This article is adapted from: Language Service Think Tank Author: Li Changshuan (Vice Dean and Professor at the School of Advanced Translation, Beijing Foreign Studies University) The development of artificial intelligence is very rapid, and the accuracy of translation is increasing, leading to concerns about whether translators will lose their jobs. Some parents even worry … Read more
This article is based on an interview with RWS Senior Solutions Architect Miklós Urbán. 1. Automatic Evaluation Metrics for Machine Translation Quality “ Evaluating the quality of machine translation is crucial for improving machine translation quality. However, what are the best metrics for measuring the quality of machine translation (MT)? There are two types of … Read more
In the information age, the rapid development of translation technologies has greatly alleviated the contradiction between traditional translation modes and the increasingly growing demand for translation. Driven by information technology and globalization, today’s translation activities have significantly transcended traditional modes, undergoing revolutionary changes in work areas, content, forms, and methods (Yang Ping, 2012:10). The translation … Read more
This article is sourced from: “Translation in China” 2022, Issue 2 Reprinted from: Translation Studies Communication Authors: Wang Yun, Taiyuan University/Beijing Normal University; Zhang Zheng, Beijing Normal University Abstract: The digital age is characterized by multidimensional human-computer interconnection, rapid iterative disruption of technology, and changes in product and service models. The translation field is also … Read more
Source | Language Spring and Autumn Current machine translation technology can be divided into two categories: one is Rich Resource NMT, which refers to language pairs with abundant bilingual corpora (such as Chinese – English); the other is Low Resource NMT, which lacks sufficient bilingual corpora (such as Chinese – Hebrew). Current machine translation has … Read more
Introduction In the era of artificial intelligence, machine translation technology is continuously updated, with large language models represented by ChatGPT disrupting traditional translation methods. While improving translation efficiency, it also raises ongoing questions regarding the roles and relationships between humans and machines. Currently, the “machine translation + post-editing” model has become a widely popular work … Read more
Machine translation technology has developed for over 80 years. The legend of the Tower of Babel is now a thing of the past; we can no longer reach the heavens. However, machine translation can help you discuss the World Cup elegantly with people all over the world, avoiding misunderstandings. 01 Machine Translation and the Legend … Read more
Popular Science Article The Past and Present of Machine Translation From the Tower of Babel to Esperanto, and now to machine translation, humanity has been trying to eliminate the barriers of language communication. The Tower of Babel fell short, Esperanto failed, where will machine translation go? Let us first review the development history of machine … Read more
1.Basic Types of Machine Translation Systems: Existing machine translation systems can be classified into three basic types based on their fundamental working principles: Rule-Based machine translation, Example-Based machine translation, and Statistical machine translation. 1.1.Rule-Based Machine Translation Systems (Rule-Based Machine Translation, RBMT): The basic working principle is based on the assumption that an infinite number of … Read more
1. Tool Introduction 1.1 Main Features ACT（Atman Cloud Translation, Atman Cloud Translation）is an online translation tool focused on the medical field, helping professionals in the pharmaceutical industry and professional translators to break free from cumbersome CAT tools, quickly improving translation speed and accuracy. The self-developed medical machine translation engine by Atman is trained on hundreds … Read more