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

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.

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.

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.

The influence of congruency proportion, target eccentricity, and valence strength on the spatial-valence metaphoric congruency effect in a word valence judgment task

In a word valence judgment task, positive words (e.g., excellence) are judged faster when presented at the top (congruent position) than at the bottom of the screen (incongruent position), whereas the opposite pattern occurs for negative words (e.g., disaster). This spatial-valence metaphoric congruency effect reflects top-positive/bottom-negative metaphoric association and may be attributed to at least three possible mechanisms: spreading activation between spatial and valence concepts (activation account), epistemic function that a conceptual metaphor serves to reduce the uncertainty associated with valence concepts (epistemic account), and/or the extent to which spatial-valence metaphoric association is relevant to task demand (relevance account). In three experiments, we manipulated congruency proportion, target eccentricity, and valence strength in a word valence judgment task to test these three possible accounts. Results showed that the metaphoric congruency effect was larger when a high (vs. equal) proportion of targets appears in congruent, relative to incongruent, position, and for targets with strong (vs. weak) valence. However, the effect in reaction time measure was not modulated by whether the target appeared in the position being near vs. far away from the center of the screen. The overall findings are better accommodated by the relevance account. The implications of the current findings on other theoretical accounts, such as Conceptual Metaphor Theory and polarity correspondence account, are also discussed.