Anaphora Resolution in Machine Translation
Susanne Preusz, Birte Schmitz, Christa Hauenschild, Carla Umbach · OpenGrey (Institut de l'Information Scientifique et Technique) · 1992
In this paper we give an overview of an approach to anaphora resolution that takes a whole variety of different factors into account. These factors concern on the one hand structural information like agreement, proximity, binding principles, subject preference, topic preference, negative preference for free adjuncts and on the other hand information about the contents of a text like conceptual consistency. This led to a twofold text representation: a structural text representation and a referential text representation. The factors are implemented as preference rules with different weights that express the influence each of the factors has in the process of anaphora resolution. For each factor a linguistic motivation as well as a formal representation of the information it works on is given. We show how we integrated the anaphora, resolution component into the existing experimental MT system