  A cognitively plausible parsing algorithm should perform like the human
parser in critical contexts. Here I propose an adaptation of Earley's parsing
algorithm, suitable for Phase-based Minimalist Grammars (PMG, Chesi 2012), that
is able to predict complexity effects in performance. Focusing on self-paced
reading experiments of object clefts sentences (Warren & Gibson 2005) I will
associate to parsing a complexity metric based on cued features to be retrieved
at the verb segment (Feature Retrieval & Encoding Cost, FREC). FREC is
crucially based on the usage of memory predicted by the discussed parsing
algorithm and it correctly fits with the reading time revealed.
