scholarly journals The translation task: ITCR students with no expertise in translation

Author(s):  
Yohanna Abarca Amador

As an English teacher at the Costa Rica Institute of Technology, I often see students from the Engineering and Business Administration majors struggling to understand study ma- terials and professional articles in English. Even though the students do not have any training in translation, they have to do this task in their regular classes. They usually use printed dictionaries or computer-assisted translation tools that have been designed for these purposes and that they can access. This observation led, as a result, to the interest in finding out if the students are really able to understand and translate a text from English to Spanish accurately. The translations are analyzed at the word, phrase and sentence levels to examine the comprehension level of the text and the quality of their translations.

2020 ◽  
Author(s):  
Adrián Fuentes-Luque ◽  
Alexandra Santamaría Urbieta

Computer-assisted translation tools are increasingly supplemented by the presence of machine translation (MT) in different areas and working environments, from technical translation to translation in international organizations. MT is also present in the translation of tourism texts, from brochures to food menus, websites and tourist guides. Its need or suitability for use is the subject of growing debate. This article presents a comparative analysis of tourist guides translated by a human translator and three machine translation systems. The aims are to determine a first approach to the level of quality of machine translation in tourist texts and to establish whether some tourist texts can be translated using machine translation alone or whether human participation is necessary, either for the complete translation of the text or only for post-editing tasks.


2021 ◽  
Vol 7 (Extra-C) ◽  
pp. 714-721
Author(s):  
Zulfiya Akhatovna Usmanova ◽  
Ekaterina Nikolayevna Zudilova ◽  
Pavel Alekseevich Arkatov ◽  
Nataliaya Grigorievna Vitkovskaya ◽  
Ekaterina Vladimirovna Kravets

The main specificity of the modern translation market is the translation of large volumes of technical texts and business documents in the shortest time possible. The purpose of the study is to conduct an experiment on the impact of machine translation systems (in terms of using term bases) on the efficiency of future translators. The study provides a literature review on the problem under study and presents the advantages of computer-assisted translation tools in translation practice. Based on the experimental study, the analysis of the influence of computer-assisted translation tools on the quality of written translations of student translators was carried out.


2017 ◽  
Vol 24 (1) ◽  
pp. 87-106
Author(s):  
Wiharyanto Wiharyanto

The study aims to analyze about the low graduation and certification exam training participants of the procurement of goods / services of the government and its contributing factors, and formulate a strategy of education and training and skills certification exams procurement of goods / services of the government. Collecting data using the method of study documentation, interviews, and questionnaires. Is the official source of information on the structural and functional Regional Employment Board, as well as the participants of the training and skills certification exams procurement of goods / services of the government in Magelang regency government environment. Analysis using 4 quadrant SWOT analysis, to determine the issue or strategic factors in improving the quality of education and training and skills certification exams procurement of government goods / services within the Government of Magelang regency. The results show organizer position is in quadrant I, which is supporting the growth strategy, with 3 alternative formulation strategies that improve the quality of education and training and skills certification exams procurement of government goods / services, and conducts certification examination of the procurement of government goods / services with computer assisted test system (CAT). Based on the research recommendations formulated advice to the organizing committee, namely: of prospective participants of the training and skills certification exams procurement of goods / services the government should consider the motivation of civil servants, is examinees who have attended training in the same period of the year, the need for simulation procurement of goods / services significantly, an additional allocation of training time, giving sanction to civil servants who have not passed the exam, the provision of adequate classroom space with the number of participants of each class are proportional, as well as explore the evaluation of education and training and skills certification exams procurement of goods / services for Government of participants.


Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 56
Author(s):  
Bianca Han

This paper reflects the technology-induced novelty of translation, which is perceived as a bridge between languages and cultures. We debate the extent to which the translation process maintains its specificity in the light of the new technology-enhanced working methods ensured by a large variety of Computer-Assisted Translation (CAT) and Machine Translation (MT) tools that aim to enhance the process, which includes the translation itself, the translator, the translation project manager, the linguist, the terminologist, the reviewer, and the client. This paper also hints at the topic from the perspective of the translation teacher, who needs to provide students with transversal competencies that are suitable for the digital area, supported by the ability to tackle Cloud-based translation tools, in view of Industry 4.0 requirements.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039517
Author(s):  
Gaurav Jyani ◽  
Shankar Prinja ◽  
Sitanshu Sekhar Kar ◽  
Mayur Trivedi ◽  
Binod Patro ◽  
...  

IntroductionQuality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets.Methods and analysisA cross-sectional survey using the EuroQol Group’s Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states.Ethics and disseminationThe ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India’s central HTA Agency.


2021 ◽  
Author(s):  
Tiancheng Yang ◽  
Shah Nazir

Abstract With the development and advancement of information technology, artificial intelligence (AI) and machine learning (ML) are applied in every sector of life. Among these applications, music is one of them which has gained attention in the last couple of years. The music industry is revolutionized with AIbased innovative and intelligent techniques. It is very convenient for composers to compose music of high quality using these technologies. Artificial intelligence and Music (AIM) is one of the emerging fields used to generate and manage sounds for different media like the Internet, games, etc. Sounds in the games are very effective and can be made more attractive by implementing AI approaches. The quality of sounds in the game directly impacts the productivity and experience of the player. With computer-assisted technologies, the game designers can create sounds for different scenarios or situations like horror and suspense and provide gamer information. The practical and productive audio of a game can guide visually impaired people during other events in the game. For the better creation and composition of music, good quality of knowledge about musicology is essential. Due to AIM, there are a lot of intelligent and interactive tools available for the efficiency and effective learning of music. The learners can be provided with a very reliable and interactive environment based on artificial intelligence. The current study has considered presenting a detailed overview of the literature available in the area of research. The study has demonstrated literature analysis from various perspectives, which will become evidence for researchers to devise novel solutions in the field.


Author(s):  
Richard V Milani ◽  
Carl J Lavie ◽  
Daniel P Morin ◽  
Andres Rubiano

Background: Evidence from clinical trials and consensus guidelines suggest that in-hospital initiation of key therapeutics can reduce mortality and morbidity in patients admitted with acute coronary syndrome (ACS). As a result, the AHA and ACC have co-developed guideline-based “performance measures” for ACS patients, such that when every measure has been performed, the patient is considered to have achieved optimal or “perfect” care (PC). Computer-assisted decision support (CADS) is a tool that can improve quality of care and is well suited for complex algorithms governing treatment decisions. We sought to determine if CADS tailored to ACS would enhance the likelihood of achieving PC, and whether achievement of PC would translate into reduced mortality. Methods: 452 consecutive patients (mean age 68±13 years) admitted with ACS in 2009 were evaluated (unstable angina 29%, NSTEMI 61%, STEMI 10%). Physicians had the option of using either pre-printed ACS orders (standard orders) versus CADS generated orders. The CADS system utilized patient clinical data including risk scoring, to suggest specific therapeutics and drug dosing based on consensus guidelines. Endpoints were attainment of PC and 30-day mortality. Results: The 77 patients admitted using CADS generated orders were statistically similar (age, gender, ACS diagnosis, TIMI risk) to the 375 patients admitted with the standard order set. Attainment of PC was almost twice as likely when using CADS versus standard orders (84% vs. 44%, p<0.05). PC patients trended towards higher TIMI risk scores (3.2 ±1.7 vs 2.9 ±1.6, p = 0.09) but had half the 30-day mortality (2% vs 4%, p=0.05) compared to patients not achieving PC. Conclusions: Use of CADS in the setting of ACS is feasible and doubles the likelihood of attaining PC. Although patients achieving PC had higher baseline risk, their mortality was reduced by 50% compared to those not achieving PC. These data support the use of CADS in the setting of ACS to improve quality of care and subsequent outcomes.


2018 ◽  
Vol 4 ◽  
pp. 233372141878281 ◽  
Author(s):  
Esmeralda Valdivieso-Mora ◽  
Mirjana Ivanisevic ◽  
Leslie A. Shaw ◽  
Mauricio Garnier-Villarreal ◽  
Zachary D. Green ◽  
...  

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