In order to translate the ethnic classics, based on the research on the Internet of things, machine learning, and translation technology of ethnic classics, the log-linear model is combined with the national corpus scale and the grammatical structure characteristics, and the phrase statistical machine translation is used to establish a discontinuous phrase extraction model. Then, the translation technology is studied from the three aspects of model definition, training, and decoding. Finally, the algorithm is compared with the traditional phrase extraction algorithm to verify its effectiveness. The results show that the extraction number of discontinuous phrase extraction model is significantly higher than that of traditional phrase extraction model, and the model can extract more phrases, handle larger and more complex text, and score higher in translation fluency. From the evaluation indexes scores of Bilingual Evaluation Understudy (B.L.E.U.) and National Institute of Standards and Technology (N.I.S.T.), it can be found that the B.L.E.U. and N.I.S.T. values of the traditional phrase extraction algorithm are lower than those of the discontinuous phrase extraction model algorithm. The discontinuous phrase extraction algorithm can not only extract the regular continuous phrase, but also obtain the discontinuous text, and the translation effect is better. In conclusion, the combination of Internet of things and machine learning can be used in the translation of ethnic classics to achieve high-quality translation of discontinuous phrases, which is of guiding significance for the study of machine translation.
In recent years, in the face of new situations and problems in society, the discourse system, academic concepts, and related research perspectives of Chinese national theory have been strongly impacted by Western thought, making the discourse mode of western national theory become the second discourse system outside the traditional Chinese national theory. In order to further promote the construction of the Chinese national discourse system in college students' mental health education systems, the study first starts with the concept of national theory and discourse system and then uses the literature method to consult the development status of the Chinese national theoretical discourse system and the mental health education of college students. The results show that students' grade is directly proportional to the satisfaction of students with mental health education, that is, with the increase of grade, students are more and more satisfied with mental health education. The attendance rates of college students, high school students, junior middle school students, and primary school students are about 98, 87, 81, and 78%, respectively. In addition, students who are willing to actively accept psychological education account for about 38% of the total number of students, those who do not refuse account for 51% of the total number of students, and those who are unwilling to accept account for 11% of the total number of students. Among these students, their acceptance of mental health education will not be affected by other factors. Furthermore, the satisfaction score of college students with mental health education is about 4.1, the satisfaction score of high school students is about 3.6, the satisfaction score of junior middle school students is about 2.9, and the satisfaction score of primary school students is about 2.1. It reveals that the degree of satisfaction with mental health education is also related to grade. While taking mental health education courses, students not only realize a comprehensive understanding of the theory of the Chinese nation, but also greatly improve their national self-confidence and psychological quality. Moreover, it also strengthened by disseminating the theoretical discourse of the Chinese nation. Therefore, the exploration is of great significance to the development of the Chinese national theoretical discourse system in the psychological education of college students.
The research focuses on the application of positive psychology theory, and studies the educational utility of national films by using deep learning (DL) algorithm. As an art form leading China's film and TV industry, national films have attracted the interest of many domestic scholars. Meanwhile, researchers have employed various science and technologies to conduct in-depth research on national films to improve film artistic levels and EDU-UTL. Accordingly, this paper comprehensively studies the EDU-UTL of national films using quality learning (Q-Learning) combined with DL algorithms and educational psychology. Then, a deep Q-Learning psychological model is proposed based on the convolutional neural network (CNN). Specifically, the CNN uses the H-hop matrix to represent each node, and each hop indicates the neighborhood information. The experiment demonstrates that CNN has a good effect on local feature acquisition, and the representation ability of the obtained nodes is also powerful. When K = 300, the psychological factor Recall of Probability Matrix Decomposition Factorization, Collaborative DL, Stack Denoising Automatic Encoder, and CNN-based deep Q-Learning algorithm is 0.35, 0.71, 0.76, and 0.78, respectively. The results suggest that CNN-based deep Q-Learning psychological model can enhance the EDU-UTL of national films and improve the efficiency of film education from the Positive Psychology perspective.
The identification and classification of professional terms of machine translation are studied in this work, to improve the accuracy and professionalism of computer aided translation (CAT) software. Firstly, the current situation and related fields of machine translation are analyzed to summarize the difficulties and shortcomings in machine translation. Secondly, the concept of term is introduced to conduct targeted research on the imbalance problem of terminology classification and recognition in machine translation. Thirdly, a term recognition model based on integrated recognition method is proposed. Finally, the classification accuracy and recall rate of the model are verified using the method of confusion matrix in experiments. The results demonstrate that in comparison of the recall rate, classification accuracy, and f value in different fields, the classification accuracy of network terms by the hybrid method combining the over-sampling method and under-sampling method is the highest of 77%, that of sports terms is the lowest of 71%, and that of economic terms is 74%. Among the recall rate, accuracy rate and f value, the recall rate is the highest, reaching more than 80%, especially for economic terms of 91%. The combination of over-sampling and under-sampling performs better than the under-sampling with playback and under-sampling without playback in terms of term recognition and classification in different fields. Through the classification results before and after integration, it is obvious that the integration of each base classifier not only effectively improves the classification accuracy of terms, but also greatly improves the recall rate. This term recognition model can help CAT software in improving the recognition accuracy of term translation, which has certain practical effects and provides reference for research in related fields.
The protection, development and utilization of the current cultural classics of Yi nationality are mainly studied. Firstly, a theoretical analysis of the Bimo and Bimo historical archives of the Yi nationality is made for grasping the concept, types, writing, inheritance, preservation and distribution of Bimo historical archives from a macro perspective; secondly, by analyzing the characteristics of Bimo historical archives of the Yi nationality and the value of its excavation and utilization to the current cultural development, the necessity of exploring and utilizing Bimo historical archives is explained; thirdly, the achievements of exploring and utilizing Bimo historical archives of the Yi nationality are introduced. In addition, a series of problems in policy, consciousness, custody and personnel in the process of Bimo's historical archives excavation and utilization are profoundly analyzed in order to suit the case. Finally, through the analysis, some suggestions have been put forward from the aspects of policies and regulations, and feasible measures for excavation and utilization have been put forward concretely at the micro level in order to better protect, rescue, develop and utilize Bimo's historical archives this precious national historical and cultural heritage. It is seen that the research will make some contributions to the sustainable and healthy development of Bimo historical archives of the Yi nationality and the development of minority culture in China.
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