  The differences in written text and conversational speech are substantial;
previous parsers trained on treebanked text have given very poor results on
spontaneous speech. For spoken language, the mismatch in style also extends to
prosodic cues, though it is less well understood. This paper re-examines the
use of written text in parsing speech in the context of recent advances in
neural language processing. We show that neural approaches facilitate using
written text to improve parsing of spontaneous speech, and that prosody further
improves over this state-of-the-art result. Further, we find an asymmetric
degradation from read vs. spontaneous mismatch, with spontaneous speech more
generally useful for training parsers.
