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

Decoding the essence of two-character Chinese words: Unveiling valence, arousal, concreteness, familiarity, and imageability through word norming

Investigation of affective and semantic dimensions of words is essential for studying word processing. In this study, we expanded Tse et al.'s (Behav Res Methods 49:1503-1519, 2017; Behav Res Methods 55:4382-4402, 2023) Chinese Lexicon Project by norming five word dimensions (valence, arousal, familiarity, concreteness, and imageability) for over 25,000 two-character Chinese words presented in traditional script. Through regression models that controlled for other variables, we examined the relationships among these dimensions. We included ambiguity, quantified by the standard deviation of the ratings of a given lexical variable across different raters, as separate variables (e.g., valence ambiguity) to explore their connections with other variables. The intensity-ambiguity relationships (i.e., between normed variables and their ambiguities, like valence with valence ambiguity) were also examined. In these analyses with a large pool of words and controlling for other lexical variables, we replicated the asymmetric U-shaped valence-arousal relationship, which was moderated by valence and arousal ambiguities. We also observed a curvilinear relationship between valence and familiarity and between valence and concreteness. Replicating Brainerd et al.'s (J Exp Psychol Gen 150:1476-1499, 2021; J Mem Lang 121:104286, 2021) quadratic intensity-ambiguity relationships, we found that the ambiguity of valence, arousal, concreteness, and imageability decreases as the value of these variables is extremely low or extremely high, although this was not generalized to familiarity. While concreteness and imageability were strongly correlated, they displayed different relationships with arousal, valence, familiarity, and valence ambiguity, suggesting their distinct conceptual nature. These findings further our understanding of the affective and semantic dimensions of two-character Chinese words. The normed values of all these variables can be accessed via https://osf.io/hwkv7 .

HeLP: The Hebrew Lexicon project

Lexicon projects (LPs) are large-scale data resources in different languages that present behavioral results from visual word recognition tasks. Analyses using LP data in multiple languages provide evidence regarding cross-linguistic differences as well as similarities in visual word recognition. Here we present the first LP in a Semitic language-the Hebrew Lexicon Project (HeLP). HeLP assembled lexical decision (LD) responses to 10,000 Hebrew words and nonwords, and naming responses to a subset of 5000 Hebrew words. We used the large-scale HeLP data to estimate the impact of general predictors (lexicality, frequency, word length, orthographic neighborhood density), and Hebrew-specific predictors (Semitic structure, presence of clitics, phonological entropy) of visual word recognition performance. Our results revealed the typical effects of lexicality and frequency obtained in many languages, but more complex impact of word length and neighborhood density. Considering Hebrew-specific characteristics, HeLP data revealed better recognition of words with a Semitic structure than words that do not conform to it, and a drop in performance for words comprising clitics. These effects varied, however, across LD and naming tasks. Lastly, a significant inhibitory effect of phonological ambiguity was found in both naming and LD. The implications of these findings for understanding reading in a Semitic language are discussed.

The role of individual differences in emotional word recognition: Insights from a large-scale lexical decision study

This work presents a large lexical decision mega-study in Spanish, with 918 participants and 7500 words, focusing on emotional content and individual differences. The main objective was to investigate how emotional valence and arousal influence word recognition, controlling for a large number of confounding variables. In addition, as a unique contribution, the study examined the modulation of these effects by individual differences. Results indicated a significant effect of valence and arousal on lexical decision times, with an interaction between these variables. A linear effect of valence was observed, with slower recognition times for negative words and faster recognition times for positive words. In addition, arousal showed opposite effects in positive and negative words. Importantly, the effect of emotional variables was affected by personality traits (extroversion, conscientiousness and openness to experience), age and gender, challenging the 'one-size-fits-all' interpretation of emotional word processing. All data collected in the study is available to the research community: https://osf.io/cbtqy . This includes data from each participant (RTs, errors and individual differences scores), as well as values of concreteness (n = 1690), familiarity (n = 1693) and age of acquisition (n = 2171) of the words collected exclusively for this study. This is a useful resource for researchers interested not only in emotional word processing, but also in lexical processing in general and the influence of individual differences.

The Chinese lexicon of deaf readers: A database of character decisions and a comparison between deaf and hearing readers

We present a psycholinguistic study investigating lexical effects on simplified Chinese character recognition by deaf readers. Prior research suggests that deaf readers exhibit efficient orthographic processing and decreased reliance on speech-based phonology in word recognition compared to hearing readers. In this large-scale character decision study (25 participants, each evaluating 2500 real characters and 2500 pseudo-characters), we analyzed various factors influencing character recognition accuracy and speed in deaf readers. Deaf participants demonstrated greater accuracy and faster recognition when characters were more frequent, were acquired earlier, had more strokes, displayed higher orthographic complexity, were more imageable in reference, or were less concrete in reference. Comparison with a previous study of hearing readers revealed that the facilitative effect of frequency on character decision accuracy was stronger for deaf readers than hearing readers. The effect of orthographic-phonological regularity differed significantly for the two groups, indicating that deaf readers rely more on orthographic structure and less on phonological information during character recognition. Notably, increased stroke counts (i.e., higher orthographic complexity) hindered hearing readers but facilitated recognition processes in deaf readers, suggesting that deaf readers excel at recognizing characters based on orthographic structure. The database generated from this large-scale character decision study offers a valuable resource for further research and practical applications in deaf education and literacy.

A large-scale database of Chinese characters and words collected from elementary school textbooks

Lexical databases are essential tools for studies on language processing and acquisition. Most previous Chinese lexical databases have focused on materials for adults, yet little is known about reading materials for children and how lexical properties from these materials affect children's reading comprehension. In the present study, we provided the first large database of 2999 Chinese characters and 2182 words collected from the official textbooks recently issued by the Ministry of Education (MOE) of the People's Republic of China for most elementary schools in Mainland China, as well as norms from both school-aged children and adults. The database incorporates key orthographic, phonological, and semantic factors from these lexical units. A word-naming task was used to investigate the effects of these factors in character and word processing in both adults and children. The results suggest that: (1) as the grade level increases, visual complexity of those characters and words increases whereas semantic richness and frequency decreases; (2) the effects of lexical predictors on processing both characters and words vary across children and adults; (3) the effect of age of acquisition shows different patterns on character and word-naming performance. The database is available on Open Science Framework (OSF) ( https://osf.io/ynk8c/?view_only=5186bd68549340bd923e9b6531d2c820 ) for future studies on Chinese language development.

Rethinking orthographic neighbor in Chinese two-character word recognition: Insights from a megastudy

The influence of orthographic neighbors on visual word recognition is well established in alphabetic scripts. To determine the universality of this effect across writing systems, researchers have been keen on exploring its presence and nature in Chinese word recognition. Given that Chinese is logographic, it necessitates a different definition for orthographic neighbors from the ones used in alphabetic scripts. One popular approach is to consider words that share characters as orthographic neighbors. Adopting this definition, a facilitative effect has been observed for characters that can create more words. However, as characters are also morphemes in Chinese, the facilitation found might actually come from a larger morphological family size. This possibility was tested in the present study by analyzing data from the Chinese Lexicon Project (CLP; Tse et al., Behavior Research Methods, 49, 1503-1519, 2017, Behavior Research Methods, 49, 1503-1519, 2022), a megastudy of two-character word recognition in traditional Chinese. If the effects of character-sharing are indeed morphological in nature, the facilitation should be smaller for ambiguous characters because the words formed are distributed over several morphological families. The results of the analyses were consistent with this hypothesis, revealing interactions between the number of words formed by a character and the number of meanings of the character. The implications of these findings were discussed in the context of definitions of orthographic neighbors and theories of word recognition in Chinese.

Masked Translation Priming Effects for Chinese-English-Japanese Triple Cognates in Lexical Decision Tasks

Previous research has demonstrated cognate translation priming effects in masked priming lexical decision tasks (LDTs) even when a bilingual's two languages have different scripts. Because those effect sizes are normally larger than with noncognates, the effects have been partially attributed to the impact of prime-target phonological similarity. The present research extended that work by examining priming effects when using triple different-script cognates, i.e., /ka1 feɪ1/-coffee-コーヒー/KoRhiR/. Specifically, masked cognate priming effects were examined in six different priming directions (i.e., L1↔L2, L1↔L3, and L2↔L3) for Chinese-English-Japanese trilinguals using LDTs. Significant priming effects were observed only when the primes were from the stronger language. This asymmetric pattern suggests that the phonological similarity of cognate primes only facilitates the processing of different-script triple cognates to the extent that the processing of the prime is robust enough to make phonology available before target processing is finished.

Effects of Lexical Properties in L2 Chinese Compound Processing: A Multivariate Approach

Previous studies on L2 (i.e., second language) Chinese compound processing have focused on the relative efficiency of two routes: holistic processing versus combinatorial processing. However, it is still unclear whether Chinese compounds are processed with multilevel representations among L2 learners due to the hierarchical structure of the characters. Therefore, taking a multivariate approach, the present study evaluated the relative influence and importance of different grain sizes of lexical information in an L2 Chinese two-character compound decision task. Results of supervised component generalized linear regression models with random forests analysis revealed that the orthographic, phonological and semantic information all contributed to L2 compound processing, but the L2 learners used more orthographic processing strategies and fewer phonological processing strategies compared to the native speakers. Specifically, the orthographic information was activated at the whole-word, the character and the radical levels in orthographic processing, and the phonological information at the whole-word, the syllable, and the phoneme levels all exerted contributions in phonological processing. Furthermore, the semantic information of the whole words and the constituents was accessed in semantic processing. These findings together suggest that the L2 learners are able to use cues at all levels simultaneously to process Chinese compound words, supporting a multi-route model with a hierarchical morphological structure in such processing.

Neural correlates of emotion-label vs. emotion-laden word processing in late bilinguals: evidence from an ERP study

The brain processes underlying the distinction between emotion-label words (e.g. happy, sad) and emotion-laden words (e.g. successful, failed) remain inconclusive in bilingualism research. The present study aims to directly compare the processing of these two types of emotion words in both the first language (L1) and second language (L2) by recording event-related potentials (ERP) from late Chinese-English bilinguals during a lexical decision task. The results revealed that in the early word processing stages, the N170 emotion effect emerged only for L1 negative emotion-laden words and L2 negative emotion-label words. In addition, larger early posterior negativity (EPN) was elicited by emotion-laden words than emotion-label words in both L1 and L2. In the later processing stages, the N400 emotion effect was evident for L1 emotion words, excluding positive emotion-laden words, while it was absent in L2. Notably, L1 emotion words elicited enhanced N400 and attenuated late positive complex (LPC) compared to those in L2. Taken together, these findings confirmed the engagement of emotion, and highlighted the modulation of emotion word type and valence on word processing in both early and late processing stages. Different neural mechanisms between L1 and L2 in processing written emotion words were elucidated.

Attention capture by own name decreases with speech compression

Auditory stimuli that are relevant to a listener have the potential to capture focal attention even when unattended, the listener's own name being a particularly effective stimulus. We report two experiments to test the attention-capturing potential of the listener's own name in normal speech and time-compressed speech. In Experiment 1, 39 participants were tested with a visual word categorization task with uncompressed spoken names as background auditory distractors. Participants' word categorization performance was slower when hearing their own name rather than other names, and in a final test, they were faster at detecting their own name than other names. Experiment 2 used the same task paradigm, but the auditory distractors were time-compressed names. Three compression levels were tested with 25 participants in each condition. Participants' word categorization performance was again slower when hearing their own name than when hearing other names; the slowing was strongest with slight compression and weakest with intense compression. Personally relevant time-compressed speech has the potential to capture attention, but the degree of capture depends on the level of compression. Attention capture by time-compressed speech has practical significance and provides partial evidence for the duplex-mechanism account of auditory distraction.

LexCHI: A quick lexical test for estimating language proficiency in Chinese

A prominent methodological issue in cognitive research on bilingualism is the lack of consistency in measuring second language (L2) proficiency. To reduce the inconsistency in L2 proficiency measurements, brief and valid vocabulary tests have been developed as an objective measure of proficiency in a variety of languages (e.g., English, French, Spanish). Here, we present LexCHI, a valid lexical test to measure Chinese proficiency. This freely available short test consists of 60 two-character items presented in simplified Chinese. Although it only takes a few minutes to complete LexCHI, the LexCHI scores in two studies correlated significantly with L2 participants' performance in a translation task and a cloze test. We believe that LexCHI is a useful tool for researchers who need to objectively measure Chinese proficiency as part of their investigations.

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

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

LaDEP: A large database of English pseudo-compounds

The Large Database of English Pseudo-compounds (LaDEP) contains nearly 7500 English words which mimic, but do not truly possess, a compound morphemic structure. These pseudo-compounds can be parsed into two free morpheme constituents (e.g., car-pet), but neither constituent functions as a morpheme within the overall word structure. The items were manually coded as pseudo-compounds, further coded for features related to their morphological structure (e.g., presence of multiple affixes, as in ruler-ship), and summarized using common psycholinguistic variables (e.g., length, frequency). This paper also presents an example analysis comparing the lexical decision response times between compound words, pseudo-compound words, and monomorphemic words. Pseudo-compounds and monomorphemic words did not differ in response time, and both groups had slower response times than compound words. This analysis replicates the facilitatory effect of compound constituents during lexical processing, and demonstrates the need to emphasize the pseudo-constituent structure of pseudo-compounds to parse their effects. Further applications of LaDEP include both psycholinguistic studies investigating the nature of human word processing or production and educational or clinical settings evaluating the impact of linguistic features on language learning and impairments. Overall, the items within LaDEP provide a varied and representative sample of the population of English pseudo-compounds which may be used to facilitate further research related to morphological decomposition, lexical access, meaning construction, orthographical influences, and much more.

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

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

Hong Kong Chinese character psycholinguistic norms: ratings of 4376 single Chinese characters on semantic radical transparency, age-of-acquisition, familiarity, imageability, and concreteness

Several norms of psycholinguistic features of Chinese characters exist in Mandarin Chinese, but only a few are available in Cantonese or in the traditional script, and none includes semantic radical transparency ratings. This study presents subjective ratings of age-of-acquisition (AoA), familiarity, imageability, concreteness, and semantic radical transparency in 4376 Chinese characters. The single Chinese characters were rated individually on the five dimensions by 20 native Cantonese speakers in Hong Kong to form the Hong Kong Chinese Character Psycholinguistic Norms (HKCCPN). The split-half reliability and intra-class correlations testified to the high internal reliability of the ratings. Their convergent and discriminant patterns in relations to other psycholinguistic measures echoed previous findings reported on Chinese. There were high correlations for semantic radical transparency, imageability and concreteness, and moderate-to-high correlations for AoA and familiarity among subsets of items that had been collected in previous studies. Concurrent validity analyses showed convergence in predicting behavioral response times in various tasks (lexical decision, naming, and writing-to-dictation) when compared with other Chinese character databases. High predictive validity was shown in writing-to-dictation data from an independent sample of 20 native Cantonese speakers. Several objective psycholinguistic measures (character frequency, stroke number, number of words formed, number of homophones and number of meanings) were included in this database to facilitate its use. These new ratings extend the currently available norms in language and reading research in Cantonese Chinese for researchers, clinicians, and educators, as well as provide them with a wider choice of stimuli.

Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence

The present study examined the effect of both morphological complexity and semantic transparency in Chinese compound word recognition. Using a visual lexical decision task, our electrophysiological results showed that transparent and opaque compounds induced stronger Left Anterior Negativity (LAN) than monomorphemic words. This result suggests that Chinese compounds might be decomposed into their constituent morphemes at the lemma level, whereas monomorphemic words are accessed as a whole-word lemma directly from the form level. In addition, transparent and opaque compounds produced a similar N400 as each other, suggesting that transparency did not show an effect on the involvement of constituent morphemes during access to the whole-word lemma. Two behavioral experiments additionally showed similar patterns to the EEG results. These findings support morphological decomposition for compounds at the lemma level as proposed by the full-parsing model, and no evidence is found to support the role of transparency during Chinese compound word recognition.

Full-form vs. combinatorial processing of Chinese compound words: Evidence from mismatch negativity

This study examined whether Chinese spoken compound words are processed via full-form access or combination through morphemes by recording mismatch negativity (MMN). MMN has been shown to be larger for linguistic units that involves full-form access (lexical MMN enhancement) and smaller for separate but combinable units (combinatorial MMN reduction). Chinse compound words were compared against pseudocompounds, which do not have full-form representations in the long-term memory and are "illegal" combinations. All stimuli were disyllabic (bimorphemic). Word frequency was manipulated with the prediction that low-frequency compounds are more likely processed combinatorially, while high-frequency ones are more likely accessed in full forms. The results showed that low-frequency words elicited smaller MMNs than pseudocompounds, which supported the prediction of combinatorial processing. However, neither MMN enhancement nor reduction was found for high-frequency words. These results were interpreted within the dual-route model framework that assumes simultaneous access to words and morphemes.

Familiarity ratings for 24,325 simplified Chinese words

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

Dynamic tests as a language-free method for assessing reading in a multilingual setting

It is difficult to assess reading ability or diagnose dyslexia in Malaysia due to its complex linguistic background of simultaneous multilingualism and multiliteracy. Low scores on traditional reading tests could be explained by language and contextual factors rather than indicating reading difficulty. One method shown to be less sensitive to specific language factors is the Dynamic Testing paradigm (Elbro et al., 2012). Fifty-nine Malaysian adult readers of English and Bahasa Melayu and/or Chinese were recruited and their performances on the dynamic test assessed. Scores on the Dynamic Test significantly predicted potential reading difficulty as measured by the Adult Reading History Questionnaire (Lefly & Pennington, 2000) but not reading proficiency measured by a Lexical Decision Task (LDT). Participants were then grouped by language of first literacy: alphabetic (English and Bahasa Melayu) or morphosyllabic (Chinese). No significant differences were found between those reading morphosyllabic versus alphabetic orthographies for the Dynamic Test. The Dynamic Test was a significant predictor of potential reading difficulty in the alphabetic group only. Thus, it was concluded that the dynamic format could be a suitable assessment tool for multilinguals, but that further research is required to determine its utility, especially in non-alphabetic languages.

An ERP megastudy of Chinese word recognition

This article reports the first ERP (event-related potential) megastudy in traditional Chinese word recognition. Fifty-one native Chinese undergraduates in Hong Kong, who were native Cantonese speakers, provided ERP data to 1020 two-character words and 204 two-character pseudowords in a go/no-go lexical decision task (go trials: pseudowords). The item list and the ERP data were compiled into a database called "E-MELD" (ERP MEgastudy of Lexical Decision). To illustrate how E-MELD can be utilized in research of traditional Chinese word recognition, a series of linear mixed-effects (LME) models were conducted to examine how properties at word (contextual diversity, number of strokes, and concreteness) and character (contextual diversity, number of homophones, and semantic transparency ratings) levels influenced the ERP amplitudes in different time windows. The results showed that in all time windows, both word and character variables influenced the amplitudes of ERP signals, which argued against the proposal that Chinese two-character words are recognized holistically. At the same time, there was no evidence that character effects preceded word effects (i.e., no evidence of character-mediated word recognition). Overall, the pattern suggests that characters and words are accessed simultaneously in Chinese word recognition. E-MELD is made available online, such that interested researchers can download it and use the data innovatively for their research purpose.

Psycholinguistic norms for a set of 506 French compound words

Compounds are morphologically complex words made of different linguistic parts. They are very prevalent in a number of languages such as French. Different psycholinguistic characteristics of compounds have been used in certain studies to investigate the mechanisms involved in compound processing (see Table 7). We provide psycholinguistic norms for a set of 506 French compound words. The words were normed on seven characteristics: lexeme meaning dominance, semantic transparency, sensory experience, conceptual familiarity, imageability, age of acquisition (AoA) and subjective frequency. Reliability measures were computed for the collected norms. Descriptive statistical analyses, and correlational and multiple regression analyses were performed. We also report some comparisons made between our normative data and certain norms obtained in other similar studies. The entire set of norms, which will be very useful to researchers investigating the processing of compounds, is available as Supplemental Material.

An ERP Study on the Role of Phonological Processing in Reading Two-Character Compound Chinese Words of High and Low Frequency

Unlike in English, the role of phonology in word recognition in Chinese is unclear. In this event-related potential experiment, we investigated the role of phonology in reading both high- and low-frequency two-character compound Chinese words. Participants executed semantic and homophone judgment tasks of the same precede-target pairs. Each pair of either high- or low-frequency words were either unrelated (control condition) or related semantically or phonologically (homophones). The induced P200 component was greater for low- than for high-frequency word-pairs both in semantic and phonological tasks. Homophones in the semantic judgment task and semantically-related words in the phonology task both elicited a smaller N400 than the control condition, word frequency-independently. However, for low-frequency words in the phonological judgment task, it was found that the semantically related pairs released a significantly larger P200 than the control condition. Thus, the semantic activation of both high- and low-frequency words may be no later than phonological activation.

Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project

We present a new dataset of English word recognition times for a total of 62 thousand words, called the English Crowdsourcing Project. The data were collected via an internet vocabulary test in which more than one million people participated. The present dataset is limited to native English speakers. Participants were asked to indicate which words they knew. Their response times were registered, although at no point were the participants asked to respond as quickly as possible. Still, the response times correlate around .75 with the response times of the English Lexicon Project for the shared words. Also, the results of virtual experiments indicate that the new response times are a valid addition to the English Lexicon Project. This not only means that we have useful response times for some 35 thousand extra words, but we now also have data on differences in response latencies as a function of education and age.

Individual differences in Cantonese Chinese word recognition: Insights from the Chinese Lexicon Project

The Chinese Lexicon Project is a repository of lexical decision data for 25,286 Cantonese Chinese two-character compound words. To create that repository, 594 participants responded to approximately 1,404 words and 1,404 nonwords over three sessions. Using the data in this repository, the present study examines the variability and reliability of Chinese lexical decision performance, along with the moderating influence of individual differences on lexical processing. We generally found high to very high within- and between-session reliabilities for mean response times, ex-Gaussian parameters, accuracy rates, and a composite proficiency measure tapping lexical processing fluency. Using linear mixed effects models, we also found reliable interactions between fluency and two lexical effects. Specifically, more fluent readers showed larger effects of word frequency and semantic transparency. These results attest to the stability of Chinese word recognition performance, and are most consistent with a flexible lexical processing system that adapts optimally to task demands.

CLAD: A corpus-derived Chinese Lexical Association Database

The application of word associations has become increasingly widespread. However, the association norms produced by traditional free association tests tend not to exceed 10,000 stimulus words, making the number of associated words too small to be representative of the overall language. In this study we used text corpora totaling over 400 million Chinese words, along with a multitude of association measures, to automatically construct a Chinese Lexical Association Database (CLAD) comprising the lexical association of over 80,000 words. Comparison of the CLAD with a database of traditional Chinese word association norms shows that word associations extracted from large text corpora are similar in strength to those elicited from free association tests but contain a much greater number of associative word pairs. Additionally, the relatively small numbers of participants involved in the creation of traditional norms result in relatively coarse scales of association measurement, whereas the differentiation of association strengths is greatly enhanced in the CLAD. The CLAD provides researchers with a great supplement to traditional word association norms. A query website at www.chinesereadability.net/LexicalAssociation/CLAD/ affords access to the database.

LAB: Linguistic Annotated Bibliography - a searchable portal for normed database information

This article presents the Linguistic Annotated Bibliography (LAB) as a searchable Web portal to quickly and easily access reliable database norms, related programs, and variable calculations. These publications were coded by language, number of stimuli, stimuli type (i.e., words, pictures, symbols), keywords (i.e., frequency, semantics, valence), and other useful information. This tool not only allows researchers to search for the specific type of stimuli needed for experiments but also permits the exploration of publication trends across 100 years of research. Details about the portal creation and use are outlined, as well as various analyses of change in publication rates and keywords. In general, advances in computational power have allowed for the increase in dataset size in the recent decades, in addition to an increase in the number of linguistic variables provided in each publication.

The Massive Auditory Lexical Decision (MALD) database

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.

Word prevalence norms for 62,000 English lemmas

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.

Chinese lexical database (CLD) : A large-scale lexical database for simplified Mandarin Chinese

We present the Chinese Lexical Database (CLD): a large-scale lexical database for simplified Chinese. The CLD provides a wealth of lexical information for 3913 one-character words, 34,233 two-character words, 7143 three-character words, and 3355 four-character words, and is publicly available through http://www.chineselexicaldatabase.com . For each of the 48,644 words in the CLD, we provide a wide range of categorical predictors, as well as an extensive set of frequency measures, complexity measures, neighborhood density measures, orthography-phonology consistency measures, and information-theoretic measures. We evaluate the explanatory power of the lexical variables in the CLD in the context of experimental data through analyses of lexical decision latencies for one-character, two-character, three-character and four-character words, as well as word naming latencies for one-character and two-character words. The results of these analyses are discussed.

Normative data for Chinese-English paired associates

Paired-associate learning is one of the most commonly used paradigms to study human memory. In many of these studies, participants are typically told to learn foreign language-English translations, such as Swahili-English or Lithuanian-English pairs. One limitation of these currently available foreign language-English translation norms is that their foreign languages are based on the alphabetic writing system, thereby preventing researchers from generalizing their findings to languages based on logographic writing systems. In the present study we collected normative data for 160 Chinese-English word pairs. Participants completed three study-test cycles, followed by metacognitive judgments on their learning experience. For each pair, we report recall performance, recall latency, ease of learning, and judgments of learning. A simultaneous multiple regression analysis with frequency (of both the English word and the Chinese character), word length (English), and number of strokes (Chinese) as predictors revealed that a greater number of strokes (or higher visual complexity) for the Chinese characters predicted lower target recall.

MEGALEX: A megastudy of visual and auditory word recognition

Using the megastudy approach, we report a new database (MEGALEX) of visual and auditory lexical decision times and accuracy rates for tens of thousands of words. We collected visual lexical decision data for 28,466 French words and the same number of pseudowords, and auditory lexical decision data for 17,876 French words and the same number of pseudowords (synthesized tokens were used for the auditory modality). This constitutes the first large-scale database for auditory lexical decision, and the first database to enable a direct comparison of word recognition in different modalities. Different regression analyses were conducted to illustrate potential ways to exploit this megastudy database. First, we compared the proportions of variance accounted for by five word frequency measures. Second, we conducted item-level regression analyses to examine the relative importance of the lexical variables influencing performance in the different modalities (visual and auditory). Finally, we compared the similarities and differences between the two modalities. All data are freely available on our website ( https://sedufau.shinyapps.io/megalex/ ) and are searchable at www.lexique.org , inside the Open Lexique search engine.

The role of lexical variables in the visual recognition of two-character Chinese compound words: A megastudy analysis

To examine the effect of lexical variables on two-character Chinese compound word processing, we performed item-level hierarchical regression analyses on lexical decision megastudy data of 18,983 two-character Chinese compound words. The first analysis determined the unique item-level variance explained by orthographic (frequency and stroke count), phonological (consistency, homophonic density), and semantic (transparency) variables. Both character and word variables were considered. Results showed that orthographic and semantic variables, respectively, accounted for more collective variance than phonological variables, suggesting that Chinese skilled readers rely more on orthographic and semantic information than phonological information when processing visually presented words. The second analysis tested interactive effects of lexical variables and showed significant semantic transparency × cumulative character frequency and word frequency × cumulative character frequency interactions. The effect of cumulative character frequency was stronger for transparent words than for opaque words and was stronger for low-frequency words than for high-frequency words. However, there was no semantic transparency × word frequency interaction in reaction time. Implications of the current findings on models of Chinese compound word processing are discussed.