technology

Organizations often ask how much multilingual content AI can handle. The more important question is whether every piece of content should be handled in the same way.

In today’s interconnected economy, the difference between companies that thrive globally and those that struggle often comes down to one critical factor: how they approach language strategy and localization planning. While many organizations still rely on intuition or outdated market assumptions, forward-thinking companies are embracing a fundamentally different approach—one powered by data, precision, and strategic insight. 

As large language models (LLMs) like GPT redefine how we translate and communicate across borders, one persistent issue remains: AI still struggles with South Slavic languages — especially Croatian, Serbian, Bosnian, and Slovenian. 

In today’s digital age, the landscape of language services has undergone a dramatic transformation. With the advent of free translation tools, many wonder about the future of language service providers (LSPs). At Ciklopea, we’re not only adapting to these changes, but have evolved to offer unparalleled value in this new ecosystem.

In the fast-paced world of localization, maintaining the accuracy and quality of Translation Memories (TMs) is essential for ensuring seamless, consistent translations. As companies scale globally, the size of their TMs grows exponentially, which can lead to inconsistencies, outdated translations, and even redundant content. That’s where AI-powered TM Cleanup comes into play. This innovative solution combines the strengths of AI with prompt engineering, revolutionizing how organizations manage their TMs.

One of the most frequent questions we get from our customers relates to the tech stack that we use. This doesn’t come as a surprise to us because translation technology can significantly reduce your project costs and it directly impacts the quality of our collaboration.

One of the most frequent questions we get from our customers relates to the tech stack that we use. This doesn’t come as a surprise to us because translation technology can significantly reduce your project costs and it directly impacts the quality of our collaboration.

Machine translation. Artificial intelligence. Neural language processing. Predictive modelling. These fancy terms have been flashing everywhere over the past several years to the point when it seems that all your localization problems can be solved with a double click. As of 2021, they can’t. In this article, we will try and explain the exact role of technology in the translation/localization process in the simplest possible terms and help you understand what it really can and cannot do for you.

Editable file is one of the language industry’s magic phrases that activates certain powers such as cost/time optimization. The reason is simple – editable files can be easily imported in CAT tools and thus enable the localization teams to apply the carefully developed processes of linguistic and technical adaptation, quality control and optional DTP. Simply put – there is no localization process and reliable quality control without the CAT software and CAT software can only be used with editable files.

Here’s the basic scenario: you have the translated versions of your documents, but the translation wasn’t performed in a CAT tool and you have to build a translation memory because these documents need to be updated or changed across the languages, you want to retain the existing elements, style and terminology, and you have integrated CAT technology in your processes in the meantime. The solution is a neat piece of language engineering called translation alignment.

Every startup has essentially one advantage when compared to big companies – a clean slate and the possibility to create a unique corporate identity and write a whole new success story, without being burdened by the failures or successes of the past. Beginnings are always exciting and promising, but for these very reasons they are also risky and that is why the examples of big companies should not be ignored. This article features some of the translation and localization lessons every startup can learn from the big companies.

Ciklopea participated in this year’s GALA Film Fest 2014. GALA has asked its member companies to showcase their employees with a short video and to give an entertaining insight into their companies. Ciklopea has applied with the video “10th Anniversary: People – Processes – Technology – Experience“. You can watch our video on You tube. […]