The purpose of this study is to introduce a new model of teaching Chinese as a foreign language from the perspective of integrating wisdom. Its characteristics are as follows: focusing on the butterfly model of interpretation before translation, highlighting the new method of bilingual thinking training, on the one hand, applying the new theory of Chinese characters, the theory of the relationship between language and speech, and the forward-looking research results of language science; On the other hand, the application of the new model of teaching Chinese as a foreign language, AI empowering teaching and learning, and the forward-looking research results of educational science fully reflect a series of characteristics of the new model of teaching Chinese as a foreign language from the perspective of integrating wisdom. Its beneficial effects are: not only the old view of language and education, especially the old view of teaching Chinese as a foreign language, but also the old view of human-computer interaction. Its significance lies in that a series of great cross-border Rongzhixue such as language, knowledge, education and teaching, as well as new methods and new topics of bilingual thinking training are clearly put forward from the perspective of integrating wisdom. Especially in the face of the challenge of Chat GPT to human learning ability and even creativity, the existing concepts of language knowledge education and teaching are already very backward. The old concepts of Chinese language education, and teaching Chinese as a foreign language are all facing a series of subversive innovation challenges. How to seek changes in adaptation? This study has made a series of innovative attempts, hoping to benefit academic colleagues, teachers and students.
In recent years, short videos have jumped to become one of the highly influential communication media. It not only provides a brand-new vision idea for cultural communication, but also gives the possibility of wide dissemination of Chinese language and literature culture. This paper analyzes the types of short video communication modes and communication power mechanism, and draws the technical route of short video production and processing. The communication advantages of Chinese language and literature culture in short videos are divided into three parts: platform advantages, content advantages and technical advantages. Combined with the video recommendation algorithm, a multimodal graph convolutional network algorithm for short video recommendation is proposed. Select experimental datasets, performance indicators, and comparison algorithms for recommendation performance evaluation of multimodal graph convolutional neural network algorithm. Survey questions containing cognitive, value, and behavioral dimensions are designed to capture users' attitudes and perceptions of Chinese language, literature, and cultural communication in short video platforms. Chinese language and literature cultural communication for short video users can deepen users' language and literature cognition. Among them, “I realize the responsibility of inheriting and promoting the culture of Chinese language and literature” has a mean score of 3.98. And "I have learned a lot of cultural knowledge" and "I have revisited Chinese and Chinese Chinese literature" have been highly recognized.
With the continuous advancement of educational information technology, the application strategies of Chinese character information processing technology in Chinese language and literature teaching have become increasingly sophisticated. This paper first explores the application strategies of mobile technology in Chinese character learning, emphasizing the importance of scientific application and how to innovate teaching methods by integrating online and offline approaches. Subsequently, it analyzes the use of multimodal technology in Chinese character recognition and writing, highlighting the significance of dynamically presenting stroke composition and integrating real-life contexts. Additionally, the paper examines the application of Chinese character structure theory and two-dimensional contour deformation technology in teaching, emphasizing their roles in helping students understand the structure and writing of Chinese characters. Furthermore, regarding the use of multimedia information technology, the study proposes the development of a micro-lesson upload platform to facilitate autonomous learning. It also discusses how to select appropriate learning platforms to enhance teaching interaction, enabling students to access richer and more personalized learning experiences while allowing teachers to effectively track and guide their progress. These strategies aim to improve the quality and efficiency of Chinese character teaching.
The study addresses the issue of the linguistic analysis of artistic discourse in the aesthetic projection of idiodiscursive language modelling, where artistic discourse is understood as a particular aesthetic and ethno-cultural worldview formed through the intellectual and creative interaction between the artist (author) and the recipient (reader). The purpose of this work is to clarify the dimensions of the linguistic aesthetic model of the author's set of techniques and tools based on the linguistic discursive practices of the contemporary Chinese literature (the turn of the XX-XXI centuries). The study analyses six popular works of prose in the form of a lengthy novels by Mo Yan, Liu Zhenyun, Yu Hua, Jia Pingwa, Wang Anyi and Moxiang Tongxiu, comprising a total of about three million hieroglyphs. The study employs a comprehensive methodology underpinned by the concepts of integral linguistics, text linguistics, pragmatics, cognitive and suggestive linguistics, which consequently engenders an interdisciplinary approach. The paper sets out to analyse the influence of ethnocultural features on the formation of a nationally oriented artistic discourse. The concept of national culture is identified through the realms of the linguistic picture of the world, which act as a cultural code or cultural marker. The author’s linguistic personality is regarded as a modelling projection of the national language and ethnocultural features. The results of the study demonstrate that the parameters of the linguoesthetic model of the author’s linguistic consciousness include: the individual author’s linguistic features, which are subjective and syntagmatic in nature; the ethnonational and sociocultural-cognitive author’s attitudes; the use of intermediate tools of cognitive-pragmatic psychology to attract multidimensional matrix attention, thereby helping to obtain aesthetic perception from fictitious interaction with the artistic world; the emotive density at points of structural tension; the linguoesthetic discursive markers; the integration of cultural, historical and ethnonational realities. The proposed dimensions require further expansion and detail, but in this form, they allow us to apply them in the methodology of analyzing artistic discourse on the issue of identifying ideodiscursive and linguoesthetic features in the use of writing practices.
In recent years, with the continuous development of international Chinese education, the field of Chinese textbook research has shown a flourishing trend. Based on the CNKI database, this study employs Cite Space 6.3 R1 software to conduct a bibliometric analysis of literature on Chinese textbooks for foreign learners from 1999 to 2023. The study systematically examines publication volume, key authors, major institutions, research hot spots, and emerging trends. The findings indicate that Chinese textbook research has undergone four stages: the preliminary stage (1999-2005), steady growth stage (2006-2010), peak stage (2011-2018), and stabilization stage (2019-2023). Regarding research hot spots, topics such as textbook compilation, localization, principles of textbook design, and error analysis have gained significant academic attention. Furthermore, keyword clustering and burst word analysis reveal the evolutionary trends of Chinese textbook research, suggesting that future studies may focus more on personalized, intelligent, and multi modal textbook development. This study contributes to a comprehensive understanding of the current state and development trends of Chinese textbook research and provides insights for future investigations.
Maryam Vafapour, Hanieh Talebi, Mahsa Danaei
et al.
Abstract Background This study investigates the relationship between polymorphisms in the MTHFR gene and the risk of preterm birth (PTB). Methods A comprehensive literature review was conducted using databases such as PubMed, Web of Science, and CNKI, with the search finalized on January 1, 2025. The review specifically targeted studies published prior to this date, utilizing relevant keywords and MeSH terms associated with PTB and genetic factors. Inclusion criteria encompassed original case-control, longitudinal, or cohort studies, with no limitations on language or publication date. Associations were quantified using odds ratios (ORs) and 95% confidence intervals (CIs) via Comprehensive Meta-Analysis software. Results The analysis included 44 case-control studies comprising 7,384 cases and 51,449 controls, extracted from 28 publications in both English and Chinese. Among these studies, 29 focused on the MTHFR C677T polymorphism, while 15 examined the MTHFR A1298C variant. Pooled results demonstrated a significant association between the MTHFR C677T polymorphism and PTB under five genetic models: allele (C vs. T; OR = 1.303, 95% CI 1.151–1.475, p ≤ 0.001), homozygote (CC vs. AA; OR = 1.494, 95% CI 1.212–1.842, p ≤ 0.001), heterozygote (CT vs. AA; OR = 1.303, 95% CI 1.119–1.516, p = 0.001), dominant (CC + CT vs. AA; OR = 1.341, 95% CI 1.161–1.548, p ≤ 0.001), and recessive (CC vs. CT + AA; OR = 1.340, 95% CI 1.119–1.604, p = 0.001). Subgroup analyses indicated significant associations in Asian populations, particularly in studies conducted in China and India, while no significant correlations were found in Caucasian populations, including those from Austria. Moreover, the MTHFR A1298C polymorphism did not demonstrate a significant relationship with PTB risk across the studied ethnicities. Conclusions The findings indicate a significant association between the MTHFR C677T polymorphism and PTB risk, particularly in Asian and Indian populations, while no significant associations were identified in Caucasian groups. Conversely, the MTHFR A1298C polymorphism appeared to have a negligible impact on PTB risk, underscoring the importance of considering population-specific factors in understanding the genetic epidemiology of PTB.
Emperor Huizong's reverence for Taoism exerted far-reaching influences on society, politics, economy, and culture, with medicine being deeply influenced as well. His medical views were deeply rooted in Taoism. He regarded medicine as a form of Taoist practice and the Yellow Emperor's Inner Canon as a vessel of the "Great Tao". Therefore, in advancing state healthcare, he integrated medical promotion with Taoist reverence, implementing many medical initiatives with Taoist characteristics. These initiatives had complex effects on the development of medicine. On one hand, they elevated medicine from the level of mere "technique" to the realm of "Tao". This elevation enhanced the social status of medicine, expanded the community of "superior physicians", stimulated theoretical discussions and promoted the development of Yunqi theory. As a result, medicine during this era demonstrated a new style that emphasized Tao, valued rational thinking and advocated the study of Yunqi theory. On the other hand, they revived mystical therapies like elixir ingestion and talismanic rituals, endangering public health and medical progress.
Large language models (LLMs) have demonstrated remarkable capabilities, but their success heavily relies on the quality of pretraining corpora. For Chinese LLMs, the scarcity of high-quality Chinese datasets presents a significant challenge, often limiting their performance. To address this issue, we propose the OpenCSG Chinese Corpus, a series of high-quality datasets specifically designed for LLM pretraining, post-training, and fine-tuning. This corpus includes Fineweb-edu-chinese, Fineweb-edu-chinese-v2, Cosmopedia-chinese, and Smoltalk-chinese, each with distinct characteristics: Fineweb-edu datasets focus on filtered, high-quality content derived from diverse Chinese web sources; Cosmopedia-chinese provides synthetic, textbook-style data for knowledge-intensive training; and Smoltalk-chinese emphasizes stylistic and diverse chat-format data. The OpenCSG Chinese Corpus is characterized by its high-quality text, diverse coverage across domains, and scalable, reproducible data curation processes. Additionally, we conducted extensive experimental analyses, including evaluations on smaller parameter models, which demonstrated significant performance improvements in tasks such as C-Eval, showcasing the effectiveness of the corpus for training Chinese LLMs.
Chinese-Vicuna is an open-source, resource-efficient language model designed to bridge the gap in Chinese instruction-following capabilities by fine-tuning Meta's LLaMA architecture using Low-Rank Adaptation (LoRA). Targeting low-resource environments, it enables cost-effective deployment on consumer GPUs (e.g., RTX-2080Ti for 7B models) and supports domain-specific adaptation in fields like healthcare and law. By integrating hybrid datasets (BELLE and Guanaco) and 4-bit quantization (QLoRA), the model achieves competitive performance in tasks such as translation, code generation, and domain-specific Q\&A. The project provides a comprehensive toolkit for model conversion, CPU inference, and multi-turn dialogue interfaces, emphasizing accessibility for researchers and developers. Evaluations indicate competitive performance across medical tasks, multi-turn dialogue coherence, and real-time legal updates. Chinese-Vicuna's modular design, open-source ecosystem, and community-driven enhancements position it as a versatile foundation for Chinese LLM applications.
Nicolas Zucchet, Jörg Bornschein, Stephanie Chan
et al.
Large language models accumulate vast knowledge during pre-training, yet the dynamics governing this acquisition remain poorly understood. This work investigates the learning dynamics of language models on a synthetic factual recall task, uncovering three key findings: First, language models learn in three phases, exhibiting a performance plateau before acquiring precise factual knowledge. Mechanistically, this plateau coincides with the formation of attention-based circuits that support recall. Second, the training data distribution significantly impacts learning dynamics, as imbalanced distributions lead to shorter plateaus. Finally, hallucinations emerge simultaneously with knowledge, and integrating new knowledge into the model through fine-tuning is challenging, as it quickly corrupts its existing parametric memories. Our results emphasize the importance of data distribution in knowledge acquisition and suggest novel data scheduling strategies to accelerate neural network training.
Systemic Functional Grammar and its branch, Cardiff Grammar, have been widely applied to discourse analysis, semantic function research, and other tasks across various languages and texts. However, an automatic annotation system based on this theory for Chinese texts has not yet been developed, which significantly constrains the application and promotion of relevant theories. To fill this gap, this research introduces a functional syntax annotation model for Chinese based on RoBERTa (Robustly Optimized BERT Pretraining Approach). The study randomly selected 4,100 sentences from the People's Daily 2014 corpus and annotated them according to functional syntax theory to establish a dataset for training. The study then fine-tuned the RoBERTa-Chinese wwm-ext model based on the dataset to implement the named entity recognition task, achieving an F1 score of 0.852 on the test set that significantly outperforms other comparative models. The model demonstrated excellent performance in identifying core syntactic elements such as Subject (S), Main Verb (M), and Complement (C). Nevertheless, there remains room for improvement in recognizing entities with imbalanced label samples. As the first integration of functional syntax with attention-based NLP models, this research provides a new method for automated Chinese functional syntax analysis and lays a solid foundation for subsequent studies.
In the context of the booming development of new media and digital technology, the way of information dissemination, the mode of learning and the means of education have undergone a radical change. However, this change has challenged the traditional teaching methods of Chinese Language and Literature and given it unprecedented development opportunities. With the wide application of new media technologies and the increasing abundance of digital resources, how to effectively integrate these emerging technologies and resources into the teaching of Chinese Language and Literature has become a problem that needs to be solved for the education reform. In this context, this paper discusses the reconstruction of the teaching mode of Chinese language and literature under the dual drive of new media and digital technology, aiming to improve the quality of teaching through innovative teaching methods, optimizing teaching content, and at the same time strengthening the construction of the teaching team and teaching facilities, so as to provide a strong support for the modernization and internationalization transformation of the education of Chinese language and literature, and to push it to realize the leapfrog development under the background of the new era.
Abstract With the rapid development and universal application of information technology, it brings brand new challenges to the development of Chinese language and literature. This study constructs a model of the development level of Chinese language through an in-depth study of data mining technology, combining the abnormal data detection algorithm based on vector machine and K-modes clustering algorithm. Through cluster analysis, students of Chinese language and literature are clustered and divided to explore potential factors that may pose difficulties in their development. On this basis, a path of Chinese language and literature ability cultivation based on the two-line teaching mode is proposed for the development needs of Chinese language and literature, and the teaching mode of Chinese language and literature in this paper is compared with the traditional teaching mode of Chinese language and literature. The scores of each competency level of Group A based on the teaching mode of this paper increased by 0.563~1.263 points compared with those of Group B based on the traditional teaching mode, and the average composite score and average satisfaction increased by 0.855 and 0.521 points compared with those of Group B. In addition to the educational aspect, the innovation of Chinese language and literature informatization can be carried out in terms of traditional cultural integration, minority language and culture preservation, and international promotion.
Under the dual background of the construction of the "new liberal arts" and the digital wave, the interdisciplinary practice of combining humanities and technology continues to develop. Taking a number of Chinese language and literature works as examples, this paper selects language features from the vocabulary and sentence levels, analyzes the syntactic structure of the selected Chinese language and literature works with the help of natural language processing technology and numerical measurement method of language features improved TF-IDF method, and realizes the discussion of the lexical categories of literary works, such as word length, word frequency, word class distribution and word density, as well as the study of sentence categories such as average sentence length, sentence dispersion and sentence class distribution. It is found that most of the utterances of the selected literary works are monosyllabic words and polysyllabic words, the cumulative proportion of both of them is more than 90%, the highest frequency of occurrence is nouns and verbs, both of them are more than 22%, the average sentence length and sentence dispersion do not differ much, and the overall readability of the selected literary works is better, with a free change of syntactic structure and a stronger narrative of the text.
Penelitian ini bertujuan untuk menganalisis nilai-nilai kekeluargaan yang muncul dalam serial televisi "American Born Chinese". "American Born Chinese" menitikberatkan pada penerimaan diri dan nilai-nilai keluarga. Seiring perkembangan teknologi, nilai-nilai tradisional mulai memudar, terutama nilai-nilai keluarga. Penelitian ini menggunakan metode kualitatif dengan menganalisis adegan-adegan dalam serial. Melalui analisis adegan-adegan tersebut, ditemukan bahwa hubungan suami-istri mempunyai pengaruh yang sangat penting terhadap keharmonisan keluarga dan tumbuh kembang anak. Hubungan yang harmonis antara suami dan istri dapat menciptakan lingkungan keluarga yang stabil, suportif, dan penuh perhatian, sehingga membantu anak membangun rasa percaya diri dan menghadapi tantangan hidup. Temuan ini mencerminkan nilai-nilai kekeluargaan dalam Konfusianisme dan memberikan referensi berharga bagi keluarga modern. Penelitian dapat memperdalam pemahaman tentang nilai-nilai keluarga Konfusianisme, memandu hubungan keluarga modern, dan mendorong kehidupan keluarga yang harmonis.
Bahasa selain sebagai berfungsi alat komunikasi, juga memiliki fungsi mengikat sebuah komunitas, memelihara hubungan sosial dan lain-lain. Senior Tionghoa Hakka Surabaya meskipun memiliki Bahasa Ibu Bahasa Indonesia, mereka tetap menggunakan Bahasa Hakka untuk berkomunikasi dan memelihara hubungan sosial. Penelitian ini merupakan penelitian analisa kuantitatif deskriptif dengan mengumpulkan data kuesioner dan tujuan dari penelitian ini adalah untuk mengetahui kebenaran bahwa para Senior Tionghoa Hakka menggunakan Bahasa Hakka untuk berkomunikasi memelihara hubungan sosial. Hasil penelitian menunjukkan bahwa berkomunikasi dengan teman atau kerabat satu kampung halaman dan berbicara dengan keluarga dekat merupakan indikator kuat bagi Senior Tionghoa Hakka untuk memelihara hubungan sosial.
This paper discusses the importance and necessity of fostering creative problem-solving abilities among Chinese language and literature majors. Traditional teaching methods such as lecturing have limitations in cultivating students' creative problem-solving abilities, lacking open-minded thinking training and interdisciplinary practices. The evolution of Chinese language and literature education from emphasizing language rhetoric to literary history is analyzed for its impact on student capability development. To effectively enhance students' creative thinking and practical problem-solving skills, the recommendation is to introduce diversified methods and interdisciplinary training in teaching, enabling students to flexibly apply literary knowledge to address real-world issues. This reform not only contributes to cultivating well-rounded professionals in the field of literature but also provides crucial support for societal and literary research advancement.
Abstract Digital media is perpetually evolving, significantly impacting the Chinese language and literature. Concurrently, the rapid pace of modern lifestyles poses challenges to the transmission of cultural heritage within Chinese literary traditions. Accordingly, this study explores the pathways for digital innovation in Chinese literature, focusing on the integration of key virtual technologies to facilitate the cultural inheritance of the Chinese language. This research highlights the application of advanced virtual technologies in preserving and transmitting Chinese linguistic culture. It involves designing an experiential process for cultural inheritance, utilizing these technologies to process graphic and textual information pertinent to the Chinese language and literature. Furthermore, the study innovates cultural transmission methods through the synthesis of virtual 3D scenes and the implementation of human-computer interaction functionalities. An experimental evaluation approach was employed to assess the impact of virtual reality technology on the learning outcomes in Chinese literature and its cultural transmission. The findings indicate that users who interactively engage with the content in a virtual environment achieve a learning effect score that is 0.6528 points higher than those using traditional browsing methods. This underscores the enhanced efficacy of interactive experiences in facilitating the learning of Chinese literature. The regression analysis further demonstrates the significant promotional effects of the number of virtual experiences in Chinese literature (P1) and the rate of user interaction with computers (P2) on the dissemination of Chinese cultural content. The fixed and random effects for the number of virtual experiences are 0.9428 and 0.9784, respectively, while those for user interaction rates are 0.8945 and 0.8835. These results suggest a substantial impact on the broader dissemination and transmission of Chinese language literature, reinforcing the value of integrating virtual reality technologies in cultural education.
Abstract The Chinese language and literature are the treasures of Chinese culture, but as a cultural content with threshold, its inheritance and development are facing more and more severe tests in the era of artificial intelligence nowadays. The study analyzes the current difficulties in the inheritance and development of Chinese language and literature, as well as the challenges to literary creation posed by today’s booming generative artificial intelligence. Based on this, a multi-objective regression model combining multiple categories of relevant information is constructed to analyze the factors influencing the inheritance of Chinese language and literature informationization. Based on the conclusions of the regression analysis, proposals with feasible strategies for the digitization of Chinese language and literature are presented. There is a similar gender ratio among the respondents (51.57%, 48.43%). The age group is mainly concentrated in 19-40 years old, and the proportion of this age group is 50.12%. College and bachelor’s degrees and above accounted for 84.66% of educational attainment, respectively. The number of company employees is the largest, and their monthly income is mostly in the range of (500,10000). In Chinese language and literature informatization inheritance, the cumulative variance contribution rate of the four male factors, namely, social factors, own factors, government factors, and market factors, is 71.589%, which explains a total of 71.589% of the total variables. Chinese language and literature informational heritage = 0.235*social factors + 0.158*self factors + 0.284*government factors. The self-factor, government, and social factors have a significant effect on the inheritance of information technology.
Abstract In the Internet era, the combination of traditional Chinese culture and the teaching of Chinese language and literature has become an important topic of education reform, and exploring its innovative mode is of great significance for the inheritance of culture and the enhancement of teaching effect. The study adopts the independent cooperation mode, builds a new cultural position based on the Internet, and adds classroom practice links to enhance the teaching effect. The teaching activities are designed based on the framework of self-study before class, interaction during class, and summarization after class. In addition, this study uses fuzzy C-mean clustering and multiple regression analysis to mathematically model educational data and deeply analyze the influencing factors of teaching quality. Teaching experiments showed that the reformed teaching model significantly improved students’ performance, and the average grade of students increased by 9.6130 points compared with the traditional teaching model. In addition, multiple regression analysis revealed that course completion, learning engagement and teaching interaction significantly affected students’ performance. The results of this study are of practical significance for promoting the innovative development of teaching Chinese language and literature.