Question

Explain the design of a featrue net, and how it would account for different (at lease 2) phenomena in word recognition.  

(please give around a paragraph of description and please keep it simple and easy to follow)

Answer 1

Feature net model is a model that would account for identifying and recognition of words. These words are recognised through perception activation that would occur through three basic levels, which include feature of the word, the letter perception and identification of the words. Here, people carry out recognition of different words and components such that every word and component create a psychological model. One of the applications of feature net model in word description is the recognition of the optical character in a field known as OCR. This accuracy of software that occurs in ICR, is by integration of various word lists. The words are recognised by identification of the critical features that a person recognised.