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Technology reviews

ProMT: Machine Translation Solutions Tailored to All Types of User Environment

ProMT has recently been stepping up its marketing effort, technology resources and global visibility for its portfolio of translation tools. Grounded in a rule-based model, this strongly linguistics-driven, full-service solution is gaining customers, especially for the perceived quality of its Romance, Russian and Germanic language pairs (built on an advanced customization agenda for individual resources), and its high level of interoperability with typical user work environments, from desktops through to online services.

 

TAUS Report on Microsoft Machine Translation

TAUS Report on Microsoft Machine Translation

Microsoft's commitment to machine translation has been large-scale and sustained. The company has been involved in Natural Language Processing (NLP) research and development since 1991, specifically in Machine Translation (MT) research since 1999, and has used MT in a production environment for just over 5 years. It has pursued a strategy of pragmatic, step by step advance over the long term, building on strong in-house research in natural language processing in general, in parallel with its development work on product localization and other applications.

A Window on Microsoft's Machine Translation Experience

A Window on Microsoft's Machine Translation Experience

During 2008, Microsoft went live with its own general purpose machine translation system with a dozen language pairs. This solution is gradually being integrated into the Office environment, and may revolutionize desktop access to multilingual information for the company's huge customer base around the world. This technology rollout marks the culmination of two decades of R&D into natural language processing and MT which has rarely had much public exposure. TAUS has therefore completed a report on Microsoft's machine translation activity and it will be published for TAUS members in early 2009.

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TRANSLATION AUTOMATION TIMELINE

At TAUS we're forward-thinking. Which means we try to know our history. So explore with us the story of translation automation in the digital age. See timeline