The Use of Translation Tool in Efl Learning: Do Machine Translation Give Positive Impact in Language Learning?

Translation tools are commonly used for translating a text written in one language (source language) into another language (target language). They are used to help translators in translating big numbers of translation works in effective time. There are three types of translation tools being studied in the article entitled Machine Translation Tools: Tools of the Translator's Trade written by Peter Katsberg published in 2012. They are Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human Translation (or MAHT). Katsberg analyzed how each translation tool works, the naturality and approriateness of its translation and the compatibility of using it. In this digital era, translation tools are not only popular among translators but also among EFL learners. Beginning with the use of portable dictionary such as Alfalink and expanding to the more sopisticated translation tool such as Google Translate. Some novice learners usually use this translation tools in doing their task without recorrecting the translation result. This happens perhaps because they do not have enough background knowledge to evaluate the translation result. Thus, it will be better when the learners have good mastery in basic English and train them to be aware in evaluating the result from translation tools. On the other words, Human Aided Machine Translation may be the wise choice to do translation task effectively and efficiently particularly in managing the time

Language engineering - a champion for European culture

Language is key to culture. It is a direct cultural medium as well as a means of recording and providing access to non-lingual elements of culture. Language is also fundamental to a sense of cultural identity. For this reason, it is vital, in a changing Europe, that we preserve the multi-lingual character of our society in order to move successfully towards closer co-operation at a political, economic, and social level. Language engineering is the application of knowledge of language to the development of computer software which can recognise, understand, interpret, and generate human language in all its forms. The paper provides a high level view of the ‘state of the art’ in language engineering and indicates ways in which it will have a profound impact on our culture in the future. It shows how advances in language engineering are an important aid in maintaining cultural diversity in a multi-lingual European society, while enabling the development of social cohesion across cultural and national divides. It addresses issues raised by the prospect of the Multi-lingual Information Society, including education, human communication with technology and information management, as well as aspects of digital cities such as tele-presence in digital libraries, virtual art galleries and electronic museums. The paper raises the issue of language as a factor in cultural domination, showing the contribution that language engineering can make towards countering it. The paper also raises a number of controversial issues concerning the likely benefits arising from the ways in which language is likely to influence the culture of Europe

Field Composition and Development Trend of Research Hotspots of Translation Technology in China—Based on Co-word Visualization Analysis of Relevant Academic Journals from CNKI Published from 1999 to 2017

With the rapid development of computer technology and deep integration of disciplines, translation technology has gradually become an important research direction and a new focus of translation studies. In order to reveal the present situation of research on translation technology, we take the academic journals on translation technology from CNKI published between 1999 and 2017 as our data sample for analysis. The results show that the main research hotspots of translation technology cover four areas, i.e. computer-aided translation, human-computer interaction, translation technology teaching and talent training, as well as terminologies of the field. Through analysis of the current situation and existing problems in the above mentioned areas, some thoughts and prospects are put forward to provide guidance and illumination to scholars in this research field and promote further and deeper studies into the subject

Computer Aided Translation Technology Application in ESP Teaching

With the development of computer and the Internet, traditional teaching methods have been greatly challenged, so does ESP teaching. In order to cope with the new trend and the changes happened in classroom teaching and learning, teachers should turn their eyes on more effective methods especially the ones integrated with computer and the Internet technology. English for Specific purposes (ESP) has a long tradition, as a movement designed to respond to non-English majors’ needs both for academic and cross cultural communication purpose in specific scientific fields and professional settings. The purpose of ESP teaching may lay both in explaining basic language knowledge used in a particular subject and promoting the abilities to use English as a tool or a way to learn the special subject. How to teach ESP and are there any new methods can be applied into classroom teaching are remain the hot topic which have been discussed recently. Nowadays, in this information age, many scholars devote themselves to the exploration of computer aided teaching in particular subjects, and computer aided translation is of great importance in ESP teaching. It is a subject involves the basic concepts of computer-aided translation technology, helps students learn to use a variety of computer-aided translation tools, enhances their ability to engage in various kinds of language service in such a technical environment. This study explores the method of applying basic principles of computer aided translation in ESP teaching, including using searching engine or an appropriate electronic dictionary to translate a term, using proper software to construct a terminology database, using corpus to refine an academic writing and etc.. It can not only combine modern technology with traditional teaching but can also enhance the ESP learners’ ability in reading and translating, and to make them increasingly autonomous

PRACTICE OF INFORMATION TECHNOLOGY IN TRANSLATION TEACHING AT CHINESE REGIONAL UNIVERSITIES IN THE ERA OF ARTIFICIAL INTELLIGENCE

With its rapid development in recent years, artificial intelligence has been widely used in all aspects of our life, including language teaching and learning. After a review of the history of artificial intelligence technology and a discussion of the development of artificial intelligent translation at home and abroad, the article summarizes the characteristics of translation teaching at Chinese regional universities in the era of artificial intelligent and puts forward pedagogical suggestions for  Article visualizations:the reform and innovation in translation teaching

Annotation Graphs and Servers and Multi-Modal Resources: Infrastructure for Interdisciplinary Education, Research and Development

Annotation graphs and annotation servers offer infrastructure to support the analysis of human language resources in the form of time-series data such as text, audio and video. This paper outlines areas of common need among empirical linguists and computational linguists. After reviewing examples of data and tools used or under development for each of several areas, it proposes a common framework for future tool development, data annotation and resource sharing based upon annotation graphs and servers.Comment: 8 pages, 6 figure

Developing Translation Competence of Undergraduate Translation Students under Computer-aided Translation Technology

College students who major in translation often face psychological and physiological challenges that affect their learning experience. They have a particular interest in learning translation, but their level is not high; their enthusiasm for translation learning is not high, and they lack confidence. This paper divided them into control and experimental groups comprising 50 students. Before introducing computer-aided translation (CAT), students in both groups were given the same basic training, including language, translation theory, and professional knowledge, thus ensuring that both groups had similar essential competencies. The experimental group introduced CAT and provided them with the necessary training and guidance to ensure their complete understanding and familiarity with CAT technology. Regular translation tests were conducted on two groups of students, mainly examining their performance in vocabulary translation, grammar translation, and discourse cohesion. Meanwhile, feedback and discussion with the experimental group of students can help them improve the quality of their translations. Before the introduction of CAT technology, 25% of vocabulary omissions occurred, while after the introduction of CAT technology, 7% of vocabulary omissions occurred. This article contributed to the cultivation of translation competencies of undergraduate translation students