F. Cruz, J. Twiefel, S. Magg, C. Weber, and S. Wermter, Interactive reinforcement learning through speech guidance in a domestic scenario, 2015 International Joint Conference on Neural Networks (IJCNN), pp.1-8, 2015.
DOI : 10.1109/IJCNN.2015.7280477

X. Hinaut, M. Petit, G. Pointeau, and P. F. Dominey, Exploring the acquisition and production of grammatical constructions through human-robot interaction with echo state networks, Frontiers in Neurorobotics, vol.20, 2014.
DOI : 10.1016/j.neunet.2007.04.003

P. F. Dominey, M. Hoen, and T. Inui, A Neurolinguistic Model of Grammatical Construction Processing, Journal of Cognitive Neuroscience, vol.18, issue.12, pp.2088-2107, 2006.
DOI : 10.1016/S0010-0277(00)00063-9

M. Tomasello, Constructing a language: A usage based approach to language acquisition, 2003.

A. E. Goldberg, Constructions: A construction grammar approach to argument structure, 1995.

E. Bates, B. Wulfeck, and B. Macwhinney, Cross-linguistic research in aphasia: An overview, Brain and Language, vol.41, issue.2, pp.123-148, 1991.
DOI : 10.1016/0093-934X(91)90149-U

H. Jaeger, The " echo state " approach to analysing and training recurrent neural networks, p.34, 2001.

X. Hinaut and P. F. Dominey, Real-Time Parallel Processing of Grammatical Structure in the Fronto-Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing, PLoS ONE, vol.105, issue.2, p.52946, 2013.
DOI : 10.1371/journal.pone.0052946.s008

X. Hinaut, J. Twiefel, and S. Wermter, Recurrent Neural Network for syntax learning with flexible predicates for robotic architectures, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2016.
DOI : 10.1109/DEVLRN.2016.7846807
URL : https://hal.archives-ouvertes.fr/hal-01417697

X. Hinaut, J. Twiefel, M. Petit, P. Dominey, and S. Wermter, A recurrent neural network for multiple language acquisition: Starting with english and french, NIPS 2015 Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches, 2015.

X. Hinaut, J. Twiefel, M. B. Soares, P. Barros, L. Mici et al., Humanoidly speaking ? learning about the world and language with a humanoid friendly robot, IJCAI Video competition, 2015.

J. Twiefel, X. Hinaut, M. Borghetti, E. Strahl, and S. Wermter, Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.
DOI : 10.1109/ROMAN.2016.7745090
URL : https://hal.archives-ouvertes.fr/hal-01417706

X. Hinaut and S. Wermter, An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks, Proc. of ICANN 2014, pp.33-40, 2014.
DOI : 10.1007/978-3-319-11179-7_5

P. F. Dominey, Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning, 15] W. Maass, T. Natschläger, and H. Markram. Real-time computing without stable states: A new framework for neural computation based on perturbations, pp.265-274, 1995.
DOI : 10.1007/BF00201428

M. Rigotti, O. Barak, M. R. Warden, X. J. Wang, N. D. Daw et al., The importance of mixed selectivity in complex cognitive tasks, Nature, vol.472, issue.7451, pp.497585-590, 2013.
DOI : 10.1038/nature12160

K. Dukes, SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), p.45, 2014.
DOI : 10.3115/v1/S14-2006