Valence and arousal ratings for 11,310 simplified Chinese words

The bright side of words: Norms for 9000 Spanish words in seven discrete positive emotions

In recent years, assumptions about the existence of a single construct of happiness that accounts for all positive emotions have been questioned. Instead, several discrete positive emotions with their own neurobiological and psychological mechanisms have been proposed. Of note, the effects of positive emotions on language processing are not yet properly understood. Here we provide a database for a large set of 9000 Spanish words scored by 3437 participants in the positive emotions of awe, contentment, amusement, excitement, serenity, relief, and pleasure. We also report significant correlations between discrete positive emotions and several affective (e.g., valence, arousal, happiness, negative discrete emotions) and lexico-semantic (e.g., frequency of use, familiarity, concreteness, age of acquisition) characteristics of words. Finally, we analyze differences between words conveying a single emotion ("pure" emotion words) and those denoting more than one emotion ("mixed" emotion words). This study will provide researchers a rich source of information to do research that contributes to expanding the current knowledge on the role of positive emotions in language. The norms are available at https://doi.org/10.6084/m9.figshare.21533571.v2.

Shining the "Light" on Moral Foundations: Light Versus Dark Personality Relates More Strongly to Moral Foundations

Endorsement of the moral foundations specified by Moral Foundations Theory (MFT) can sometimes fail to relate negatively to certain dispositions indicative of bad moral character. This evidence has fueled some concerns over whether the moral foundations in MFT are "moral." To increase understanding of how moral foundations relate to moral character, we proposed the "asymmetry hypothesis." This hypothesis states that "good" character is a more powerful predictor of each moral foundation than "bad" character. Put differently, there is an asymmetry in the strength (not merely direction) with which the moral foundations relate to encompassing indicators of good versus bad character. This is important because it suggests that links between the moral foundations and moral character will be somewhat concealed by focusing on bad character and/or not considering encompassing indicators of good character. A sample of college participants (N = 514) rated their endorsement of moral foundations and completed two sets of measures that represented encompassing indicators of both good and bad character. The data supported the asymmetry hypothesis: Each encompassing good-character assessment was a stronger predictor of each moral foundation than its corresponding encompassing bad-character assessment. Furthermore, variance unique to any good-character assessment had about moderate relations with each moral foundation, but variance unique to any bad-character assessment had no more than small relations with each moral foundation. The study provides a more nuanced understanding of how moral character relates to moral foundations and highlights utility in considering moral character as multidimensional.

Chinese Emotional Speech Audiometry Project (CESAP): Establishment and Validation of a New Material Set With Emotionally Neutral Disyllabic Words

PURPOSE

The Chinese Emotional Speech Audiometry Project (CESAP) aims to establish a new material set for Chinese speech audiometry tests, which can be used in both neutral and emotional prosody settings. As the first endeavor of CESAP, this study demonstrates the development of the material foundation and reports its validation in neutral prosody.

METHOD

In the development step, 40 phonetically balanced word lists consisting of 30 Chinese disyllabic words with neutral valence were first generated. In a following affective rating experiment, 35 word lists were qualified for validation based on the familiarity and valence ratings from 30 normal-hearing (NH) participants. For validation, performance-intensity functions of each word list were fitted with responses from 60 NH subjects under six presentation levels (-1, 3, 5, 7, 11, and 20 dB HL). The final material set was determined by the intelligibility scores at each decibel level and the mean slopes.

RESULTS

First, 35 lists satisfied the criteria of phonetic balance, limited repetitions, high familiarity, and neutral valence and were selected for validation. Second, 15 lists were compiled in the final material set based on the pairwise differences in intelligibility scores and the fitted 20%-80% slopes. The established material set had high reliability and validity and was sensitive to detect intelligibility changes (50% slope: 6.20%/dB; 20%-80% slope: 5.45%/dB), with small covariance of variation for thresholds (15%), 50% slope (12%), and 20%-80% slope (12%).

CONCLUSION

Our final material set of 15 word lists takes the initiative to control the emotional aspect of audiometry tests, which enriches available Mandarin speech recognition materials and warrants future assessments in emotional prosody among populations with hearing impairments.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.25742814.

Assessing lexical ambiguity of simplified Chinese characters: Plurality and relatedness of character meanings

Lexical ambiguity is pervasive among Chinese characters as many of them are polysemantic, with one orthographic form carrying unrelated meanings, related meanings, or sometimes both unrelated and related meanings. A large-scale database with ambiguity measures for simplified Chinese characters has yet to be developed, which could greatly benefit psycholinguistic research on the Chinese language or cross-language comparisons. This article reports two sets of ratings by native speakers, the perceived number of meanings (pNoM) for 4,363 characters and the perceived relatedness of meanings (pRoM) for a subset of 1,053 characters. These rating-based ambiguity measures capture the representational nuance about a character's meanings stored in average native speakers' mental lexicon, which tends to be obscured by dictionary- and corpus-based ambiguity measures. Consequently, they each account for a reliable portion of variance in the efficiency of character processing, above and beyond the effects of character frequency, age of acquisition, and other types of ambiguity measures. Theoretical and empirical implications with regard to the plurality and the relatedness of character meanings, the two focal aspects of debate on lexical ambiguity, are discussed.

The organization of the semantic network as reflected by the neural correlates of six semantic dimensions

Multiple sensory-motor and non-sensory-motor dimensions have been proposed for semantic representation, but it remains unclear how the semantic system is organized along them in the human brain. Using naturalistic fMRI data and large-scale semantic ratings, we investigated the overlaps and dissociations between the neural correlates of six semantic dimensions: vision, motor, socialness, emotion, space, and time. Our findings revealed a more complex semantic atlas than what is predicted by current neurobiological models of semantic representation. Brain regions that are selectively sensitive to specific semantic dimensions were found both within and outside the brain networks assumed to represent multimodal general and/or abstract semantics. Overlaps between the neural correlates of different semantic dimensions were mainly found inside the default mode network, concentrated in the left anterior superior temporal gyrus and angular gyrus, which have been proposed as two connector hubs that bridge the multimodal experiential semantic system and the language-supported semantic system.

Comparing word recognition in simplified and traditional Chinese: A megastudy approach

Although it is well established that the visual complexity of a written word can influence processing, it is far less clear from a cross-script perspective, whether the overall visual complexity of the entire written lexicon also affects word recognition. This question can be answered with the data in megastudy of lexical decision in Chinese (MELD-CH), which was developed with over 800 participants responding to 12,587 simplified and traditional Chinese words. The results showed that lexical decision was slower but more accurate in simplified Chinese, which has about 22.5% less strokes, than traditional Chinese. This pattern could not be explained by a speed-accuracy trade-off. Moderate correlations were found in response times and error rates between the two scripts, indicating considerable overlap in processing despite the script difference. In addition, (generalised) linear mixed-effects modelling was used to examine whether the simplified and traditional Chinese groups differed in sensitivity towards linguistic variables. The results showed that the effects of word frequency, word length, and number of strokes were stronger in recognising simplified Chinese words, whereas the effects of number of words formed and number of meanings of the constituent characters were stronger in traditional Chinese. These results suggested that the visual-perceptual processing demands of simplified Chinese might force readers to focus more on local properties of the words, making them less sensitive to global properties that are defined over the entire lexicon. Finally, limitations and alternative explanations of the results were discussed.

Sentiment annotations for 3827 simplified Chinese characters

Sentiment analysis in Chinese natural language processing has been largely based on words annotated with sentiment categories or scores. Characters, however, are the basic orthographic, phonological, and in most cases, semantic units in the Chinese language. This study collected sentiment annotations for 3827 characters. The ratings demonstrated high levels of reliability, and were validated through a comparison with the ratings of some characters' word equivalents reported in a previous norming study. Relations with other lexico-semantic variables and character processing efficiency were investigated. Furthermore, analyses of the association between constituent character valence and word valence revealed semantic compositionality and sentiment fusion characteristic of larger Chinese linguistic units. These ratings for characters, expanding current Chinese sentiment lexicons, can be utilized for the purposes of more precise stimuli assessment in research on Chinese character processing and more efficient sentiment analysis equipped with annotations of single-character words.

CROWD-5e: A Croatian psycholinguistic database of affective norms for five discrete emotions

The present study introduces affective norms for a set of 3022 Croatian words on five discrete emotions: happiness, anger, sadness, fear, and disgust. The words were rated by 1239 Croatian native speakers. Each participant rated 251 or 252 words for one discrete emotion on a five-point Likert scale. The analyses revealed a significant relationship between discrete emotions, emotional dimensions (valence and arousal), and other psycholinguistic properties of words. In addition, small sex differences in discrete emotion ratings were found. Finally, the analysis of the distribution of words among discrete emotions allowed a distinction between "pure" words (i.e., those mostly related to a single emotion) and "mixed" words (i.e., those related to more than one emotion). The new database extends the existing Croatian affective norms collected from a dimensional conception of emotions, providing the necessary resource for future experimental investigation in Croatian within the theoretical framework of discrete emotions.

Emotional Prototypicality Ratings for 636 Chinese Words: A Database of Chinese Words with Affective Information

Exemplars of concepts vary in their degree of prototypicality. This is also true for emotion concepts. This study presents prototypicality ratings for a large set of Chinese words. The database contains 636 potential Chinese emotion words (i.e., words that directly express particular emotions, like " happy" and " sad"), from different grammatical categories. Native Chinese speakers rated the words in terms of emotional prototypicality. The database also contains values for valence, arousal, and emotionality. The analyses of the ratings revealed that 502 out of 636 words had a high prototypicality value (value equal to or above three on a 1-to-5 scale), the most prototypical words being negative and high-arousal words. The analyses also indicated that the emotional prototypicality of a word was positively related to both arousal and emotionality, and negatively related to valence. Among these variables, arousal was the most important contributor. Similar results have been found in studies conducted in other languages. This will be a useful resource for researchers interested in studying emotion words in the Chinese language and for those interested in cross-linguistic comparisons.

The good, the bad, and the ambivalent: Extrapolating affective values for 38,000+ Chinese words via a computational model

Word affective ratings are important tools in psycholinguistic research, natural language processing, and many other fields. However, even for well-studied languages, such norms are usually limited in scale. To extrapolate affective (i.e., valence and arousal) values for words in the SUBTLEX-CH database (Cai & Brysbaert, 2010, PLoS ONE, 5(6):e10729), we implemented a computational neural network which captured how words' vector-based semantic representations corresponded to the probability densities of their valence and arousal. Based on these probability density functions, we predicted not only a word's affective values, but also their respective degrees of variability that could characterize individual differences in human affective ratings. The resulting estimates of affective values largely converged with human ratings for both valence and arousal, and the estimated degrees of variability also captured important features of the variability in human ratings. We released the extrapolated affective values, together with their corresponding degrees of variability, for over 38,000 Chinese words in the Open Science Framework ( https://osf.io/s9zmd/ ). We also discussed how the view of embodied cognition could be illuminated by this computational model.

ANCW: Affective norms for 4030 Chinese words

Affective information contained in words is gaining increased attention among neurolinguists and psycholinguists around the world. This study established the Affective Norms for Chinese Words (ANCW) with valence, arousal, dominance, and concreteness ratings for 4030 words that were Chinese adaptations of the CET-4 (The National College English Test Band 4) official syllabus. Despite the existing Chinese affective norms such as the Chinese Affective Words System (CAWS), the ANCW provides much more and richer Chinese vocabulary. By using 7-point (ranging from 1 to 7) Likert scales in a paper-and-pencil procedure, we obtained ratings for all variables from 3717 Chinese undergraduates. The ANCW norms possessed good response reliability and were compatible with prior normative studies in Chinese. The pairwise correlation analysis revealed quadratic relations between valence and arousal, arousal and dominance, as well as valence and concreteness. Additionally, valence and dominance, as well as arousal and concreteness, presented a linear correlation, and concreteness and dominance were correlated. The ANCW provides reliable and standardized stimulus materials for further research involving emotional language processing.

Affective Norms for Chinese Words of Typical Life Scenes Rated by Older Adults (ANCO)

The present study provides an affective norm collected from older adults for 1,050 Chinese words that are closely related to the typical life scenes commonly encountered by older adults. Data were collected for key affective dimensions of valence and arousal using the method of adapted Self-Assessment Manikin (Bradley & Lang, 1994) in a paper-and-pencil procedure. The results showed that the current database (ANCO) was of high reliability and validity. Valence and arousal were in an asymmetrically quadratic relationship in the valence-by-arousal space; i.e., older adults rated negative words as the highest arousing, followed by positive and neutral words. In addition, by comparing affective ratings of the shared words between the present norm collected from older Chinese adults and previous norms collected from young Chinese adults (Wang et al., 2008; Yao et al., 2017; Yu et al., 2016), we found that compared with young adults, older ones perceived negative words as more negative and more arousing, and perceived positive words as more positive and less arousing. ANCO can serve as a valuable source of information for age-related affective research and help explicate the effects of emotion on linguistic and cognitive processes.

Beyond Valence and Arousal: The Role of Age of Acquisition in Emotion Word Recognition

Although the age of acquisition (AoA) effect has been established in numerous studies, how emotion word processing is modulated by AoA, along with affective factors, such as valence and arousal, is not well understood. Hence, the influence of age of acquisition (AoA), valence, and arousal on Chinese emotion word recognition was investigated through two experiments. Experiment 1 (N = 30) adopted a valence judgment task to explore the roles of valence and AoA in emotion word recognition, whereas Experiment 2 (N = 30) used a lexical decision task to examine AoA and arousal effects. A mixed linear effects model was used to examine the fixed effects of AoA, arousal, and valence and random effects of participants and items. The findings provided confirmation of the effects of AoA, valence, and arousal. Notably, AoA and valence had independent influences on emotion word recognition, as evidenced by longer reaction times for later-acquired words and negative words compared to early-acquired words and positive words (all ps < 0.05). On the other hand, AoA and arousal demonstrated interdependent effects on emotion word recognition. Specifically, a larger AoA effect was observed for low-arousing words (all ps < 0.05), whereas the influence of AoA on high-arousing words was insignificant. These results underscored the significance of AoA in processing emotion words and highlighted the interplay between AoA and arousal. Additionally, it is plausible to suggest that the AoA effect was primarily perceptual rather than semantic in nature.

Familiarity ratings for 24,325 simplified Chinese words

The present work collected familiarity norms for 20,275 two-character, 1231 three-character, and 2819 four-character simplified Chinese words from 1300 native speakers of Mandarin Chinese. The familiarity of each word was rated on a 7-point scale by at least 21 participants. The results supported the reliability and validity of the present familiarity ratings, which is the first large familiarity database for Chinese in the field. These familiarity norms can be downloaded from the supplemental materials. Furthermore, the contribution of familiarity to Chinese lexical processing was investigated using the present familiarity ratings and previous data (lexical features and visual lexical decision), mainly from two major Chinese lexicon projects, MELD-SCH and CLP. Regression analysis suggests that familiarity explained a substantial percentage of the variance in lexical processing of both simplified and traditional Chinese words, over and above the effects of word frequency and other lexical features, including age of acquisition (AoA). Further analysis identified a significantly greater familiarity effect for lower-frequency words than that for higher-frequency words. Together, among the first, our findings support the important contribution of familiarity with Chinese words to lexical processing, especially for low-frequency words.

A large dataset of semantic ratings and its computational extension

Evidence from psychology and cognitive neuroscience indicates that the human brain's semantic system contains several specific subsystems, each representing a particular dimension of semantic information. Word ratings on these different semantic dimensions can help investigate the behavioral and neural impacts of semantic dimensions on language processes and build computational representations of language meaning according to the semantic space of the human cognitive system. Existing semantic rating databases provide ratings for hundreds to thousands of words, which can hardly support a comprehensive semantic analysis of natural texts or speech. This article reports a large database, the Six Semantic Dimension Database (SSDD), which contains subjective ratings for 17,940 commonly used Chinese words on six major semantic dimensions: vision, motor, socialness, emotion, time, and space. Furthermore, using computational models to learn the mapping relations between subjective ratings and word embeddings, we include the estimated semantic ratings for 1,427,992 Chinese and 1,515,633 English words in the SSDD. The SSDD will aid studies on natural language processing, text analysis, and semantic representation in the brain.

Inducing forgetting of unwanted memories through subliminal reactivation

Processes that might facilitate the forgetting of unwanted experiences typically require the actual or imagined re-exposure to reminders of the event, which is aversive and carries risks to people. But it is unclear whether awareness of aversive content is necessary for effective voluntary forgetting. Disrupting hippocampal function through retrieval suppression induces an amnesic shadow that impairs the encoding and stabilization of unrelated memories that are activated near in time to people's effort to suppress retrieval. Building on this mechanism, here we successfully disrupt retention of unpleasant memories by subliminally reactivating them within this amnesic shadow. Critically, whereas unconscious forgetting occurs on these affective memories, the amnesic shadow itself is induced by conscious suppression of unrelated and benign neutral memories, avoiding conscious re-exposure of unwelcome content. Combining the amnesic shadow with subliminal reactivation may offer a new approach to voluntary forgetting that bypasses the unpleasantness in conscious exposure to unwanted memories.