We present Pro3Gres, a fast robust broad-coverage and deep-linguistic
parser that has been applied to and evaluated on unrestricted amounts of text
from unrestricted domains. We show that it is largely cognitively adequate. We
argue that Pro3Gres contributes to closing the gap between psycholinguistics and
language engineering, between probabilistic parsing and formal grammar-based
parsing, between shallow parsing and full parsing, and between deterministic
parsing and non-deterministic parsing. We also describe a successful application
of Pro3Gres for parsing research texts from the BioMedical domain.