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The Boston Naming Test (BNT), introduced in 1983 by Edith Kaplan, Harold Goodglass and Sandra Weintraub, is a widely used neuropsychological assessment tool to measure confrontational word retrieval in individuals with aphasia or other language disturbance caused by stroke, Alzheimer's disease, or other dementing disorder. [1]
It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a ...
Single-word comprehension: A common treatment method used to support single-word comprehension skills is known as a pointing drill. Through this method, clinicians lay out a variety of images in front of a patient. The patient is asked to point to the image that corresponds to the word provided by the clinician. [2]
To improve word retrieval and initiation difficulties, clinicians may use confrontation naming in which the patient is asked to name various objects and pictures. Depending on the severity, they may also use sentence completion tasks in which the clinician says sentences with the final word(s) missing and expects the patient to fill in the ...
The phonological retrieval system involved in speech repetition is the auditory phoneme perception system, and the visual letter perception system is the one that serves for reading aloud. [7] Communicative speech production entails a phase preceding phonological retrieval. Speech comprehension involves mapping sequences of phonemes onto word ...
Mooers received the American Society for Information Science's Award of Merit in 1978. The citation reads in part: He was a participant in early developmental work on digital computers, a researcher, author, and implementer of applications in information retrieval; and a prophet in the 1950s describing the future importance of what is now called computer networks and distributive processing ...
The cohort model in psycholinguistics and neurolinguistics is a model of lexical retrieval first proposed by William Marslen-Wilson and Alan Welsh in the late 1970s. [1] It attempts to describe how visual or auditory input (i.e., hearing or reading a word) is mapped onto a word in a hearer's lexicon. [2]
In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification, a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.