Translation Of Text Research Articles

Politics in translating Utopia in China: a case study of Dai Liuling’s three versions

When examining the dissemination of Thomas More’s Utopia in China, it is imperative to recognize the pivotal role played by a specific translator, Dai Liuling, who facilitated an unprecedented proliferation and readership of the work in the Chinese context. Dai’s translation of Utopia exists three distinct versions: 1956, 1982, and 1997. The 1956 version represents Dai’s initial translation, which was followed by a retranslation in 1982. Due to the popularity of the 1982 version in mainland China, it was subsequently re-editioned in Taiwan in 1997, with modifications to the paratextual section. Through a meticulous analysis of these three versions, with a specific focus on the evolution of paratexts and textual translation, we can observe how Dai’s translations of Utopia were intricately influenced by the political-ideological contexts. Simultaneously, an examination of Dai’s translations can elucidate the trajectory of Utopia’s dissemination in China.

An Intelligent Algorithm for Semantic Feature Analysis and Translation of English Texts

Accurate and rapid translation is conducive to the cultural communication of different languages. This paper briefly introduces the long short-term memory (LSTM) algorithm. To enhance the performance of the LSTM algorithm, semantic features were introduced, and semantic similarity was used to screen the translations that are more in line with the semantics of the source text. Then, simulation experiments were conducted. The experiments first examined the effects of the quantity of hidden layer nodes and the type of activation function in LSTM on the translation performance. Then, the LSTM algorithm was compared with the recurrent neural network (RNN) and traditional LSTM algorithms.The proposed translation algorithm showed the best performance when there were 512 hidden layer nodes and the activation function was sigmoid, it performed better than the other two translation algorithms, and the obtained result was consistent with the semantic meaning of the source text and smooth.

Bibliometric analysis of Arabic Rhetoric in the translation and transcreation of literary texts

Bibliometric analysis of Arabic Rhetoric in the translation and transcreation of literary texts

Consistency Verification Method of Chinese and Russian Traditional Culture Translation Text Corpus Based on CNN-BiGRU

China and Russia have completely different cultural backgrounds, historical traditions and ways of thinking, which makes it difficult to directly correspond or accurately convey many culturally unique concepts, customs and expressions during the translation process. For example, some idioms, sayings or cultural symbols may have completely different meanings or no equivalents in the two cultures. Therefore, there are problems such as poor verification resulting in the consistency verification of Chinese and Russian traditional cultural external publicity translation text corpus. In order to solve this problem, this paper designs a consistency verification method for Chinese and Russian traditional cultural external publicity translation text corpus based on CNN-BiGRU. Through the part-of-speech correspondence of the Chinese and Russian traditional cultural external publicity translation text corpus, it is represented by vectors, the feature weights of the Chinese and Russian traditional cultural external publicity translation text corpus are calculated, the collocation information between the feature items is determined, and the maximum likelihood of the features is calculated using data smoothing technology. The rules are adjusted to extract the characteristics of the Chinese and Russian traditional cultural external publicity translation text corpus. Preprocess the key feature source documents of each Chinese and Russian traditional culture external publicity translation text corpus, determine the source documents and their corresponding key features of the traditional culture external publicity translation text corpus, and use TF-IDF and IDF to calculate the key feature sources of the corpus. Based on the rarity of document data, the BERT model is introduced as an encoder to determine the key features of the Chinese and Russian traditional cultural external publicity translation text corpus, integrating the CNN-BiGRU algorithm to design a consistency verification algorithm for Chinese and Russian traditional cultural external publicity translation text corpus. Set up the convolution layer, weight sharing layer, pooling layer, and BiGRU verification layer to build a CNN-BiGRU model to achieve consistency verification of the Chinese and Russian traditional cultural external publicity translation text corpus. Experimental results show that this method can improve the consistency verification effect of Chinese and Russian traditional cultural external publicity translation text corpus.

A deep learning-based intelligent method for mining sentiment words in english translation texts

Abstract The current conventional sentiment lexicon mining methods mainly achieve lexical extraction by mining the sentiment features of words, which leads to poor mining effect due to the lack of sentiment lexicon construction. In this regard, the intelligent mining method of sentiment lexicon of English translation text based on deep learning is proposed. The intelligent mining algorithm is optimized by extracting lexical templates with generality, constructing sentiment lexicon, and building convolutional network to extract lexical features. The experimental results showed that this mining method had an accuracy of over 85% in mining emotional vocabulary in translated texts, which was higher than other algorithms. Meanwhile, the mining time required for this algorithm was not yet 4.5 min. The above results indicated that the proposed method had higher accuracy and faster speed in mining emotional vocabulary in English translation texts.

Jorge L. Borges' Creative Translations of Chinese Texts

Jorge L. Borges' Creative Translations of Chinese Texts

CONTENT-BASED FILTERING CULINARY RECOMMENDATION SYSTEM USING DEEP CONVOLUTIONAL NEURAL NETWORK ON TWITTER (X)

Along with the development of technology, social media has become integral to everyday life, especially for sharing content like culinary reviews. Social media platform X (formerly Twitter) is often used for sharing culinary recommendations, but the abundance of information makes it difficult for users to find relevant suggestions. In order to improve rating prediction performance, this study suggests a recommendation system model that is more thoroughly created utilizing Content-Based Filtering (CBF) combined with Deep Convolutional Neural Network (CNN) and optimised with Particle Swarm Optimization (PSO). Data was collected from PergiKuliner and Twitter, totaling 2644 reviews and 200 cuisines. The preprocessing involved text processing, translation, and polarity assessment. Post-labeling, 7438 data were labeled with 0 and 1562 with 1. Label 0 means not recommended while label 1 means recommended. The imbalance is handled by applying the SMOTE method after observing that the fraction of data labeled 0 and 1 is 65.2%. CBF employed TF-IDF feature extraction and FastText word embedding, while Deep CNN handled classification. PSO optimisation was applied to enhance the accuracy of culinary rating predictions. The results showed an initial accuracy of 76.32% with the baseline Deep CNN model, which increased to 86.06% after Nadam optimisation with the best learning rate, and further reached 86.18% after PSO optimisation on dense units. The 9.86% accuracy improvement from the baseline model demonstrates the effectiveness of the combined methods.

Preservation of the Author’s Tonality as a Tool for Evaluating Translation Quality

Introduction. This paper examines the methodology of text analysis using phono-semantic assessment based on the “VAAL-mini” program. The study includes an analysis of the original text and its translation to identify the author's tonality and its [non]preservation in the translation. The relevance of the chosen topic is determined by the application of psycholinguistic methods in the interpretation of V.P. Belyanin and the use of quantitative text analysis methods. The novelty of the research lies in employing the domestic linguistic computer program “VAAL-mini” as a tool capable of categorizing emotional elements of the text. Methodology and sources. The methodological foundation of the research is a psycholinguistic approach to assessing the quality of translation, which justifies the significance of the author category in the interpretation and translation of fiction texts. It also allows for an examination of how translation affects the perception and emotional response of the reader, as well as how accurately the translator conveys the cognitive and emotional aspects of the original text. The primary research method proposed is a quantitative method using the computer program “VAAL-mini”, which is capable of categorizing the emotional elements of the text. The material for the study is the novel by P. Suskind “Perfume: The Story of a Murderer” and its translation into Russian by E.V. Vengerova. Results and discussion. The literature review conducted allows for tracing the current state of psycholinguistics as per Belyanin and its developmental dynamics. In accordance with the identified concept, we performed a comprehensive analysis of P. Suskind's work “Perfume: The Story of a Murderer” and its Russian translation. The results of this analysis help to gain a deeper understanding of the emotional and lexical components of the text, as well as to assess the quality of the translation. The integration of a psycholinguistic approach with modern quantitative analysis methods-using corresponding computer programs enables a more comprehensive understanding of the studied work. Conclusion. As a result of the analysis based on determining the type of text using the linguistic application VAAL-mini, findings were obtained that refuted the external (qualitative) impression of stylistic and emotional equivalence between Süskind's original text and E.V. Vengerova's translation of the novel. This result demonstrates the viability of the proposed methodology for assessing translation quality.

Ancient Text Translation Model Optimized with GujiBERT and Entropy-SkipBERT

To cope with the challenges posed by the complex linguistic structure and lexical polysemy in ancient texts, this study proposes a two-stage translation model. First, we combine GujiBERT, GCN, and LSTM to categorize ancient texts into historical and non-historical categories. This categorization lays the foundation for the subsequent translation task. To improve the efficiency of word vector generation and reduce the limitations of the traditional Word2Vec model, we integrated the entropy weight method in the hopping lattice training process and spliced the word vectors with GujiBERT. This improved method improves the efficiency of word vector generation and enhances the model’s ability to accurately represent lexical polysemy and grammatical structure in ancient documents through dependency weighting. In training the translation model, we used a different dataset for each text category, significantly improving the translation accuracy. Experimental results show that our categorization model improves the accuracy by 5% compared to GujiBERT. In contrast, the Entropy-SkipBERT improves the BLEU scores by 0.7 and 0.4 on historical and non-historical datasets. Ultimately, the proposed two-stage model improves the BLEU scores by 2.7 over the baseline model.

Readers have to work harder to understand a badly translated text: an eye-tracking study into the effects of translation errors

ABSTRACT Texts are translated to be read and provide access to otherwise inaccessible information or experiences. Scant empirical interest in how translations are read and received by readers is surprising in the context of our knowledge about the features of translations, and the systematic ways in which they differ from originally written texts. In this paper, we explore the impact of translation quality on the reading experience by analysing the cognitive effort involved in reading and text comprehension. Two groups of participants (n = 64) were eye-tracked as they read either a low-quality translation (with errors) or a high-quality translation (without errors) of the same source text. Overall, the errors contributed to longer dwell time when reading the entire text but did not significantly affect the participants’ comprehension scores. A more in-depth analysis of the impact of translation errors on the reading experience shows that it depends on the amount of confusion errors cause to the reader when building a coherent model of the entire text.

Hippology Between Indic and Persianate Textual Traditions: The Śalihotra of Gulbarga

Abstract This article looks at the translation of Indian sources on horses in the Persianate culture of South Asia. Horses were an essential tool of Muslim armies and their military hegemony in South Asia. In the regional sultanates, local rulers competed in making Indian sources on hippology available in the Persian language. This contribution focuses on the Tarjoma-ye Sālutar (The Translation of Śalihotra, 1407–8), a translation of an Indian text on hippology produced in Gulbarga for Ahmad I Shāh Vali (r. 1422–35). The Tarjoma-ye Sālutar was rendered into Persian by ʿAbdollāh b. Safi via an intermediate translation in a vernacular language made by a local scholar named Durgadāsa. The use of intermediate translations has often been considered a practice that developed at the court of the Mughal emperor Akbar (r. 1556–1605). Yet the method of translation used for the Tarjoma-ye Sālutar shows that this practice goes back to the Sultanate period. This article explores the contents of the book, including sections dealing with omens taken from horses and veterinary medicine. Furthermore, it explores the way translated materials were adapted to render them more suitable for the new Muslim readership.

Frihet under ansvar? Bibelöversättning som institutionell praktik

In this paper, I discuss the relationship between structure and agency in institutional translation. My case is a Swedish retranslation of the biblical texts commenced in 1972. Against the background of the directives issued to the translators, and through a case study of how three Old Testament texts were translated by the team, I argue that the team members bypassed certain aspects of the directives. This, however, was not primarily because they exercised their individual agency, but because they collectively related their work to the abstract institution of biblical studies, which can be conceived of as a belief system which structured the interpretation and translation of the biblical texts. The case is hereby discussed to critically assess the relationship between agency and structure, and to suggest a non-binary way of understanding the relationship between the two.

THE PLACE OF TRANSFORMATIONS IN THE TITLES OF MOVIES

The article investigates the difficulties of translation of the titles of films. It explores the features of literal translation. The paper consists of translation the names of English movies and the examples which have the greatest difficulty in translation. It analyzes lexical difficulties in translation of literary texts. Translation of such works requires special skills in the field of translation, using appropriate types of transformations, concentration, knowledge, techniques and methods of translation.

Practical course in professionally oriented interpretation: Chinese language in preparing senior students of non-linguistic universities for professional activities

Introduction. Author's materials - texts and exercises for the new textbook "Chinese in the field of professionally oriented interpretation" are an innovative methodological means of organizing the educational process, allowing for an effective process of teaching transformational techniques of translation from Chinese into Russian and from Russian into Chinese. The purpose of the work is to develop effective methodological materials for teaching types of consecutive interpreting and written translation activities to students of non-linguistic universities based on authentic materials and test their effectiveness with a pedagogical experiment in the framework of preparing the textbook “Practical course of professionally oriented interpretation: Chinese language” for publication. Materials and methods. The experiment took place in two non-linguistic universities: on the basis of the scientific and educational center “East-West” at the department of “International Relations and Regional Studies” of the Novosibirsk State Technical University as part of translation courses. The study involved third- and fourth-year students with basic knowledge of the Chinese language (N=70). To test the effectiveness of using materials for publishing a practice-oriented textbook, participants in the experiment worked on new materials developed by the authors. Students in the control group studied by the traditional method. The objects of control were four types of translation activities: written translation of text from Chinese into Russian; written translation from Russian into Chinese, volume; consecutive interpreting of sentences from Chinese into Russian and oral consecutive interpretation of sentences from Russian into Chinese. Data analysis was performed using Student's t-test. Research results. It was revealed that the author's materials and the sequence of exercises developed for publication in the textbook have proven their effectiveness in the formation and development of skills in various types of translation. Translation of written text from Chinese into Russian (450 characters/hour) (t=2,33; p<0,01), translation of written text from Russian into Chinese (1000 characters/hour) (t=2,69; p<0,004), consecutive interpreting of sentences from Russian into Chinese (400 characters) (t=2,60 at p<0,006). At the same time, statistical analysis of the data did not confirm the improvement in indicators for the development of skills in consecutive interpreting of sentences from Chinese into Russian (250 characters) (t=1,41; p<0,07), which can be explained by the fact that students are proficient in non-linguistic universities with translation skills at an average level by the beginning of a pedagogical experiment within the framework of a verifiable lexical and grammatical transformation of the source material. Conclusion. The obtained results can be used in developing methods for teaching translation skills using original exercises to students of non-linguistic universities.

Multi-Agent Approach to Political Discourse Translation: From Large Language Models to MAGIC-PTF System

This research addresses the automated translation of Chinese political discourse into Russian utilizing Large Language Model (LLM) optimization technologies and a multi-agent approach. The study focuses on developing the MAGIC-PTF system, which implements multi-stage text processing through the interaction of four specialized agents. The system's key component is the Style Agent, which ensures stylistic uniformity and terminological accuracy based on a specifically trained LLM. The Translator Agent performs the primary translation work and is responsible for the final text formatting. The Editor Agent conducts multi-level verification and correction of translations, considering linguistic, semantic, and cultural aspects. The Reader Agent analyzes the text from the target audience's perspective, evaluating its reception by native Russian speakers. The methodology integrates LLM optimization technologies and a multi-agent approach, with experimental testing conducted on the fourth volume of "Xi Jinping: The Governance of China" and its official Russian translation. The study includes a comprehensive analysis of system effectiveness using the COMET metric and comparative testing with existing machine translation platforms. The research's scientific novelty lies in developing a methodology for applying LLMs to specialized translation tasks and creating an effective coordination mechanism for intelligent agents in the translation process. Experimental research demonstrated MAGIC-PTF's superiority over traditional machine translation systems in key parameters: terminological accuracy, stylistic consistency, and preservation of culture-specific elements in political discourse. The developed system opens new possibilities for automated translation of political discourse and can be adapted for translating other specialized text types, confirming its significance for modern translation technology development. Of particular value is the system's scalability and adaptability to various language pairs and discourse types, creating prospects for further development in automated specialized text translation. The research findings also contribute to advancing the theory and practice of LLM application in professional translation.

«Слово на погребенïи честныя жены» Симеона Полоцкого в контексте «образцовых» погребальных проповедей XVII века

The study attempts to investigate sources and the so-called “library resource” or texts that were used by Simeon Polotskij for the funeral sample sermon “Slovo ma pogrebenii chestnyia zheny” (“Sermon for the funeral of an honourable woman”) from sermon’s collection “Vecherya Dushevnaia” (“Spiritual Evening Meal”), 1683. The study confirms existed in the literature disparate observations about the significant commonality of the sources of inspiration and factual material of Simeon’s sermon collections and his poetic encyclopaedia “Vertograd mnogotsvetnyi” (“A Garden of Many Flowers”; poetry sources identified by Anthony Hippisley); in particular, that in both cases Simeon used Latin collections of annual sermons by Bavarian Jesuit Matthias Faber (1586(87)–1653). The study analyses techniques of translation and transposition of the Latin text used by Simeon; notes errors made in the process of working with Faber's sermon that distort the attribution of certain quotations; identifies cases of Simeon's use of Latin winged phrases. The analysis of genry features of Simeon’ “Slova ma pogrebenii chestnyia zheny” in the context of the funeral sample sermons for women in the Polish-Lithuanian Commonwealth, 17th C. (homiletic collections by Protestant theologian Samuel Dambrowski, 1577–1625, and Polish Jesuit Aleksander Lorencowicz, 1609–1675) showed that the preachers’ funeral sample sermons were often universal and could be used for both “women’s” and “men’s” sermons, depending on the situation.

한국에서 비인간론의 연구 동향

Nonhumanism is a discourse that critically addresses the symmetrical relationships between humans and nonhumans in the context of the multi-layered crisis faced by Modern Humans in the 21st century. Nonhumanism attributes a decisive role to nonhumans in human evolution, advocates for co-evolution with nonhumans, and further calls for a shift in perspective from human to nonhuman in contemporary discourses. Nonhumanism intersects with contemporary discourses such as affect theory, media-materialism, posthuman discourse, actor-network theory, and new materialism, and it has been steadily influencing the field of humanities and social sciences through the translation and introduction of key texts in Korea. According to the Korean Citation Index (KCI), nonhuman studies, which began in the early 2000s addressing various topics such as climate crisis, gender discrimination, infectious diseases, ecosystem pollution, disability and bodily modification, artificial intelligence, animal rights, and disgut issues, have seen rapid growth since 2015. Nonhumanism primarily consists of research in the humanities and notably represents a trend of interdisciplinary research classified as 'other humanities' of KCI

An Introduction to the Difficulties in Translating Sacred Texts

Religious translation contributes significantly to the development of translation as a subject. In the field of religious translation, the most frequently translated documents are sacred texts since sacred texts are central to a religion. However, due to complicated and sensitive cultural elements sacred texts contain, the translating processes of any sacred texts are filled with difficulties. To produce more adequate translation of sacred texts, the potential difficulties are ought to be studied and understood. This article will introduce the major difficulties in translating sacred texts and, briefly discuss current methods utilized in sacred text translation, and provide suggestions. Contents will be provided in the following order: reasons for translating sacred texts (introduction), linguistic difficulties in the sacred text translation, religious issues in the sacred text translation, current translation method of the sacred text, and conclusion with suggestions on the potential methods of sacred text translation depending on a translation’s target audiences.

A Study Comparing the Advertising Language Ability of ChatGPT-4o and Kimi in the Translation Beauty Industry

This paper explores the ability of ChatGPT-4o and Kimi to translate advertising slogans for different beauty brands. Both AI tools are translated with the ICIO framework and the same background knowledge supplement. Through the comparison of the results of translation, research find out the similarities and differences between the two types of AI translation. Translation can be judged in terms of coherence, the communication of its emotion, and whether it reflects the deep. And the combination of the advantages of human translation and machine translation will provide more accurate and insightful translations in the future. By setting up questionnaires and interviews, the research can explore the similarities and differences between the two AI tools to translate specific text with more “humanized” characteristics in the future and improve the translation level of text translation. At the same time, this study still has some limitations in the selection and classification of advertising languages, and future studies can further explore the methods of translating domain-specific texts and promote the improvement of translation quality.

An Analysis of English Translation of The Book of Poetry from the Perspective of Feminist Translation Theory

The Book of Poetry is the earliest collection of poems in China, reflecting the ancient social life of 2,500 to 3,000 years ago, which is a microcosm of the society at that time, and also an important work for the study of female consciousness in the years during the Book of Poetry. Feminist translation theory is the combination of translation theory and culture, which emphasizes the translator’s intervention in the text, which is of great significance to the text translation with bright feminist color. This paper takes the translated texts of Xu Yuanchong and James Legge as the research object, makes a comparison between the two English versions of the Book of Poetry under the guidance of feminist translation theory, analyzes the embodiment of feminist consciousness in the two versions, for the purpose of exploring how feminist translators’ self-consciousness plays a specific role in translation practice, and how the two translators use the strategies in the theory to intervene the translations.