Transposed letter effect are letter-position specific when detecting words, so our recognition of words is based on what letters it contains, where the letters are placed within that word and the length of the word itself. Another example is the bayesian reader model created by Norris (2006) which also assumes that the letters in a word are associated with their specific location. Many experiments (for example, Perea and Lupker, 2003) have shown if you use transposed-letter priming, (for example, priming judge with jugde) you will see a priming effect but if the prime is a word where two letters are changed to other
Hybrid word Hybrid word A hybrid word or hybridism is a word that etymologically derives from at least two languages. The most common form of hybrid word in English combines Latin and Greek parts. Since many prefixes and suffixes in English are of Latin or Greek etymology, it is straightforward to add a prefix or suffix from one language to an English word that comes from a different language, thus creating a hybrid word. Modern Hebrew abounds with non-Semitic derivational affixes, which are applied to words of both Semitic and non-Semitic descent. The following hybrid words consist of a Hebrew-descent word and