Academic literature on the topic 'Chinese characters'

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Journal articles on the topic "Chinese characters"

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ZANG, Kehe. "Chinese Characters, the Science of Chinese Characters, Subject of Chinese Characters." International Journal of Chinese Character Studies 1, no. 2 (December 30, 2015): 55–74. http://dx.doi.org/10.18369/waccs.2015.1.55.

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Niu, Yunbo. "A Review and Prospects of Chinese Character Research in the Last Thirty Years." SHS Web of Conferences 167 (2023): 02019. http://dx.doi.org/10.1051/shsconf/202316702019.

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At this stage, the study of Chinese characters is undergoing a transformation of modern applications and technology, and research in this field is both deeply rooted in the traditional Chinese study of script and flourishing with new vitality. This paper analyses the five major components of Chinese character research, namely, the study of archaic characters, the study of the phonology, morphology and meaning of Chinese characters, the study of the application of Chinese characters in the computer field, the study of the cognitive processing of Chinese characters, and the study of Chinese character teaching, and the three methods of Chinese character research, namely, exegetical examination, corpus database and empirical research methods. This paper summarizes the literature on Chinese character research, analyses the trends in Chinese character research, and summarizes the review and outlook of Chinese character research in the past thirty years.
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KWAK, HYUN SUK. "A Study on the Moral Characteristics of Chinese Characters Marked as “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān)." Society for Chinese Humanities in Korea 86 (April 30, 2024): 37–57. http://dx.doi.org/10.35955/jch.2024.04.86.37.

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The Han 漢鮮文新玉篇(HànXiānWénXīnYùPiān) was an attempt to compile an autobiography suitable for the times by examining newly created new Chinese characters, Japanese characters, and Chinese characters among the autobiographies compiled in the modern period, you can see Chinese characters with the notation of “華[Hua]” in the Chinese commentary of 漢鮮文新玉篇(HànXiānWénXīnYùPiān). The Chinese characters with this sign are said to be 'Chinese characters (language)' used in China, it is necessary to examine whether this is really a Chinese character used in China, and if so, what its properties are. herefore, as part of a study to identify the properties of Chinese characters marked as “華[Hua]”, this paper intends to extract data from Chinese characters marked as “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān), in addition, the morphological characteristics of the Chinese characters marked “華[Hua]” were considered. The results are as follows. First, there are a total of 90 Chinese characters written as “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān). Among them, there are a total of 35 Chinese characters that can be found in old records but are explained by replacing them with other letters. These Chinese characters showed structural differences such as differences in strokes, differences in one-sidedness, and use of other letters. All of these were divided into cases where the subject was a 俗字 and the case where the subject was a 俗字 character because of the transfer between letters, and the subject was taken with the representativeness of the time centered on the 俗字 character. Second, in the Chinese annotation of Chinese characters with the notation of “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān), the form and word order of Chinese characters in which Chinese characters exist could be divided into five categories: (1) simple row type/order relationship type/parallel relationship type, (2) predicate-object structure/subject-order structure type, (3) predicate-bore structure type, (4) formal relationship type, and (5) other types. Third, it is a Chinese character that does not exist in the Chinese annotation of Chinese characters with the notation of “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān). At that time, the font and meaning exist in Korea, but the meaning of the Chinese character marked “華[Hua]” is mainly used in China.
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Chua, Hui Wen, Hui Ling Lee, Suhaida Omar, Mahama Tohleheng, and Siao Mei Chin. "Malaysian Non-native Chinese Students' Challenges and Learning Strategies in Chinese Characters Learning." EDUCATUM Journal of Social Sciences 8, no. 1 (June 29, 2022): 67–82. http://dx.doi.org/10.37134/ejoss.vol8.1.7.2022.

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This study investigates the challenges faced by non-native Chinese learners in learning Chinese characters and their learning strategies. This research applied quantitative research, where the questionnaire was delivered at the end of the semester to 370 students of Mandarin level two, selected through convenience sampling. The descriptive analysis showed that most of the students stated that being literate in Chinese characters and learning many Chinese characters was the most challenging act while corresponding between characters and their pronunciations was the least challenging. Next, the students listed repetitively memorising Chinese characters as the preferred learning strategy, followed by imitating each stroke of a Chinese character and picturing what Chinese characters look like in their minds. The finding of this study contradicts other research studies since the students in this study did not perceive the "lack of correspondence between characters and their pronunciation in Chinese character learning" as the main challenge since they only learned 105 Chinese characters for two semesters. Nonetheless, this study also supports similar research on learning strategies in that students have difficulty learning Chinese characters as there are too many characters, too many pronunciations, and too many strokes. Hence, they repeatedly imitate and memorise the characters as learning strategies. Thus, memory strategies and graphic strategies are the main learning strategies to help learners cope with learning Chinese characters. For future study, it is recommended to find out whether there is any correlation between the challenges for non-native Chinese learners and the learning strategies they apply, which will give teachers an idea of how to improve their teaching to support learners’ learning strategies to boost their Chinese character learning.
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Kim, Byoung-ju. "A Study on the Chinese Character Education Method for Beginners in Chinese Character: Focused on the Strokes of Chinese characters." Korean Society of Calligraphy 44 (March 30, 2024): 193–216. http://dx.doi.org/10.19077/tsoc.2023.44.7.

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The purpose of this article was to explore new ways of teaching Chinese characters based on the cognitive patterns that learners have in advance. To this end, we identified the cognitive patterns of beginners who first encountered Chinese characters and presented teaching Chinese character and contents to suit their cognitive styles. The learning habits of most beginners who first encountered Chinese characters is familiar with the learning habits of acquiring Hangeul and English. It is very difficult to expand the learning habits by adjusting the existing learning habits. Based on these points, the school devised a way to start Chinese character education in the existing learning habits framework. The method is to start Chinese character education by using strokes. The stroke can serve as the alphabet of Hangeul and the alphabet of English, making it a material for learners to easily access Chinese characters with a priori learning habits. In this article, the author suggested that strokes be classified into 20 categories and each stroke should be named and used for teaching Chinese character. It is important to determine the learner's step-by-step learning according to the curriculum of education. It could be a way of teaching Chinese characters to teach them first when they first start Chinese characters. Still, strokes education is still unfamiliar as an educational method for Chinese characters. However, we hope that it will be a way for beginners who are new to Chinese characters to gain easier access to learning them.
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Kim, Byoung-ju. "A Study on the Chinese Character Education Method for Beginners in Chinese Character: Focused on the Strokes of Chinese characters." Korean Society of Calligraphy 44 (March 30, 2024): 193–216. http://dx.doi.org/10.19077/tsoc.2024.44.7.

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The purpose of this article was to explore new ways of teaching Chinese characters based on the cognitive patterns that learners have in advance. To this end, we identified the cognitive patterns of beginners who first encountered Chinese characters and presented teaching Chinese character and contents to suit their cognitive styles. The learning habits of most beginners who first encountered Chinese characters is familiar with the learning habits of acquiring Hangeul and English. It is very difficult to expand the learning habits by adjusting the existing learning habits. Based on these points, the school devised a way to start Chinese character education in the existing learning habits framework. The method is to start Chinese character education by using strokes. The stroke can serve as the alphabet of Hangeul and the alphabet of English, making it a material for learners to easily access Chinese characters with a priori learning habits. In this article, the author suggested that strokes be classified into 20 categories and each stroke should be named and used for teaching Chinese character. It is important to determine the learner's step-by-step learning according to the curriculum of education. It could be a way of teaching Chinese characters to teach them first when they first start Chinese characters. Still, strokes education is still unfamiliar as an educational method for Chinese characters. However, we hope that it will be a way for beginners who are new to Chinese characters to gain easier access to learning them.
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Huynh, Duc Du. "Ancient Vietnamese scholars’ views on Chinese characters." Journal of Chinese Writing Systems 7, no. 1 (March 2023): 22–34. http://dx.doi.org/10.1177/25138502221147951.

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Based on the preface and postscript in Vietnamese Chinese dictionaries and related documents, this article comprehensively compares the similarities and differences between the ancient Chinese and Vietnamese views of Chinese characters from the perspectives of the origin of Chinese characters, the introduction of Chinese characters, the relationship between Chinese characters and Nom characters, the survival and development of Chinese characters, the variation of Chinese character forms, and the morphological and phonological values of Chinese characters. It summarizes the inheritance and variation of Chinese characters in Vietnam, and attempts to provide a new perspective for studies related to the history of the development of Vietnamese Chinese characters and the history of the spread of Chinese characters.
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Rai, Laxmisha, and Hong Li. "MyOcrTool: Visualization System for Generating Associative Images of Chinese Characters in Smart Devices." Complexity 2021 (May 7, 2021): 1–14. http://dx.doi.org/10.1155/2021/5583287.

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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.
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CHENG, FANG-HSUAN, and WEN-HSING HSU. "RESEARCH ON CHINESE OCR IN TAIWAN." International Journal of Pattern Recognition and Artificial Intelligence 05, no. 01n02 (June 1991): 139–64. http://dx.doi.org/10.1142/s0218001491000107.

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This paper describes typical research on Chinese optical character recognition in Taiwan. Chinese characters can be represented by a set of basic line segments called strokes. Several approaches to the recognition of handwritten Chinese characters by stroke analysis are described here. A typical optical character recognition (OCR) system consists of four main parts: image preprocessing, feature extraction, radical extraction and matching. Image preprocessing is used to provide the suitable format for data processing. Feature extraction is used to extract stable features from the Chinese character. Radical extraction is used to decompose the Chinese character into radicals. Finally, matching is used to recognize the Chinese character. The reasons for using strokes as the features for Chinese character recognition are the following. First, all Chinese characters can be represented by a combination of strokes. Second, the algorithms developed under the concept of strokes do not have to be modified when the number of characters increases. Therefore, the algorithms described in this paper are suitable for recognizing large sets of Chinese characters.
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WANG, YING, and CATHERINE MCBRIDE. "Character reading and word reading in Chinese: Unique correlates for Chinese kindergarteners." Applied Psycholinguistics 37, no. 2 (April 8, 2015): 371–86. http://dx.doi.org/10.1017/s014271641500003x.

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ABSTRACTWe considered the extent to which learning to read Chinese characters and Chinese words (operationally defined as composed of two or more characters) are different in the present study. Study 1 compared reading of the same characters in isolation and those in the context of known words for 63 Chinese third-year kindergarteners. Results showed that children performed significantly better on reading the same characters when embedded within words than when alone. Study 2 further examined the correlates of single-character reading and two-character word reading for 142 Chinese third-year kindergarteners. Despite a high correlation between character reading and word reading, unique correlates emerged. Orthographic awareness, rapid automatized naming, and Pinyin letter-name knowledge independently explained variance in both character and word reading; however, orthographic awareness explained unique variance in character reading even after statistically controlling for word reading. Whereas orthographic and Pinyin knowledge may be more strongly associated with character recognition, other skills may be more important for learning to read words. Character and word reading may constitute slightly different processes, with somewhat different educational implications for each.
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Dissertations / Theses on the topic "Chinese characters"

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Yu, Xiao Ping. "Chinese Character Challenger : supplementary courseware for assisting students learning Chinese characters /." Link to the online version, 2005. http://hdl.handle.net/10019/1326.

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Yang, Wan Chi (Ada Yang). "The enlightened Chinese characters : a cognitive approach of computer assisted Chinese character learning." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/2428.

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Thesis (MPhil (Modern Foreign Languages))--University of Stellenbosch, 2006.
With continuing advances in technology, computer-assisted instruction provides opportunities for individualized, interactive learning. In the research paper, I employed the theoretical framework of CALL and the philosophy of cognitive psychhology to promote learner autonomy in the second language aquisition of Chinese...
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Yao, Michelle. "How English speakers learn Chinese characters." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31601790.

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Cheung, Po-chu. "Teaching and evaluation of Intensive Characters Recognition Learning Program of S.1 band-5 students in Hong Kong Xianggang di wu zu bie xue xiao zhong yi xue sheng ji zhong shi zi jiao xue ji ping gu /." Click to view the E-thesis via HKUTO, 1998. http://sunzi.lib.hku.hk/hkuto/record/B31960054.

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Leung, Cheung-hoi. "Computer recognition of handprinted Chinese characters /." [Hong Kong : University of Hong Kong], 1986. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12322131.

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Yao, Michelle, and 姚君霓. "How English speakers learn Chinese characters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31601790.

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Yu, Xiao Ping (Amy). "CHINESE CHARACTER CHALLENGER 汉 字 挑 战 者 Supplementary courseware for assisting students learning Chinese characters." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2680.

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Thesis (MPhil (Modern Foreign Languages))--University of Stellenbosch, 2005.
In this thesis, I pinpoint the challenge of character learning as my research problem, which is the subsequent motivation to explain the background and rationale of my research. I also discuss the theoretical concepts of Computer Assisted Language Learning (CALL) in relation to cognitive psychology, the constructivist learning theory and Second Language Acquisition theories. This leads to the presentation of my considerations regarding design principles, strategic approach and other relevant decisions. The multimedia project I designed, named the “Chinese Character Challenger”, a “supplementary courseware for assisting students learning characters”, is an informational and educational-oriented website. It provides learners with the necessary knowledge, hints, tips and sources to cope with their specific learning problems and to achieve their learning potential. It also introduces external resources of learning if learners need further research. The purpose of the website is to assist, to motivate and to further guide students’ learning. To conclude, I have discussed some open issues with regards to adding value in the learning environment.
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林依民 and Yi-min Lin. "Computer recognition of printed Chinese characters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31209919.

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梁祥海 and Cheung-hoi Leung. "Computer recognition of handprinted Chinese characters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1986. http://hub.hku.hk/bib/B31230660.

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Lam, Ho-cheong. "Orthographic awareness in learning Chinese characters." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3762734X.

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Books on the topic "Chinese characters"

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Zhao, Shouhui, and Richard B. Baldauf. Planning Chinese Characters. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-48576-8.

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Cheng, Pei-Hsin. Practical Chinese characters. Cypress, Calif: P.H. Chinese Language Arts and Cultural Center, 1986.

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1973-, Zhāng Yǔhúan, and Helme Michael, eds. Chinese medical characters. Brookline, Mass: Paradigm Publications, 2005.

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Gu, Li-cheng. Picture characters: Learning Chinese characters through pictographs. South San Francisco, Calif: China Books, 2006.

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Lee, Philip Yungkin. 250 Essential Chinese Characters. Tokyo: Tuttle Publishing, 2009.

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Huoping, Chen, ed. Fun with Chinese characters. Singapore: Federal Publications, 1987.

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Fujii, Tomoko. Kanjion =: Pronunciations of Chinese characters. Tōkyō: Asahi Shuppansha, 1986.

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Suchenwirth, Richard, Jun Guo, Irmfried Hartmann, Georg Hincha, Manfred Krause, and Zheng Zhang. Optical Recognition of Chinese Characters. Wiesbaden: Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-663-13999-7.

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Shah, Angilee, and Jeffrey N. Wasserstrom, eds. Chinese Characters. University of California Press, 2012. http://dx.doi.org/10.1525/9780520954137.

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Winslett, Justin T. Chinese Characters. Arcturus Publishing, 2023.

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Book chapters on the topic "Chinese characters"

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Peng, Yu. "Chinese Characters." In Thirty Great Inventions of China, 63–97. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6525-0_5.

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Tonietti, Tito M. "In Chinese Characters." In And Yet It Is Heard, 97–168. Basel: Springer Basel, 2014. http://dx.doi.org/10.1007/978-3-0348-0672-5_3.

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Li, Yu. "Simplification of Chinese characters." In The Chinese Writing System in Asia, 136–48. Abingdon, Oxon: New York, NY: Routledge, 2020. |: Routledge, 2019. http://dx.doi.org/10.4324/9780429345333-15.

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Li, Yu. "Chinese characters in Asia." In The Chinese Writing System in Asia, 64–76. Abingdon, Oxon: New York, NY: Routledge, 2020. |: Routledge, 2019. http://dx.doi.org/10.4324/9780429345333-9.

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"Chinese Characters." In Famine Relief in Warlord China, 261–68. Harvard University Asia Center, 2019. http://dx.doi.org/10.2307/j.ctvrs907n.20.

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"Chinese Characters." In Fishing Wars and Environmental Change in Late Imperial and Modern China, 195–203. BRILL, 2009. http://dx.doi.org/10.1163/9781684174980_010.

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"CHINESE CHARACTERS." In Goddess on the Frontier, 175–82. Stanford University Press, 2020. http://dx.doi.org/10.1515/9781503600454-010.

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"CHINESE CHARACTERS." In Tales of Futures Past, 169–74. Stanford University Press, 2020. http://dx.doi.org/10.1515/9780804791601-010.

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"Chinese characters." In Chinese Primer, Volumes 1-3 (GR), 1–130. Princeton University Press, 1994. http://dx.doi.org/10.1515/9780691229485-004.

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"Chinese Characters." In The Chinese Sultanate, 191–94. Stanford University Press, 2005. http://dx.doi.org/10.1515/9781503625211-013.

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Conference papers on the topic "Chinese characters"

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Chen, Jingye, Bin Li, and Xiangyang Xue. "Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/85.

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Chinese character recognition has attracted much research interest due to its wide applications. Although it has been studied for many years, some issues in this field have not been completely resolved yet, \textit{e.g.} the zero-shot problem. Previous character-based and radical-based methods have not fundamentally addressed the zero-shot problem since some characters or radicals in test sets may not appear in training sets under a data-hungry condition. Inspired by the fact that humans can generalize to know how to write characters unseen before if they have learned stroke orders of some characters, we propose a stroke-based method by decomposing each character into a sequence of strokes, which are the most basic units of Chinese characters. However, we observe that there is a one-to-many relationship between stroke sequences and Chinese characters. To tackle this challenge, we employ a matching-based strategy to transform the predicted stroke sequence to a specific character. We evaluate the proposed method on handwritten characters, printed artistic characters, and scene characters. The experimental results validate that the proposed method outperforms existing methods on both character zero-shot and radical zero-shot tasks. Moreover, the proposed method can be easily generalized to other languages whose characters can be decomposed into strokes.
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Wu, Duan, Peng Gao, Dongying Hu, Ran Xu, Yue Qi, and Yumeng Zhang. "The Relationship Between Simplified Chinese Character Height and Cognition Research in Signage Design." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001608.

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75% of our external information comes from vision, in signage and wayfinding system, characters and graphics have become the most important factor of information cognition. As the main characters in China's signage and wayfinding system, simplified Chinese characters affect the rapid and accurate cognition of information. At present, most of the cognitive research on simplified Chinese characters are learned from the data of Japan and Taiwan. Compared with Latin alphabets, Japanese and Chinese characters are much similar, but there are still significant differences between them. Japanese is a combination of Chinese characters and Kanas, the fonts and the layout of characters are very different. The traditional Chinese characters used in Taiwan are much more complicated than the simplified ones used in mainland China. In order to obtain the data that can really guide the standards of signage design in China, this research carried out a series of experimental studies on simplified Chinese characters’ recognition. Under the condition of fixed font, font weight, color, similar stroke number and character frequency range, the experiment obtained the data of characters’ height and recognition distance by changing characters’ height and recording the corresponding visual recognition reaction time. Then, based on the method of regression analysis, the relationship between the two variables of character height and recognition distance is calculated and visualized. Through indoor simulation and supplementary experiments, the data and conclusions could guide or verify the existing ergonomics data and signage design standard. The research outcome shows the relationship between simplified Chinese character height and cognition distance of on public signage system, which provides a theoretical basis for the related research and design. The results also revealed that with the use of Sans Serif typeface,the minimum of character height in the current design standard can be further increased. This research is still in early stage, in addition to the character height, the influence of stroke number, thickness and background colour contrast of characters still need to be further studied.
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Xin, Cai. "Chinese Characters Factory - Design of children's Chinese character construction enlightenment game based on augmented reality technology." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002067.

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China's "13th Five-Year Plan" points out that the development of the industry should adapt to the development trend of multi-media technology. Nowadays, augmented reality and virtual reality technologies have gradually penetrated into our daily life and have had a significant impact in many aspects. Since ancient times, there have been many important educational ideas in China. With the development of the Internet, there is a particular focus on the importance of Chinese characters. In recent years, the application of AR design and related research in various fields of children's education has also developed rapidly, at the same time, the unique interactive, immersive and imaginative characteristics of AR technology have greatly improved the enthusiasm and initiative of learning because they conform to children's figurative thinking. Therefore, in this environment, it is meaningful to explore how to effectively create a sought after AR children's Chinese character construction enlightenment game.【Methods】: This paper introduces augmented reality technology into the field of children's Chinese character education through technical research to create a design method of virtual-real interaction.This paper discovers the characteristics of children's language education, as well as the Chinese character root method through theoretical research, and finds the fit in children's cognitive development and the character root method. The author attempts to design a suitable set of diagrams to tap into the similarities between word-making thinking and product thinking.This paper finds the AR teaching format through market research. It weakens the one-way indoctrination process of product knowledge information and gives play to children's subjective initiative. The content is intuitive and can be used to perceive information through visual, tactile and auditory senses in a comprehensive manner.【Result】: “Chinese Characters Factory” is developed based on the Unity 3D, with ARkit as an augmented reality technology solution, run on the IOS platform. Users have access to game experience with iPad. The whole design practice is divided into three systems: Chinese character experiment system, mapping collection system and entertainment interactive system. The Chinese Character Experiment System was inspired by chemical experiments. Chinese characters are formed by the combination of character roots and graphemes with corresponding character formation methods. It identifies the Chinese character card images in the physical environment according to the image tracking technology of ARkit, being able to superpose Chinese character models. In addition, mapping collection system and entertainment interactive system are used to solve children's Chinese character literacy, novel and entertaining growth education.【Conclusion】: Children's educational products with augmented reality technology are important and innovative for the development of children's minds. It is highly interactive and rich in teaching content presentation, so it can mobilize children's all-round perception of information, which greatly stimulates children's learning interest in the learning process and brings a brand-new experience to teaching.Based on the characteristics of Chinese characters, "Chinese character Factory" is a Chinese character AR game that fits the characteristics of language education and the cognitive development of preschool children. It applies the advantages of augmented reality technology to help children learn and memorize Chinese characters in a gamified way by experimenting with synthetic Chinese characters, bringing children a vivid and interesting Chinese character learning experience. At the same time, "Chinese character test" is ready to be put on the App store.At present, the application of educational products based on augmented reality technology on the market is still in the primary stage. In the future, we still need to explore the application of augmented reality technology in education.
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Wang, Weigang, Xinyue Wang, and ChengQi Xue. "Aesthetics Evaluation Method of Chinese Characters based on Region Segmentation and Pixel Calculation." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002877.

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With the increasing demand for using and the great enrichment of Chinese fonts, how to quickly evaluate the beauty of fonts has become an important issue in the current design. However, Chinese characters are difficult to judge and quantify, and have strong aesthetic subjectivity. At the same time, the evaluation of Chinese characters is abstract, which is difficult to meet the application needs of today's rapid font design and evaluation.Based on the attributes and aesthetic characteristics of Chinese characters, this paper calculate and verify the beauty of Chinese characters. According to the traditional Chinese character aesthetic evaluation index - balance and stability, this paper evaluates the Chinese character font. First, the Chinese characters are placed in a 600*600 pixel rectangular box and divided into 25 small 120*120 pixel rectangular boxes to realize the quintuple segmentation of Chinese characters. Secondly, the left-right and up-down balance degree, left-right balance degree, stability degree and their corresponding pixel calculation methods are proposed as the indicators to evaluate the beauty of modern Chinese characters. According to the calculation method proposed in this paper, the five Chinese characters of the two fonts are selected to calculate their left-right balance index, upper-lower balance index and stability respectively, and calculate the average value as the beauty of the font. In addition, subjective evaluation experiments are conducted to verify whether the calculation method can reflect the user's subjective feelings.In the discussion, the possible future directions are put forward and given.
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Sun, Danyang, Tongzheng Ren, Chongxuan Li, Hang Su, and Jun Zhu. "Learning to Write Stylized Chinese Characters by Reading a Handful of Examples." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/128.

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Automatically writing stylized characters is an attractive yet challenging task, especially for Chinese characters with complex shapes and structures. Most current methods are restricted to generate stylized characters already present in the training set, but required to retrain the model when generating characters of new styles. In this paper, we develop a novel framework of Style-Aware Variational Auto-Encoder (SA-VAE), which disentangles the content-relevant and style-relevant components of a Chinese character feature with a novel intercross pair-wise optimization method. In this case, our method can generate Chinese characters flexibly by reading a few examples. Experiments demonstrate that our method has a powerful one-shot/few-shot generalization ability by inferring the style representation, which is the first attempt to learn to write new-style Chinese characters by observing only one or a few examples.
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Simonova, E. V. "Chinese Readings of Characters in Japanese." In IV Международный научный форум "Наследие". SB RAS, 2023. http://dx.doi.org/10.25205/978-5-6049863-1-8-112-117.

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The article presents a brief overview of Chinese, or on’yomi, readings of hieroglyphs in Japanese. The process of borrowing and adapting Chinese readings of characters in Japan differed from Korea and Vietnam, where the character generally has one Chinese reading. A feature of Japanese hieroglyphics is the preservation of Chinese readings of hieroglyphs that came to the country at different times, from different places and sources. One hieroglyph can have three, and in some cases up to five different readings. Traditionally, there are three main groups of readings: goon, kan’on and to:on. In addition to them, there is kanyo:on, a reading based on a distorted or erroneous reading, which over time was fixed in the language. The fifth group of koon readings is recorded in written sourses, but is practically not used at present.
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Wan, Yan, Fengli Ren, Li Yao, and Youan Zhang. "Research on Scene Chinese Character Recognition Method Based on Similar Chinese Characters." In 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2020. http://dx.doi.org/10.1109/mlbdbi51377.2020.00097.

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Tian, Feng, Fei Lv, Jingtao Wang, Hongan Wang, Wencan Luo, Matthew Kam, Vidya Setlur, Guozhong Dai, and John Canny. "Let's play chinese characters." In the 28th international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1753326.1753565.

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Liang, Zhen, Qiang Fu, and Zheru Chi. "Eye typing of Chinese characters." In the Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2168556.2168604.

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Sheng, Jie. "The Nature of Chinese Characters." In proceedings of the 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.201215.436.

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Reports on the topic "Chinese characters"

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Wei, Y., Y. Zhang, J. Li, J. Ding, and Y. Jiang. ASCII Printable Characters-Based Chinese Character Encoding for Internet Messages. RFC Editor, August 1995. http://dx.doi.org/10.17487/rfc1842.

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Lee, F. HZ - A Data Format for Exchanging Files of Arbitrarily Mixed Chinese and ASCII characters. RFC Editor, August 1995. http://dx.doi.org/10.17487/rfc1843.

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Crispin, M. Chinese Character Encoding for Internet Messages. RFC Editor, March 1996. http://dx.doi.org/10.17487/rfc1922.

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Batliwala, Srilatha. Transformative Feminist Leadership: What It Is and Why It Matters. United Nations University International Institute of Global Health, December 2022. http://dx.doi.org/10.37941/rr/2022/2.

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The words of ancient Chinese philosopher Lao Tsu make the simplest, yet most profound, case for transformation – a change of direction, a fundamental shift in the nature or character of something, recasting the existing order and ways of doing things. This is what the world needs now, as institutions and systems of the past century prove unable to address the challenges of impending planetary disaster, persistent poverty, pandemics, rising fundamentalism and authoritarianism, wars, and everyday violence. Against a background of a worldwide backlash against women’s rights, gender parity in leadership positions – in legislatures, corporations, or civil society – has proved inadequate, as women in these roles often reproduce dominant patriarchal leadership models or propagate ideologies and policies that do not actually advance equality or universal human rights. What is required is truly transformative, visionary leadership, whereby new paradigms, relationships and structures are constructed on the basis of peace, planetary health, and social and economic justice.
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