SRI International and SYSTRAN Announce Licensing Agreement for SRI’s Language Modeling Toolkit
MENLO PARK, Calif. and Paris, FRANCE —September 23, 2009—SRI International, an independent nonprofit research and development institute, and SYSTRAN, a leading provider of language translation technologies, today announced that SYSTRAN has licensed and fully integrated SRI’s Language Modeling (SRILM) toolkit into the SYSTRAN Enterprise Server 7 product line. SYSTRAN Enterprise Server 7, released in June 2009, provides customers with a hybrid, state-of-the-art machine translation engine, which combines the strengths of rule-based and statistical machine translation, for publishable translation quality.
The SRI Language Modeling Toolkit
Under the licensing agreement, SRI is providing SYSTRAN with SRILM, its toolkit for building and applying statistical language models for applications such as speech recognition, statistical tagging and segmentation, and machine translation. The SRI Language Modeling toolkit has been under development in the SRI Speech Technology and Research (STAR) Laboratory since 1995.
"We are excited that SYSTRAN came to SRI’s STAR Laboratory when they needed a proven language modeling toolkit that has been successfully applied in research and commercial projects," said Andreas Stolcke, senior research engineer in SRI’s STAR Laboratory. "SRI is pleased to have played a role in enabling SYSTRAN’s innovative hybrid approach and we look forward to a long relationship with the company."
"SRI International is a leader in natural language processing technologies, with an excellent reputation for its language modeling toolkit," said Jean Senellart, chief scientist at SYSTRAN. "Based on SRI’s track record, they were an obvious technology partner for us in successfully introducing SYSTRAN Enterprise Server 7 to the market. Using SRILM reduced the time-to-market of our solution."
SYSTRAN Enterprise Server 7 product information can be found at: www.systransoft.com/translation-products/server/systran-enterprise-server
More on SRI's Language Modeling toolkit can be found here.
