410 Linguistik
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Dieser Beitrag gibt einen Überblick über CoDII, die Collection of Distributionally Idiosyncratic Items. CoDII ist eine elektronische Sammlung verschiedener Untergruppen lexikalischer Elemente, die sich durch idiosynkratische Distribution auszeichnen. Das bedeutet, dass sich die Verteilung dieser Lexeme im Text nicht alleine aufgrund ihrer syntaktischen Kategorie Vorhersagen lässt. Die Methoden, die in der Entwicklung von CoDII angewandt werden, greifen über traditionelle Fachgrenzen hinaus und umfassen Korpuslinguistik, Computerlinguistik, Phraseologie und theoretische Sprachwissenschaft. Ein wichtiger Schwerpunkt unserer Diskussion liegt auf der Darstellung, inwiefern die in CoDII gesammelten, annotierten und unter anderem mit Suchwerkzeugen abfragbaren Daten dazu beitragen können, die linguistische Theoriebildung durch die Bereitstellung sorgfältig aufbereiteter Datensammlungen bei der Überprüfung ihrer Datengrundlage zu unterstützen.
Preface
(2010)
Corpora with high-quality linguistic annotations are an essential component in many NLP applications and a valuable resource for linguistic research. For obtaining these annotations, a large amount of manual effort is needed, making the creation of these resources time-consuming and costly. One attempt to speed up the annotation process is to use supervised machine-learning systems to automatically assign (possibly erroneous) labels to the data and ask human annotators to correct them where necessary. However, it is not clear to what extent these automatic pre-annotations are successful in reducing human annotation effort, and what impact they have on the quality of the resulting resource. In this article, we present the results of an experiment in which we assess the usefulness of partial semi-automatic annotation for frame labeling. We investigate the impact of automatic pre-annotation of differing quality on annotation time, consistency and accuracy. While we found no conclusive evidence that it can speed up human annotation, we found that automatic pre-annotation does increase its overall quality.
Die Ordnung des öffentlichen Diskurses der Wirtschaftskrise und die (Un-)Ordnung des Ausgeblendeten
(2011)
Perhaps the biggest challenge in derivational morphology is to reconcile morphological idiosyncrasy with semantic regularity. How can it be explained that words with dead affixes and irregulär allomorphy can nonetheless exhibit straightforward and stable semantic relations to their etymological bases (cf. strength ‘property of being strong’, obedience ‘act of obeying’, ‘property of being obedient’)? Theories based on the idea of capturing regularity in terms of synthetic rules for building up complex words out of morphemes along with rules for interpreting such structures in a compositional fashion have not made - and arguably cannot make - sense of this phenomenon. Taking the perspective of the learner in acquisition, I propose an alternative approach to meaning assignment based, not on syntagmatic relations among their constituent morphemes, but on paradigmatic relations between whole words. This approach not only explains the conditions under which meaning relations between words are expected to be stable but also accounts for another notorious mystery in derivational morphology, the frequent occurrence of total synonymy among affixes, as opposed to words.