Character Features Research Articles

Improving Low-Resource Chinese Named Entity Recognition Using Bidirectional Encoder Representation from Transformers and Lexicon Adapter

Due to their individual advantages, the integration of lexicon information and pre-trained models like BERT has been widely adopted in Chinese sequence labeling tasks. However, given their high demand for training data, efforts have been made to enhance their performance in low-resource scenarios. Currently, certain specialized domains, such as agriculture, the industrial sector, and the metallurgical industry, suffer from a scarcity of data. Consequently, there is a dearth of effective models for entity relationship recognition when faced with limited data availability. Inspired by this, we constructed a suitable small balanced dataset and proposed a based-domain-NER model. Firstly, we construct a domain-specific dictionary based on mine hoist equipment and fault text and generate a dictionary tree to obtain word vector information. Secondly, we use a Lexicon Adapter to obtain the vector information of the domain-specific dictionary feature words matched using the characters and calculate the weights between their word vectors, integrating position encoding to enhance the positional information of the word vectors. Finally, we incorporate word vector information into the feature extraction layer to enhance the boundary information of domain entities and mitigate the semantic loss problem caused via using only character feature representation. Experimental results on a manually annotated dataset of mine hoist fault texts show that this method outperforms BiLSTM, BiLSTM-CRF, BERT, BERT-BiLSTM-CRF, and LEBERT, effectively improving the accuracy of named entity recognition (NER) for mine hoist faults.

Эмотивная компонента манипулятивных тактик (на материале русскоязычных текстов средств массовой информации)

The study aims to describe the pragmalinguistic features of the emotion-generating character of influencing texts in modern mass media. The scientific novelty of the paper is accounted for by carrying out a comprehensive psycho- and pragmalinguistic analysis of the nature of the emotivity category of modern media texts. As a result, it has been proved that the impact on the emotional sphere of an individual contributes to a significant increase in manipulative influence, provided that a set of emotemes focused on the recipient in specific communication conditions and realised by language markers and means of emotion expression is embedded in the content of the influencing text in accordance with the pragmatic intentions of its author.

THE SYSTEM OF MORAL-ETHIC VALUES IN UKRAINIAN NON-RITUAL LYRIC-EPIC FOLKLORE: THE RESPONSIBILITY CATEGORY

The article is devoted to the problem of responsibility in non-ritual lyric-epic folklore. The poetic macrosphere of lyric-epic folklore reflects the multifaceted spiritual universe of the Ukrainian ethnic group, mental peculiarities, features of the national character, historical aspects of social development, and various transformational processes. Forms of rational and irrational understanding of the world were revealed in the folklore text, which influenced the formation of a special sociocultural paradigm. In traditional non-ritual poetry, the world itself, in all its inexhaustibility of interpretations, appears as the center of an axiological system, an unchanging value in man's understanding of all that exists. The broad information content present in the texts of traditional culture contributes to the realization of communicative efficiency, which helps to socialize and differentiate between essential and non-essential. The poetic system of the lyric-epic song represents the features of the structuring of a complex anthropological model. In the collective memory, exceptional events were imprinted, which reveal the actualization in the folk consciousness of precisely the moments of the destructive nature of an individual's irresponsibility for the consequences of his own actions. The article highlights the concept of "attachment of responsibility": everyone must be responsible for their actions. Through the multifaceted artistic macrosphere of the song, a number of important interpretations of the essence of moral responsibility in the axiological sense are revealed. An irresponsible act causes a corresponding reaction on the part of individual individuals, merging into a general moral and ethical assessment by the entire community. Thus, through the folklore image of the traditional lyric-epic song, the folklore idea of the uniqueness and uniqueness of human life, which is included in the living memory of other people, their experience and the spiritual world, is transmitted.

Spectral properties of two coupled Fibonacci chains

The Fibonacci chain, i.e. a tight-binding model where couplings and/or on-site potentials can take only two different values distributed according to the Fibonacci word, is a classical example of a one-dimensional quasicrystal. With its many intriguing properties, such as a fractal eigenvalue spectrum, the Fibonacci chain offers a rich platform to investigate many of the effects that occur in three-dimensional quasicrystals. In this work, we study the eigenvalues and eigenstates of two identical Fibonacci chains coupled to each other in different ways. We find that this setup allows for a rich variety of effects. Depending on the coupling scheme used, the resulting system (i) possesses an eigenvalue spectrum featuring a richer hierarchical structure compared to the spectrum of a single Fibonacci chain, (ii) shows a coexistence of Bloch and critical eigenstates, or (iii) possesses a large number of degenerate eigenstates, each of which is perfectly localized on only four sites of the system. If additionally, the system is infinitely extended, the macroscopic number of perfectly localized eigenstates induces a perfectly flat quasi band. Especially the second case is interesting from an application perspective, since eigenstates that are of Bloch or of critical character feature largely different transport properties. At the same time, the proposed setup allows for an experimental realization, e.g. with evanescently coupled waveguides, electric circuits, or by patterning an anti-lattice with adatoms on a metallic substrate.

Review on Isolated Urdu Character Recognition: Offline Handwritten Approach

Abstract: This paper summarizes a system for recognizing isolated Urdu characters using advanced machine learning algorithms. The system analyzes visual features of Urdu characters, like strokes and curves, to train models such as CNN, SVM, ANN, and MLP. With a large dataset, the system can accurately predict unseen characters. It can be integrated into various applications for real-time character recognition tasks like OCR (Optical Character Recognition) and handwriting recognition. This literature survey explores research papers focused on character recognition in languages like Urdu, Arabic, Persian, and Sindhi, proposing various techniques like feature extraction, deep learning, and machine learning to enhance character recognition technology. The survey highlights specific studies with high accuracy and discusses recognition systems for Arabic characters as well.

LINGUOCULTUROLOGICAL FIELD OF FEMALE CONSCIOUSNESS IN DINA RUBINA’S NOVEL PUNCH SYNDROME

Researchers of Dina Rubina’s novel Punch Syndrome most often pay attention to the motives of puppetry and duality. However, the content of this work is much broader. The lingvocultural theory of V.V. Vorobyov helps to analyze female consciousness concept sphere, which is most important for this novel. The interrelation, mutual influence and interaction of ‘motherhood’, ‘love’, ‘morality’, ‘patriarchal ideas’ and ‘beliefs’ concepts allow us to analyze the consciousness of women reproduced by the writer at a deep level, as well as to outline clearly the features of female characters. All this offers a completely new point of view on an already well-researched work. Conducted research made it possible to find out that the linguistic and cultural field of female consciousness in this novel is formed by the cultural concepts of ‘motherhood’, ‘love’ and ‘morality’. They connect into the central structure of this field. In Dina Rubina’s worldview these concepts are interrelated and interdependent, they form a general idea of women’s culture. Patriarchal ideas and beliefs remain on the periphery, and that is also taken into consideration.

Names Components as Part of Idioms and Proverbs: Language and Culture Peculiarities

The relevance of the research is determined by the comprehensive analysis of idioms and paroemias function-ing in modern Russian language formulating the national character. The aim of the research is to identify the charac-teristic features typical for idioms and paroemias containing names component. The research methodology is based on an interdisciplinary approach and includes general scientific and special methods. The group of general scientific methods includes analysis and synthesis, as well as generalization to systematize theoretical and practical material. The special methods group includes the modeling method to identify specific linguistic and cultural properties of idi-oms and paroemias typical for Russian culture; the method of component analysis to provide semantic features anal-ysis and to give lexical and semantic variants of words with several meanings; a definitional method to obtain lexico-graphic information dealing with the meaning of the language unit. Russian idioms and paroemias with Names com-ponents reflect the specific features of the national Russian character and make it possible to determine the key properties of the Russian mentality. The research deals with the analyses idioms and paroemias with the Names component having been divided into the following group types: mythonyms, chrononyms, hagionyms, literary onyms, historical onyms, anthroponyms. According to the author, all types of idioms and paroemias with the Name compo-nent function in modern Russian and are markers of culturally significant information reflecting the specifics of Rus-sian culture. All in all, the authors rank anthroponyms as the most productive Name components types, while chrono-nyms are not a productive phenomenon.

Text Complexity of Chinese Elementary School Textbooks: Analysis of Text Linguistic Features Using Machine Learning Algorithms

ABSTRACT Purpose This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China were analyzed. The predictor variables were 265 linguistic features of texts: 154 lexical features and 111 sentence and discourse features. The outcome variable was the complexity level of texts; a one-semester-scale was applied, thus 12 levels in total (two semesters per grade). Results Features of the categories of character and word frequency, character and word semantic features, lexical diversity, part-of-speech syntactic categories, and referential cohesion were found the most important. With the important features identified, we found that text complexity models with features at all levels outperformed those with features at only one level. Models using the two machine learning algorithms (Random Forest Regression and Support Vector Regression) outperformed those using Linear Regression. Conclusion This work clarifies important linguistic features for Chinese text complexity, and points to the necessity of considering features across levels and using machine learning algorithms in future text complexity research.

Age-related differences in associative memory recognition of Chinese characters and hippocampal subfield volumes

Associative memory is a type of hippocampal-dependent episodic memory that declines with age. Studies have examined the neural substrates underlying associative memory and considered the hippocampus holistically; however, the association between associative memory decline and volumetric change in hippocampal subfields in the context of normal aging remains uncharacterized. Leveraging the distinct linguistic features of Chinese characters to evaluate distinct types of false recognition, we investigated age-related differences in associative recognition and hippocampal subfield volumes, as well as the relationship between behavioral performance and hippocampal morphometry in 25 younger adults and 32 older adults. The results showed an age-related associative memory deficit, which was exacerbated after a 30-min delay. Older adults showed higher susceptibility to false alarm errors with recombined and orthographically related foils compared to phonologically or semantically related ones. Moreover, we detected a disproportionately age-related, time-dependent increase in orthographic errors. Older adults exhibited smaller volumes in all hippocampal subfields when compared to younger adults, with a less pronounced effect observed in the CA2/3 subfield. Group-collapsed correlational analyses revealed associations between specific hippocampal subfields and associative memory but not item memory. Additionally, multi-subfield regions had prominent associations with delayed recognition. These findings underscore the significance of multiple hippocampal subfields in various hippocampal-dependent processes including associative memory, recollection-based retrieval, and pattern separation ability. Moreover, our observations of age-related difficulty in differentiating perceptually similar foils from targets provide a unique opportunity for examining the essential contribution of individual hippocampal subfields to the pattern separation process in mnemonic recognition.

Multilabel sentiment analysis for classification of the spread of COVID-19 in Indonesia using machine learning

This study aims to use datasets on Twitter to find out public opinion on the spread of coronavirus in Indonesia by conducting sentiment analysis. The resulting sentiment analysis will benefit the community by helping the Indonesian government take various strategic measures to prevent and counter the spread of the COVID-19. This research was conducted through the data collection stage, namely crawling data tweet words in Bahasa Indonesia containing the meaning of the spread of COVID-19, the next stage of the process of creating labels manually. Next, the pre-process stage by removing the character, symbols and special features from Twitter. The last stage, classification using learning machine with 3(three) methods namely K-nearest neighbor (K-NN), Naïve Bayes and decision tree. The study analyzed sentiment of 1,119 valid Tweets data and found that K-NN algorithm had the highest accuracy value compared to Naïve Bayes and decision tree algorithms, which was 95.10%. However, the Twitter data analyzed obtained 78.19% of Tweets that fall into the negative category and only 13.85% of public opinion that is positive. This indicates that most of the Tweets of Indonesians in twitter do not mean the spread of COVID-19 disease somewhere.

A Word Embeddings based Approach for Author Profiling: Gender and Age Prediction

Author Profiling (AP) is a method of identifying the demographic profiles such as age, gender, location, native language and personality traits of an author by processing their written texts. The AP techniques are used in multiple applications such as literary research, marketing, forensics and security. The researchers identified various differences in the authors writing styles by analysing various datasets. The differences in writing styles are represented as stylistic features. The researchers extracted several style based features like structural, content, word, character, syntactic, readability and semantic features to recognize the profiles of the authors. Traditionally, the researchers extracted various feature combinations for differentiating the profiles of authors. Several existing works are used Machine Learning (ML) methods for predicting the author characteristics of a new author. The existing works achieved good accuracies for predicting the author characteristics by considering the both stylistic features and ML algorithms combination. Recently, in advent of Deep Learning (DL) techniques the researchers are proposed approaches to author profiling by using these techniques. Few researchers identified that the deep learning techniques performance is good for author profiles prediction than the results of style based features. In this work, a word embeddings based approach is proposed for gender and age prediction. In this approach, the experiment conducted with different word embedding models such as Word2Vec, GloVe, FastText and BERT for generating word vectors for words. The documents are converted as vectors by using the document representation technique which uses the word embeddings of words. The document vectors are transferred to three different ML algorithms such as Extreme Gradient Boosting (XGBoost), Random Forest (RF) and Logistic Regression (LR) for generating the trained model. This model is used for predicating the accuracy of age and gender prediction. The XGBoost classifier with word embeddings of BERT achieved good accuracies for age and gender prediction than other word embeddings and ML algorithms. The experiment implemented on PAN 2014 competition Reviews dataset for age and gender prediction. The proposed approach attained best accuracies for predicting age and gender than the performances of various existing approaches proposed for AP.

RUSSIAN-SOVIET EXPERIENCE OF TRANSLATING THE POEM “ANNABELLE LEE” BY EDGAR ALLAN POE

This article is devoted to the study of the tradition of translating the romantic poetry of Edgar Allan Poe into Russian. The work of Edgar Allan Poe is distinguished by the grace of the Gothic landscape, a skillful combination of the mystical and romantic aspects of the inner experiences of the individual, the acute struggle of the lofty ideal with social reality. “Madness as art” is a distinctive feature of the search for love of Poe’s lyrical heroes, a feature of their perception of the world. The poetry of the author conveys his inner experiences, which, as a rule, are the personal motives of the lyrical heroes. This specificity significantly complicates the translation of poetry. The author’s last poem “Annabel Lee” generalizes the image of “eternal love”, and the stylistic and lexical-semantic features of the poem testify to the fullness of the artistic world with cultural, mystical-religious, emotional, religious and cult-ritual concepts. Despite the fact that Poe has been criticized for his penchant for formalism, his poetic skill is considered the ideal type of maintaining the unity and integrity of artistic impression. The mechanical preservation of form, characteristic of Poe’s early work, was embodied in his last poem. For the linguistic embodiment of “eternal love” the author contrasts archetypes and forms of interaction between the earthly and heavenly worlds. Adhering to the position of the need for deep, gradual and methodical work on the poem, Poe created a unique synthetic world saturated with the spirit of Antiquity, the Middle Ages and the New Time. The image of Annabel Lee has retained the features of Lenore, Helena, Ligeia and other female characters that were created by the author in poetry and prose. The translations made by K. Balmont, V. Bryusov and V. Fedorov are considered to be classical ones. We aim to analyze other well-known translations by S. Andreevsky, D. Sadovnikov, L. Umants, V. Zhabotinsky, A. Olenich-Gnenenko. The result of the research was the identification of the translation features of the poem at the compositional, stylistic, lexical and semantic levels.

ETYMOLOGICAL PECULIARITIES OF PHRASEOLOGICAL UNITS WITH A ZOOCOMPONENT IN THE ENGLISH LANGUAGE

The given article aims at analyzing etymological peculiarities of phraseological units with a zoocomponent in the English language. The following methods of research have been employed in the process of our investigation: general scientific such as analysis of scientific sources and systematization; the method of etymological analysis for establishing the origin of the phraseological units under study and the quantitative method to summarize the received data. Zoonyms are characterized by a wide-spread nature and are actively used in English to reinforce the human image, situations, life experience, and their main features of character. The most traditional principle of phraseological units classification is based on their origin, the latter is regarded as a peculiar sphere of human activity or a natural phenomenon. These are the expressions typical for the representatives of various jobs, or connected to agriculture, daily routine, fauna, sports, etc. There also exist borrowings from the Bible or the works by Shakespeare, or other famous authors. Having analyzed the origin of 1000 English phraseological units with a zoocomponent, we found out that English proper idioms are dominant and comprise 51% of all the material under study. 17% belong to the aphorisms of famous people, mostly by W. Shakespeare and G. Chaucer. Classical origin from Ancient Greek or Roman mythology have 14% of the idioms under analysis. The job sphere represents another source of their origin including only 9% of phraseological units. The ones with Biblical origin are quite few in number (only 6%). Another 3% have a vague origin.

FORMATION STAGES OF FESTIVE RITUAL ACTION IN THE CULTURAL LIFE OF KAZAKHSTAN

This article reviews the basic formation stages of festive ritual action in the cultural life of Kazakhstan. Generations to generations of Kazakh have always revered and highly valued their national customs and traditions. It is difficult to describe all the traditions and customs followed by Kazakh people in one scientific work, thus a brief introduction to stages of festive ritual actions, beliefs and customs are dealt with in this article. One of the main traditions of the Kazakhs, which has now become a feature of the national character, is hospitality. Hospitality, in Kazakh society, is considered the main duty - to receive guests from the bottom of the heart. The guest is the most important and most desired person in Kazakh society. It is customary to feed him the most delicious food and do everything to make him feel safe and comfortable. The primary aim of the research is to identify the cultural value of transformed traditions by reviewing the historical background of festive ritual actions. However, the national identities that served as a basis for the occurrence of generalized rules and principles of public relations (tradition), fortunately, are confined not only to representatives of the Kazakh people. Therefore, the basic stages of festive ritual actions formation and widespread authentic customs, and traditions of nomads in the Kazakh steppe are widely studied by authors.

Features of the Partipation of a Russian Fairy Tale in the Model of the Female Self

Introduction. The study of a fairy tale leads to an understanding of the deep processes of the global world, the desire for localization, glocalization. The Russian fairy tale in the model of the female “I” is the postulate of a modern reading and the search for one’s place in the world, since the inability to adequately read life, real and fabulous ideological, leads to a detached state of personality, the muscularity of character and external features is the need for counteraction and integration into the call-response system time. Materials and Methods. The article is written taking into account the systematic and interdisciplinary approaches. For the study were used Russian folk tales as presented by: P. P. Ershov “The Humpbacked Horse”, A. N. Afanasiev: “The Firebird and Vasilisa-Tsarevna”, “Koschey the Immortal”, “Sivka-Burka”, A. S. Pushkin: “The Tale of Tsar Saltan”, “The Tale of the Fisherman and the Fish”. Also, tales without authorship: “The Queen and His Uncle”, “Sorcerer’s water”, “Elena the Wise”, “Ivan Bykovich”, “Robbers”, “True and False”, “The Three Kingdoms of Copper, Silver and Gold”, “The Feather of Finist the Clear Falcon”, “The Witch and the Sun Sister”. Research Results. Russian fairy tales as models of women’s self-perception were studied. The values of the people as a cultural historical and current society were evaluated in the categories, the centers of which served at different times as a social change, the dialogue of cultures, which became a unifying and constitutive vector of development of the idea of women’s share. Elements of belonging and alienation are the result of interpenetration of traditions of all peoples of the Russian state, which is why the identification and subsequent comprehension of “folk traits” is relevant, since the elements of hostility as well as friendly reconciliation are mutually excluded, which leads to many pathologies of the social organism, the individual. Discussion and Conclusion. Identification of the female category of attitude to the world in the “good/evil” system in an interdisciplinary approach is possible in such structures as aesthetic, philosophical, semiotic figurative representation. The content of the artistic content should be scientifically comprehended and adapted at the present time as a guarantee of the semantic characteristics of a successful assessment of the system of knowledge about society, the role of women in society, in a number of issues about the feminization of key issues in life aspects: education, culture, legal culture.

Perceived Value Dimensions of Virtual Idols and Its Influence Mechanism on Consumer Adoption Intention Based on Grounded Theory

In response to the rapid technology development but inadequate attention on consumer value of virtual idol, this study aims to explore the connotation of perceived characteristics of virtual idols, dimensional indicators, and the mechanism of their influence on consumers' adoption intention. Through the method of in-depth interviews and grounded theory, this study found the perceptual characteristics of virtual idols including nine elements: appearance characteristics, temperament characteristics, movement characteristics, voice characteristics, storylines, story scenes, character features, technical empowerment, and personality empowerment. Based on the Stimulus-Organism-Response theory, a theoretical framework established to explain the influence mechanism: from perceptual characteristics of virtual idols, to social identity, to consumption value and emotional value, to consumers' adoption intention. This study can help virtual idol enterprises get closer to consumers, and promote the healthy development of virtual idols.

WAYS OF IMPROVING THE CONTENT OF MODERN UKRAINIAN LITERATURE TEXTBOOKS CONSIDERING CONSTRUCTIVE HISTORICAL ACHIEVEMENTS

The article is devoted to finding effective ways to improve the content of modern textbooks on Ukrainian literature. The need to introduce the experience of teaching Ukrainian literature of previous historical periods, which provided for the widespread use in the educational process of the concept of the hero as an example to follow, a means of forming patriotism, moral and ethical values of the Ukrainian nation. The general didactic and specific requirements to the modern textbook on the Ukrainian literature are investigated, the most necessary conditions for creation of new textbooks are defined (high-content art texts making the real spiritual heritage of national culture, aesthetic and moral and ethical weight, because the emotional perception of the artistic image has a significant impact on the reader). The peculiarities of interpretation of images of heroes of folklore and literary works in critical and didactic articles of modern textbooks for primary school, as well as the task of external independent evaluation of Ukrainian literature in recent years to fill educational material that promotes patriotic and heroic virtues. It is established that the modern education system should promote the national ideology aimed at serving society, the formation of a citizen-democrat, humanist and patriot (one of the means of such activities is a textbook on Ukrainian literature). It is proved that the challenges of time determine the need to create textbooks on Ukrainian literature, which would: contribute to the formation of a thorough system of knowledge in student youth; presented different points of view on the evaluation of works of art and images of heroes; demonstrated the personal beliefs of literary heroes; contained brief historical references to certain events from works of art; popularized the passionary type of the hero as the embodiment of the best features of the national character of the individual.

Dance Video Motion Recognition Based on Computer Vision and Image Processing

ABSTRACT In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion in dance video is relatively high. In article, an optimized design scheme for motion recognition research of dance video based on computer vision and image processing is proposed. The collected dance video is preprocessed, including grayscale, background subtraction and filter denoising, so as to extract the character features in the video image. Then, the method of self-organizing mapping neural network (SOM) in computer vision is used to realize the recognition of dance movements. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has a certain accuracy, which is 9.34% higher than the traditional arithmetic. The research of motion recognition method based on dance video will also play a certain reference role for the research of human motion recognition in a large number of real and complex environments, and enrich the application field of motion recognition technology.

A Corpus-Based Lexical Evaluation of L1 Arabic Learners’ English Literary Essays

Evaluating learners’ writing quality has been quite challenging. One important indicator of writing quality is the use of lexis in texts. However, more efficient evaluative guidelines should be explored. Although corpus-based lexical studies have provided analyses of various text genres for word frequencies and keywords indicative of lexical density, and thus writing quality for teaching/learning purposes, learner literary texts remain under researched. This study explores the word frequencies in a corpus of N=206 L1 Arabic learners’ literary essays written in English in one literature course at an English medium university in Lebanon. Lextutor platform was used to analyze the word frequency profiles which indicate the lexical density level and Voyant Tools platform to analyze the content keyword profiles, which preview thematic representations and character features. Main findings indicated a dichotomy between literary knowledge and language proficiency. The content keywords previewed themes and character features adequately which showed the learners’ knowledge of the literary text. The word frequency profiles, however, indicated a low lexical density and, thus, a low language proficiency level. Implications for pedagogy and recommendations are made for further researching this “controversial dichotomy” in learners’ literary essays in developing the literary edge for well-rounded learners versus improving their language proficiency level.

Visual analysis of inscriptions in the Tang Dynasty: a case study on the calligraphy style of Wang Xizhi

The art of inscriptions is one of the most important components of the glorious ancient culture in China. It is an essential method not only for ancients to record history and disseminate culture but also to provide original written and pictorial records for subsequent generations to learn about ancient Chinese culture. However, the art of inscriptions and calligraphy is currently not widely available because of its professional chirography, style and composition. Moreover, traditional calligraphy exhibitions cannot provide the public with an interactive and intuitive way to present the features of Chinese characters, such as stroke thickness. Therefore, in this paper, we present an interactive visual system to support the public in understanding and appreciating the calligraphic style of the inscriptions of the Tang Dynasty and the evolutionary path of the calligraphic style of Wang Xizhi. We first employ image processing technology to extract calligraphy features. Then, we help users explore the development of calligraphy from the spatial-temporal dimension and analyze the similarity between the works at two granularity levels: Chinese character structure and the works’ style. Furthermore, the system also provides a metaphorical visualization method to enhance the concretization of calligraphic appreciation. Case studies and comprehensive evaluation demonstrate the usability of our proposed visual analysis system of the calligraphic style of the inscriptions in the Tang Dynasty.