Taboo language across the globe: A multi-lab study.

The use of taboo words represents one of the most common and arguably universal linguistic behaviors, fulfilling a wide range of psychological and social functions. However, in the scientific literature, taboo language is poorly characterized, and how it is realized in different languages and populations remains largely unexplored. Here we provide a database of taboo words, collected from different linguistic communities (Study 1, N = 1046), along with their speaker-centered semantic characterization (Study 2, N = 455 for each of six rating dimensions), covering 13 languages and 17 countries from all five permanently inhabited continents. Our results show that, in all languages, taboo words are mainly characterized by extremely low valence and high arousal, and very low written frequency. However, a significant amount of cross-country variability in words' tabooness and offensiveness proves the importance of community-specific sociocultural knowledge in the study of taboo language.

Malay Lexicon Project 2: Morphology in Malay word recognition.

Morphological processing in visual word recognition has been extensively studied in a few languages, but other languages with interesting morphological systems have received little attention. Here, we examined Malay, an Austronesian language that is agglutinative. Agglutinative languages typically have a large number of morphemes per word. Our primary aim was to facilitate research on morphological processing in Malay by augmenting the Malay Lexicon Project (a database containing lexical information for almost 10,000 words) to include a breakdown of the words into morphemes as well as morphological properties for those morphemes. A secondary goal was to determine which morphological variables influence Malay word recognition. We collected lexical decision data for Malay words that had one prefix and one suffix, and first examined the predictive power of 15 morphological and four lexical variables on response times (RT). Of these variables, two lexical and three morphological variables emerged as strong predictors of RT. In GAMM models, we found a facilitatory effect of root family size, and inhibitory effects of prefix length and prefix percentage of more frequent words (PFMF) on RT. Next, we explored the interactions between overall word frequency and several of these predictors. Of particular interest, there was a significant word frequency by root family size interaction in which the effect of root family size is stronger for low-frequency words. We hope that this initial work on morphological processing in Malay inspires further research in this and other understudied languages, with the goal of developing a universal theory of morphological processing.

The Chinese Lexicon Project II: A megastudy of speeded naming performance for 25,000+ traditional Chinese two-character words.

Using a megastudy approach, (Tse et al., 2017 Behavior Research Methods, 49, 1503-1519) established a large-scale repository of lexical variables and lexical decision responses for more than 25,000 traditional Chinese two-character words. In the current study, we expand their database by collecting norms for speeded naming reaction times (RTs) and accuracy rates, and compiling more lexical variables (e.g., phonological consistency and semantic neighborhood size). Following Tse et al.'s procedure, about 33 college-aged native Cantonese speakers in Hong Kong read aloud each word. We conducted item-level regression analyses to test the relative predictive power of orthographic variables (e.g., stroke count), phonological variables (e.g., phonological consistency), and semantic variables (e.g., semantic transparency) in naming performance. We also compared the effects of lexical variables on naming performance and Tse et al.'s lexical decision performance to examine the extent to which effects are task-specific or task-general. Freely accessible to the research community, this resource provides a valuable addition to other influential mega-databases, such as the English Lexicon Project (Balota et al., 2004 Journal of Experimental Psychology: General, 133, 283-316), and furthers our understanding of Chinese word recognition processes.

The Auditory English Lexicon Project: A multi-talker, multi-region psycholinguistic database of 10,170 spoken words and nonwords.

The Auditory English Lexicon Project (AELP) is a multi-talker, multi-region psycholinguistic database of 10,170 spoken words and 10,170 spoken nonwords. Six tokens of each stimulus were recorded as 44.1-kHz, 16-bit, mono WAV files by native speakers of American, British, and Singapore English, with one from each gender. Intelligibility norms, as determined by average identification scores and confidence ratings from between 15 and 20 responses per token, were obtained from 561 participants. Auditory lexical decision accuracies and latencies, with between 25 and 36 responses per token, were obtained from 438 participants. The database also includes a variety of lexico-semantic variables and structural indices for the words and nonwords, as well as participants' individual difference measures such as age, gender, language background, and proficiency. Taken together, there are a total of 122,040 sound files and over 4 million behavioral data points in the AELP. We describe some of the characteristics of this database. This resource is freely available from a website ( https://inetapps.nus.edu.sg/aelp/ ) hosted by the Department of Psychology at the National University of Singapore.

Consistency norms for 37,677 english words.

Consistency reflects the mapping between spelling and sound. That is, a word is feedforward consistent if its pronunciation matches that of similarly spelled words, and feedback consistent if its spelling matches that of similar pronounced words. For a quasi-regular language such as English, the study of consistency effects on lexical processing has been limited by the lack of readily accessible norms. In order to improve current methodological resources, feedforward (spelling-to-sound) and feedback (sound-to-spelling) consistency measures for 37,677 English words were computed. The consistency measures developed here are operationalized at the composite level for multisyllabic words, and at different sub-syllabic segments (onset, nucleus, coda, oncleus, and rime) for both monosyllabic and multisyllabic words. These measures constitute the largest database of English consistency norms to be developed, and will be a valuable resource for researchers to explore the effects of consistency on lexical processes, such as word recognition and spelling. The norms are available as supplementary material with this paper.

The role of semantic transparency in visual word recognition of compound words: A megastudy approach.

Previous studies on visual word recognition of compound words have provided evidence for the influence of lexical properties (e.g., length, frequency) and semantic transparency (the degree of relatedness in meaning between a compound word and its constituents) in morphological processing (e.g., to what extent is doorbell influenced by door and bell?). However, a number of questions in this domain, which are difficult to address with the available methodological resources, are still unresolved. We collected semantic transparency scores for 2,861 compound words at the constituent level (i.e., how strongly the overall meaning of a compound word is related to that of each constituent) and analyzed their effects on speeded pronunciation and lexical decision performance for the compound words using the English Lexicon Project (http://elexicon.wustl.edu) data. The results from both tasks indicated that our human-judged semantic transparency ratings for both the first and second constituents play a significant role in compound word processing. Moreover, additional analyses indicated that the human-judged semantic transparency scores at the constituent level accounted for more variance in compound word recognition performance than did either whole-word semantic transparency scores or corpus-based semantic distance scores.

Quantifying sensorimotor experience: Body-object interaction ratings for more than 9,000 English words.

Ratings of body-object interaction (BOI) measure the ease with which the human body can interact with a word's referent. Researchers have studied the effects of BOI in order to investigate the relationships between sensorimotor and cognitive processes. Such efforts could be improved, however, by the availability of more extensive BOI norms. In the present work, we collected BOI ratings for over 9,000 words. These new norms show good reliability and validity and have extensive overlap with the words used both in other lexical and semantic norms and in the available behavioral megastudies (e.g., the English Lexicon Project, Balota, Yap, Cortese, Hutchison, Kessler, & Loftis in Behavior Research Methods, 39, 445-459, 2007; and the Calgary Semantic Decision Project, Pexman, Heard, Lloyd, & Yap in Behavior Research Methods, 49, 407-417, 2017). In analyses using the new BOI norms, we found that high-BOI words tended to be more concrete, more graspable, and more strongly associated with sensory, haptic, and visual experience than are low-BOI words. When we used the new norms to predict response latencies and accuracy data from the behavioral megastudies, we found that BOI was a stronger predictor of responses in the semantic decision task than in the lexical decision task. These findings are consistent with a dynamic, multidimensional account of lexical semantics. The norms described here should be useful for future research examining the effects of sensorimotor experience on performance in tasks involving word stimuli.

PiSCES: Pictures with social context and emotional scenes with norms for emotional valence, intensity, and social engagement.

Picture databases are commonly used in experimental work on various aspects of emotion processing. However, existing standardized facial databases, typically used to explore emotion recognition, can be augmented with more contextual information for studying emotion and social perception. Moreover, the perception of social engagement, i.e., the degree of interaction or engagement inferred between the people in target pictures, has not been measured. In this paper, we describe the development of a database comprising 203 black-and-white line drawings depicting people within various situational contexts, and normed on perceived emotional valence, intensity, and social engagement, a new construct. Analyses of ratings collected from 62 young adults (30 females, 32 males; mean age 22 years) revealed the typical quadratic relationship between valence and intensity, i.e., stimuli that are more emotionally charged, whether positively or negatively valenced, are more intense than emotionally-neutral stimuli. Moreover, the results showed significant linear and quadratic relationships between valence and social engagement ratings, indicating that emotionally-charged social scenes were perceived as more engaging than emotionally-neutral social scenes. This new database will facilitate investigations of how people perceive and interpret social and emotional information in everyday interactions, and is offered as a resource to experimenters involved in social and/or emotional processing research.

The Calgary semantic decision project: concrete/abstract decision data for 10,000 English words.

Psycholinguistic research has been advanced by the development of word recognition megastudies. For instance, the English Lexicon Project (Balota et al., 2007) provides researchers with access to naming and lexical-decision latencies for over 40,000 words. In the present work, we extended the megastudy approach to a task that emphasizes semantic processing. Using a concrete/abstract semantic decision (i.e., does the word refer to something concrete or abstract?), we collected decision latencies and accuracy rates for 10,000 English words. The stimuli were concrete and abstract words selected from Brysbaert, Warriner, and Kuperman's (2013) comprehensive list of concreteness ratings. In total, 321 participants provided responses to 1,000 words each. Whereas semantic effects tend to be quite modest in naming and lexical decision studies, analyses of the concrete/abstract semantic decision responses show that a substantial proportion of variance can be explained by semantic variables. The item-level and trial-level data will be useful for other researchers interested in the semantic processing of concrete and abstract words.

The Chinese Lexicon Project: A megastudy of lexical decision performance for 25,000+ traditional Chinese two-character compound words.

Using a megastudy approach, we developed a database of lexical variables and lexical decision reaction times and accuracy rates for more than 25,000 traditional Chinese two-character compound words. Each word was responded to by about 33 native Cantonese speakers in Hong Kong. This resource provides a valuable adjunct to influential mega-databases, such as the Chinese single-character, English, French, and Dutch Lexicon Projects. Three analyses were conducted to illustrate the potential uses of the database. First, we compared the proportion of variance in lexical decision performance accounted for by six word frequency measures and established that the best predictor was Cai and Brysbaert's (PLoS One, 5, e10729, 2010) contextual diversity subtitle frequency. Second, we ran virtual replications of three previously published lexical decision experiments and found convergence between the original experiments and the present megastudy. Finally, we conducted item-level regression analyses to examine the effects of theoretically important lexical variables in our normative data. This is the first publicly available large-scale repository of behavioral responses pertaining to Chinese two-character compound word processing, which should be of substantial interest to psychologists, linguists, and other researchers.

Semantic richness effects in lexical decision: The role of feedback.

Across lexical processing tasks, it is well established that words with richer semantic representations are recognized faster. This suggests that the lexical system has access to meaning before a word is fully identified, and is consistent with a theoretical framework based on interactive and cascaded processing. Specifically, semantic richness effects are argued to be produced by feedback from semantic representations to lower-level representations. The present study explores the extent to which richness effects are mediated by feedback from lexical- to letter-level representations. In two lexical decision experiments, we examined the joint effects of stimulus quality and four semantic richness dimensions (imageability, number of features, semantic neighborhood density, semantic diversity). With the exception of semantic diversity, robust additive effects of stimulus quality and richness were observed for the targeted dimensions. Our results suggest that semantic feedback does not typically reach earlier levels of representation in lexical decision, and further reinforces the idea that task context modulates the processing dynamics of early word recognition processes.

The Chinese Lexicon Project: a repository of lexical decision behavioral responses for 2,500 Chinese characters.

The Chinese language has more native speakers than any other language, but research on the reading of Chinese characters is still not as well-developed as it is for the reading of words in alphabetic languages. Two areas notably lacking are the paucity of megastudies in Chinese and the relatively infrequent use of the lexical decision paradigm to investigate single-character recognition. The Chinese Lexicon Project, described in this article, is a database of lexical decision latencies for 2,500 Chinese single characters in simplified script, collected from a sample of native mainland Chinese (Mandarin) speakers (N = 35). This resource will provide a valuable adjunct to influential mega-databases, such as the English, French, and Dutch Lexicon Projects. Using two separate analyses, some advantages associated with megastudies are exemplified. These include the selection of the strongest measure to represent Chinese character frequency (Cai & Brysbaert's (PLoS ONE 5(6): e10729, 2010) subtitle contextual diversity frequency count), and the conducting of virtual studies to replicate and clarify existing findings. The unique morpho-syllabic nature of the Chinese writing system makes it a valuable case study for functional language contrasts. Moreover, this is the first publicly available large-scale repository of behavioral responses pertaining to Chinese language processing (the behavioral dataset is attached to this article, as a supplemental file available for download). For these reasons, the data should be of substantial interest to psychologists, linguists, and other researchers.

A behavioral database for masked form priming.

Reading involves a process of matching an orthographic input with stored representations in lexical memory. The masked priming paradigm has become a standard tool for investigating this process. Use of existing results from this paradigm can be limited by the precision of the data and the need for cross-experiment comparisons that lack normal experimental controls. Here, we present a single, large, high-precision, multicondition experiment to address these problems. Over 1,000 participants from 14 sites responded to 840 trials involving 28 different types of orthographically related primes (e.g., castfe-CASTLE) in a lexical decision task, as well as completing measures of spelling and vocabulary. The data were indeed highly sensitive to differences between conditions: After correction for multiple comparisons, prime type condition differences of 2.90 ms and above reached significance at the 5% level. This article presents the method of data collection and preliminary findings from these data, which included replications of the most widely agreed-upon differences between prime types, further evidence for systematic individual differences in susceptibility to priming, and new evidence regarding lexical properties associated with a target word's susceptibility to priming. These analyses will form a basis for the use of these data in quantitative model fitting and evaluation and for future exploration of these data that will inform and motivate new experiments.

Neighborhood in Chinese lexicon: A megastudy analysis of lexical decision and naming of two-character Chinese words.

The present study examines the impact of neighborhood size (number of other two-character words sharing the same character at the same position) on Chinese lexical processing, along with its joint effects with variables such as character frequency, word frequency, and semantic transparency. Previous factorial experiments have yielded conflicting results that are difficult to reconcile with existing models (Li et al., 2015, 2017). To provide high-powered tests for these theoretically important effects on visual word recognition, we leveraged the megastudy approach and used linear mixed-effect analyses to investigate lexical decision and naming responses to a large pool of two-character Chinese words (N > 17,000) sourced from Tse et al.'s (2017, 2023) database. In all analyses we controlled for extraneous orthographic (e.g., stroke count), phonological (e.g., consistency), and semantic (e.g., transparency) variables. In addition to evaluating Li et al.'s (2015, 2017) models, we also investigated whether the parallel dual-route mechanism, which entails lexical access via whole-word or character decomposition-then-composition, could account for neighborhood size effect and its interactions in lexical decision and naming. Finally, we discuss the implications of our findings on the specificity of lexical effects with regard to character position and lexical processing task. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

What we mean when we say semantic: Toward a multidisciplinary semantic glossary.

Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, "concept" has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate semantic theories remain underspecified and/or opaque. Weak construct specificity is among the leading causes of the replication crisis now facing psychology and related fields. Term ambiguity hinders cross-disciplinary communication, falsifiability, and incremental theory-building. Numerous cognitive subdisciplines (e.g., vision, affective neuroscience) have recently addressed these limitations via the development of consensus-based guidelines and definitions. The project to follow represents our effort to produce a multidisciplinary semantic glossary consisting of succinct definitions, background, principled dissenting views, ratings of agreement, and subjective confidence for 17 target constructs (e.g., abstractness, abstraction, concreteness, concept, embodied cognition, event semantics, lexical-semantic, modality, representation, semantic control, semantic feature, simulation, semantic distance, semantic dimension). We discuss potential benefits and pitfalls (e.g., implicit bias, prescriptiveness) of these efforts to specify a common nomenclature that other researchers might index in specifying their own theoretical perspectives (e.g., They said X, but I mean Y).

Sensory experience ratings for over 5,000 mono- and disyllabic words.

Sensory experience ratings (SERs) reflect the extent to which a word evokes a sensory and/or perceptual experience in the mind of the reader. Juhasz, Yap, Dicke, Taylor, and Gullick (Quarterly Journal of Experimental Psychology 64:1683-1691, 2011) demonstrated that SERs predict a significant amount of variance in lexical-decision response times in two megastudies of lexical processing when a large number of established psycholinguistic variables are controlled for. Here we provide the SERs for the 2,857 monosyllabic words used in the Juhasz et al. study, as well as newly collected ratings on 3,000 disyllabic words. New analyses with the combined set of words confirmed that SERs predict a reliable amount of variance in the lexical-decision response times and naming times from the English Lexicon Project (Balota, Yap, Cortese, Hutchison, Kessler, Loftus, & Treiman, Behavior Research Methods 39:445-459, 2007) when a large number of surface, lexical, and semantic variables are statistically controlled for. The results suggest that the relative availability of sensory/perceptual information associated with a word contributes to lexical-semantic processing.

The past tense inflection project (PTIP): speeded past tense inflections, imageability ratings, and past tense consistency measures for 2,200 verbs.

The processes involved in past tense verb generation have been central to models of inflectional morphology. However, the empirical support for such models has often been based on studies of accuracy in past tense verb formation on a relatively small set of items. We present the first large-scale study of past tense inflection (the Past Tense Inflection Project, or PTIP) that affords response time, accuracy, and error analyses in the generation of the past tense form from the present tense form for over 2,000 verbs. In addition to standard lexical variables (such as word frequency, length, and orthographic and phonological neighborhood), we have also developed new measures of past tense neighborhood consistency and verb imageability for these stimuli, and via regression analyses we demonstrate the utility of these new measures in predicting past tense verb generation. The PTIP can be used to further evaluate existing models, to provide well controlled stimuli for new studies, and to uncover novel theoretical principles in past tense morphology.

The semantic priming project.

Speeded naming and lexical decision data for 1,661 target words following related and unrelated primes were collected from 768 subjects across four different universities. These behavioral measures have been integrated with demographic information for each subject and descriptive characteristics for every item. Subjects also completed portions of the Woodcock-Johnson reading battery, three attentional control tasks, and a circadian rhythm measure. These data are available at a user-friendly Internet-based repository ( http://spp.montana.edu ). This Web site includes a search engine designed to generate lists of prime-target pairs with specific characteristics (e.g., length, frequency, associative strength, latent semantic similarity, priming effect in standardized and raw reaction times). We illustrate the types of questions that can be addressed via the Semantic Priming Project. These data represent the largest behavioral database on semantic priming and are available to researchers to aid in selecting stimuli, testing theories, and reducing potential confounds in their studies.

Short report: Social processing in non-emotional contexts by children with and without autism spectrum disorders (ASD).

BACKGROUND: Children with autism spectrum disorders (ASD) have been reported to show social-processing deficits in forced-choice social judgment or story interpretation tasks. However, these methods may limit examination of social-processing within a set of acceptable answers. In this pilot study, we propose a novel method predicated on the premise that language carries social information and validate this method to measure social perception in ASD. METHOD: 20 children with ASD and 20 typically developing (TD) children matched-pairwise on age (5-12 years), gender, and non-verbal IQ, described pictures of people in everyday situations varying on extent of social engagement. Their social language production was examined in high- and low-social picture conditions. RESULTS: The TD group produced significantly more social language in high-social than low-social picture conditions, with a large effect size (d = 3.15). The TD group produced significantly more social language than the ASD group under high-social conditions (p< .001, η2p = 0.24), but were not significantly different under low-social conditions (p < .05). CONCLUSIONS AND IMPLICATIONS: The study presents proof-of-concept that expressed language carries social information. The findings indicate that social language may be used to measure social perception and examine differences in ASD, with potential applications for other clinical groups with social-processing challenges.