As global content demands continue to grow, Machine Translation (MT) has become a complementary tool in the language industry. This is where human expertise enters the equation through Post-Editing (PE), creating a powerful synergy known as Machine Translation Post-Editing (MTPE). Let’s dive into why ISO 18587 plays such an important role in MTPE.
The localization industry has long relied on traditional methodologies to deliver first-rate translation work. But as technology continues to reshape the ways in which businesses communicate across borders, many translators are taking enthusiastic advantage of new and evolving tools to streamline their workflows and increase efficiency.
Localization projects are intricate, requiring a blend of linguistic expertise, technical know-how, and strategic vision. At the heart of successful localization efforts lies a pivotal role: the solutions architect (SA). An SA’s involvement goes far beyond initial setups, as CEO Marina Ilari explains. “SAs play a very important role in building and maintaining long-term client relationships.
The use of any technological tool requires a full understanding of its functioning and potential limitations and risks. In this blog post we will address some key ethical concerns associated with the use of AI and provide practical steps to ensure its responsible use.
The rapid advancements in artificial intelligence have significantly transformed a variety of industries. From automating repetitive tasks to streamlining complex workflows, its impact is broad and undeniable. The translation industry, in particular, felt this shift as AI-powered tools begin to shape how translation services are managed and executed.
Solutions Architects bring together the technical and cultural elements of localization as they design tailored solutions that align with both their client’s vision and the technical requirements of the process. Keep reading to learn more!
Rapid advancements in technology, particularly in AI, are shaking the foundations of nearly every sector. In the language industry, AI is transforming how language service providers approach projects and deliver value. Striking a balance between technology and human expertise has been a core focus in Terra’s daily operations. Read on to find out how we draw the best from both worlds.
AI-powered tools have become integral in various industries, and their influence is becoming more and more prominent in translation and localization. Two notable AI-driven technologies in this field are NMT and LLMs. While both are powerful tools, understanding their differences is essential as their applications, underlying architectures, and functionalities have distinct strengths and weaknesses.
Localization is an essential part of business growth and global reach. Regardless of the size of your company, proper localization ensures that your message gets across to potential customers around the world in a clear and effective manner. Keep reading for four tips on how you can streamline and optimize your translation workflow for maximum impact.
Computer Assisted Translation (CAT) tools are decisive within localization workflows. Not only do they assist linguists in their work with multiple features, such as translation memories (TMs), automation rules, built-in glossaries, and more.
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