Tag: machine translation (MT)
Q&A With IAMT Award of Honour Winner Mikel L. Forcada
MultiLingual spoke with Forcada about his thoughts on winning the IAMT Award of Honour as well as his view of the modern machine translation landscape.
The Evolution of Machine Translation: A Brief History and What’s Coming Next
Automated translation technologies have evolved from rules-based and statistical techniques to new approaches based on large language models — delivering increased productivity, reduced costs, and improved consistency.
Milestones in the Language Industry: A Chronological Journey
The language industry has seen many changes over the past decades, from the rise of translation management systems and neural machine translation to large language models. As the language industry continues to evolve, AI-driven innovations will lead the charge.
Seventy Years of Machine Translation
This year marks 70 years since the first public demonstration of machine translation (MT), which arguably sparked the language AI revolution that we see today. On January 7, 1954, a team from Georgetown University and IBM automatically translated 60 Russian sentences into English.
ModernMT Outperforms Generic MTs and GenAI
An independent study, led by Achim Ruopp of Polyglot Technology, evaluated Translated’s adaptive MT solution against leading public MT systems using publicly available data sets and algorithms based on commonly used metrics. ModernMT performed best across the board. GPT-4 was also tested and couldn’t match it.
Creating a Successful Career in AI Translation
Embarking on a career in AI is an exhilarating journey that demands constant growth, and technical know-how is just the beginning. Blanca Vidal shares the path that led her to a fulfilling career in AI translation and gives advice for forging a successful career of your own in the field.
Human In The Loop
- Supported by Translated -
Human In The Loop
BY JOHN TINSLEY
Translated recently released a dynamic, adaptive machine translation (MT) system that fuses advancements in AI...
Handling Executive Pressure: A Practical Guide for Localization Professionals
A trend has emerged where executives contemplate bypassing traditional translation processes and cutting budgets, swayed by the potential of Generative AI (GenAI).
The Linguistic Service Sector Between Rhetoric and Reality
It is crucial to abandon a falsely optimistic narrative often used for marketing purposes. While the linguistic sector might have a bright future, the benefits will not be evenly distributed.