통번역의 미래지평: 인공지능과 소통형 융합통번역 연구
Future Horizons of Translation & Interpretation: Artificial Intelligence and Interactive-Converged Translation & Interpretation
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In this article, we tried to describe rapidly changing landscapes of current technologies related to artificial intelligence, and how A.I. will deliver enormous impacts on the field of translation and interpretation. In addition, we illustrated basic structures of artificial intelligence, which are fundamentally identical with each other regardless of how and where it has been applied to human beings’ real life. In particular, when an artificial intelligence would be programmed to be developed for the machine translation, the deep learning process of the A.I. will be taken to translate or interpret a variety of natural languages. Besides, in this article, we tried to categorize machine translators depending on operation as follows: rule-based system, statistical based system, and neural network system. Korea has developed a rule based translation system, which was named “Genie Talk.” However, one of its weak points is first, all the basic information must be typed by human beings because it doesn't work with any super computer. Therefore, we have found that the future style of machine translation will be based on statistical data and neural network system supported by a strong super computer. In considering the future of translators and interpreters, we stated that they do not have to be afraid of any possibility that the job market for translation and interpretation would be shrunken. For the development of A.I. can be a great opportunity as well as a crisis. Turning their eyes to the new horizon, they will discover new jobs with the new fields such as many different sorts of engineering and biomedical technology, and even special area like developing machine translation for the handicapped. However, regardless of whether the translators and interpreters want or do not, the changes of translation and interpretation will be very radical in the near future. Thus, to prepare for this very soon-upcoming changes more efficiently, they must not only acquire the knowledge of translation and interpretation but also be familiar with a variety of engineering or biomedical related fields.
Abstract
In this article, we tried to describe rapidly changing landscapes of current technologies related to artificial intelligence, and how A.I. will deliver enormous impacts on the field of translation and interpretation. In addition, we illustrated basic structures of artificial intelligence, which are fundamentally identical with each other regardless of how and where it has been applied to human beings’ real life. In particular, when an artificial intelligence would be programmed to be developed for the machine translation, the deep learning process of the A.I. will be taken to translate or interpret a variety of natural languages. Besides, in this article, we tried to categorize machine translators depending on operation as follows: rule-based system, statistical based system, and neural network system. Korea has developed a rule based translation system, which was named “Genie Talk.” However, one of its weak points is first, all the basic information must be typed by human beings because it doesn't work with any super computer. Therefore, we have found that the future style of machine translation will be based on statistical data and neural network system supported by a strong super computer. In considering the future of translators and interpreters, we stated that they do not have to be afraid of any possibility that the job market for translation and interpretation would be shrunken. For the development of A.I. can be a great opportunity as well as a crisis. Turning their eyes to the new horizon, they will discover new jobs with the new fields such as many different sorts of engineering and biomedical technology, and even special area like developing machine translation for the handicapped. However, regardless of whether the translators and interpreters want or do not, the changes of translation and interpretation will be very radical in the near future. Thus, to prepare for this very soon-upcoming changes more efficiently, they must not only acquire the knowledge of translation and interpretation but also be familiar with a variety of engineering or biomedical related fields.
참고문헌 (17)
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