Udo Hahn – författare

In der aktuellen Forschung wird zunehmend deutlich, daß für "intelligente Systeme" die Fähigkeit, natürliche Sprachen zu verstehen, entscheidend ist und daß die theoretische Grundlegung eine wesentliche Voraussetzung für das maschinelle Sprachverstehen darstellt. In dem Band werden vor allem die grammatikalischen und mathematischen Grundlagen der Sprachverstehenssysteme behandelt. Außerdem werden auch kommunikationstheoretische und psycholinguistische Aspekte der Computersimulation angesprochen und die praktische Umsetzung theoretischer Resultate in Form von Grammatik-Werkzeugen. Das Buch soll die Aufmerksamkeit auf die theoretischen Aspekte der Computerlinguistik lenken und damit im deutschen Sprachraum eine Entwicklung fördern, die in der amerikanischen Wissenschaft schon vor einigen Jahren eingesetzt hat.

Die vorliegende Arbeit ist ein Beitrag zu einer formalisierten Theorie des semantischen Text-Parsing. Im Rahmen einer objektorientierten Spezifikationssprache auf der Grundlage des Aktorenmodells wird das generalisierbare Verhalten von lexikalischen Objekten in Form von Wortexperten-Prototypen, die ihrerseits aus Wortexperten-Moduln (Subexperten) zusammengesetzt sind, beschrieben. Die Spezifikation des lexikalisch verteilten Text-Parsers umfasst textuelle Bezuge, die Nominalstrukturen auf der Ebene der Textkohasion und Textkoharenz aufbauen.

Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems.With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, information and computer scientists. They do not follow a single research paradigm; rather they shed, in a complementary way, new light upon some of the most important aspects of the evolution of semantic systems.Evolution of Semantic Systems is intended for researchers in philosophy, computer science, and the natural sciences who work on the analysis or development of semantic systems, ontologies, or similar complex information structures. In the eleven chapters, they will find a broad discussion of topics ranging from underlying universal principles to representation and processing aspects to paradigmatic examples.

Complex systems in nature and society make use of information for the development of their internal organization and the control of their functional mechanisms. Alongside technical aspects of storing, transmitting and processing information, the various semantic aspects of information, such as meaning, sense, reference and function, play a decisive part in the analysis of such systems.With the aim of fostering a better understanding of semantic systems from an evolutionary and multidisciplinary perspective, this volume collects contributions by philosophers and natural scientists, linguists, information and computer scientists. They do not follow a single research paradigm; rather they shed, in a complementary way, new light upon some of the most important aspects of the evolution of semantic systems.Evolution of Semantic Systems is intended for researchers in philosophy, computer science, and the natural sciences who work on the analysis or development of semantic systems, ontologies, or similar complex information structures. In the eleven chapters, they will find a broad discussion of topics ranging from underlying universal principles to representation and processing aspects to paradigmatic examples.

Parallel processing is not only a general topic of interest for computer scientists and researchers in artificial intelligence, but it is gaining more and more attention in the community of scientists studying natural language and its processing (computational linguists, AI researchers, psychologists). The growing need to integrate large divergent bodies of knowledge in natural language processing applications, or the belief that massively parallel systems are the only ones capable of handling the complexities and subtleties of natural language, are just two examples of the reasons for this increasing interest. This volume offers 13 contributions by scientists from the fields of computer, artificial intelligence, and computational linguistics. The chapters provide an extensive introduction to the field, as well as articles that deal with both coarse-grained (symbolic) and fine-grained (connectionist) approaches. Along another axis, theoretical and methodological, as well as empirical and implementational issues are treated, and both language analysis and language generation are covered.