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Titre : | Seminars in Speech and Language, Vol. 37, n°1. A Look to the Future: Big Data in Neurorehabilitation - [January 2016] |
Type de document : | Bulletin |
Paru le : | 01/01/2016 |
Dépouillements
Article
In some fields, Big Data has been instrumental in analyzing, predicting, and influencing human behavior. However, Big Data approaches have so far been less central in speech-language pathology. This article introduces the concept of Big Data and[...]
Article
Brian MacWhinney, Auteur ;
Davida Fromm, Auteur
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AphasiaBank has used a standardized protocol to collect narrative, procedural, personal, and descriptive discourse from 290 persons with aphasia, as well as 190 control participants. These data have been transcribed in the Codes for the Human An[...]
Article
Julia Thorne, Auteur ;
Yasmeen Faroqi-Shah, Auteur
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Some individuals with aphasia preferably use semantically general light verbs, whereas others prefer semantically specific heavy verbs. This study aimed to test Gordon and Dell's division of labor hypothesis that light versus heavy verb usage [...]
Article
Svetlana Malyutina, Auteur ;
Jessica D. Richardson, Auteur ;
Dirk B. den Ouden, Auteur
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Previous research has found that verb argument structure characteristics (such as the number of participant roles in the situation described by the verb) can facilitate or hinder aphasic language production and comprehension in constrained labor[...]
Article
Our ability to make great progress in delivering, optimizing, and predicting rehabilitation outcomes for individuals with aphasia is challenged by factors that influence rehabilitation outcomes. These include patient demographic factors such as [...]