Fundamentals of terminology work
Computer Standards & Interfaces - Special issue: German National Research Center for computer science (GMD)
Automatic discovery of technology trends from patent text
Proceedings of the 2009 ACM symposium on Applied Computing
Patent retrieval experiments in the context of the CLEF IP track 2009
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
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A corpus-based diachronic analysis of patent documents, based mainly on the morphologically productive use of certain terms can help in tracking the evolution of key developments in a rapidly e volving specialist field. The patent texts were obtained from the US Patent & Trade Marks Office's on-line service and the terms were extracted automatically from the texts. The chosen specialist field was that of fast-switching devices and systems. The method presented draws from liter ature on biblio- and sciento-metrics, information extraction, corpus linguistics, and on aspects of English morphology. This interdisciplinary fram ework shows that the evolution of word-formation closely shadows the developments in a field of technology.