Situated Learning through the Use of Language Games

Grammatical agreement is one of the most puzzling aspects found in natural language. Its acquisition requires intensive linguistic exposure and capacities to deal with outliers that break regular patterns. Other than relying on statistical methods to deal with agreement in a computational application, this paper demonstrates how agreement can be learned by artificial agents in […]

Open-ended Grounded Semantics

Sony CSL

Artificial agents trying to achieve communicative goals in situated interactions in the real-world need powerful computational systems for conceptualizing their environment. In order to provide embodied artificial systems with rich semantics reminiscent of human language complexity, agents need ways of both conceptualizing complex compositional semantic structure and actively reconstructing semantic structure, due to uncertainty and […]

Acquisition of Grammar in Autonomous Artificial Systems

Sony CSL

Over the past several decades, psycholinguists have gained countless insights into the process of child language acquisition. Can these findings be used for the development of language competence in autonomous artificial systems? This paper reports on our attempt to apply insights from developmental psychology in order to enable artificial systems to acquire language. We consider […]

Grammaticalization and Semantic Maps: Evidence from Artificial Language Evolution

Sony CSL

Semantic maps have offered linguists an appealing and empirically rooted methodology for describing recurrent structural patterns in language development and the multifunctionality of grammatical categories. Although some researchers argue that semantic maps are universal and given, others provide evidence that there are no fixed or universal maps. This paper takes the position that semantic maps […]