The past two decades have shown an unexpected effectiveness of "Web-scale" data in natural language processing. Even the simplest models, when paired with unprecedented amounts of unstructured and unlabeled Web data, have been shown to outperform sophisticated ones. It has been argued that the effectiveness of Web-scale data has…

A basic challenge for research into the neurobiology of language is understanding how the brain combines words to make complex representations. Linguistic theory divides this task into several computations including syntactic structure building and semantic composition. The close relationship between these computations, however, poses a strong…

Discusses the deficiencies of the nativistic explanation of language acquisition, reviews and critiques existing theories of syntax while highlighting the trend toward a semantic description of linguistic development, and argues that a satisfactory account of language acquisition will not emerge until this process is viewed within a larger…

Evaluates arguments advanced in favor of special nativism in second-language acquisition (SLA). The article considers the following claims: Universal Grammar (UG) is the null hypothesis; any theory of SLA needs a theory of grammar; and showing that interlanguage grammars are underdetermined by the available input implies that UG must be accessible…

Investigates the linguistic abilities of a subgroup of grammatical specific language impaired (SLI) children, focusing on the use of referential expressions in a narrative discourse and providing insight into the underlying nature of grammatical SLI. Findings support the hypothesized modular nature of grammatical SLI children's underlying…

According to "noun-cue" models, arbitrary linguistic categories, like those associated with case and gender systems, are difficult to learn unless members of the target category (i.e., nouns) are marked with phonological or semantic cues that reliably co-occur with grammatical morphemes (e.g., determiners) that exemplify the categories. "Syntactic…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…