
handle: 11541.2/30981
Internationalization is the primary goal of the development of education in Taiwan today. There are foreign students in almost every school in Taiwan. Although they would go to a language school for Chinese classes before coming to Taiwan, each teacher's speaking speed and accent are different, and many technical terms are not taught in a language school. This causes the efficiency of learning to be greatly reduced. However, in order to allow foreign students to understand the content of the class, the switch to teaching in English has caused local students with poor English proficiency to be unable to understand the content of the class. Similarly, in Taiwan, not every subject taken by foreign students is taught in English. The official language, Chinese, is still the main communication tool in Taiwan. In order to improve the learning effectiveness of foreign students and local students in a bilingual environment and to deal with the learning problems caused by insufficient language skills, we have proposed solutions. This solution uses voice recognition and text translation technology, through the teacher's microphone for the real-time simultaneous translation and recording of class content. The method solves the above-mentioned problems. Both foreign and local students can choose the source language and destination language at the same time for their better understanding and learning efficiency. Refereed/Peer-reviewed
human language technology, artificial intelligence, machine translation
human language technology, artificial intelligence, machine translation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
