  In this work we study on a 2-dimensional square lattice a recent version of
the Naming Game, an agent-based model used for describing the emergence of
linguistic structures. The system is open-ended and agents can invent new words
all along the evolution of the game, picking them up from a pool characterised
by a Gaussian distribution with standard deviation $\sigma$. The model displays
a nonequilibrium phase transition at a critical point $\sigma_{c}\approx 25.6$,
which separates an absorbing consensus state from an active fragmented state
where agents continuously exchange different words. The finite-size scaling
analysis of our simulations strongly suggests that the phase transition is
discontinuous.
