Babel2 connects the implementations of our core technologies such as Fluid Construction Grammar (FCG) and Incremental Recruitment Language (IRL) with mechanisms for multi-agent interactions, robotic embodiment, cognitive processing and learning.
Fluid Construction Grammar (FCG) is a computational framework for exploring issues in construction grammar. This unification-based grammar formalism uses feature structures for representing linguistic knowledge, and it can apply the same constructions in both parsing and production. FCG also comes with a web interface for visualizing the application of constructions during language processing and the resulting structures. FCG can be used on any software platform with a running Common Lisp programming environment.
In order to provide embodied artificial systems with rich semantics reminiscent of human language complexity, agents need mechanisms for conceptualising complex compositional semantic structure. For this we have developed a computational system called Incremental Recruitment Language (IRL). In our situated language experiments with physical robotic agents, IRL is also used to bootstrap and shape the robots' grounded representations.