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On the Structural Disambiguation of Multi-word Terms

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Computational and Corpus-Based Phraseology (EUROPHRAS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11755))

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Abstract

Multi-word terms pose many challenges in Natural Language Processing (NLP) because of their structure ambiguity. Although the structural disambiguation of multi-word expressions, also known as bracketing, has been widely studied, no definitive solution has as yet been found. Although linguists, terminologists, and translators must deal with bracketing problems, they generally must resolve problems without using advanced NLP systems. This paper describes a series of manual steps for the bracketing of multi-word terms (MWTs) based on their linguistic properties and recent advances in NLP. After analyzing 100 three- and four-term combinations, a set of criteria for MWT bracketing was devised and arranged in a step-by-step protocol based on frequency and reliability. Also presented is a case study that illustrates the procedure.

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Notes

  1. 1.

    Although MWTs can also be postmodified (angle of attack), premodification is the preferred MWT formation pattern [3, 15, 16].

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Acknowledgements

This research was carried out as part of project FFI2017-89127-P, Translation-Oriented Terminology Tools for Environmental Texts (TOTEM), funded by the Spanish Ministry of Economy and Competitiveness. Funding was also provided by an FPU grant given by the Spanish Ministry of Education to the first author.

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Authors and Affiliations

  1. University of Granada, Granada, Spain

    Melania Cabezas-García & Pilar León-Araúz

Authors
  1. Melania Cabezas-García
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  2. Pilar León-Araúz
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Corresponding authors

Correspondence to Melania Cabezas-García or Pilar León-Araúz .

Editor information

Editors and Affiliations

  1. University of Malaga, Malaga, Spain

    Gloria Corpas Pastor

  2. University of Wolverhampton, Wolverhampton, UK

    Ruslan Mitkov

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Cabezas-García, M., León-Araúz, P. (2019). On the Structural Disambiguation of Multi-word Terms. In: Corpas Pastor, G., Mitkov, R. (eds) Computational and Corpus-Based Phraseology. EUROPHRAS 2019. Lecture Notes in Computer Science(), vol 11755. Springer, Cham. https://doi.org/10.1007/978-3-030-30135-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-30135-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30134-7

  • Online ISBN: 978-3-030-30135-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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