Children with specific language impairment show a significant deficit in spoken language that cannot be attributed to neurological damage, hearing impairment, or intellectual disability. More prevalent than autism and at least as prevalent as dyslexia, SLI affects approximately seven percent of all children; it is longstanding, with adverse effects on academic, social, and economic standing. The first edition of this work established _Children with Specific Language Impairment_ as the landmark reference on this condition, considering not only the disorder's history, possible (...) origins, and treatment but also what SLI might tell us about language organization and development in general. This second edition offers a complete update of the earlier volume. Much of the second edition is completely new, reflecting findings and interpretations based on the hundreds of studies that have appeared since the publication of the first edition in 1997. Topics include linguistic details, word and sentence processing findings, genetics, neurobiology, treatment, and comparisons to such conditions as autism spectrum disorders, ADHD, and dyslexia. The book covers SLI in children who speak a wide range of languages, and, although the emphasis is on children, it also includes studies of adults who were diagnosed with SLI as children or are the parents of children with SLI. Written by a leading scholar in the field, Children with Specific Language Impairment offers the most comprehensive, balanced, and unified treatment of SLI available. (shrink)

The book highlights important research strategies in the quest to find thecause of SLI and to develop methods of prevention and treatment.

The ability to process center‐embedded structures has been claimed to represent a core function of the language faculty. Recently, several studies have investigated the learning of center‐embedded dependencies in artificial grammar settings. Yet some of the results seem to question the learnability of these structures in artificial grammar tasks. Here, we tested under which exposure conditions learning of center‐embedded structures in an artificial grammar is possible. We used naturally spoken syllable sequences and varied the presence of prosodic cues. The results (...) suggest that mere distributional information does not suffice for successful learning. Prosodic cues marking the boundaries of the major relevant units, however, can lead to learning success. Thus, our data are consistent with the hypothesis that center‐embedded syntactic structures can be learned in artificial grammar tasks if language‐like acoustic cues are provided. (shrink)

Natural languages contain many layers of sequential structure, from the distribution of phonemes within words to the distribution of phrases within utterances. However, most research modeling language acquisition using artificial languages has focused on only one type of distributional structure at a time. In two experiments, we investigated adult learning of an artificial language that contains dependencies between both adjacent and non-adjacent words. We found that learners rapidly acquired both types of regularities and that the strength of the adjacent statistics (...) influenced learning of both adjacent and non-adjacent dependencies. Additionally, though accuracy was similar for both types of structure, participants’ knowledge of the deterministic non-adjacent dependencies was more explicit than their knowledge of the probabilistic adjacent dependencies. The results are discussed in the context of current theories of statistical learning and language acquisition. (shrink)

Noam Chomsky's book on syntactic structures is a serious attempts on the part of a linguist to construct within the tradition of scientific theory-construction ...