  I describe the TreeBanker, a graphical tool for the supervised training
involved in domain customization of the disambiguation component of a speech-
or language-understanding system. The TreeBanker presents a user, who need not
be a system expert, with a range of properties that distinguish competing
analyses for an utterance and that are relatively easy to judge. This allows
training on a corpus to be completed in far less time, and with far less
expertise, than would be needed if analyses were inspected directly: it becomes
possible for a corpus of about 20,000 sentences of the complexity of those in
the ATIS corpus to be judged in around three weeks of work by a linguistically
aware non-expert.
