The present work examined the relationships among familiarity ratings, frequency of occurrence, neighborhood density, and word length in a corpus of Spanish words. The observed relationships were similar to the relationships found among the same variables in English. An auditory lexical decision task was then performed to examine the influence of word frequency, neighborhood density, and neighborhood frequency on spoken word recognition in Spanish. In contrast to the competitive effect of phonological neighborhoods typically observed in English, a facilitative effect of neighborhood density and neighborhood frequency was found in Spanish. Implications for models of spoken word recognition and language disorders are discussed.
Keywords
Word recognition; SpanishGiven the various differences that exist across the languages of the world, it is important to determine if the same factors affect processing in the same way in all languages. Computational analyses of lexical databases (e.g., Zipf, 1935;Landauer, & Streeter, 1973;Pisoni, Nusbaum, Luce, & Slowiacek, 1985; see also Bard, & Shillcock, 1993;Cutler, & Carter, 1987) can be used in conjunction with data from behavioral experiments to determine if factors such as familiarity, frequency of occurrence, neighborhood density, 1 and word length influence all languages in the same way, thereby better constraining theories of word recognition. The present analysis examined these lexical characteristics in a small subset of words (n = 1584) selected from a Spanish database that contained over 175 000 word types (Sebastián Gallés, Martí-Antonín, Carreiras-Valiña, & Cuetos Vega, 2000 ).2 The present analysis is similar to analyses that have examined English, Dutch (Frauenfelder, Baayen, Hellwig, & Schreuder, 1993), and Japanese (Yoneyama, & Johnson, 2001). In the present analysis a neighbor was defined as a lexical item that was formed by the substitution of a letter into the target word (cf., Landauer, & Streeter, 1973;Luce, & Pisoni, 1998). Word length was measured by the number of letters and the number of syllables in the word. Summary data for the variables that were examined are provided in Table I. Correspondence: Michael S. Vitevitch, Ph.D., Spoken Language Laboratory, Department of Psychology, 1415 Jayhawk Blvd., University of Kansas, Lawrence, KS 66045, USA. Tel: 1 785 864 9312. E-mail: mvitevit@ku.edu. 1 Neighborhood density refers to the number of words that are similar to a target word (Luce, & Pisoni, 1998). Words with many similar words, or neighbors, are said to have a dense neighborhood, whereas words with few neighbors are said to have a sparse neighborhood. 2 This subset was selected because information on all of the variables of interest could be found for only these items. Familiarity ratings were not provided for all of the words in the database. This greatly constrained our analysis. Correlation coefficients (all n = 1584) and significance values (using a Z-test) for the correlations were calculated for the relationships of interest. All repo...