Chinese Lexicon Project (Sze et al., 2014) summarized lexical decision response data of 2,500 Chinese characters. The original analysis has showed that the newest character frequency norm accounts the most variance of reaction times. The variance of these response data are analyzed in terms of the character frequency, strokes, and structures in use of the norms from Taiwan. First of all, simplified characters ranked as high frequency have greater performance on reaction times, but these characters ranked as lower frequency in traditional scripts have overestimated response points. Secondly many simplified characters are transformed from complex to simple, and strokes are substantial discrepancy between Chinese scripts. Finally, stuructre of character takes a large proportion of variance in the response data. The covariance of structure and character frequency also shows a significant trend. Our current work reveals some critical thinkings on using mega-data as the approach to study Chinese character processing.

Most of Chinese corpus were created for single-character words with indexes, such as frequency, stroke number, and phonetic information, for the purposes of basic research. However, multi-character Chinese words are recognized of referring alterations of meaning and more useful for investigating reading processes and comprehension. Therefore, for studying complete relations between words and lexicons of Chinese, a corpus requires statistics based on more than single-character words with valid and reliable indexes. In this study, we illustrate a corpus of Traditional Chinese providing five word indexes, including word sound, word position, word form, semantics, and competence of forming multi-character words by integrating current credible corpus. The integration approach of the present study is beneficial not only for minimizing inconsistencies of word entities between corpus, but also for calculating quantitative properties of character-to-character relationship. The utilization of the present corpus will significantly impact the studies of Chinese words and reading comprehension.