After the first two issues of “Step-by-Step Guide to Using AI Translation”, I believe everyone has a preliminary understanding of how to use AI large model translation. We will continue to release a series of articles to teach everyone how to use AI translation to solve translation problems in work and study. This article focuses … Read more
Nowadays, translators’ work is completely reliant on computer-assisted translation software. However, for many translators, especially those new to the translation industry, CAT tools have many limitations. Due to the lack of effective memory and terminology databases, translators often translate sentence by sentence, which does not significantly improve translation efficiency. With the advancement of deep learning, … Read more
After the first installment of “Step-By-Step Guide to AI Translation”, I believe everyone has gained a preliminary understanding of this new service of AI large model translation. In the following articles, we will teach you how to utilize AI translation to solve translation problems in work and learning. This article focuses on teaching you how … Read more
1. Tool Introduction Fanyi Dog was launched in August 2017 and is operated by Hangzhou Qingsun Technology Co., Ltd. It supports multi-format document translation, offering a reading experience that retains the original formatting while achieving translation accuracy comparable to human translation. Additionally, Fanyi Dog provides voice translation, image translation, and web page translation. Fanyi Dog … 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
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
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
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
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