Translation Of Text Research Articles

GENRE-BASED EDUCATIONAL TRANSLATION: MODELLING OF THE TRANSLATION PROCESS

The author addresses the problem of translation of texts of legal discourse, modelling of educational translation of a special text on the example of translation of causative vocabulary of German and English languages. Special attention in the aspect of translation training is paid to the process of analysing the source language and the target language, as well as creating a secondary text of legal subjects. The author presents the current state of research in the field of genre aspects of translation, significant in theoretical and didactic aspects. The appeal to the semantic-semiotic model of translation is associated with the allocation of referential/cognitive elements (semes) in the source text and the choice of translation language units that contain the same semes. The author also examines the concept of a situation in terms of nomination and situational (denotative) translation model. The sequence of analysing the compatibility of a lexical unit in a sentence within the framework of an educational translation includes consideration of its syntactic structure, the semantics of the components of this structure and the formation of the semantic structure of the sentence. The onomasiological approach proposed by the author includes an introduction to the structure of the event nomination, an analysis of the nomination mechanism. The main result of the presented research is its applied nature, methodological justification of the use of component analysis, semantic – semiotic model as a condition for a translation solution based on the analysis of the linguistic technique of naming situations with sentences presented in legal discourse.

ON THE ISSUE OF THE ORIGIN AND THE AUTHENTIC RUSSIAN EDITION OF THE LITERARY MONUMENT «TORMENT OF THEODORE THE RECRUIT»

This paper deals with the history of the origin of the first (synaxar) edition of the literary monument “Torment of Theodore the Recruit” from Old Rus’. The first step towards solving the issues of poetics of the lives is the genesis of the origin of the legend of the saint and the analysis of the first Russian edition of the text. For the first time, a translation of the Greek text of “Torment” into Russian has been published; a comparative analysis of the original source with its Russian edition as part of the Old Russian Prologue, a synaxar Slavic church teaching collection intended for readings at divine services, has been carried out. The article focuses on the history of the scientific study of this book. In the Greek text of “Torments” discrepancies with the Russian monument were discovered and analysed. Attention is paid to the original passages in the Russian edition, which have no analogue in the original Greek manuscript. For example, the mention of geographical objects, an inserted fragment at the beginning of the text. The article focuses on the question of the origin of the saint’s byname. An analysis of discrepancies in the Greek and Russian editions of the monument indicates that the Russian translation of “Torment of Theodore the Recruit” with the inclusion of new details and original motifs became the basis for the Russian version of the text, which had subsequently existed in many versions and copies.

Exploring Sherry Simon’s views on translation through a postmodern lens

Abstract The present study takes a postmodern approach to Sherry Simon’s views on translation, aiming to uncover the extent to which her ideas in translation studies align with postmodern thought. To this end, the works of prominent postmodern thinkers including Lyotard, Baudrillard, Derrida, Cixous, Deleuze, Guattari, and Irigaray are examined. Their postmodern claims are listed and described as scenarios. Then, Simon’s views are compared with these scenarios in quest of commonalities. The results indicate that Simon’s views on gender are indeed postmodern. Her rejection of the conventional definition of fidelity reflects a postmodern stance as it rejects rigid binary opposites. Similarly, her rejection of hierarchical structures aligns with postmodern principles. Furthermore, her advocacy for dismantling absolutes in polarity can also be considered postmodern. Finally, her view on handling texts in translation to foreground female subjectivity qualifies as a postmodern approach.

Lexical Cohesion in English-Chinese Business Translation: Human Translators Versus ChatGPT

Lexical cohesion involves the continuity of text on the level of lexis achieved through word choices; it embodies repetition, synonymy, and collocation (Halliday, 1985). This study attempts to elucidate the lexical cohesion and examine translation shifts in the English-Chinese translation of business texts. The English business texts are compared with two Chinese translations: one by human translators and the other by ChatGPT. The research is based on Halliday’s (1985) cohesion and Toury’s (2012) descriptive translation studies. The data of lexical cohesion are identified and collected manually in a parallel corpus. The analysis deals with the description of lexical cohesion and translation shifts. The research reveals that semantic meanings of the items of lexical cohesion are largely maintained in the English-Chinese business translation. Additionally, despite using translation methods like literal translation, addition, omission, and conversion in translating lexical cohesion, human translators make more translation shifts of lexical cohesion than ChatGPT.

Assessing Chinese-to-English Translation Quality – A Systemic Functional Linguistics Perspective

Translation quality assessment is an important issue in translation teaching and learning, but it has been under-researched in translation studies. Whether a translation is good or not depends largely on a translator’s ability of text analysis. Taking the translation task of TEM8 (Test for English Majors Band 8) in 2023 as an example, this paper presents a pilot project aimed at exploring a systematic way of analyzing translation errors by referring to systemic functional linguistics (SFL). In particular, the paper investigates how SFL-based text analysis of ideational meaning, interpersonal meaning and textual meaning can be used for translation teaching and learning, through comparative analyses of a set of texts, including a Chinese source text, two translation texts from TEM8 in 2023, and an AI-generated literal translation as back translation. The study finds that it is possible to identify, describe and classify translation errors in the translated texts, and more significantly, the resulting error description and classification allows translation teachers a more precise expression of the nature of poor translation or translation errors that would otherwise be simply put as “inadequate” or “awkward” translation, and students a more tangible understanding of what counts as an “excellent” translation. Following the analyses, the paper discusses the pedagogical effects of SFL-based text analysis by conducting a survey and semi-structured interviews with students. The quantitative data show that overall, students held a positive attitude towards translation, and the qualitative data analysis uncovers specific benefits and challenges experienced by the students.

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.

English Translation of Metonymy in Du Fu’s Poems

This paper studies the English translation texts of Du Fu’s poems selected from 300 Tang Poems, which were translated by Xu Yuanchong, and displays his poetry writing stages and styles clearly by learning about his life experience. This paper classifies the translation methods of metonymy adopted by the translator, Xu Yuanchong, by analyzing specific English translation texts of metonymy in Du Fu’s poems to provide translation methods regarding translating metonymy in Chinese poetry into English.

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.

TWO LATE-OTTOMAN QUASI-TRANSLATIONS OF THE QUR’AN: TIBYĀN AND MAWĀKIB Islamic Law, Printing Policies, and Readership

The historical tenses around the translation of the Qur’an have brought about transitional genres in Qur’anic exegetical literature. In the absence of contemporary Qur’an translations, the first genre to appear was “interlinear translations,” which were study books that provided disjointed translations of the words and phrases of the Qur’an’s passages but not textual translations of the passages themselves. The characteristics of a contemporary Qur’anic translation were absent from these study books, which began as fragmented works and developed into comprehensive works. The jurisprudential question of whether the Qur’an could be translated into other languages was joined by a new argument in the 8th/15th century: the Qur’an’s reproduction on printing presses. Thus, conservatism about the sacred nature of the Qur’anic text expanded from translation to publication. However, this standpoint shifted, particularly in the 11th/17th century Ottoman Turkey, as a result of the transformative impacts of modernity. First, another transitional genre of what I call ‘quasi-translations’ emerged. They were books that included translations of certain short Qur’anic commentaries written in Arabic or Persian alongside translated excerpts from other Islamic works. Two of the most popular early examples of this genre in Turkish were the Tibyān of ʿAyntābī Mehmed Efendī (d. 1110/1699) and Mawākib of Ismāʿīl Farrūkh Efendī (d. 1256/1840). Much like the broader process of Ottoman modernization itself, these works had a hybrid character: they were neither literal translations of the Qur’an nor merely translations of the short tafsīr volumes whose titles they bore; they were rather a mixture of both, offering a scope of interpretation customized according to local demands and sensibilities. Second, the barriers before the publication of the Qur’an and other Islamic books were lifted, marking a great transformation in Islamic intellectual history. This study deals with this great transformation from the perspectives of Islamic law and theology, Ottoman theo-politics, and modernity.

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.

Special Features of Tourism Text Translation from Russian into English

The active development of international tourism contributes to a steady increase in demand for high-quality translation of tourist texts explaining the importance of research on the common problems of their translation into foreign languages. The research subject is the specific features of translating tourist texts from Russian into English. The research objective is to identify the key features of tourist text translation. The article examines the stylistic features of tourism discourse texts which are the most difficult for translation from Russian into English. A definition of the international tourism discourse is given, popular types of tourist texts are listed, and common ways of translating these texts into English are pointed out: creative translation, descriptive translation and translation by searching for functional analogues. The author used the methods of generalization, content analysis, systematization of data from recent studies on this topic and comparative analysis of Russian and English tourist texts. The research novelty lies in the systematization of the works of Russian linguists devoted to the problems of translating tourist texts and in the proposed ways to eliminate possible mistakes. The key problems of translating tourist texts include underestimation of translation in tourism and translation by non-specialists often using machine translation, mistakes in translating terminology, ignoring the genre of the source text and insufficient adaptation of the translation text to the target audience of another culture. It is proposed to create new Russian-English and English-Russian dictionaries of tourist terms, train translators in special courses for translating tourist texts, providing them with knowledge of key concepts in tourism at least in their native language and experience in translating these concepts into a foreign language, and teach students majoring in linguistics to translate tourist texts. It is noted that translation methods and strategies depend on the text genre.