This project explores computational modelling of Human Language Production utilizing Recurrent Neural Networks and distributed semantic representations.

It contains the code necessary to reproduce the results in:

Connectionist semantic systematicity in language production J Calvillo, H Brouwer, MW Crocker Proceedings of the 38th Annual Conference of the Cognitive Science Society (2016) https://mindmodeling.org/cogsci2016/papers/0441/paper0441.pdf

Fast and Easy: Approximating Uniform Information Density in Language Production J Calvillo Proceedings of the 39th Annual Conference of the Cognitive Science Society (2017) https://mindmodeling.org/cogsci2017/papers/0333/paper0333.pdf

Language Production Dynamics with Recurrent Neural Networks J Calvillo, M Crocker Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing (2018) http://www.aclweb.org/anthology/W18-2803