Nowadays, translators can use a large variety of CAT (Computer Assisted Translation) tools to help them work more efficiently and more accurately. There are dozens of translation tools out there. In this blog, I will evaluate two of the most popular translation tools in the industry, describe in what ways they are different, and what are their unique advantages from a translator’s point of view.
The newest Machine Translation (MT) engines have left their rules-based and statistical days behind in favor of neural technology. Because Machine Translation engines can be trained, they can evolve to suit particular projects. However, more and more customers are requesting post-editing to ensure near-human quality and consistency across projects. Here are some of the most common pitfalls a post-editor might encounter and how to solve them.
Nowadays, Health and Safety solutions are common or taken for granted in many parts of the developed world. For instance, better-lit offices, properly ventilated factories, enclosed high-security areas, and personal protective equipment (PPE), are the direct result of the efforts of many companies and experts working in the field of health and safety.
As easy, fun, and potentially helpful emojis may appear to be in quickly expressing an emotion or affirming a message, they don’t mean the same thing across the oceans – or even to folks living in the same country but of diverse cultural backgrounds.
The convenience of logging onto a piece of technology and earning a formal degree online, completing a professional certification program via the net, or learning how to bake from scratch from an on demand course is undebatable.
There has been a paradigm shift in learning methods since Artificial Intelligence (AI) makes educational material easily accessible to most people through the use of computers and smart devices. Currently, with reliable internet connections and good computers, students do not have to attend physical classes for studies. AI also automates administrative tasks to lessen time spent on completing difficult tasks, thus helping educators have adequate time with their students. Here is why AI is making such a difference in the eLearning sector.
Artificial intelligence (AI) is the creation of machines that have human-like intelligence and that can reason, learn, perceive, and interpret natural language or plan. AI examples that are common today include self-driving cars and chess-playing computers that heavily rely on natural language processing (interactions between computers and human (natural) languages) and deep learning.
It has become increasingly clear in recent years that Cleantech (Clean Technology) is the future of technology. As this industry’s products and services continue to become radically less expensive, this is a critical moment for Cleantech companies to establish a strong global presence with comprehensive, translated documentation.
When Machine Translation (MT) is implemented in a Localization workflow, the potential loss of quality in the final translated product can be a concern for all parties involved in the project. Therefore, it is important to make every effort to ensure that at the end of the project the linguistic quality does not suffer.
Translation is not a hard science. There is no single result to your linguistic equation, and while accuracy will always remain one of our primary concerns, the richness of each language allows for a great deal of flexibility. This also means that sometimes, our clients wish to send us corrections.