Compound Terms and Their Multi-word Variants: Case of German and Russian Languages

  • Elizaveta Clouet
  • Béatrice Daille
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8403)


The terminology of any language and any domain continuously evolves and leads to a constant term renewal. Terms undergo a wide range of morphological and syntactic variations which have to be handled by any NLP applications. If the syntactic variations of multi-word terms have been described and tools designed to process them, only a few works studied the syntagmatic variants of compound terms. This paper is dedicated to the identification of such variants, and more precisely to the detection of synonymic pairs that consist of “compound term - multi-word term ”. We describe a pipeline for their detection, from compound recognition and splitting to alignment of the variants with original terms, through multi-word term extraction. The experiments are carried out for two compound-producing languages, German and Russian, and two specialised domains: wind energy and breast cancer. We identify variation patterns for these two languages and demonstrate that the transformation of a morphological compound into a syntagmatic compound mainly occurs when the term denomination needs to be enlarged.


Noun Phrase Wind Energy Variant Pair Russian Language Original Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Elizaveta Clouet
    • 1
  • Béatrice Daille
    • 1
  1. 1.LINAUniversity of NantesFrance

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