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Evidence of children’s sensitivity to statistical features of their input in language acquisition is often used to argue against learning mechanisms driven by innate knowledge. At the same time, evi...
We identify three components of any learning theory: the representations, the learner’s data intake, and the learning algorithm. With these in mind, we model the acquisition of the English anaphoric ...
SELECTIVE LEARNING IN THE ACQUISITION OF KANNADA DITRANSITIVES     quantification  binding  acquisition  syntax       font style='font-size:12px;'> 2015/9/2
In this article we offer up a particular linguistic phenomenon, quantifier-variable binding in Kannada ditransitives, as a proving ground upon which competing claims about learnability can be evalua...
The field of formal linguistics was founded on the premise that language is mentally represented as a deterministic symbolic grammar. While this approach has captured many important characteristics of...
Learning the Structure of Event Sequences     Learning the Structure  Event Sequences       font style='font-size:12px;'> 2015/6/19
How is complex sequential material acquired, processed, and represented when there is no intention to learn?Two experiments exploringa choicereaction time task are reported. Unknown to Ss, successives...
On Learning the Past Tenses of English Verbs     Learning the Past Tenses  English Verbs       font style='font-size:12px;'> 2015/6/19
Scholars of language and psycholinguistics have been among the first to stress the importance of rules in describing human behavior. The reason for this is obvious. Many aspects of language can be cha...
This study confirms the robustness of the finding in the literature on African American Vernacular English [AAVE] and creole English (especially in the Caribbean) that omission of copular and auxiliar...
Texts and dialogues often express information indirectly. For instance, speakers’ answers to yes/no questions do not always straightforwardly convey a ‘yes’ or ‘no’ answer. The intended reply is clear...
This study investigated whether the negative effect of complexity on artificial grammar learning could be compensated by adding semantics. Participants were exposed to exemplars from a simple or a com...
Learning to map words onto their referents is difficult, because there are multiple possibilities for forming these mappings. Cross-situational learning studies have shown that word-object mappings ca...
In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the struct...
Previous work has shown that toddlers readily encode each noun in the sentence as a distinct argument of the verb. However, languages allow multiple mappings between form and meaning that do not fit t...
Hierarchical centre-embedded structures pose a large difficulty for language learners due to their complexity. A recent artificial grammar learning study (Lai & Poletiek, 2011) demonstrated a starting...
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Assuming that sequence-learning tasks provide a useful way to tap natural-language-processing mechanism...
Artificial grammar learning constitutes a well-established model for the acquisition of grammatical knowledge in a natural setting. Previous neuroimaging studies demonstrated that Brocaʼs area (l...

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