Abstract
This article discusses strategies for licensing within the framework of generative grammar as well as their application in the LPS linguistic processing system. LPS is a Linguistic programming language developed at the Institute for Linguistic Data Processing at the University of Cologne. It also is a computer system which employs this language for natural language processing, in particular for machine translation. In the introduction we give a brief sketch of formal grammar development and derive the idea of licensing from this development. We also describe the generation of structures in linguistic processing systems by means of the object-oriented linguistic programming language LPS. The third part discusses optimization strategies through the competing of variant structures evaluated by means of licensing. The concluding fourth part discusses licensing, specifically as a topic of computational linguistics with the aim of distinguishing its placement within the domain of performance or competence.1
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Rolshoven, J. (2007). Licensing Strategies in Natural Language Processing. In: Aspects of Automatic Text Analysis. Studies in Fuzziness and Soft Computing, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37522-7_14
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DOI: https://doi.org/10.1007/978-3-540-37522-7_14
Publisher Name: Springer, Berlin, Heidelberg
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