Simplified Chinese Characters Research Articles

A study of the commodification of multilingualism in four cafés in China

Abstract Space is constructed as a particular place by various agents and in a variety of ways, and languages play an important role in the semiotic construction of a space. This study adopts a linguistic landscape approach to explore how languages are commodified for consumption in sites of luxury, i.e., four cafés in Quanzhou, a southeastern city of China. The findings show some similarities and differences in terms of language choice for the four cafés. Despite the similarities and differences, the four shops’ landscapes feature atmospheric multilingualism, where multiple languages and scripts move into a luxury register of late-modern consumption and create the affective regime of luxury and exclusivity. Atmospheric multilingualism is driven by commercial interests and characterized by the commodification of multilingualism and a division of labor among languages in four cafés. In this division, English, other foreign languages, and traditional Chinese characters are employed for their symbolic functions, indexing cosmopolitanism, distinction, luxury, and modernity. Simplified Chinese characters are linked to the interaction order and used in daily business as the main instrument of communication.

Handwriting Movement Abnormalities in Older Adults with Silent Cerebral Small Vessel Disease-A Preliminary Study.

The features of cerebral small vessel disease (CSVD) range from occurrence of asymptomatic radiological markers to symptomatic characteristics that include cognitive deficits and gait decline. The aim of the present study was to examine whether handwriting movement is abnormal in older people with CSVD through handwriting and drawing tasks using digitized handwriting kinematic assessment technology. Older subjects (n = 60) were grouped according to Fazekas score, with 16 in the Severe CSVD group, 12 in the Non-severe group and 32 in the Healthy group. Kinematic data were recorded and analyzed during handwriting and drawing tasks: signature; writing of Chinese characters ("" and ""); and Archimedes' spiral drawing. The Severe CSVD group showed lower velocity and higher tortuosity during signature writing, lower velocity of stroke #4 of "" and vertical size of "" than did the Non-severe and Healthy groups. Both Severe CSVD and Non-severe CSVD subjects displayed higher average normalized jerk than did the Healthy group. Partial correlation analysis adjusting for age, gender, education, and mini-mental state evaluation (MMSE) showed that CSVD burden was positively associated with tortuosity of signature and average normalized jerk of Archimedes' spiral, and was negatively associated with velocity of strokes #3 and #4 of "", as well as vertical size of "". Older adults with CSVD showed abnormal handwriting movement. And the handwriting abnormalities captured by digitized handwriting analysis were correlated with CSVD severity in users of simplified Chinese characters.

The buy-one-get-(almost)-one-free effect of learning traditional or simplified Chinese characters

A set of simplified Chinese characters (k = 995) and their traditional counterparts were presented to habitual traditional and simplified Chinese users, respectively, for recognition. The results showed an accuracy rate of at least 85% in the recognition of simplified characters by traditional Chinese users and in the recognition of traditional characters by simplified Chinese users. Additionally, it took the traditional Chinese users about 2.4 rounds of exposure to correct answers to learn and correctly identify all the simplified characters; it took the simplified Chinese users about 1.8 rounds to learn the traditional ones to the same effect. The results indicate that once the learners have mastered one script, the substantial overlaps between the two, along with a simple feedback for learning, enable the learners to make sense of the other easily. The buy-one-get-(almost)-one-free effect serves to encourage learners of Chinese to pursue bi-script literacy, a realistic and pragmatic goal.

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.

Yi Sheng Character Used in New Practical Chinese Reader Textbook (Volume 1-4)

In view of the current situation that the teaching of Chinese characters' pronunciation is relatively separated from the font and meaning in Teaching Chinese as a Foreign Language (TCFL), this thesis puts forward a plan to introduce the concept of "Yi Sheng character" in Shuowen Jiezi based on the fundamental, practicability and innovative of the New Practical Chinese Reader Textbook (Volume 1-4). This thesis analyses all the Yi Sheng characters and Yi Sheng components mentioned in the "Basic Chinese Characters" section of the New Practical Chinese Reader Textbooks (Volumes 1-4), discusses their associations with modern pronunciation by ancient or modern pronunciation, traditional or simplified Chinese character and phonemic component, in a bid to summarise the associations in meanings between the Yi Sheng components and the Yi Sheng characters. In this way, foreign Chinese learners can gain a holistic understanding of the pronunciation-font-meaning combination of basic Chinese characters.

Assessing lexical ambiguity of simplified Chinese characters: Plurality and relatedness of character meanings.

Lexical ambiguity is pervasive among Chinese characters as many of them are polysemantic, with one orthographic form carrying unrelated meanings, related meanings, or sometimes both unrelated and related meanings. A large-scale database with ambiguity measures for simplified Chinese characters has yet to be developed, which could greatly benefit psycholinguistic research on the Chinese language or cross-language comparisons. This article reports two sets of ratings by native speakers, the perceived number of meanings (pNoM) for 4,363 characters and the perceived relatedness of meanings (pRoM) for a subset of 1,053 characters. These rating-based ambiguity measures capture the representational nuance about a character's meanings stored in average native speakers' mental lexicon, which tends to be obscured by dictionary- and corpus-based ambiguity measures. Consequently, they each account for a reliable portion of variance in the efficiency of character processing, above and beyond the effects of character frequency, age of acquisition, and other types of ambiguity measures. Theoretical and empirical implications with regard to the plurality and the relatedness of character meanings, the two focal aspects of debate on lexical ambiguity, are discussed.

Sentiment annotations for 3827 simplified Chinese characters.

Sentiment analysis in Chinese natural language processing has been largely based on words annotated with sentiment categories or scores. Characters, however, are the basic orthographic, phonological, and in most cases, semantic units in the Chinese language. This study collected sentiment annotations for 3827 characters. The ratings demonstrated high levels of reliability, and were validated through a comparison with the ratings of some characters' word equivalents reported in a previous norming study. Relations with other lexico-semantic variables and character processing efficiency were investigated. Furthermore, analyses of the association between constituent character valence and word valence revealed semantic compositionality and sentiment fusion characteristic of larger Chinese linguistic units. These ratings for characters, expanding current Chinese sentiment lexicons, can be utilized for the purposes of more precise stimuli assessment in research on Chinese character processing and more efficient sentiment analysis equipped with annotations of single-character words.

Teaching Chinese characters to first and second graders during the first covid-19 school closure in China: an observational study.

The COVID-19 pandemic disrupted education around the world, resulting in the implementation of different forms of remote instruction. The present study provided a description of one interesting and unique approach to providing such instruction by analyzing 144 language arts lessons designed and implemented by 61 distinguished and experienced teachers in Xiangzhou, China. The lessons were used to teach first and second grade students the pronunciation, meaning, recognition, and writing of simplified Chinese characters. These lessons provide a possible model for teaching Chinese characters in the future. The 144 lessons were delivered synchronously through live video interactions with two to four students, while other students were able to access them simultaneously at home via an internet device or on TV (the lessons were accessed 2.1 million times). Lessons were taught four to seven times a week, and teachers devoted 58% of lesson time to teaching characters: 69% and 46% of lesson time was spent teaching characters in grades one and two, respectively. A large number of recommended behaviors for teaching characters (77 out of 80 behaviors assessed) were applied across the 144 lessons, but a relatively small number of teaching behaviors (14) were used in each lesson. This typically included two behaviors for teaching character recognition and four behaviors each for teaching pronunciation, meaning, and writing of characters. Congruently, 6.32, 5.83, 5.49, and 3.78min per lessons were used to teach character pronunciation, writing, meaning, and recognition, respectively. Character instruction in these lessons was coherently and logically designed, but all live interactions between teachers and students were teacher directed. Directions for future research are presented and implications for practice discussed.

CCFont: Component-Based Chinese Font Generation Model Using Generative Adversarial Networks (GANs)

Font generation using deep learning has made considerable progress using image style transfer, but the automatic conversion/generation of Chinese characters still remains a difficult task owing to the complex character shape and large number of Chinese characters. Most known Chinese character generation models use the image conversion method of the Chinese character shape itself; however, it is difficult to reproduce complex Chinese characters. Recent methods have utilized character compositionality by separating up to three or four components to improve the quality of generated characters, but it is still difficult to generate high-quality results for complex Chinese characters with many components. In this study, we proposed the CCFont model (component-based Chinese font generation model using generative adversarial networks (GANs)) that automatically generates all Chinese characters using Chinese character components (up to 17 components). The CCFont model generates all Chinese characters in various styles using the components of Chinese characters based on conditional GAN. By acquiring local style information from the components, the information is more accurate and there is less information loss than when global information is obtained from the image of the entire character, reducing the failure of style conversion and improving quality to produce high-quality results. Additionally, the CCFont model generates high-quality results without any additional training (zero-shot font generation without any additional training) for the first-seen characters and styles. For example, the CCFont model, which was trained with only traditional Chinese (TC) characters, generates high-quality results for languages that can be divided into components, such as Korean and Thai, as well as simplified Chinese (SC) characters that are only seen during inference. CCFont can be adopted as a multi-lingual font-generation model that can be applied to all languages, which can be divided into components. To the best of our knowledge, the proposed method is the first to generate a zero-shot multilingual generation model using components. Qualitative and quantitative experiments were conducted to demonstrate the effectiveness of the proposed method.

CCLOWW: A grade-level Chinese children's lexicon of written words.

In this article, we present the Chinese Children's Lexicon of Written Words (CCLOWW), the first grade-level database that provides frequency statistics of simplified Chinese characters and words for children. The database computes from a corpus of 34,671,424 character tokens and 22,427,010 word tokens (including single- and multicharacter words), extracted from 2131 books. It contains 6746 different character types and 153,079 different word types. CCLOWW provides several frequency indices of simplified Chinese for three grade levels (grade 2 and below, grades 3-4, grades 5-6) to profile children's experience with written Chinese in and outside of school. We describe in this article the distributions of frequency and contextual diversity of the characters and words, as well as word length and syntactic categories of the words in the corpus and the subcorpora. We also report results of correlation analyses with other written corpora and of several naming and lexicon decision experiments. The findings suggest that CCLOWW frequency measures correlate well with other corpora. Importantly, they could reliably predict children's and adults' naming and lexical decision performances. They could also explain variance in adults' visual word recognition, in addition to frequency measures computed in an adult corpus, indicating that early print exposure might influence readers' lexical processing later on beyond an age of acquisition effect. CCLOWW will help researchers in language processing and development as well as educators with selecting language materials appropriate for children's developmental stages. The database is freely available online at https://www.learn2read.cn/database/ .

Orthographic Processing of Developmental Dyslexic Children in China: Evidence from an Event-Related Potential Study.

This study aimed to explore the orthographic processing of simplified Chinese characters in developmental dyslexic children in Kashgar, Xinjiang, China, and provide a theoretical basis for intervention strategies for developmental dyslexia in Chinese. Using event-related potential (ERP) measures, 18 developmental dyslexic children and 23 typically developing children performed a character decision task with three types of stimuli: real characters (RCs), pseudocharacters (PCs), and noncharacters (NCs). Behavioral results showed that the control children displayed a faster and higher accurate performance than the dyslexic children across PCs and NCs. ERP data revealed that the RCs and PCs elicited a stronger P200 than the NCs. Compared with the RCs and NCs, children in the control group showed more N400 negatives for PCs. It is worth mentioning that dyslexic children did not show any difference on N400, which reflected the insufficient orthographic processing of dyslexic children in China. These results show that Chinese dyslexic children had orthographic processing defects.

The Evolution of Rumors on a Closed Social Networking Platform During COVID-19: Algorithm Development and Content Study.

BackgroundIn 2020, the COVID-19 pandemic put the world in a crisis regarding both physical and psychological health. Simultaneously, a myriad of unverified information flowed on social media and online outlets. The situation was so severe that the World Health Organization identified it as an infodemic in February 2020.ObjectiveThe aim of this study was to examine the propagation patterns and textual transformation of COVID-19–related rumors on a closed social media platform.MethodsWe obtained a data set of suspicious text messages collected on Taiwan’s most popular instant messaging platform, LINE, between January and July 2020. We proposed a classification-based clustering algorithm that could efficiently cluster messages into groups, with each group representing a rumor. For ease of understanding, a group is referred to as a “rumor group.” Messages in a rumor group could be identical or could have limited textual differences between them. Therefore, each message in a rumor group is a form of the rumor.ResultsA total of 936 rumor groups with at least 10 messages each were discovered among 114,124 text messages collected from LINE. Among 936 rumors, 396 (42.3%) were related to COVID-19. Of the 396 COVID-19–related rumors, 134 (33.8%) had been fact-checked by the International Fact-Checking Network–certified agencies in Taiwan and determined to be false or misleading. By studying the prevalence of simplified Chinese characters or phrases in the messages that originated in China, we found that COVID-19–related messages, compared to non–COVID-19–related messages, were more likely to have been written by non-Taiwanese users. The association was statistically significant, with P<.001, as determined by the chi-square independence test. The qualitative investigations of the three most popular COVID-19 rumors revealed that key authoritative figures, mostly medical personnel, were often misquoted in the messages. In addition, these rumors resurfaced multiple times after being fact-checked, usually preceded by major societal events or textual transformations.ConclusionsTo fight the infodemic, it is crucial that we first understand why and how a rumor becomes popular. While social media has given rise to an unprecedented number of unverified rumors, it also provides a unique opportunity for us to study the propagation of rumors and their interactions with society. Therefore, we must put more effort into these areas.

Objective ages of acquisition for 3300+ simplified Chinese characters.

We report the construction of two age-of-acquisition (AoA) norms for 3300+ characters in simplified Chinese, which make up about 99% of the texts used in daily life. We determined a character's AoA according to the time in which the character is formally learned in two sets of leading textbooks of Chinese in compulsory education, published respectively on the basis of the 2001 and 2011 national curriculum. Apart from having a significantly larger coverage of characters than previous norms, the current norms also outperformed them in explaining accuracy and reaction times in four large-scale databases for character decision, character naming, or character handwriting, even after controlling for the effects of frequency, number of meanings, and number of strokes. The explanatory advantage of the current norms suggests that, compared to earlier norms, the current norms capture more up-to-date character AoAs; these findings also highlight the diachronic nature of some lexical variables such as AoA and frequency. The developed objective AoA norms can be used for subsequent research on Chinese character recognition or production.

MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices

Majority of Chinese characters are pictographic characters with strong associative ability and when a character appears for Chinese readers, they usually associate with the objects, or actions related to the character immediately. Having this background, we propose a system to visualize the simplified Chinese characters, so that developing any skills of either reading or writing Chinese characters is not necessary. Considering the extensive use and application of mobile devices, automatic identification of Chinese characters and display of associative images are made possible in smart devices to facilitate quick overview of a Chinese text. This work is of practical significance considering the research and development of real-time Chinese text recognition, display of associative images and for such users who would like to visualize the text with only images. The proposed Chinese character recognition system and visualization tool is named as MyOcrTool and developed for Android platform. The application recognizes the Chinese characters through OCR engine, and uses the internal voice playback interface to realize the audio functions and display the visual images of Chinese characters in real-time.

On the tip of the pen: Effects of character-level lexical variables and handwriter-level individual differences on orthographic retrieval difficulties in Chinese handwriting.

In the past few decades, Chinese speakers have suffered from difficulties in handwriting, which include tip-of-the-pen (TOP) states (knowing a character but failing to fully handwrite it) and character amnesia in general (a general inability to handwrite a character despite being able to recognise it). The current study presents a systematic empirical investigation of the effects of character-level lexical characteristics and handwriter-level individual differences on TOP, character amnesia, and partial orthographic access in TOP states. Using a spelling-to-dictation task, we had 64 participants to handwrite 200 simplified Chinese characters. We showed that, at the lexical level, participants experienced more TOP and character amnesia in handwriting if a character was less frequent, was acquired later in life, was embedded in a less familiar word, or had more strokes; TOP but not character amnesia was additionally affected by phonetic radical order and spelling regularity. At the handwriter level, people also experienced more TOP and character amnesia if they had more digital exposure, less pen exposure, or less print exposure. In a TOP state, partial orthographic access was more likely if a character was acquired later in life, had fewer strokes, or had a left-right or top-down composition or, if a handwriter had less digital exposure.

Effects of the Font Size and Line Spacing of Simplified Chinese Characters on Smartphone Readability

Abstract In this study, we explored the effects that the font size and line spacing of simplified Chinese characters had on their readability on smartphones. One hundred and fifteen participants were recruited to complete Chinese text comprehension tasks and provide user preferences on a 5.9-inch smartphone. Nine test conditions were studied, consisting of three font sizes (10-, 12- and 14-point) and three line spacing variations (1.25-F, 1.5-F and 2-F). The results showed that both font size and line spacing significantly affect reading time, but only font size significantly affects reading accuracy; font size, line spacing and the interaction between them have significant effects on the difficulty of reading and the degree of visual fatigue. Medium and large font sizes are more comfortable to read with large line spacing, while small and medium font sizes are more attractive with large line spacing. The results provide useful information for mobile text interface design.

ERP evidence for asymmetric orthographic transfer between traditional and simplified Chinese.

Transferring orthographic processing skills from one language to new languages is important for language learning. However, the specific orthography hypothesis and condition-based transfer hypothesis have debated orthographic transfer. No study has ever examined these debates in a logographic language, and the neural correlates of orthographic transfer in a logographic language remain unknown. Therefore, the present study uses event-related potentials to examine orthographic transfer with Hong Kong (Experiment 1) and mainland China (Experiment 2) participants who only use traditional or simplified Chinese, respectively. The participants sequentially read two of the same (repetition) or different (nonrepetition) traditional or simplified Chinese characters and judged whether they were identical. The results showed that the orthography-related N200 component was smaller in the repetition condition than in the nonrepetition condition. Importantly, for traditional Chinses users, this effect was more salient in traditional Chinese than in simplified Chinese, suggesting limited transfer from traditional to simplified Chinese. For simplified Chinese users, this effect was comparable in traditional and simplified Chinese, suggesting a smooth transfer from simplified to traditional Chinese. The results supported the condition-based transfer hypothesis, and showed asymmetric transfer between simple orthographic rules and complex ones. That is, simple orthographic rules can be transferred to complex ones smoothly, but not vice versa.

Identity performance and language policing in Hong Kong’s media

This study reports on our examination of local Chinese residents’ identity performance and language policing in Hong Kong’s media. In the study, we explored how local Chinese residents police the use of written Chinese in a context where the clash between traditional Chinese characters (associated with Hong Kong) and simplified Chinese characters (associated with mainland China) has been increasingly documented in the media. To examine local Chinese residents’ identity performance in language policing incidents, we identified shared social categories from 1311 news articles, comments, and postings online during the years from 2015 to 2019 for analysis. The analysis revealed that antagonism and social categories were presumed and reproduced by those whose participation in language policing incidents against the use of simplified Chinese characters reflects their identity performance. The findings enrich our understanding of how individuals exercise agency in resisting language policies from above, and undertake identity-related performance in language policing to achieve the policy outcomes that they desire to have.

The Reliability and Validity of an Assessment Tool for Developmental Dyslexia in Chinese Children

Developmental dyslexia (DD) is a common neurobehavioral disorder in children. It refers to the phenomenon in which children with normal intelligence lag significantly behind their peers in reading ability. In China, there is no unified standard for the assessment of dyslexia due to the use of simplified and traditional Chinese characters in different regions. This study was aimed at analyzing the reliability and validity of the self-developed Chinese dyslexia assessment tool named Chinese Reading Ability Test (CRAT), which was suitable for students of grade 3 to 5 in primary school. We randomly selected three primary schools in Shantou city of China, including two in the central district and one in the surrounding district. A total of 1492 students of grades 3 through 5 were recruited. We assessed the reliability of CRAT by test–retest reliability and internal consistency. The validity assessment was realized by discriminant validity, content validity and confirmatory factor analysis (CFA). For reliability, the test–retest correlation coefficient of the total score of the CRAT was 0.671. The difference between the test–retest was not statistically significant. The Cronbach’s alpha coefficient of the CRAT was 0.75. For validity, the correlation coefficient between the score of each subscale and the total score of the scale ranged from 0.29 to 0.73. The indexes of the three structural equation models all meet the standard (p > 0.05, χ2/df < 2.00, RMSEA < 0.05, GFI > 0.90, AGFI > 0.90, NFI > 0.90, CFI > 0.90 and IFI > 0.90). The fitting effects of the models were good. The CRAT has sufficient reliability and validity which could be used for the assessment and auxiliary diagnosis of Chinese Dyslexia in primary school students of grade 3 to 5.

The Background That the Chinese Characters Were Simplified

On the surface, the simplification of Chinese characters was to eliminate illiteracy, improve the efficiency of writing and realize the alphabetization of Chinese characters. But in fact, it was the personal will of the leader that determined. One of the theoretical bases of simplification was the simplified law in the evolution of Chinese characters which was deliberately exaggerated, and the second was the three-stage theory of writing development which was accepted by many people. Over the past 60 years, many defects of simplified Chinese characters have been revealed. It seems that the alphabetization of Chinese characters has failed completely, and our higher education is about to enter the stage of popularization. For these two aspects alone, the rationale for simplifying Chinese characters has been lost. Moreover, the simplified Chinese character was only to be used as a transitional stage of the conversion to alphabetic writing, and there was no intention to use it for a long time. Therefore, the historical mission of simplified characters has been completed, and it is time for simplified characters to withdraw from the stage of history.