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Part of
Handbook of Terminology: Volume 3. Legal Terminology
Edited by Łucja Biel and Hendrik J. Kockaert
[Handbook of Terminology 3] 2023
► pp. 397–430

EU phraseological verbal patterns in the PETIMOD 2.0 corpus

A NER-enhanced approach

| Universidad de Málaga
| Universidad de Málaga

Texts from the European Union exhibit a high degree of formulaicity (Biel 2014). This chapter will study phraseological patterns in PETIMOD 2.0, an English<>Spanish intermodal corpus of the EU Committee on Petitions. The first part briefly overviews the corpus-based research on EU institutional phraseology, with a focus on contrastive approaches and parliamentary corpora. The second part studies the formulaicity of named entities and their verbal patterns in PETIMOD 2.0. We hypothesize that corpus-based Named Entity Recognition (NER) is the most suitable method to extract relevant argument-structure constructions from such texts. Results shed light on the existence of different degrees of formulaicity across languages and modes, but also on common features motivated by the pragmatics of the Petitions Committee.

Keywords: corpus-based translation and interpreting studies, formulaicity, intermodal corpora, named-entity recognition
Article outline
  • 1.Introduction
  • 2.Related work
  • 3.Study goals and methodology
    • 3.1Units of analysis
    • 3.2Choice of corpus
      • 3.2.1Corpus size
      • 3.2.2Transcription conventions and revisions
    • 3.3Named entity recognition
      • 3.3.1Extraction of entities and system performance
      • 3.3.2Phraseological Pattern Extraction for NEs
  • 4.Results and discussion
    • 4.1Distribution of NEs
    • 4.2Text-organizing patterns
    • 4.3Grammatical patterns
    • 4.4Term-embedding collocations
  • 5.Conclusion
  • Notes
  • References
Available under the Creative Commons Attribution-NoDerivatives (CC BY-ND) 4.0 license.

For any use beyond this license, please contact the publisher at [email protected].

Published online: 1 December 2023
DOI logo
https://doi.org/10.1075/hot.3.phr1
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