We describe a part of the stimulus sentences of a German language processing ERP experiment using a context-free grammar and represent different processing preferences by its unambiguous partitions. The processing is modeled by deterministic pushdown automata. Using a theorem proven by Moore, we map these automata onto discrete time dynamical systems acting at the unit square, where the processing preferences are represented by a control parameter. The actual states of the automata are rectangles lying in the unit square that can be interpreted as cylinder sets in the context of symbolic dynamics theory. We show that applying a wrong processing preference to a certain input string leads to an unwanted invariant set in the parsers dynamics. Then, syntactic reanalysis and repair can be modeled by a switching of the control parameter — in analogy to phase transitions observed in brain dynamics. We argue that ERP components are indicators of these bifurcations and propose an ERP-like measure of the parsing model.
Historical text presents numerous challenges for contemporary natural language processing techniques. In particular, the absence of consistent orthographic conventions in historical text presents difficulties for any system requiring reference to a static lexicon accessed by orthographic form. In this paper, we present three methods for associating unknown historical word forms with synchronically active canonical cognates and evaluate their performance on an information retrieval task over a manually annotated corpus of historical German verse.
International audienceDie Kernaufgabe der Projektgruppe des DWDS besteht darin, den in den Korpora enthaltenen Wortschatz lexikographisch und korpusbasiert zu beschreiben. Es erschien uns aber von Beginn des Projekts an sinnvoll, die Daten, die die Basis dieser lexikographischen Arbeiten bilden, auch allgemein der empirischen linguistischen Forschung zum Deutschen in Geschichte und Gegenwart zur Verfügung zu stellen. Durch den Zugriff auf die durch rechtliche Vereinbarungen geklärten Teile der Wörterbuchbasis ist es somit den Benutzerinnen und Benutzern unseres Wörterbuchs jederzeit möglich, die lexikographischen Angaben in unserem Wörterbuch zu prüfen, aber auch eigene korpusbasierte Recherchen auf den verschiedenen Korpora des DWDS durchzuführen
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.