On Creative Strategies for Translating Guangxi Tourism Texts into English under the Perspective of ASEAN

Guangxi tourism texts are a kind of tool to show China's image.However,there are still lots of problems despite certain achievements in recent years in Chinese-to-English(C-E) translation of tourism texts.So,how to improve the quality of tourism materials is of great significance practically.The aim is to adopt the"Creation"Thought of Guo Moruo that emphasizes creation,charming translation,having empathy with the source language and experience,aiming at discovering proper and feasible translation standards and strategies and making it better serve for the tourism development between Guangxi and ASEAN countries.

The Organizational Patterns of English and Chinese Texts:A Contrastive Study

Thispapercontrastivelystudies,basedonthetheoreticframeworkof'topicanalysis'byvanDijkandsomeothers,theunderlyingarrangementpatternsoftopicsofEnglishandChinesetexts.TheoverallobjectiveistoexaminethediscoursepatternsofarepresentativesampleofEnglishandCh...

The Status Quo of Topics Choosing in English Majors＇ Academic Writings—— A Case Study of CUPL Junior English Majors

Academic writings, whether they are BA dissertations or semester papers, are important carriers of one＇s ideas and findings of their own study and research spheres. In academic papers, the most important part is the choice of topics which determines the macro direction of the paper. Important as it is, it is difficult for the English majors to choose the most appropriate topics with idea-invested thesis statements instead of some factual statements. Therefore, in order to make clear of the status quo and underlying obstacles of topic choosing, this paper is to study on 98 samples from China University of Political Science and Law＇s junior English majors. By observing and analyzing their writings, the paper intends to fred out some possible and accessible methods to improve English majors＇ academic writing and offer some insights for teachers to make some adjustments in accordance with the status quo.

A Case Study of Inter-sentence Conjunctions in Chinese/English Legal Parallel Texts

The present study is a contrastive study of inter-sentence conjunctions in Chinese/English legal parallel texts. Conjunction is one of the five cohesive devices put forward by Halliday and Hasan (1976). Many scholars have applied their model of cohesion to the study of English and Chinese languages. As for the use of conjunction in Chinese and English, most scholars believe that there are more cases of conjunction in the English legal texts than in the Chinese ones because it is generally considered that Chinese is predominantly paratactic and English mainly hypotactic. Besides, up to now little detailed contrastive study has been done on conjunctions in Chinese/English non-literary texts.

Chinese- English Translation of Tourist Texts from an Intercultural Perspective

The author compares Chinese and western language features in tourist texts, shares four strategies in translating Chinese tourist texts,and calls on building a corpus for Chinese-English translation of tourist texts.

Topic Evolution and Emerging Topic Analysis Based on Open Source Software

Purpose:We present an analytical,open source and flexible natural language processing and text mining method for topic evolution,emerging topic detection and research trend forecasting for all kinds of data-tagged text.Design/methodology/approach:We make full use of the functions provided by the open source VOSviewer and Microsoft Office,including a thesaurus for data clean-up and a LOOKUP function for comparative analysis.Findings:Through application and verification in the domain of perovskite solar cells research,this method proves to be effective.Research limitations:A certain amount of manual data processing and a specific research domain background are required for better,more illustrative analysis results.Adequate time for analysis is also necessary.Practical implications:We try to set up an easy,useful,and flexible interdisciplinary text analyzing procedure for researchers,especially those without solid computer programming skills or who cannot easily access complex software.This procedure can also serve as a wonderful example for teaching information literacy.Originality/value:This text analysis approach has not been reported before.

Dynamic evaluation of digital and green development policies based on text mining of the PMC framework

Aiming to identify policy topics and their evolutionary logic that enhance the digital and green development(dual development)of traditional manufacturing enterprises,address weaknesses in current policies,and provide resources for refining dual development policies,a total of 15954 dual development-related policies issued by national and various departmental authorities in China from January 2000 to August 2023 were analyzed.Based on topic modeling techniques and the policy modeling consistency(PMC)framework,the evolution of policy topics was visualized,and a dynamic assessment of the policies was conducted.The results show that the digital and green development policy framework is progressively refined,and the governance philosophy shifts from a“regulatory government”paradigm to a“service-oriented government”.The support pattern evolves from“dispersed matching”to“integrated symbiosis”.However,there are still significant deficiencies in departmental cooperation,balanced measures,coordinated links,and multi-stakeholder participation.Future policy improvements should,therefore,focus on guiding multi-stakeholder participation,enhancing public demand orientation,and addressing the entire value chain.These steps aim to create an open and shared digital industry ecosystem to promote the coordinated dual development of traditional manufacturing enterprises.

Text Analysis-Based Watermarking Approach for Tampering Detection of English Text

Due to the rapid increase in the exchange of text information via internet networks,the security and the reliability of digital content have become a major research issue.The main challenges faced by researchers are authentication,integrity verication,and tampering detection of the digital contents.In this paper,text zero-watermarking and text feature-based approach is proposed to improve the tampering detection accuracy of English text contents.The proposed approach embeds and detects the watermark logically without altering the original English text document.Based on hidden Markov model(HMM),the fourth level order of the word mechanism is used to analyze the contents of the given English text to nd the interrelationship between the contexts.The extracted features are used as watermark information and integrated with digital zero-watermarking techniques.To detect eventual tampering,the proposed approach has been implemented and validated with attacked English text.Experiments were performed using four standard datasets of varying lengths under multiple random locations of insertion,reorder,and deletion attacks.The experimental and simulation results prove the tampering detection accuracy of our method against all kinds of tampering attacks.Comparison results show that our proposed approach outperforms all the other baseline approaches in terms of tampering detection accuracy.

Enhancing BERTopic with Pre-Clustered Knowledge: Reducing Feature Sparsity in Short Text Topic Modeling

Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can substantially impair semantic capture accuracy. We propose a novel approach that incorporates pre-clustered knowledge into the BERTopic model while reducing the l2 norm for low-frequency words. Our method effectively mitigates feature sparsity during cluster mapping. Empirical evaluation on the StackOverflow dataset demonstrates that our approach outperforms baseline models, achieving superior Macro-F1 scores. These results validate the effectiveness of our proposed feature sparsity reduction technique for short-text topic modeling.

A Comparison between Chinese Topics and English Marked Theme

This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme. Part II tells different types of Chinese topics and English marked themes. Part III discusses the functions of Chinese topics and English themes. Part IV is the conclusion part.

Inheritance and Development of Three Pre-Qin Classics of Confucianism——An Application of Topic Modeling in Classical Chinese Text Analysis

The Analects, Mengzi and Xunzi are the top-three classical works of pre-Qin Confucianism, which epitomized thoughts and ideas of Confucius, Mencius and XunKuang1. There have been lots of spirited and in-depth discussions on their ideological inheritance and development from all kinds of academics. This paper tries to cast a new light on these discussions through “machine reading2”.

Topic Preferences of Turkish ELT Students and Teachers in Text Books

Materials have a fundamental role in learning a language. Text books are the key particiiaants of the materials in language instructions. In recent years many language professionals have supported language learners with a choice in their own learning process. That is, students would choose the topics according to their needs and interests. In developing reading skills in a if,reign language, degree of interest is taken as an important factor in raising motivation. This study aims to report on the preferences of Turkish ELT （English Language Teaching） students and teachers in text book topics and to raise awareness of the language teachers about the motivating aspects of topic selection in the language classroom

Extraction Algorithm of English Text Summarization for English Teaching

In order to improve the ability of sharing and scheduling capability of English teaching resources, an improved algorithm for English text summarization is proposed based on Association semantic rules. The relative features are mined among English text phrases and sentences, the semantic relevance analysis and feature extraction of keywords in English abstract are realized, the association rules differentiation for English text summarization is obtained based on information theory, related semantic roles information in English Teaching Texts is mined. Text similarity feature is taken as the maximum difference component of two semantic association rule vectors, and combining semantic similarity information, the accurate extraction of English text Abstract is realized. The simulation results show that the method can extract the text summarization accurately, it has better convergence and precision performance in the extraction process.

The Effect of TV Captions on the Comprehension of Non-Native Saudi Learners of English

This paper investigates the effectiveness of closed captioning in aiding Saudi students who are learning ESL （English as a second language）. Research was carried out in a qualitative manner, and participants were 12 Saudi students pursuing their studies at Indiana University of Pennsylvania, USA （IUP）. Participants in the study were asked to compose a narrative after viewing a 5-minute film segment, both with and without captioning. Their responses were then analyzed, and results indicated that while captions may aid one in comprehension, they also tend to limit one＇s interpretations, reaffirming the nature of written language as an authoritative source of information.

Legal English Translation from the Perspective of Skopostheorie

As any other legal language does,legal English features a wealth of complex legal concepts as well as plenty of highly and unique professional terms and complicated syntax.Proper translation of legal English texts into legal Chinese ones will throw a great social and economic impact on the society.Accordingly "accuracy" has always been regarded as the primary principle of legal English translation.However,as legal English falls within the ambit common law system and legal Chinese within the civil law system,to obtain real accuracy or even the effect of "equivalence" still remains an ideal pursuit of legal English translation standard.Having probed into Skopostheorie,which "boasts itself of one of the deconstructive translation studies"〔1〕 and focuses on the target-text's function and practicability,the author of this article finds that as to legal English translation skopos theory,in terms of text typology,offers a reasonable elucidation for a couple of translation strategies adopted in the target text.

On the Linguistic Features of Business English

Business English is an English variant used in international business activities for business purposes.This paper elaborates the linguistic features of business English from the aspects of phonetics,lexicology,syntax and text linguistics.This paper serves for helping learners and businessmen to understand business English and improve their language capacities in business practice.

Application of Text Typology Theory in Aviation English Translation

In the late 1970s,with the development of functionalist theory,an introduction of the specific functional text-type model theory was put forward.A communicative purpose of translation was proposed,changing the consideration of lower linguistic levels.This paper expounds on the theory and the translation strategies of Text Typology and discusses the translation of the principles of fighter aerial combat.The author applies the method of communicative translation and takes some specific translation methods to analyze avionics aerial combat.

The Student-Centered and Topic-Based Approach in College English Teaching

The Natural Approach has got through the debates and is proved to be helpful in foreign language teaching.Based on this,the student-centered & topic-based approach is proved to be an appropriate way in college English teaching.This paper is devoted to justifying the effectiveness of this approach in the college English classroom,and providing an organization of a typical college English class.

Fuzzy c-means text clustering based on topic concept sub-space

To improve the accuracy of text clustering, fuzzy c-means clustering based on topic concept sub-space （TCS2FCM） is introduced for classifying texts. Five evaluation functions are combined to extract key phrases. Concept phrases, as well as the descriptions of final clusters, are presented using WordNet origin from key phrases. Initial centers and membership matrix are the most important factors affecting clustering performance. Orthogonal concept topic sub-spaces are built with the topic concept phrases representing topics of the texts and the initialization of centers and the membership matrix depend on the concept vectors in sub-spaces. The results show that, different from random initialization of traditional fuzzy c-means clustering, the initialization related to text content contributions can improve clustering precision.

Study on text analysis and advanced English teaching

This paper is attempted to explore advanced English teaching from perspective of text analysis. It involves the introduction of culture background, the application of genre-based approach, the appreciation of writing style and the analysis of textual structure through sample studies.