The primary aim of this project is to investigate how construction grammars can be learned by a computational system, based on either semantically annotated corpora or communicative interactions in situated tutor-learner scenarios. If successful, the outcome of this project will constitute a major breakthrough in the field of construction grammar, as it would for the first time provide a computational model of how conventionalised form-meaning mappings (constructions) that support language comprehension and production can be constructed in a usage-based fashion. Such a model has the potential to significantly enhance the performance of a wide variety of language technology applications and meaning-based AI systems, including human-machine interfaces, question-answering systems and conversational agents. It would also be highly valuable as a methodological tool for usage-based linguistic research, as it would facilitate the automatic annotation of constructions in text corpora, and provide novel insights into the compositional and non-compositional aspects of language use.