Making Translation Smarter
The era of generative artificial intelligence (AI) has arrived, and products such as the ChatGPT chatbot developed by U.S. research lab OpenAI, and Ernie Bot, Chinese tech giant Baidu’s answer to ChatGPT, are now changing the way the translation industry works. AI translation is making breakthroughs in cross-lingual comprehension, text translation and intelligent interaction. According to a recent report issued by the Translators Association of China, all translation firms surveyed now require translators to use computer-assisted translation tools.
The development of AI translation technology has greatly accelerated the progress of the industry, making the rendering of information from one language to another more efficient. The ability of AI translation systems to process mass amounts of text in a short time is a boon for businesses and other organizations with
nd a multilingual work environment. It is applied not only in text translation, but also in processing speech. For example, realtime interpretation services allow users to communicate via smartphone applications or online interpretation platforms while traveling abroad.
As technology has advanced, translation systems have become able to support the inter-translation of multiple languages. This means that users can smoothly switch from one language to another through a single platform, which has greatly facilitated international communication. Since AI translation systems have self-learning and optimization abilities, the accuracy and fluency of AI translation will continue to improve through constantly learning from new corpora and user feedback, so as to provide higher-quality services to their users.
The application of AI translation technology has not only enhanced the digital transformation of the translation industry, but also presented new challenges and opportunities for translators. With the continuous progress of technology, the synergy of machine and human translation will become a new trend in the industry, with translators needing to embrace cutting-edge technologies and improve their own skills to keep pace with advancements.
Most importantly, they should be better versed in deciphering culturally laden phrases and reading between the lines for implied meaning, tasks that AI is struggling to accomplish. They are the reviewers of AI translation and trainers of AI translation tools. In the meantime, as companies continue to invest in the research and application of AI translation technology, we can expect higher efficiency and greater convenience in the future.