This Government Contract opportunity from Government of Canada was posted on July 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Technical Literature Review in Machine Translation and Terminology
Contract Overview
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The contract seeks to conduct a comprehensive literature review focused on machine translation, terminology management, and natural language processing as they apply to technical and defense documentation, with the goal of informing the development of an efficient terminology workflow. The work requires synthesizing current research, identifying best practices, and evaluating tools and methodologies that enhance accuracy, consistency, and scalability in translating highly specialized content, particularly in security-critical contexts. The findings are expected to directly support the improvement of terminology handling processes within government technical documentation systems. This subcontract is issued by the National Research Council of Canada under the Government of Canada, with a North American Industry Classification System code of 541690, indicating it relates to other scientific and technical consulting services. The opportunity is open for responses until July 30, 2026, and performance is expected to take place within the National Capital Region. The solicitation does not specify a set-aside classification or point of contact, and the award will be managed through the CanadaBuys portal, with no additional details provided on funding amounts or subcontractor eligibility criteria beyond the general classification as a subcontract.
General Info
Agency
NAICS
Place of Performance
National Capital Region (NCR), CANSet-Aside
Documents
This scope was carved out of 26-58099.
The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.
Research services in support of machine technical translation
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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