Comparing MT System Performance The advantages of a dynamic adaptive MT system are clarified in this post. Most static MT systems need significant upfront investment to enable adaptation. ModernMT has a natural advantage since it is so easily adapted to customer domain and data.
Featured ModernMT Introduces Adaptive Quality Estimation (MTQE) As MT quality improves, MT use expands to publishing millions of words monthly to improve global customer experience. MTQE can quickly identify potential problems to focus MTPE only on the most problematic sections and quickly publish large volumes of global CX-enhancing content safely.
The Importance of User-Generated Content (UGC) and Listening to the Customer The value and impact of UGC are clear and global enterprises need to learn to leverage it across the world. This article provides an overview of the issues around making UGC global and the technology available to address it at scale.
An Overview of ModernMT V7 This post provides a summary of the improvements introduced to V7 that each provide specific benefits and all together provide a significant boost in MT output quality and expand the use of MT across many new use cases.
ModernMT Introduces Trust Attention To Boost MT Quality ModernMT introduces Trust Attention which allows an MT engine to prioritize more trustworthy data and have this data influence model behavior more heavily. These new innovations provide global enterprises with a superior platform to build highly-tuned enterprise-specific translation engines.
AI Limits The Limits of Language AI LLMs are a major advance that will add value to many language-related knowledge and clerical tasks. But there are limits to what a machine can understand so the need for a human in the loop is likely to remain, and the future is about better human-machine collaboration.
Making Generative AI Effectively Multilingual at Scale The benefits and value of revolutionary technology like GPT-4 are much greater for English speakers over other languages. T-LM is committed to widening the reach of optimized GPT technology to non-English speakers across the globe, thereby elevating user satisfaction and reducing usage expenses.
Multilingual eCommerce ModernMT Expands Language Coverage to 200 Languages The expansion of language coverage of developing economies will enable the enterprise to better address and connect with fast-growing emerging market opportunities. These are the most important commercial languages for the coming decades.
Human-in-the-loop, Adaptive MT, Responsive MT Understanding Adaptive Machine Translation A deep dive into the mechanics of dynamic adaptive MT technology which differs dramatically from static MT systems and is an agile, highly responsive, and flexible approach to making MT work for professional & enterprise use.
The Challenge of MT with Non-English Language Pairs Evidence of superior performance from MT systems built by direct modeling between languages and avoiding the use of pivoting through English
AI Singularity, Adaptive MT The March Towards AI Singularity and Why It Matters The most comprehensive backup data to document the unrelenting progress we are seeing with adaptive MT technology in production use in professional translation settings
The Emerging Localization Technology Stack The future localization tech stack is open, transparent, and allows easy movement of linguistic assets to enable digital-first global CX initiatives unlike the TMS systems of yesteryear.
Global CX Translation in the Age of CX Improving CX is a clear path to building long-term business advantage and competitive differentiation. However, it requires a commitment to dramatically increasing communication, listening, and information sharing with customers. The huge impact in content translation is explored in this post.
Multilingual eCommerce The Impact of MT on the Global eCommerce Opportunity Global eCommerce requires increasing volumes of content & user feedback to be translated to ensure the best global customer experience. This post describes best practices for the increasingly competitive global eCommerce opportunity.
MT and the Translator Translators need MT systems that have low overhead, are easy to manage, are responsive, and continuously learn. ModernMT is an evolution of TM, that is capable of making translation predictions to assist translation work.
The Human Space Beyond Language Can AI really model what humans do? How do we model emotion and feeling let alone the word with full and complete context?
Language Platform The Evolution of Machine Translation in the Enterprise The growing need for an enterprise-tuned & optimized language platform to drive global business momentum and CX
The Carbon Footprint of Machine Learning Concerns around the growing carbon footprint of AI as a potential contributor to climate change require action now. Carbon neutral is the new black.
localization MT Machine Translation for the Localization Use Case Overview of requirements for successful MT use in Localization and why it is the most difficult use case for MT
MT Quality, BLEU, hLepor Understanding MT Quality: BLEU Scores The measurement of the overall performance of a machine translation system has always been important for the MT system development community. There has always been a need to quickly understand if an MT system is improving or not during development. There is also a need to understand long-term progress. However,
Human-in-the-loop, Adaptive MT, Responsive MT The Human-In-The-Loop What is HITL and why it is crucial to the future of Machine Translation.
Neural MT, Adaptive MT, Enterprise MT Featured A Closer Look at ModernMT Story of an emerging enterprise MT powerhouse
MT Quality, BLEU, hLepor Featured Understanding Machine Translation Quality An overview of the techniques that exist today for measuring MT quality, while also dispelling common myths and misconceptions.
