Rapid communication: Semantic size does not matter: “Bigger” words are not recognized faster

Previous studies have reported facilitatory effects of semantic richness on word recognition (e.g., Yap et al., 2012). These effects suggest that word meaning is an important contributor to lexical decision task (LDT) performance, but what are the effects of repeated LDT practice on these semantic contributions? The current study utilized data from the British Lexicon Project (BLP) in which 78 participants made lexical decision judgments for 28,730 words over 16 h. We used linear mixed effects to detect practice-driven changes in the explanatory variance accounted for by a set of lexical predictors that included numerous indices of relative semantic richness, including imageability, the number of senses and average radius of co-occurrence (ARC). Results showed that practice was associated with decreasing effects of predictors such as word frequency and imageability. In contrast, ARC effects were only slightly diminished with repeated practice, and effects of the number of senses and the age of acquisition were unaffected by practice. We interpret our results within a framework in which variables may dynamically influence lexical processing and the post-lexical decision making mechanisms that also contribute to LDT performance.

Previous studies have reported that semantic richness facilitates visual word recognition (see, e.g., Buchanan, Westbury, & Burgess, 2001; Pexman, Holyk, & Monfils, 2003). We compared three semantic richness measures--number of semantic neighbors (NSN), the number of words appearing in similar lexical contexts; number of features (NF), the number of features listed for a word's referent; and contextual dispersion (CD), the distribution of a word's occurrences across content areas-to determine their abilities to account for response time and error variance in lexical decision and semantic categorization tasks. NF and CD accounted for unique variance in both tasks, whereas NSN accounted for unique variance only in the lexical decision task. Moreover, each measure showed a different pattern of relative contribution across the tasks. Our results provide new clues about how words are represented and suggest that word recognition models need to accommodate each of these influences.

We examined the impact of risk-taking propensity on lexical decision performance in neurologically intact participants. Following the classification of participants into high- and low-risk-taking propensity groups using the Balloon Analogue Risk Task, we assessed lexical decision-making with behavioral responses (RTs, ACC), signal detection measures (hit, false alarm, miss, correct rejection) and qualitative processing using lexical variable effects (number of syllables, first syllable frequency, stem frequency, word frequency) between the groups. As a result, high-risk-taking individuals showed slower and less accurate word recognition, characterized by biased responses toward nonwords and words. However, both groups displayed similar patterns of lexical variable effects in word recognition, suggesting risk-taking propensity does not contribute to qualitative disparities in visual word recognition. These findings highlight the influential role of risk-taking propensity in shaping behavioral performance during lexical decision, emphasizing the need for further exploration of the intricate interplay between risk-taking behavior and lexical decision-making processes.

Aging, alzheimer's disease, and word recognition: A review of the recent literature

In the present study, the role of phonological information in visual word recognition is investigated by adopting a large-scale data-driven approach that exploits a new consistency measure based on distributional semantics methods. A recent study by Marelli, Amenta, and Crepaldi (2015) showed that the consistency between an orthographic string and the meanings to which it is associated in a large corpus is a relevant predictor in lexical decision experiments. Exploiting irregular mappings between orthography and phonology in English, we were able to compute a phonology-to-semantics consistency measure that dissociates from its orthographic counterpart and tested both measures on lexical decision data taken from the British Lexicon Project (Keuleers et al., 2012). Results showed that both orthography and phonology are activated during visual word recognition. However, their contribution is crucially determined by the extent to which they are informative of the word semantics, and phonology plays a crucial role in accessing word meaning.

Automatic activation of phonology in visual word recognition has been well documented. It has been attributed, at least in part, to the sequential development of speech and literacy which results in the tendency for children to match orthographical input to phonological representation at the early stages of literacy development (e.g., Bosman & De Groot, 1996; Davis, Castles, & Iakovidis, 1998; Goswami, 1993). In contrast to the development of speech prior to literacy in first language (L1) acquisition, second language (L2) learners typically learn to speak and read at the same time. This raises the question of whether phonology is also automatically activated in L2 reading. This issue was investigated in this study by exploring the pseudohomophone effect in L2 reading using a lexical decision task. The role of learners’ L1 was also examined by including both alphabetic and non-alphabetic learners of English as L2. A strong pseudohomophone effect was found in reaction time among native English speakers and alphabetic non-native speakers. Non-alphabetic learners, however, showed a pseudohomophone effect in error rate but not in reaction time. The findings were discussed in terms of how learning experiences and L1 background affect phonological activation in visual L2 word recognition.

Three experiments were conducted to test the phonological recoding hypothesis in visual word recognition. Most studies on this issue have been conducted using mono-syllabic words, eventually constructing various models of phonological processing. Yet in many languages including English, the majority of words are multisyllabic words. English includes words incorporating a silent letter in their letter strings (e.g., champagne). Such words provide an opportunity for investigating the role of phonological information in multi-syllabic words by comparing them to words that do not have the silent letter in the corresponding position (e.g., passenger). The performance focus is on the effects of removing letters from words with a silent letter and from words with a non-silent letter. Three representative lexical tasks--naming, semantic categorization, lexical decision--were conducted in the present study. Stimuli that excluded a silent letter (e.g., champa_ne) were processed faster than those that excluded a sounding letter (e.g., passen_er) in the naming (Experiment 1), the semantic categorization (Experiment 2), and the lexical decision task (Experiment 3). The convergent evidence from these three experiments provides seminal proof of phonological recoding in multi-syllabic word recognition.

This study examines the factors affecting word recognition in a language with a consistent system to map letters into sounds; Spanish. The influence of semantics on the recognition of words in languages with inconsistent mappings, such as English, is well documented. Not much is known for other languages. A lexical decision task and two category verification tasks with varying levels of semantic complexity were used. In contrast to English, none of the semantic variables entered into the analyses had a significant impact on lexical decision latencies or errors. Imageability showed an influence on responses to both category verification tasks while the effect of connectivity was marginally significant in the category verification task with the greatest semantic complexity. Results indicate that word recognition decisions can be made without the involvement of central components of the semantic system. The role of semantics in word recognition in languages with consistent spelling systems will be discussed.

Older and young adults' letter detection and lexical decision performance were examined as word frequency varied to determine whether there were age differences in word recognition. Allen and Madden (1989) found that older adults' pattern of reaction time (RT) across word frequency categories was different from young adults' pattern for a letter detection task. In this study, for both letter detection and lexical decision tasks, older adults exhibited a monotonically decreasing RT function as word frequency increased. However, young adults exhibited a nonmonotonic RT function across word frequency for the letter detection task but a monotonically decreasing RT function as word frequency increased for the lexical decision task. An expanded parallel input serial analysis model of word processing was hypothesized.

To what extent does semantic information play a functional role in visual word recognition? Theories of word recognition vary in the importance assigned to semantic information in visual lexical decision, with past research suggesting that the nature of the foils is a crucial determinant of semantic reliance. Here, we explored the conditions under which semantic variables influence lexical decision. Normal readers performed visual lexical decision tasks in which imageability and semantic priming were manipulated, with nonword foils varying systematically in their orthographic and phonological similarity to the real words. The effects of imageability and semantic priming increased in magnitude as nonword foils became progressively more wordlike. These findings provide a clear illustration of the flexible use of semantic information to support normal visual word recognition.

The impact of inverted text on visual word processing: An fMRI study

Most empirical work investigating the role of syllable frequency in visual word recognition has focused on the Spanish language, in which syllable frequency seems to produce a classic dissociation: inhibition in lexical decision tasks but facilitation in naming. In the present study, two experiments were run in German, using identical stimulus materials, in a lexical decision task and a naming task. In both tasks, there was an inhibitory effect for words with a high-frequency first syllable. This pattern of results, suggesting a stronger weight of lexical access in the naming process in German than in Spanish, is discussed with regard to the issue of stress assignment in the two languages and within the framework of word production models. Items, mean response latencies, and accuracy rates per item for both experiments can be downloaded from www.psychonomic.org/archive.

Masked Orthographic and Phonological Priming in Visual Word Recognition and Naming: Cross-Task Comparisons

Visual word recognition in young and older adults: A study of cohort effects for lexical variables

This study examined the effect of neighborhood size on the recognition of Japanese katakana words. Neighbors of a given katakana word were defined in two ways; kana-level neighbor is a katakana word that can be constructed by changing one letter of the target word preserving the other letter positions, and phoneme-level neighbor is a katakana word that can be created by changing one phoneme (consonant or vowel) preserving the other phoneme positions of the target. In Experiment 1, 30 university students participated in a lexical decision task and numbers of kana-level neighbor were manipulated. The result showed that the number of kana-level neighbor had an inhibitory effect on lexical decision of low familiarity katakana words. In Experiment 2, 30 university students participated in a lexical decision task and numbers of phoneme-level neighbor were manipulated. The result showed that the number of phoneme-level neighbor had no effect on lexical decision of katakana words. These results suggest that neighbors affect each other on their orthographic representation in the recognition of low familiarity Japanese katakana words.