Abstract
An inescapable feature of alphabetic languages, in which a relatively small alphabet is used
to represent tens or hundreds of thousands of words, is that the spelling of a given word is
often similar to that of many other words. This orthographic similarity requires the visual word
identification system to make rather fine discriminations, so as to recognise, for example, that
“the thickset man” is not the same as “the thickest man”. Ordinarily, the word identification
system succeeds in selecting the word that best matches the visual input, implying that ...
to represent tens or hundreds of thousands of words, is that the spelling of a given word is
often similar to that of many other words. This orthographic similarity requires the visual word
identification system to make rather fine discriminations, so as to recognise, for example, that
“the thickset man” is not the same as “the thickest man”. Ordinarily, the word identification
system succeeds in selecting the word that best matches the visual input, implying that ...
| Original language | English |
|---|---|
| Title of host publication | Visual Word Recognition |
| Subtitle of host publication | Volume 1: Models and Methods, Orthography and Phonology |
| Place of Publication | Hove |
| Publisher | Psychology Press Ltd |
| Pages | 185- |
| Publication status | Published - 10 Sep 2012 |