Computer-assisted Translation Research Articles

Terminology management in computer-assisted translation (CAT) tools MemoQ as a case study

Today, translation is the systematic thread that brings different civilizations and cultures together and brings them closer together. In the light of the considerable and rapid advances in technology, the responsibilities of the translator or of the translation companies increase on a daily basis. This led software developers to find tools to help the translator achieve those standards and enrich the translation market with new skills to handle them. Among these tools, perhaps most noteworthy is computer-assisted translation (CAT) Tools. The present paper sheds the light on one of the most important features in computer-assisted translation (CAT) Tools that is terminology management, furthermore, by taking MemoQ application as a case study, it shows a practical guide to create and use term base within this application.

The Impacts of Computer-Assisted Translation Tools on Learning Autonomy of Students in English Translation Courses

Computer-assisted translation (CAT) tools have played an important role in professional translation work. Nevertheless, integrating CAT tools in translation training effectively has remained a conundrum in educational institutions. This research investigates the impact of CAT tools on the learning autonomy of English-majored students in translation courses. Several CAT tools were employed in the training process of 64 students majoring in English translation for 10 weeks. The Learner Autonomy Perception Questionnaire was used to collect quantitative data for pre-test and post-test. Qualitative data was also collected from 15 individual interviews. Findings reveal that the integration of CAT tools has positive impacts on components of learner autonomy, including belief about teachers’ role, metacognitive knowledge, metacognitive skills, and freedom, but it has no significant influence on motivation. Furthermore, although CAT tools facilitate opportunities to foster self-confidence, independence of learning and critical thinking skills, they may cause an over-reliance on technology and a lack of creativity and sense of ownership. Accordingly, several teaching implications are drawn in this study.

The Effectiveness of Using Computer-Assisted Translation Tools for Developing Translation Skills for EFL Learners

The Effectiveness of Using Computer-Assisted Translation Tools for Developing Translation Skills for EFL Learners

A Study on How Globalization Influences Translation Practices and the Demand for Translators in Various Industries

This study investigates the impact of globalization on translation practices and the demand for translators across various industries. Utilizing a mixed-methods research design, the study combines quantitative surveys and qualitative interviews with professional translators, translation agency managers, and industry experts. The findings reveal that technological advancements, particularly machine translation (MT) and computer-assisted translation (CAT) tools have significantly altered translation workflows, increasing efficiency while necessitating careful quality control. The demand for localization services has surged, especially in the tech industry, reflecting a broader trend towards culturally adapted content in global markets. Additionally, the study highlights a notable shift towards freelancing and remote work among translators, driven by the desire for flexibility but accompanied by challenges such as job stability and securing consistent work. Emerging challenges identified include maintaining translation quality amidst high workloads, adapting to rapidly evolving technologies, and navigating cultural differences to ensure culturally appropriate translations. Economic pressures, such as low rates and payment issues, further complicate the landscape for professional translators. These findings align with existing literature, emphasizing the need for continuous adaptation, professional development, and strategic approaches to address the dynamic and evolving nature of the translation industry in a globalized context. The study provides valuable insights into the current state of the translation industry, highlighting the importance of cultural competence, technological proficiency, and economic resilience for translators operating in a globalized world. Future research should explore the long-term impacts of these trends and the evolving role of translators in a rapidly changing global market.

Impacts of LMS Socio-Linguistic and Psychometric Factors on Students' English and Translation Proficiency and Communicative Competence: A Paradigm Shift During COVID-19 Pandemic

This quantitative study investigated the impacts of Learning Management Systems’ (LMS) socio-linguistic and psychometric factors on students' English and translation proficiency and communicative competence. The participants were enrolled at the College of Languages and Translation, Imam Mohammed Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. The results highlighted the positive experiences students had with the LMS platforms, with a notable frequency of (79.6%). Additionally, a significant percentage (86.2%) affirmed the effectiveness of these platforms in aiding them in achieving academic objectives. However, (52%) indicated that students consistently or often faced challenges when using technology. The findings highlighted improvements in various areas, including linguistic abilities (71.7%), translation skills (73.7%), social skills (62.5%), and psychometric abilities (70.3%), emphasizing the role of online environments in fostering effective communicative skills. The study also revealed the benefits of language and translation technology for students, with (84.1%) using computer-assisted translation, (82.9%) engaging in dubbing and voice translation, and (75.6%) utilizing language audio/video resources. Positive impacts on proficiency and communicative competence were evident, with frequencies of (74.4%) and (69.1%), respectively. These findings underscore the positive influence of technology on language and translation learning, emphasizing communicative approaches that enable students to develop competencies based on language socialization and real-time translation practices. The study recommends ongoing technology training for students and advocates for the use of psychometric tools embedded in LMS to encourage self-assessment and independent learning. The study's significance lies in understanding the intricate relationship between cognition, educational technology, and language and translation learning, particularly in the context of higher education.

Does Translation Technology Affect Translators' Performance? A Meta-Analysis

Translation technologies, including computer-assisted translation (CAT) tools, translation memory (TM) systems, and machine translation (MT), are increasingly utilized in professional translation workflows and training. However, the effects of these technologies on translators' performance remain inconclusive. This meta-analysis examines the overall impact of translation technologies on translator performance by synthesizing data from 12 experimental studies published between 2000 and 2023. The study investigates the effectiveness of translation technologies compared to traditional translation methods. The findings reveal a significant positive effect size, indicating that translation technologies have the potential to improve translators’ performance relative to purely human translation. The integration of advanced interactive CAT systems and post-editing MT demonstrates larger advancements compared to basic TM match retrieval. Moreover, experienced professional translators derive greater benefits from incorporating technologies than student translators, highlighting the importance of leveraging automation capabilities alongside human expertise. However, the study identifies significant heterogeneity among the studies, influenced by factors such as translation direction. Translators translating into their native language exhibit greater advancements, emphasizing the advantages of technologies that strengthen fluency in the target language.

Innovative methods for integrating translation memory and CAT tools: Enhancing intelligent support in human translation processes

This paper explores the innovative integration of Translation Memory (TM) and Computer-Assisted Translation (CAT) tools to enhance translation efficiency, consistency, and quality in multinational organizations. By adopting a user-centric interface design, modular system architecture, and cloud-based deployment, the integrated system addresses diverse translation needs while ensuring data security and privacy. Key features include real-time translation suggestions powered by machine learning algorithms, seamless access to TM databases, and real-time collaboration tools. The paper discusses implementation strategies, challenges, and solutions, highlighting the importance of user training and continuous improvement. A case study demonstrates significant improvements in translation speed, accuracy, and user satisfaction, underscoring the potential of advanced translation technologies to transform translation workflows. The findings provide valuable insights into best practices for successful implementation and optimization of TM and CAT tools in complex, large-scale environments.

La traduction, un processus évolutif vu en rétroaction par la théorie de construction de niche

Translation, an Evolving Process seen in Retroaction by Niche Construction Theory This article delves into the translation process as a complex, self-organised system, viewed through the lens of niche construction theory. It highlights three key aspects: the modification of translation’s environmental conditions, the selection pressures acting on translation as it shapes its environment, and the evolutionary responses observed within the translation process. Firstly, it underlines how translation modifies its own environmental conditions through feedback loops between translators and their practices. Drawing on the insights of Gideon Toury and Kobus Marais, this perspective portrays translation as a dynamic and retroactive system. For example, the semantic evolution of the term “translate” itself reflects the dynamic interaction between translators and their environments. This model illustrates how translation continually shapes and redefines its context, resulting in a continuously evolving discipline. Additionally, the article explores the selection pressures that impact translation, akin to natural selection, where translation serves as a cultural and linguistic vector undergoing processes of variation, adaptation, and heredity. It examines how translation adapts to changing environments while preserving knowledge. Moreover, the article examines evolutionary responses observable in the translation process, such as computer-assisted translation, machine translation, and translation memories. These examples underscore translation’s capacity for self-observation, self-organisation, and self-creation (autopoiesis), reflecting its inherent complexity and adaptability. In conclusion, the article draws parallels between the translation process and biological niche construction, particularly focusing on the feedback law. It proposes a conceptual framework for understanding the factors contributing to the translation environment, emphasizing the complexity and multiplicity inherent in translation processes. This niche construction theory provides insights into the dynamic nature of translation and its reciprocal relationship with its environment. As technology, particularly AI, advances, the translation niche may evolve into a cognitive niche, enhancing our ability to observe and control the translation process. Thus, this study advocates for an interdisciplinary approach that bridges sociological and biological perspectives, paving the way for future research in the evolving landscape of translation studies..

What makes a medical translator?

Advancements in healthcare and the rise of patient-centredness have increased workloads for professional medical translators. In parallel, new and emerging technologies are impacting translators’ output and workflows, though investigations into the medical translation domain remain scarce. This article presents the results of an international survey on 165 professional medical translators to identify trends concerning their socio-demographic and professional profiles, the textual- and process-related challenges of translating medical texts aimed at patients as laypersons, and their use of technology, specifically Computer-Assisted Translation (CAT) tools and Automatic Speech Recognition (ASR). Results show that the medical translators surveyed have decades-long experience in translation and come primarily from a linguistic background. They find specialised terminology and delivery deadlines as most challenging when translating patient-facing medical texts. Finally, most medical translators in our survey use CAT tools when translating or post-editing, although a small minority also integrate ASR tools into their workflows.

Measuring the Efficiency of Post-Edited Text Generated by CAT Tools: An Experimental Study

Motivated by the technological advancements in computer-assisted translation (CAT) tools and the notable lack of academic research regarding their application in the Arabic-translation context, this study aims to investigate the differences in translators’ performance when comparing traditional human translation and post-edited CAT tool-generated text in terms of speed and effort. This study investigates the performance of professional translators in Saudi Arabia through traditional translation from scratch (TFS) and post-editing (PE) approaches. Data was collected from nine translators with 5–12 years of experience who had exposure to CAT tools. The participants translated an Arabic educational article into English using both methods. This study utilized Phrase CAT and Translog-II software to analyze the participants’ time and keystrokes. The results indicate that PE was significantly faster than TFS, with PE requiring 65.1% less time. PE also demanded significantly fewer keystrokes, suggesting lower technical effort. Correlations between keystrokes and time indicate a strong positive relationship in PE, implying that more technical effort correlates with increased temporal effort. These findings emphasize the efficiency of PE in enhancing productivity and suggest the importance of CAT tools and PE training for translators to meet industry demands effectively. Furthermore, this study underscores the need for continuous updates in CAT tool courses and the integration of PE training to prepare translators for constantly evolving technological landscapes.

ENHANCING TRANSLATION EDUCATION WITH RATPRO: A CAT TOOLS-BASED LEARNING MODEL

The translation process greatly determines the translation results. The translated text should have the same meaning as the source text but still maintain the natural elements. A creative translation model that can help translators produce good translations that have equivalence in meaning and good grammar is essential, considering that the translation process is not just a change of language but is a process of transferring meaning from the source language to the target language (Indonesian-English). RATPro (Read, Analyze, Transfer, Produce) Translation Model that is based on Computer Assisted Translation (CAT) Tools can be used as a creative and innovative translation model that can help translation students transfer the language of scientific article manuscripts from the source language to the target language while maintaining the equivalence of meaning and naturalness of the language through excellent and correct grammar. RATPro (Read, Analyze, Transfer, Produce) Translation Model based on Computer Assisted Translation (CAT) Tools can also make it easier for students to translate because it is based on digital recording. This research aims to develop a RATPro translation model based on Computer Assisted Translation (CAT) Tools that are creative and innovative in translating scientific articles by students. The research model used is Research and Development (RnD), where research data is analyzed critically and validated to obtain valid and reliable results. The designedtranslation model will also be well used in translating authentic manuscripts in different manuscript fields.

Factors Affecting Acceptance of Cloud-Based Computer-Assisted Translation Tools Among Translation Students

Translation technology is a fundamental aspect of the translation profession. Cloud-based computer-assisted translation (CAT) tools are becoming popular among translators because of their simplicity and usability. However, studies on the factors affecting the use of cloud-based CAT tools by translators and translation students are scarce. Therefore, this study explores the factors that influence the acceptance and use of such tools among translation students using the technology acceptance model (TAM). The hypothesized model is empirically validated using a survey of 181 participants. Using structural equation modeling, data analysis suggests that translation students' intention to use cloud-based CAT tools and their perceived usefulness are key adoption factors, while actual use is less significant. The simplicity of cloud-based CAT tools is also an important consideration, particularly for translation students with limited information technology experience. The implications for tool developers and translation instructors are discussed considering these findings.

Analyze and Evaluate the Method Used as Well as the Fallout of OpenAI's Board of Directors Decision to Remove Sam Altman as CEO of the Company

Formed in December of 2015 by such leading lights as Elon Musk and Sam Altman, OpenAI has become a major player on the AI research stage. The OpenAI is committed to developing and Artist, researching investing in creating a technology beneficial for all of mankind. As such, the organization's primary visionaries are working creatively on artificial General Intelligence This latter type refers to systems which would be able perform better than humans at economically significant tasks. OpenAI and my future This study focuses on the course of this endeavor to develop artificial general intelligence, but more important than that is emphasis which Security matters the most fundamental consideration in infusing ethical principles into AI technologies is safety. The most recent in the line--GPT 3.5 -- has been offering impressive abilities related to a wide range of language processing tasks and is reflected by improvements in fields like computer-assisted translation services, automated content generation applications or even virtual assistants. Not only do the GPT models promise a transformative change for natural language processing, their announcement and reception--both within the community of artificial intelligence researchers, as well by people in various sectors of technology industry -- deserve an academic examination.

CAT Tools: The Rise of a New Era of Machine Translation or the End of the Translator?

Translation is a tool for bringing civilizations and cultures together, and in light of the tremendous and rapid progress of technologies, the work of the translator has become very difficult as he is no longer required not only quality and accuracy, but speed has become one of the most important criteria of his work as well as the need to know several disciplines and carry out research that enables him to achieve these standards, which led software developers to look for the development of programs that help the translator in his work, perhaps the most prominent of which are computer-assisted translation tools (CAT) Tools. What are the CAT tools and what impact do they have on translation field and translation quality? What are the pros and cons of translation aids? What are their types and methods of control? Is recognizing the importance of adopting those tools an abolition of the role of the translator and a reduction of his part of work?All of these questions we will try to answer through this intervention by adopting an analytical approach and a translational approach that enables us to reach practical results that serve translation in different disciplines

The Impact of Technology on Human Translators and Translation Quality: A Study on Machine Translation and Computer-Assisted Translation Tools

This paper explores the influence of technology, especially computer-assisted translation (CAT) tools, on human translators and the quality of translated texts. the development of machine translation is reviewed, including advancements in neural machine translation (NMT), and various types of CAT tools such as translation memory (TM) systems and terminology management tools. The impact of technology on human translators is analysed, highlighting their evolving role in the digital age, and the effects on translation quality is examined. The article addresses the advantages and challenges associated with technology in translation, emphasizing the need for a balanced approach that combines the strengths of technology with the expertise of human translators.

The Effect of using the Connectivist Approach on Developing Secondary Stage Students’ Cross-cultural Awareness and Translation Performance

The present study attempted to examine the effect of using the connectivist approach on developing secondary-stage students' cross-cultural awareness and translation performance. The study comprised thirty-two first-year secondary stage students enrolled in El-Jalawea Institute, Sohag Governorate. The study adopted the quasi-experimental design. Thirty-two participants were randomly assigned to one group, and they were taught through a suggested web-based program. Data were gathered and analysed using both quantitative and qualitative instruments. A pre-post online translation and cross-cultural awareness test, an online questionnaire, and a web-based training program/blog were used in the study. Findings indicated that participants showed significantly higher levels of translation performance samples in the areas of reading comprehension, writing fluency, Computer-assisted Translation (CAT) tool usage, text analysis, and terminology search. Findings also showed significantly higher levels of cross-cultural awareness in both cognitive and affective aspects compared to students' achievement before the treatment. Participants also showed evidence of transition from word-for-word to meaning-for-meaning translation. The development of the students' performance was demonstrated by multiple measures that imply that the suggested web-based program is effective for developing secondary-stage students' translation performance and cross-cultural awareness skills.

Domestic Research on Computer-Assisted Translation: Frontier Hot Spots and Evolutionary Paths

In recent years, computer-assisted translation is one of the important teaching contents in MTI majors, and the discussion of its content helps to cultivate students' translation ability. Based on the bibliometric theory and CiteSpace analysis tool, this paper systematically combed the domestic computer-assisted translation literature in the past ten years, and analyzed the knowledge mapping from the aspects of keyword co-occurrence, keyword clustering, keyword mutation, etc., in order to explore the frontier hotspots of the research in this field and its evolution path. The results show that computer-assisted translation has significant development prospects, and its research content covers a wide range and tends to be diverse. Based on the research results, this paper also makes an outlook on the further development of this field.

Enhancing CAT education: the significance of teaching the right skills in the right time

This article explores the dynamic landscape of Computer-Assisted Translation (CAT) tools, aiming to identify the key skills employed by language professionals and the essential competencies students should acquire. Employing a survey methodology, responses from a diverse pool of translators shed light on CAT tool preferences, termbase utilization, and automation practices. RWS Trados and memoQ emerge as frontrunners, underlining the versatility required in contemporary translation workflows. While over 80% adopt quality assurance features and ensure precise tag transfers, challenges persist in reusing termbases across projects.ile conversion skills, particularly.tmx conversions, prove significant for translation memory management. Automation practices such as term extraction and pretranslation reveal varied adoption, signaling opportunities for tailored education. Despite limited current usage, machine translation plug-ins and AI present strategic advantages for translators in training, with the emergence of technologies like ChatGPT anticipated to drive a surge in usage Encouragingly, the article concludes that the emergence of AI does not diminish CAT tool usage, positioning them as integral to the evolving language services landscape.

A Study of Computer-Assisted Automatic Translation Techniques and Practices for English Vocational Terminology

Abstract This paper mainly carries out a more in-depth study on the design and planning of computer-assisted translation models based on translation memory and demonstrates the new computer-assisted translation model formed in this way. The TMX specification model, combined with the actual needs, summarizes the corresponding terminology data model, introduces and summarizes the word splitting, similarity, and alignment techniques of the computer-assisted translation model, and verifies the effectiveness of the model through practical application. The study shows that the average code length of computer-aided translation is about 0.1~0.3 lower than that of human translation in specialized fields, and its performance and efficiency are better than that of human translation. The efficiency of computer-aided translation software in extracting terminology positively correlates with an increase in frequency. Computer-assisted translation plays a significant role in the professional field and provides empirical support for subsequent related research.

Optimizing Multilingual Communication with Computer-Assisted Translation Tools

Optimizing Multilingual Communication with Computer-Assisted Translation Tools