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The Evolution of AI Translation Technology

A summary of the history of innovation in the production use of leading-edge translation technology at Translated with a perspective on the emerging future in the application of LLMs in production translation

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.

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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.

Five Transparency Questions for your LSP

Transparency is a critical requirement for any Enterprise engaging a services vendor. High transparency elevates a vendor to a partner with common objectives. As the translation industry changes and evolves we see a new trend, the emergence of the Language Partner

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.