In this paper, we claim that Lindenmayer systems (L systems) –more precisely, ET0L systems– can be considered as bio-inspired multi-agent systems that, because of its inherent features, can be usefully applied to the field of natural language processing (NLP). L systems are a biologically inspired branch of the field of formal languages that provide a parallel and non-sequential grammatical formalism and that can be expressed as a multi-agent system. Taking into account these features and the benefits of the multi-agent approach to NLP, we propose to apply L systems to the description, analysis and processing of natural languages.