Abstract
In this article, we introduce HelexKids, an online written-word database for Greek-speaking children in primary education (Grades 1 to 6). The database is organized on a grade-by-grade basis, and on a cumulative basis by combining Grade 1 with Grades 2 to 6. It provides values for Zipf, frequency per million, dispersion, estimated word frequency per million, standard word frequency, contextual diversity, orthographic Levenshtein distance, and lemma frequency. These values are derived from 116 textbooks used in primary education in Greece and Cyprus, producing a total of 68,692 different word types. HelexKids was developed to assist researchers in studying language development, educators in selecting age-appropriate items for teaching, as well as writers and authors of educational books for Greek/Cypriot children. The database is open access and can be searched online at www.helexkids.org.
Highlights
Psycholinguistic backgroundPsycholinguistic word databases have been developed mainly to contribute to cognitive research with adults
In this article, we introduce HelexKids, an online written-word database for Greek-speaking children in primary education (Grades 1 to 6)
This was less true of age of acquisition (AoA) ratings, there is uncertainty over whether AoA is as important a predictor in transparent orthographies as it is in opaque ones (Burani, Arduino, & Barca, 2007)
Summary
Psycholinguistic word databases have been developed mainly to contribute to cognitive research with adults. High-frequency words facilitate target recognition in lexical decision tasks, whereas the opposite is observed for low-frequency words (Mason, 1976; Monsell, 1991; van Heuven, Mandera, Keuleers, & Brysbaert, 2014) This effect was observed for the reaction times (RTs) in both the English Lexicon Project (Balota et al, 2007) and the British Lexicon Project (Keuleers, Lacey, Rastle, & Brysbaert, 2012). Measures of subjective frequency (e.g., Balota, Pilotti, & Cortese, 2001) and age of acquisition (AoA; e.g., Cortese & Khanna, 2007) were only able to explain additional naming or lexical decision variance when the objective frequency values used as predictors in the same analysis were taken from less reliable databases, such as the Kučera–Francis frequency norms (Brysbaert & Cortese, 2011) This was less true of AoA ratings, there is uncertainty over whether AoA is as important a predictor in transparent orthographies as it is in opaque ones (Burani, Arduino, & Barca, 2007). CD but not frequency was found to significantly affect fixation and gaze durations
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