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Tool to determine authorship of anonymous documents
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OUR CORE R&D / These systems range from individual
autonomous robotic platforms to large-scale, multi-agent systems
for information management, command & control
These systems range from individual autonomous robotic platforms to large-scale, multi-agent systems for information management, command & control
At Charles River, we use natural language understanding and natural language generation to strengthen the connection between humans and computers. We develop software that reads text documents and maps them to semantic representations for automated reasoning, and we incorporate natural language processing into a wide variety of applications, including intuitive interfaces for interacting with robots and unmanned vehicles, tools for analyzing propaganda, and automated methods to predict cyberattacks.
Tool to determine authorship of anonymous documents
Using natural language processing for sentiment analysis
Supervisory HMI enabling practical autonomous robot direction
A systemic functional grammar application for design models
Avoiding malice with linguistics-inspired exploit testing
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