Aesthetic evaluation and the perceived properties of Chinese characters. by Qinjing Zhang, Hiroyuki Mitsudo

“…To answer this question, we designed experiments in which users of Chinese characters were asked to rate the perceived symmetry, complexity, prototypicality, and beauty of Chinese characters. …”
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Filtering Approaches and Mish Activation Function Applied on Handwritten Chinese Character Recognition by Zhong Yingna, Kauthar Mohd Daud, Kohbalan Moorthy, Ain Najiha Mohamad Nor

“…Handwritten Chinese Characters (HCC) have recently received much attention as a global means of exchanging information and knowledge. …”
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Similar handwritten Chinese character recognition based on deep neural networks with big data by Zhao YANG, Da-peng TAO, Shu-ye ZHANG, Lian-wen JIN

Subjects: “…similar handwritten Chinese characters recognition…”
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A Multimedia Learning for Chinese Character Image Recognition via Human-Computer Interaction Network by Zhenhua Dai, Jie Yang

“…As science and technology continue to develop, Chinese character image recognition technology is being used in a wide range of fields. …”
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RF-AIRCGR: Lightweight Convolutional Neural Network-Based RFID Chinese Character Gesture Recognition Research by Yajun Zhang, Congcong Wang, Feng Li, Weiqian Yu, Yuankang Wang, Jingying Chen

“…The accuracy and robustness of the system in recognizing Chinese character gestures have been validated.…”
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Chu Calligraphy on Bamboo Slips. The Visual Evolution from Seal Script to Clerical Script and Its Artistic Value by Mansu Wang

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Automated crowdturfing attack in Chinese user reviews by Li’na WANG, Xiaodong GUO, Run WANG

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Adults with reading difficulties demonstrate selective impairments in the fine neural tuning for print by Tongjie Zhuang, Yaowen Li, Yufei Tan, Jiuju Wang, Xiuyue Yue, Licheng Xue, Jing Zhao, Jing Zhao

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The development and validation of a C-test and a pseudo-character test for online CFL assessment by Yang Xuan, Osborne Caitríona

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Deep learning Chinese input method with incremental vocabulary selection by Huajian REN, Xiulan HAO, Wenjing XU

“…The core task of an input method is to convert the keystroke sequences typed by users into Chinese character sequences.Input methods applying deep learning methods have advantages in learning long-range dependencies and solving data sparsity problems.However, the existing methods still have two shortcomings: the separation structure of pinyin slicing in conversion leads to error propagation, and the model is complicated to meet the demand for real-time performance of the input method.A deep-learning input method model incorporating incremental word selection methods was proposed to address these shortcomings.Various softmax optimization methods were compared.Experiments on People’s Daily data and Chinese Wikipedia data show that the model improves the conversion accuracy by 15% compared with the current state-of-the-art model, and the incremental vocabulary selection method makes the model 130 times faster without losing conversion accuracy.…”
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Research on Word Vector Training Method Based on Improved Skip-Gram Algorithm by Yachun Tang

“…In the training process, the random gradient descent method is used to solve the vector representation of each word and each Chinese character. The proposed training method is compared with skip gram, CWE+P, and SEING by using word sense similarity task and text classification task in the experiment. …”
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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities by Xing You

“…The data showed that the recognition accuracy of the ancient Chinese character recognition model designed by this research is significantly higher than the common methods in the market. …”
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A deep learning‐based attack on text CAPTCHAs by using object detection techniques by Jiawei Nian, Ping Wang, Haichang Gao, Xiaoyan Guo

“…The attack was also evaluated on four click‐based CAPTCHAs that cannot be attacked in the end‐to‐end manner used by previous attacks, and the results demonstrated that within one step, the proposed approach achieves high success rates on both click‐based CAPTCHAs and schemes based on large‐scale character sets, such as Chinese character sets.…”
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The Representation of Orientation Semantics in Visual Sensory Memory by Jingjing Hu, Xutao Zheng, Haokui Xu

“…Visual stimuli with orientation information (triangles, rectangles, and Chinese characters) and without orientation information (circles, squares, and different Chinese characters) were used as masks. …”
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Arabic and Roman numbers as part of Chinese semiotic system by L.L. Bankova

“…It was found that the use of Roman numbers in the Chinese language is extremely restricted: they only occur in official documents executed in accordance with the Western traditions and in some educational editions, which is due to the fact that the functions of Roman numerals are commonly carried out by the Chinese characters belonging to the traditional Heavenly Stems and Earthly Branches sets. …”
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Studies in Application of Linguistic Ontology Knowledge for Treatment of Dyslexia by Yanqing MA, Zhuoming CHEN, Jiajian YAN

“…Using ontology knowledge of linguistics and the characteristics of Chinese characters itself can effectively help the aphasia patients to overcome dyslexia.…”
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Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention by Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti

“…In this paper, we propose CPL-NER, which combines multiple feature information of Chinese characters as embedding to enhance the semantic representation by introducing pinyin and dictionary information. …”
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Text detection based on stroke features by WANG Wei-qiang1, FU Li-bo1, GAO Wen1, HUANG Qing-ming1, JIANG Shu-qiang1

“…A text detection method was presented based on support vector machine（SVM） using the statistics features characterizing character strokes.First,our method extracts stroke edges through a modified edge detector;then,candidate text regions are located by merging the regions that contain stroke edges;finally,a 32-dimensional feature is devised to reflect the unique spatial distribution of stroke edges,and the SVM is utilized to model and verify the candidate text re-gions.Our experiments on Chinese characters demonstrate the proposed stroke texture features have good distinction power,especially for text regions composed of many characters。…”
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Current Situation about Dispute of Bone Convergence by Zhuile WU, Zhen HE

“…Through consulting literature and analyzing theory of modern physicians, then summarying the viewpoints from application of ancient Chinese characters, meridian theory, clinical application, anatomical position and animal experiment, the results show that DU14 is more appropriate as a bone convergence acupoint. …”
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. …”
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