The CHORUS project is concerned with the semantic processing of natural
language utterances, i.e. determining their meaning.|
A specialty of human language understanding is the ability to deal
with missing or ambiguous information. Incomplete information is very
common in realistic situations of communication between humans;
sentences in spoken language for example might be pronounced
unprecise, they might be ambiguous or even grammatically wrong.
Humans are in most situations able
to react in an appropriate manner, even when the meaning of the
perceived utterance is not clear, or they can reconstruct the missing
information by using knowledge about the context.
Systems for natural language processing, too, have to be prepared to cope
with this kind of imperfect input.
Therefore the goal of the CHORUS project is to model this ability of
human beings on a computer.
For this purpose methods for an underspecified representation of
complex semantic information, which allow for efficient processing, are
being developed. Integration of new developements in computational
linguistics and innovative technologies from computer science, as in
particular semantic underspecification and concurrent constraint
programming, has proven to be a very effective means to this end.