English-Chinese Translation of Science and Technology Texts Based on the Differences Between Chinese and Western Modes of Thinking

As a tool for human communication,the use of language is affected by the way of thinking in cross-cultural communication.Due to the differences between Chinese and Western cultures,the way of thinking varies under the influence of such cultural differences.In the process of translation,the influence of the different thinking mode on translation activities cannot be ignored.At present,a lot of studies and researches have focused on the influence of Chinese and Western thinking mode on translation.However,it is still worthwhile to study what specific influence the difference between Chinese and Western thinking mode will exert on the translation process of science texts and what kind of measure should be taken to solve the negative influence brought by the differences when we are translating.This paper aims to discuss the influence of thinking differences between Chinese and Western countries on the process of English-Chinese translation of science and technology from the perspectives of long sentences,passive voice and nominalization,and how the translators should appropriately adjust their thinking pattern and use reasonable skills to eliminate the potential negative interference caused by the difference and achieve a better transformation between English and Chinese.

Vocabulary Gap in English-Chinese Translation

Due to the differences in living environments,customs etc.,vocabulary gap often appears in the process of English-Chinese translation.Understanding the causes of it and finding the ways to solve them are very important.

The Ethical Choice of Business English Interpreters under Chesterman’s Model of Translation Ethics

This paper explores the ethical challenges encountered by business English interpreters using Chesterman’s Model of Translation Ethics,set against the context of economic globalization and the“Belt and Road”initiative.With the increasing demand for interpreters,the paper delves into the ongoing discussion about the role of AI in translation and its limitations,especially concerning cultural subtleties and ethical issues.It highlights the importance of human interpreters’cross-cultural understanding and the ethical principles that inform their work,such as the Ethics of Representation,Service,Communication,Norm-based Ethics,and Commitment.Moreover,the paper examines how these ethical models are applied in practical business situations,including business banquets,business negotiations,business talks and business visits,etc.,and investigates the cultural misunderstandings that may occur during these interactions.The study concludes that although AI provides efficiency and cost savings,human interpreters are essential for their capacity to handle the intricacies of cross-cultural communication with cultural awareness and ethical discernment.

Towards On-line Automated Semantic Scoring of English-Chinese Translation

Described and exemplified a semantic scoring system of students' on-line English-Chinese translation. To achieve accurate assessment, the system adopted a comprehensive method which combines semantic scoring with keyword matching scoring. Four kinds of words-verbs, adjectives, adverbs and "the rest" including nouns, pronouns, idioms, prepositions, etc., are identified after parsing. The system treats different words tagged with different part of speech differently. Then it calculated the semantic similarity between these words of the standard versions and those of students' translations by the distinctive differences of the semantic features of these words with the aid of HowNet. The first semantic feature of verbs and the last semantic features of adjectives and adverbs are calculated. "The rest" is scored by keyword matching. The experiment results show that the semantic scoring system is applicable in fulfilling the task of scoring students' on-line English-Chinese translations.

An On-line Assessment System for English-Chinese Translation

On-line assessment of English-Chinese translation is a challenging task as it involves natural language processing.YanFa,an on-line assessment system for English-Chinese translation,is a pilot research project into scoring student's translation on-line.Based on the theory of translation equivalence,an algorithm called "conceptual similarity matching" was developed.YanFa can assess students' translation on-line timely,generate test papers automatically,offer standard versions of translation,and the scores of each sentence to students.The evaluation proves that YanFa is practical compared with the scores given by experts.

A Study on English-Chinese Translation of Business Contracts Based on the Functional Equivalence Theory

This study explores the translation of business English contracts from English to Chinese from the perspective of functional equivalence.The functional equivalence theory involves three aspects of functional equivalence:lexical equivalence,sentential equivalence,and textual equivalence.As far as translation is concerned,translators adopt different translation techniques for different types of texts,striving to achieve equivalence in lexical,sentential,and textual functions.Therefore,translators are to recognize the different characteristics of business English contracts and highlight English translation styles and characteristics with the help of the functional equivalence theory.

On Combining Ideological and Political Education with English-Chinese Translation Teaching

In fast-developing China,all courses in college need to take ideological and political education into teaching plan,this paper talks about the combining ideological and political education with English-Chinese translation teaching.Starting with analyzing the current situation and the necessities,this paper points out three basics for the combining:national confidence,culture confidence and keeping pace with the times.In the end,this paper points out some requirements for colleges,for departments,for teachers and for teaching methodologies.

An Analysis of English-Chinese Translation Methods and Skills of UCP600 under the Three Rules of Skopos Theory

Documentary credits play an important role in China's foreign trade settlements and UCP600 is the current international uniform customs and practice for documentary credits. This paper takes UCP600 as the analytical text and combines the three rules of Skopos Theory to analyze and summarize English-Chinese translation methods and skills of UCP600, aiming to help translators especially participated in foreign trade, to have a better understanding of E-C translation of UCP600 and give them some inspira-tions on understanding and translating texts similiar to UCP600, hence making settlements of documentary credits smoothier in Chinese foreign trade.

Incorrect Translation of Polysemy in English-Chinese Translation

It is common that translators always meet polysemy in the process of translation work. Polysemy has become a difficultpart in English-Chinese translation and there are many incorrect translations of polysemy in English-Chinese translation. In orderto resolve this translation difficult, this essay mainly analyzes the reasons of the form of polysemy and the reason causes the incor-rect translation and based on that analysis finally put forward some advice.

The Jerome Model and the Horace Model in Translation Research

In the research of translation theory,many scholars propose and construct translation models,the purpose of which is to try to describe the translating process and find out the nature of translation.This thesis mainly introduces and analyses the characteristics of the Jerome Model and the Horace Model,and try to make a comparison between these two models for studying translations,in the hope of leading to deeper recognition and research of the translation process.

Analysis on Application of Pragmatic Translation Skill Structure Model in Translation Teaching

As the core content of pragmatic translation teaching research,pragmatic translation skill is closely correlated with translation technique and operation field.Viewed from the current English teaching situation in colleges and universities,translation skill is not cultivated as an independent language competence.Moreover,its research is insufficient.On account of this,the author first gives an introduction to pragmatic translation skill and pragmatic translation skill structure model in this paper.On this basis,the author also analyzes the application of pragmatic translation skill structure model in translation teaching.

A Theoretic Study on the Translation Model from Relevance Theory

Relevance Theory holds that the language communication of human beings is an ostensive-inferential process of searching for relevance.Translation as a communication across language and culture,involves a dual process of communication among the source language author,the translator and the target language readers,during which the translator infers the communicative intention of the source language author,then by assessing the cognitive environments of the target language readers,makes the optimally relevant translation so that the translation can be equivalent in relevant aspects.

Improving Language Translation Using the Hidden Markov Model

Translation software has become an important tool for communication between different languages.People’s requirements for translation are higher and higher,mainly reflected in people’s desire for barrier free cultural exchange.With a large corpus,the performance of statistical machine translation based on words and phrases is limited due to the small size of modeling units.Previous statistical methods rely primarily on the size of corpus and number of its statistical results to avoid ambiguity in translation,ignoring context.To support the ongoing improvement of translation methods built upon deep learning,we propose a translation algorithm based on the Hidden Markov Model to improve the use of context in the process of translation.During translation,our Hidden Markov Model prediction chain selects a number of phrases with the highest result probability to form a sentence.The collection of all of the generated sentences forms a topic sequence.Using probabilities and article sequences determined from the training set,our method again applies the Hidden Markov Model to form the final translation to improve the context relevance in the process of translation.This algorithm improves the accuracy of translation,avoids the combination of invalid words,and enhances the readability and meaning of the resulting translation.

Review of Research on English Translation of Chinese Running Sentences

In order to convey complete meanings,there is a phenomenon in Chinese of using multiple running sentences.Xu Jingning(2023,p.66)states,“In communication,a complete expression of meaning often requires more than one clause,which is common in human languages.”Domestic research on running sentences includes discussions on defining the concept and structural features of running sentences,sentence properties,sentence pattern classifications and their criteria,as well as issues related to translating running sentences into English.This article primarily focuses on scholarly research into the English translation of running sentences in China,highlighting recent achievements and identifying existing issues in the study of running sentence translation.However,by reviewing literature on the translation of running sentences,it is found that current research in the academic community on non-core running sentences is limited.Therefore,this paper proposes relevant strategies to address this issue.

Cultural Model in Chinese-to-English Translation： A Case Study of Guizhou＇s Local Culture

Culture is an important component in translation. This paper reviews cultural translation researches and practices, proposes a cultural model for Chinese-to-English translation composed of inputs, filters and outputs which could be realized by a number of methods and techniques in the translating process, and finally applies the model to Chinese-to-English translation of Guizhou＇s local culture. It is argued that the cultural model is expected to draw international target text readers close to Chinese culture.

Research on high-performance English translation based on topic model

Retelling extraction is an important branch of Natural Language Processing(NLP),and high-quality retelling resources are very helpful to improve the performance of machine translation.However,traditional methods based on the bilingual parallel corpus often ignore the document background in the process of retelling acquisition and application.In order to solve this problem,we introduce topic model information into the translation mode and propose a topic-based statistical machine translation method to improve the translation performance.In this method,Probabilistic Latent Semantic Analysis(PLSA)is used to obtains the co-occurrence relationship between words and documents by the hybrid matrix decomposition.Then we design a decoder to simplify the decoding process.Experiments show that the proposed method can effectively improve the accuracy of translation.

A General Introduction of the Main Similarities and Differences between the Three Translation Models

This study focuses on the three translation models,the Jerome model,the Horace model,the Schleiermacher model.The study intends to compare the three models,there are some similarities and differences between the three models.By analyzing two kinds of the translation strategies,literal translation and free translation,this study argues that different source texts need different translation strategies.Translators should know the proper translation strategies and rich knowledge.

Improving Phrase-Based Statistical Machine Translation Models by Incorporating Syntax-Based Language Models

This paper proposed a method to incorporate syntax-based language models in phrase-based statistical machine translation (SMT) systems. The syntax-based language model used in this paper is based on link grammar,which is a high lexical formalism. In order to apply language models based on link grammar in phrase-based models,the concept of linked phrases,an extension of the concept of traditional phrases in phrase-based models was brought out. Experiments were conducted and the results showed that the use of syntax-based language models could improve the performance of the phrase-based models greatly.

Application of a Web Search Engine in Translating Business Terms in English-Chinese Dictionaries

Web search engines are important tools for lexicography.This paper takes translation of business terms("e-commerce"and"e-business")as an example to illustrate the application of web search engines in English-Chinese dictionary translation,including the methods of(1)finding the potential Chinese equivalents of the English business terms,and(2)selecting typical and proper Chinese equivalents in accordance with the frequencies and the meanings of the English business terms respectively.