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
Most common words in Spanish includes samples from all Spanish-speaking countries. The list of "1000 most frequent word forms" comes from an analysis of CREA version 3.2. Plurals, verb conjugations, and other inflections are ranked separately. Homonyms, however, are not distinguished from one another. CREA 3.2 was published in June 2008. In 2006, Mark Davies, an associate professor of linguistics at Brigham Young University, published his estimate of the 5000 most common words in Modern Spanish. To make this list, he compiled samples only from 20th-century sources—especially from the years 1970 to 2000. Most of the sources are from the 1990s. Of the 20 million