There are 43 posts filed in Technology (this is page 1 of 4).
All too often, product teams limit their user research too close to home. Conducting multilingual user research inevitably takes a backseat due to the complexities of translation. The outcome? You miss out on cultural nuances that make the fine line between an average and winning user experience as you expand globally. Fortunately, modern AI-powered research […]
With independent video game studios experiencing a renaissance in recent years, translation services can enable developers to substantially expand their player base to international audiences. While the largest triple-A studios have traditionally dominated the video game industry, a decline in quality and perceived value has pushed gamers to seek out better experiences from smaller studios. […]
In recent years, 3D printing technologies have seen remarkable advancements, making it possible for anyone to create complex objects from basic materials anywhere in the world. With this ever-improving technology, 3D printing has become a powerful and disruptive force in numerous industries, poised to cause a global shift in production dynamic structures. To reach this […]
At the forefront of AI-driven technologies, CSOFT International harnesses proprietary machine-learning tools through our innovative platform, Stepes. Our Machine Translation Post-Editing (MTPE) services are industry-leading, combining cutting-edge AI innovations with a human-centric approach to localization. The CSOFT MTPE platform is more than just a tool—it is a critical component that complements the expertise of our […]
We’ve previously written about how difficult it is to translate Japanese text using machine translation services – even Godzilla himself couldn’t overcome Google Translate – and we’ll be returning to Japan (or, at least, the collision between Japanese Media and American audiences) for our latest survey of how generative AI is impacting the world of […]
As outlined in our recent white paper “Revving for Global Growth: Navigating the Road to Success in Trucking, Transport, and Logistics Localization,” there’s a growing need for Language Service Providers (LSPs) to support innovation in this space, and we’ve noticed a variety of challenges and opportunities on the highways towards an electric and green future […]
As we have explored extensively in our recent posts on advancing language AI, the most dynamic developments in areas like NLG and NLP have tended to come via large language models (LLMs) that require massive and high-quality datasets to train, which naturally favors large companies and software groups who alone manage access to these datasets. […]
This year in language AI, we have followed many newsworthy developments in natural language processing (NLP), natural language generation (NLG), and natural language understanding (NLU), highlighting the most impressive trends and technological advancements in the process of machine learning (ML) for language-based applications. Throughout this discussion, our focus has been on the effectiveness of these […]
Modern language AI is advancing at an unprecedented pace as innovation and research drives developers to create state-of-the-art language models that continue to inch closer to natural human speech patterns and cognitive reasoning. In our ongoing discussion on language AI and natural language processing (NLP), we have discussed ways in which these technologies have expanded […]
When trying to understand the distinction between technology-driven translation solutions like machine translation (MT) and neural machine translation (NMT), it can be tempting to seek simpler analogies from beyond the realm of technology. Increasingly, though, parsing the respective advantages of these solutions requires an awareness of distinctions in machine learning and artificial intelligence that will […]
With NLP (natural language processing) dominating headlines in 2021, many might already be losing their capacity for astonishment at the ways AI is working with language. Last week, we looked at whether one of the more valuable products of machine translation – linguistic data – could have value in offsetting negative developments from new NLP […]
Like language AI, language data can be the basis for quite a range of things. Within localization, NMT (neural machine translation) and MTPE (machine translation post-editing) are the vanguard technologies for maximizing the automation of translation and other key processes involved in bringing content from one language to another. In this realm, language data-based AI […]
