• 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.