From limited evidence, children track the regularities of their language impressively fast and they infer generalized rules that apply to novel instances. This study investigated what drives the inductive leap from memorizing specific items and statistical regularities to extracting abstract rules. We propose an innovative entropy model that offers one consistent information-theoretic account for both learning the regularities in the input and generalizing to new input. The model predicts that rule induction is an encoding mechanism gradually driven as a natural automatic reaction by the brain's sensitivity to the input complexity (entropy) interacting with the finite encoding power of the human brain (channel capacity). In two artificial grammar experiments with adults we probed the effect of input complexity on rule induction. Results showed that as the input becomes more complex, the tendency to infer abstract rules increases gradually.

This study confirms the hypothesis that measures of narrative macro-structure are not biased against children who have less experience with a particular language, like bilinguals. In addition, it indicates that using narratives to assess children's language abilities can support the identification of LI in both a monolingual and a bilingual context.

Learning and processing natural language requires the ability to track syntactic relationships between words and phrases in a sentence, which are often separated by intervening material. These nonadjacent dependencies can be studied using artificial grammar learning paradigms and structured sequence processing tasks. These approaches have been used to demonstrate that human adults, infants and some nonhuman animals are able to detect and learn dependencies between nonadjacent elements within a sequence. However, learning nonadjacent dependencies appears to be more cognitively demanding than detecting dependencies between adjacent elements, and only occurs in certain circumstances. In this review, we discuss different types of nonadjacent dependencies in language and in artificial grammar learning experiments, and how these differences might impact learning. We summarize different types of perceptual cues that facilitate learning, by highlighting the relationship between dependent elements bringing them closer together either physically, attentionally, or perceptually. Finally, we review artificial grammar learning experiments in human adults, infants, and nonhuman animals, and discuss how similarities and differences observed across these groups can provide insights into how language is learned across development and how these language‐related abilities might have evolved.

This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractPurpose This study evaluated a newly developed quasi-universal nonword repetition task (Q-U NWRT) as a diagnostic tool for bilingual children with language impairment (LI) who have Dutch as a second language. The Q-U NWRT was designed to be minimally influenced by knowledge of one specific language, in contrast to a language-specific (L-S) NWRT to which it was compared.Methods 120 monolingual and bilingual children with and without LI participated (30 per group). A mixed-design ANOVA was used to investigate the effects of LI and bilingualism on the NWRTs. Receiver Operating Characteristic analyses were conducted to evaluate the instruments' diagnostic value.Results Large negative effects of LI were found on both NWRTs, whereas negative effects of bilingualism only occurred on the L-S NWRT. Both instruments had high clinical accuracy in the monolingual group, but only the Q-U NWRT had high clinical accuracy in the bilingual group.Conclusions This study indicates that the Q-U NWRT is a promising diagnostic tool to help identify LI in bilingual children learning Dutch as a second language. The instrument was clinically accurate in both a monolingual and bilingual group of children and seems better able to disentangle language impairment from language disadvantage than more languagespecific measures.3

In this study it is argued that the omission of closed class morphemes and of unstressed syllables within words is related to their common characteristic, viz. that they are unstressed, rhythmically weak parts of utterances. Several strands of evidence indicate that it is unlikely that children are unable to perceive these elements in the input speech. The pattern of (non)realization of unstressed syllables within content words and the class of determiners, was analysed in two Dutch children from 1;6 to 2;11. It appeared that polysyllabic words were quite generally truncated in such a way that they fitted a trochaic (strong-weak) pattern, particularly in the early samples. Some observations with respect to the (non)realization of determiners are suggestive of an influence of an SW-constraint on the realization of noun phrases. These findings support the hypothesis that in the course of utterance preparation, words and phrases are mapped onto S(W) templates. Anecdotal evidence suggests that the dissolution of the SW-constraint coincides with the acquisition of specific aspects of stress assignment in Dutch, such as quantity sensitivity.

While the studies under investigation demonstrate that implicit visual AGL is impaired in dyslexia (more so in children than in adults, if in adults at all), the detected publication bias suggests that the effect might in fact be zero.

Language deviations are a core symptom of schizophrenia. With the advances in computational linguistics, language can be easily assessed in exact and reproducible measures. This study investigated how language characteristics relate to schizophrenia diagnosis, symptom, severity and integrity of the white matter language tracts in patients with schizophrenia and healthy controls. Spontaneous speech was recorded and diffusion tensor imaging was performed in 26 schizophrenia patients and 22 controls. We were able to classify both groups with a sensitivity of 89% and a specificity of 82%, based on mean length of utterance and clauses per utterance. Language disturbances were associated with negative symptom severity. Computational language measures predicted language tract integrity in patients (adjusted R 2 = 0.467) and controls (adjusted R 2 = 0.483). Quantitative language analyses have both clinical and biological validity, offer a simple, helpful marker of both severity and underlying pathology, and provide a promising tool for schizophrenia research and clinical practice.

Children who acquire Dutch as their first language show a strong preference for using infinitival verb forms during the early stages of grammatical development. This exemplifies the ' root infinitive ' (RI) phenomenon, which has played a significant role in recent discussions on the development of syntax. Most accounts proposed thus far invoke an immaturity of the child's grammatical competence. We explore the possibility that the early predominance of infinitival forms is related to patterns in the language input. We analysed a corpus of utterances addressed by two Dutch-speaking mothers to their two-to three-year old sons. Root infinitive utterances amounted to  %, and auxiliaryplus infinitive main verb constructions, which in terms of word order are maximally similar to RIs, constituted  % of all verb-containing utterances. These figures render an account in terms of exposure to utterance structures unlikely. There is a moderate (but significant) correlation between frequency of occurrence of individual verb forms in the input and age of acquisition. However, infinitive verb forms are often acquired earlier than their input frequency would predict, and this may be related to an overall increased salience, due to their systematic appearance in sentence-final position and their relatively high conceptual transparency as compared to finite verbs. [*] The research reported in this paper was supported by grants of the Dutch-Flemish Cooperative Programme on Language and Culture (VNC, nrs. G.. and -.), sponsored by the Belgian National Fund for Scientific Research (FWO) and the Netherlands Organisation for Scientific Research (NWO).