ArticleBehavior research methods2024
HeLP: The Hebrew Lexicon project.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The English Pseudoword Lexicon Project (EPLeP): A resource for investigating pseudoword processing.Behavior research methods · 2026Article
- The Arabic Lexicon Project: Lexical decision data for 10,000 Modern Standard Arabic words.Behavior research methods · 2026Article
- Orthographic Neighbourhood Size Effects in Chinese Character Recognition: Small, Inconsistent, and Theoretically Ambiguous.Journal of cognition · 2026Article
- Bridging numerical and verbal probabilities: Construction and application of the Chinese Lexicon of Verbal Probability.Behavior research methods · 2025Article
- Simulating lexical decision times with large language models to supplement megastudies and crowdsourcing.Behavior research methods · 2025Article
- Kalimah norms: Ratings for 2,467 modern standard Arabic words on two scales.Behavior research methods · 2025Article
- Jiwar: A database and calculator for word neighborhood measures in 40 languages.Behavior research methods · 2025Article
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3 authors.
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Abstract
Lexicon projects (LPs) are large-scale data resources in different languages that present behavioral results from visual word recognition tasks. Analyses using LP data in multiple languages provide evidence regarding cross-linguistic differences as well as similarities in visual word recognition. Here we present the first LP in a Semitic language-the Hebrew Lexicon Project (HeLP). HeLP assembled lexical decision (LD) responses to 10,000 Hebrew words and nonwords, and naming responses to a subset of 5000 Hebrew words. We used the large-scale HeLP data to estimate the impact of general predictors (lexicality, frequency, word length, orthographic neighborhood density), and Hebrew-specific predictors (Semitic structure, presence of clitics, phonological entropy) of visual word recognition performance. Our results revealed the typical effects of lexicality and frequency obtained in many languages, but more complex impact of word length and neighborhood density. Considering Hebrew-specific characteristics, HeLP data revealed better recognition of words with a Semitic structure than words that do not conform to it, and a drop in performance for words comprising clitics. These effects varied, however, across LD and naming tasks. Lastly, a significant inhibitory effect of phonological ambiguity was found in both naming and LD. The implications of these findings for understanding reading in a Semitic language are discussed.
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