that for N- or E-dictionaries! Indeed, this is again probably a signature of the normalization effect: the first (or first few) symbols used in the dictionary generation process will appear in the largest fraction of words. In frequency order discovery these innovation bursts occur early and relatively isolated, in random order they may well appear late and amongst a significant background. Naturally, such effects stand out more in small dictionaries, where change plays a greater role. The strong discover-order effect is also seen on fig. \[fig-chain-parscaling\], where $\DcSize$ is held fixed at $1024$, and fork probability $\pFfork$ is varied: for $\pFfork$, the early generated symbols are more dominant, and so randomness in the generation process plays a stronger role.

Blinkered: B-dictionaries
-------------------------

A Blinkered dictionary ${\mathsf{B}}^{\DcSize}_{\SySize,\pFfork}$ containing $\DcSize$ words is generated using a symbol list of length $\SySize$. It is an incremental process, based on a starting point consisting of an initial random symbol $\alpha_\circ$, and is somewhat similar to a chain dictionary, but with new symbols only arising due to forks. Each new word is added iteratively: either by (i) with probability $1-\pFfork$, one existing word is randomly chosen, a second randomly chosen existing word is appended; but is 