Pseudowords play an important role in psycholinguistic experiments, either because they are required for performing tasks, such as lexical decision, or because they are the main focus of interest, such as in nonword-reading and nonce-inflection studies. We present a pseudoword generator that improves on current methods. It allows for the generation of written polysyllabic pseudowords that obey a given language's phonotactic constraints. Given a word or nonword template, the algorithm can quickly generate pseudowords that match the template in subsyllabic structure and transition frequencies without having to search through a list with all possible candidates. Currently, the program is available for Dutch, English, German, French, Spanish, Serbian, and Basque, and, with little effort, it can be expanded to other languages.

Dissociations between noun and verb processing are not uncommon after brain injury; yet, precise psycholinguistic comparisons of nouns and verbs are hampered by the underrepresentation of verbs in published semantic word norms and by the absence of contemporary estimates for part-of-speech usage. We report herein imageability ratings and rating response times (RTs) for 1,197 words previously categorized as pure nouns, pure verbs, or words of balanced noun-verb usage on the basis of the Francis and Kucera (1982) norms. Nouns and verbs differed in rated imageability, and there was a stronger correspondence between imageability rating and RT for nouns than for verbs. For all word types, the image-rating-RT function implied that subjects employed an image generation process to assign ratings. We also report a new measure of noun-verb typicality that used the Hyperspace Analog to Language (HAL; Lund {\&} Burgess, 1996) context vectors (derived from a large sample of Usenet text) to compute the mean context distance between each word and all of the pure nouns and pure verbs. For a subset of the items, the resulting HAL noun-verb difference score was compared with part-of-speech usage in a representative sample of the Usenet corpus. It is concluded that this score can be used to estimate the extent to which a given word occurs in typical noun or verb sentence contexts in informal contemporary English discourse. The item statistics given in Appendix B will enable experimenters to select representative examples of nouns and verbs or to compare typical with atypical nouns (or verbs), while holding constant or covarying rated imageability.

This article introduces childLex, an online database of German read by children. childLex is based on a corpus of children's books and comprises 10 million words that were syntactically annotated and lemmatized. childLex reports linguistic norms for lexical, superlexical, and sublexical variables in three different age groups: 6-8 (grades 1-2), 9-10 (grades 3-4), and 11-12 years (grades 5-6). Here, we describe how childLex was collected and analyzed. In addition, we provide information about the distributions of word frequency, word length, and orthographic neighborhood size, as well as their intercorrelations. Finally, we explain how childLex can be accessed using a Web interface.

Age of acquisition (AoA) estimates are provided for 3,460 senses of 1,208 words (i.e., words with multiple meanings e.g., duck). The AoA rating estimates appear to be relatively consistent across participants. The Spearman-Brown split-half reliability coefficient is .95, while the correlations between each participant's ratings and the overall mean ratings yielded correlation coefficients between .325 to .794 with a mean of .69 (SD = .10). These estimates will be of use to those interested in: (a) the influence of AoA on word processing, (b) the influence of AoA on meaning access, (c) the structure of semantic memory, and (d) developmental trends in lexical ambiguity resolution. These AoA estimates can be downloaded from the Psychonomic Society's Web archive of norms, stimuli, and data at www.psychonomic.org/archive.

The psychological community frequently investigates semantic norms of properties produced by native speakers after being presented concept words, and these norms are of great value for a wide variety of psychological experiments. This paper presents a new set of norms that includes a collection of properties from a production experiment for the German and the Italian languages. Stimuli consisted of 50 concrete objects taken from 10 different concept classes. The data comprise annotations of semantic relation types and several statistical measures, which facilitate the comparison of the two target languages.

OBJETIVO: Este estudo comparou os resultados entre crian{\c{c}}as brasileiras e americanas quanto {\`{a}}omea{\c{c}}{\~{a}}o, familiaridade com o conceito representado e complexidade visual de um conjunto de 400 figuras M{\'{E}}TODO: Foram avaliadas 36 crian{\c{c}}as brasileiras (18 meninos) de 5 a 7 anos de idade com caracter{\'{i}}sticas semelhantes {\`{a}}s crian{\c{c}}as americanas. Os procedimentos e medidas empregados no estudo brasileiro foram os mesmos usados para a popula{\c{c}}{\~{a}}o americana permitindo compara{\c{c}}{\~{a}}o direta dos dados das duas amostras atrav{\'{e}}s de correla{\c{c}}{\~{o}}es rho de Spearman e testes t de Student. RESULTADOS: Foram observadas correla{\c{c}}{\~{o}}es positivas significativas para todas as medidas entre as amostras brasileira e americana. A an{\'{a}}lise qualitativa demonstrou que ambos os grupos deram nomes modais que diferem do proposto para 59 figuras. As crian{\c{c}}as brasileiras utilizaram nomes que diferem do proposto para 72 figuras nomeadas corretamente pelas americanas. As americanas nomearam diferentemente do nome modal 26 figuras nomeadas corretamente pelas brasileiras. CONCLUS{\~{A}}O: O conjunto de 400 figuras mostrou-se um instrumento adequado para uso em diferentes culturas. Contudo, {\'{e}} aconselh{\'{a}}vel evitar o uso de figuras que produziram inconsist{\^{e}}ncia de nomea{\c{c}}{\~{a}}o nas popula{\c{c}}{\~{o}}es brasileira e norte-americana em estudos em outras culturas com o mesmo grupo et{\'{a}}rio at{\'{e}} que normas espec{\'{i}}ficas estejam dispon{\'{i}}veis.

Measurements of similarity have typically been obtained through the use of rating, sorting, and perceptual confusion tasks. In the present paper, a new method for measuring similarity is described, in which subjects rearrange items so that their proximity on a computer screen is proportional to their similarity. This method provides very efficient data collection. If a display hasn objects, then, after subjects have rearranged the objects (requiring slightly more thann movements),n(n-1)/2 pairwise similarities can be recorded. As long as the constraints imposed by two-dimensional space are not too different from those intrinsic to psychological similarity, the technique appears to offer an efficient, user-friendly, and intuitive process for measuring psychological similarity.

The present article introduces a Russian-language database of 375 action pictures and associated verbs with normative data. The pictures were normed for name agreement, conceptual familiarity, and subjective visual complexity, and measures of age of acquisition, imageability, and image agreement were collected for the verbs. Values of objective visual complexity, as well as information about verb frequency, length, argument structure, instrumentality, and name relation, are also provided. Correlations between these parameters are presented, along with a comparative analysis of the Russian name agreement norms and those collected in other languages. The full set of pictorial stimuli and the obtained norms may be freely downloaded from http://neuroling.ru/en/db.htm for use in research and for clinical purposes.

We present a database of high-definition (HD) videos for the study of traits inferred from whole-body actions. Twenty-nine actors (19 female) were filmed performing different actions—walking, picking up a box, putting down a box, jumping, sitting down, and standing and acting—while conveying different traits, including four emotions (anger, fear, happiness, sadness), untrustworthiness, and neutral, where no specific trait was conveyed. For the actions conveying the four emotions and untrustworthiness, the actions were filmed multiple times, with the actor conveying the traits with different levels of intensity. In total, we made 2,783 action videos (in both two-dimensional and three-dimensional format), each lasting 7 s with a frame rate of 50 fps. All videos were filmed in a green-screen studio in order to isolate the action information from all contextual detail and to provide a flexible stimulus set for future use. In order to validate the traits conveyed by each action, we asked participants to rate each of the actions corresponding to the trait that the actor portrayed in the two-dimensional videos. To provide a useful database of stimuli of multiple actions conveying multiple traits, each video name contains information on the gender of the actor, the action executed, the trait conveyed, and the rating of its perceived intensity. All videos can be downloaded free at the following address: http://www-users.york.ac.uk/{\~{}}neb506/databases.html. We discuss potential uses for the database in the analysis of the perception of whole-body actions.

We collected subjective frequency, age-of-acquisition, and imageability norms for 319 acronyms from French adults. Objective printed frequency, bigram frequency, and lengths in letters, phonemes, and syllables, as well as orthographic neighbors, were computed. The time taken to read acronyms aloud was also recorded. Correlational analyses indicated that the relations between the psycholinguistic variables were similar to those usually found for common words (e.g., highly imageable acronyms were more frequent and learned earlier in life than less imageable acronyms), but were generally weaker in the former than in the latter. Linear mixed-model analyses performed on the reading latencies revealed that the main determinants were the voicing feature of initial phonemes, the type of pronunciation of the acronyms (ambiguous vs. unambiguous, typical vs. atypical characteristics), length (number of letters and number of syllables), together with bigram frequency, printed frequency, and imageability. Both objective frequency and imageability interacted reliably with the ambiguous typical and ambiguous atypical properties. Accuracy was predicted by the number of letters and by imageability factors: More errors occurred on longer than on shorter acronyms, and also more errors on less imageable than on more imageable acronyms. The theoretical and methodological implications of the findings for the understanding of acronym reading are discussed. The entire set of norms and the acronym reading times (and accuracy scores), together with the acronym definitions, are provided as supplemental materials.

In order to explore the role of the main psycholinguistic variables on visual word recognition, several mega-studies have been conducted in English in recent years. Nevertheless, because the effects of these variables depend on the regularity of the orthographic system, studies must also be done in other languages with different characteristics. The goal of this work was to conduct a lexical decision study in Spanish, a language with a shallow orthography and a high number of words. The influence of psycholinguistic variables on latencies corresponding to 2,765 words was assessed by means of linear mixed-effects modeling. The results show that some variables, such as frequency or age of acquisition, have significant effects on reaction times regardless of the type of words used. Other variables, such as orthographic neighborhood or imageability, were significant only in specific groups of words. Our results highlight the importance of taking into account the peculiarities of each spelling system in the development of reading models.

We present Chinese translation norms for 1429 English words. Chinese-English bilinguals (N=28) were asked to provide the first Chinese translation that came to mind for 1429 English words. The results revealed that 71{\%} of the English words received more than one correct translation indicating the large amount of translation ambiguity when translating from English to Chinese. The relationship between translation ambiguity and word frequency, concreteness and language proficiency was investigated. Although the significant correlations were not strong, results revealed that English word frequency was positively correlated with the number of alternative translations, whereas English word concreteness was negatively correlated with the number of translations. Importantly, regression analyses showed that the number of Chinese translations was predicted by word frequency and concreteness. Furthermore, an interaction between these predictors revealed that the number of translations was more affected by word frequency for more concrete words than for less concrete words. In addition, mixed-effects modelling showed that word frequency, concreteness and English language proficiency were all significant predictors of whether or not a dominant translation was provided. Finally, correlations between the word frequencies of English words and their Chinese dominant translations were higher for translation-unambiguous pairs than for translation-ambiguous pairs. The translation norms are made available in a database together with lexical information about the words, which will be a useful resource for researchers investigating Chinese-English bilingual language processing.

Timed picture naming was compared in seven languages that vary along dimensions known to affect lexical access. Analyses over items focused on factors that determine cross-language universals and cross-language disparities. With regard to universals, number of alternative names had large effects on reaction time within and across languages after target–name agreement was controlled, suggesting inhibitory effects from lexical competitors. For all the languages, word frequency and goodness of depiction had large effects, but objective picture complexity did not. Effects of word structure variables (length, syllable structure, compounding, and initial frication) varied markedly over languages. Strong cross-language correlations were found in naming latencies, frequency, and length. Other-language frequency effects were observed (e.g., Chinese frequencies predicting Spanish reaction times) even after within-language effects were controlled (e.g., Spanish frequencies predicting Spanish reaction times). These surprising cross-language correlations challenge widely held assumptions about the lexical locus of length and frequency effects, suggesting instead that they may (at least in part) reflect familiarity and accessibility at a conceptual level that is shared over languages.

? 2016 Psychonomic Society, Inc.Semantic feature production norms provide many quantitative measures of different feature and concept variables that are necessary to solve some debates surrounding the nature of the organization, both normal and pathological, of semantic memory. Despite the current existence of norms for different languages, there are still no published norms in Spanish. This article presents a new set of norms collected from 810 participants for 400 living and nonliving concepts among Spanish speakers. These norms consist of empirical collections of features that participants used to describe the concepts. Four files were elaborated: a concept?feature file, a concept?concept matrix, a feature?feature matrix, and a significantly correlated features file. We expect that these norms will be useful for researchers in the fields of experimental psychology, neuropsychology, and psycholinguistics.

The present study provides Italian normative measures for 266 line drawings belonging to the new set of pictures developed by Lotto, Dell'Acqua, and Job (in press). The pictures have been standardized on the following measures: number of letters, number of syllables, name frequency, within-category typicality, familiarity, age of acquisition, name agreement, and naming time. In addition to providing the measures, the present study focuses on indirect and direct comparisons (i.e., correlations) of the present norms with databases provided by comparable studies in Italian (in which normative data were collected with Snodgrass {\&} Vanderwart's set of pictures; Nisi, Longoni, {\&} Snodgrass, 2000), in British English (Barry, Morrison, {\&} Ellis, 1997), in American English (Snodgrass {\&} Vanderwart, 1980; Snodgrass {\&} Yuditsky, 1996), in French (Alario {\&} Ferrand, 1999), and in Spanish (Sanfeliu {\&} Fernandez, 1996)

Most current models of research on emotion recognize valence (how pleasant a stimulus is) and arousal (the level of activation or intensity that a stimulus elicits) as important components in the classification of affective experiences (Barrett, 1998; Kuppens, Tuerlinckx, Russell, {\&} Barrett, 2012). Here we present a set of norms for valence and arousal for a very large set of Spanish words, including items from a variety of frequencies, semantic categories, and parts of speech, including a subset of conjugated verbs. In this regard, we found that there were significant but very small differences between the ratings for conjugations of the same verb, validating the practice of applying the ratings for infinitives to all derived forms of the verb. Our norms show a high degree of reliability and are strongly correlated with those of Redondo, Fraga, Padr{\'{o}}n, and Comesa{\~{n}}a's (2007) Spanish version of the influential Affective Norms for English Words (Bradley {\&} Lang, 1999), as well as those from Warriner, Kuperman, and Brysbaert (2013), the largest available set of emotional norms for English words. Additionally, we included measures of word prevalence-that is, the percentage of participants that knew a particular word-for each variable (Keuleers, Stevens, Mandera, {\&} Brysbaert, 2015). Our large set of norms in Spanish not only will facilitate the creation of stimuli and the analysis of texts in that language, but also will be useful for cross-language comparisons and research on emotional aspects of bilingualism. The norms can be downloaded and available as a supplementary materials to this article.

This study presents a normative database of Spanish restricted length word stems that provides useful information for the selection of stimuli in memory experiments with Word Stem Completion (WSC) tasks. The database includes indices relative to stems (total baseline completion, priming baseline completion, priming, number of completions, ratio between given and deleted letters, and syllabic structure), and indices relative to characteristics of the words used to obtain the stems (frequency, familiarity, number of meanings, length, number of syllables, arousal, and valence). A WSC task was performed by 515 participants to calculate priming and baseline indices. An Exploratory Factor Analysis showed that these indices are grouped in four factors: perceptual, lexical, emotional, and response competition. Stepwise regression analyses performed with these factors showed that the lexical, response competition, and perceptual factors predict priming baseline completion, while only the lexical factor predicts priming. The model that best explains the relationship between priming and priming baseline completion was a cubic model, and the optimum baseline values for achieving priming were between .31 and .36. These norms can be downloaded as Supplemental Materials for this article from https://nuvol.uv.es/owncloud/index.php/s/hpj9by1qbENdjfj .

Words are widely used as stimuli in cognitive research. Because of their complexity, using words requires strict control of their objective (lexical and sublexical) and subjective properties. In this work, we present the Minho Word Pool (MWP), a dataset that provides normative values of imageability, concreteness, and subjective frequency for 3,800 (European) Portuguese words-three subjective measures that, in spite of being used extensively in research, have been scarce for Portuguese. Data were collected with 2,357 college students who were native speakers of European Portuguese. The participants rated 100 words drawn randomly from the full set for each of the three subjective indices, using a Web survey procedure (via a URL link). Analyses comparing the MWP ratings with those obtained for the same words from other national and international databases showed that the MWP norms are reliable and valid, thus providing researchers with a useful tool to support research in all neuroscientific areas using verbal stimuli. The MWP norms can be downloaded along with this article or from http://p-pal.di.uminho.pt/about/databases .

textcopyright} 2016, The Author(s). In this article, we introduce HelexKids, an online written-word database for Greek-speaking children in primary education (Grades 1 to 6). The database is organized on a grade-by-grade basis, and on a cumulative basis by combining Grade 1 with Grades 2 to 6. It provides values for Zipf, frequency per million, dispersion, estimated word frequency per million, standard word frequency, contextual diversity, orthographic Levenshtein distance, and lemma frequency. These values are derived from 116 textbooks used in primary education in Greece and Cyprus, producing a total of 68,692 different word types. HelexKids was developed to assist researchers in studying language development, educators in selecting age-appropriate items for teaching, as well as writers and authors of educational books for Greek/Cypriot children. The database is open access and can be searched online at www.helexkids.org.

Color has the ability to influence a variety of human behaviors, such as object recognition, the identification of facial expressions, and the ability to categorize stimuli as positive or negative. Researchers have started to examine the relationship between emotional words and colors, and the findings have revealed that brightness is often associated with positive emotional words and darkness with negative emotional words (e.g., Meier, Robinson, {\&} Clore, Psychological Science, 15, 82-87, 2004). In addition, words such as anger and failure seem to be inherently associated with the color red (e.g., Kuhbandner {\&} Pekrun). The purpose of the present study was to construct norms for positive and negative emotion and emotion-laden words and their color associations. Participants were asked to provide the first color that came to mind for a set of 160 emotional items. The results revealed that the color RED was most commonly associated with negative emotion and emotion-laden words, whereas YELLOW and WHITE were associated with positive emotion and emotion-laden words, respectively. The present work provides researchers with a large database to aid in stimulus construction and selection.

Textual analysis has been applied to various fields, such as discourse analysis, corpus studies, text leveling, and automated essay evaluation. Several tools have been devel-oped for analyzing texts written in alphabetic languages such as English and Spanish. However, currently there is no tool available for analyzing Chinese-language texts. This article introduces a tool for the automated analysis of simplified and traditional Chinese texts, called the Chinese Readability Index Explorer (CRIE). Composed of four subsystems and incorporating 82 multilevel linguistic features, CRIE is able to conduct the major tasks of segmentation, syntactic parsing, and feature extraction. Furthermore, the integration of linguis-tic features with machine learning models enables CRIE to provide leveling and diagnostic information for texts in lan-guage arts, texts for learning Chinese as a foreign language, and texts with domain knowledge. The usage and validation of the functions provided by CRIE are also introduced.

Written symbols such as letters have been extensively used in cognitive psychology, be it to understand their contribution to written word recognition or to examine processes involved in other mental functions. Sometimes, however, researchers want to manipulate letters while removing their associated characteristics. A powerful solution to do so is to use new characters, devised to be highly similar to letters, but without associated sound or name. Given the growing use of artificial characters in experimental paradigms, the aim of the present study was to make available the Brussels Artificial Character Sets (BACS), two full, strictly controlled, and portable sets of artificial characters for a broad range of experimental situations.

Most experimental research making use of the Japanese language has involved the 1945 officially standardized kanji (Japanese logographic characters) in the Jōyō kanji list (originally announced by the Japanese government in 1981). However, this list was extensively modified in 2010: five kanji were removed and 196 kanji were added; the latest revision of the list now has a total of 2136 kanji. Using an up-to-date corpus consisting of 11 years' worth of articles printed in the Mainichi Newspaper (2000-2010), we have constructed two novel databases that can be used in psychological research using the Japanese language: (1) a database containing a wide variety of properties on the latest 2136 Jōyō kanji, and (2) a novel database containing 27,950 two-kanji compound words (or jukugo). Based on these two databases, we have created an interactive website ( www.kanjidatabase.com ) to retrieve and store linguistic information to be used in psychological and linguistic experiments. The present paper reports the most important characteristics for the new databases, as well as their value for experimental psychological and linguistic research

Emotion expression in human-human interaction takes place via various types of information, including body motion. Research on the perceptual-cognitive mechanisms underlying the processing of natural emotional body language can benefit greatly from datasets of natural emotional body expressions that facilitate stimulus manipulation and analysis. The existing databases have so far focused on few emotion categories which display predominantly prototypical, exaggerated emotion expressions. Moreover, many of these databases consist of video recordings which limit the ability to manipulate and analyse the physical properties of these stimuli. We present a new database consisting of a large set (over 1400) of natural emotional body expressions typical of monologues. To achieve close-to-natural emotional body expressions, amateur actors were narrating coherent stories while their body movements were recorded with motion capture technology. The resulting 3-dimensional motion data recorded at a high frame rate (120 frames per second) provides fine-grained information about body movements and allows the manipulation of movement on a body joint basis. For each expression it gives the positions and orientations in space of 23 body joints for every frame. We report the results of physical motion properties analysis and of an emotion categorisation study. The reactions of observers from the emotion categorisation study are included in the database. Moreover, we recorded the intended emotion expression for each motion sequence from the actor to allow for investigations regarding the link between intended and perceived emotions. The motion sequences along with the accompanying information are made available in a searchable MPI Emotional Body Expression Database. We hope that this database will enable researchers to study expression and perception of naturally occurring emotional body expressions in greater depth.

Words are frequently used as stimuli in cognitive psychology experiments, for example, in recognition memory studies. In these experiments, it is often desirable to control for the words' psycholinguistic properties because differences in such properties across experi-mental conditions might introduce undesirable confounds. In order to avoid confounds, stud-ies typically check to see if various affective and lexico-semantic properties are matched across experimental conditions, and so databases that contain values for these properties are needed. While word ratings for these variables exist in English and other European lan-guages, ratings for Chinese words are not comprehensive. In particular, while ratings for sin-gle characters exist, ratings for two-character words—which often have different meanings than their constituent characters, are scarce. In this study, ratings for 292 two-character Chi-nese nouns were obtained from Cantonese speakers in Hong Kong. Affective variables, including valence and arousal, and lexico-semantic variables, including familiarity, concrete-ness, and imageability, were rated in the study. The words were selected from a film subtitle database containing word frequency information that could be extracted and listed along-side the resulting ratings. Overall, the subjective ratings showed good reliability across all rated dimensions, as well as good reliability within and between the different groups of par-ticipants who each rated a subset of the words. Moreover, several well-established relation-ships between the variables found consistently in other languages were also observed in this study, demonstrating that the ratings are valid. The resulting word database can be used in studies where control for the above psycholinguistic variables is critical to the research design. PLOS ONE | https://doi.org/10.1371/journal.pone.0174569 March 27, 2017 1 / 16 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS Citation: Yee LTS (2017) Valence, arousal, familiarity, concreteness, and imageability ratings for 292 two-character Chinese nouns in Cantonese speakers in Hong Kong. PLoS ONE 12(3):

In many research domains, researchers have employed gradually morphing pictures to study perception under ambiguity. Despite their inherent utility, only a limited number of stimulus sets are available, and those sets vary substantially in quality and perceptual complexity. Here we present normative data for 40 morphing picture series. In all sets, line drawings of pictures of common objects are morphed over 15 iterations into a completely different object. Objects are either morphed from an animate to an inanimate object (or vice versa) or morphed within the animate and inanimate object categories. These pictures, together with the normative naming data presented here, will be of value for research on a diverse range of questions, from perceptual processing to decision making.

Perceptual information is important for the meaning of nouns. We present modality exclusivity norms for 485 Dutch nouns rated on visual, auditory, haptic, gustatory, and olfactory associations. We found these nouns are highly multimodal. They were rated most dominant in vision, and least in olfaction. A factor analysis identified two main dimensions: one loaded strongly on olfaction and gustation (reflecting joint involvement in flavor), and a second loaded strongly on vision and touch (reflecting joint involvement in manipulable objects). In a second study, we validated the ratings with similarity judgments. As expected, words from the same dominant modality were rated more similar than words from different dominant modalities; but – more importantly – this effect was enhanced when word pairs had high modality strength ratings. We further demonstrated the utility of our ratings by investigating whether perceptual modalities are differentially experienced in space, in a third study. Nouns were categorized into their dominant modality and used in a lexical decision experiment where the spatial position of words was either in proximal or distal space. We found words dominant in olfaction were processed faster in proximal than distal space compared to the other modalities, suggesting olfactory information is mentally simulated as “close” to the body. Finally, we collected ratings of emotion (valence, dominance, and arousal) to assess its role in perceptual space simulation, but the valence did not explain the data. So, words are processed differently depending on their perceptual associations, and strength of association is captured by modality exclusivity ratings.

In languages where the position of lexical stress within a word is not predictable from print, readers rely on distributional information extracted from the lexicon in order to assign stress. Lexical databases are thus especially important for researchers willing to address stress assignment in those languages. Here we present Q2Stress, a new database aimed to fill the lack of such a resource for Italian. Q2Stress includes multiple cues readers may use in assigning stress, such as type and token frequency of stress patterns as well as their distribution with respect to number of syllables, grammatical category, word beginnings, word endings, and consonant-vowel structures. Furthermore, for the first time, data for both adults and children are available. Q2Stress may help researchers to answer empirical as well as theoretical questions about stress assignment and stress-related issues, and more in general, to explore the orthography-to-phonology relation in reading. Q2Stress is designed as a user-friendly resource, as it comes with scripts allowing researchers to explore and select their own stimuli according to several criteria as well as summary tables for overall data analysis.

Faces impart exhaustive information about their bearers, and are widely used as stimuli in psychological research. Yet many extant facial stimulus sets have sub- stantially less detail than faces encountered in real life. In this paper, we describe a new database of facial stimuli, the Multi-Racial Mega-Resolution database (MR2). The MR2 includes 74 extremely high resolution images of European, African, and East Asian faces. This database provides a high-quality, diverse, naturalistic, and well-controlled facial image set for use in research. The MR2 is available under a Creative Commons license, and may be accessed online.

Concreteness ratings are presented for 37,058 English words and 2,896 two-word expressions (such as zebra crossing and zoom in), obtained from over 4,000 participants by means of a norming study using Internet crowdsourcing for data collection. Although the instructions stressed that the assessment of word concreteness would be based on experiences involving all senses and motor responses, a comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences. The reported data set is a subset of a comprehensive list of English lemmas and contains all lemmas known by at least 85 {\%} of the raters. It can be used in future research as a reference list of generally known English lemmas.

We have developed and tested 144 compound remote associate problems. Across eight experiments, 289 participants were given four time limits (2 sec, 7 sec, 15 sec, or 30 sec) for solving each problem. This paper provides a brief overview of the problems and normative data regarding the percentage of participants solving, and mean time-to-solution for, each problem at each time limit. These normative data can be used in selecting problems on the basis of difficulty or mean time necessary for reaching a solution.

In the present study, we present normative ratings of free association for 139 European Portuguese (EP) words among 7- to 8-, 9- to 10-, and 11- to 12-year-old children attending the 3rd, 5th, and 7th grades of elementary and middle school in Portugal. For each word, five indices are presented: (a) the percentage of associates, (b) the strength of the first associate, (c) the strength of the second associate, (d) the distance between the first and second associates, and (e) the percentage of idiosyncratic responses. Additionally, grade-level frequency values for each word from the ESCOLEX database (Soares et al., in press) are also provided. As expected, the results revealed developmental changes in the knowledge organization of the children, which occurred at the ages of 9–10 (5th grade) and remained stable in the 11- to 12-year-old children (7th grade). Specifically, we observed a decrease in the percentages of associates and idiosyncratic responses, as well as an increase in the strengths of the first and second associates from the 3rd to the 5th grade. Moreover, a comparative analysis with the previous work of Carneiro, Albuquerque, Fernandez, and Esteves (2004) on EP and Macizo, G{\'{o}}mez-Ariza, and Bajo (2000) on Spanish, for the subsets of common words (16 and 58, respectively), showed that the present norms fit well with previous EP data, but differ from the Spanish data.

textcopyright} 2016 Psychonomic Society, Inc.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.

In this study, we present the normative values of the adaptation of the International Affective Digitized Sounds (IADS-2; Bradley {\&} Lang, 2007a) for European Portuguese (EP). The IADS-2 is a standardized database of 167 naturally occurring sounds that is widely used in the study of emotions. The sounds were rated by 300 college students who were native speakers of EP, in the three affective dimensions of valence, arousal, and dominance, by using the Self-Assessment Manikin (SAM). The aims of this adaptation were threefold: (1) to provide researchers with standardized and normatively rated affective sounds to be used with an EP population; (2) to investigate sex and cultural differences in the ratings of affective dimensions of auditory stimuli between EP and the American (Bradley {\&} Lang, 2007a) and Spanish (Fern{\'{a}}ndez-Abascal et al., Psicothema 20:104-113 2008; Redondo, Fraga, Padr{\'{o}}n, {\&} Pi{\~{n}}eiro, Behavior Research Methods 40:784-790 2008) standardizations; and (3) to promote research on auditory affective processing in Portugal. Our results indicated that the IADS-2 is a valid and useful database of digitized sounds for the study of emotions in a Portuguese context, allowing for comparisons of its results with those of other international studies that have used the same database for stimulus selection. The normative values of the EP adaptation of the IADS-2 database can be downloaded along with the online version of this article.

In the present study, we collected valence, arousal, concreteness, familiarity, imageability, and context availabili-ty ratings for a total of 1,100 Chinese words. The ratings for all variables were collected with 9-point Likert scales. We tested the reliability of the present database by comparing it to the extant Chinese Affective Word System, and performed split-half correlations for all six variables. We then evaluated the relationships between all variables. Regarding the affective variables, we found a typical quadratic relation between va-lence and arousal, in line with previous findings. Likewise, significant correlations were found between the semantic var-iables. Importantly, we explored the relationships between ratings for the affective variables (i.e., valence and arousal) and concreteness ratings, suggesting that valence and arousal ratings can predict concreteness ratings. This database of af-fective norms will be a valuable source of information for emotion research that makes use of Chinese words, and will enable researchers to use highly controlled Chinese verbal stimuli to more reliably investigate the relation between cog-nition and emotion.

The Battig and Montague (1969) category norms have been an invaluable tool for researchers in many fields, with a recent literature search revealing their use in over 1600 projects published in more than 200 different journals. Since 1969, numerous changes have occurred culturally that warrant the collection of new normative data. For instance, in the mid-1960s, the waltz was a popular dance, and undergraduates wore rubbers on their feet. To meet the need for updated norms, we report an expanded version of the Battig and Montague (1969) norms, based on responses from three different sites varying in geographical locations within the United States. The norms were expanded to include new categories (e.g., ad hoc categories) and new measures, most notably latencies for the generated responses. Analyses demonstrated high levels of geographical stability across the new sites, with lower and more variable levels of generational stability between the Battig and Montague norms and the current norms.

This article describes a new software tool called RadicalLocator that can be used to automatically identify (e.g., for visual inspection) individual target radicals (i.e., groups of strokes) in written Chinese characters. We first briefly clarify why this software is useful for research purposes and discuss the factors that make this pattern recognition task so difficult. We then describe how the software can be downloaded and installed, and used to identify the radicals in characters for the purposes of, for example, selecting materials for psycholinguistic experiments. Finally, we discuss several known limitations of the software and heuristics for addressing them.

The Corpus of Contemporary American English ( COCA ), which was released online in early 2008, is the first large and diverse corpus of American English. In this paper, we first discuss the design of the corpus — which contains more than 385 million words from 1990–2008 (20 million words each year), balanced between spoken, fiction, popular magazines, newspapers, and academic journals. We also discuss the unique relational databases architecture, which allows for a wide range of queries that are not available (or are quite difficult) with other architectures and interfaces. To conclude, we consider insights from the corpus on a number of cases of genre-based variation and recent linguistic variation, including an extended analysis of phrasal verbs in contemporary American English.

This paper describes a computerised database of psycholinguistic information. Semantic, syntactic, phonological and orthographic information about some or all of the 98,538 words in the database is accessible, by using a specially-written and very simple programming language. Word-association data are also included in the database. Some examples are given of the use of the database for selection of stimuli to be used in psycholinguistic experimentation or linguistic research.

In the present study, we report naming latencies and norms for 327 photos of objects in Dutch. We provide norms for eight psycholinguistic variables: age of acquisition, familiarity, imageability, image agreement, objective and subjective visual complexity, word frequency, word length in syllables and letters, and name agreement. Furthermore, multiple regression analyses revealed that the significant predictors of photo-naming latencies were name agreement, word frequency, imageability, and image agreement. The naming latencies, norms, and stimuli are provided as supplemental materials.

Druks and Masterson [Druks J, Masterson J. An object and action naming battery with pairwise matching on various psycholinguistic characteristics. (Submitted).] produced a set of 164 object and 102 action pictures which are matched on a range of variables known to affect the availability of picture names. In the present paper we describe the development of the set of pictures and provide the verbal labels for the pictures together with their printed word frequency values and ratings for age-of-acquisition, familiarity and imageability; we also present semantic categories for the verbal labels. Finally, we give visual complexity ratings for the pictures. The materials can be used for a range of psycholinguistic experiments and also for assessment and remediation with clinical populations.

NIM is Web-based software developed to help experimenters with some of the usual tasks carried out in psycholinguistic studies. It allows the user to search for words according to several variables, such as length, matching substrings, lexical frequency, or part of speech, in English, Spanish, and Catalan. NIM also provides the user with the possibilities to obtain different word metrics, such as lexical frequency, length, and part of speech; to find intralanguage and cross-language lexical neighbors; and to get control words for critical stimuli. Regardless of the language used, the program also enables the user to get the orthographic similarity between word pairs and to identify repeated items in lists of experimental stimuli. NIM is free and is publicly available at http://psico.fcep.urv.cat/utilitats/nim/ .

We review recent evidence indicating that researchers in experimental psychology may have used suboptimal estimates of word frequency. Word frequency measures should be based on a corpus of at least 20 million words that contains language participants in psychology experiments are likely to have been exposed to. In addition, the quality of word frequency measures should be ascertained by correlating them with behavioral word processing data. When we apply these criteria to the word frequency measures available for the German language, we find that the commonly used Celex frequencies are the least powerful to predict lexical decision times. Better results are obtained with the Leipzig frequencies, the dlexDB frequencies, and the Google Books 2000–2009 frequencies. However, as in other languages the best performance is observed with subtitle-based word frequencies. The SUBTLEX-DE word frequencies collected for the present ms are made available in easy-to-use files and are free for educational purposes.

We present word frequencies based on subtitles of British television programmes. We show that the SUBTLEX-UK word frequencies explain more of the variance in the lexical decision times of the British Lexicon Project than the word frequencies based on the British National Corpus and the SUBTLEX-US frequencies. In addition to the word form frequencies, we also present measures of contextual diversity part-of-speech specific word frequencies, word frequencies in children programmes, and word bigram frequencies, giving researchers of British English access to the full range of norms recently made available for other languages. Finally, we introduce a new measure of word frequency, the Zipf scale, which we hope will stop the current misunderstandings of the word frequency effect.

Measures of icon designs rely heavily on surveys of the perceptions of population samples. Thus, measuring the extent to which changes in the structure of an icon will alter its perceived complexity can be costly and slow. An automated system capable of producing reliable estimates of perceived complexity could reduce development costs and time. Measures of icon complexity developed by Garcia, Badre, and Stasko (1994) and McDougall, Curry, and de Bruijn (1999) were correlated with six icon properties measured using Matlab (MathWorks, 2001) software, which uses image-processing techniques to measure icon properties. The six icon properties measured were icon foreground, the number of objects in an icon, the number of holes in those objects, and two calculations of icon edges and homogeneity in icon structure. The strongest correlates with human judgments of perceived icon complexity (McDougall et al., 1999) were structural variability (r(s) = .65) and edge information (r(s) = .64).

In this article, we present the first open-access lexical database that provides phonological representations for 120,000 Italian word forms. Each of these also includes syllable boundaries and stress markings and a comprehensive range of lexical statistics. Using data derived from this lexicon, we have also generated a set of derived databases and provided estimates of positional frequency use for Italian phonemes, syllables, syllable onsets and codas, and character and phoneme bigrams. These databases are freely available from phonitalia.org. This article describes the methods, content, and summarizing statistics for these databases. In a first application of this database, we also demonstrate how the distribution of phonological substitution errors made by Italian aphasic patients is related to phoneme frequency.

We developed affective norms for 1,121 Italian words in order to provide researchers with a highly controlled tool for the study of verbal processing. This database was developed from translations of the 1,034 English words present in the Affective Norms for English Words (ANEW; Bradley {\&} Lang, 1999) and from words taken from Italian semantic norms (Montefinese, Ambrosini, Fairfield, {\&} Mammarella, Behavior Research Methods, 45, 440–461, 2013). Participants evaluated valence, arousal, and dominance using the Self-Assessment Manikin (SAM) in a Web survey procedure. Participants also provided evaluations of three subjective psycholinguistic indexes (familiarity, imageability, and concreteness), and five objective psycholinguistic indexes (e.g., word frequency) were also included in the resulting database in order to further characterize the Italian words. We obtained a typical quadratic relation between valence and arousal, in line with previous findings. We also tested the reliability of the present ANEW adaptation for Italian by comparing it to previous affective databases and performing split-half correlations for each variable. We found high split-half correlations within our sample and high correlations between our ratings and those of previous studies, confirming the validity of the adaptation of ANEW for Italian. This database of affective norms provides a tool for future research about the effects of emotion on human cognition.

Formal and semantic overlap across languages plays an important role in bilingual language processing systems. In the present study, Japanese (first language; L1)–English (second language; L2) bilinguals rated 193 Japanese–English word pairs, including cognates and noncognates, in terms of phonological and semantic similarity. We show that the degree of cross-linguistic overlap varies, such that words can be more or less “cognate,” in terms of their phonological and semantic overlap. Bilinguals also translated these words in both directions (L1–L2 and L2–L1), providing a measure of translation equivalency. Notably, we reveal for the first time that Japanese–English cognates are “special,” in the sense that they are usually translated using one English term (e.g., コール /kooru/ is always translated as “call”), but the English word is translated into a greater variety of Japanese words. This difference in translation equivalency likely extends to other nonetymologically related, different-script languages in which cognates are all loanwords (e.g., Korean–English). Norming data were also collected for L1 age of acquisition, L1 concreteness, and L2 familiarity, because such information had been unavailable for the item set. Additional information on L1/L2 word frequency, L1/L2 number of senses, and L1/L2 word length and number of syllables is also provided. Finally, correlations and characteristics of the cognate and noncognate items are detailed, so as to provide a complete overview of the lexical and semantic characteristics of the stimuli. This creates a comprehensive bilingual data set for these different-script languages and should be of use in bilingual word recognition and spoken language research.