Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the...
A formal treatment of typed feature structures (TFSs) is developed to augment TFSs, so that negative descriptions of them can be treated. Negative descriptions of TFSs can make li...
Parsing a long sentence is very difficult, since long sentences often have conjunctions which result in ambiguities. If the conjunctive structures existing in a long sentence can ...
Communication among agents collaborating on a task often involves complex utterances about multiple actions. In this paper, we analyze two particular multiaction constructions, ut...
In machine translation (MT) dierent levels of representation can be used to translate a source language sentence onto its target language equivalent. These levels have to be relat...