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SDL Acquires Language Weaver, Affirming its Leadership in Machine Translation and Global Information Management

July 15, 2010 - SDL, the leading provider of Global Information Management solutions, today announces it has signed an agreement to acquire Language Weaver Inc. (“Language Weaver”), a pioneer in statistical machine translation. This acquisition not only delivers best-of-breed automated translation technology into SDL’s Global Information Management Platform, it does much more. Integration of secure machine translation technology into the translation supply chain at all levels will allow enterprises and governments to translate significantly larger volumes of content faster and more efficiently to meet the needs of the vast content in today’s increasingly online world. The transaction has received shareholder approval of more than 85% of Language Weaver equity ownership.

SDL is acquiring Language Weaver for a consideration of US$42.5 million (£28.2 million) in cash, subject to adjustments for closing working capital and cash positions, with target cash in the business of US$4m.

Language Weaver’s machine translation technology puts SDL firmly in place for ensuring the effective provision of secure multilingual content into the future’s digital age. The two companies have joint customers, such as Adobe, Dell, Intel and Siemens and have tightly integrated their products to support both high-quality machine translation stand alone, as in combination with human translation. Language Weaver’s customer base includes enterprises such as TripAdvisor, who use the technology to provide instant translations of community reviews of hotels and restaurants. Language Weaver’s portfolio also includes government agencies around the world.

Language Weaver is headquartered in Los Angeles, California, and operates in the United States, Europe and Japan, employing 96 staff. The company works closely with the Information Sciences Institute of the University of Southern California, a leading research institute for machine translation, to further research and enhance statistical machine translation methods through the combined parties’ scientists.

For more information on the acquisition please visit