During social communication, words and sentences play a critical role in the expression of emotional meaning. The Minho Affective Sentences (MAS) were developed to respond to the lack of a standardized sentence battery with normative affective ratings: 192 neutral, positive, and negative declarative sentences were strictly controlled for psycholinguistic variables such as numbers of words and letters and per-million word frequency. The sentences were designed to represent examples of each of the five basic emotions (anger, sadness, disgust, fear, and happiness) and of neutral situations. These sentences were presented to 536 participants who rated the stimuli using both dimensional and categorical measures of emotions. Sex differences were also explored. Additionally, we probed how personality, empathy, and mood from a subset of 40 participants modulated the affective ratings. Our results confirmed that the MAS affective norms are valid measures to guide the selection of stimuli for experimental studies of emotion. The combination of dimensional and categorical ratings provided a more fine-grained characterization of the affective properties of the sentences. Moreover, the affective ratings of positive and negative sentences were not only modulated by participants' sex, but also by individual differences in empathy and mood state. Together, our results indicate that, in their quest to reveal the neurofunctional underpinnings of verbal emotional processing, researchers should consider not only the role of sex, but also of interindividual differences in empathy and mood states, in responses to the emotional meaning of sentences.

Recent work has shown that people routinely use perceptual information during language comprehension and conceptual processing, from single-word recognition to modality-switching costs in property verification. In investigating such links between perceptual and conceptual representations, the use of modality-specific stimuli plays a central role. To aid researchers working in this area, we provide a set of norms for 423 adjectives, each describing an object property, with mean ratings of how strongly that property is experienced through each of five perceptual modalities (visual, haptic, auditory, olfactory, and gustatory). The data set also contains estimates of modality exclusivity—that is, a measure of the extent to which a particular property may be considered unimodal (i.e., perceived through one sense alone). Although there already exists a number of sets of word and object norms, we provide the first set to categorize words describing object properties along the dimensions of the five perceptual modalities. We hope that the norms will be of use to researchers working at the interface between linguistic, conceptual, and perceptual systems. The modality exclusivity norms may be downloaded as supplemental materials for this article from brm.psychonomic-journals.org/ content/supplemental.

Most of the new words a reader will find are morphologically complex. Also, theoretical models of language processing propose that morphology plays an important role in visual word processing. Nevertheless, studies on the subject show contradicting results that are difficult to reconcile. One factor that may explain this is the lack of a sizeable and reliable morphological database. As a consequence, there are enormous methodological differences in the way the values for morphological variables are calculated across studies. We present a sizeable and freely available database with six new variables for affixes and three for roots for 68,624 words from the English Lexicon Project. We further studied by means of regression models the influence of these new variables on the lexical decision latencies of 4,724 morphologically complex nouns that included one root and one suffix. Results showed that root frequency and suffix length had a facilitatory effect, whereas the percentage of more frequent words in the morphological family of the suffix had an inhibitory effect on latencies. After controlling for collinearity, root family size, suffix family size, suffix P*, and suffix frequency also had facilitatory effects. These results shed new light on the importance of suffix length and the frequency of the lexical competitors of the family of a suffix. This database represents a valuable resource for studies on the effect of morphology in visual word processing in English and can be found at https://github.com/hugomailhot/MorphoLex-en .

This study introduces a corpus of 260 naturalistic human nonlinguistic vocalizations representing nine emotions: amusement, anger, disgust, effort, fear, joy, pain, pleasure, and sadness. The recognition accuracy in a rating task varied greatly per emotion, from {\textless}40{\{}{\%}{\}} for joy and pain, to {\textgreater}70{\{}{\%}{\}} for amusement, pleasure, fear, and sadness. In contrast, the raters' linguistic--cultural group had no effect on recognition accuracy: The predominantly English-language corpus was classified with similar accuracies by participants from Brazil, Russia, Sweden, and the UK/USA. Supervised random forest models classified the sounds as accurately as the human raters. The best acoustic predictors of emotion were pitch, harmonicity, and the spacing and regularity of syllables. This corpus of ecologically valid emotional vocalizations can be filtered to include only sounds with high recognition rates, in order to study reactions to emotional stimuli of known perceptual types (reception side), or can be used in its entirety to study the association between affective states and vocal expressions (production side).

On the basis of calculations using the latest lexical database produced by Amano and Kondo (2000), the fourth edition of a Web-accessible database of characteristics of the 1,945 basic Japanese kanji was produced by including the mathematical concepts of entropy, redundancy, and symmetry and by replacing selected indexes found in previous editions (Tamaoka, Kirsner, Yanase, Miyaoka, {\&} Kawakami, 2002). The kanji database in the fourth edition introduces seven new figures for kanji characteristics: (1) printed frequency, (2) lexical productivity, (3) accumulative lexical productivity, (4) symmetry for lexical productivity, (5) entropy, (6) redundancy, and (7) numbers of meanings for On-readings and Kun-readings. The file of the fourth edition of the kanji database may be downloaded from the Psychonomic Society Web archive, http://www.psychonomics.org/archive/.

Nonword repetition (NWR) has been a widely used measure of language-learning ability in children with and without language disorders. Although NWR tasks have been created for a variety of languages, minimal attention has been given to Asian tonal languages. This study introduces a new set of NWR stimuli for Vietnamese. The stimuli include 20 items ranging in length from one to four syllables. The items consist of dialect-neutral phonemes in consonant-vowel (CV) and CVC sequences that follow the phonotactic constraints of the language. They were rated high on wordlikeness and have comparable position segments and biphone probabilities across stimulus lengths. We validated the stimuli with a sample of 59 typically developing Vietnamese-English bilingual children, ages 5 to 8. The stimuli exhibited the expected age and length effects commonly found in NWR tasks: Older children performed better on the task than younger children, and longer items were more difficult to repeat than shorter items. We also compared different scoring systems in order to examine the individual phoneme types (consonants, vowels, and tones) and composite scores (proportions of phonemes correct, with and without tone). The study demonstrates careful construction and validation of the stimuli, and future directions are discussed.

Subjective ratings of perceptual and motor attributes were obtained for a set of 750 concrete concepts in Spanish by requiring scale-based judgments from a sample of university students (N = 539). Following on the work of Amsel, Urbach, and Kutas (2012), the seven attributes were color, motion, sound, smell, taste, graspability, and pain. Normative data based on the obtained ratings are provided as a tool for future investigations. Additionally, the relationships of these attributes to other lexical dimensions (e.g., familiarity, frequency, concreteness) and the factorial organization of concepts around the main components were analyzed. The pattern of results is consistent with prior findings that highlight the relevance of dimensions related to survival as being crucially involved in conceptual processing.

We report normative data from a large (N = 307) sample of young adult participants tested with a computerized version of the long form of the classical Benton Facial Recognition Test (BFRT; Benton {\&} Van Allen, 1968). The BFRT-c requires participants to match a target face photograph to either one or three of six face photographs presented simultaneously. We found that the percent accuracy on the BFRT-c (81{\%}-83{\%}) was below ceiling yet well above chance level, with little interindividual variance in this typical population sample, two important aspects of a sensitive clinical test. Although the split-half reliability on response accuracy was relatively low, due to the large variability in difficulty across items, the correct response times measured in this version-completed in 3 min, on average-provide a reliable and critical complementary measure of performance at individual unfamiliar-face matching. In line with previous observations from other measures, females outperformed male participants at the BFRT-c, especially for female faces. In general, performance was also lower following lighting changes than following head rotations, in line with previous studies that have emphasized participants' limited ability to match pictures of unfamiliar faces with important variations in illumination. Overall, this normative data set supports the validity of the BFRT-c as a key component of a battery of tests to identify clinical impairments in individual face recognition, such as observed in acquired prosopagnosia. However, this analysis strongly recommends that researchers consider the full test results: Beyond global indexes of performance based on accuracy rates only, they should consider the time taken to match individual faces as well as the variability in performance across items.

Six dimensions that are relevant to our knowledge of common activities are introduced and quantified. Twelve component actions in each of 30 activities were chosen. Two of the dimensions examined were the familiarity and frequency of performance of the activities themselves. The other four dimensions—sequence, centrality, distinctiveness, and standardness—are characteristics of the actions within the activities. There was high agreement among subjects on the norms for each dimension. Correlational analyses demonstrate the possibility of choosing actions in such a way as to compare different levels of the dimensions as factors in controlled experiments. The importance of considering these dimensions in interpretations of script or schema experiments is stressed.

Research into similarities between music and language processing is currently experiencing a strong renewed interest. Recent methodological advances have led to neuroimaging studies presenting striking similarities between neural patterns associated with the processing of music and language--notably, in the study of participants' responses to elements that are incongruous with their musical or linguistic context. Responding to a call for greater systematicity by leading researchers in the field of music and language psychology, this article describes the creation, selection, and validation of a set of auditory stimuli in which both congruence and resolution were manipulated in equivalent ways across harmony, rhythm, semantics, and syntax. Three conditions were created by changing the contexts preceding and following musical and linguistic incongruities originally used for effect by authors and composers: Stimuli in the incongruous-resolved condition reproduced the original incongruity and resolution into the same context; stimuli in the incongruous-unresolved condition reproduced the incongruity but continued postincongruity with a new context dictated by the incongruity; and stimuli in the congruous condition presented the same element of interest, but the entire context was adapted to match it so that it was no longer incongruous. The manipulations described in this article rendered unrecognizable the original incongruities from which the stimuli were adapted, while maintaining ecological validity. The norming procedure and validation study resulted in a significant increase in perceived oddity from congruous to incongruous-resolved and from incongruous-resolved to incongruous-unresolved in all four components of music and language, making this set of stimuli a theoretically grounded and empirically validated resource for this growing area of research.

The discrete emotion theory proposes that affective experiences can be reduced to a limited set of universal "basic" emotions, most commonly identified as happiness, sadness, anger, fear, and disgust. Here we present norms for 10,491 Spanish words for those five discrete emotions collected from a total of 2,010 native speakers, making it the largest set of norms for discrete emotions in any language to date. When used in conjunction with the norms from Hinojosa, Mart{\'{i}}nez-Garc{\'{i}}a et al. (Behavior Research Methods, 48, 272-284, 2016) and Ferr{\'{e}}, Guasch, Mart{\'{i}}nez-Garc{\'{i}}a, Fraga, {\&} Hinojosa (Behavior Research Methods, 49, 1082-1094, 2017), researchers now have access to ratings of discrete emotions for 13,633 Spanish words. Our norms show a high degree of inter-rater reliability and correlate highly with those from Ferr{\'{e}} et al. (2017). Our exploration of the relationship between the five discrete emotions and relevant lexical and emotional variables confirmed findings of previous studies conducted with smaller datasets. The availability of such large set of norms will greatly facilitate the study of emotion, language and related fields. The norms are available as supplementary materials to this article.

In everyday social interactions, people's facial expressions sometimes reflect genuine emotion (e.g., anger in response to a misbehaving child) and sometimes do not (e.g., smiling for a school photo). There is increasing theoretical interest in this distinction, but little is known about perceived emotion genuineness for existing facial expression databases. We present a new method for rating perceived genuineness using a neutral-midpoint scale (-7 = completely fake; 0 = don't know; +7 = completely genuine) that, unlike previous methods, provides data on both relative and absolute perceptions. Normative ratings from typically developing adults for five emotions (anger, disgust, fear, sadness, and happiness) provide three key contributions. First, the widely used Pictures of Facial Affect (PoFA; i.e., "the Ekman faces") and the Radboud Faces Database (RaFD) are typically perceived as not showing genuine emotion. Also, in the only published set for which the actual emotional states of the displayers are known (via self-report; the McLellan faces), percepts of emotion genuineness often do not match actual emotion genuineness. Second, we provide genuine/fake norms for 558 faces from several sources (PoFA, RaFD, KDEF, Gur, FacePlace, McLellan, News media), including a list of 143 stimuli that are event-elicited (rather than posed) and, congruently, perceived as reflecting genuine emotion. Third, using the norms we develop sets of perceived-as-genuine (from event-elicited sources) and perceived-as-fake (from posed sources) stimuli, matched on sex, viewpoint, eye-gaze direction, and rated intensity. We also outline the many types of research questions that these norms and stimulus sets could be used to answer.

Equal numbers of male and female participants judged which of seven facial expressions (anger, disgust, fear, happiness, neutrality, sadness, and surprise) were displayed by a set of 336 faces, and we measured both accuracy and response times. In addition, the participants rated how well the expression was displayed (i.e., the intensity of the expression). These three measures are reported for each face. Sex of the rater did not interact with any of the three measures. However, analyses revealed that some expressions were recognized more accurately in female than in male faces. The full set of these norms may be downloaded fromwww.psychonomic.org/archive/.

We present a set of stimuli representing human actions under point-light conditions, as seen from different viewpoints. The set contains 22 fairly short, well-delineated, and visually “loopable” actions. For each action, we provide movie files from five different viewpoints as well as a text file with the three spatial coordinates of the point lights, allowing researchers to construct customized versions. The full set of stimuli may be downloaded fromwww.psychonomic.org/archive/.

Describes software that provides a set of pictorial stimuli prepared for computer presentation circumventing the time-consuming nature of individually drawing pictures on the computer. Access of the stimuli from Microsoft Basic, hardware and software requirements, and availability of the software are discussed.

The present study provides normative measures for a new stimulus set of images consisting of 225 everyday objects, each depicted both as a photograph and a matched clipart image generated directly from the photograph (450 images total). The clipart images preserve the same scale, shape, orientation, and general color features as the corresponding photographs. Various norms (modal name and verb agreement measures, picture-name agreement, familiarity, visual complexity, and image agreement) were collected separately for each image type and in two different contexts: online (using Mechanical Turk) and in the laboratory. We discuss similarities and differences in the normative measures according to both image type and experimental context. The full set of norms is provided in the supplemental materials.

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.

This article introduces GECO, the Ghent Eye-Tracking Corpus, a monolingual and bilingual corpus of the eyetracking data of participants reading a complete novel. English monolinguals and Dutch–English bilinguals read an entire novel, which was presented in paragraphs on the screen. The bilinguals read half of the novel in their first language, and the other half in their second language. In this article, we describe the distributions and descriptive statistics of the most important reading time measures for the two groups of participants. This large eyetracking corpus is perfectly suited for both exploratory purposes and more directed hypothesis testing, and it can guide the formulation of ideas and theories about naturalistic reading processes in a meaningful context. Most importantly, this corpus has the potential to evaluate the generalizability of monolingual and bilingual language theories and models to the reading of long texts and narratives. The corpus is freely available at http://expsy.ugent.be/downloads/geco.

A central issue in visual and spoken word recognition is the lexical representation of complex words-in particular, whether the lexical representation of complex words depends on semantic transparency: Is a complex verb like understand lexically represented as a whole word or via its base stand, given that its meaning is not transparent from the meanings of its parts? To study this issue, a number of stimulus characteristics are of interest that are not yet available in public databases of German. This article provides semantic association ratings, lexical paraphrases, and vector-based similarity measures for German verbs, measuring (a) the semantic transparency between 1,259 complex verbs and their bases, (b) the semantic relatedness between 1,109 verb pairs with 432 different bases, and (c) the vector-based similarity measures of 846 verb pairs. Additionally, we include the verb regularity of all verbs and two counts of verb family size for 184 base verbs, as well as estimates of age of acquisition and age of reading for 200 verbs. Together with lemma and type frequencies from public lexical databases, all measures can be downloaded along with this article. Statistical analyses indicate that verb family size, morphological complexity, frequency, and verb regularity affect the semantic transparency and relatedness ratings as well as the age of acquisition estimates, indicating that these are relevant variables in psycholinguistic experiments. Although lexical paraphrases, vector-based similarity measures, and semantic association ratings may deliver complementary information, the interrater reliability of the semantic association ratings for each verb pair provides valuable information when selecting stimuli for psycholinguistic experiments.

In this article, we present Procura-PALavras (P-PAL), a Web-based interface for a new European Portuguese (EP) lexical database. Based on a contemporary printed corpus of over 227 million words, P-PAL provides a broad range of word attributes and statistics, including several measures of word frequency (e.g., raw counts, per-million word frequency, logarithmic Zipf scale), morpho-syntactic information (e.g., parts of speech [PoSs], grammatical gender and number, dominant PoS, and frequency and relative frequency of the dominant PoS), as well as several lexical and sublexical orthographic (e.g., number of letters; consonant-vowel orthographic structure; density and frequency of orthographic neighbors; orthographic Levenshtein distance; orthographic uniqueness point; orthographic syllabification; and trigram, bigram, and letter type and token frequencies), and phonological measures (e.g., pronunciation, number of phonemes, stress, density and frequency of phonological neighbors, transposed and phonographic neighbors, syllabification, and biphone and phone type and token frequencies) for {\~{}}53,000 lemmatized and {\~{}}208,000 nonlemmatized EP word forms. To obtain these metrics, researchers can choose between two word queries in the application: (i) analyze words previously selected for specific attributes and/or lexical and sublexical characteristics, or (ii) generate word lists that meet word requirements defined by the user in the menu of analyses. For the measures it provides and the flexibility it allows, P-PAL will be a key resource to support research in all cognitive areas that use EP verbal stimuli. P-PAL is freely available at http://p-pal.di.uminho.pt/tools .

Mean ratings of graphic distinctiveness were obtained for pairs of consonants. The comparisons were between uppercase forms of different consonants, lowercase forms of different consonants, and uppercase vs lowercase forms of the same consonants. The ratings were demonstrated to have satisfactory reliability and to covary moderately well with feature-component measures of letter-pair distinctiveness.

This study aimed to extend the International Affective Picture System (IAPS; Lang, Bradley, {\&} Cuthbert, 2005) norms by obtaining reaction time (RT) normative data for 308 selected photographs. Pictures were presented one at a time for 33, 100, or 250 msec, or under free-time display, to 96 women and 48 men. The participants' task involved assessing the emotional valence of each picture and responding as quickly as possible as to whether it was unpleasant, neutral, or pleasant. RTs provided an index of processing efficiency. The manipulation of display time served to estimate the time course in the valence identification of each picture. Some categories of depicted scenes (e.g., erotica and mutilations) were classified more consistently and efficiently than were others as pleasant or unpleasant. There were minimal differences between men and women. Overall, the present data provide researchers investigating cognition/emotion relationships with an objective criterion to select pictorial stimuli on the basis of RTs. Data for all pictures may be downloaded from brm.psychonomic-journals.org/content/supplemental.

To establish a valid database of vocal emotional stimuli in Mandarin Chinese, a set of Chinese pseudosentences (i.e., semantically meaningless sentences that resembled real Chinese) were produced by four native Mandarin speakers to express seven emotional meanings: anger, disgust, fear, sadness, happiness, pleasant surprise, and neutrality. These expressions were identified by a group of native Mandarin listeners in a seven-alternative forced choice task, and items reaching a recognition rate of at least three times chance performance in the seven-choice task were selected as a valid database and then subjected to acoustic analysis. The results demonstrated expected variations in both perceptual and acoustic patterns of the seven vocal emotions in Mandarin. For instance, fear, anger, sadness, and neutrality were associated with relatively high recognition, whereas happiness, disgust, and pleasant surprise were recognized less accurately. Acoustically, anger and pleasant surprise exhibited relatively high mean f0 values and large variation in f0 and amplitude; in contrast, sadness, disgust, fear, and neutrality exhibited relatively low mean f0 values and small amplitude variations, and happiness exhibited a moderate mean f0 value and f0 variation. Emotional expressions varied systematically in speech rate and harmonics-to-noise ratio values as well. This validated database is available to the research community and will contribute to future studies of emotional prosody for a number of purposes. To access the database, please contact pan.liu@mail.mcgill.ca.

This article introduces a new corpus of eye movements in silent reading—the Russian Sentence Corpus (RSC). Russian uses the Cyrillic script, which has not yet been investigated in cross-linguistic eye movement research. As in every language studied so far, we confirmed the expected effects of low-level parameters, such as word length, frequency, and predictability, on the eye movements of skilled Russian readers. These findings allow us to add Slavic languages using Cyrillic script (exemplified by Russian) to the growing number of languages with different orthographies, ranging from the Roman-based European languages to logographic Asian ones, whose basic eye movement benchmarks conform to the universal comparative science of reading (Share, 2008). We additionally report basic descriptive corpus statistics and three exploratory investigations of the effects of Russian morphology on the basic eye movement measures, which illustrate the kinds of questions that researchers can answer using the RSC. The annotated corpus is freely available from its project page at the Open Science Framework: https://osf.io/x5q2r/.

Words are considered semantically ambiguous if they have more than one meaning and can be used in multiple contexts. A number of recent studies have provided objective ambiguity measures by using a corpus-based approach and have demonstrated ambiguity advantages in both naming and lexical decision tasks. Although the predictive power of objective ambiguity measures has been examined in several alphabetic language systems, the effects in logographic languages remain unclear. Moreover, most ambiguity measures do not explicitly address how the various contexts associated with a given word relate to each other. To explore these issues, we computed the contextual diversity (Adelman, Brown, {\&} Quesada, Psychological Science, 17; 814-823, 2006) and semantic ambiguity (Hoffman, Lambon Ralph, {\&} Rogers, Behavior Research Methods, 45; 718-730, 2013) of traditional Chinese single-character words based on the Academia Sinica Balanced Corpus, where contextual diversity was used to evaluate the present semantic space. We then derived a novel ambiguity measure, namely semantic variability, by computing the distance properties of the distinct clusters grouped by the contexts that contained a given word. We demonstrated that semantic variability was superior to semantic diversity in accounting for the variance in naming response times, suggesting that considering the substructure of the various contexts associated with a given word can provide a relatively fine scale of ambiguity information for a word. All of the context and ambiguity measures for 2,418 Chinese single-character words are provided as supplementary materials.

Sensory experience rating (SER) is a recently developed subjective lexical index that reflects the extent to which a word evokes a sensory and/or perceptual experience in a reader (Juhasz {\&} Yap, 2013; Juhasz, Yap, Dicke, Taylor, {\&} Gullick, 2011). In the present study, SERs for a set of 5,500 Spanish words were collected, which makes this the largest set of norms for SER in the Spanish language to date. Additionally, with the aim of further exploring the implications of this new indicator and its relations with other psycholinguistic variables, a variety of correlational and regression analyses are provided. The results showed that SERs significantly correlated with imageability, age of acquisition, and a number of variables related to perception and emotion. In addition, SERs predicted a significant amount of variance in lexical decision times when other variables were controlled.

Abstract Voice synthesis is a useful method for investigating the communicative role of different acoustic features. Although many text-to-speech systems are available, researchers of human nonverbal vocalizations and bioacousticians may profit from a dedicated simple tool for synthesizing and manipulating natural-sounding vocalizations. Soundgen (https://CRAN.R-project.org/package=soundgen) is an open-source R package that synthesizes nonverbal vocalizations based on meaningful acoustic parameters, which can be specified from the command line or in an interactive app. This tool was validated by comparing the perceived emotion, valence, arousal, and authenticity of 60 recorded human nonverbal vocalizations (screams, moans, laughs, and so on) and their approximate synthetic reproductions. Each synthetic sound was created by manually specifying only a small number of high-level control parameters, such as syllable length and a few anchors for the intonation contour. Nevertheless, the valence and arousal ratings of synthetic sounds were similar to those of the original recordings, and the authenticity ratings were comparable, maintaining parity with the originals for less complex vocalizations. Manipulating the precise acoustic characteristics of synthetic sounds may shed light on the salient predictors of emotion in the human voice. More generally, soundgen may prove useful for any studies that require precise control over the acoustic features of nonspeech sounds, including research on animal vocalizations and auditory perception.

In this article, we present StimulStat – a lexical database for the Russian language in the form of a web application. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are characterized according to more than 70 properties that were demonstrated to be relevant for psycholinguistic research, including frequency, length, phonological and grammatical properties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul.cognitivestudies.ru. {\textcopyright} 2017, Psychonomic Society, Inc.

As the cognitive neuroscience of metaphor has evolved, so too have the theoretical questions of greatest interest. To keep pace with these developments, in the present study we generated a large set of metaphoric and literal sentence pairs ideally suited to addressing the current methodological and conceptual needs of metaphor researchers. In particular, the need has emerged to distinguish metaphors along three dimensions: the grammatical class of their base terms, the sensorimotor features of their base terms, and the syntactic form in which the base terms appear. To meet this need, we generated nominal metaphors (and matched literal sentences) using entity nouns as the base terms, with the intention that they be used in concert with already published sets of predicate metaphors or nominal metaphors using event nouns. Using the results of three norming experiments, we provide 120 pairs of closely matched metaphoric and literal sentences that are characterized along 14 dimensions: 11 at the sentence level (length, frequency, concreteness, familiarity, naturalness, imageability, figurativeness, interpretability, ease of interpretation, valence, and valence judgment reaction time), and three related to the base term (visual, motion, and auditory imagery). These items extend previously published stimuli, filling an extant gap in metaphor research and allowing for tests of new behavioral and neural hypotheses about metaphor.

Fiction is not always accurate, and this has consequences for readers. In laboratory studies, the reading of short stories led participants to produce story errors as facts on a later test of general knowledge (Marsh, Meade, {\&} Roediger, 2003). The present article describes these story stimuli in detail, so that interested researchers will be able to use the stimuli and change them as needed for particular research projects. This article provides instructions for using the stories and suggestions for modifying them; it is a manual for one way of creating suggestibility. The full set of stories and reading comprehension questions may be downloaded fromwww.psychonomic.org/archive/.

Sublexical phonotactic regularities in language have a major impact on language development, as well as on speech processing and production throughout the entire lifespan. To understand the impact of phonotactic regularities on speech and language functions at the behavioral and neural levels, it is essential to have access to oral language corpora to study these complex phenomena in different languages. Yet, probably because of their complexity, oral language corpora remain less common than written language corpora. This article presents the first corpus and database of spoken Quebec French syllables and phones: SyllabO+. This corpus contains phonetic transcriptions of over 300,000 syllables (over 690,000 phones) extracted from recordings of 184 healthy adult native Quebec French speakers, ranging in age from 20 to 97 years. To ensure the representativeness of the corpus, these recordings were made in both formal and familiar communication contexts. Phonotactic distributional statistics (e.g., syllable and co-occurrence frequencies, percentages, percentile ranks, transition probabilities, and pointwise mutual information) were computed from the corpus. An open-access online application to search the database was developed, and is available at www.speechneurolab.ca/syllabo . In this article, we present a brief overview of the corpus, as well as the syllable and phone databases, and we discuss their practical applications in various fields of research, including cognitive neuroscience, psycholinguistics, neurolinguistics, experimental psychology, phonetics, and phonology. Nonacademic practical applications are also discussed, including uses in speech-language pathology.

textcopyright} 2017, The Author(s). Adults need to be able to process infants' emotional expressions accurately to respond appropriately and care for infants. However, research on processing of the emotional expressions of infant faces is hampered by the lack of validated stimuli. Although many sets of photographs of adult faces are available to researchers, there are no corresponding sets of photographs of infant faces. We therefore developed and validated a database of infant faces, which is available via e-mail request. Parents were recruited via social media and asked to send photographs of their infant (0–12 months of age) showing positive, negative, and neutral facial expressions. A total of 195 infant faces were obtained and validated. To validate the images, student midwives and nurses (n = 53) and members of the general public (n = 18) rated each image with respect to its facial expression, intensity of expression, clarity of expression, genuineness of expression, and valence. On the basis of these ratings, a total of 154 images with rating agreements of at least 75{\%} were included in the final database. These comprise 60 photographs of positive infant faces, 54 photographs of negative infant faces, and 40 photographs of neutral infant faces. The images have high criterion validity and good test–retest reliability. This database is therefore a useful and valid tool for researchers.

In this study, we report the validation results of the EU-Emotion Voice Database, an emotional voice database available for scientific use, containing a total of 2,159 validated emotional voice stimuli. The EU-Emotion voice stimuli consist of audio-recordings of 54 actors, each uttering sentences with the intention of conveying 20 different emotional states (plus neutral). The database is organized in three separate emotional voice stimulus sets in three different languages (British English, Swedish, and Hebrew). These three sets were independently validated by large pools of participants in the UK, Sweden, and Israel. Participants' validation of the stimuli included emotion categorization accuracy and ratings of emotional valence, intensity, and arousal. Here we report the validation results for the emotional voice stimuli from each site and provide validation data to download as a supplement, so as to make these data available to the scientific community. The EU-Emotion Voice Database is part of the EU-Emotion Stimulus Set, which in addition contains stimuli of emotions expressed in the visual modality (by facial expression, body language, and social scene) and is freely available to use for academic research purposes.

The rapid expansion of the Internet and the availability of vast repositories of natural text provide researchers with the immense opportunity to study human reactions, opinions, and behavior on a massive scale. To help researchers take advantage of this new frontier, the present work introduces and validates the Evaluative Lexicon 2.0 (EL 2.0)—a quantitative linguistic tool that specializes in the measurement of the emotionality of individuals' evaluations in text. Specifically, the EL 2.0 utilizes natural language to measure the emotionality, extremity, and valence of evaluative reactions and attitudes. The present article describes how we used a combination of 9 million real-world online reviews and over 1,500 participant judges to construct the EL 2.0 and an additional 5.7 million reviews to validate it. To assess its unique value, the EL 2.0 is compared with two other prominent text analysis tools—LIWC and Warriner et al.'s (Behavior Research Methods, 45, 1191–1207, 2013) wordlist. The EL 2.0 is comparatively distinct in its ability to measure emotionality and explains a significantly greater proportion of the variance in individuals' evaluations. The EL 2.0 can be used with any data that involve speech or writing and provides researchers with the opportunity to capture evaluative reactions both in the laboratory and “in the wild.” The EL 2.0 wordlist and normative emotionality, extremity, and valence ratings are freely available from www.evaluativelexicon.com.

The Massive Auditory Lexical Decision (MALD) database is an end-to-end, freely available auditory and production data set for speech and psycholinguistic research, providing time-aligned stimulus recordings for 26,793 words and 9592 pseudowords, and response data for 227,179 auditory lexical decisions from 231 unique monolingual English listeners. In addition to the experimental data, we provide many precompiled listener- and item-level descriptor variables. This data set makes it easy to explore responses, build and test theories, and compare a wide range of models. We present summary statistics and analyses.

In the typical memory conjunction experiment, participants are presented with two "parent" stimulus items (e.g., blackmail and jailbird) that are later recombined to form a "conjunction lure" (e.g., blackbird). This paradigm is an efficient way to test false memories because participants frequently show false recognition for the recombined features of the previously studied stimuli. Two experiments are reported in which normative data for 96 memory conjunction triplets are presented. The first experiment provides descriptive statistics for how often the conjunction triplets show true and false recognition. Due to the variance in the rates of false recognition for the conjunction lure, the second experiment was conducted to help build an understanding of the factors that affect the rate of false recognition of the conjunction lures. Conceptual overlap of the first parent word and the conjunction item predicted false recognition. Digital files containing norms for 96 memory conjunction triplets may be downloaded from www.psychonomic.org/archive.

An adult language corpus of spoken Hong Kong Cantonese (HKCAC) has recently been developed consisting of spontaneous speech recorded from phone-in programs and forums on the radio in Hong Kong. The database represents the speech of a total of sixty-nine speakers in addition to the program hosts, and has approximately 170, 000 characters. It is believed that HKCAC will be of great value to linguists who are interested in studying Cantonese, and speech therapists and educators who work with the Cantonese speaking population. A search engine with a user-friendly interface has also been developed by using FileMaker Pro 4.0 (Chinese version). Apart from the basic frequency information and the display of search results in KWAL (Key Word And Line) format, the search engine also allows users to search for various phonetic realizations of a particular character or the set of characters associated with a particular syllable. The content and structure of the corpus, and the overall architecture as well as the technical aspects of the search engine are described. Search procedures are illustrated with examples. The paper ends with a discussion of the future development of HKCAC. {\textcopyright} 2001 John Benjamins Publishing Company.

Recent studies have shown that word frequency estimates obtained from films and television subtitles are better to predict performance in word recognition experiments than the traditional word frequency estimates based on books and newspapers. In this study, we present a subtitle-based word frequency list for Spanish, one of the most widely spoken languages. The subtitle frequencies are based on a corpus of 41M words taken from contemporary movies and TV series (screened between 1990 and 2009). In addition, the frequencies have been validated by correlating them with the RTs from two megastudies involving 2,764 words each (lexical decision and word naming tasks). The subtitle frequencies explained 6{\%} more of the variance than the existing written frequencies in lexical decision, and 2{\%} extra in word naming.

This article presents the Provo Corpus, a corpus of eye-tracking data with accompanying predictability norms. The predictability norms for the Provo Corpus differ from those of other corpora. In addition to traditional cloze scores that estimate the predictability of the full orthographic form of each word, the Provo Corpus also includes measures of the predictability of the morpho-syntactic and semantic information for each word. This makes the Provo Corpus ideal for studying predictive processes in reading. Some analyses using these data have previously been reported elsewhere (Luke {\&} Christianson, 2016). The Provo Corpus is available for download on the Open Science Framework, at https://osf.io/sjefs .

We describe the Multilanguage Written Picture Naming Dataset. This gives trial-level data and time and agreement norms for written naming of the 260 pictures of everyday objects that compose the colorized Snodgrass and Vanderwart picture set (Rossion {\&} Pourtois in Perception, 33, 217–236, 2004). Adult participants gave keyboarded responses in their first language under controlled experimental conditions (N = 1,274, with subsamples responding in Bulgarian, Dutch, English, Finnish, French, German, Greek, Icelandic, Italian, Norwegian, Portuguese, Russian, Spanish, and Swedish). We measured the time to initiate a response (RT) and interkeypress intervals, and calculated measures of name and spelling agreement. There was a tendency across all languages for quicker RTs to pictures with higher familiarity, image agreement, and name frequency, and with higher name agreement. Effects of spelling agreement and effects on output rates after writing onset were present in some, but not all, languages. Written naming therefore shows name retrieval effects that are similar to those found in speech, but our findings suggest the need for cross-language comparisons as we seek to understand the orthographic retrieval and/or assembly processes that are specific to written output.

Recent research on anagram solution has produced two original findings. First, it has shown that a new bigram frequency measure called top rank, which is based on a comparison of summed bigram frequencies, is an important predictor of anagram difficulty. Second, it has suggested that the measures from a type count are better than token measures at predicting anagram difficulty. Testing these hypotheses has been difficult because the computation of the bigram statistics is difficult. We present a program that calculates bigram measures for two-to nine-letter words. We then show how the program can be used to compare the contribution of top rank and other bigram frequency measures derived from both a token and a type count. Contrary to previous research, we report that type measures are not better at predicting anagram solution times and that top rank is not the best predictor of anagram difficulty. Lastly we use this program to show that type bigram frequencies are not as good as token bigram frequencies at predicting word identification reaction time.

Rebus puzzles and compound remote associate problems have been successfully used to study problem solving. These problems are physically compact, often can be solved within short time limits, and have unambiguous solutions, and English versions have been normed for solving rates and levels of difficulty. Many studies on problem solving with sudden insight have taken advantage of these features in paradigms that require many quick solutions (e.g., solution priming, visual hemifield presentations, electroencephalography, fMRI, and eyetracking). In order to promote this vein of research in Italy, as well, we created and tested Italian versions of both of these tests. The data collected across three studies yielded a pool of 88 rebus puzzles and 122 compound remote associate problems within a moderate range of difficulty. This article provides both sets of problems with their normative data, for use in future research.

This article accompanies the archiving by the Pychonomic Society of the Toglia and Battig (1978) semantic word norms. Herein are outlined the various phases of the project, as well as the challenges that were faced in staying the course during the labor-intensive development of the norms. An examination of the number of citations of this set of norms over the years demonstrates a stable employment of these norms by investigators in many fields. Indeed, a concluding section details the wide range of research topics that have been studied with the use of this extensive set of word ratings. The complete Toglia and Battig article and norms may be downloaded as supplemental materials for this article from brm.psychonomic-journals.org/content/supplemental.

We present word prevalence data for 61,858 English words. Word prevalence refers to the number of people who know the word. The measure was obtained on the basis of an online crowdsourcing study involving over 220,000 people. Word prevalence data are useful for gauging the difficulty of words and, as such, for matching stimulus materials in experimental conditions or selecting stimulus materials for vocabulary tests. Word prevalence also predicts word processing times, over and above the effects of word frequency, word length, similarity to other words, and age of acquisition, in line with previous findings in the Dutch language.

Numerous studies in psychology, cognitive neuroscience and psycholinguistics have used pictures of objects as stimulus materials. Currently, authors engaged in cross-linguistic work or wishing to run parallel studies at multiple sites where different languages are spoken must rely on rather small sets of black-and-white or colored line drawings. These sets are increasingly experienced as being too limited. Therefore, we constructed a new set of 750 colored pictures of concrete concepts. This set, MultiPic, constitutes a new valuable tool for cognitive scientists investigating language, visual perception, memory and/or attention in monolingual or multilingual populations. Importantly, the MultiPic databank has been normed in six different European languages (British English, Spanish, French, Dutch, Italian and German). All stimuli and norms are freely available at http://www.bcbl.eu/databases/multipic.

Iconicity – the correspondence between form and meaning – may help young children learn to use new words. Early‐learned words are higher in iconicity than later learned words. However, it remains unclear what role iconicity may play in actual language use. Here, we ask whether iconicity relates not just to the age at which words are acquired, but also to how frequently children and adults use the words in their speech. If iconicity serves to bootstrap word learning, then we would expect that children should say highly iconic words more frequently than less iconic words, especially early in development. We would also expect adults to use iconic words more often when speaking to children than to other adults. We examined the relationship between frequency and iconicity for approximately 2000 English words. Replicating previous findings, we found that more iconic words are learned earlier. Moreover, we found that more iconic words tend to be used more by younger children, and adults use more iconic words when speaking to children than to other adults. Together, our results show that young children not only learn words rated high in iconicity earlier than words low in iconicity, but they also produce these words more frequently in conversation – a pattern that is reciprocated by adults when speaking with children. Thus, the earliest conversations of children are relatively higher in iconicity, suggesting that this iconicity scaffolds the production and comprehension of spoken language during early development.

ABSTRACTIn brain and behaviour, gustation, and olfaction are closely linked to emotional processing. This paper shows that similarly, words associated with taste and smell, such as “pungent” and “delicious”, are on average more emotionally valenced than words associated with the other senses, such as “beige” (visual) and “echoing” (auditory). Moreover, taste and smell words occur more frequently in emotionally valenced phrases, for example, “fragrant” modifies more emotionally valenced nouns (“fragrant kiss”) than the visual adjective “yellow” (“yellow house”). It is argued that taste and smell words form an affectively loaded part of the English lexicon. Taste and smell words are also shown to be more emotionally flexible in that words such as “sweet” can be combined with both good and bad nouns (“sweet delight” versus “sweet disaster”), much more so than is the case for sensory words for the other modalities. The paper discusses implications for theories of embodied language understanding.

This paper presents an overview of a project that aims at creating a representative Catalogue of cross-linguistically recurrent semantic shifts1 in the languages of the world and at implementing this Catalogue in the form of a searchable computer database2. Such a catalogue is useful in several theoretical and methodological respects. First of all, both universal and language-specific semantic shifts can be considered a window onto human cognitive mechanisms operative in the domain of linguistic conceptualization. Second, the catalogue provides a rich empirical basis for the study of genetic and areal tendencies in semantic change, as well as in polysemy patterns. Another potential application is historical reconstruction, since the catalogue gives evidence for attested paths of diachronic semantic evolution. In section 1 we outline the general concept of the Catalogue of Semantic Shifts. Section 2 describes the design of the computer database. In section 3 we discuss some problematic points that we have faced while working on the Catalogue. The next three sections demonstrate how the Catalogue can be used in linguistic research and present an analysis of three selected issues, namely semantic shifts in the domain of dimension (section 4), motivation strategies in the domain of folk biology (section 5), and euphemization as a mechanism of semantic change (section 6).