SBIR/STTR Research Award

Synthetic Language Interface Toolkit for Chat (SynChat)

Award identifier 0ca526e1f1ca645dc61c28a530acda5bfeb06cb2169ff56b54918732a86deaa7Awarding agency Department of Defense · Air Force

Award amount

$749,829

Program and phase

SBIR · Phase II

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
TIER 1 PERFORMANCE SOLUTIONS LLC
Proposal award date
2014-09-04
Contract end date
2016-12-01
UEI
SQLGQDFWBJ51
Solicitation number
2013.2
Topic code
AF131-028

Research abstract

ABSTRACT: The ability to access high-quality training anywhere and anytime continues to grow in importance due to the complex nature of operational team environments. Training simulations that use virtual agents that respond and behave like live teammates enhance training and help achieve the train as you fight objective without requiring a complete team of human participants. However, the domain-specific language and reasoning ability needed to make a virtual agent effective for training is challenging to construct. A solution is needed to simplify and accelerate the construction of natural language capable agents for training systems. Such a solution would help satisfy the overarching goal to improve the cost effectiveness of achieving the train as you fight objective when some team members are not available. TiER1 Performance Solutions is leading the SynChat: Synthetic Language Interface Toolkit for Chat research and development project. The goal is to develop a web-based suite of tools to support rapid development of agent models, and to define and implement a flexible communications interface built upon pervasive open protocols and deployed as a set of web services. This toolkit will simplify and accelerate the work of training system developers in integrating advanced language capabilities into training systems. BENEFIT: With the SynChat natural language toolkit, the U.S. Air Force will have the capability to develop and integrate natural language capabilities into training systems in a way that will be more affordable than todays development methods. More affordable development will permit the Air Force to apply these capabilities across a broader set of operational domains and allow more warfighters to benefit from these new training capabilities. The broader application of language capable constructive models will help address the training availability problem and will improve mission and combat readiness. The SynChat natural language toolkit will provide similar efficiency improvements for Army, Navy, Marine, and other non-Department of Defense government agencies.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

39 SBIR/STTR records share this UEI (2009–2024). Reported award amounts total $17,399,448. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration, Department of Homeland Security, Department of Energy

Agency intelligence

Department of Defense

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