Logogen model: Difference between revisions

Revision as of 19:56, 17 March 2013

Revision as of 10:51, 26 May 2013

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* [[cohort model]]{{spaced ndash}}This model was proposed by Marslen-Wilson and was designed specifically to account for auditory word recognition. It works by breaking the word down and states that when a word is heard all words that begin with the first sound of the target word are activated. This set of words is considered the cohort. Once the first cohort has been activated, the other information, or sounds in the word narrow down the choices. The person recognizes the word when you are left with a single choice; this is considered the "recognition point".

* [[checking model]]{{spaced ndash}}This model was developed by Norris{{who|date=February 2012}} in 1986. In this particular model, he took the approach that any word that partially matches the input is analyzed and checked to see if it fits with the context of the situation.

* [[interactive activation model|interactive-activation model]]{{spaced ndash}}This model is considered a connectionist model. Proposed by McClelland and Rumelhurt{{who|date=February 2012}}Rumelhart in the 1981 to 1982 period, it is based around nodes, which are visual features, and positions of letters within a given word. They also act as word detectors which have inhibitory and excitatory connections between them. This model starts with first letter and suggests that all the words with that first letter are activated at first and then going through the word one can determine what the word is they are looking at. The main principle is that mental phenomena can be described by interconnected networks of simple units.

* [[verification model]]{{spaced ndash}}The model was developed by [[Curtis Becker]] in 1970. The main idea is that a small number of candidates that are activated in parallel are subject to a serial-verification process. This model starts the word-recognition process with a basic representation of the stimulus. Then, sensory trace, consisting of line features is used to activate word detectors. When an acceptable number of detectors are activated these are used to generate a search set. These items are drawn from the lexicon on the basis of similarity to the sensory trace, which help with the identity of the stimulus. Then, in a serial process the candidates are compared to the representation of the sensory-trace input.