapted to provide an explicit account of how the input and the sensitive period interact in L2 learning.

Do two and three year old children use an incremental first-NP-as-agent bias to process active transitive and passive sentences?: A permutation analysis.

We used eye-tracking to investigate if and when children show an incremental bias to assume that the first noun phrase in a sentence is the agent (first-NP-as-agent bias) while processing the meaning of English active and passive transitive sentences. We also investigated whether children can override this bias to successfully distinguish active from passive sentences, after processing the remainder of the sentence frame. For this second question we used eye-tracking (Study 1) and forced-choice pointing (Study 2). For both studies, we used a paradigm in which participants simultaneously saw two novel actions with reversed agent-patient relations while listening to active and passive sentences. We compared English-speaking 25-month-olds and 41-month-olds in between-subjects sentence structure conditions (Active Transitive Condition vs. Passive Condition). A permutation analysis found that both age groups showed a bias to incrementally map the first noun in a sentence onto an agent role. Regarding the second question, 25-month-olds showed some evidence of distinguishing the two structures in the eye-tracking study. However, the 25-month-olds did not distinguish active from passive sentences in the forced choice pointing task. In contrast, the 41-month-old children did reanalyse their initial first-NP-as-agent bias to the extent that they clearly distinguished between active and passive sentences both in the eye-tracking data and in the pointing task. The results are discussed in relation to the development of syntactic (re)parsing.

Meaningful questions: The acquisition of auxiliary inversion in a connectionist model of sentence production.

Nativist theories have argued that language involves syntactic principles which are unlearnable from the input children receive. A paradigm case of these innate principles is the structure dependence of auxiliary inversion in complex polar questions (Chomsky, 1968, 1975, 1980). Computational approaches have focused on the properties of the input in explaining how children acquire these questions. In contrast, we argue that messages are structured in a way that supports structure dependence in syntax. We demonstrate this approach within a connectionist model of sentence production (Chang, 2009) which learned to generate a range of complex polar questions from a structured message without positive exemplars in the input. The model also generated different types of error in development that were similar in magnitude to those in children (e.g., auxiliary doubling, Ambridge, Rowland, & Pine, 2008; Crain & Nakayama, 1987). Through model comparisons we trace how meaning constraints and linguistic experience interact during the acquisition of auxiliary inversion. Our results suggest that auxiliary inversion rules in English can be acquired without innate syntactic principles, as long as it is assumed that speakers who ask complex questions express messages that are structured into multiple propositions.

Free classification of large sets of everyday objects is more thematic than taxonomic.

Traditionally it has been thought that the overall organisation of categories in the brain is taxonomic. To examine this assumption, we had adults sort 140-150 diverse, familiar objects from different basic-level categories. Almost all the participants (80/81) sorted the objects more thematically than taxonomically. Sorting was only weakly modulated by taxonomic priming, and people still produced many thematically structured clusters when explicitly instructed to sort taxonomically. The first clusters that people produced were rated as having equal taxonomic and thematic structure. However, later clusters were rated as being increasingly thematically organised. A minority of items were consistently clustered taxonomically, but the overall dominance of thematically structured clusters suggests that people know more thematic than taxonomic relations among everyday objects. A final study showed that the semantic relations used to sort a given item in the initial studies predicted the proportion of thematic to taxonomic word associates generated to that item. However, unlike the results of the sorting task, most of these single word associates were related taxonomically. This latter difference between the results of large-scale, free sorting tasks versus single word association tasks suggests that thematic relations may be more numerous, but weaker, than taxonomic associations in our stored conceptual network. Novel statistical and numerical methods for objectively measuring sorting consistency were developed during the course of this investigation, and have been made publicly available.

Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations.

Children must learn the structural biases of locative verbs in order to avoid making overgeneralisation errors (e.g., (∗)I filled water into the glass). It is thought that they use linguistic and situational information to learn verb classes that encode structural biases. In addition to situational cues, we examined whether children and adults could use the lexical distribution of nouns in the post-verbal noun phrase of transitive utterances to assign novel verbs to locative classes. In Experiment 1, children and adults used lexical distributional cues to assign verb classes, but were unable to use situational cues appropriately. In Experiment 2, adults generalised distributionally-learned classes to novel verb arguments, demonstrating that distributional information can cue abstract verb classes. Taken together, these studies show that human language learners can use a lexical distributional mechanism that is similar to that used by computational linguistic systems that use large unlabelled corpora to learn verb meaning.

Why loose rings can be tight: the role of learned object knowledge in the development of Korean spatial fit terms.

The Korean fit distinction has been at the center of a debate about whether language can influence spatial concepts. Most research on this issue has largely assumed that the concepts that support Korean fit terms are signaled by innate abstract visual cues (e.g., relative motion of objects), while linguistic studies in Korean suggest that fit terms are object-specific. To examine this issue, Korean-speaking three- to six year-old children and adults were asked to describe spatial scenes, which varied in object type/relations and visual cues for fit. Both groups relied on the prototypical relation between pairs of objects (e.g., rings tend to fit tightly on fingers) in selecting tight-fit terms, and this dependence increased with age. In contrast to Whorfian and Conceptual tuning accounts (Bowerman & Choi, 2003; Hespos & Spelke, 2004), these results suggest that Korean fit concepts are not entirely innate or abstract.

Do lemmas speak German? A verb position effect in German structural priming.

Lexicalized theories of syntax often assume that verb-structure regularities are mediated by lemmas, which abstract over variation in verb tense and aspect. German syntax seems to challenge this assumption, because verb position depends on tense and aspect. To examine how German speakers link these elements, a structural priming study was performed which varied syntactic structure, verb position (encoded by tense and aspect), and verb overlap. Abstract structural priming was found, both within and across verb position, but priming was larger when the verb position was the same between prime and target. Priming was boosted by verb overlap, but there was no interaction with verb position. The results can be explained by a lemma model where tense and aspect are linked to structural choices in German. Since the architecture of this lemma model is not consistent with results from English, a connectionist model was developed which could explain the cross-linguistic variation in the production system. Together, these findings support the view that language learning plays an important role in determining the nature of structural priming in different languages.

Do as I say, not as I do: a lexical distributional account of English locative verb class acquisition.

Children overgeneralise verbs to ungrammatical structures early in acquisition, but retreat from these overgeneralisations as they learn semantic verb classes. In a large corpus of English locative utterances (e.g., the woman sprayed water onto the wall/wall with water), we found structural biases which changed over development and which could explain overgeneralisation behaviour. Children and adults had similar verb classes and a correspondence analysis suggested that lexical distributional regularities in the adult input could help to explain the acquisition of these classes. A connectionist model provided an explicit account of how structural biases could be learned over development and how these biases could be reduced by learning verb classes from distributional regularities.

The P-chain: relating sentence production and its disorders to comprehension and acquisition.

This article introduces the P-chain, an emerging framework for theory in psycholinguistics that unifies research on comprehension, production and acquisition. The framework proposes that language processing involves incremental prediction, which is carried out by the production system. Prediction necessarily leads to prediction error, which drives learning, including both adaptive adjustment to the mature language processing system as well as language acquisition. To illustrate the P-chain, we review the Dual-path model of sentence production, a connectionist model that explains structural priming in production and a number of facts about language acquisition. The potential of this and related models for explaining acquired and developmental disorders of sentence production is discussed.