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
Word order causing a perceivable change in emphasis, the latter being of different intensity. "Më" is always followed by the verb. Thus, a sentence consisting of a subject, a verb and two objects (a direct and an indirect one), can be expressed in six different ways without "mua", and in twenty-four different ways with "mua", adding up to thirty possible combinations. The word order of many Indo-Aryan languages can change depending on what specific implications a speaker wishes to make. These are generally aided by the use of appropriate inflectional suffixes. Consider these examples from Bengali: In many languages, changes in word