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Terminology Structuring Through the Derivational Morphology

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Advances in Natural Language Processing (FinTAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4139))

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Abstract

In this work, we address the deciphering of semantic relations between terms in order to build structured terminologies. We study particularly the contribution of morphological clues. Among linguistic operations proposed by the morphology, we analyze affixation and suppletion. We show interpretative schemata emerging from morphologically formed lexemes and corresponding terminological relations. Morphology appears to be a useful tool for the deciphering of semantic relations between terms.

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Author information

Authors and Affiliations

  1. Faculté de Médecine; Inserm, UMR_S 729; SPIM, Université Paris Descartes, 75006, Paris, France

    Natalia Grabar

  2. LIPN – UMR CNRS 7030, Université Paris-Nord, Avenue J.B. Clément, 93430, Villetaneuse, France

    Thierry Hamon

Authors
  1. Natalia Grabar
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  2. Thierry Hamon
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Editor information

Editors and Affiliations

  1. Turku Centre for Computer Science (TUCS), Department of Information Technology, University of Turku, Joukahaisenkatu 3-5 B, FIN-20520, Turku, Finland

    Tapio Salakoski

  2. Turku Centre for Computer Science (TUCS) and Department of IT, University of Turku, Lemminkäisenkatu 14 A, 20520, Turku, Finland

    Filip Ginter  & Sampo Pyysalo  & 

  3. Department of Information Technology, University of Turku, Lemminkäisenkatu 14–18 A, FIN-20520, Turku, Finland

    Tapio Pahikkala

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Grabar, N., Hamon, T. (2006). Terminology Structuring Through the Derivational Morphology. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_65

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  • DOI: https://doi.org/10.1007/11816508_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37334-6

  • Online ISBN: 978-3-540-37336-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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