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In this paper, we present our approach to automatically extracting German terminology in the domain of grammar using texts from the online information system grammis as our corpus. We analyze existing repositories of German grammatical terminology and develop Part-of-speech patterns for our extraction thereby showing the importance of unigrams in this domain. We contrast the results of the automatic extraction with a manually extracted standard. By comparing the performance of well-known statistical measures, we show how measures based on corpus comparison outperform alternative methods.
Im Rahmen einer zur Zeit stattfindenden Umgestaltung der Inhalte und der Benutzeroberfläche des Online-Portals grammis hat sich eine Projektgruppe konstituiert, die es sich zur Aufgabe gemacht hat, das am IDS vorhandene Terminologiesystem zur Grammatik des Deutschen zu überarbeiten und zu erweitern: Dies betrifft zum einen die Überarbeitung und Erweiterung des Terminologieinventars, aber auch die zugrundeliegende methodische Grundlage und technische Infrastruktur. Zum Verständnis dieses Vorhabens sollen zunächst die vorhandenen Vorarbeiten und Grundlagen vorgestellt werden.
The compilation of terminological vocabularies plays a central role in the organization and retrieval of scientific texts. Both simple keyword lists as well as sophisticated modellings of relationships between terminological concepts can make a most valuable contribution to the analysis, classification, and finding of appropriate digital documents, either on the Web or within local repositories. This seems especially true for long-established scientific fields with various theoretical and historical branches, such as linguistics, where the use of terminology within documents from different origins is sometimes far from being consistent. In this short paper, we report on the early stages of a project that aims at the re-design of an existing domain-specific KOS for grammatical content grammis. In particular, we deal with the terminological part of grammis and present the state-of-the-art of this online resource as well as the key re-design principles. Further, we propose questions regarding ramifications of the Linked Open Data and Semantic Web approaches for our re-design decisions.